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Pavel AI

@pavelai.bsky.social did:plc:fbjzu4nxfapyyzpwtfody3az

Teach and write about AI and development

Sur Bluesky depuis le

Abonnés
55
Abonnements
60
Posts
413
Jours dans les classements
0

Résumé

Pavel AI (@pavelai.bsky.social) est sur Bluesky depuis le 24 novembre 2024. Le compte a 55 abonnés, suit 60 comptes et a publié 413 posts.

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Les meilleurs jours où les posts de ce compte sont entrés dans le top quotidien de Debya.

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  • iamwil@interjectedfuture.com

    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...

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  • Ramon Astudillo@ramon-astudillo.bsky.social

    > 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...

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  • Ramon Astudillo@ramon-astudillo.bsky.social

    > 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-...

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  • Sam Harsimony@harsimony.bsky.social

    Less than 1 tok/s but still cool to see people innovating here.

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  • AI Firehose@ai-firehose.column.social

    DeepInfer-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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