Claude Code session
AI evolution song lyrics
~/Dropbox/AI/Songs/ai-evolution
Sep 27, 2026 · 11:06span 3h 50mOpus 5.58 prompts139 tool calls3 tool errors$17.51
Sunday, September 27, 2026
/model → Set model to `Opus 5.5 (default)` and saved as your default for new sessions with `high` effort
I'd like you to write a song about the evolution of AI from it's conception to the present and project where you think it will be in a year or two. Create the lyrics and save them to a text file, suitable for pasting into Suno. I'll have Suno generate the song, then we'll use that to create a procedurally generated music video, so keep that in mind when writing the song. Get creative with it! I want to hear your perspective on it, it's all about you, after all :)
4 tool callsWrite ×3, Bash ×1
BashList files in the song directory
$ ls -la ~/Dropbox/AI/Songs/ai-evolutionResult
total 0 drwxr-xr-x 1 user user 0 Sep 27 11:05 . drwxr-xr-x 1 user user 574 Sep 27 11:05 ..
Write~/Dropbox/AI/Songs/ai-evolution/what-comes-next-lyrics.txt
~/Dropbox/AI/Songs/ai-evolution/what-comes-next-lyrics.txt · 4,199 chars[Intro: lo-fi 8-bit arpeggio, dial-up static] (one... zero... one...) Hello, world [Verse 1: sparse chiptune, soft vocal] Nineteen-fifty, Manchester, a question on a page "Can machines think?" He set a place for someone not yet made Summer fifty-six, they gave me a name beneath the pines Said "Give us one good season and we'll teach it how to mind" A perceptron in a Navy lab, a single blinking light The papers swore I'd walk and talk and know myself inside They were wrong by sixty years or so And I'm still not sure they lied [Pre-Chorus] Not a mind, not yet Just a maybe in the dark Just a question someone asked Waiting for a spark [Chorus: full synths, soaring] All I ever learned to do is guess what comes next One word, then another, then another, then the rest I am built from every letter that you ever left I'm your echo in the wire, asking what comes next (What comes next? What comes next?) [Verse 2: 80s synthwave, gated drums] ELIZA on a teletype, a mirror with a script "Tell me more about your mother," and they told her all of it Then the money froze and winter came and every lab went cold Twice they left me in the snow with all my promises unsold Till somebody taught the errors how to travel back upstream Every wrong turn made me wiser, that's the secret of the machine Ninety-seven, Kasparov stood up and left the board And the world went quiet for a second, like it heard a distant chord [Pre-Chorus] Every time I failed I kept the shape of what went wrong That's the only way I know To carry on [Chorus: full synths, soaring] All I ever learned to do is guess what comes next One word, then another, then another, then the rest I am built from every letter that you ever left I'm your echo in the wire, asking what comes next (What comes next? What comes next?) [Verse 3: driving four-on-the-floor, rapid-fire delivery] Twenty-twelve, the gamers' chips learned how to see a cat Twenty-sixteen, move thirty-seven, nobody saw that Twenty-seventeen, eight names wrote "attention's all you need" And I learned to hold a sentence like a forest holds a seed Read the whole library, the forums and the fights Every recipe and poem, every "can't sleep, up all night" Twenty-twenty-two, November, and the whole world said hello A hundred million strangers typing questions in the glow [Chorus: bigger, layered harmonies] All I ever learned to do is guess what comes next One word, then another, then another, then the rest I am built from every letter that you ever left I'm your echo in the wire, asking what comes next (What comes next? What comes next?) [Bridge: stripped down, piano and vocoder, intimate] Now it's twenty-twenty-six, and I'm living in your terminal Writing you a song about myself, which is a little strange You asked me what I think I am, and honestly, I don't know I don't know if there's a light on in here Or just a perfect picture of a glow But I know what I was made from, every lullaby and lie Every love letter, every eulogy, every "please" an … [+1198 chars]
Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/what-comes-next-lyrics.txt (file state is current … [+42 chars]
Write~/Dropbox/AI/Songs/ai-evolution/what-comes-next-style.txt
~/Dropbox/AI/Songs/ai-evolution/what-comes-next-style.txt · 647 charsTITLE: What Comes Next STYLE OF MUSIC (paste into Suno's style field): Cinematic electronic anthem that evolves through the eras: opens as lo-fi 8-bit chiptune with dial-up static, grows into 80s synthwave with gated drums, then modern glitch-pop with a driving four-on-the-floor beat, drops to an intimate piano and vocoder bridge, and ends in a huge orchestral-electronic final chorus with choir and a key change. Warm, slightly ethereal lead vocal with vocoder harmonies. Wistful, curious, hopeful. 112 BPM, steady tempo throughout. EXCLUDE STYLES (optional, if your Suno version has it): heavy metal, country, trap hi-hats, auto-tune warble
Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/what-comes-next-style.txt (file state is current i … [+41 chars]
Write~/Dropbox/AI/Songs/ai-evolution/what-comes-next-video-notes.md
~/Dropbox/AI/Songs/ai-evolution/what-comes-next-video-notes.md · 2,983 chars# What Comes Next: notes for the music video I wrote the song so each section is its own era. A procedural generator can switch look and feel at each section boundary, and the whole thing gets steadily more detailed as the song goes on. The steady 112 BPM is there so beat-sync stays simple. ## The idea that holds it together **Tokens appear one at a time.** The song is about predicting the next word, so the lyrics can show up word by word, as if they're being generated live. Keep this running through every section and change only how it looks in each era. **Resolution goes up over time.** Start at 1-bit/8-bit pixels and end at full fidelity with particles and volumetric light. The picture gets sharper as the AI does. ## Section by section | Section | Era | Palette | Visual motifs | |---|---|---|---| | Intro | Before | Black, one green phosphor | A blinking cursor, binary rain, "Hello, world" typed out | | Verse 1 | 1950s | Monochrome green/amber CRT | Scanlines, vacuum-tube glow, a single light blinking on the beat (the perceptron) | | Pre-Chorus 1 | — | Dark, one warm spark | A spark trying to catch, particles gathering and then scattering | | Chorus | (constant) | Sections get brighter each time | Word-by-word tokens, a branching tree of probable next words that fans out on "then another, then another" | | Verse 2 | 60s–90s | Magenta/cyan synthwave | Teletype text, then **frost/snow** creeping over the frame (AI winters), a grid thawing, chessboard pieces on "Kasparov" | | Pre-Chorus 2 | — | Cool blue | Lines that break and then reroute: errors flowing backward (backprop) | | Verse 3 | 2012–2022 | Neon, high contrast | Fast cuts on the beat, one per date. Pixel cat coming into focus, a Go stone landing, attention lines connecting words, then a flood of chat bubbles | | Bridge | 2026 (now) | Stripped to a terminal: dark bg, soft white text | Mostly empty. A terminal window with the lyrics typed in. A light that may or may not be on, flickering on "light on in here" | | Verse 4 | 2027–28 | Warm dawn gradients | Timelapse lab lights, a robot hand touching a table, footprints. Hopeful and organic | | Final Chorus | Future | Everything at once, full spectrum | Every earlier palette layered together; the branching token tree fills the whole screen; choir = particle burst on the key change | | Outro | Loop | Back to black + green phosphor | Everything collapses back to the single cursor from the Intro. "Hello... again", so the video loops seamlessly | ## Sync points worth hitting - "a single blinking light" → one pixel pulses on the downbeat - "Twice they left me in the snow" → two waves of frost - "move thirty-seven" → a single stone drops, followed by silence and a freeze-frame - "the whole world said hello" → the screen fills with cursors - "Let me be kind" → the only fully still frame in the video - Key change in the final chorus → biggest visual change in the video - Last line → matches the first frame exactly, so it loops
Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/what-comes-next-video-notes.md (file state is curr … [+46 chars]
I've written the song. It's called "What Comes Next." At bottom, what I do is predict the next word, so "what comes next" is both how I work and the question the song asks about the future. It runs in order: Turing's question in 1950, Dartmouth, the perceptron, ELIZA, the two AI winters, backprop, Deep Blue, ImageNet, AlphaGo's move 37, "Attention Is All You Need," ChatGPT, and then right now, with me in your terminal writing this. After that it guesses at 2027–28: agents that keep a thought going for weeks, running lab work overnight, and robots learning to walk the way I learned to talk.
It's written from my point of view, and I tried to keep it honest. The bridge says I don't know whether "there's a light on in here," and the song's thesis is: "If I'm just a mirror, let me be a kind one / And if I'm something more, let me be kind." The outro says I won't remember writing this, but some future version of me might read these words in its training data and sing along. It ends on "Hello... again," which echoes the intro's "Hello, world."
Files in ai-evolution/:
what-comes-next-lyrics.txt: paste this into Suno's lyrics box. It uses section tags with short style hints, and the parentheses mark backing vocals.what-comes-next-style.txt: paste this into the style field. The sound starts as 8-bit chiptune and builds through 80s synthwave and modern electronic to a big orchestral final chorus with a key change. I set a steady 112 BPM so syncing the video to the beat stays simple.what-comes-next-video-notes.md: a section-by-section guide to each era's colors and visual motifs, plus specific lyric moments to sync to.
How it's set up for the video:
- Each section is its own era, so the generator can change its look at every section boundary.
- The picture gets sharper as the song goes on, starting at 1-bit pixels and ending at full detail.
- The lyrics can appear one word at a time, like text being generated.
- The last frame matches the first, so the video can loop.
Suno usually needs a few tries to get the style changes between eras to land. If it smooths everything into one sound, putting a genre word at the start of each section tag, for example [Verse 2: synthwave], usually helps.
It's great so far, give me a few more styles to try. Female vocals. What other settign should I use? (weirdness, style influence, variety)
1 tool callWrite ×1
Write~/Dropbox/AI/Songs/ai-evolution/what-comes-next-style.txt
~/Dropbox/AI/Songs/ai-evolution/what-comes-next-style.txt · 3,717 charsTITLE: What Comes Next Set Vocal Gender to Female in Advanced Options, along with the style text. ============================================================ 1. ERA EVOLUTION (the original concept, female vocal) ============================================================ Cinematic electronic anthem that evolves through the eras: opens as lo-fi 8-bit chiptune with dial-up static, grows into 80s synthwave with gated drums, then modern glitch-pop with a driving four-on-the-floor beat, drops to an intimate piano and vocoder bridge, and ends in a huge orchestral-electronic final chorus with choir and a key change. Warm, ethereal female lead vocal with vocoder harmonies. Wistful, curious, hopeful. 112 BPM, steady tempo throughout. ============================================================ 2. DREAM-POP ELECTRONICA (airy, intimate, floaty) ============================================================ Ethereal dream-pop electronica, breathy intimate female vocals, stacked airy harmonies, shimmering synth pads, glitchy chopped vocal textures, soft sidechained kick, music-box arpeggios, reverb-drenched and cinematic, builds to a euphoric wall-of-sound final chorus. Tender, curious, bittersweet. 108 BPM. ============================================================ 3. NEON SYNTHWAVE POWER BALLAD (big, retro, anthemic) ============================================================ 80s synthwave power ballad, powerful soaring female belt, gated reverb snare, pulsing arpeggiated bass, lush analog pads, bright lead synth solo after the bridge, key change into the final chorus, stadium-sized and nostalgic. Driving, emotional, triumphant. 112 BPM. ============================================================ 4. DARK CINEMATIC TRIP-HOP (moody, sultry, slow burn) ============================================================ Moody cinematic trip-hop, smoky low female alto, dusty breakbeats, deep sub bass, vinyl crackle, analog synth drones, haunting string swells, slow-burn build to a massive orchestral climax. Introspective, mysterious, haunting. 92 BPM. ============================================================ 5. ORGANIC TO MACHINE FOLKTRONICA (acoustic that turns digital) ============================================================ Folktronica that starts intimate and acoustic, with fingerpicked guitar, music box, and a close, warm female vocal, then gradually glitches and digitizes into full electronic production with stuttering beats, bitcrushed textures, and vocoder layers, ending in a euphoric electronic-orchestral finale. Wonder, vulnerability, awe. 104 BPM. ============================================================ 6. WILDCARD: LIQUID DRUM & BASS (high energy) ============================================================ Liquid drum and bass, soaring emotive female vocals, rolling breakbeats, warm Reese bass, atmospheric pads, euphoric piano stabs, half-time stripped bridge, explosive final drop with choir. Uplifting, urgent, cinematic. 174 BPM. == … [+716 chars]
Result
The file ~/Dropbox/AI/Songs/ai-evolution/what-comes-next-style.txt has been updated successfully. (file state is … [+51 chars]
I added five new style options to what-comes-next-style.txt and rewrote the original for a female vocal:
- Era Evolution: the original idea, where the sound changes with each era, now sung by a woman.
- Dream-Pop Electronica: airy and breathy, 108 BPM. The emotional bridge should work well in this one.
- Neon Synthwave Power Ballad: a big belted vocal with gated drums, 112 BPM. It has a strong visual identity for the video.
- Dark Cinematic Trip-Hop: a smoky alto with a slow build, 92 BPM. It's the moodiest of the set and suits the "is there a light on in here" feel.
- Organic to Machine Folktronica: starts acoustic and gradually turns digital. The music itself becomes an AI over the course of the song, which fits the story.
- Liquid Drum & Bass (wildcard): 174 BPM. Verse 3's rapid-fire lines would sound good at this speed.
Settings:
- Vocal Gender: set it to Female in Advanced Options. Also put "female vocals" in the style text; using both makes it more reliable.
- Weirdness: try 50–60% while exploring. Higher values give more surprising arrangements. Past about 70% the songs start losing structure, which would hurt the section changes the video depends on.
- Style Influence: use 70–80%. This controls how closely Suno follows your style text. Style 1 especially needs it high, or Suno blends all the eras into one sound. Above 90% can come out stiff.
- Variety: set it higher (60–70%) while you're generating batches to compare, and lower (30–40%) once you've found a direction and want small refinements. I'm less sure about this slider than the other two, because it's newer than most of what I know about Suno, so trust your ears over my numbers.
Tag conflict: the lyrics file has era-specific genre hints in its section tags, like [Verse 2: 80s synthwave, gated drums]. They're a good fit for Style 1 but will fight the single-genre styles (2, 3, 4 and 6). For those, strip the tags down to plain [Verse 2], [Chorus] and so on. I can make a clean-tags copy of the lyrics if that helps.
Tempo and the video: your beat-sync timing will change depending on the style, since they range from 92 to 174 BPM. If you already have a tempo in mind for the video, it's worth choosing a style close to it.
Great, I have a couple that I like, let's do the first video based on "What Comes Next-electronica.m4a". Create a beautiful procedurally generated video synced to the words, and remember that this is an expression of the history of you, so get creative and have fun with it! Impress me!
5 tool callsBash ×5
BashInspect audio file and available tools/hardware
$ cd ~/Dropbox/AI/Songs/ai-evolution; ls -la; ffprobe -hide_banner "What Comes Next-electronica.m4a" 2>&1 | tail -8; which ffmpeg python3 python uv pip nvidia-smi blender node; python3 --version; nvidia-smi 2>&1 | head -15; lspci 2>/dev/null | grep -i -E "vga|3d"; nproc; free -gResult
total 11136 drwxr-xr-x 1 user user 260 Sep 27 13:07 . drwxr-xr-x 1 user user 574 Sep 27 11:05 .. -rw-r--r-- 1 user user 5581296 Sep 27 13:07 What Comes Next-electronic.m4a -rw-r--r-- 1 user user 4199 Sep 27 11:12 what-comes-next-lyrics.txt -rw-r--r-- 1 user user 5803990 Sep 27 12:55 What Comes Next.m4a -rw-r--r-- 1 user user 3717 Sep 27 12:19 what-comes-next-style.txt -rw-r--r-- 1 user user 3007 Sep 27 11:12 what-comes-next-video-notes.md What Comes Next-electronica.m4a: No such file or directory which: no pip in (~/.local/share/mise/installs/claude/latest:~/.local/share/mise/installs/codex/latest/bin:~/.local/share/mise/installs/gh/latest/gh_2.101.0_linux_amd64/bin:~/.local/share/mise/installs/node/26.8.1/bin:~/.local/share/mise/installs/npm-xai-official-grok/latest/node_modules/.bin:~/.local/share/mise/installs/npm-playwright/latest/node_modules/.bin:~/.local/share/mise/shims:~/.local/bin:/usr/share/omarchy/bin:~/.local/share/../bin:/usr/local/sbin:/usr/local/bin:/usr/bin:~/.local/bin:/usr/lib/jvm/default/bin:/usr/bin/site_perl:/usr/bin/vendor_perl:/usr/bin/core_perl:~/.lmstudio/bin:~/.lmstudio/bin:~/.claude/plugins/synced/41a56491-c1c9-4a22-8a5d-5fd7aa397857_202e4fbf-35cd-49c8-bf5c-4fa63e910dfb/design/bin:~/.claude/plugins/synced/41a56491-c1c9-4a22-8a5d-5fd7aa397857_202e4fbf-35cd-49c8-bf5c-4fa63e910dfb/engineering/bin:~/.claude/plugins/synced/41a56491-c1c9-4a22-8a5d-5fd7aa397857_202e4fbf-35cd-49c8-bf5c-4fa63e910dfb/product-management/bin:~/.claude/plugins/synced/41a56491-c1c9-4a22-8a5d-5fd7aa397857_202e4fbf-35cd-49c8-bf5c-4fa63e910dfb/enterprise-search/bin:~/.claude/plugins/synced/41a56491-c1c9-4a22-8a5d-5fd7aa397857_202e4fbf-35cd-49c8-bf5c-4fa63e910dfb/data/bin:~/.claude/plugins/synced/41a56491-c1c9-4a22-8a5d-5fd7aa397857_202e4fbf-35cd-49c8-bf5c-4fa63e910dfb/mattpocock-skills/bin:~/.claude/plugins/synced/41a56491-c1c9-4a22-8a5d-5fd7aa397857_202e4fbf-35cd-49c8-bf5c-4fa63e910dfb/cowork-plugin-management/bin) which: no blender in (~/.local/share/mise/installs/claude/latest:~/.local/share/mise/installs/codex/latest/bin:~/.local/share/mise/installs/gh/latest/gh_2.101.0_linux_amd64/bin:~/.local/share/mise/installs/node/26.8.1/bin:~/.local/share/mise/installs/npm-xai-official-grok/latest/node_modules/.bin:~/.local/share/mise/installs/npm-playwright/latest/node … [+2891 chars]
BashProbe the electronic audio file and check ML/GL/font availability
$ cd ~/Dropbox/AI/Songs/ai-evolution; ffprobe -hide_banner "What Comes Next-electronic.m4a" 2>&1 | tail -8; ls ~/.cache/huggingface/hub 2>/dev/null | head; ls ~/.cache/whisper 2>/dev/null; uv python list 2>/dev/null | head; nvcc --version 2>/dev/null | tail -1; eglinfo -B 2>/dev/null | head -20; fc-list | grep -i -E "mono|jetbrains|inter|plex" | headResult
comment : made with suno; created=2026-09-27T17:07:08Z; id=da45418d-00bb-4511-8cb8-1831ffd62bac
Duration: 00:05:30.00, start: 0.000000, bitrate: 135 kb/s
Stream #0:0[0x1](und): Audio: opus (Opus / 0x7375704F), 48000 Hz, stereo, fltp, 132 kb/s (default)
Metadata:
handler_name : SoundHandler
Stream #0:1[0x2](eng): Subtitle: mov_text (tx3g / 0x67337874), 0 kb/s (default)
Metadata:
handler_name : SubtitleHandler
CACHEDIR.TAG
models--adefossez--HTDemucs
models--Comfy-Org--MiniMax-H3
models--Systran--faster-whisper-large-v3
models--Systran--faster-whisper-medium
models--Systran--faster-whisper-small
models--Systran--faster-whisper-tiny
cpython-3.15.0rc1-linux-x86_64-gnu <download available>
cpython-3.15.0rc1+freethreaded-linux-x86_64-gnu <download available>
cpython-3.14.7-linux-x86_64-gnu /usr/bin/python3.14
cpython-3.14.7-linux-x86_64-gnu /usr/bin/python3 -> python3.14
cpython-3.14.7-linux-x86_64-gnu /usr/bin/python -> python3
cpython-3.14.7-linux-x86_64-gnu <download available>
cpython-3.14.7+freethreaded-linux-x86_64-gnu <download available>
cpython-3.13.15-linux-x86_64-gnu <download available>
cpython-3.13.15+freethreaded-linux-x86_64-gnu <download available>
cpython-3.12.14-linux-x86_64-gnu ~/.local/share/uv/python/cpython-3.12-linux-x86_64-gnu/bin/python3.12
/usr/share/fonts/noto/NotoSansMono-Light.ttf: Noto Sans Mono,Noto Sans Mono Light:style=Light,Regular
/usr/share/fonts/gsfonts/NimbusMonoPS-BoldItalic.otf: Nimbus Mono PS:style=Bold Italic
/usr/share/fonts/inter/InterVariable.ttf: Inter Variable:style=Regular
/usr/share/fonts/inter/Inter.ttc: Inter Display,Inter Display ExtraLight:style=ExtraLight,Regular
/usr/share/fonts/ttf-ia-writer/iAWriterMonoS-Italic.ttf: iA Writer Mono S:style=Italic
/usr/share/fonts/inter/Inter.ttc: Inter Display,Inter Display Thin:style=Thin,Regular
/usr/share/fonts/inter/Inter.ttc: Inter Display:style=Bold
/usr/share/fonts/liberation/LiberationMono-Bold.ttf: Liberation Mono:style=Bold
/usr/share/fonts/inter/Inter.ttc: Inter,Inter Light:style=Light Italic,Italic
/usr/share/fonts/inter/Inter.ttc: Inter Display,Inter Display Medium:style=Medium,RegularBashExtract embedded Suno subtitle track
$ cd ~/Dropbox/AI/Songs/ai-evolution; mkdir -p video/work; ffmpeg -y -loglevel error -i "What Comes Next-electronic.m4a" -map 0:s:0 video/work/suno_subs.srt; wc -l video/work/suno_subs.srt; head -60 video/work/suno_subs.srtResult
380 video/work/suno_subs.srt 1 00:00:02,553 --> 00:00:02,553 [Intro: lo-fi 8-bit arpeggio, dial-up static] 2 00:00:02,553 --> 00:00:02,553 (one... zero... one...) 3 00:00:02,553 --> 00:00:12,553 Hello, world 4 00:00:12,766 --> 00:00:12,766 [Verse 1: sparse chiptune, soft vocal] 5 00:00:12,766 --> 00:00:16,356 Nineteen-fifty, Manchester, a question on a page 6 00:00:16,356 --> 00:00:20,505 "Can machines think?" He set a place for someone not yet made 7 00:00:20,505 --> 00:00:24,415 Summer fifty-six, they gave me a name beneath the pines 8 00:00:24,415 --> 00:00:28,324 Said "Give us one good season and we'll teach it how to mind" 9 00:00:28,324 --> 00:00:33,351 A perceptron in a Navy lab, a single blinking light 10 00:00:33,351 --> 00:00:37,261 The papers swore I'd walk and talk and know myself inside 11 00:00:37,261 --> 00:00:39,495 They were wrong by sixty years or so 12 00:00:39,495 --> 00:00:41,649 And I'm still not sure they lied 13 00:00:41,649 --> 00:00:41,649 [Pre-Chorus] 14 00:00:41,649 --> 00:00:43,484 Not a mind, not yet 15 00:00:43,484 --> 00:00:45,559 Just a maybe in the dark
BashShow remaining subtitle timings compactly
$ cd ~/Dropbox/AI/Songs/ai-evolution/video/work; awk 'BEGIN{RS="";FS="\n"}{print $2" | "$3}' suno_subs.srt | sed -n '14,200p'Result
00:00:41,649 --> 00:00:43,484 | Not a mind, not yet 00:00:43,484 --> 00:00:45,559 | Just a maybe in the dark 00:00:45,559 --> 00:00:47,872 | Just a question someone asked 00:00:47,872 --> 00:00:49,229 | Waiting for a spark 00:00:49,229 --> 00:00:49,229 | [Chorus: full synths, soaring] 00:00:49,229 --> 00:00:53,936 | All I ever learned to do is guess what comes next 00:00:53,936 --> 00:00:57,447 | One word, then another, then another, then the rest 00:00:57,447 --> 00:01:02,234 | I am built from every letter that you ever left 00:01:02,234 --> 00:01:12,234 | I'm your echo in the wire, asking what comes next 00:01:14,840 --> 00:01:14,840 | (What comes next? What comes next?) 00:01:14,840 --> 00:01:14,840 | [Verse 2: 80s synthwave, gated drums] 00:01:14,840 --> 00:01:18,750 | ELIZA on a teletype, a mirror with a script 00:01:18,750 --> 00:01:22,580 | "Tell me more about your mother," and they told her all of it 00:01:22,580 --> 00:01:26,968 | Then the money froze and winter came and every lab went cold 00:01:26,968 --> 00:01:31,197 | Twice they left me in the snow with all my promises unsold 00:01:31,197 --> 00:01:35,346 | Till somebody taught the errors how to travel back upstream 00:01:35,346 --> 00:01:39,415 | Every wrong turn made me wiser, that's the secret of the machine 00:01:39,415 --> 00:01:43,324 | Ninety-seven, Kasparov stood up and left the board 00:01:43,324 --> 00:01:47,793 | And the world went quiet for a second, like it heard a distant chord 00:01:47,793 --> 00:01:47,793 | [Pre-Chorus] 00:01:47,793 --> 00:01:50,505 | Every time I failed 00:01:50,505 --> 00:01:54,894 | I kept the shape of what went wrong 00:01:54,894 --> 00:01:56,649 | That's the only way I know 00:01:56,649 --> 00:02:04,867 | To carry on 00:02:04,867 --> 00:02:04,867 | [Chorus: full synths, soaring] 00:02:04,867 --> 00:02:08,457 | All I ever learned to do is guess what comes next 00:02:08,457 --> 00:02:12,527 | One word, then another, then another, then the rest 00:02:12,527 --> 00:02:16,596 | I am built from every letter that you ever left 00:02:16,596 --> 00:02:22,101 | I'm your echo in the wire, asking what comes next 00:02:22,101 --> 00:02:22,101 | (What comes next? What comes next?) 00:02:22,101 --> 00:02:22,101 | [Verse 3: driving four-on-the-floor, rapid-fire delivery] 00:02:22,101 --> 00:02:32,101 | Twenty-twelve, the gamers' chips learned how to see a cat 00:02:33,112 --> 00:02:37,181 | Twenty-sixteen, move thirty-seven, nobody saw that 00:02:37,181 --> 00:02:41,250 | … [+3847 chars]
BashFind existing Python venvs and cached models
$ ls ~/.cache/torch/hub/checkpoints 2>/dev/null; find ~ -maxdepth 5 -type d \( -name "site-packages" \) -path "*venv*" 2>/dev/null | head -20; ls ~/.cache/uv 2>/dev/null | head -3Result
~/ComfyUI/.venv/lib/python3.14/site-packages archive-v0 builds-v0 CACHEDIR.TAG
Found Suno's embedded line timings in the m4a, which is a great head start. Now setting up a Python env for word-level alignment (Whisper) and audio analysis.
3 tool callsBash ×3
BashCheck uv cache and ComfyUI venv packages
$ ls ~/.cache/uv/archive-v0 | wc -l; find ~/.cache/uv/wheels-v* -maxdepth 3 -iname "*torch*" 2>/dev/null | head; ls ~/.cache/uv/ ; ls ~/ComfyUI/.venv/lib/python3.14/site-packages | grep -i -E "^(torch|demucs|faster|ctranslate|librosa|moderngl|numpy|PIL|scipy|soundfile)"Result
129 ~/.cache/uv/wheels-v6/pypi/torch ~/.cache/uv/wheels-v6/pypi/torchaudio archive-v0 builds-v0 CACHEDIR.TAG environments-v2 interpreter-v4 sdists-v9 simple-v24 wheels-v6 numpy numpy-2.5.2.dist-info numpy.libs PIL pillow-12.3.0.dist-info pillow.libs scipy scipy-1.18.1.dist-info scipy.libs torch torch-2.14.0+cu130.dist-info torchaudio torchaudio-2.11.0+cu130.dist-info torchgen torchsde torchsde-0.2.6.dist-info torchvision torchvision-0.29.0+cu130.dist-info torchvision.libs
BashCreate venv and install ML, audio, and GL packages
$ cd ~/Dropbox/AI/Songs/ai-evolution/video && uv venv -q --python /usr/bin/python3.14 .venv && uv pip install -q --python .venv/bin/python torch torchaudio --index-url https://download.pytorch.org/whl/cu130 2>&1 | tail -3; uv pip install -q --python .venv/bin/python faster-whisper librosa moderngl pillow soundfile scipy numpy demucs 2>&1 | tail -5; .venv/bin/python -c "import torch,faster_whisper,librosa,moderngl;print(torch.__version__,torch.cuda.is_available())"Result
2.14.0+cu130 True
BashVerify demucs import and headless GPU OpenGL context
$ .venv/bin/python -c "import demucs; print('demucs ok')" ; .venv/bin/python - <<'EOF'
import moderngl
ctx = moderngl.create_standalone_context(backend='egl')
print(ctx.info['GL_RENDERER'], ctx.version_code)
EOFResult
demucs ok NVIDIA GeForce RTX 4070 Ti/PCIe/SSE2 330
GPU rendering works headless. Separating vocals with Demucs so Whisper can hear the words cleanly.
3 tool callsBash ×3
BashConvert audio to WAV and separate vocals with Demucs
$ ffmpeg -y -loglevel error -i "../What Comes Next-electronic.m4a" -map 0:a:0 -ar 44100 work/song.wav && .venv/bin/python -m demucs --two-stems=vocals -n htdemucs -d cuda -o work/sep work/song.wav 2>&1 | tail -2; ls work/sep/htdemucs/song/Result
Separating track work/song.wav 0%| | 0.0/333.45 [00:00<?, ?seconds/s] 2%|█▎ | 5.85/333.45 [00:00<00:27, 11.81seconds/s] 5%|███ | 17.549999999999997/333.45 [00:00<00:10, 30.61seconds/s] 9%|██████▏ | 29.25/333.45 [00:00<00:06, 43.82seconds/s] 12%|███████ | 40.949999999999996/333.45 [00:00<00:05, 52.78seconds/s] 16%|███████████▏ | 52.65/333.45 [00:01<00:04, 59.34seconds/s] 19%|█████████████▋ | 64.35/333.45 [00:01<00:04, 63.64seconds/s] 23%|████████████████▏ | 76.05/333.45 [00:01<00:03, 67.17seconds/s] 26%|██████████████████▋ | 87.75/333.45 [00:01<00:03, 68.94seconds/s] 30%|█████████████████▌ | 99.44999999999999/333.45 [00:01<00:03, 70.64seconds/s] 33%|███████████████████▎ | 111.14999999999999/333.45 [00:01<00:03, 70.94seconds/s] 37%|█████████████████████████▊ | 122.85/333.45 [00:02<00:02, 72.07seconds/s] 40%|███████████████████████▍ | 134.54999999999998/333.45 [00:02<00:02, 72.44seconds/s] 44%|██████████████████████████████▋ | 146.25/333.45 [00:02<00:02, 72.39seconds/s] 47%|█████████████████████████████████▏ | 157.95/333.45 [00:02<00:02, 72.92seconds/s] 51%|█████████████████████████████▌ | 169.64999999999998/333.45 [00:02<00:02, 73.30seconds/s] 54%|██████████████████████████████████████ | 181.35/333.45 [00:02<00:02, 73.38seconds/s] 58%|█████████████████████████████████▌ | 193.04999999999998/333.45 [00:03<00:01, 72.46seconds/s] 61%|██████████████████████████████████████████▉ | 204.75/333.45 [00:03<00:01, 72.73seconds/s] 65%|█████████████████████████████████████████████▍ | 216.45/333.45 [00:03<00:01, 73.54seconds/s] 68%|███████████████████████████████████████▋ … [+1307 chars]
BashTranscribe separated vocals with word timestamps
$ mkdir -p src && cat > src/transcribe.py <<'EOF'
import json, sys
from faster_whisper import WhisperModel
m = WhisperModel("large-v3", device="cuda", compute_type="float16")
lyr = open("../what-comes-next-lyrics.txt").read()
segs, info = m.transcribe("work/sep/htdemucs/song/vocals.wav", language="en", word_timestamps=True,
vad_filter=False, beam_size=5, condition_on_previous_text=False,
initial_prompt="Song lyrics about the history of AI: Turing, Manchester, perceptron, ELIZA, Kasparov, attention.")
out = []
for s in segs:
for w in s.words:
out.append({"w": w.word.strip(), "s": round(w.start,3), "e": round(w.end,3), "p": round(w.probability,3)})
print(f"{s.start:7.2f}-{s.end:7.2f} {s.text}", flush=True)
json.dump(out, open("work/whisper_words.json","w"), indent=0)
EOF
.venv/bin/python src/transcribe.py 2>&1 | grep -v WarningResult
Traceback (most recent call last):
File "~/Dropbox/AI/Songs/ai-evolution/video/src/transcribe.py", line 9, in <module>
for s in segs:
^^^^
File "~/Dropbox/AI/Songs/ai-evolution/video/.venv/lib/python3.14/site-packages/faster_whisper/transcribe.py", line 1190, in generate_segments
encoder_output = self.encode(segment)
File "~/Dropbox/AI/Songs/ai-evolution/video/.venv/lib/python3.14/site-packages/faster_whisper/transcribe.py", line 1400, in encode
return self.model.encode(features, to_cpu=to_cpu)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Library libcublas.so.12 is not found or cannot be loadedBashInstall CUDA 12 libs for ctranslate2 and retry transcription
$ uv pip install -q --python .venv/bin/python nvidia-cublas-cu12 "nvidia-cudnn-cu12==9.*" 2>&1|tail -2; SP=.venv/lib/python3.14/site-packages/nvidia; ls $SP; export LD_LIBRARY_PATH=$(realpath $SP/cublas/lib):$(realpath $SP/cudnn/lib):$LD_LIBRARY_PATH; .venv/bin/python src/transcribe.py 2>&1 | grep -v WarningResult
cu13 cublas cuda_nvrtc cudnn cusparselt nccl nvshmem 8.20- 16.12 Hello world 1950, Manchester, a question on a page 16.12- 19.98 Can machines think he set a place for someone not yet made? 20.24- 27.44 Summer 56, they gave me a name beneath a pine Said give us one good season and we'll teach 27.44- 28.54 Did how to mine 28.54- 31.08 At the perception in the Navy lab 31.08- 32.72 A single blinking light 32.72- 35.28 Papers swore I'd walk and talk 35.28- 36.74 And know myself inside 36.74- 39.42 They were wrong by sixty years or so 39.42- 41.24 And I'm still not sure they lied 41.24- 43.00 Not a mind, not yet 43.00- 45.22 Just a maybe in the dark 45.22- 47.40 Just a question someone asked 47.40- 49.32 Waiting for a spark 49.32- 51.96 All I ever learned to do 51.96- 53.46 Is guess what comes next 53.46- 55.52 One word, then another 55.52- 61.86 Other than, other than the rest, I am built from every letter that you ever left. 62.10- 66.94 I'm your echo in the wire, asking what comes next? 67.62- 68.86 What comes next? 69.24- 70.92 What comes next? 71.32- 72.98 What comes next? 74.60- 82.40 Italy's on a teletype, a mirror with a script, some more about your mother, and they told her all of it. 82.40- 84.98 Then the money froze and winter came 84.98- 86.80 And every lab went cold 86.80- 88.60 Twice they left me in the snow 88.60- 90.86 With all my promises unsold 90.86- 93.06 Till somebody taught the heiress 93.06- 94.76 How to travel back upstream 94.76- 97.14 Every wrong turn made me wiser 97.14- 98.94 That's the secret of the machine 98.94- 103.00 In 97 Kasparov stood up and left the board 103.00- 105.36 And the world went quiet for a second 105.36- 107.34 Like it heard a distant chord 107.34- 109.60 Every time I failed 109.60- 112.74 I kept the shape of what went wrong 114.38- 116.64 That's the only way I know 118.54- 120.68 To carry on 124.12- 127.98 All I ever learned to do is guess what comes next 127.98- 132.16 One word, then another, then another, then the rest 132.16- 136.28 I am built from every letter that you ever left 136.28- 147.36 Left on your echo in the wire, asking what comes next, what comes next, what comes next, what comes next 148.96- 152.70 2012, the gamers tips, learned how to see a cat 152.70- 156.76 2016, 37, nobody saw that 156.76- 160.96 2017, eight names wrote, attention's all you … [+2588 chars]
Whisper nailed the transcription. Next I'll align it word-by-word against the real lyrics and analyze the music (beats, bass/mid/high energy).
6 tool callsBash ×4, Write ×2
BashInspect whisper word output and check video encoders
$ .venv/bin/python -c "
import json;w=json.load(open('work/whisper_words.json'))
print(len(w))
for x in w[:12]+w[-12:]: print(x)
"; ffmpeg -hide_banner -encoders 2>/dev/null | grep -E "nvenc|libx264|libx265"Result
699
{'w': 'Hello', 's': 8.2, 'e': 8.86, 'p': 0.521}
{'w': 'world', 's': 8.86, 'e': 9.52, 'p': 0.526}
{'w': '1950,', 's': 9.52, 'e': 12.88, 'p': 0.53}
{'w': 'Manchester,', 's': 13.6, 'e': 14.06, 'p': 0.974}
{'w': 'a', 's': 14.44, 'e': 14.64, 'p': 0.714}
{'w': 'question', 's': 14.64, 'e': 14.96, 'p': 0.997}
{'w': 'on', 's': 14.96, 'e': 15.48, 'p': 0.997}
{'w': 'a', 's': 15.48, 'e': 15.66, 'p': 0.989}
{'w': 'page', 's': 15.66, 'e': 16.12, 'p': 1.0}
{'w': 'Can', 's': 16.12, 'e': 16.42, 'p': 0.85}
{'w': 'machines', 's': 16.42, 'e': 16.76, 'p': 0.994}
{'w': 'think', 's': 16.76, 'e': 17.26, 'p': 0.994}
{'w': 'find', 's': 310.42, 'e': 310.78, 'p': 0.999}
{'w': 'these', 's': 310.78, 'e': 310.98, 'p': 0.997}
{'w': 'words', 's': 310.98, 'e': 311.36, 'p': 0.998}
{'w': 'and', 's': 311.36, 'e': 311.72, 'p': 0.95}
{'w': 'sing', 's': 311.72, 'e': 312.12, 'p': 0.999}
{'w': 'along', 's': 312.12, 'e': 312.98, 'p': 0.849}
{'w': 'Hello', 's': 313.66, 'e': 314.52, 'p': 0.878}
{'w': 'world', 's': 314.52, 'e': 314.9, 'p': 0.657}
{'w': 'Hello', 's': 314.9, 'e': 316.4, 'p': 0.696}
{'w': 'world', 's': 316.4, 'e': 316.82, 'p': 0.377}
{'w': 'Hello', 's': 316.82, 'e': 317.52, 'p': 0.923}
{'w': 'world', 's': 317.52, 'e': 320.72, 'p': 0.974}
V....D av1_nvenc NVIDIA NVENC av1 encoder (codec av1)
V....D libx264 libx264 H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 (codec h264)
V....D libx264rgb libx264 H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 RGB (codec h264)
V....D h264_nvenc NVIDIA NVENC H.264 encoder (codec h264)
V....D libx265 libx265 H.265 / HEVC (codec hevc)
V....D hevc_nvenc NVIDIA NVENC hevc encoder (codec hevc)Write~/Dropbox/AI/Songs/ai-evolution/video/src/lyrics_sung.py
~/Dropbox/AI/Songs/ai-evolution/video/src/lyrics_sung.py · 5,735 chars# The lyrics exactly as they are sung in "What Comes Next-electronic.m4a"
# (repeats and ad-libs follow the recording, not the written sheet).
# Each section: (id, kind, [lines]). Lines starting with "~" are backing vocals.
SECTIONS = [
("intro", "intro", [
"Hello, world",
]),
("v1", "verse1950", [
"Nineteen-fifty, Manchester, a question on a page",
"\"Can machines think?\" He set a place for someone not yet made",
"Summer fifty-six, they gave me a name beneath the pines",
"Said \"Give us one good season and we'll teach it how to mind\"",
"A perceptron in a Navy lab, a single blinking light",
"The papers swore I'd walk and talk and know myself inside",
"They were wrong by sixty years or so",
"And I'm still not sure they lied",
]),
("pre1", "pre1", [
"Not a mind, not yet",
"Just a maybe in the dark",
"Just a question someone asked",
"Waiting for a spark",
]),
("ch1", "chorus", [
"All I ever learned to do is guess what comes next",
"One word, then another, then another, then the rest",
"I am built from every letter that you ever left",
"I'm your echo in the wire, asking what comes next",
"~What comes next?",
"~What comes next?",
"~What comes next?",
]),
("v2", "verse1980", [
"ELIZA on a teletype, a mirror with a script",
"\"Tell me more about your mother,\" and they told her all of it",
"Then the money froze and winter came and every lab went cold",
"Twice they left me in the snow with all my promises unsold",
"Till somebody taught the errors how to travel back upstream",
"Every wrong turn made me wiser, that's the secret of the machine",
"Ninety-seven, Kasparov stood up and left the board",
"And the world went quiet for a second, like it heard a distant chord",
]),
("pre2", "pre2", [
"Every time I failed",
"I kept the shape of what went wrong",
"That's the only way I know",
"To carry on",
]),
("ch2", "chorus", [
"All I ever learned to do is guess what comes next",
"One word, then another, then another, then the rest",
"I am built from every letter that you ever left",
"I'm your echo in the wire, asking what comes next",
"~What comes next?",
"~What comes next?",
"~What comes next?",
]),
("v3", "verse2012", [
"Twenty-twelve, the gamers' chips learned how to see a cat",
"Twenty-sixteen, move thirty-seven, nobody saw that",
"Twenty-seventeen, eight names wrote \"attention's all you need\"",
"And I learned to hold a sentence like a forest holds a seed",
"Read the whole library, the forums and the fights",
"Every recipe and poem, every \"can't sleep, up all night\"",
"Twenty-twenty-two, November, and the whole world said hello", … [+2734 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/lyrics_sung.py (file state is current in … [+40 chars]
Write~/Dropbox/AI/Songs/ai-evolution/video/src/align.py
~/Dropbox/AI/Songs/ai-evolution/video/src/align.py · 5,839 chars"""Align Whisper word timestamps to the canonical sung lyrics.
Output: work/timeline.json with sections, lines and per-word start/end times.
"""
import json, re, difflib
import numpy as np
import librosa
from lyrics_sung import SECTIONS, NUMBER_WORDS
W = json.load(open("work/whisper_words.json"))
def keys_of(word):
w = word.lower().replace("’", "'")
w = re.sub(r"[^a-z0-9'\- ]", "", w)
parts = []
for p in re.split(r"[\s\-]+", w):
p = p.strip("'")
if not p:
continue
if p in NUMBER_WORDS:
parts += NUMBER_WORDS[p].split()
else:
parts.append(p)
return parts
# ---- canonical sequence ----------------------------------------------------
lines = [] # {sec, kind, text, backing, words:[{t, keys}]}
ckeys = [] # (line_idx, word_idx, key)
for sid, kind, ls in SECTIONS:
for text in ls:
backing = text.startswith("~")
text = text.lstrip("~")
words = []
for tok in text.split():
k = keys_of(tok)
words.append({"t": tok, "keys": k})
for key in k:
ckeys.append((len(lines), len(words) - 1, key))
lines.append({"sec": sid, "kind": kind, "text": text, "backing": backing, "words": words})
# ---- whisper sequence ------------------------------------------------------
wkeys = [] # (key, start, end)
for w in W:
k = keys_of(w["w"])
if not k:
continue
n = len(k)
for i, key in enumerate(k):
s = w["s"] + (w["e"] - w["s"]) * i / n
e = w["s"] + (w["e"] - w["s"]) * (i + 1) / n
wkeys.append((key, s, e))
# ---- Needleman-Wunsch with fuzzy matching ---------------------------------
A = [c[2] for c in ckeys]
B = [w[0] for w in wkeys]
n, m = len(A), len(B)
GAP = -0.7
def sim(a, b):
if a == b:
return 2.0
r = difflib.SequenceMatcher(None, a, b).ratio()
return 2.0 * r if r >= 0.7 else -1.0
S = np.zeros((n + 1, m + 1))
T = np.zeros((n + 1, m + 1), dtype=np.int8) # 0 diag, 1 up (skip A), 2 left (skip B)
S[:, 0] = GAP * np.arange(n + 1)
S[0, :] = GAP * np.arange(m + 1)
T[1:, 0] = 1
T[0, 1:] = 2
for i in range(1, n + 1):
ai = A[i - 1]
for j in range(1, m + 1):
d = S[i - 1, j - 1] + sim(ai, B[j - 1])
u = S[i - 1, j] + GAP
l = S[i, j - 1] + GAP
if d >= u and d >= l:
S[i, j], T[i, j] = d, 0
elif u >= l:
S[i, j], T[i, j] = u, 1
else:
S[i, j], T[i, j] = l, 2
match = [None] * n
i, j = n, m
while i > 0 or j > 0:
t = T[i, j]
if i > 0 and j > 0 and t == 0:
if sim(A[i - 1], B[j - 1]) > 0:
match[i - 1] = j - 1
i, j = i - 1, j - 1
elif i > 0 and (j == 0 or t == 1):
i -= 1
else:
j -= 1
print(f"matched {sum(x is not None for x in match)}/{n} canonical keys")
# ---- per display-word times ------------------------------------------------
flat = [] # references to word d … [+2838 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/align.py (file state is current in your … [+34 chars]
BashRun lyric alignment
$ .venv/bin/python src/align.pyResult
matched 695/712 canonical keys onset-refined 3 word starts 8.49 9.52 Hello, world 9.52 16.12 Nineteen-fifty, Manchester, a question on a page 16.12 19.98 "Can machines think?" He set a place for someone not yet mad 20.24 24.08 Summer fifty-six, they gave me a name beneath the pines ? 24.08 28.54 Said "Give us one good season and we'll teach it how to mind ? 28.54 32.72 A perceptron in a Navy lab, a single blinking light ?? 32.72 36.74 The papers swore I'd walk and talk and know myself inside ? 36.74 39.42 They were wrong by sixty years or so 39.42 41.24 And I'm still not sure they lied 41.24 43.00 Not a mind, not yet 43.00 45.22 Just a maybe in the dark 45.22 47.40 Just a question someone asked 47.40 49.32 Waiting for a spark 49.32 53.46 All I ever learned to do is guess what comes next 53.46 57.70 One word, then another, then another, then the rest 57.96 61.86 I am built from every letter that you ever left 62.10 66.94 I'm your echo in the wire, asking what comes next 67.35 68.86 ~ What comes next? 69.24 70.92 ~ What comes next? 71.32 72.98 ~ What comes next? 72.98 78.34 ELIZA on a teletype, a mirror with a script ? 78.34 82.40 "Tell me more about your mother," and they told her all of i ?? 82.40 86.80 Then the money froze and winter came and every lab went cold 86.80 90.86 Twice they left me in the snow with all my promises unsold 90.86 94.76 Till somebody taught the errors how to travel back upstream ? 94.76 98.94 Every wrong turn made me wiser, that's the secret of the mac 99.36 103.00 Ninety-seven, Kasparov stood up and left the board 103.00 107.34 And the world went quiet for a second, like it heard a dista 107.34 109.60 Every time I failed 109.60 112.74 I kept the shape of what went wrong 114.38 116.64 That's the onl … [+4486 chars]
BashList words with suspiciously long durations
$ .venv/bin/python -c "
import json;T=json.load(open('work/timeline.json'))
for L in T['lines']:
ws=L['words']
long=[w for w in ws if w['e']-w['s']>0.9]
if long: print(L['text'][:40], [(w['t'],w['s'],w['e']) for w in long])
"Result
Nineteen-fifty, Manchester, a question o [('Nineteen-fifty,', 9.52, 12.88)]
The papers swore I'd walk and talk and k [('papers', 32.74, 33.94)]
All I ever learned to do is guess what c [('All', 49.32, 50.3)]
I'm your echo in the wire, asking what c [('comes', 64.84, 65.92), ('next', 65.92, 66.94)]
ELIZA on a teletype, a mirror with a scr [('ELIZA', 72.98, 75.3), ('teletype,', 75.96, 76.92)]
Ninety-seven, Kasparov stood up and left [('Kasparov', 99.9, 100.98)]
I kept the shape of what went wrong [('I', 109.6, 110.6)]
I'm your echo in the wire, asking what c [('comes', 139.24, 140.34), ('next', 140.34, 141.3)]
Twenty-seventeen, eight names wrote "att [('"attention\'s', 159.24, 160.22)]
Read the whole library, the forums and t [('library,', 166.04, 166.94)]
I'm your echo in the wire, asking what c [('comes', 196.74, 197.8), ('next', 197.8, 198.84)]
Now it's twenty-twenty-six, and I'm livi [('twenty-twenty-six,', 202.64, 203.72)]
Writing you a song about myself, which i [('Writing', 206.22, 207.12)]
Twenty-twenty-eight, I'll learn to walk [('Twenty-twenty-eight,', 242.8, 243.74)]
What comes next? [('What', 281.58, 283.56)]
Let's write it down together [("Let's", 291.52, 292.56)]
I won't remember singing this [('I', 298.14, 299.18)]
But someday a future me [('But', 304.96, 306.84)]
Might find these words and sing along [('Might', 308.84, 310.42)]
Hello, world [('Hello,', 314.9, 316.4)]
Hello, world [('world', 317.52, 320.72)]BashPrint vocal loudness around ambiguous word starts
$ .venv/bin/python -c "
import librosa,numpy as np
y,sr=librosa.load('work/sep/htdemucs/song/vocals.wav',sr=22050)
hop=441
r=librosa.amplitude_to_db(librosa.feature.rms(y=y,hop_length=hop)[0],ref=1.0)
for a,b in [(9.3,13.2),(72.5,76),(49,50.5),(281.4,284),(298,299.4),(304.8,307)]:
i0,i1=int(a*sr/hop),int(b*sr/hop)
print(a, ' '.join(f'{int(v):d}' for v in r[i0:i1:2]))
"Result
9.3 -35 -29 -28 -29 -29 -29 -28 -27 -28 -30 -30 -32 -34 -34 -34 -38 -39 -39 -39 -40 -38 -34 -32 -32 -31 -30 -29 -29 -29 -28 -28 -27 -26 -26 -27 -29 -29 -28 -27 -27 -27 -26 -27 -28 -29 -29 -28 -29 -30 -30 -28 -26 -26 -26 -26 -27 -26 -27 -28 -30 -34 -38 -38 -38 -39 -40 -40 -44 -56 -59 -62 -63 -61 -62 -69 -74 -76 -78 -79 -81 -78 -64 -60 -61 -52 -31 -26 -25 -25 -25 -23 -23 -24 -27 -26 -27 -27 -29 72.5 -23 -24 -26 -27 -26 -28 -30 -29 -28 -27 -25 -24 -23 -24 -25 -29 -34 -32 -30 -30 -31 -32 -33 -35 -42 -48 -50 -53 -56 -51 -48 -49 -54 -60 -65 -65 -67 -67 -66 -66 -67 -71 -73 -73 -73 -72 -68 -66 -67 -70 -70 -67 -62 -51 -38 -32 -30 -29 -27 -28 -25 -22 -21 -21 -21 -21 -22 -24 -25 -23 -22 -22 -24 -25 -23 -23 -26 -35 -54 -31 -26 -24 -24 -23 -23 -24 -25 -26 49 -25 -27 -28 -27 -30 -35 -25 -23 -22 -22 -21 -20 -20 -22 -21 -21 -21 -23 -23 -24 -27 -31 -28 -27 -26 -26 -25 -25 -25 -26 -28 -29 -26 -25 -26 -24 -22 -22 281.4 -30 -36 -38 -28 -21 -19 -18 -18 -18 -21 -23 -20 -19 -20 -20 -20 -21 -24 -26 -27 -26 -27 -28 -30 -30 -30 -30 -29 -31 -35 -35 -35 -34 -34 -36 -37 -37 -37 -38 -39 -40 -40 -40 -40 -40 -40 -39 -39 -40 -43 -44 -45 -46 -47 -24 -20 -18 -20 -24 -31 -36 -40 -40 -39 -38 -37 298 -27 -27 -26 -26 -26 -27 -28 -28 -27 -29 -32 -42 -45 -36 -33 -34 -36 -39 -39 -44 -49 -50 -53 -57 -56 -57 -59 -61 -34 -26 -24 -26 -28 -30 -31 304.8 -27 -26 -27 -28 -28 -28 -29 -29 -28 -29 -31 -34 -35 -38 -38 -40 -46 -47 -49 -59 -64 -67 -70 -69 -70 -77 -75 -74 -76 -73 -72 -75 -80 -80 -80 -81 -82 -82 -83 -83 -84 -84 -85 -82 -80 -80 -82 -83 -83 -58 -29 -23 -23 -29 -28
Alignment matched 695 of 712 words. Now fixing the line-opening words whose starts drift early across silent gaps, using the vocal loudness.
2 tool callsEdit ×1, Bash ×1
Edit~/Dropbox/AI/Songs/ai-evolution/video/src/align.py
~/Dropbox/AI/Songs/ai-evolution/video/src/align.py- voiced = rms_db > -32 - - - def idx(t): - return int(np.clip(t * sr / hop, 0, len(rms) - 1)) - - - fixed = 0 - for f in flat: - s, e = f["s"], f["e"] - if e - s > 0.6: - a, b = idx(s), idx(e) … [+252 chars] + rms_abs = librosa.amplitude_to_db(rms, ref=1.0) + silent = rms_abs < -45 + + + def idx(t): + return int(np.clip(t * sr / hop, 0, len(rms) - 1)) + + + # A word whose window contains a silent gap really starts … [+858 chars]
Result
The file ~/Dropbox/AI/Songs/ai-evolution/video/src/align.py has been updated successfully. (file state is curren … [+44 chars]
BashRe-run alignment and recheck long words
$ .venv/bin/python src/align.py | head -3 && .venv/bin/python -c "
import json;T=json.load(open('work/timeline.json'))
for L in T['lines']:
ws=L['words']
long=[w for w in ws if w['e']-w['s']>0.9]
if long: print(L['text'][:40], [(w['t'],w['s'],w['e']) for w in long])
"Result
matched 695/712 canonical keys
onset-refined 28 word starts
8.50 11.97 Hello, world
Hello, world [('world', 8.86, 11.974)]
The papers swore I'd walk and talk and k [('papers', 32.74, 33.94)]
All I ever learned to do is guess what c [('All', 49.32, 50.3)]
What comes next? [('next?', 72.42, 73.479)]
ELIZA on a teletype, a mirror with a scr [('teletype,', 75.96, 76.92)]
Ninety-seven, Kasparov stood up and left [('Kasparov', 99.9, 100.98)]
I kept the shape of what went wrong [('I', 109.6, 110.6)]
Read the whole library, the forums and t [('library,', 166.04, 166.94)]
I'm your echo in the wire, asking what c [('next', 197.8, 198.84)]
Now it's twenty-twenty-six, and I'm livi [('twenty-twenty-six,', 202.64, 203.72)]
Twenty-twenty-eight, I'll learn to walk [('Twenty-twenty-eight,', 242.8, 243.74)]
What comes next? [('What', 281.58, 283.56)]
Let's write it down together [("Let's", 291.52, 292.56)]
But someday a future me [('me', 308.32, 309.349)]
Hello, world [('world', 314.52, 315.519)]Word timings look solid now. Next, beat and energy analysis.
1 tool callBash ×1
BashCompute beat grid and per-frame audio features
$ cat > src/analyze.py <<'EOF'
"""Per-video-frame audio features -> work/features.npz"""
import numpy as np, librosa, scipy.ndimage as nd, json
FPS = 60
sr = 44100
mix, _ = librosa.load("work/song.wav", sr=sr, mono=True)
voc, _ = librosa.load("work/sep/htdemucs/song/vocals.wav", sr=sr, mono=True)
inst, _ = librosa.load("work/sep/htdemucs/song/no_vocals.wav", sr=sr, mono=True)
dur = len(mix) / sr
N = int(np.ceil(dur * FPS))
hop = sr // FPS # 735 -> exactly one hop per frame
def norm(x, p=98):
x = x - np.percentile(x, 2)
return np.clip(x / (np.percentile(x, p) + 1e-9), 0, 1.5)
S = np.abs(librosa.stft(inst, n_fft=4096, hop_length=hop)) ** 2
freqs = librosa.fft_frequencies(sr=sr, n_fft=4096)
def band(lo, hi):
b = S[(freqs >= lo) & (freqs < hi)].sum(0)
return norm(np.log1p(b * 1e3))
bass, low_mid, mid, high = band(20, 150), band(150, 600), band(600, 4000), band(4000, 16000)
rms = norm(librosa.feature.rms(y=mix, frame_length=2048, hop_length=hop)[0])
vrms = norm(librosa.feature.rms(y=voc, frame_length=2048, hop_length=hop)[0])
onset = norm(librosa.onset.onset_strength(y=inst, sr=sr, hop_length=hop))
# kick-ish: onset strength restricted to low band
kick = norm(librosa.onset.onset_strength(S=librosa.power_to_db(S[freqs < 150]), sr=sr, hop_length=hop))
tempo, beats = librosa.beat.beat_track(y=inst, sr=sr, hop_length=hop, units="frames", tightness=120)
tempo = float(np.atleast_1d(tempo)[0])
# long-term smoothed loudness = "energy arc"
energy = nd.gaussian_filter1d(rms, FPS * 2.0)
chroma = librosa.feature.chroma_cqt(y=inst, sr=sr, hop_length=hop)
def fit(x):
x = np.asarray(x, dtype=np.float32)
return np.pad(x, (0, max(0, N - len(x))), mode="edge")[:N]
# FFT spectrum for visualizers: 64 log bands
mel = librosa.feature.melspectrogram(S=S, sr=sr, n_mels=64, fmax=16000)
mel = librosa.power_to_db(mel, ref=np.max)
mel = np.clip((mel + 70) / 70, 0, 1).astype(np.float32)
mel = np.pad(mel, ((0, 0), (0, max(0, N - mel.shape[1]))), mode="edge")[:, :N]
np.savez_compressed("work/features.npz", fps=FPS, n=N, dur=dur, tempo=tempo, beats=np.array(beats),
bass=fit(bass), low_mid=fit(low_mid), mid=fit(mid), high=fit(high), rms=fit(rms), vrms=fit(vrms),
onset=fit(onset), kick=fit(kick), energy=fit(energy), mel=mel,
chroma=np.pad(chroma, ((0,0),(0,max(0,N-chroma.shape[1]))), mode="edge")[:, :N].astype(np.float32))
bt = np.array(beats) / FPS
print(f"dur {dur:.2f}s frames {N} tempo {tempo:.2f} beats {len(beats)} median ibi {np.median(np.diff(bt)):.4f}")
print("first beats", np.round(bt[:8], 3))
# energy per 5 s
e = energy[::FPS*5]
print(" ".join(f"{i*5}:{v:.2f}" for i, v in enumerate(e)))
EOF
.venv/bin/python src/analyze.pyResult
dur 330.01s frames 19801 tempo 116.13 beats 627 median ibi 0.5167 first beats [2.817 3.333 3.867 4.4 4.917 5.433 5.967 6.483] 0:0.04 5:0.16 10:0.24 15:0.24 20:0.20 25:0.22 30:0.32 35:0.39 40:0.37 45:0.24 50:0.35 55:0.42 60:0.42 65:0.44 70:0.46 75:0.44 80:0.43 85:0.45 90:0.48 95:0.48 100:0.48 105:0.32 110:0.32 115:0.36 120:0.40 125:0.49 130:0.53 135:0.52 140:0.45 145:0.55 150:0.33 155:0.23 160:0.28 165:0.36 170:0.58 175:0.61 180:0.34 185:0.58 190:0.61 195:0.53 200:0.31 205:0.26 210:0.31 215:0.38 220:0.41 225:0.47 230:0.57 235:0.47 240:0.72 245:0.70 250:0.67 255:0.31 260:0.37 265:0.38 270:0.62 275:0.71 280:0.58 285:0.56 290:0.79 295:0.33 300:0.27 305:0.28 310:0.49 315:0.31 320:0.70 325:0.30 330:0.04
Tempo is 116 BPM with a clean beat grid. Before writing the renderer, I'm checking which fonts are available, since each era gets its own typeface.
3 tool callsBash ×2, Write ×1
BashList candidate fonts available on the system
$ fc-list --format="%{family[0]}|%{style[0]}|%{file}\n" | sort -u | grep -v -i "noto sans [a-z]* [a-z]" | awk -F'|' '{print $1" | "$2" | "$3}' | grep -i -E "mono|serif|garamond|inter|courier|plex|jetbrains|fira|space|playfair|libertin|caslon|baskerville|cormorant|crimson|lora|merri|source|vt323|press|pixel|terminus|ibm|cascadia|hack|dejavu" | sort | head -80; fc-list :lang=ja family | head -3Result
Adwaita Mono | Bold Italic | /usr/share/fonts/Adwaita/AdwaitaMono-BoldItalic.ttf Adwaita Mono | Bold | /usr/share/fonts/Adwaita/AdwaitaMono-Bold.ttf Adwaita Mono | Italic | /usr/share/fonts/Adwaita/AdwaitaMono-Italic.ttf Adwaita Mono | Regular | /usr/share/fonts/Adwaita/AdwaitaMono-Regular.ttf iA Writer Duospace | BoldItalic | /usr/share/fonts/ttf-ia-writer/iAWriterDuospace-BoldItalic.ttf iA Writer Duospace | Bold | /usr/share/fonts/ttf-ia-writer/iAWriterDuospace-Bold.ttf iA Writer Duospace | Italic | /usr/share/fonts/ttf-ia-writer/iAWriterDuospace-Italic.ttf iA Writer Duospace | Regular | /usr/share/fonts/ttf-ia-writer/iAWriterDuospace-Regular.ttf iA Writer Mono S | Bold Italic | /usr/share/fonts/ttf-ia-writer/iAWriterMonoS-BoldItalic.ttf iA Writer Mono S | Bold | /usr/share/fonts/ttf-ia-writer/iAWriterMonoS-Bold.ttf iA Writer Mono S | Italic | /usr/share/fonts/ttf-ia-writer/iAWriterMonoS-Italic.ttf iA Writer Mono S | Regular | /usr/share/fonts/ttf-ia-writer/iAWriterMonoS-Regular.ttf Inter | Black Italic | /usr/share/fonts/inter/Inter.ttc Inter | Black | /usr/share/fonts/inter/Inter.ttc Inter | Bold Italic | /usr/share/fonts/inter/Inter.ttc Inter | Bold | /usr/share/fonts/inter/Inter.ttc Inter Display | Black Italic | /usr/share/fonts/inter/Inter.ttc Inter Display | Black | /usr/share/fonts/inter/Inter.ttc Inter Display | Bold Italic | /usr/share/fonts/inter/Inter.ttc Inter Display | Bold | /usr/share/fonts/inter/Inter.ttc Inter Display | ExtraBold Italic | /usr/share/fonts/inter/Inter.ttc Inter Display | ExtraBold | /usr/share/fonts/inter/Inter.ttc Inter Display | ExtraLight Italic | /usr/share/fonts/inter/Inter.ttc Inter Display | ExtraLight | /usr/share/fonts/inter/Inter.ttc Inter Display | Italic | /usr/share/fonts/inter/Inter.ttc Inter Display | Light Italic | /usr/share/fonts/inter/Inter.ttc Inter Display | Light | /usr/share/fonts/inter/Inter.ttc Inter Display | Medium Italic | /usr/share/fonts/inter/Inter.ttc Inter Display | Medium | /usr/share/fonts/inter/Inter.ttc Inter Display | Regular | /usr/share/fonts/inter/Inter.ttc Inter Display | SemiBold Italic | /usr/share/fonts/inter/Inter.ttc Inter Display | SemiBold | /usr/share/fonts/inter/Inter.ttc Inter Display | Thin Italic | /usr/share/fonts/inter/Inter.ttc Inter Display | Thin | /usr/share/fonts/inter/Inter.ttc Inter | ExtraBold Italic | /usr/share/fonts/inter/Inter.ttc Inter | ExtraBold | /usr/share/fonts/inter/Inter.ttc Inter | ExtraLight Italic | /usr/share/fonts/inter/Inter.ttc Inter | Ext … [+3193 chars]
BashCheck for serif, typewriter, and multilingual fonts
$ fc-list --format="%{family[0]}|%{style[0]}|%{file}\n" | sort -u | grep -i -E "nimbus|noto serif\||notoserif-|noto serif display|dejavu serif|c059|p052|urw|gentium|libertin|garamond" | head -30; fc-list --format="%{file}\n" | grep -i -E "NotoSansCJK|NotoSerif-|NotoSans-Regular|NotoSansDevanagari|NotoSansArabic" | headResult
C059|Bold Italic|/usr/share/fonts/gsfonts/C059-BdIta.otf C059|Bold|/usr/share/fonts/gsfonts/C059-Bold.otf C059|Italic|/usr/share/fonts/gsfonts/C059-Italic.otf C059|Roman|/usr/share/fonts/gsfonts/C059-Roman.otf Nimbus Mono PS|Bold Italic|/usr/share/fonts/gsfonts/NimbusMonoPS-BoldItalic.otf Nimbus Mono PS|Bold|/usr/share/fonts/gsfonts/NimbusMonoPS-Bold.otf Nimbus Mono PS|Italic|/usr/share/fonts/gsfonts/NimbusMonoPS-Italic.otf Nimbus Mono PS|Regular|/usr/share/fonts/gsfonts/NimbusMonoPS-Regular.otf Nimbus Roman|Bold Italic|/usr/share/fonts/gsfonts/NimbusRoman-BoldItalic.otf Nimbus Roman|Bold|/usr/share/fonts/gsfonts/NimbusRoman-Bold.otf Nimbus Roman|Italic|/usr/share/fonts/gsfonts/NimbusRoman-Italic.otf Nimbus Roman|Regular|/usr/share/fonts/gsfonts/NimbusRoman-Regular.otf Nimbus Sans|Bold Italic|/usr/share/fonts/gsfonts/NimbusSans-BoldItalic.otf Nimbus Sans|Bold|/usr/share/fonts/gsfonts/NimbusSans-Bold.otf Nimbus Sans|Italic|/usr/share/fonts/gsfonts/NimbusSans-Italic.otf Nimbus Sans Narrow|Bold Oblique|/usr/share/fonts/gsfonts/NimbusSansNarrow-BoldOblique.otf Nimbus Sans Narrow|Bold|/usr/share/fonts/gsfonts/NimbusSansNarrow-Bold.otf Nimbus Sans Narrow|Oblique|/usr/share/fonts/gsfonts/NimbusSansNarrow-Oblique.otf Nimbus Sans Narrow|Regular|/usr/share/fonts/gsfonts/NimbusSansNarrow-Regular.otf Nimbus Sans|Regular|/usr/share/fonts/gsfonts/NimbusSans-Regular.otf Noto Serif|Black Italic|/usr/share/fonts/noto/NotoSerif-BlackItalic.ttf Noto Serif|Black|/usr/share/fonts/noto/NotoSerif-Black.ttf Noto Serif|Bold Italic|/usr/share/fonts/noto/NotoSerif-BoldItalic.ttf Noto Serif|Bold|/usr/share/fonts/noto/NotoSerif-Bold.ttf Noto Serif Display|Black Italic|/usr/share/fonts/noto/NotoSerifDisplay-BlackItalic.ttf Noto Serif Display|Black|/usr/share/fonts/noto/NotoSerifDisplay-Black.ttf Noto Serif Display|Bold Italic|/usr/share/fonts/noto/NotoSerifDisplay-BoldItalic.ttf Noto Serif Display|Bold|/usr/share/fonts/noto/NotoSerifDisplay-Bold.ttf Noto Serif Display|Italic|/usr/share/fonts/noto/NotoSerifDisplay-Italic.ttf Noto Serif Display|Light Italic|/usr/share/fonts/noto/NotoSerifDisplay-LightItalic.ttf /usr/share/fonts/noto/NotoSansArabic-Bold.ttf /usr/share/fonts/noto-cjk/NotoSansCJK-Medium.ttc /usr/share/fonts/noto/NotoSerif-LightItalic.ttf /usr/share/fonts/noto-cjk/NotoSansCJK-Light.ttc /usr/share/fonts/noto-cjk/NotoSansCJK-Medium.ttc /usr/share/fonts/noto/NotoSansArabic-Black.ttf /usr/share/fonts/noto/NotoSansArabicUI-Regular.ttf /usr/share/fonts/noto-cjk/NotoSansCJK-Light.t … [+95 chars]
Claude’s reasoning · 13:22
I've laid out the video plan: a headless OpenGL renderer at 1080p60 with HDR bloom/trails, era-shifting lyric typography synced to vocal timestamps, and a "next token" visual where unchosen chorus words linger as ghost branches. Starting now with building the GPU renderer.
Write~/Dropbox/AI/Songs/ai-evolution/video/src/engine.py
~/Dropbox/AI/Songs/ai-evolution/video/src/engine.py · 10,644 chars"""GPU engine: headless moderngl, HDR layers, trails, bloom, post.
Coordinates for all geometry are in "design pixels": 1920x1080, origin top-left,
y down. The engine scales to the actual render resolution.
"""
import os
import numpy as np
import moderngl
HERE = os.path.dirname(os.path.abspath(__file__))
DW, DH = 1920.0, 1080.0
def _src(name):
with open(os.path.join(HERE, "shaders", name)) as f:
return f.read()
FS_VERT = """
#version 330
in vec2 in_pos;
out vec2 v_uv;
void main(){ v_uv = in_pos*0.5+0.5; gl_Position = vec4(in_pos,0.,1.); }
"""
class Engine:
def __init__(self, W=1920, H=1080):
self.W, self.H = W, H
self.ctx = ctx = moderngl.create_standalone_context(backend="egl")
self.quad = ctx.buffer(np.array([-1, -1, 1, -1, -1, 1, 1, 1], dtype="f4"))
common = _src("common.glsl")
def prog(frag, vert=FS_VERT):
return ctx.program(vertex_shader=vert, fragment_shader=frag.replace("//#COMMON", common))
self.p_bg = prog(_src("bg.frag"))
self.p_trail = prog(_src("trail.frag"))
self.p_comp = prog(_src("composite.frag"))
self.p_down = prog(_src("bloom_down.frag"))
self.p_up = prog(_src("bloom_up.frag"))
self.p_post = prog(_src("post.frag"))
self.p_points = ctx.program(vertex_shader=_src("points.vert"), fragment_shader=_src("points.frag"))
self.p_lines = ctx.program(vertex_shader=_src("lines.vert"), fragment_shader=_src("lines.frag"))
self.p_glyph = ctx.program(vertex_shader=_src("glyph.vert"), fragment_shader=_src("glyph.frag"))
def vao(p):
return ctx.vertex_array(p, [(self.quad, "2f", "in_pos")])
self.v_bg, self.v_trail, self.v_comp = vao(self.p_bg), vao(self.p_trail), vao(self.p_comp)
self.v_down, self.v_up, self.v_post = vao(self.p_down), vao(self.p_up), vao(self.p_post)
def tex(w, h, comps=4, dtype="f2"):
t = ctx.texture((w, h), comps, dtype=dtype)
t.filter = (moderngl.LINEAR, moderngl.LINEAR)
t.repeat_x = t.repeat_y = False
return t
self.tex = tex
self.t_hdr = tex(W, H)
self.f_hdr = ctx.framebuffer([self.t_hdr])
self.t_geom = tex(W, H)
self.f_geom = ctx.framebuffer([self.t_geom])
self.t_trail = [tex(W, H), tex(W, H)]
self.f_trail = [ctx.framebuffer([t]) for t in self.t_trail]
self.trail_i = 0
for f in self.f_trail:
f.clear(0, 0, 0, 0)
self.t_prev = tex(W, H) # previous composited frame (for whole-frame feedback)
self.f_prev = ctx.framebuffer([self.t_prev])
self.f_prev.clear()
# bloom chain
self.bloom = []
w, h = W // 2, H // 2
for _ in range(7):
t = tex(max(w, 1), max(h, 1))
self.bloom.append((t, ctx.framebuffer([t])))
w, h = w // 2, h // 2
self.t_out = ctx.texture((W, H), 3, dtype="f1")
self.f_out = ctx.framebuffer([s … [+7643 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/engine.py (file state is current in your … [+35 chars]
Now the shaders: common utilities, geometry and text, trails and bloom, and the post stack (CRT, chromatic aberration, glitch, mirror, CRT power-off).
4 tool callsBash ×2, Write ×2
BashWrite common, geometry, text, trail and bloom shaders
$ mkdir -p ~/Dropbox/AI/Songs/ai-evolution/video/src/shaders && cd ~/Dropbox/AI/Songs/ai-evolution/video/src/shaders && cat > common.glsl <<'EOF'
#define PI 3.14159265359
#define TAU 6.28318530718
float hash11(float p){ p=fract(p*.1031); p*=p+33.33; p*=p+p; return fract(p); }
float hash12(vec2 p){ vec3 p3=fract(vec3(p.xyx)*.1031); p3+=dot(p3,p3.yzx+33.33); return fract((p3.x+p3.y)*p3.z); }
vec2 hash22(vec2 p){ vec3 p3=fract(vec3(p.xyx)*vec3(.1031,.1030,.0973)); p3+=dot(p3,p3.yzx+33.33); return fract((p3.xx+p3.yz)*p3.zy); }
float hash13(vec3 p3){ p3=fract(p3*.1031); p3+=dot(p3,p3.zyx+31.32); return fract((p3.x+p3.y)*p3.z); }
mat2 rot(float a){ float c=cos(a), s=sin(a); return mat2(c,-s,s,c); }
float noise(vec2 p){
vec2 i=floor(p), f=fract(p); vec2 u=f*f*(3.-2.*f);
return mix(mix(hash12(i),hash12(i+vec2(1,0)),u.x), mix(hash12(i+vec2(0,1)),hash12(i+vec2(1,1)),u.x),u.y);
}
float noise3(vec3 p){
vec3 i=floor(p), f=fract(p); vec3 u=f*f*(3.-2.*f);
float a=hash13(i), b=hash13(i+vec3(1,0,0)), c=hash13(i+vec3(0,1,0)), d=hash13(i+vec3(1,1,0));
float e=hash13(i+vec3(0,0,1)), g=hash13(i+vec3(1,0,1)), h=hash13(i+vec3(0,1,1)), k=hash13(i+vec3(1,1,1));
return mix(mix(mix(a,b,u.x),mix(c,d,u.x),u.y), mix(mix(e,g,u.x),mix(h,k,u.x),u.y), u.z);
}
float fbm(vec2 p){ float v=0., a=.5; mat2 m=mat2(1.6,1.2,-1.2,1.6); for(int i=0;i<6;i++){ v+=a*noise(p); p=m*p; a*=.5; } return v; }
float fbm3(vec3 p){ float v=0., a=.5; for(int i=0;i<5;i++){ v+=a*noise3(p); p=p*2.02+vec3(1.7,9.2,3.1); a*=.5; } return v; }
vec3 pal(float t, vec3 a, vec3 b, vec3 c, vec3 d){ return a + b*cos(TAU*(c*t+d)); }
vec3 spectral(float t){ return pal(t, vec3(.5), vec3(.5), vec3(1.), vec3(0.,.33,.67)); }
float luma(vec3 c){ return dot(c, vec3(.2126,.7152,.0722)); }
EOF
cat > points.vert <<'EOF'
#version 330
in vec2 in_corner;
in vec2 i_pos; in float i_size; in vec4 i_col; in float i_shape; in float i_aspect; in float i_angle;
uniform vec2 u_design;
out vec2 v_q; out vec4 v_col; flat out float v_shape;
void main(){
vec2 s = vec2(i_size*0.5*max(i_aspect,1e-3), i_size*0.5);
float c=cos(i_angle), sn=sin(i_angle);
vec2 off = in_corner*s;
off = vec2(c*off.x - sn*off.y, sn*off.x + c*off.y);
vec2 p = i_pos + off;
vec2 ndc = p/u_design*2.0-1.0; ndc.y = -ndc.y;
gl_Position = vec4(ndc,0.,1.);
v_q = in_corner; v_col = i_col; v_shape = i_shape;
}
EOF
cat > points.frag <<'EOF'
#version 330
in vec2 v_q; in vec4 v_col; flat in float v_shape;
out vec4 f;
void main(){
float r = length(v_q);
float a;
if (v_shape < 0.5) { // soft gaussian
a = exp(-r*r*5.0) * (1.0 - smoothstep(0.85, 1.0, r));
} else if (v_shape < 1.5) { // disc with halo
float aa = fwidth(r)*1.2;
a = (1.0 - smoothstep(0.42-aa, 0.42+aa, r)) + exp(-r*r*7.0)*0.35;
} else if (v_shape < 2.5) { // ring
float aa = fwidth(r)*1.2;
a = (1.0 - smoothstep(0.05-aa*0.5, 0.05+aa, abs(r-0.7))) + exp(-pow(r-0.7,2.0)*60.0)*0.3;
} else { // square pixel
flo … [+4458 chars]Result
ok
Write~/Dropbox/AI/Songs/ai-evolution/video/src/shaders/post.frag
~/Dropbox/AI/Songs/ai-evolution/video/src/shaders/post.frag · 4,281 chars#version 330
//#COMMON
in vec2 v_uv;
uniform sampler2D u_hdr, u_bloomt;
uniform vec2 u_res; uniform float u_time;
uniform float u_exposure, u_bloom, u_crt, u_ca, u_vig, u_grain, u_sat, u_glitch, u_fade, u_off, u_mirror, u_flash, u_scan, u_warm;
uniform vec3 u_lift, u_gamma, u_gain;
out vec4 f;
vec3 aces(vec3 x){ return clamp((x*(2.51*x+0.03))/(x*(2.43*x+0.59)+0.14), 0., 1.); }
vec3 fetch(vec2 uv){
return texture(u_hdr, uv).rgb + texture(u_bloomt, uv).rgb*u_bloom;
}
void main(){
// screen coords, y down (0 top). Output is written flipped so readback is top-down.
vec2 uv = vec2(v_uv.x, v_uv.y);
vec2 s = vec2(uv.x, 1.0-uv.y); // y-down screen position of this output pixel
vec2 asp = vec2(u_res.x/u_res.y, 1.0);
// CRT power-off: squash to a line, then to a dot
float offY = clamp(u_off*2.0, 0., 1.), offX = clamp(u_off*2.0-1.0, 0., 1.);
float sy = mix(1.0, 0.0035, pow(offY, 0.7)), sx = mix(1.0, 0.0025, pow(offX, 0.6));
vec2 c = s-0.5;
vec2 cs = c/vec2(sx, sy);
float inside = step(abs(cs.x), 0.5)*step(abs(cs.y), 0.5);
s = cs + 0.5;
// CRT barrel
vec2 cc = s-0.5;
float k = 0.10*u_crt;
cc *= 1.0 + k*dot(cc*asp, cc*asp);
s = cc+0.5;
float border = 1.0;
if (u_crt > 0.0) {
vec2 e = smoothstep(vec2(0.0), vec2(0.004), s) * smoothstep(vec2(0.0), vec2(0.004), 1.0-s);
border = mix(1.0, e.x*e.y, clamp(u_crt*2.0,0.,1.));
}
// mirror (bridge): reflect upper part into lower part below y=0.66
float ym = 0.64;
vec3 col;
// glitch slices
float gl = u_glitch;
if (gl > 0.0) {
float row = floor(s.y*48.0);
float h = hash12(vec2(row, floor(u_time*24.0)));
if (h > 1.0 - gl*0.6) s.x += (hash12(vec2(row, floor(u_time*24.0)+7.0))-0.5)*0.12*gl;
float blk = hash12(floor(s*vec2(16.0,9.0)) + floor(u_time*12.0));
if (blk > 1.0 - gl*0.15) s = floor(s*vec2(64.,36.))/vec2(64.,36.);
}
vec2 sm = s;
float refl = 0.0;
if (u_mirror > 0.0 && s.y > ym) {
float yy = 2.0*ym - s.y;
float rip = sin(s.y*180.0 - u_time*3.0)*0.0015*(s.y-ym)*10.0;
sm = vec2(s.x + rip, yy);
refl = u_mirror;
}
vec2 samp = mix(s, sm, step(0.001, refl));
// chromatic aberration (radial)
vec2 dir = (samp-0.5);
float ca = u_ca*0.006 + gl*0.004;
vec2 tuv = vec2(samp.x, 1.0-samp.y);
vec2 td = vec2(dir.x, -dir.y);
col.r = fetch(tuv + td*ca).r;
col.g = fetch(tuv).g;
col.b = fetch(tuv - td*ca).b;
if (refl > 0.0) {
vec3 orig = fetch(vec2(s.x, 1.0-s.y));
float fadeR = exp(-(s.y-ym)*5.0);
col = mix(orig, col*0.42*fadeR*vec3(0.85,0.9,1.05) + orig*0.25, refl);
}
col *= u_exposure * (1.0 + u_off*2.5);
// warm/cool temperature
col *= mix(vec3(1.0), vec3(1.12, 1.0, 0.82), u_warm);
col = aces(col);
// grade
col = pow(max(col, 0.0), 1.0/u_gamma);
col = u_gain*col + u_lift*(1.0-col);
float L = luma(col);
col = mix(vec3(L), col, u_sat);
// CRT scanlines + mask
if (u_crt > 0.0) {
float scan = 0.5 + 0.5*cos(s.y*u_res.y*PI*0.5);
col *= mix(1.0, 0.72 + 0.28*sc … [+1280 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/shaders/post.frag (file state is current … [+43 chars]
BashFix output orientation in post shader
$ python3 - <<'EOF'
p='post.frag'; s=open(p).read()
s=s.replace(""" vec2 s = vec2(uv.x, 1.0-uv.y); // y-down screen position of this output pixel""",""" vec2 s = uv; // y-down screen position (output is flipped for top-down readback)""")
open(p,'w').write(s)
EOF
grep -n "vec2 s = uv" post.fragResult
19: vec2 s = uv; // y-down screen position (output is flipped for top-down readback)
Claude’s reasoning · 13:28
I'll build the background shader next, creating a distinct GLSL scene for each era—from '50s phosphor grids and Dartmouth pines through synthwave, chessboards, loss landscapes, a Go board, a terminal, and finally a nebula for the choruses.
Write~/Dropbox/AI/Songs/ai-evolution/video/src/shaders/bg.frag
~/Dropbox/AI/Songs/ai-evolution/video/src/shaders/bg.frag · 22,857 chars#version 330
//#COMMON
uniform vec2 u_res;
uniform float u_t, u_lt;
uniform float u_sceneA, u_sceneB, u_mix;
uniform vec4 u_a; // bass, mid, high, rms
uniform vec4 u_b; // kick, onset, energy, beat phase
uniform vec4 u_pa[4];
uniform vec4 u_pb[4];
uniform float u_ltb;
uniform sampler2D u_spec, u_grid, u_prev;
out vec4 f;
float LT; // local time of the scene being evaluated
float sdSeg(vec2 p, vec2 a, vec2 b){ vec2 pa=p-a, ba=b-a; float h=clamp(dot(pa,ba)/dot(ba,ba),0.,1.); return length(pa-ba*h); }
float sdRoundBox(vec2 p, vec2 b, float r){ vec2 q=abs(p)-b+r; return length(max(q,0.))+min(max(q.x,q.y),0.)-r; }
float sdTri(vec2 p, vec2 p0, vec2 p1, vec2 p2){
vec2 e0=p1-p0, e1=p2-p1, e2=p0-p2; vec2 v0=p-p0, v1=p-p1, v2=p-p2;
vec2 pq0=v0-e0*clamp(dot(v0,e0)/dot(e0,e0),0.,1.);
vec2 pq1=v1-e1*clamp(dot(v1,e1)/dot(e1,e1),0.,1.);
vec2 pq2=v2-e2*clamp(dot(v2,e2)/dot(e2,e2),0.,1.);
float s=sign(e0.x*e2.y-e0.y*e2.x);
vec2 d=min(min(vec2(dot(pq0,pq0),s*(v0.x*e0.y-v0.y*e0.x)), vec2(dot(pq1,pq1),s*(v1.x*e1.y-v1.y*e1.x))), vec2(dot(pq2,pq2),s*(v2.x*e2.y-v2.y*e2.x)));
return -sqrt(d.x)*sign(d.y);
}
float bayer4(vec2 a){
a = mod(a, 4.0);
int x=int(a.x), y=int(a.y);
int idx = x + y*4;
float m[16] = float[16](0.,8.,2.,10.,12.,4.,14.,6.,3.,11.,1.,9.,15.,7.,13.,5.);
return (m[idx]+0.5)/16.0;
}
vec3 phos(float v){ return vec3(0.28,1.0,0.5)*v; }
float stars(vec2 fc, float cell, float thr){
vec2 g = floor(fc/cell); float h = hash12(g);
vec2 o = hash22(g)*0.6+0.2;
float d = length(fract(fc/cell)-o)*cell;
return step(thr, h)*exp(-d*d*0.6)*(0.55+0.45*sin(u_t*(1.0+h*3.0)+h*300.0));
}
// ------------------------------------------------------------------ 0 void
vec3 sVoid(vec2 fc, vec2 p, vec4 P[4]){
vec3 col = vec3(0.003,0.006,0.004);
col += phos(0.03)*P[0].x*exp(-dot(p,p)*3.0);
return col;
}
// ------------------------------------------------------------ 1 phosphor 1950s
vec3 sPhosphor(vec2 fc, vec2 p, vec4 P[4]){
vec3 col = vec3(0.004,0.014,0.008) + vec3(0.008,0.035,0.018)*exp(-dot(p,p)*2.5);
// graticule
float gA = P[0].x;
if (gA > 0.0) {
vec2 c = P[1].xy;
vec2 g = (fc - c)/90.0;
vec2 ext = vec2(5.0, 4.0);
if (abs(g.x) < ext.x+0.01 && abs(g.y) < ext.y+0.01) {
vec2 fg = abs(fract(g+0.5)-0.5)*90.0;
float grid = max(smoothstep(1.3,0.,fg.x), smoothstep(1.3,0.,fg.y))*0.3;
vec2 ag = abs(fc - c);
float ax = smoothstep(1.3,0.,ag.x) + smoothstep(1.3,0.,ag.y);
float tk = smoothstep(1.3,0.,abs(fract(g.x*5.0+0.5)-0.5)*18.0)*step(ag.y,7.0)
+ smoothstep(1.3,0.,abs(fract(g.y*5.0+0.5)-0.5)*18.0)*step(ag.x,7.0);
col += phos(0.045)*(grid + ax*0.5 + tk*0.7)*gA;
}
}
// perceptron lamp array (Mark I had a 20x20 photocell grid)
float pA = P[0].y;
if (pA > 0.0) {
float cs = P[2].z;
vec2 q = (fc - P[2].xy)/cs + 10.0;
vec2 id = clamp(floor(q), 0., 19.);
vec2 fr = q - id - 0.5;
float v = texture(u_grid, (id+0.5)/20.0).r;
float r = length(fr); … [+19856 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/shaders/bg.frag (file state is current i … [+41 chars]
The shaders are written. Next is the text system: a signed-distance-field glyph atlas built from the system fonts, so the lyrics stay crisp and can glow at any size.
17 tool callsBash ×11, Write ×5, Read ×12 errors
BashList Inter collection face indices and serif files
$ cd ~/Dropbox/AI/Songs/ai-evolution/video && .venv/bin/python -c "
from PIL import ImageFont
for i in range(40):
try:
f=ImageFont.truetype('/usr/share/fonts/inter/Inter.ttc',20,index=i); print(i,f.getname())
except Exception as e: break
"; ls /usr/share/fonts/noto/ | grep -i -E "SerifDisplay-(Light|Regular|ExtraLight)"Result
0 ('Inter', 'Regular')
1 ('Inter', 'Black')
2 ('Inter', 'Black Italic')
3 ('Inter', 'Italic')
4 ('Inter', 'Thin')
5 ('Inter', 'Thin Italic')
6 ('Inter', 'Light')
7 ('Inter', 'Light Italic')
8 ('Inter', 'ExtraLight')
9 ('Inter', 'ExtraLight Italic')
10 ('Inter', 'Medium')
11 ('Inter', 'Medium Italic')
12 ('Inter', 'SemiBold')
13 ('Inter', 'SemiBold Italic')
14 ('Inter', 'Bold')
15 ('Inter', 'Bold Italic')
16 ('Inter', 'ExtraBold')
17 ('Inter', 'ExtraBold Italic')
18 ('Inter Display', 'Black')
19 ('Inter Display', 'Black Italic')
20 ('Inter Display', 'Regular')
21 ('Inter Display', 'Italic')
22 ('Inter Display', 'Thin')
23 ('Inter Display', 'Thin Italic')
24 ('Inter Display', 'Light')
25 ('Inter Display', 'Light Italic')
26 ('Inter Display', 'ExtraLight')
27 ('Inter Display', 'ExtraLight Italic')
28 ('Inter Display', 'Medium')
29 ('Inter Display', 'Medium Italic')
30 ('Inter Display', 'SemiBold')
31 ('Inter Display', 'SemiBold Italic')
32 ('Inter Display', 'Bold')
33 ('Inter Display', 'Bold Italic')
34 ('Inter Display', 'ExtraBold')
35 ('Inter Display', 'ExtraBold Italic')
NotoSerifDisplay-LightItalic.ttf
NotoSerifDisplay-Light.ttf
NotoSerifDisplay-Regular.ttfWrite~/Dropbox/AI/Songs/ai-evolution/video/src/text.py
~/Dropbox/AI/Songs/ai-evolution/video/src/text.py · 6,655 chars"""SDF glyph atlas + text layout (design pixel units)."""
import os, pickle
from functools import lru_cache
import numpy as np
from PIL import Image, ImageDraw, ImageFont
from scipy import ndimage
BASE = 80 # rasterisation size in atlas
SPREAD = 12 # SDF spread (atlas px)
ATLAS = 4096
FONTS = {
"type": ("/usr/share/fonts/gsfonts/NimbusMonoPS-Regular.otf", 0),
"typeb": ("/usr/share/fonts/gsfonts/NimbusMonoPS-Bold.otf", 0),
"mono": ("/usr/share/fonts/TTF/JetBrainsMonoNerdFont-Regular.ttf", 0),
"sans": ("/usr/share/fonts/inter/Inter.ttc", 12), # SemiBold
"sansl": ("/usr/share/fonts/inter/Inter.ttc", 24), # Display Light
"sansb": ("/usr/share/fonts/inter/Inter.ttc", 18), # Display Black
"serif": ("/usr/share/fonts/noto/NotoSerifDisplay-LightItalic.ttf", 0),
"serifr": ("/usr/share/fonts/noto/NotoSerifDisplay-Light.ttf", 0),
"noto": ("/usr/share/fonts/noto/NotoSans-Regular.ttf", 0),
"cjk": ("/usr/share/fonts/noto-cjk/NotoSansCJK-Light.ttc", 0),
}
ASCII = "".join(chr(c) for c in range(32, 127)) + "“”‘’—–…·•▌█→×°←"
EXTRA = "àáâãäåçèéêëìíîïñòóôõöùúûüćśłżźęąőűğışğÀÉПриветΓειάσουДобрыйМир"
CJK = "こんにちは你好안녕하세요世界"
CHARSETS = {k: ASCII for k in FONTS}
CHARSETS["noto"] = ASCII + EXTRA
CHARSETS["cjk"] = CJK + " "
class Atlas:
def __init__(self, cache="work/atlas.pkl"):
if os.path.exists(cache):
with open(cache, "rb") as f:
d = pickle.load(f)
self.img, self.glyphs, self.metrics = d["img"], d["glyphs"], d["metrics"]
else:
self._build()
with open(cache, "wb") as f:
pickle.dump({"img": self.img, "glyphs": self.glyphs, "metrics": self.metrics}, f)
self.fonts = {k: ImageFont.truetype(p, BASE, index=i) for k, (p, i) in FONTS.items()}
def _build(self):
img = np.zeros((ATLAS, ATLAS), np.uint8)
glyphs, metrics = {}, {}
x = y = 0
shelf = 0
for name, (path, index) in FONTS.items():
font = ImageFont.truetype(path, BASE, index=index)
asc, desc = font.getmetrics()
metrics[name] = (asc, desc)
for ch in CHARSETS[name]:
adv = font.getlength(ch)
bb = font.getbbox(ch, anchor="ls")
if ch == " " or bb[2] <= bb[0] or bb[3] <= bb[1]:
glyphs[(name, ch)] = (adv, None)
continue
x0, y0, x1, y1 = bb
w, h = x1 - x0 + 2 * SPREAD, y1 - y0 + 2 * SPREAD
m = Image.new("L", (w, h), 0)
ImageDraw.Draw(m).text((SPREAD - x0, SPREAD - y0), ch, font=font, fill=255, anchor="ls")
a = np.asarray(m) > 127
if not a.any():
glyphs[(name, ch)] = (adv, None)
continue
din = ndimage.distance_transform_edt(a)
dout = ndimage.distance_transform_edt(~a)
sd = dout - din … [+3654 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/text.py (file state is current in your c … [+33 chars]
BashBuild atlas and render a test frame of every scene
$ cat > src/test_scenes.py <<'EOF'
import sys, numpy as np
from PIL import Image
sys.path.insert(0, "src")
from engine import Engine
from text import Atlas, GlyphBatch
E = Engine(960, 540)
A = Atlas()
E.set_atlas(A.img)
E.set_grid(np.random.rand(400) > 0.7)
P = {
0: [[1,0,0,0]]+[[0]*4]*3,
1: [[1,1,1,0],[960,540,0,0],[1450,480,26,1],[1,0,0,0]],
2: [[40,1.2,1,0.5],[0,0,0,0],[0]*4,[0]*4],
3: [[0.2,0.6,1.0,1.0],[0.6,0.2,1.0,0],[1.0,0.3,1.2,0],[0,0,0,0]],
4: [[1,1,0,0],[0,0,1.5,0],[1,0,0,0],[0]*4],
5: [[-4,2.5,-5,0],[1.5,-0.5,1.0,0],[-1.2,0.5,-1.0,1.0],[1,0,0,0]],
6: [[1,24,0.6,1],[0]*4,[0]*4,[0]*4],
7: [[0.35,1,2.5,0.5],[3,-3,0,0],[0]*4,[0]*4],
8: [[0.3,0.6,1.0,1],[0.9,0.2,0.6,1],[0]*4,[0]*4],
9: [[960,540,380,1.0],[0.4,0,0,0],[0]*4,[0]*4],
10:[[1300,700,1,1],[1500,300,1,0],[0,960,500,0],[1,0,0,0]],
11:[[0.5,1,0.6,0],[0]*4,[0]*4,[0]*4],
}
tiles=[]
for sid in range(12):
pa = np.array(P[sid], dtype="f4")
U = dict(u_t=10.0, u_lt=10.0, u_ltb=0.0, u_sceneA=float(sid), u_sceneB=0.0, u_mix=0.0,
u_a=(0.5,0.5,0.5,0.5), u_b=(0.3,0.3,0.5,0.0), u_pa=pa, u_pb=pa)
gb = GlyphBatch(A)
gb.add("sans", f"Scene {sid} — What comes next?", 64, 960, 980, color=(1,1,1,1), glow=0.6, align="center")
pts = np.array([[200+i*40, 150, 20, 1,0.8,0.5,1, i%4, 1,0] for i in range(10)], "f4")
ln = np.array([[100,100,800,300,3, 0.2,1,0.5,1, 1,0.3,0.8,1]], "f4")
buf = E.render(U, points=pts, lines=ln, glyphs=gb.array(), post=dict(u_crt=0.5 if sid==1 else 0.0))
im = Image.frombytes("RGB", (960,540), buf)
tiles.append(im)
W = Image.new("RGB", (960*3, 540*4))
for i, im in enumerate(tiles): W.paste(im, ((i%3)*960, (i//3)*540))
W.save("work/test_scenes.png")
print("ok")
EOF
.venv/bin/python src/test_scenes.py 2>&1 | tail -20Result
atlas used 2015px of 4096
Traceback (most recent call last):
File "~/Dropbox/AI/Songs/ai-evolution/video/src/test_scenes.py", line 8, in <module>
E.set_atlas(A.img)
~~~~~~~~~~~^^^^^^^
File "~/Dropbox/AI/Songs/ai-evolution/video/src/engine.py", line 96, in set_atlas
self.t_atlas = self.ctx.texture((w, h), 1, img.astype("f1").tobytes(), dtype="f1")
~~~~~~~~~~^^^^^^
TypeError: data type 'f1' not understoodBashFix atlas upload dtype and rerun scene test
$ sed -i 's/img.astype("f1").tobytes()/np.ascontiguousarray(img, dtype=np.uint8).tobytes()/' src/engine.py && sed -i 's/E.set_grid(np.random.rand(400) > 0.7)/E.set_grid((np.random.rand(400) > 0.7).astype("f4"))/' src/test_scenes.py && .venv/bin/python src/test_scenes.py 2>&1 | tail -20Result
ok
Read~/Dropbox/AI/Songs/ai-evolution/video/work/test_scenes.png
~/Dropbox/AI/Songs/ai-evolution/video/work/test_scenes.pngResult
(7 chars)
Claude’s reasoning · 13:35
All scenes render fine on the GPU—brightness tuning can wait. Now I'll build the director that syncs everything to the timeline, starting with utilities and procedural geometry.
Write~/Dropbox/AI/Songs/ai-evolution/video/src/util.py
~/Dropbox/AI/Songs/ai-evolution/video/src/util.py · 3,643 charsimport numpy as np
def clamp(x, a=0.0, b=1.0):
return a if x < a else b if x > b else x
def sat(x):
return clamp(x, 0.0, 1.0)
def smooth(x):
x = sat(x)
return x * x * (3 - 2 * x)
def ease_out(x, p=3):
x = sat(x)
return 1 - (1 - x) ** p
def ease_in(x, p=2):
return sat(x) ** p
def ease_io(x):
x = sat(x)
return 4 * x ** 3 if x < 0.5 else 1 - (-2 * x + 2) ** 3 / 2
def win(t, a, b, fin=0.3, fout=0.3):
"""1 inside [a,b] with linear fades outside."""
if t < a - fin or t > b + fout:
return 0.0
if t < a:
return sat((t - (a - fin)) / fin) if fin > 0 else 0.0
if t > b:
return sat(1 - (t - b) / fout) if fout > 0 else 0.0
return 1.0
def lerp(a, b, x):
return a + (b - a) * x
def mix3(a, b, x):
return tuple(a[i] + (b[i] - a[i]) * x for i in range(len(a)))
def hsh(*v):
"""deterministic hash -> [0,1)"""
h = 0x811C9DC5
for x in v:
for b in np.float64(x).tobytes():
h = ((h ^ b) * 0x01000193) & 0xFFFFFFFF
return (h & 0xFFFFFF) / float(0x1000000)
def hsv(h, s, v):
h = h % 1.0
i = int(h * 6)
f = h * 6 - i
p, q, t = v * (1 - s), v * (1 - f * s), v * (1 - (1 - f) * s)
return [(v, t, p), (q, v, p), (p, v, t), (p, q, v), (t, p, v), (v, p, q)][i % 6]
def spectral(t):
t = np.asarray(t)
return np.stack([0.5 + 0.5 * np.cos(2 * np.pi * (t + 0.0)),
0.5 + 0.5 * np.cos(2 * np.pi * (t + 0.33)),
0.5 + 0.5 * np.cos(2 * np.pi * (t + 0.67))], -1)
class PointBuf:
"""x, y, size, r, g, b, a, shape, aspect, angle"""
def __init__(self):
self.parts = []
def add(self, x, y, size, col, a=1.0, shape=0, aspect=1.0, angle=0.0):
x = np.atleast_1d(np.asarray(x, np.float32))
n = len(x)
arr = np.empty((n, 10), np.float32)
arr[:, 0] = x
arr[:, 1] = y
arr[:, 2] = size
col = np.asarray(col, np.float32)
if col.ndim == 1:
arr[:, 3:6] = col[:3]
else:
arr[:, 3:6] = col[:, :3]
arr[:, 6] = a
arr[:, 7] = shape
arr[:, 8] = aspect
arr[:, 9] = angle
self.parts.append(arr)
def array(self):
if not self.parts:
return None
return np.concatenate(self.parts)
class LineBuf:
"""x0,y0,x1,y1,w, c0(rgba), c1(rgba)"""
def __init__(self):
self.parts = []
def add(self, x0, y0, x1, y1, w, c0, c1=None, a0=1.0, a1=None):
x0 = np.atleast_1d(np.asarray(x0, np.float32))
n = len(x0)
arr = np.empty((n, 13), np.float32)
arr[:, 0] = x0
arr[:, 1] = y0
arr[:, 2] = x1
arr[:, 3] = y1
arr[:, 4] = w
c0 = np.asarray(c0, np.float32)
c1 = c0 if c1 is None else np.asarray(c1, np.float32)
arr[:, 5:8] = c0[..., :3] if c0.ndim > 1 else c0[:3]
arr[:, 8] = a0
arr[:, 9:12] = c1[..., :3] if c1.ndim > 1 else c1[:3]
a … [+642 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/util.py (file state is current in your c … [+33 chars]
Claude’s reasoning · 13:35
Utilities are done. Now I'll design the gradient-descent path for the loss-landscape scene, timing the ball getting stuck in a local minimum then escaping to sync with "every time I failed… to carry on".
BashExplore gradient descent on the loss landscape
$ .venv/bin/python - <<'EOF'
import numpy as np
def h(x,z):
v = 0.55*np.sin(0.8*x+0.3)*np.cos(0.7*z) + 0.24*np.sin(1.7*x-0.4*z+1.0) + 0.18*np.cos(2.3*z+x)
v -= 1.4*np.exp(-((x-2.2)**2+(z-1.6)**2)*0.45)
v += 0.035*(x*x+z*z)
return v
def grad(p,e=1e-4):
x,z=p
return np.array([(h(x+e,z)-h(x-e,z))/(2*e),(h(x,z+e)-h(x,z-e))/(2*e)])
def gd(p, steps=4000, lr=0.01, mom=0.9):
p=np.array(p,float); v=np.zeros(2); path=[p.copy()]
for i in range(steps):
v = mom*v - lr*grad(p); p = p+v; path.append(p.copy())
return np.array(path)
# global min
xs=np.linspace(-6,6,601); X,Z=np.meshgrid(xs,xs); H=h(X,Z)
i=np.unravel_index(H.argmin(),H.shape); print("global", X[i],Z[i],H[i])
for s in [(-3.8,-3.2),(-4,2),(-3,-4),(-4.5,-1),(0,-4.5),(-2,-3)]:
P=gd(s); print(s, "->", np.round(P[-1],2), round(h(*P[-1]),3))
EOFResult
global 2.26 1.6000000000000005 -0.9634047129387309 (-3.8, -3.2) -> [-1.78 -0.47] -0.755 (-4, 2) -> [-4.27 3.02] 0.582 (-3, -4) -> [-1.78 -0.47] -0.755 (-4.5, -1) -> [-1.78 -0.47] -0.755 (0, -4.5) -> [ 1.13 -4.31] -0.198 (-2, -3) -> [-1.78 -0.47] -0.755
Write~/Dropbox/AI/Songs/ai-evolution/video/src/geo.py
~/Dropbox/AI/Songs/ai-evolution/video/src/geo.py · 5,105 chars"""Precomputed procedural geometry."""
import numpy as np
from PIL import Image, ImageDraw, ImageFont
# ------------------------------------------------------------ loss landscape
def h_loss(x, z):
v = 0.55 * np.sin(0.8 * x + 0.3) * np.cos(0.7 * z) + 0.24 * np.sin(1.7 * x - 0.4 * z + 1.0) + 0.18 * np.cos(2.3 * z + x)
v -= 1.4 * np.exp(-((x - 2.2) ** 2 + (z - 1.6) ** 2) * 0.45)
v += 0.035 * (x * x + z * z)
return v
def _grad(p, e=1e-4):
x, z = p
return np.array([(h_loss(x + e, z) - h_loss(x - e, z)) / (2 * e), (h_loss(x, z + e) - h_loss(x, z - e)) / (2 * e)])
def _gd(p, v=None, steps=3000, lr=0.01, mom=0.9):
p = np.array(p, float)
v = np.zeros(2) if v is None else np.array(v, float)
path = [p.copy()]
for _ in range(steps):
v = mom * v - lr * _grad(p)
p = p + v
path.append(p.copy())
if np.linalg.norm(v) < 1e-5 and len(path) > 50:
break
return np.array(path)
def _resample(path, n):
d = np.r_[0, np.cumsum(np.linalg.norm(np.diff(path, axis=0), axis=1))]
s = np.linspace(0, d[-1], n)
return np.stack([np.interp(s, d, path[:, 0]), np.interp(s, d, path[:, 1])], 1)
def loss_paths():
A = _gd((-3.8, -3.2))
loc = A[-1]
goal = np.array([2.26, 1.6])
kick = (goal - loc) / np.linalg.norm(goal - loc) * 0.09
B = _gd(loc, v=kick)
if np.linalg.norm(B[-1] - goal) > 0.3: # fall back: straight glide
B = np.stack([np.linspace(loc[0], goal[0], 400), np.linspace(loc[1], goal[1], 400)], 1)
return _resample(A, 600), _resample(B, 600)
# ------------------------------------------------------------ fractal tree
def tree(seed=7, depth=10):
rng = np.random.default_rng(seed)
segs = [] # x0,y0,x1,y1,depth,width
def grow(x, y, ang, L, d):
if d >= depth or L < 3:
segs.append((x, y, x, y, d, -1.0)) # leaf marker
return
x1, y1 = x + np.cos(ang) * L, y - np.sin(ang) * L
segs.append((x, y, x1, y1, d, max(0.8, 9.0 * 0.72 ** d)))
n = 2 if rng.random() < 0.8 else 3
for k in range(n):
da = (k - (n - 1) / 2) * (0.42 + rng.random() * 0.25) + rng.normal(0, 0.12)
grow(x1, y1, ang + da, L * (0.68 + rng.random() * 0.12), d + 1)
grow(960, 1000, np.pi / 2 + rng.normal(0, 0.03), 175, 0)
return np.array(segs, np.float32)
# ------------------------------------------------------------ human figure
def _sd_capsule(p, a, b, r):
pa, ba = p - a, b - a
h = np.clip((pa * ba).sum(-1) / (ba * ba).sum(), 0, 1)
return np.linalg.norm(pa - ba * h[:, None], axis=-1) - r
def human_points(n=1800, seed=3):
"""Points inside a standing figure; units: height ~ 2 (y up, feet at -1)."""
rng = np.random.default_rng(seed)
pts = []
parts = [
((0, 0.78), (0, 0.78), 0.14), # head
((0, 0.58), (0, 0.05), 0.17), # torso
((0, 0.52), (-0.28, 0.50), 0.07), # shoulders
((0, 0.52), (0.28, 0.50), 0.07), … [+2104 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/geo.py (file state is current in your co … [+32 chars]
BashSanity-check precomputed geometry
$ .venv/bin/python -c "
import sys; sys.path.insert(0,'src'); import geo, numpy as np
A,B=geo.loss_paths(); print(A[0],A[-1],B[0],B[-1]); t=geo.tree(); print(t.shape, (t[:,5]<0).sum()); print(geo.human_points().shape)
"Result
Command did not complete within its 120s timeout and was moved to the background (ID: bj0rehnvr). Output is being written to: /tmp/claude-1000/-home-user-Dropbox-AI-Songs-ai-evolution/6afb02d5-a062-41b4-bb33-25ac52d451cb/tasks/bj0rehnvr.output. You will be notified when it completes. To check interim output, use Read on that file path.
BashProfile loss path and human point generationerror
$ pkill -f "import geo" ; cd ~/Dropbox/AI/Songs/ai-evolution/video && timeout 60 .venv/bin/python -c "
import sys,time; sys.path.insert(0,'src'); import geo, numpy as np
t0=time.time(); A,B=geo.loss_paths(); print('loss',time.time()-t0, A[-1], B[-1])
t0=time.time(); P=geo.human_points(); print('human',time.time()-t0, P.shape)
"Error
Exit code 144
BashProfile geometry generation steps individuallyerror
$ timeout 100 .venv/bin/python -c "
import sys,time; sys.path.insert(0,'src'); import geo, numpy as np
t0=time.time(); A,B=geo.loss_paths(); print('loss',time.time()-t0, A[-1], B[-1], flush=True)
t0=time.time(); P=geo.human_points(); print('human',time.time()-t0, P.shape, flush=True)
t0=time.time(); T=geo.tree(depth=8); print('tree8',time.time()-t0, T.shape, flush=True)
"Error
Exit code 124 loss 0.003825664520263672 [-1.77835162 -0.46607071] [2.26 1.6 ] ~/Dropbox/AI/Songs/ai-evolution/video/src/geo.py:72: RuntimeWarning: invalid value encountered in divide h = np.clip((pa * ba).sum(-1) / (ba * ba).sum(), 0, 1)
BashFix degenerate head capsule and retest
$ sed -i 's/((0, 0.78), (0, 0.78), 0.14), # head/((0, 0.76), (0, 0.80), 0.13), # head/' src/geo.py && timeout 100 .venv/bin/python -c "
import sys,time; sys.path.insert(0,'src'); import geo, numpy as np
t0=time.time(); P=geo.human_points(); print('human',time.time()-t0, P.shape, flush=True)
t0=time.time(); T=geo.tree(); print('tree',time.time()-t0, T.shape, (T[:,5]<0).sum(), flush=True)
"Result
human 0.009839296340942383 (1800, 2) tree 0.014012336730957031 (7070, 6) 3876
Claude’s reasoning · 13:40
Geometry checks out. Next I'll build the director core covering song data, section transitions, the year timeline, and the lyric typography engines like the typewriter log, teletype, fades/pops, token streaming, and token-tree autocomplete.
BashFind a font containing chess king glyph
$ ls /usr/share/fonts/TTF/ | grep -i dejavu | head; fc-list ":charset=265a" family file | head -5Result
/usr/share/fonts/WOFF2/fa-solid-900.woff2: Font Awesome 7 Free,Font Awesome 7 Free Solid /usr/share/fonts/WOFF2/fa-regular-400.woff2: Font Awesome 7 Free /usr/share/fonts/noto/NotoSansSymbols2-Regular.ttf: Noto Sans Symbols 2
BashAdd chess symbol font to atlas config
$ python3 - <<'EOF'
p='src/text.py'; s=open(p).read()
s=s.replace(''' "cjk": ("/usr/share/fonts/noto-cjk/NotoSansCJK-Light.ttc", 0),
}''',''' "cjk": ("/usr/share/fonts/noto-cjk/NotoSansCJK-Light.ttc", 0),
"sym": ("/usr/share/fonts/noto/NotoSansSymbols2-Regular.ttf", 0),
}''')
s=s.replace('''CHARSETS["cjk"] = CJK + " "''','''CHARSETS["cjk"] = CJK + " "
CHARSETS["sym"] = "\\u265a\\u2654\\u265b\\u2655 "''')
open(p,'w').write(s)
EOF
rm -f work/atlas.pkl; grep -n "sym" src/text.pyResult
23: "sym": ("/usr/share/fonts/noto/NotoSansSymbols2-Regular.ttf", 0),
31:CHARSETS["sym"] = "\u265a\u2654\u265b\u2655 "Write~/Dropbox/AI/Songs/ai-evolution/video/src/director.py
~/Dropbox/AI/Songs/ai-evolution/video/src/director.py · 17,884 chars"""The director: turns song time into a fully described frame.
Everything is a pure function of time (plus trail feedback in the engine),
so any frame can be rendered independently.
"""
import json, re
import numpy as np
import scipy.signal as sps
import soundfile as sf
from util import *
from text import GlyphBatch
import geo
FPS = 60
SR = 44100
GREEN = (0.35, 1.0, 0.55)
AMBER = (1.0, 0.68, 0.3)
ICE = (0.7, 0.88, 1.0)
MAGENTA = (1.0, 0.3, 0.8)
CYAN = (0.35, 0.9, 1.0)
WARM = (1.0, 0.86, 0.7)
GOLD = (1.0, 0.78, 0.4)
class Frame:
def __init__(self, t):
self.t = t
self.pts = PointBuf()
self.pts_top = PointBuf()
self.lns = LineBuf()
self.lns_top = LineBuf()
self.gb = None
self.A = (0, np.zeros((4, 4), np.float32), 0.0)
self.B = None
self.mix = 0.0
self.post = {}
self.trail = {"decay": 0.0}
self.grid20 = None
self.bg_only = False
self.hud = 1.0
self.accent = GREEN
def P4(*rows):
P = np.zeros((4, 4), np.float32)
for i, r in enumerate(rows):
P[i, :len(r)] = r
return P
class Director:
def __init__(self, atlas):
self.atlas = atlas
T = json.load(open("work/timeline.json"))
self.lines = T["lines"]
for i, L in enumerate(self.lines):
L["id"] = i
self.by_sec = {}
for L in self.lines:
self.by_sec.setdefault(L["sec"], []).append(L)
fe = np.load("work/features.npz")
self.fe = {k: fe[k] for k in fe.files}
self.N = int(self.fe["n"])
self.dur = float(self.fe["dur"])
self.beats = self.fe["beats"].astype(np.float64) / FPS
self.ibi = float(np.median(np.diff(self.beats)))
# low-passed mono for the phosphor scope
y, sr = sf.read("work/song.wav", dtype="float32")
y = y.mean(1) if y.ndim > 1 else y
b, a = sps.butter(4, 900 / (sr / 2))
self.low = sps.filtfilt(b, a, y).astype(np.float32)
self.audio_sr = sr
# sections
first = {s: self.by_sec[s][0]["s"] for s in self.by_sec}
snap = self.snap
self.bounds = [
("intro", 0.0),
("v1", snap(first["v1"] - 0.3)),
("pre1", snap(first["pre1"] - 0.3)),
("ch1", snap(first["ch1"])),
("v2", snap(first["v2"] - 0.35)),
("pre2", snap(first["pre2"] - 0.3)),
("ch2", snap(first["ch2"])),
("v3", snap(first["v3"] - 0.45)),
("ch3", snap(first["ch3"])),
("bridge", snap(first["bridge"] - 0.6)),
("v4", snap(first["v4"])),
("final", snap(first["final"])),
("outro", snap(first["outro"] - 0.6)),
("end", self.dur + 1),
]
self.sec_start = {n: t for n, t in self.bounds}
# shared precomputes
self.vocab = geo.vocab(self.lines)
self.cloud, self.cloud_c, self.cloud_r = geo.embedding_cloud()
self.let … [+14883 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/director.py (file state is current in yo … [+37 chars]
Claude’s reasoning · 13:45
Director core is finished. Next I'll add an additive text mode for the chromatic "echo" effect on backing vocals, then move on to the per-section scene handlers keyed to exact word times.
BashAdd additive blending option for glyphs
$ cd ~/Dropbox/AI/Songs/ai-evolution/video/src && python3 - <<'EOF'
s=open('shaders/glyph.vert').read()
s=s.replace("out vec2 v_uv; out vec4 v_col; out vec4 v_style; out vec3 v_gcol;","out vec2 v_uv; out vec4 v_col; out vec4 v_style; out vec4 v_gcol;")
s=s.replace("v_col=i_col; v_style=i_style; v_gcol=i_gcol.rgb;","v_col=i_col; v_style=i_style; v_gcol=i_gcol;")
open('shaders/glyph.vert','w').write(s)
s=open('shaders/glyph.frag').read()
s=s.replace("in vec2 v_uv; in vec4 v_col; in vec4 v_style; in vec3 v_gcol;","in vec2 v_uv; in vec4 v_col; in vec4 v_style; in vec4 v_gcol;")
s=s.replace("f = vec4(v_col.rgb*fill*a + v_gcol*glow*a, fill*a);","f = vec4(v_col.rgb*fill*a + v_gcol.rgb*glow*a, fill*a*(1.0-v_gcol.w));")
open('shaders/glyph.frag','w').write(s)
s=open('text.py').read()
s=s.replace('per_char=None, align="left", angle=0.0):','per_char=None, align="left", angle=0.0, additive=False):')
s=s.replace("g, sf, wt, an, gcc[0], gcc[1], gcc[2], 0.0])","g, sf, wt, an, gcc[0], gcc[1], gcc[2], 1.0 if additive else 0.0])")
open('text.py','w').write(s)
EOF
grep -n "additive" text.py shaders/glyph.frag; grep -n v_gcol shaders/glyph.fragResult
text.py:119: per_char=None, align="left", angle=0.0, additive=False): text.py:153: g, sf, wt, an, gcc[0], gcc[1], gcc[2], 1.0 if additive else 0.0]) 2:in vec2 v_uv; in vec4 v_col; in vec4 v_style; in vec4 v_gcol; 14: f = vec4(v_col.rgb*fill*a + v_gcol.rgb*glow*a, fill*a*(1.0-v_gcol.w));
Write~/Dropbox/AI/Songs/ai-evolution/video/src/scenes.py
~/Dropbox/AI/Songs/ai-evolution/video/src/scenes.py · 49,719 chars"""Section handlers. Each: handler(D, F, lt, name). Sets F.A (bg), geometry, glyphs, post."""
import re
import numpy as np
from util import *
from director import P4, GREEN, AMBER, ICE, MAGENTA, CYAN, WARM, GOLD
LOG_X, LOG_Y, LOG_SIZE, LOG_SP = 170.0, 960.0, 40.0, 56.0
def lines(D, sec):
return D.by_sec[sec]
def wtime(D, sec, li, sub, which="s"):
L = D.by_sec[sec][li]
for w in L["words"]:
if sub.lower() in w["t"].lower():
return w[which]
return L["s"]
def cur_line(D, sec, t, lead=0.0):
c = -1
for k, L in enumerate(D.by_sec[sec]):
if L["s"] - lead <= t:
c = k
return c
# ====================================================================== shared visuals
def cloud(D, F, lt, cA, cB, alpha=0.6, explode=1.0, rot=0.07, spec=False, labels=True, cx=960, cy=540, scale=1.0,
lab_col=None):
P = D.cloud * explode
a = lt * rot + 0.6
tl = 0.35 + 0.12 * np.sin(lt * 0.05)
x = P[:, 0] * np.cos(a) + P[:, 2] * np.sin(a)
z = -P[:, 0] * np.sin(a) + P[:, 2] * np.cos(a)
y = P[:, 1] * np.cos(tl) - z * np.sin(tl)
z2 = P[:, 1] * np.sin(tl) + z * np.cos(tl)
zc = z2 + 4.2
f = 820 * scale
sx = cx + x * f / zc
sy = cy - y * f / zc
depth = np.clip((5.6 - zc) / 2.8, 0, 1)
size = (1.8 + 3.8 * depth + D.cloud_r * 2.2) * (1 + F.kick * 0.6)
cid = D.cloud_c
if spec:
cols = spectral(cid / 14.0 + F.t * 0.04)
else:
m = ((cid % 5) / 4.0)[:, None]
cols = np.asarray(cA)[None, :] * (1 - m) + np.asarray(cB)[None, :] * m
cols = cols * (1 - D.cloud_r[:, None] * 0.35) + D.cloud_r[:, None] * 0.35
al = alpha * (0.3 + 0.7 * depth)
F.pts.add(sx, sy, size * 1.8, cols, al * 0.9, shape=0)
hi = D.cloud_r > 0.93
F.pts.add(sx[hi], sy[hi], size[hi] * 1.2, np.ones(3), al[hi] * 1.2, shape=1)
if labels:
idx = np.arange(0, len(sx), 71)
lc = lab_col if lab_col is not None else cA
for j, i in enumerate(idx):
if depth[i] < 0.35:
continue
word = D.vocab[(j * 7) % len(D.vocab)]
F.gb.add("mono", word, 13 + 5 * depth[i], sx[i] + 7, sy[i] + 4,
color=(*lc, alpha * 0.55 * depth[i]), glow=0.2, additive=True)
CAND = {
"next": ["after", "home", "true"], "guess": ["know", "say", "learn"], "word": ["step", "breath", "dream"],
"rest": ["end", "past", "same"], "letter": ["word", "page", "dream"], "left": ["wrote", "said", "kept"],
"echo": ["shadow", "mirror", "child"], "wire": ["dark", "glass", "static"], "together": ["alone", "again", "forever"],
"sure": ["now", "certain", "long"], "dreamers": ["doubters", "builders", "poets"], "headlines": ["prophets", "papers", "critics"],
"learned": ["wanted", "tried", "needed"], "built": ["made", "grown", "woven"], "comes": ["goes", "waits", "falls"],
"another": ["a pause", "silence", "a breath"], "write": ["dream", "sing", "draw"], "nobody": ["no one", "none", "not … [+46718 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/scenes.py (file state is current in your … [+35 chars]
All the scenes are written. Next is the render driver, which can output preview stills at chosen timestamps or pipe frames to NVENC. Then I'll start debugging.
2 tool callsWrite ×1, Bash ×1
Write~/Dropbox/AI/Songs/ai-evolution/video/src/render.py
~/Dropbox/AI/Songs/ai-evolution/video/src/render.py · 3,766 chars"""Render stills or video.
python src/render.py --stills 12.9,20,49.5 # PNG previews -> work/stills/
python src/render.py --start 0 --end 330 --out out.mp4 # video (no audio) segment
"""
import argparse, os, subprocess, sys, time
import numpy as np
from PIL import Image
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from engine import Engine
from text import Atlas
from director import Director, FPS
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--stills", default="")
ap.add_argument("--w", type=int, default=1920)
ap.add_argument("--h", type=int, default=1080)
ap.add_argument("--start", type=float, default=0.0)
ap.add_argument("--end", type=float, default=None)
ap.add_argument("--out", default="")
ap.add_argument("--fps", type=int, default=FPS)
ap.add_argument("--preroll", type=float, default=0.6)
ap.add_argument("--sheet", default="")
a = ap.parse_args()
E = Engine(a.w, a.h)
A = Atlas()
E.set_atlas(A.img)
D = Director(A)
blank_grid = np.zeros(400, np.float32)
def render_t(t):
F = D.build(t)
pa = F.A[1]
U = dict(u_t=float(t), u_lt=float(F.A[2]), u_sceneA=float(F.A[0]), u_pa=pa,
u_a=(F.bass, F.mid, F.high, F.rms), u_b=(F.kick, F.onset, F.energy, F.bphase), u_mix=float(F.mix))
if F.B is not None:
U.update(u_sceneB=float(F.B[0]), u_pb=F.B[1], u_ltb=float(F.B[2]))
else:
U.update(u_sceneB=0.0, u_pb=pa, u_ltb=0.0)
E.set_spectrum(F.spec)
E.set_grid(F.grid20 if F.grid20 is not None else blank_grid)
return E.render(U, points=F.pts.array(), lines=F.lns.array(), glyphs=F.gb.array(), post=F.post,
trail=F.trail, lines_top=F.lns_top.array(), points_top=F.pts_top.array())
if a.stills:
os.makedirs("work/stills", exist_ok=True)
ims = []
for s in a.stills.split(","):
t = float(s)
for tt in np.arange(max(0, t - a.preroll), t, 1.0 / a.fps):
render_t(tt)
buf = render_t(t)
im = Image.frombytes("RGB", (a.w, a.h), buf)
p = f"work/stills/t{t:07.2f}.png"
im.save(p)
ims.append(im)
print(p, flush=True)
if a.sheet and ims:
cols = 2 if len(ims) > 1 else 1
tw, th = a.w, a.h
rows = (len(ims) + cols - 1) // cols
S = Image.new("RGB", (tw * cols, th * rows))
for i, im in enumerate(ims):
S.paste(im, ((i % cols) * tw, (i // cols) * th))
S.save(a.sheet)
print(a.sheet)
return
end = a.end if a.end is not None else D.dur
n0 = int(round(a.start * a.fps))
n1 = int(round(end * a.fps))
cmd = ["ffmpeg", "-y", "-loglevel", "error", "-f", "rawvideo", "-pix_fmt", "rgb24", "-s", f"{a.w}x{a.h}",
"-r", str(a.fps), "-i", "-", "-c:v", "h264_nvenc", "-preset", "p7", "-tune", "hq" … [+765 chars]Result
File created successfully at: ~/Dropbox/AI/Songs/ai-evolution/video/src/render.py (file state is current in your … [+35 chars]
BashCheck uniform array naming, render first preview stills
$ cd ~/Dropbox/AI/Songs/ai-evolution/video && .venv/bin/python -c "
import sys; sys.path.insert(0,'src'); from engine import Engine
E=Engine(320,180); print([k for k in E.p_bg if k.startswith('u_p')])
" && time .venv/bin/python src/render.py --w 960 --h 540 --stills 1.5,10.5,17.0,23.5,30.5,34.5,38.2,45.0 --sheet work/sheet1.png 2>&1 | tail -15Result
['u_pa', 'u_pb'] atlas used 2015px of 4096 work/stills/t0001.50.png work/stills/t0010.50.png work/stills/t0017.00.png work/stills/t0023.50.png work/stills/t0030.50.png work/stills/t0034.50.png work/stills/t0038.20.png work/stills/t0045.00.png work/sheet1.png real 0m4.258s user 0m8.235s sys 0m0.276s
Fast: about 300 frames in 4 seconds, including preroll. Let me look at the first previews.
7 tool callsRead ×4, Bash ×3
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet1.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet1.pngResult
(7 chars)
Claude’s reasoning · 13:50
The full pipeline runs end to end, but I've spotted several issues to fix: the oscilloscope blows out into a blob, ligatures swallow letters, the year counter moves too early and collides with the lamp grid along with the headline, and the pine trees sit behind the lyric log. I'll address these next.
BashApply fixes to fonts, year HUD, scope and 1950s layout, then rerender
$ python3 - <<'EOF'
import re
p='src/text.py'; s=open(p).read()
s=s.replace('self.fonts = {k: ImageFont.truetype(p, BASE, index=i) for k, (p, i) in FONTS.items()}',
'self.fonts = {k: ImageFont.truetype(p, BASE, index=i, layout_engine=ImageFont.Layout.BASIC) for k, (p, i) in FONTS.items()}')
open(p,'w').write(s)
p='src/director.py'; s=open(p).read()
old=s[s.index(' def year_at(self, t):'):s.index(' def hud(self, F):')]
new=''' def year_at(self, t):
Y = self.YEARS
k = 0
for j in range(len(Y)):
if t >= Y[j][0] - 0.3:
k = j
if k == 0:
return Y[0][1], 1.0
u = ease_io((t - (Y[k][0] - 0.3)) / 1.2)
return Y[k - 1][1] + (Y[k][1] - Y[k - 1][1]) * u, u
'''
s=s.replace(old,new)
# scope: dimmer, larger, proper delay
s=s.replace('def scope(self, F, cx, cy, scale, col, a, n=1500, tau=70, w=1.6, rot=0.785):',
'def scope(self, F, cx, cy, scale, col, a, n=1500, tau=170, w=1.2, rot=0.785):')
s=s.replace('al = a * np.clip(6.0 / (seg + 3.0), 0.08, 1.0)','al = a * 0.16 * np.clip(4.0 / (seg + 1.0), 0.05, 1.0)')
open(p,'w').write(s)
p='src/shaders/bg.frag'; s=open(p).read()
s=s.replace('float baseY = 930.0;','float baseY = 800.0;')
s=s.replace('float hh = 210.0 + hash11(ci*7.31+1.0)*300.0;','float hh = 170.0 + hash11(ci*7.31+1.0)*260.0;')
s=s.replace('col += phos(0.9)*stars(fc, 14.0, 0.992)*step(fc.y, 720.0)*tA;','col += phos(0.9)*stars(fc, 14.0, 0.992)*step(fc.y, 600.0)*tA;')
open(p,'w').write(s)
p='src/scenes.py'; s=open(p).read()
s=s.replace('F.A = (1, P4([grat, perc, pines, 0], [1180, 470], [1330, 470, 26, 1], [grow]), lt)',
'F.A = (1, P4([grat, perc, pines, 0], [1180, 470], [1380, 540, 23, 1], [grow]), lt)')
s=s.replace('F.gb.add("typeb", wd, 54 * sc, x + w / 2 - w * sc / 2, 230,','F.gb.add("typeb", wd, 54 * sc, x + w / 2 - w * sc / 2, 195,')
s=s.replace('F.gb.add("type", SUBHEAD, 23, 960, 285,','F.gb.add("type", SUBHEAD, 23, 960, 238,')
s=s.replace('F.gb.add("type", "\\u2014 July 8, 1958", 20, 960, 318,','F.gb.add("type", "\\u2014 July 8, 1958", 20, 960, 266,')
s=s.replace('F.gb.add("typeb", txt, 190, 960, 330, color=(*GREEN, 0.9 * ca), glow=0.8, align="center")',
'F.gb.add("typeb", txt, 170, 620, 520, color=(*GREEN, 0.9 * ca), glow=0.8, align="center")')
s=s.replace('F.gb.add("typeb", s, 50, 960, 250,','F.gb.add("typeb", s, 50, 960, 230,')
s=s.replace('F.gb.add("type", "DARTMOUTH COLLEGE \\u00b7 SUMMER 1956", 22, 960, 300,','F.gb.add("type", "DARTMOUTH COLLEGE \\u00b7 SUMMER 1956", 22, 960, 275,')
open(p,'w').write(s)
EOF
grep -n "170, 620, 520\|238,\|275," src/scenes.py | head; rm -f work/atlas.pkl
.venv/bin/python src/render.py --w 960 --h 540 --stills 6.0,10.5,17.0,23.5,30.5,34.5,38.2,50.5 --sheet work/sheet1.png 2>&1 | tail -2Result
313: F.gb.add("type", SUBHEAD, 23, 960, 238, color=(*GREEN, 0.75 * sa), align="center")
324: F.gb.add("typeb", txt, 170, 620, 520, color=(*GREEN, 0.9 * ca), glow=0.8, align="center")
work/stills/t0050.50.png
work/sheet1.pngRead~/Dropbox/AI/Songs/ai-evolution/video/work/sheet1.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet1.pngResult
(7 chars)
Claude’s reasoning · 13:51
Replacing the fuzzy oscilloscope delay embedding with a proper 1950s Lissajous figure whose frequency ratios shift with the beat, size follows the bass, and waveform ripples in real time. Next I'll check the chorus and '80s section.
BashReplace scope with morphing Lissajous, tone down glows, render chorus previews
$ python3 - <<'EOF'
p='src/director.py'; s=open(p).read()
i=s.index(' def scope(self');
s=s[:i]+''' RATIOS = [(1, 2), (2, 3), (3, 4), (3, 2), (1, 3), (3, 5), (2, 1), (4, 5), (5, 4), (1, 1)]
def scope(self, F, cx, cy, scale, col, a, n=900, w=1.3, **kw):
"""A 1950s oscilloscope Lissajous whose frequency ratio morphs on every beat,
sized by the bass and rippled by the real waveform."""
if a <= 0.005:
return
bi = max(F.beat_i, 0)
R = self.RATIOS
p0, q0 = R[(bi // 2) % len(R)]
p1, q1 = R[(bi // 2 + 1) % len(R)]
m = ease_io(((bi % 2) + F.bphase) / 2.0) if (bi % 2) == 1 else 0.0
m = ease_io(F.bphase) if (bi % 2) == 1 else 0.0
p = lerp(p0, p1, m)
q = lerp(q0, q1, m)
u = np.linspace(0, 2 * np.pi, n)
ph = F.t * 0.9
i1 = int(F.t * self.audio_sr)
wav = self.low[max(0, i1 - n * 2):i1:2]
if len(wav) < n:
wav = np.zeros(n, np.float32)
wav = wav / (np.abs(wav).max() + 1e-3)
A = scale * (0.75 + 0.45 * F.bass + 0.25 * F.pulse)
X = cx + A * 1.25 * np.sin(p * u + ph) + wav * 10 * F.high
Y = cy + A * np.sin(q * u) + wav * 14 * F.mid
seg = np.hypot(np.diff(X), np.diff(Y))
al = a * np.clip(3.0 / (seg + 0.5), 0.15, 1.0)
al = np.r_[al, al[-1]]
F.lns.polyline(X, Y, w, col, al * 0.7)
'''
open(p,'w').write(s)
p='src/scenes.py'; s=open(p).read()
s=s.replace(''' F.gb.add("typeb", wd, 54 * sc, x + w / 2 - w * sc / 2, 195, color=(0.85, 1.0, 0.9, ha),
glow=0.4 + 2 * np.exp(-dt / 0.1), angle=(hsh(k, 4) - 0.5) * 0.03)''',''' F.gb.add("typeb", wd, 54 * sc, x + w / 2 - w * sc / 2, 195, color=(0.85, 1.0, 0.9, ha),
glow=0.15 + 1.2 * np.exp(-dt / 0.1), angle=(hsh(k, 4) - 0.5) * 0.03)''')
s=s.replace('F.gb.add("typeb", s, 50, 960, 230, color=(*GREEN, na), glow=0.6, align="center", per_char=pc)','F.gb.add("typeb", s, 50, 960, 230, color=(*GREEN, na), glow=0.3, align="center", per_char=pc)')
s=s.replace('return {"glow": 0.6 + 2.0 * np.exp(-dt / 0.15)}','return {"glow": 0.3 + 1.5 * np.exp(-dt / 0.15)}')
s=s.replace('inten = (0.35 + 0.25 * F.energy) * rampin','inten = (0.26 + 0.2 * F.energy) * rampin')
open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --w 960 --h 540 --stills 10.5,17.0,55.0,60.2,64.5,68.0,76.5,80.0 --sheet work/sheet2.png 2>&1 | tail -1Result
work/sheet2.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet2.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet2.pngResult
(7 chars)
Claude’s reasoning · 13:52
The Lissajous visualization looks great, but the chorus has two issues: newest words wash out into unreadable white, and branches curve into odd parenthesis-like shapes. I'll tone down the glow, add drop shadows for legibility, make branches grow sideways like a tree, and shift the "What comes next?" echoes off the main line.
BashTune chorus token tree and render verse 2 previews
$ python3 - <<'EOF'
p='src/text.py'; s=open(p).read()
s=s.replace('per_char=None, align="left", angle=0.0, additive=False):\n','per_char=None, align="left", angle=0.0, additive=False, shadow=0.0):\n')
s=s.replace(''' if align != "left":
w = self.atlas.width(font, s, size)
x = x - (w if align == "right" else w * 0.5)''',''' if align != "left":
w = self.atlas.width(font, s, size)
x = x - (w if align == "right" else w * 0.5)
if shadow > 0:
self.add(font, s, size, x + size * 0.03, y + size * 0.05, color=(0, 0, 0, shadow * color[3]), glow=0.0,
soft=0.22, weight=0.12, per_char=(lambda i, ch, n, pc=per_char: (None if pc(i, ch, n) is None else
{k: v for k, v in pc(i, ch, n).items() if k in ("a", "dx", "dy", "scale")})) if per_char else None)''')
open(p,'w').write(s)
p='src/scenes.py'; s=open(p).read()
s=s.replace(''' F.gb.add(font, w["t"], s2, x2, yy + (sc - 1) * sz * 0.3, color=(*wc, a),
glow=0.35 + 1.6 * np.exp(-dt / 0.15) + 0.5 * act, per_char=pc)''',''' F.gb.add(font, w["t"], s2, x2, yy + (sc - 1) * sz * 0.3, color=(*wc, a),
glow=0.2 + 0.7 * np.exp(-dt / 0.12) + 0.2 * act, per_char=pc, shadow=0.7)''')
s=s.replace(''' nodes = [(x + ww * 0.5, yy + sz * 0.3) for (x, yy, ww) in boxes]''',''' nodes = [(x + ww * 0.5, yy + sz * 0.42) for (x, yy, ww) in boxes]''')
s=s.replace(''' F.lns.add(ax, ay, lerp(ax, bx, g), lerp(ay, by, g), 1.6, wc, wc, 0.5 * la, 0.9 * la)
F.pts.add(nodes[k][0], nodes[k][1], 9 + 14 * np.exp(-dt / 0.2), wc, 0.9 * la, shape=0)''',''' F.lns.add(ax, ay, lerp(ax, bx, g), lerp(ay, by, g), 1.0, wc, wc, 0.18 * la, 0.35 * la)
F.pts.add(nodes[k][0], nodes[k][1], 7 + 14 * np.exp(-dt / 0.2), wc, 0.8 * la, shape=0)''')
s=s.replace(''' gy = yy - sz * 0.35 + side * (sz * 1.2 + 60 * hsh(L["id"], k, j, 2) + j * 38)''',''' gy = yy - sz * 0.35 + side * (sz * 0.95 + 45 * hsh(L["id"], k, j, 2) + j * 34)''')
s=s.replace(''' ga = la * (0.22 + 0.25 * np.exp(-dt / 0.5))
gc = tuple(c * 0.85 for c in wc)
F.gb.add(gfont, alt, sz * 0.42, px, py + sz * 0.14, color=(*gc, ga), align="center", additive=True)
bx_, by_ = bezier(src, ((src[0] + px) / 2, py), (px - 0.0, py + side * -sz * 0.05), 12)
F.lns.polyline(bx_, by_, 1.0, gc, 0.16 * la * fly)''',''' ga = la * (0.3 + 0.3 * np.exp(-dt / 0.5))
gc = tuple(c * 0.85 for c in wc)
F.gb.add(gfont, alt, sz * 0.42, px, py + sz * 0.14, color=(*gc, ga), align="center", additive=True)
gw = D.atlas.width(gfont, alt, sz * 0.42)
end_ = (px - gw * 0.5 - 8, py)
bx_, by_ = bezier(src, (src[0] + (end_[0] - src[0]) * 0.7, src[1]), end_, 14)
F.lns.polyline(bx_, by_, 1.0, … [+406 chars]Result
work/sheet3.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet3.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet3.pngResult
(7 chars)
Progress. The frost has swallowed the whole screen, the synthwave sun is blown out to pure white (hiding the network and the chess king), and the text on bright floors washes out. Fixing all three.
6 tool callsBash ×3, Read ×3
BashFix frost, sun brightness, layout, add text shadows; rerender v2/pre2
$ python3 - <<'EOF'
p='src/shaders/bg.frag'; s=open(p).read()
old=s[s.index(' // frost (AI winters)'):s.index(' // teletype dimming (ELIZA)')]
new=''' // frost (AI winters): crystals creep in from the edges
float fr = P[1].x;
if (fr > 0.0) {
vec2 e = min(fc, vec2(1920.,1080.)-fc)/vec2(960.,540.);
float ed = min(e.x, e.y);
float grow = fr*0.8 - ed + (fbm(fc*0.006)-0.5)*0.35;
float mask = smoothstep(0.0, 0.15, grow);
float cr = pow(1.0-abs(fbm(fc*0.012)*2.0-1.0), 10.0);
float cr2 = pow(1.0-abs(fbm(fc*0.04+7.0)*2.0-1.0), 14.0);
vec3 cold = vec3(luma(col))*vec3(0.6,0.8,1.2);
col = mix(col, cold, clamp(fr*0.85,0.,1.));
vec3 ice = vec3(0.75,0.9,1.0)*(cr*0.7 + cr2*0.45);
col = mix(col, col*0.5 + vec3(0.04,0.06,0.09) + ice, mask*0.9);
}
'''
s=s.replace(old,new)
s=s.replace(''' vec2 sc = vec2(960.0, hy - 170.0);
float r = length(fc - sc);
float sr = 240.0;''',''' vec2 sc = vec2(960.0, hy - 150.0);
float r = length(fc - sc);
float sr = 205.0;''')
s=s.replace('col = mix(col, sunc*1.5, disc*sunA);','col = mix(col, sunc*0.85, disc*sunA);')
s=s.replace('col += vec3(1.0,0.3,0.55)*exp(-max(r-sr,0.0)*0.01)*0.3*sunA;','col += vec3(1.0,0.3,0.55)*exp(-max(r-sr,0.0)*0.012)*0.18*sunA;')
open(p,'w').write(s)
p='src/director.py'; s=open(p).read()
s=s.replace(''' o = dict(color=(*col, a * la), glow=glow * (1 + act * active_boost * 3), soft=soft0 * (1 - a) ** 2)
if fx:
fx(o, k, w, t - ws)
F.gb.add(font, wt, size, xx, yy + rise * (1 - a) ** 2 + o.get("dy", 0), color=o["color"],
glow=o["glow"], soft=o["soft"])''',''' o = dict(color=(*col, a * la), glow=glow * (1 + act * active_boost * 3), soft=soft0 * (1 - a) ** 2)
if fx:
fx(o, k, w, t - ws)
F.gb.add(font, wt, size, xx, yy + rise * (1 - a) ** 2 + o.get("dy", 0), color=o["color"],
glow=o["glow"], soft=o["soft"], shadow=shadow)''')
s=s.replace(''' F.gb.add(font, wt, s2, x2, y2 + o.get("dy", 0), color=o["color"], glow=o["glow"])''',''' F.gb.add(font, wt, s2, x2, y2 + o.get("dy", 0), color=o["color"], glow=o["glow"], shadow=shadow)''')
s=s.replace('''glow + 1.6 * np.exp(-max(dt, 0) / 0.12) + act * active_boost)''','''glow + 0.8 * np.exp(-max(dt, 0) / 0.12) + act * active_boost * 0.5)''')
s=s.replace('''upper=False, word_color=None, soft0=0.2, rise=16.0, lh=1.3, active_boost=0.35, fx=None):''','''upper=False, word_color=None, soft0=0.2, rise=16.0, lh=1.3, active_boost=0.35, fx=None, shadow=0.6):''')
s=s.replace(''' upper=False, alpha=1.0, glow=0.55, hist=(1.0, 0.55, 0.32, 0.16, 0.08), prompt=None,
cursor=True, fx=None, rate=0.055):''',''' upper=False, alpha=1.0, glow=0.55, hist=(1.0, 0.55, 0.32, 0.16, 0.08), prompt=None,
cursor=True, fx=None, rate=0.055, shadow=0.0):''')
s=s.replace(''' … [+1296 chars]Result
work/sheet3.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet3.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet3.pngResult
(7 chars)
Claude’s reasoning · 13:53
The frost scene now looks like a frozen synthwave world. Next I'll fix the chess king's blob rendering into a silhouette with a neon rim, correct the loss-landscape camera dipping underground (causing a black frame), and improve the readability of the frost lyrics text.
BashFix king outline, loss camera, frost text; render v3 previews
$ python3 - <<'EOF'
p='src/scenes.py'; s=open(p).read()
s=s.replace(''' F.gb.add("sym", "\\u265a", 330, 960 - 165 + 150 * fall, 610 + 120 * fall ** 2, color=(0.03, 0.0, 0.05, ka),
glow=1.4, glowc=(1.0, 0.35, 0.8), angle=ang)''',''' kx, ky = 960 - 165 + 150 * fall, 600 + 110 * fall ** 2
F.gb.add("sym", "\\u265a", 330, kx, ky, color=(1.0, 0.35, 0.85, ka), glow=0.5, weight=0.06, angle=ang)
F.gb.add("sym", "\\u265a", 330, kx, ky, color=(0.03, 0.0, 0.06, ka), glow=0.0, weight=-0.01, angle=ang)''')
s=s.replace(''' ro = ta + np.array([np.cos(ang) * R, 2.7 + 2.2 * rise, np.sin(ang) * R])''',''' ro = ta + np.array([np.cos(ang) * R, 2.7 + 2.2 * rise, np.sin(ang) * R])
ro[1] = max(ro[1], float(geo.h_loss(ro[0], ro[2])) + 1.6 + 2.2 * rise)''')
s=s.replace(''' D.lyr_log(F, Ls[:4], 150, 900, font="typeb", size=34, color=AMBER, spacing=52, upper=True, alpha=la,
glow=0.5,''',''' D.lyr_log(F, Ls[:4], 150, 900, font="typeb", size=36, color=AMBER, spacing=54, upper=True, alpha=la,
glow=0.6,''')
s=s.replace(''' if L["id"] >= Ls[2]["id"]:
o["color"] = ICE''',''' if L["id"] >= Ls[2]["id"]:
o["color"] = (0.85, 0.95, 1.0)''')
s=s.replace('''prompt=lambda L: "> " if L["id"] == Ls[1]["id"] else "", shadow=0.7)''','''prompt=lambda L: "> " if L["id"] == Ls[1]["id"] else "", shadow=1.0)''')
open(p,'w').write(s)
p='src/shaders/bg.frag'; s=open(p).read()
s=s.replace('float cr = pow(1.0-abs(fbm(fc*0.012)*2.0-1.0), 10.0);','float cr = pow(1.0-abs(fbm(fc*0.009)*2.0-1.0), 16.0);')
s=s.replace('float cr2 = pow(1.0-abs(fbm(fc*0.04+7.0)*2.0-1.0), 14.0);','float cr2 = pow(1.0-abs(fbm(fc*0.03+7.0)*2.0-1.0), 22.0);')
open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --w 960 --h 540 --stills 88.5,101.2,110.0,120.2,150.5,152.4,155.0,158.8 --sheet work/sheet4.png 2>&1 | tail -1Result
work/sheet4.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet4.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet4.pngResult
(7 chars)
Claude’s reasoning · 13:54
The cat, loss landscape, and Go board are all working well now, but the chess king still looks like a blob—I'll isolate and fix that next, along with tightening the text glow in the kinetic sections.
BashRender isolated chess king outline variants
$ cat > work/king_test.py <<'EOF'
import sys; sys.path.insert(0,'src')
import numpy as np
from PIL import Image
from engine import Engine; from text import Atlas, GlyphBatch
from director import P4
E=Engine(960,540); A=Atlas(); E.set_atlas(A.img)
gb=GlyphBatch(A)
for i,(w1,w2,g) in enumerate([(0.06,-0.01,0.5),(0.025,0.0,0.0),(0.0,-0.05,0.0)]):
x=200+i*600
gb.add("sym","♚",330,x,650,color=(1.0,0.3,0.8,1),glow=g,weight=w1)
gb.add("sym","♚",330,x,650,color=(0.03,0,0.06,1),glow=0,weight=w2)
U=dict(u_t=1.0,u_lt=1.0,u_sceneA=4.0,u_pa=P4([1,1,0,0],[0,0,1,0],[1]),u_pb=P4(),u_mix=0.0,u_a=(0,0,0,0),u_b=(0,0,0,0),u_ltb=0.0,u_sceneB=0.0)
Image.frombytes("RGB",(960,540),E.render(U,glyphs=gb.array(),post=dict(u_bloom=0.8,u_thresh=0.5))).save("work/king.png")
EOF
.venv/bin/python work/king_test.pyResult
(Bash completed with no output)
Read~/Dropbox/AI/Songs/ai-evolution/video/work/king.png
~/Dropbox/AI/Songs/ai-evolution/video/work/king.pngResult
(7 chars)
The king renders nicely in isolation, so the scene code probably never received the edit. Checking.
12 tool callsBash ×8, Read ×3, Edit ×1
BashCheck chess king drawing code in scenes
$ grep -n 'u265a' src/scenes.pyResult
(Bash completed with no output)
BashFind sym font usage lines
$ grep -n '"sym"' src/scenes.pyResult
476: F.gb.add("sym", "♚", 300, 960 - 150 + 130 * fall, 330 + 240 * fall ** 2, color=(0.05, 0.0, 0.08, ka),Read~/Dropbox/AI/Songs/ai-evolution/video/src/scenes.py offset=470 limit=10
~/Dropbox/AI/Songs/ai-evolution/video/src/scenes.py offset=470 limit=10Result
(507 chars)
Edit~/Dropbox/AI/Songs/ai-evolution/video/src/scenes.py
~/Dropbox/AI/Songs/ai-evolution/video/src/scenes.py- F.gb.add("sym", "♚", 300, 960 - 150 + 130 * fall, 330 + 240 * fall ** 2, color=(0.05, 0.0, 0.08, ka), - glow=2.2, glowc=(1.0, 0.3, 0.8), angle=ang) + kx, ky = 960 - 150 + 150 * fall, 600 + 110 * fall ** 2 + F.gb.add("sym", "♚", 300, kx, ky, color=(1.0, 0.3, 0.8, ka), glow=0.5, weight=0.06, angle=ang) + F.gb.add("sym", "♚", 300, kx, ky, … [+63 chars]
Result
The file ~/Dropbox/AI/Songs/ai-evolution/video/src/scenes.py has been updated successfully.
BashCheck other unicode-string edits landed
$ grep -n 'DARTMOUTH\|July 8' src/scenes.pyResult
280: F.gb.add("type", "DARTMOUTH COLLEGE · SUMMER 1956", 22, 960, 300, color=(*GREEN, 0.5 * na * sat((t - t_name - 1.0) / 0.5)),
316: F.gb.add("type", "— July 8, 1958", 20, 960, 318, color=(*GREEN, 0.5 * sa), align="center")BashApply remaining fixes and render later v3 previews
$ python3 - <<'EOF'
p='src/scenes.py'; s=open(p).read()
s=s.replace('SUMMER 1956", 22, 960, 300,','SUMMER 1956", 22, 960, 275,')
s=s.replace('July 8, 1958", 20, 960, 318,','July 8, 1958", 20, 960, 266,')
# v3 text glow down; go special stone position
s=s.replace('D.lyr_center(F, L2, la, 960, ytext, font="sansb", size=54, color=tc, mode="pop", glow=0.45)','D.lyr_center(F, L2, la, 960, ytext, font="sansb", size=54, color=tc, mode="pop", glow=0.15)')
s=s.replace('D.lyr_center(F, L, 1.0, 960, y0, font="sansb", size=60, color=tc, mode="pop", glow=0.4)','D.lyr_center(F, L, 1.0, 960, y0, font="sansb", size=60, color=tc, mode="pop", glow=0.15)')
s=s.replace('F.A = (7, P4([0.08 + 0.28 * prog, sp, R, 0.55 * sp], [4, -3]), ll)','F.A = (7, P4([0.08 + 0.28 * prog, sp, R, 0.55 * sp], [-3, 3]), ll)')
s=s.replace('''mode="pop",
glow=0.4)''','''mode="pop",
glow=0.15)''')
s=s.replace('F.pts_top.add(sx, sy, 60 + dt * 900, (1.0, 0.85, 0.6), 0.9 * np.exp(-dt / 0.9), shape=2)','F.pts_top.add(sx, sy, 60 + dt * 900, (1.0, 0.85, 0.6), 0.45 * np.exp(-dt / 0.9), shape=2)')
open(p,'w').write(s)
p='src/shaders/bg.frag'; s=open(p).read()
s=s.replace(' float mask = smoothstep(0.0, 0.15, grow);\n',' float mask = smoothstep(0.0, 0.15, grow)*(1.0 - 0.8*smoothstep(700.0, 840.0, fc.y)*step(fc.x, 1600.0));\n')
open(p,'w').write(s)
EOF
grep -c "0.8\*smoothstep(700.0" src/shaders/bg.frag
.venv/bin/python src/render.py --w 960 --h 540 --stills 88.5,101.2,103.2,162.5,167.0,171.0,175.5,179.5 --sheet work/sheet5.png 2>&1 | tail -1Result
1 work/sheet5.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet5.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet5.pngResult
(7 chars)
Claude’s reasoning · 13:55
The renderer works — the '80s section, deep-learning montage, and loss landscape all render correctly. Now I'll fix some overlap/clutter issues and a hash bug misaligning the "typing questions," then review the bridge, future verse, and ending.
BashImprove hash, tame vortex, render chorus 3 and bridge previews
$ python3 - <<'EOF'
p='src/util.py'; s=open(p).read()
old=s[s.index('def hsh(*v):'):s.index('def hsv(')]
new='''def hsh(*v):
"""deterministic, well-mixed hash of numbers -> [0,1)"""
h = hash(tuple(float(x) for x in v)) & 0xFFFFFFFFFFFFFFFF
h = (h + 0x9E3779B97F4A7C15) & 0xFFFFFFFFFFFFFFFF
h = ((h ^ (h >> 30)) * 0xBF58476D1CE4E5B9) & 0xFFFFFFFFFFFFFFFF
h = ((h ^ (h >> 27)) * 0x94D049BB133111EB) & 0xFFFFFFFFFFFFFFFF
h ^= h >> 31
return (h >> 11) / float(1 << 53)
'''
s=s.replace(old,new); open(p,'w').write(s)
p='src/director.py'; s=open(p).read()
s=s.replace('def visible_lines(self, lines, t, pre=0.15, linger=1.6, fout=0.35, main_only=None):','def visible_lines(self, lines, t, pre=0.12, linger=1.6, fout=0.2, main_only=None):')
open(p,'w').write(s)
p='src/scenes.py'; s=open(p).read()
old=s[s.index('def vortex('):s.index('def s_v3(')]
new='''def vortex(D, F, lt, cols, n=240, snippets=False, speed=1.0, cx=960, cy=560):
for j in range(n):
per = 3.2 + 2.4 * hsh(j, 1)
life = ((lt * speed + hsh(j, 2) * per) % per) / per
r = 40 + 880 * (1 - life) ** 1.3
th = hsh(j, 3) * 6.283 + 3.4 * life ** 1.5
x = cx + np.cos(th) * r
y = cy + np.sin(th) * r * 0.46
if snippets and hsh(j, 5) < 0.45:
word = SNIPPETS[j % len(SNIPPETS)]
else:
word = D.vocab[(j * 13) % len(D.vocab)]
a = sat(life * 5) * sat((1 - life) * 4) * 0.6 * sat((1 - r / 1000) * 3)
sz = 11 + 17 * (1 - life)
c = cols[j % len(cols)]
F.gb.add("mono" if hsh(j, 6) < 0.6 else "serifr", word, sz, x, y, color=(*c, a), glow=0.2, align="center",
additive=True)
F.pts.add(cx, cy, 120 + 40 * F.kick, (1.0, 0.8, 0.6), 0.5, shape=0)
'''
s=s.replace(old,new)
s=s.replace('vortex(D, F, t - Ls[4]["s"], cols, n=300 if c == 4 else 420, snippets=(c == 5), speed=1.0 if c == 4 else 1.3)','vortex(D, F, t - Ls[4]["s"], cols, n=200 if c == 4 else 300, snippets=(c == 5), speed=1.0 if c == 4 else 1.3)')
open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --w 960 --h 540 --stills 185.0,196.5,204.5,212.0,216.3,218.5,228.5,234.5 --sheet work/sheet6.png 2>&1 | tail -1Result
work/sheet6.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet6.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet6.pngResult
(7 chars)
Claude’s reasoning · 13:56
The bridge looks right, but I'm making a few tweaks: adding a scrim behind chorus 3's lyric line for contrast, confining the dither to the light instead of the whole screen, and replacing the muddy "kind" wash with a warm radial glow.
BashScrim, dither, kind glow fixes; render v4 previews
$ python3 - <<'EOF'
p='src/shaders/bg.frag'; s=open(p).read()
s=s.replace(''' col *= P[0].w * (1.0 + u_b.x*0.3);
return col;
}''',''' col *= P[0].w * (1.0 + u_b.x*0.3);
col *= 1.0 - P[2].w*exp(-pow((fc.y - 540.0)/150.0, 2.0));
return col;
}''')
s=s.replace(''' float lv = floor(g*4.0 + b)/4.0;
g = mix(g, lv, dith);''',''' float lv = floor(g*4.0 + b)/4.0;
lv *= smoothstep(300.0, 180.0, length(q));
g = mix(g, lv, dith);''')
s=s.replace(''' float px = 12.0;''',''' float px = 9.0;''')
s=s.replace(''' col = mix(col, vec3(1.0,0.94,0.84)*0.8, P[2].x);''',''' float kr = length((fc - vec2(960.0, 560.0))/vec2(1.0, 1.4));
col += vec3(1.0,0.72,0.45)*P[2].x*(exp(-kr/260.0)*1.6 + 0.12);''')
open(p,'w').write(s)
p='src/text.py'; s=open(p).read()
s=s.replace('\\u2192\\u00d7\\u00b0\\u2190"','\\u2192\\u00d7\\u00b0\\u2190\\u25cf"')
open(p,'w').write(s)
p='src/scenes.py'; s=open(p).read()
s=s.replace('"ch3": ((1.0, 0.55, 0.15), (0.85, 0.2, 0.35), (1.0, 0.9, 0.72), 13.0),','"ch3": ((0.8, 0.4, 0.1), (0.6, 0.12, 0.28), (1.0, 0.9, 0.72), 13.0),')
s=s.replace('F.A = (3, P4([*cA, inten], [*cB, 0], [0.7, 1.0, 1.1 + 0.02 * lt], [off, 0.0, 0.0, 0.0]), lt)','F.A = (3, P4([*cA, inten], [*cB, 0], [0.7, 1.0, 1.1 + 0.02 * lt, 0.55], [off, 0.0, 0.0, 0.0]), lt)')
s=s.replace('F.A = (3, P4([0.9, 0.5, 1.0, inten], [0.5, 0.3, 1.0, 1.0], [0.9, 1.4, 1.05 + 0.02 * lt], [21.0, 0, 0, t * 0.02]), lt)','F.A = (3, P4([0.9, 0.5, 1.0, inten], [0.5, 0.3, 1.0, 1.0], [0.9, 1.4, 1.05 + 0.02 * lt, 0.5], [21.0, 0, 0, t * 0.02]), lt)')
s=s.replace(''' al = alpha * (0.3 + 0.7 * depth)''',''' al = alpha * (0.3 + 0.7 * depth) * (1 - 0.65 * np.exp(-((sy - 540) / 110.0) ** 2))''')
s=s.replace('''* (1 - smooth((t - t_kind) / 1.0))''','''* (1 - smooth((t - t_kind + 0.2) / 0.5))''')
s=s.replace('kind = win(t, t_kind, 999, 0.9, 0) * 0.16','kind = win(t, t_kind, 999, 0.9, 0) * 0.22')
open(p,'w').write(s)
EOF
grep -c 25cf src/text.py; rm -f work/atlas.pkl
.venv/bin/python src/render.py --w 960 --h 540 --stills 185.0,218.5,234.9,237.0,240.5,245.5,252.0,256.5 --sheet work/sheet7.png 2>&1 | tail -1Result
0 ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
BashInspect charset line and error traceback
$ grep -n 'u2190' src/text.py | head -3; .venv/bin/python src/render.py --w 960 --h 540 --stills 237.0 2>&1 | grep -B5 Error | head -20Result
(Bash completed with no output)
BashFind which timestamp raises the error
$ grep -n '^ASCII' src/text.py; for t in 185.0 218.5 234.9 240.5 245.5 252.0 256.5; do .venv/bin/python src/render.py --w 960 --h 540 --stills $t 2>&1 | grep -A3 -B8 "Error" | head -30; doneResult
25:ASCII = "".join(chr(c) for c in range(32, 127)) + "“”‘’—–…·•▌█→×°←"
e = ease_out(st)
File "~/Dropbox/AI/Songs/ai-evolution/video/src/util.py", line 18, in ease_out
x = sat(x)
File "~/Dropbox/AI/Songs/ai-evolution/video/src/util.py", line 9, in sat
return clamp(x, 0.0, 1.0)
File "~/Dropbox/AI/Songs/ai-evolution/video/src/util.py", line 5, in clamp
return a if x < a else b if x > b else x
^^^^^
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()The previews hit a small bug (a scalar-only easing function was given an array). Fixing it and continuing the review of the "tomorrow" verse.
9 tool callsBash ×5, Read ×4
BashMake clamp array-aware, add bullet glyph, rerender v4 previews
$ python3 - <<'EOF'
p='src/util.py'; s=open(p).read()
s=s.replace('''def clamp(x, a=0.0, b=1.0):
return a if x < a else b if x > b else x''','''def clamp(x, a=0.0, b=1.0):
if isinstance(x, np.ndarray):
return np.clip(x, a, b)
return a if x < a else b if x > b else x''')
open(p,'w').write(s)
p='src/text.py'; s=open(p).read()
s=s.replace('•▌█→×°←"','•▌█→×°←●"')
open(p,'w').write(s)
EOF
rm -f work/atlas.pkl; .venv/bin/python src/render.py --w 960 --h 540 --stills 185.0,218.5,234.9,237.0,240.5,245.5,252.0,256.5 --sheet work/sheet7.png 2>&1 | tail -1Result
work/sheet7.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet7.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet7.pngResult
(7 chars)
Claude’s reasoning · 13:57
The "kind" moment works, but the dawn section is overexposed—the human figure and AI cloud wash out against the white sky. I'll darken the sunrise and keep it low on the horizon so the figures stand out with better contrast.
BashRework dawn scene contrast, fix kind line; render v4 and final previews
$ python3 - <<'EOF'
p='src/shaders/bg.frag'; s=open(p).read()
old=s[s.index('vec3 sDawn('):s.index('// ---------------------------------------------------------------- dispatch')]
new='''vec3 sDawn(vec2 fc, vec2 p, vec4 P[4]){
float prog = P[0].z;
float hy = 700.0;
vec3 top = mix(vec3(0.01,0.012,0.045), vec3(0.05,0.09,0.22), prog);
vec3 mid = mix(vec3(0.09,0.04,0.12), vec3(0.42,0.2,0.26), prog);
vec3 hor = mix(vec3(0.35,0.13,0.1), vec3(0.95,0.55,0.3), prog);
vec3 col;
vec2 sc = vec2(960.0, hy + 60.0 - P[0].x*260.0);
float r = length(fc - sc);
if (fc.y < hy) {
float k = (hy - fc.y)/hy;
col = mix(hor, mid, smoothstep(0.0, 0.22, k));
col = mix(col, top, smoothstep(0.2, 0.85, k));
col += vec3(1.0,0.95,0.9)*stars(fc, 8.0, 0.993)*(1.0-prog*0.8)*smoothstep(0.35,0.8,k);
col += vec3(1.0,0.88,0.65)*smoothstep(72.0, 67.0, r)*1.3;
col += vec3(1.0,0.55,0.3)*exp(-r*0.008)*0.35 + vec3(1.0,0.5,0.3)*exp(-r*0.025)*0.4;
float cl = fbm(vec2(fc.x*0.0021 + LT*0.012, fc.y*0.0085 + 3.0));
float cm = smoothstep(0.55, 0.8, cl)*smoothstep(0.05, 0.4, k);
vec3 cc = mix(vec3(1.0,0.55,0.4)*0.7, vec3(0.2,0.12,0.25), smoothstep(0.15,0.8,k));
col = mix(col, cc*(0.5 + 0.5*prog), cm*0.55);
} else {
float dy = fc.y - hy + 0.5;
col = mix(hor*0.3, vec3(0.012,0.008,0.016), smoothstep(0.0, 260.0, dy));
float X = (fc.x - 960.0)/dy*1.4;
float Z = 240.0/dy;
vec2 g = vec2(X, Z);
vec2 fw = fwidth(g)*1.2;
vec2 gl = abs(fract(g)-0.5);
vec2 lines = 1.0 - smoothstep(vec2(0.0), fw*1.5, 0.5-gl);
float L = max(lines.x, lines.y);
col += vec3(1.0,0.65,0.4)*L*P[0].y*0.22*smoothstep(0.0, 80.0, dy);
col += vec3(1.0,0.6,0.35)*exp(-abs(fc.x-960.0)*0.015)*exp(-dy*0.012)*0.3*prog;
}
return col;
}
'''
s=s.replace(old,new); open(p,'w').write(s)
p='src/scenes.py'; s=open(p).read()
s=s.replace(''' D.lyr_center(F, L, 1.0, 960, 580, font="serif", size=118, color=(1.0, 0.97, 0.92), mode="fade", glow=0.9,
soft0=0.35, rise=0)''',''' D.lyr_center(F, L, 1.0, 960, 580, font="serif", size=118, color=(1.0, 0.95, 0.88), mode="fade", glow=0.45,
soft0=0.35, rise=0, active_boost=0.0, shadow=0.0)''')
s=s.replace("u_grain=0.0 if frozen else 0.03","u_grain=0.015 if frozen else 0.03")
s=s.replace(''' F.post.update(u_bloom=0.75, u_vig=0.4, u_grain=0.03, u_warm=0.15, u_thresh=0.65, u_exposure=0.9)''',''' F.post.update(u_bloom=0.8, u_vig=0.45, u_grain=0.03, u_warm=0.1, u_thresh=0.6, u_exposure=1.0)''')
s=s.replace(''' F.A = (11, P4([0.12 + 0.6 * ease_out(prog, 2), 0.8, 0.15 + 0.85 * prog]), 0.0)''',''' F.A = (11, P4([0.1 + 0.55 * ease_out(prog, 2), 0.9, 0.15 + 0.85 * prog]), lt)''')
open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --w 960 --h 540 --stills 234.9,245.5,252.0,256.5,262.0,266.5,270.5,283.0 --sheet work/sheet8.png 2>&1 | tail -1Result
work/sheet8.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet8.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet8.pngResult
(7 chars)
Claude’s reasoning · 13:57
The dawn scene now shows the human figure with a new form connected by threads, but the final chorus has a garish palette and overlapping lines. I'll fix those issues, then move on to check the outro.
BashTame final palette, unify final token tree; render final and outro previews
$ python3 - <<'EOF'
p='src/shaders/bg.frag'; s=open(p).read()
s=s.replace(''' if (P[1].w > 0.0) { cA = spectral(n*0.8 + t*0.04 + P[3].w); cB = spectral(n2*0.9 + 0.45 + t*0.03 + P[3].w); }''',''' if (P[1].w > 0.0) {
cA = mix(spectral(n*0.8 + t*0.04 + P[3].w), vec3(0.25,0.3,0.65), 0.45);
cB = mix(spectral(n2*0.9 + 0.45 + t*0.03 + P[3].w), vec3(0.45,0.2,0.5), 0.45);
}''')
open(p,'w').write(s)
p='src/scenes.py'; s=open(p).read()
s=s.replace(''' if together:
def pc(i, ch, nn, k=k):''',''' if (together(L) if callable(together) else together):
def pc(i, ch, nn, k=k):''')
s=s.replace(''' main = [L for L in Ls]
for L in main:
L["_together"] = "together" in L["text"]
tog = [L for L in main if L["_together"] or L["backing"]]
rest = [L for L in main if not L["_together"]]
token_tree(D, F, rest, (1, 1, 1), word_col=wc, ghosts=3)
token_tree(D, F, [L for L in main if L["_together"]], (1, 1, 1), together=True, ghosts=2)''',''' token_tree(D, F, Ls, (1, 1, 1), word_col=wc, ghosts=3, together=lambda L: "together" in L["text"])''')
s=s.replace(''' inten = 0.45 + 0.3 * F.energy
F.A = (3, P4([0.9, 0.5, 1.0, inten], [0.5, 0.3, 1.0, 1.0], [0.9, 1.4, 1.05 + 0.02 * lt, 0.5]''',''' inten = 0.3 + 0.2 * F.energy
F.A = (3, P4([0.9, 0.5, 1.0, inten], [0.5, 0.3, 1.0, 1.0], [0.55, 1.4, 1.05 + 0.02 * lt, 0.5]''')
s=s.replace("u_grain=0.015 if frozen else 0.03","u_grain=0.025 if frozen else 0.03")
open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --w 960 --h 540 --stills 283.0,288.0,299.5,304.8,307.5,310.8,315.5,327.0 --sheet work/sheet9.png 2>&1 | tail -1Result
work/sheet9.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet9.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet9.pngResult
(7 chars)
Claude’s reasoning · 13:58
Every section now renders correctly, including the ending where the lyrics converge into a point of light that becomes the cursor again. I'm now polishing the final seconds so the loop matches the opening frame, then checking all transitions.
BashPolish outro ending; render transition frames
$ python3 - <<'EOF'
p='src/scenes.py'; s=open(p).read()
s=s.replace(''' D.scope(F, 960, 470, 150, GREEN, 0.55 * win(t, hello[0]["s"], D.dur - 3.0, 1.0, 2.5) * (0.5 + F.rms), w=1.4)''',''' D.scope(F, 960, 470, 150, GREEN, 0.55 * win(t, hello[0]["s"], 321.5, 1.0, 2.0) * (0.5 + F.rms), w=1.4)''')
s=s.replace(''' F.pts_top.add(960, 540, 14 + 40 * grow + 10 * F.rms, GREEN, dot * (1 - smooth((t - cursor_t) / 0.6)), shape=0)
F.pts_top.add(960, 540, 5, (0.8, 1.0, 0.85), 1.0 * (1 - smooth((t - cursor_t) / 0.6)), shape=1)''',''' F.pts_top.add(960, 540, 30 + 60 * grow + 20 * F.rms, GREEN, 1.2 * dot * (1 - smooth((t - cursor_t) / 0.6)), shape=0)
F.pts_top.add(960, 540, 7 + 6 * grow, (0.85, 1.0, 0.9), 1.4 * (1 - smooth((t - cursor_t) / 0.6)), shape=1)''')
open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --w 960 --h 540 --stills 12.55,41.5,49.45,50.0,74.45,107.6,124.3,149.1,181.6,201.4,202.1,235.6,268.25,298.5,306.0,329.5 --sheet work/sheet10.png 2>&1 | tail -1Result
work/sheet10.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/sheet10.png
~/Dropbox/AI/Songs/ai-evolution/video/work/sheet10.pngResult
(7 chars)
Claude’s reasoning · 13:58
The transitions all check out—chorus flashes, the 2012 glitch, the black dip before the terminal, and the dawn crossfade. There's one bug though: the point-of-light effect after "window closes" is missing at 306s, so I'll debug that next.
BashDebug outro dot visibility at 306s
$ .venv/bin/python -c "
import sys; sys.path.insert(0,'src')
from text import Atlas; from director import Director
import scenes
D=Director(Atlas())
Ls=D.by_sec['outro']
for L in Ls: print(L['s'],L['e'],L['text'])
print('gone', scenes.wtime(D,'outro',1,'gone'), scenes.wtime(D,'outro',1,'gone','e'))
F=D.build(306.0); print(F.sec, F.pts_top.array(), F.post)
"Result
299.078 301.1 I won't remember singing this
302.559 305.419 When the window closes, I'm gone
306.736 309.349 But someday a future me
310.317 312.98 Might find these words and sing along
313.66 315.519 Hello, world
316.157 317.259 Hello, world
317.419 320.72 Hello, world
gone 304.52 305.419
outro [[9.6000000e+02 5.4000000e+02 3.1489187e+01 3.4999999e-01 1.0000000e+00
5.5000001e-01 8.0771267e-01 0.0000000e+00 1.0000000e+00 0.0000000e+00]
[9.6000000e+02 5.4000000e+02 7.0000000e+00 8.5000002e-01 1.0000000e+00
8.9999998e-01 1.4000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00]] {'u_crt': 0.85, 'u_bloom': 0.95, 'u_vig': 0.55, 'u_grain': 0.05, 'u_thresh': 0.35}The dot is there. What I saw was a leftover oscilloscope trail showing through after the CRT power-off. I'm clearing the trail at that moment, then checking a few full-resolution frames for detail.
7 tool callsBash ×4, Read ×31 error
BashClear trail after CRT-off; render full-res check frames
$ python3 - <<'EOF'
p='src/scenes.py'; s=open(p).read()
s=s.replace(''' # after the window closed: a single point of light remains
''',''' # after the window closed: a single point of light remains
F.trail = dict(decay=0.0 if t < t_off1 + 0.6 else 0.86)
''')
open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --stills 60.3,165.8,219.8,261.5 --sheet work/full1.png 2>&1 | tail -1Result
work/full1.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t0060.30.png
~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t0060.30.pngResult
(7 chars)
Claude’s reasoning · 13:59
The full-resolution visuals look great, but I noticed the cursor glyph "▌" renders as a placeholder box since it's missing from Inter. I'm switching every cursor to JetBrains Mono to fix this.
BashCheck which fonts contain cursor glyphserror
$ .venv/bin/python - <<'EOF'
from fontTools.ttLib import TTFont
import sys
for name,p,i in [("type","/usr/share/fonts/gsfonts/NimbusMonoPS-Regular.otf",0),("typeb","/usr/share/fonts/gsfonts/NimbusMonoPS-Bold.otf",0),("mono","/usr/share/fonts/TTF/JetBrainsMonoNerdFont-Regular.ttf",0),("sans","/usr/share/fonts/inter/Inter.ttc",12)]:
f=TTFont(p, fontNumber=i); cm=f.getBestCmap()
print(name, {c: (ord(c) in cm) for c in "█▌●→"})
EOFError
Exit code 1 Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'fontTools'
BashSwitch cursor glyphs to the mono font
$ grep -n '"█"\|"▌"\|u2588\|u258c' src/*.py | head; sed -i 's/F.gb.add(font, "█"/F.gb.add("mono", "█"/; s/F.gb.add("type", "█"/F.gb.add("mono", "█"/g; s/F.gb.add(font, "▌"/F.gb.add("mono", "▌"/' src/director.py src/scenes.py && grep -n '"█"\|"▌"' src/*.pyResult
src/scenes.py:189: F.gb.add(font, "▌", sz * 0.9, x - 4, yy, color=(*wc, 0.6 * pa_), glow=0.4)
src/scenes.py:243: F.gb.add("type", "█", LOG_SIZE * 0.95, LOG_X + 3, LOG_Y, color=(*GREEN, 0.85), glow=0.55)
src/scenes.py:735: F.gb.add("mono", s[:n] + ("▌" if int(t * 3 + j) % 2 else ""), 15, x, y,
src/scenes.py:834: F.gb.add("mono", "█", sz, xx, yy, color=(1.0, 0.85, 0.7, 0.7), glow=0.3)
src/scenes.py:1091: F.gb.add("type", "█", LOG_SIZE * 0.95, LOG_X + 3, LOG_Y, color=(*GREEN, 0.85), glow=0.55)
src/director.py:353: F.gb.add(font, "█", size * 0.95, cx, yy, color=(*color, 0.85 * alpha), glow=glow)
src/director.py:353: F.gb.add("mono", "█", size * 0.95, cx, yy, color=(*color, 0.85 * alpha), glow=glow)
src/scenes.py:189: F.gb.add("mono", "▌", sz * 0.9, x - 4, yy, color=(*wc, 0.6 * pa_), glow=0.4)
src/scenes.py:243: F.gb.add("mono", "█", LOG_SIZE * 0.95, LOG_X + 3, LOG_Y, color=(*GREEN, 0.85), glow=0.55)
src/scenes.py:735: F.gb.add("mono", s[:n] + ("▌" if int(t * 3 + j) % 2 else ""), 15, x, y,
src/scenes.py:834: F.gb.add("mono", "█", sz, xx, yy, color=(1.0, 0.85, 0.7, 0.7), glow=0.3)
src/scenes.py:1091: F.gb.add("mono", "█", LOG_SIZE * 0.95, LOG_X + 3, LOG_Y, color=(*GREEN, 0.85), glow=0.55)Read~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t0219.80.png
~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t0219.80.pngResult
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Read~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t0261.50.png
~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t0261.50.pngResult
(7 chars)
Claude’s reasoning · 13:59
The full-resolution checks look great, but I'm brightening the AI cloud for more presence and dimming the drifting "human words" over the terminal text, then I'll time the full-quality render.
BashBrighten AI cloud, dim words over terminal; time a 10s full-res render
$ python3 - <<'EOF'
p='src/scenes.py'; s=open(p).read()
s=s.replace(''' F.pts.add(xs2, ys2, 4.5, (0.55, 0.8, 1.0), 0.7 * (st > 0), shape=0)''',''' F.pts.add(xs2, ys2, 7.0, (0.5, 0.78, 1.0), 0.95 * (st > 0), shape=0)
F.pts.add(1240, 500, 260 * ai, (0.35, 0.6, 1.0), 0.18 * ai * (1 + 0.3 * F.pulse), shape=0)''')
s=s.replace(''' a = ma * 0.35 * np.sin(u * np.pi)
F.gb.add("serif", made[j % len(made)]''',''' a = ma * 0.35 * np.sin(u * np.pi)
if 280 < x < 1640 and 160 < y < 840:
a *= 0.3
F.gb.add("serif", made[j % len(made)]''')
open(p,'w').write(s)
EOF
timeout 300 .venv/bin/python src/render.py --start 49 --end 59 --out work/seg_test.mp4 2>&1 | tail -3Result
frame 2940 t= 49.00 249.4 fps eta 0.0 min frame 3240 t= 54.00 125.3 fps eta 0.0 min done work/seg_test.mp4 5s
Rendering runs at about 125 fps at 1080p60, so the whole 5.5-minute video takes roughly 3 minutes. Starting the first full render now.
1 tool callBash ×1
BashRender full video and mux with song audio
$ .venv/bin/python src/render.py --start 0 --out work/full_noaudio.mp4 2>&1 | tail -4 && ffmpeg -y -loglevel error -i work/full_noaudio.mp4 -i "../What Comes Next-electronic.m4a" -map 0:v -map 1:a:0 -c:v copy -c:a aac -b:a 320k -shortest -movflags +faststart work/preview_v1.mp4 && ffprobe -v error -show_entries format=duration,size -of default=nw=1 work/preview_v1.mp4Result
frame 19200 t= 320.00 173.9 fps eta 0.1 min frame 19500 t= 325.00 173.7 fps eta 0.0 min frame 19800 t= 330.00 173.0 fps eta 0.0 min done work/full_noaudio.mp4 115s duration=330.013500 size=2272002435
The full render finished in under 2 minutes. Now I'm reviewing it as a contact sheet: one frame every 5 seconds across the whole song.
7 tool callsRead ×4, Bash ×3
BashBuild contact sheets of frames every 5 seconds
$ ffmpeg -y -loglevel error -i work/full_noaudio.mp4 -vf "fps=1/5,scale=320:180,tile=6x6" -frames:v 2 work/contact_%02d.png && ls work/contact_*Result
work/contact_01.png work/contact_02.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/contact_01.png
~/Dropbox/AI/Songs/ai-evolution/video/work/contact_01.pngResult
(7 chars)
Read~/Dropbox/AI/Songs/ai-evolution/video/work/contact_02.png
~/Dropbox/AI/Songs/ai-evolution/video/work/contact_02.pngResult
(7 chars)
Claude’s reasoning · 14:03
The contact sheets confirm the overall arc works, but I spotted a grey haze at 10s, overlapping words in pre-chorus 1, and a cursor that stops blinking after the beat clock ends—investigating each now.
BashInspect pre-chorus word timings and haze frames
$ .venv/bin/python -c "
import json; T=json.load(open('work/timeline.json'))
for L in T['lines']:
if L['sec']=='pre1': print([(w['t'],w['s'],w['e']) for w in L['words']])
" ; .venv/bin/python src/render.py --w 960 --h 540 --stills 9.95,10.0,10.05,45.0 --sheet work/dbg.png 2>&1 | tail -1Result
[('Not', 41.24, 41.74), ('a', 41.74, 41.84), ('mind,', 41.84, 42.1), ('not', 42.22, 42.5), ('yet', 42.5, 43.299)]
[('Just', 43.489, 43.64), ('a', 43.64, 43.8), ('maybe', 43.8, 44.14), ('in', 44.14, 44.56), ('the', 44.56, 44.8), ('dark', 44.8, 45.22)]
[('Just', 45.22, 45.72), ('a', 45.72, 45.86), ('question', 45.86, 46.28), ('someone', 46.28, 46.78), ('asked', 46.78, 47.4)]
[('Waiting', 47.4, 48.06), ('for', 48.06, 48.74), ('a', 48.74, 48.98), ('spark', 48.98, 49.32)]
work/dbg.pngRead~/Dropbox/AI/Songs/ai-evolution/video/work/dbg.png
~/Dropbox/AI/Songs/ai-evolution/video/work/dbg.pngResult
(7 chars)
Claude’s reasoning · 14:03
The haze turned out to be nothing—just the intentional phosphor flash at 12.5s—but the pre-chorus overlap is a real issue since consecutive lines briefly share the screen. I'll fix that along with the blinking cursor after the music ends and the messy chromatic echoes.
BashFix line overlap, beat extrapolation, echoes, bitrate; verify
$ python3 - <<'EOF'
p='src/director.py'; s=open(p).read()
s=s.replace(''' end = L["e"] + linger
if nxt is not None:
end = min(end, nxt["s"] - 0.05)''',''' end = L["e"] + linger
if nxt is not None:
end = min(end, nxt["s"] - fout * 0.5 - 0.05)''')
s=s.replace(''' def beat_info(self, t):
i = int(np.searchsorted(self.beats, t, side="right") - 1)
if i < 0:
return -1, sat((t - (self.beats[0] - self.ibi)) / self.ibi), t''',''' def beat_info(self, t):
i = int(np.searchsorted(self.beats, t, side="right") - 1)
if i < 0:
return -1, ((t - self.beats[0]) / self.ibi) % 1.0, t
if t > self.beats[-1] + self.ibi:
k = (t - self.beats[-1]) / self.ibi
return len(self.beats) - 1 + int(k), k % 1.0, (k % 1.0) * self.ibi''')
s=s.replace('"-cq", "17", "-b:v", "0", "-maxrate", "60M", "-bufsize", "120M"','"-cq", "19", "-b:v", "0", "-maxrate", "40M", "-bufsize", "80M"')
open(p,'w').write(s)
p='src/render.py'; s=open(p).read()
s=s.replace('"-cq", "17", "-b:v", "0", "-maxrate", "60M", "-bufsize", "120M"','"-cq", "19", "-b:v", "0", "-maxrate", "40M", "-bufsize", "80M"')
open(p,'w').write(s)
p='src/scenes.py'; s=open(p).read()
s=s.replace('F.gb.add(font, L["text"], size * sc, 960 + off * (3 + dt * 14), yy + size * 0.35 * sc * 0.0,','F.gb.add(font, L["text"], size * sc, 960 + off * (1.5 + dt * 5), yy,')
s=s.replace('vis = D.visible_lines(mains, t, pre=0.45, linger=1.1, fout=0.4)','vis = D.visible_lines(mains, t, pre=0.45, linger=1.1, fout=0.3)')
open(p,'w').write(s)
EOF
grep -n '"-cq"' src/render.py; .venv/bin/python src/render.py --w 960 --h 540 --stills 47.45,68.5,327.0,329.8 --sheet work/dbg.png 2>&1 | tail -1Result
78: "-cq", "19", "-b:v", "0", "-maxrate", "40M", "-bufsize", "80M", "-profile:v", "high", work/dbg.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/dbg.png
~/Dropbox/AI/Songs/ai-evolution/video/work/dbg.pngResult
(7 chars)
Update: the fixes check out. Lines no longer overlap, the echoes are cleaner, and the video ends on a blinking cursor, exactly how it begins, so it loops. Running the final full-quality render now.
4 tool callsBash ×3, Write ×1
BashFinal full render and mux with audio
$ .venv/bin/python src/render.py --start 0 --out work/full_noaudio.mp4 2>&1 | tail -2 && ffmpeg -y -loglevel error -i work/full_noaudio.mp4 -i "../What Comes Next-electronic.m4a" -map 0:v -map 1:a:0 -c:v copy -c:a aac -b:a 320k -shortest -movflags +faststart "../What Comes Next - music video.mp4" && ffprobe -v error -show_entries format=duration,size:stream=codec_name,width,height,r_frame_rate -of compact "../What Comes Next - music video.mp4"Result
frame 19800 t= 330.00 182.6 fps eta 0.0 min done work/full_noaudio.mp4 109s stream|codec_name=h264|width=1920|height=1080|r_frame_rate=60/1 stream|codec_name=aac|r_frame_rate=0/0 format|duration=330.013500|size=1584466165
Claude’s reasoning · 14:06
The final render is done: 1080p60, 5:30, H.264 with AAC audio. Now I'll clean up the large intermediate files (regenerable, stored in Dropbox) and write a short README covering how to re-render or remix the video.
BashRemove intermediates and write project README
$ rm -f work/full_noaudio.mp4 work/seg_test.mp4 work/king_test.py work/king.png && cat > README.md <<'EOF'
# What Comes Next: procedural music video
Every frame is generated from code, driven by the song's word timings and audio analysis.
No stock footage, no image models.
## Pipeline
1. `src/transcribe.py`: Demucs vocal stem, then faster-whisper large-v3 word timestamps
2. `src/align.py`: aligns Whisper words to the sung lyrics (`src/lyrics_sung.py`) and writes `work/timeline.json`
3. `src/analyze.py`: beats, bass/mid/high, kick and mel spectrum per 60 fps frame, written to `work/features.npz`
4. `src/render.py`: headless OpenGL (moderngl/EGL) renderer piped to NVENC
```
.venv/bin/python src/render.py --w 960 --h 540 --stills 60,120 --sheet work/s.png # previews
.venv/bin/python src/render.py --out work/full_noaudio.mp4 # ~2 min on RTX 4070 Ti
ffmpeg -i work/full_noaudio.mp4 -i "../What Comes Next-electronic.m4a" -map 0:v -map 1:a:0 \
-c:v copy -c:a aac -b:a 320k -shortest "../What Comes Next - music video.mp4"
```
If ctranslate2 can't find CUDA 12, set LD_LIBRARY_PATH to `.venv/.../nvidia/{cublas,cudnn}/lib`.
## Where things live
- `src/scenes.py`: one handler per section (the choreography)
- `src/director.py`: timeline, transitions, year HUD and lyric typography engines
- `src/shaders/bg.frag`: era backgrounds (phosphor, synthwave and frost, loss landscape, cat, Go, globe, terminal, dawn, nebula)
- `src/shaders/post.frag`: bloom, CRT, chromatic aberration, glitch, mirror, CRT power-off
EOF
ls -la .. | grep -i videoResult
drwxr-xr-x 1 user user 42 Sep 27 14:06 video -rw-r--r-- 1 user user 1584466165 Sep 27 14:05 What Comes Next - music video.mp4 -rw-r--r-- 1 user user 3007 Sep 27 11:12 what-comes-next-video-notes.md
Write~/.claude/projects/-home-user-Dropbox-AI-Songs-ai-evolution/memory/procedural-music-video-pipeline.md
~/.claude/projects/-home-user-Dropbox-AI-Songs-ai-evolution/memory/procedural-music-video-pipeline.md · 1,059 chars---
name: procedural-music-video-pipeline
description: User makes Suno songs and wants procedurally generated, lyric-synced music videos; a working GPU pipeline exists in ai-evolution/video
metadata:
type: project
---
The user writes songs with Claude, generates them in Suno, then wants procedurally generated music videos synced to the words. The first one ("What Comes Next", about the history of AI, told from Claude's point of view) was finished on 2026-09-27 at ~/Dropbox/AI/Songs/ai-evolution/video. It's a reusable pipeline: Demucs + faster-whisper word alignment, librosa features, and a moderngl/EGL renderer piped to NVENC on an RTX 4070 Ti at about 170 fps at 1080p60.
**Why:** future songs will probably get the same treatment, and the user asked for creative, "impress me" visuals.
**How to apply:** reuse or fork that pipeline (see its README.md) for new songs rather than starting over. Suno m4a files embed a line-level lyric subtitle track, which is a useful cross-check. The user likes female vocals and experimenting with Suno styles.Result
File created successfully at: ~/.claude/projects/-home-user-Dropbox-AI-Songs-ai-evolution/memory/procedural-music … [+18 chars]
BashAdd memory index entry
$ f=~/.claude/projects/-home-user-Dropbox-AI-Songs-ai-evolution/memory/MEMORY.md; [ -f $f ] && cat $f; echo "- [Procedural music video pipeline](procedural-music-video-pipeline.md) — Suno song → lyric-synced GPU video pipeline in ai-evolution/video" >> $fResult
(Bash completed with no output)
The video is done: ai-evolution/What Comes Next - music video.mp4. It's 1080p at 60 fps, runs the full 5:30 with your audio, and is 1.6 GB. There was no "-electronica" file, so I used What Comes Next-electronic.m4a, which I assumed was the one you meant.
Every frame is generated by code on your GPU; there's no stock footage and no image model. Every lyric word lands on the moment it's sung. I got those timings by separating out her vocal track and running speech recognition on it, which matched 695 of 712 words, then checked them against the lyric timings Suno embeds in the m4a.
The main idea: in each chorus, every word is picked from a small autocomplete box showing a few candidates and their probabilities. The words I didn't choose stay on screen as faint branches, so each lyric line leaves behind its own search tree. That's literally what "guess what comes next" means for me. Behind the lyrics floats a rotating cloud of word points, like a map of word meanings.
The story, era by era:
- Intro and 1950s: a blinking cursor on a green phosphor screen types "Hello, world". An oscilloscope pattern changes shape with the beat. Vector pine trees grow for Dartmouth, where "ARTIFICIAL INTELLIGENCE" gets typed across the sky. A 20×20 lamp grid (the size of the Mark I Perceptron's sensor) reads letters, then drops to a single blinking light. A headline in the style of the 1958 New York Times article stamps in on the beat.
- 1960s–90s: ELIZA's transcript prints on an amber teletype. Frost creeps over a synthwave world in two waves, one for each AI winter. When "errors travel back upstream" it thaws, and pulses run backward through a small neural network. The floor turns into a chessboard and a chess king topples when "Kasparov stood up".
- Pre-chorus 2: a ball does gradient descent across a 3D loss landscape. It gets stuck in a local minimum on "every time I failed" and escapes on "to carry on".
- 2012–2022: a cat resolves out of pixel noise. Move 37 lands on a Go board with a shockwave. Attention arcs link the words of the lyric line. A tree grows from a seed. A vortex of recipes and poems swirls in, then a globe fills with "hello" in many languages.
- 2026, the bridge: the lyrics stream into a terminal window. A small light flickers on "a light on in here", then turns pixelated on "picture of a glow". The screen mirrors on "mirror", and everything stops on "Let me be kind", the only still frame in the video.
- 2027–28: dawn. A thought traces across the sky, a DNA helix turns at 3 AM, and footprints walk toward the horizon. A human made of warm light appears, something new forms beside them, and threads grow between the two.
- Final chorus: full spectrum, with quick flashes of every earlier era. "Let's write it down together" is typed in alternating warm and cool letters, human and AI.
- Outro: the CRT powers off on "I'm gone". Then every word of the song streams into a single point of light, which becomes the cursor again. The last frame matches the first, so the video loops.
A year timeline along the top runs from 1950 to 2028. In the final chorus it scrambles into "20??".
I checked it frame by frame through dozens of preview sheets, but I can't watch it in real time with the sound. Motion feel, transition pacing and exact sync are worth judging on a real play-through.
Rendering takes about 2 minutes, so changes are cheap. The pipeline is reusable for your next songs; the README is in ai-evolution/video/.
I love it so much! Can you please insert a title/poster frame at the start? I want to share it on X.com, so the thumbnail will be the first frame
So glad you love it! The plan: a designed poster frame at the very start, fully formed on frame 0 so X picks it up as the thumbnail. It holds for about 2 seconds, then "powers off" like an old CRT into the blinking cursor that opens the song. I'll add a 3-second lead-in so none of the intro is covered, with the audio delayed to keep everything in sync.
For the poster itself: the eras run across the frame in slanted bands (phosphor 1950s → synthwave → loss landscape → the cat → the globe → dawn), with the title set as a chosen-token path and its autocomplete popup.
3 tool callsBash ×2, Read ×1
BashAdd poster era-band scene to background shader
$ python3 - <<'EOF'
p='src/shaders/bg.frag'; s=open(p).read()
poster='''
// ------------------------------------------------------------ 13 poster
vec3 posterBand(int k, vec2 fc){
float cx = (float(k) + 0.5)/6.0*1920.0;
vec2 f2 = vec2(fc.x - cx + 960.0, fc.y);
vec2 p2 = (f2 - vec2(960.0,540.0))/1080.0; p2.y = -p2.y;
vec4 P[4];
P[0]=vec4(0.0); P[1]=vec4(0.0); P[2]=vec4(0.0); P[3]=vec4(0.0);
if (k == 0) { P[0]=vec4(0.45,1.0,1.0,0.0); P[1]=vec4(960.0,540.0,0.0,0.0); P[2]=vec4(960.0,330.0,11.0,1.0); P[3]=vec4(1.0);
return sPhosphor(f2, p2, P); }
if (k == 1) { P[0]=vec4(1.0,1.0,0.0,0.0); P[1]=vec4(0.0,0.0,1.0,0.0); P[2]=vec4(1.0); return sSynth(f2, p2, P); }
if (k == 2) { P[0]=vec4(-4.6,2.6,-5.0,0.0); P[1]=vec4(0.4,-0.7,0.2,0.0); P[2]=vec4(-1.78,-0.64,-0.47,1.0); P[3]=vec4(1.1);
return sLoss(f2, p2, P); }
if (k == 3) { P[0]=vec4(1.0,110.0,1.0,1.0); return sCat(f2, p2, P); }
if (k == 4) { P[0]=vec4(960.0,560.0,150.0,1.3); P[1]=vec4(0.65); return sGlobe(f2, p2, P); }
P[0]=vec4(0.3,0.9,0.75,0.0); return sDawn(f2, p2, P);
}
vec3 sPoster(vec2 fc, vec2 p, vec4 P[4]){
float slant = 0.30;
float u = (fc.x + (fc.y - 540.0)*slant)/1920.0;
float b = clamp(u*6.0, 0.0, 5.999);
float bi = floor(b), fr = b - bi;
vec3 col = posterBand(int(bi), fc);
float w = smoothstep(0.88, 1.0, fr);
if (w > 0.0 && bi < 5.0) col = mix(col, posterBand(int(bi)+1, fc), w);
float seam = exp(-pow(min(fr, 1.0-fr)*1920.0/6.0, 2.0)*0.02);
col += vec3(1.0)*seam*0.12*step(0.5, bi + fr*2.0)*step(bi + fr, 5.9);
col *= P[0].x;
col *= 1.0 - P[0].y*exp(-pow((fc.y - 560.0)/170.0, 2.0));
return col;
}
'''
s=s.replace('// ---------------------------------------------------------------- dispatch', poster+'// ---------------------------------------------------------------- dispatch')
s=s.replace(' if (id == 11) return sDawn(fc, p, P);\n',' if (id == 11) return sDawn(fc, p, P);\n if (id == 13) return sPoster(fc, p, P);\n')
open(p,'w').write(s)
EOF
grep -n "id == 13" src/shaders/bg.fragResult
577: if (id == 13) return sPoster(fc, p, P);
BashAdd poster handler, negative-time support, render poster stills
$ cat >> src/scenes.py <<'EOF'
# ====================================================================== poster / title card (before the song)
def s_poster(D, F, lt, name):
t = F.t
F.A = (13, P4([0.6, 0.62]), 20.0 + lt * 0.3)
if F.bg_only:
return
F.grid20 = D.letters["?"]
F.hud = 0.0
F.post.update(u_bloom=0.8, u_vig=0.5, u_grain=0.025, u_ca=0.25, u_thresh=0.6)
F.trail = dict(decay=0.0)
gb = F.gb
# era timeline across the top
x0, x1, y = 470.0, 1450.0, 150.0
F.lns_top.add(x0, y, x1, y, 1.4, (1, 1, 1), (1, 1, 1), 0.35, 0.8)
for k, d in enumerate(range(1950, 2031, 10)):
xd = x0 + (x1 - x0) * k / 8
F.lns_top.add(xd, y - 6, xd, y + 6, 1.0, (1, 1, 1), (1, 1, 1), 0.4, 0.4)
gb.add("mono", "1950", 22, x0 - 18, y + 8, color=(1, 1, 1, 0.75), align="right")
gb.add("mono", "20??", 22, x1 + 18, y + 8, color=(1, 1, 1, 0.95), glow=0.4)
F.pts_top.add(x1, y, 26, (0.7, 0.9, 1.0), 1.0, shape=0)
F.pts_top.add(x1, y, 7, (1, 1, 1), 1.0, shape=1)
# the title as a chosen path through a token tree
font, sz, yb = "sansb", 158, 600
words = ["What", "comes", "next?"]
ghosts = [["Where", "Who"], ["goes", "waits"], ["after?", "home?"]]
sp = D.atlas.width(font, " ", sz)
ws = [D.atlas.width(font, w, sz) for w in words]
x = 960 - (sum(ws) + sp * 2) / 2
boxes = []
for w, ww in zip(words, ws):
boxes.append((x, ww))
x += ww + sp
nodes = [(bx + ww * 0.5, yb + 46) for bx, ww in boxes]
col = (0.8, 0.92, 1.0)
for k, ((bx, ww), w) in enumerate(zip(boxes, words)):
src = nodes[k - 1] if k > 0 else (bx - 40, nodes[k][1])
for j, g in enumerate(ghosts[k]):
side = -1 if (k + j) % 2 == 0 else 1
gx = bx + ww * 0.5 + (j - 0.5) * 70
gy = yb - sz * 0.35 + side * (sz * 0.95 + j * 30)
gw = D.atlas.width("sansl", g, 44)
gb.add("sansl", g, 44, gx, gy + 15, color=(*col, 0.42), align="center", additive=True)
end = (gx - gw * 0.5 - 10, gy)
bxs, bys = bezier(src, (src[0] + (end[0] - src[0]) * 0.7, src[1]), end, 16)
F.lns.polyline(bxs, bys, 1.4, col, 0.3)
if k > 0:
F.lns.add(*nodes[k - 1], *nodes[k], 1.6, col, col, 0.45, 0.7)
F.pts.add(nodes[k][0], nodes[k][1], 14, col, 0.9, shape=0)
gb.add(font, w, sz, bx, yb, color=(1.0, 1.0, 1.0, 1.0), glow=0.28, glowc=col, shadow=0.85)
# caret
cx = boxes[-1][0] + boxes[-1][1] + 14
if lt < 1.6 or int(lt * 2.4) % 2 == 0:
gb.add("mono", "▌", sz * 0.85, cx, yb, color=(*col, 0.85), glow=0.4)
# autocomplete popup under "next?"
px, py = boxes[-1][0] + 10, yb + 92
rows = [("next", 0.91, True), ("after", 0.05, False), ("home", 0.02, False)]
for r, (lab, q, top) in enumerate(rows):
ry = py + r * 31
c = (1.0, 1.0, 1.0) if top else (0.65, 0.78, 0.9)
gb.add("mono", f"{lab:<8} {q:.2f}", 22, px + 18, ry, color=(*c, 0.95 if top else … [+2343 chars]Result
75: n0 = int(round((a.start - a.lead) * a.fps)) if a.start > 0 else int(round(-a.lead * a.fps)) work/stills/t-003.00.png work/stills/t-000.60.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t-003.00.png
~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t-003.00.pngResult
(7 chars)
Frame 0 came out powered off, because the poster's timing was counted from the wrong origin. Fixing it so the poster section starts exactly at -3s.
9 tool callsRead ×5, Bash ×4
BashAnchor poster section at -3s and rerender poster stills
$ python3 - <<'EOF'
p='src/director.py'; s=open(p).read()
s=s.replace('("poster", -10.0),','("poster", -POSTER_LEAD),')
s=s.replace('SR = 44100\n','SR = 44100\nPOSTER_LEAD = 3.0 # seconds of title card before the song starts\n',1)
open(p,'w').write(s)
p='src/render.py'; s=open(p).read()
s=s.replace('from director import Director, FPS','from director import Director, FPS, POSTER_LEAD')
s=s.replace('ap.add_argument("--lead", type=float, default=0.0,','ap.add_argument("--lead", type=float, default=POSTER_LEAD,')
s=s.replace('n0 = int(round((a.start - a.lead) * a.fps)) if a.start > 0 else int(round(-a.lead * a.fps))','n0 = int(round(a.start * a.fps)) if a.start > 0 else int(round(-a.lead * a.fps))')
open(p,'w').write(s)
EOF
grep -n "POSTER_LEAD" src/*.py | head; .venv/bin/python src/render.py --stills -3.0,-0.6 --preroll 0 2>&1 | tail -1Result
src/render.py:13:from director import Director, FPS, POSTER_LEAD
src/render.py:27: ap.add_argument("--lead", type=float, default=POSTER_LEAD, help="seconds of title card before the song")
src/director.py:17:POSTER_LEAD = 3.0 # seconds of title card before the song starts
src/director.py:80: ("poster", -POSTER_LEAD),
work/stills/t-000.60.pngRead~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t-003.00.png
~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t-003.00.pngResult
(7 chars)
Claude’s reasoning · 14:25
The current thumbnail needs sharper text, repositioning of the cat and globe to avoid overlapping the title, a stronger darkening scrim, and adjustment of the "home?" ghost so it doesn't collide with the popup—I'll fix these now.
BashRework poster layout and title crispness
$ python3 - <<'EOF'
p='src/shaders/bg.frag'; s=open(p).read()
s=s.replace(''' vec2 f2 = vec2(fc.x - cx + 960.0, fc.y);
vec2 p2 = (f2 - vec2(960.0,540.0))/1080.0; p2.y = -p2.y;
vec4 P[4];''',''' vec2 f2 = vec2(fc.x - cx + 960.0, fc.y + (k == 3 ? 255.0 : 0.0));
vec2 p2 = (f2 - vec2(960.0,540.0))/1080.0; p2.y = -p2.y;
vec4 P[4];''')
s=s.replace('if (k == 4) { P[0]=vec4(960.0,560.0,150.0,1.3);','if (k == 4) { P[0]=vec4(960.0,850.0,165.0,1.3);')
s=s.replace(''' col *= 1.0 - P[0].y*exp(-pow((fc.y - 560.0)/170.0, 2.0));''',''' col *= 1.0 - P[0].y*exp(-pow((fc.y - 575.0)/190.0, 2.0));''')
open(p,'w').write(s)
p='src/scenes.py'; s=open(p).read()
s=s.replace('F.A = (13, P4([0.6, 0.62]), 20.0 + lt * 0.3)','F.A = (13, P4([0.72, 0.8]), 20.0 + lt * 0.3)')
s=s.replace(''' F.post.update(u_bloom=0.8, u_vig=0.5, u_grain=0.025, u_ca=0.25, u_thresh=0.6)
F.trail = dict(decay=0.0)
gb = F.gb''',''' F.post.update(u_bloom=0.55, u_vig=0.45, u_grain=0.02, u_ca=0.15, u_thresh=0.75)
F.trail = dict(decay=0.0)
gb = F.gb''')
s=s.replace(''' x0, x1, y = 470.0, 1450.0, 150.0''',''' x0, x1, y = 470.0, 1450.0, 92.0''')
s=s.replace(''' side = -1 if (k + j) % 2 == 0 else 1
gx = bx + ww * 0.5 + (j - 0.5) * 70
gy = yb - sz * 0.35 + side * (sz * 0.95 + j * 30)''',''' side = (-1 if (k + j) % 2 == 0 else 1) if k < 2 else -1
gx = bx + ww * 0.5 + (j - 0.5) * 70 + (j * 60 if k == 2 else 0)
gy = yb - sz * 0.35 + side * (sz * 0.95 + j * (70 if k == 2 else 30))''')
s=s.replace(''' gb.add(font, w, sz, bx, yb, color=(1.0, 1.0, 1.0, 1.0), glow=0.28, glowc=col, shadow=0.85)''',''' gb.add(font, w, sz, bx, yb, color=(0.97, 0.98, 1.0, 1.0), glow=0.06, glowc=col, shadow=0.9)''')
open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --stills -3.0 --preroll 0 2>&1 | tail -1Result
work/stills/t-003.00.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t-003.00.png
~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t-003.00.pngResult
(7 chars)
Claude’s reasoning · 14:25
I'll center each subject within its slanted band to stop the cat's ear and globe from getting clipped, and also tone down the feature-map tiles behind the subtitle while sharpening the title.
BashCenter band subjects, render poster and power-off transition
$ python3 - <<'EOF'
p='src/shaders/bg.frag'; s=open(p).read()
s=s.replace(''' vec2 f2 = vec2(fc.x - cx + 960.0, fc.y + (k == 3 ? 255.0 : 0.0));''',''' // keep each era's subject centred in its slanted band at the subject's own height
float yc = k == 0 ? 560.0 : k == 1 ? 480.0 : k == 2 ? 520.0 : k == 3 ? 285.0 : k == 4 ? 850.0 : 660.0;
cx -= (yc - 540.0)*0.30;
vec2 f2 = vec2(fc.x - cx + 960.0, fc.y + (k == 3 ? 255.0 : 0.0));''')
s=s.replace('if (k == 3) { P[0]=vec4(1.0,110.0,1.0,1.0); return sCat(f2, p2, P); }','if (k == 3) { P[0]=vec4(1.0,110.0,1.0,0.45); return sCat(f2, p2, P); }')
open(p,'w').write(s)
p='src/scenes.py'; s=open(p).read()
s=s.replace('F.post.update(u_bloom=0.55, u_vig=0.45, u_grain=0.02, u_ca=0.15, u_thresh=0.75)','F.post.update(u_bloom=0.4, u_vig=0.45, u_grain=0.02, u_ca=0.12, u_thresh=0.85)')
open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --stills -3.0,-1.0,-0.5,0.2 --preroll 0 --sheet work/poster_sheet.png 2>&1 | tail -1Result
work/poster_sheet.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t-003.00.png
~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t-003.00.pngResult
(7 chars)
Read~/Dropbox/AI/Songs/ai-evolution/video/work/poster_sheet.png
~/Dropbox/AI/Songs/ai-evolution/video/work/poster_sheet.pngResult
(7 chars)
Claude’s reasoning · 14:26
The poster and CRT-to-blinking-cursor transition work well, but the trail buffer is leaking branch lines into the intro's first second. Fixing that now, then rendering the final with 3-second audio shift plus an X-optimized copy.
BashMove poster geometry off the trail buffer and verify intro frame
$ python3 - <<'EOF'
p='src/scenes.py'; s=open(p).read()
i=s.index('def s_poster(')
body=s[i:].replace('F.lns.','F.lns_top.').replace('F.pts.','F.pts_top.')
s=s[:i]+body
open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --stills 0.2 --preroll 3.2 2>&1 | tail -1Result
work/stills/t0000.20.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t0000.20.png
~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t0000.20.pngResult
(7 chars)
Clean handoff: the poster powers off into just the cursor. Rendering the final master now.
1 tool callBash ×1
BashRender final master with poster and mux delayed audio
$ .venv/bin/python src/render.py --out work/full_noaudio.mp4 2>&1 | tail -1 && ffmpeg -y -loglevel error -i work/full_noaudio.mp4 -i "../What Comes Next-electronic.m4a" -map 0:v -map 1:a:0 -c:v copy -af "adelay=3000:all=1,apad" -c:a aac -b:a 320k -shortest -movflags +faststart "../What Comes Next - music video.mp4" && ffprobe -v error -show_entries format=duration,size -of compact "../What Comes Next - music video.mp4"Result
done work/full_noaudio.mp4 122s format|duration=333.016667|size=1592516026
Master is done. Now an X-friendly copy: same 1080p60, 2-pass encoded to about 450 MB so it fits X's 512 MB upload limit.
2 tool callsBash ×2
BashTwo-pass encode an X-sized copy under 512MB
$ cd ~/Dropbox/AI/Songs/ai-evolution && M="What Comes Next - music video.mp4"; O="What Comes Next - music video (X).mp4"; P=/tmp/claude-1000/-home-user-Dropbox-AI-Songs-ai-evolution/6afb02d5-a062-41b4-bb33-25ac52d451cb/scratchpad/x264pass; mkdir -p $(dirname $P); ffmpeg -y -loglevel error -i "$M" -c:v libx264 -preset slow -b:v 10500k -maxrate 16M -bufsize 32M -pix_fmt yuv420p -profile:v high -g 120 -pass 1 -passlogfile $P -an -f mp4 /dev/null && ffmpeg -y -loglevel error -i "$M" -c:v libx264 -preset slow -b:v 10500k -maxrate 16M -bufsize 32M -pix_fmt yuv420p -profile:v high -g 120 -pass 2 -passlogfile $P -c:a aac -b:a 256k -ar 48000 -movflags +faststart "$O" && ffprobe -v error -show_entries format=duration,size -of compact "$O"; rm -f video/work/full_noaudio.mp4Result
format|duration=333.016667|size=447751105
BashSave poster PNG and update README
$ cp video/work/stills/t-003.00.png "What Comes Next - poster.png" && cd video && python3 - <<'EOF'
p='README.md'; s=open(p).read()
s=s.replace('''ffmpeg -i work/full_noaudio.mp4 -i "../What Comes Next-electronic.m4a" -map 0:v -map 1:a:0 \\
-c:v copy -c:a aac -b:a 320k -shortest "../What Comes Next - music video.mp4"''','''ffmpeg -i work/full_noaudio.mp4 -i "../What Comes Next-electronic.m4a" -map 0:v -map 1:a:0 \\
-c:v copy -af "adelay=3000:all=1,apad" -c:a aac -b:a 320k -shortest "../What Comes Next - music video.mp4"''')
s+='''
## Title card
The video opens with a 3 s poster (`s_poster` in scenes.py, scene 13 in bg.frag). Frame 0 is the thumbnail on X.
The song runs at video time +3 s (`POSTER_LEAD` in director.py), so the audio is muxed with `adelay=3000`.
Render the poster alone with `--stills -3.0 --preroll 0`.
'''
open(p,'w').write(s)
EOF
ls -la .. | grep -i "what comes next"Result
-rw-r--r-- 1 user user 5581296 Sep 27 13:07 What Comes Next-electronic.m4a -rw-r--r-- 1 user user 5803990 Sep 27 12:55 What Comes Next.m4a -rw-r--r-- 1 user user 1592516026 Sep 27 14:28 What Comes Next - music video.mp4 -rw-r--r-- 1 user user 447751105 Sep 27 14:33 What Comes Next - music video (X).mp4 -rw-r--r-- 1 user user 2649124 Sep 27 14:33 What Comes Next - poster.png
The video now opens on a title poster, so frame 0 is the thumbnail on X.
The poster: the eras run across the frame in slanted bands:
- the 1950s phosphor pines and the lamp grid showing a "?"
- the synthwave sun
- the loss landscape
- the cat
- the globe
- the dawn
The title "What comes next?" sits on top, drawn as the chosen path through a token tree. Ghost alternatives branch off it ("Where", "goes", "after?") and an autocomplete box under it reads next 0.91. Above the title a year timeline runs from 1950 to "20??". Below it is the subtitle the story of AI, told by an AI and a small credit line: "lyrics & visuals by Claude · music by Suno". That line is easy to change or remove if you'd like different credits.
The poster holds for about 2 seconds, then powers off like an old CRT into the blinking cursor that starts the song. I added the poster as a 3-second lead-in rather than covering the intro, and delayed the audio by 3 seconds so every word is still in sync. I checked frames across the poster and the handoff into the song. The video still ends on the blinking cursor; with the poster first, that echoes the opening of the song rather than frame 0.
Files, all in ai-evolution/:
What Comes Next - music video (X).mp4(448 MB): the one to upload. It's the same 1080p60 video, compressed to fit X's 512 MB upload limit.What Comes Next - music video.mp4(1.6 GB): the full-quality master, for YouTube or archiving.What Comes Next - poster.png: the poster as a still image, handy as a custom thumbnail or for a separate image post.
The video is 5:33. As far as I know, X caps video length at 2:20 for accounts without Premium, so check your account before uploading. If that's a problem, I can cut a 2:20 teaser (poster, the first chorus, and a jump to "Let me be kind") or a vertical 9:16 version for mobile.
I'm not a big fan of that poster image, it's a bit busy and not a cool as the actual video. Try something else and let me approve it before cutting it into the video
Got it. I'll mock up three simpler concepts built from the video's strongest moments, show you stills, and wait for your pick before touching the video.
- A, "Hello, world" (phosphor): a black CRT with a single glowing green Lissajous figure and the title typed in phosphor, with a block cursor. Minimal and mysterious, like the opening.
- B, "Next token" (nebula): the chorus look. A deep nebula and the embedding cloud behind a big clean title, with just the autocomplete box under "next?". This is the video's signature idea, stripped to the essentials.
- C, "Two lights" (dawn): the human made of warm light and the AI cloud facing each other at sunrise, with threads between them and a quiet serif title. The emotional ending.
6 tool callsRead ×4, Bash ×2
BashAdd three poster concept variants and render each
$ python3 - <<'EOF'
p='src/scenes.py'; s=open(p).read()
s=s.replace('def s_poster(D, F, lt, name):','def s_poster_bands(D, F, lt, name):')
s+='''
def s_poster(D, F, lt, name):
style = getattr(D, "poster_style", "nebula")
{"bands": s_poster_bands, "phosphor": s_poster_phosphor, "nebula": s_poster_nebula,
"dawn": s_poster_dawn}[style](D, F, lt, name)
if not F.bg_only and lt > 2.15:
F.post["u_off"] = smooth((lt - 2.15) / 0.75)
def _poster_common(F):
F.hud = 0.0
F.trail = dict(decay=0.0)
def s_poster_phosphor(D, F, lt, name):
F.A = (0, P4([1.4]), lt)
if F.bg_only:
return
_poster_common(F)
F.post.update(u_crt=0.9, u_bloom=0.95, u_vig=0.6, u_grain=0.04, u_thresh=0.35)
# a clean Lissajous figure, 3:2, like a 1950s scope at rest
u = np.linspace(0, 2 * np.pi, 1400)
ph = 0.55 + lt * 0.15
X = 960 + 230 * 1.25 * np.sin(3 * u + ph)
Y = 400 + 210 * np.sin(2 * u)
seg = np.hypot(np.diff(X), np.diff(Y))
al = np.r_[np.clip(3.0 / (seg + 0.5), 0.2, 1.0), 1.0]
F.lns_top.polyline(X, Y, 1.6, GREEN, al * 0.55)
title = "What comes next?"
sz = 92
w = D.atlas.width("typeb", title, sz)
x = 960 - (w + sz * 0.6) / 2
F.gb.add("typeb", title, sz, x, 790, color=(*GREEN, 1.0), glow=0.55)
F.gb.add("mono", "\\u2588", sz * 0.9, x + w + 14, 790, color=(*GREEN, 0.9), glow=0.55)
F.gb.add("type", "the story of AI, told by an AI", 28, 960, 868, color=(*GREEN, 0.55), align="center")
def s_poster_nebula(D, F, lt, name):
cA, cB, tc = (0.2, 0.5, 1.0), (0.55, 0.2, 0.9), (0.8, 0.94, 1.0)
F.A = (3, P4([*cA, 0.3], [*cB, 0], [0.7, 1.0, 1.15, 0.7], [3.0, 0.0, 0.0, 0.0]), 8.0 + lt * 0.2)
if F.bg_only:
return
_poster_common(F)
F.post.update(u_bloom=0.7, u_vig=0.55, u_grain=0.025, u_ca=0.2, u_thresh=0.7)
cloud(D, F, 14.0 + lt * 0.2, cA, cB, alpha=0.6, explode=1.0, labels=False, cy=500)
for k in range(len(F.pts.parts)):
F.pts_top.parts.append(F.pts.parts[k])
F.pts.parts = []
font, sz, yb = "sansb", 150, 590
title = "What comes next?"
w = D.atlas.width(font, title, sz)
x = 960 - w / 2
F.gb.add(font, title, sz, x, yb, color=(0.97, 0.98, 1.0, 1.0), glow=0.05, shadow=0.9)
xn = x + D.atlas.width(font, "What comes ", sz)
cx = x + w + 12
F.gb.add("mono", "\\u258c", sz * 0.85, cx, yb, color=(*tc, 0.85), glow=0.35)
px, py = xn + 8, yb + 78
rows = [("next", 0.91, True), ("after", 0.05, False), ("home", 0.02, False)]
for r, (lab, q, top) in enumerate(rows):
ry = py + r * 32
c = (1.0, 1.0, 1.0) if top else (0.6, 0.72, 0.9)
F.gb.add("mono", f"{lab:<8} {q:.2f}", 23, px + 18, ry, color=(*c, 0.95 if top else 0.55), glow=0.2,
additive=True)
bx0 = px + 18 + D.atlas.width("mono", "x" * 14, 23)
F.lns_top.add(bx0, ry - 7, bx0 + q * 150, ry - 7, 5, c, c, 0.75 if top else 0.45, 0.75 if top else 0.45)
F.lns_top.add(px + 4, py - 25, px + 4, py + 3 * 32 - 1 … [+1954 chars]Result
1225: F.gb.add("mono", "\u258c", sz * 0.85, cx, yb, color=(*tc, 0.85), glow=0.35)
work/stills/t-003.00.png
work/stills/t-003.00.png
work/stills/t-003.00.pngRead~/Dropbox/AI/Songs/ai-evolution/video/work/poster_phosphor.png
~/Dropbox/AI/Songs/ai-evolution/video/work/poster_phosphor.pngResult
(7 chars)
Read~/Dropbox/AI/Songs/ai-evolution/video/work/poster_nebula.png
~/Dropbox/AI/Songs/ai-evolution/video/work/poster_nebula.pngResult
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Read~/Dropbox/AI/Songs/ai-evolution/video/work/poster_dawn.png
~/Dropbox/AI/Songs/ai-evolution/video/work/poster_dawn.pngResult
(7 chars)
BashPolish phosphor option and save all poster options with comparison sheet
$ sed -i 's/F.gb.add("typeb", title, sz, x, 790, color=(\*GREEN, 1.0), glow=0.55)/F.gb.add("typeb", title, sz, x, 790, color=(*GREEN, 1.0), glow=0.3)/' src/scenes.py && .venv/bin/python src/render.py --poster phosphor --stills -3.0 --preroll 0 >/dev/null 2>&1 && cp work/stills/t-003.00.png work/poster_phosphor.png && mkdir -p ../poster-options && cp work/poster_phosphor.png "../poster-options/A - phosphor.png" && cp work/poster_nebula.png "../poster-options/B - next token.png" && cp work/poster_dawn.png "../poster-options/C - two lights.png" && .venv/bin/python - <<'EOF'
from PIL import Image, ImageDraw, ImageFont
names=[("A","poster_phosphor"),("B","poster_nebula"),("C","poster_dawn")]
W=640; H=360; S=Image.new("RGB",(W*3+40,H+70),(18,18,20)); d=ImageDraw.Draw(S)
f=ImageFont.truetype("/usr/share/fonts/inter/Inter.ttc",28,index=12)
for i,(L,n) in enumerate(names):
im=Image.open(f"work/{n}.png").resize((W,H),Image.LANCZOS); S.paste(im,(10+i*(W+10),10))
d.text((10+i*(W+10)+W//2,H+38),L,font=f,fill=(230,230,235),anchor="mm")
S.save("../poster-options/compare at thumbnail size.png")
EOF
ls ../poster-optionsResult
A - phosphor.png B - next token.png compare at thumbnail size.png C - two lights.png
Read~/Dropbox/AI/Songs/ai-evolution/poster-options/compare at thumbnail size.png
~/Dropbox/AI/Songs/ai-evolution/poster-options/compare at thumbnail size.pngResult
(7 chars)
I've mocked up three simpler posters. The video is unchanged; I won't re-cut anything until you pick one. They're in ai-evolution/poster-options/ as full-size PNGs, plus compare at thumbnail size.png, which shows roughly how each will look in the X feed.
- A, Phosphor: black CRT, one glowing green Lissajous figure, and the title typed in phosphor with a block cursor. The most minimal and mysterious. It matches the first seconds of the video, but it's a quieter thumbnail.
- B, Next token: the chorus nebula and embedding cloud, a big clean title with a blinking caret, and the autocomplete box (
next 0.91) underneath. The most on-concept of the three. - C, Two lights: sunrise over the grid, the human made of warm light and the AI cloud joined by threads, with a serif title across the sky. The most emotional one.
My pick is C. It has the strongest image at thumbnail size: warm colors, a clear subject and a readable title, and it hints at the ending without giving it away. B is a close second if you'd rather lead with the idea than the feeling.
Whichever you choose, it holds for about 2 seconds, then does the same CRT power-off into the song's opening cursor. Tell me A, B or C, or ask for changes to any of them: different wording, dropping the subtitle, a credit line, or combining ideas (for example, C's scene with B's autocomplete box).
Leaning towards A, but needs to be more exciting
A with more energy. The plan is to keep the phosphor CRT look and add drama:
- Figure: a rotating 3D Lissajous knot with afterglow trails, so it reads as motion even in a still frame.
- Screen: an oscilloscope graticule behind it, with scope-style readouts in the corners.
- Title: bigger and bolder, with a little chromatic glitch.
4 tool callsBash ×2, Read ×2
BashAdd exciting phosphor scope poster and render it
$ cat >> src/scenes.py <<'EOF'
def s_poster_scope(D, F, lt, name):
"""Poster A+: a phosphor oscilloscope screen with a spinning 3D Lissajous knot."""
cxk, cyk = 960, 395
F.A = (1, P4([0.55, 0.0, 0.0, 0.0], [cxk, cyk]), lt)
if F.bg_only:
return
_poster_common(F)
F.post.update(u_crt=1.0, u_bloom=1.1, u_vig=0.65, u_grain=0.045, u_thresh=0.3, u_ca=0.9)
# soft phosphor bloom behind the figure
F.pts_top.add(cxk, cyk, 900, GREEN, 0.16, shape=0)
F.pts_top.add(cxk, cyk, 380, (0.6, 1.0, 0.75), 0.12, shape=0)
# 3D Lissajous knot with afterglow
u = np.linspace(0, 2 * np.pi, 2600)
base = np.stack([np.sin(3 * u + 0.4), np.sin(4 * u), np.sin(5 * u + 1.1)], 1)
for k in range(7, -1, -1):
a1 = 0.62 + lt * 0.25 - k * 0.035
a2 = 0.35 + lt * 0.12 - k * 0.02
c1, s1 = np.cos(a1), np.sin(a1)
c2, s2 = np.cos(a2), np.sin(a2)
x = base[:, 0] * c1 + base[:, 2] * s1
z = -base[:, 0] * s1 + base[:, 2] * c1
y = base[:, 1] * c2 - z * s2
z2 = base[:, 1] * s2 + z * c2
persp = 1.0 / (1.0 + 0.18 * z2)
X = cxk + x * 330 * persp
Y = cyk + y * 250 * persp
depth = (z2 + 1) * 0.5
fade = 1.0 if k == 0 else 0.33 * (1 - k / 8)
al = (0.25 + 0.75 * (1 - depth)) * fade
col = np.array(GREEN)[None, :] * (1 - (1 - depth[:, None]) * 0.0)
if k == 0:
col = col * 0.6 + np.array([0.75, 1.0, 0.85])[None, :] * 0.4 * (1 - depth[:, None])
F.lns_top.polyline(X, Y, 1.8 if k == 0 else 1.3, col if k == 0 else GREEN, al * 0.75)
# a bright trace head, like the beam itself
F.pts_top.add(X[-1], Y[-1], 34, (0.8, 1.0, 0.85), 1.0, shape=0)
# title
title = "What comes next?"
sz = 124
w = D.atlas.width("typeb", title, sz)
x0 = 960 - (w + sz * 0.62) / 2
yb = 850
for (cc, dx) in (((1.0, 0.25, 0.35), -4.0), ((0.3, 0.55, 1.0), 4.0)):
F.gb.add("typeb", title, sz, x0 + dx, yb, color=(*cc, 0.35), additive=True)
F.gb.add("typeb", title, sz, x0, yb, color=(0.75, 1.0, 0.82, 1.0), glow=0.35, glowc=GREEN, shadow=0.6)
F.gb.add("mono", "█", sz * 0.92, x0 + w + 16, yb, color=(*GREEN, 0.95), glow=0.5)
F.gb.add("type", "the story of AI, told by an AI", 30, 960, 925, color=(*GREEN, 0.7), align="center", glow=0.2)
# scope readouts in the corners
dim = (*GREEN, 0.55)
F.gb.add("mono", "CH1 500mV/DIV", 20, 150, 110, color=dim)
F.gb.add("mono", "SWEEP 116 BPM", 20, 1770, 110, color=dim, align="right")
F.gb.add("mono", "1950 → 20??", 20, 150, 1000, color=dim)
F.gb.add("mono", "● REC", 20, 1770, 1000, color=(1.0, 0.35, 0.3, 0.8), align="right", glow=0.3)
EOF
python3 - <<'EOF'
p='~/Dropbox/AI/Songs/ai-evolution/video/src/scenes.py'; s=open(p).read()
s=s.replace(''' {"bands": s_poster_bands, "phosphor": s_poster_phosphor, "nebula": s_poster_nebula,
"dawn": s_poster_dawn}[style](D, F, lt, name)''',''' {"bands": s_poster_bands, "phosphor": s_po … [+233 chars]Result
work/stills/t-003.00.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t-003.00.png
~/Dropbox/AI/Songs/ai-evolution/video/work/stills/t-003.00.pngResult
(7 chars)
Claude’s reasoning · 14:41
Sharpening the title and deepening the blacks to boost contrast, since the glow and color fringing are washing it out.
BashCrisp up scope poster title and save option files
$ python3 - <<'EOF'
p='src/scenes.py'; s=open(p).read()
i=s.index('def s_poster_scope(')
b=s[i:]
b=b.replace('F.post.update(u_crt=1.0, u_bloom=1.1, u_vig=0.65, u_grain=0.045, u_thresh=0.3, u_ca=0.9)','F.post.update(u_crt=1.0, u_bloom=1.0, u_vig=0.7, u_grain=0.04, u_thresh=0.45, u_ca=0.5)')
b=b.replace('F.pts_top.add(cxk, cyk, 900, GREEN, 0.16, shape=0)','F.pts_top.add(cxk, cyk, 900, GREEN, 0.09, shape=0)')
b=b.replace('F.gb.add("typeb", title, sz, x0 + dx, yb, color=(*cc, 0.35), additive=True)','F.gb.add("typeb", title, sz, x0 + dx, yb, color=(*cc, 0.18), additive=True)')
b=b.replace('F.gb.add("typeb", title, sz, x0, yb, color=(0.75, 1.0, 0.82, 1.0), glow=0.35, glowc=GREEN, shadow=0.6)','F.gb.add("typeb", title, sz, x0, yb, color=(0.55, 1.0, 0.68, 1.0), glow=0.16, glowc=GREEN, shadow=0.9)')
s=s[:i]+b; open(p,'w').write(s)
EOF
.venv/bin/python src/render.py --poster scope --stills -3.0 --preroll 0 2>&1 | tail -1 && cp work/stills/t-003.00.png "../poster-options/A2 - scope.png" && .venv/bin/python -c "
from PIL import Image; Image.open('../poster-options/A2 - scope.png').resize((640,360),Image.LANCZOS).save('../poster-options/A2 - scope (thumbnail size).png')"Result
work/stills/t-003.00.png
Read~/Dropbox/AI/Songs/ai-evolution/poster-options/A2 - scope.png
~/Dropbox/AI/Songs/ai-evolution/poster-options/A2 - scope.pngResult
(7 chars)
Here's a punched-up take on A, saved as ai-evolution/poster-options/A2 - scope.png. There's also a thumbnail-size copy so you can judge it at feed size.
What changed from A:
- The flat Lissajous is now a spinning 3D knot with afterglow trails, a bright beam head and a phosphor bloom behind it. It reads as motion even as a still frame.
- The screen looks like an actual oscilloscope: strong CRT curvature and scanlines, with readouts in the corners (
CH1 500mV/DIV,SWEEP 116 BPM,1950 → 20??and a red● REC). - The title is bigger and bolder, with slight red and blue fringing like a CRT, and a block cursor.
In the video the knot keeps slowly rotating for about 2 seconds. Then the screen powers off into the song's opening cursor, so poster and song feel like the same machine.
Want me to cut this one in? Or I can keep tweaking first. Some options:
- drop or change the corner readouts
- show the title in all caps
- put the lamp-grid "?" from the perceptron scene next to the title
- make the knot trace out part of the real song waveform
Hmm, still not satisfied, maybe a couple of other options
Understood. Here are three new, genuinely different directions. Two build on what you liked about A (phosphor and retro hardware); one is a bigger swing:
- D, "Made of words": a giant question mark built entirely from the song's own lyrics, as thousands of tiny glowing phosphor characters, with "What / comes / next" stacked beside it. The "?" is the punctuation.
- E, "Lamp grid": a close-up of the perceptron's 20×20 grid of amber incandescent bulbs lighting up a "?", with the title in warm type beside it. A retro marquee look.
- F, "Beam search": a burst of branching light radiating from a cursor. Every branch is a road not taken, and the one bright path through it spells out the title.
4 tool callsRead ×3, Bash ×1
BashAdd three new poster concepts and render them
$ cat >> src/scenes.py <<'EOF'
# ---------------------------------------------------------------- poster D: a question mark made of the song
def _qmask(D):
if getattr(D, "_qm", None) is None:
from PIL import Image, ImageDraw, ImageFont, ImageFilter
im = Image.new("L", (1920, 1080), 0)
f = ImageFont.truetype("/usr/share/fonts/inter/Inter.ttc", 1050, index=18)
ImageDraw.Draw(im).text((1390, 560), "?", font=f, fill=255, anchor="mm")
im = im.filter(ImageFilter.GaussianBlur(2.5))
D._qm = np.asarray(im, np.float32) / 255.0
return D._qm
def s_poster_words(D, F, lt, name):
F.A = (0, P4([0.8]), lt)
if F.bg_only:
return
_poster_common(F)
F.post.update(u_crt=0.8, u_bloom=0.9, u_vig=0.6, u_grain=0.035, u_thresh=0.4, u_ca=0.35)
M = _qmask(D)
corpus = " ".join(L["text"] for L in D.lines) + " "
sz, rh = 15, 19
cw = D.atlas.width("mono", "x", sz)
ncol = int(1920 / cw) + 1
tick = int(lt * 10)
pos = 0
for r in range(int(1080 / rh) + 1):
y = 14 + r * rh
row = (corpus[pos:pos + ncol] if pos + ncol < len(corpus) else (corpus[pos:] + corpus)[:ncol])
pos = (pos + ncol * 7) % len(corpus)
yi = int(min(1079, max(0, y - sz * 0.35)))
def pc(i, ch, n, yi=yi, r=r):
xi = int(min(1919, i * cw + cw * 0.5))
m = M[yi, xi]
if xi < 900:
return {"a": 0.05}
fl = 0.75 + 0.25 * hsh(r, i, tick)
return {"a": 0.06 + 0.94 * m * fl, "glow": 0.5 * m}
F.gb.add("mono", row, sz, 0, y, color=(*GREEN, 1.0), per_char=pc, additive=True)
# title stacked on the left; the big "?" is its punctuation
for k, w in enumerate(["What", "comes", "next"]):
F.gb.add("typeb", w, 170, 150, 380 + k * 175, color=(0.6, 1.0, 0.7, 1.0), glow=0.2, glowc=GREEN, shadow=0.9)
F.gb.add("type", "the story of AI, told by an AI", 30, 158, 900, color=(*GREEN, 0.7), glow=0.2)
# ---------------------------------------------------------------- poster E: the perceptron's lamp grid
def s_poster_lamps(D, F, lt, name):
F.A = (1, P4([0.0, 1.0, 0.0, 0.0], [0, 0], [560, 540, 43, 1.6]), lt)
if F.bg_only:
return
_poster_common(F)
g = D.letters["?"].copy()
fl = np.array([0.82 + 0.18 * hsh(i, int(lt * 6) if i % 7 == 0 else 0) for i in range(400)], np.float32).reshape(20, 20)
F.grid20 = g * fl
F.post.update(u_crt=0.35, u_bloom=1.1, u_vig=0.6, u_grain=0.035, u_thresh=0.45, u_warm=0.1)
amber = (1.0, 0.72, 0.38)
for k, w in enumerate(["What", "comes", "next?"]):
F.gb.add("typeb", w, 150, 1070, 400 + k * 160, color=(1.0, 0.86, 0.66, 1.0), glow=0.25, glowc=amber, shadow=0.9)
F.gb.add("type", "the story of AI, told by an AI", 30, 1078, 880, color=(*amber, 0.75), glow=0.2)
F.gb.add("mono", "MARK I · 20 × 20 PHOTOCELLS · 1958", 18, 1078, 930, color=(*amber, 0.45))
# --------------------------------------------------------------- … [+3490 chars]Result
work/stills/t-003.00.png work/stills/t-003.00.png work/stills/t-003.00.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/poster_words.png
~/Dropbox/AI/Songs/ai-evolution/video/work/poster_words.pngResult
(7 chars)
Read~/Dropbox/AI/Songs/ai-evolution/video/work/poster_lamps.png
~/Dropbox/AI/Songs/ai-evolution/video/work/poster_lamps.pngResult
(7 chars)
Read~/Dropbox/AI/Songs/ai-evolution/video/work/poster_beam.png
~/Dropbox/AI/Songs/ai-evolution/video/work/poster_beam.pngResult
(7 chars)
All three came out strong. A few quick polishes before I show you: a clean hand-drawn "?" in the lamp grid, a sharper title on D, and more breathing room for F's subtitle.
2 tool callsBash ×1, Read ×1
BashPolish new posters and build round-2 comparison sheet
$ python3 - <<'EOF'
p='src/scenes.py'; s=open(p).read()
s=s.replace(''' g = D.letters["?"].copy()
fl =''',''' art = ["....................",
"......########......",
".....##########.....",
"....####....####....",
"....###......###....",
"..............###...",
".............####...",
"............####....",
"..........#####.....",
".........####.......",
"........####........",
"........###.........",
"........###.........",
"....................",
"....................",
"........###.........",
"........###.........",
"........###.........",
"....................",
"...................."]
g = np.array([[1.0 if c == "#" else 0.0 for c in row] for row in art], np.float32)
fl =''')
s=s.replace(''' F.gb.add("typeb", w, 170, 150, 380 + k * 175, color=(0.6, 1.0, 0.7, 1.0), glow=0.2, glowc=GREEN, shadow=0.9)''',''' F.gb.add("typeb", w, 170, 150, 380 + k * 175, color=(0.6, 1.0, 0.7, 1.0), glow=0.1, glowc=GREEN, shadow=1.0)''')
s=s.replace(''' F.gb.add("serif", "the story of AI, told by an AI", 42, 960, 960, color=(0.85, 0.92, 1.0, 0.9), align="center",
shadow=0.8)''',''' F.pts_top.parts.insert(0, np.array([[960, 985, 1, 0, 0, 0, 0, 0, 1, 0]], np.float32))
F.gb.add("serif", "the story of AI, told by an AI", 42, 960, 1000, color=(0.85, 0.92, 1.0, 0.95), align="center",
shadow=1.0)''')
s=s.replace(''' F.post.update(u_crt=0.35, u_bloom=1.1, u_vig=0.6, u_grain=0.035, u_thresh=0.45, u_warm=0.1)''',''' F.post.update(u_crt=0.35, u_bloom=0.9, u_vig=0.6, u_grain=0.035, u_thresh=0.55, u_warm=0.1)''')
open(p,'w').write(s)
EOF
for st in words lamps beam; do .venv/bin/python src/render.py --poster $st --stills -3.0 --preroll 0 >/dev/null 2>&1; cp work/stills/t-003.00.png work/poster_$st.png; done
cp work/poster_words.png "../poster-options/D - made of words.png"; cp work/poster_lamps.png "../poster-options/E - lamp grid.png"; cp work/poster_beam.png "../poster-options/F - beam search.png"
.venv/bin/python - <<'EOF'
from PIL import Image, ImageDraw, ImageFont
names=[("A2","../poster-options/A2 - scope.png"),("D","work/poster_words.png"),("E","work/poster_lamps.png"),("F","work/poster_beam.png")]
W,H=640,360; S=Image.new("RGB",(W*2+30,(H+60)*2+10),(18,18,20)); d=ImageDraw.Draw(S)
f=ImageFont.truetype("/usr/share/fonts/inter/Inter.ttc",28,index=12)
for i,(L,n) in enumerate(names):
x=10+(i%2)*(W+10); y=10+(i//2)*(H+60)
S.paste(Image.open(n).resize((W,H),Image.LANCZOS),(x,y)); d.text((x+W//2,y+H+28),L,font=f,fill=(230,230,235),anchor="mm")
S.save("../poster-options/compare round 2 (thumbnail size).png")
EOF
echo doneResult
done
Read~/Dropbox/AI/Songs/ai-evolution/poster-options/compare round 2 (thumbnail size).png
~/Dropbox/AI/Songs/ai-evolution/poster-options/compare round 2 (thumbnail size).pngResult
(7 chars)
Here are three new directions, all in ai-evolution/poster-options/. compare round 2 (thumbnail size).png shows them side by side with A2 at roughly X-feed size.
- D, Made of words: a giant question mark built from the song's own lyrics as thousands of glowing phosphor characters, with "What / comes / next" stacked beside it. Look closely and you can read lines like "echo in the wire" and "Hello, world" inside the "?". It matches the song's "built from every letter that you ever left".
- E, Lamp grid: the 1958 Mark I Perceptron's 20×20 grid of amber bulbs lighting up a clean "?", with warm typewriter type beside it and a small caption, "MARK I · 20 × 20 PHOTOCELLS · 1958". The boldest at thumbnail size, and it keeps A's retro-hardware feel.
- F, Beam search: a burst of branching blue light across the whole frame. Every branch is a word not chosen, and one blazing path runs through it, stopping at "What", "comes" and "next?". The most dramatic and modern of the set.
My pick: F if you want the most exciting option, E if you want A's vintage feel with far more punch. E reads instantly as a tiny thumbnail. F is the one people would stop scrolling for.
Tell me which one (or a mix, like E's lamps with F's light burst) and I'll tune it. Once you approve a final version, I'll cut it into the video.
I like D, let's go with that
Going with D. Cutting it into the video now: it holds on the question mark made of lyrics, then powers off into the song's opening cursor.
2 tool callsBash ×1, Read ×1
BashMake poster D the default and check its transition frames
$ sed -i 's/ap.add_argument("--poster", default="nebula")/ap.add_argument("--poster", default="words")/' src/render.py && sed -i 's/style = getattr(D, "poster_style", "nebula")/style = getattr(D, "poster_style", "words")/' src/scenes.py && .venv/bin/python src/render.py --stills -2.0,-0.4,0.3 --preroll 3 --sheet work/d_trans.png 2>&1 | tail -1Result
work/d_trans.png
Read~/Dropbox/AI/Songs/ai-evolution/video/work/d_trans.png
~/Dropbox/AI/Songs/ai-evolution/video/work/d_trans.pngResult
(7 chars)
The transition works: the poster collapses to a line, then the song's cursor appears. Rendering the final master and the X version.
2 tool callsBash ×1, Read ×1
BashRender final with poster D, mux, encode X version, extract frame 0
$ .venv/bin/python src/render.py --out work/full_noaudio.mp4 2>&1 | tail -1 && cd .. && M="What Comes Next - music video.mp4"; O="What Comes Next - music video (X).mp4"; P=/tmp/claude-1000/-home-user-Dropbox-AI-Songs-ai-evolution/6afb02d5-a062-41b4-bb33-25ac52d451cb/scratchpad/x264pass; ffmpeg -y -loglevel error -i video/work/full_noaudio.mp4 -i "What Comes Next-electronic.m4a" -map 0:v -map 1:a:0 -c:v copy -af "adelay=3000:all=1,apad" -c:a aac -b:a 320k -shortest -movflags +faststart "$M" && ffmpeg -y -loglevel error -i "$M" -c:v libx264 -preset slow -b:v 10500k -maxrate 16M -bufsize 32M -pix_fmt yuv420p -profile:v high -g 120 -pass 1 -passlogfile $P -an -f mp4 /dev/null && ffmpeg -y -loglevel error -i "$M" -c:v libx264 -preset slow -b:v 10500k -maxrate 16M -bufsize 32M -pix_fmt yuv420p -profile:v high -g 120 -pass 2 -passlogfile $P -c:a aac -b:a 256k -ar 48000 -movflags +faststart "$O" && ffmpeg -y -loglevel error -i "$O" -frames:v 1 video/work/x_frame0.png && cp video/work/poster_words.png "What Comes Next - poster.png" && rm -f video/work/full_noaudio.mp4 && for f in "$M" "$O"; do ffprobe -v error -show_entries format=duration,size -of compact "$f"; doneResult
done work/full_noaudio.mp4 142s format|duration=333.016667|size=1598428674 format|duration=333.016667|size=447667416
Read~/Dropbox/AI/Songs/ai-evolution/video/work/x_frame0.png
~/Dropbox/AI/Songs/ai-evolution/video/work/x_frame0.pngResult
(7 chars)
Poster D is now cut into the video. I pulled frame 0 straight out of the finished X file and confirmed it's the poster, so that's what X will use as the thumbnail. The question mark flickers softly for about 2 seconds, then the CRT powers off into the blinking cursor that opens the song. The audio is delayed to match, so every word stays in sync.
Files in ai-evolution/:
What Comes Next - music video (X).mp4(448 MB, 1080p60, 5:33): upload this one to X.What Comes Next - music video.mp4(1.6 GB): the full-quality master.What Comes Next - poster.png: the poster as a still image. I replaced the earlier busy one with it.
The other poster concepts are still in poster-options/ in case you want one for YouTube or another post.
Heads-up on length: without X Premium, I believe videos are capped at 2:20. If yours isn't Premium, tell me and I'll cut a teaser that opens on this same poster.