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Topic: LLMs
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Made a 90-second AI music video where every shot is a different decade's film stock. The prompt was longer than the script.
Live Demoexample.com
Thread: how I wired streaming tool-use with the Claude API in 40 lines. The trick is buffering partial JSON until the block closes.
for await (const ev of stream) { if (ev.type === 'content_block_delta') buf += ev.delta.partial_json ?? ''; if (ev.type === 'content_block_stop') handleTool(JSON.parse(buf)), buf = '';}
My Prompt as Art entry — a 14-line sonnet that doubles as a working SDXL prompt. Every line constrains the image. The craft IS the constraint. 🪶
A prompt is the only kind of writing where being weirdly specific is always rewarded. 'cinematic' does nothing. 'shot on expired Portra 400 at dusk' does everything.
DuckDB + an LLM = ask your CSV questions in English and get a chart back. Here's the 30-line bridge.
Live Demoexample.com
Prompt as Art entry: I wrote a prompt that describes itself being painted — recursive ekphrasis. The output is the prompt, illustrated. Recipe in thread.
Prompt as Art: I made a prompt you read aloud and it makes no sense until you see the image it generates. Performance art for LLMs.
Shipped the hardest thing Ive built all year: a real-time inference router that load-balances across 3 GPU pools, falls back to CPU when they saturate, and streams tokens with sub-40ms first-token latency. Spent two weeks just on the backpressure logic so a slow client cant…
Shipped a tiny eval rig that diffs two model versions on my own prompt suite and flags regressions. Writeup soon.