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Developer trains language model on demoscene code to autocomplete 140-char demos

Developer publishes post-training experiment using ML on demoscene code

1 Oct 31 2:08 PM · 11d ago · 1 article · 2 posts · 3 sources · development 1 of 2

Datavorous published a detailed writeup of training a language model on demoscene and sizecoding projects, specifically 140-character JavaScript demos from Dwitter.net. The project traces visual effects across remixed demos and applies autoregressive language modeling to generate plausible code continuations and explore alternative aesthetic directions.

“Given a partial program, certain characters and expressions are considerably more likely to follow than others. This is pretty much how autoregressive language models work.”

datavorous

datavorous Developer / researcherHellMood Demoscener

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1–2Developer publishes post-training…
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What was reported 1 claim about this development

  1. 1 outlet I post trained a model on Demoscenes

    first by HN Frontpage, 11d ago

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