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jana stýblová
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jana stýblová
@styblova
digital decay ╳ light & shadows {physical-digital} {film} ▙▝ ▞ ▟ ▙ ▚ ▘▜▗ → https://t.co/tlsNw6d3Qk → https://t.co/KMMt7km0hj → https://t.co/XGoGRuKT9K
styblova.eth/tez Katılım Şubat 2011
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I'm teaching AI to curate my art, not create it.
I have 20 years of raw VHS glitch footage sitting on hard drives. Hundreds of thousands of frames. Somewhere in there are incredible stills — moments where a recognizable subject is visible through the glitch artifacts. Finding them manually would take months.
So I'm building a two-phase curation pipeline with Claude Code. Phase 1 is a local Python script that scores every frame on structure and glitch intensity — Claude wrote it, I tune it by reviewing the results and giving feedback. It processes 30 images per second at zero cost and eliminates 90-97% of frames as uninteresting. Phase 2 sends only the survivors to Claude's vision model for final scoring.
The key breakthrough was multiplicative scoring: a frame needs BOTH a recognizable subject AND strong glitch artifacts to pass. Took 11 iterations to get here. Each round I'd find a new failure mode — scanlines fooling the filter, dark atmospheric frames getting rejected, abstract color blobs sneaking through — and we'd add a new metric to catch it.
Currently processing 300k frames across multiple sources. Targeting over a million for calibration.
The frames that survive are going to become a new collection.

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the only actual difference between eth and tez
MAX CAPACITY@maxcapacity
i just know when i mint art on tezos that people are judging me, especially people who sell art on tezos
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