Pavel AI
@pavelai.bsky.social did:plc:fbjzu4nxfapyyzpwtfody3az
Teach and write about AI and development
En Bluesky desde el
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Resumen
Pavel AI (@pavelai.bsky.social) es un usuario de Bluesky que se unió el 24 noviembre 2024. Tiene 55 seguidores, sigue a 60 cuentas y ha publicado 413 posts.
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This is weird and surprising to me. It seems unlikely models were directly trained or RL'd to do this, yet it seems like it's able to do it--which seem aligned with the claim that neural networks are already clean and interpretable. x.com/rikiyatakeh...
Ver post> We give GPT-6 Astra the weights, a description of the scene and one recorded episode [...] In a single try with no tools, Astra’s edit makes the car succeed in all 1,024 episodes, changing 3.5% of the [173K!!] weights. rikiyat.github.io/blog/weight-space-p...
Ver post> In Weight-Space Programming, a general-purpose LLM reads and writes a network’s weights directly (i.e., not through an optimizer, and in particular not with gradient descent) around some natural language spec, sometimes even with no environment feedback at all. rikiyat.github.io/blog/weight-...
Ver postLess than 1 tok/s but still cool to see people innovating here.
Ver postDeepInfer-Mac showcases running a 750B-class AI model on a MacBook Air with just 24 GB of memory, using expert routing and caching techniques to generate text at impressive speeds despite storage limitations. https://arxiv.org/abs/2610.36564
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