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AI models demonstrate ability to directly edit neural network weights

By PulseAugur Editorial · [1 sources] ·

Researchers have demonstrated that large language models can directly interact with and modify the weights of neural networks. Experiments showed an AI model, Astra, successfully inspecting, debugging, and even constructing neural networks solely from their weights. While still in its early stages, this capability suggests a potential pathway for AI systems to autonomously examine and improve other AIs, raising both optimistic and cautionary implications. AI

IMPACT This capability could enable AI systems to autonomously improve and evolve, potentially accelerating AI development and raising new safety considerations.

RANK_REASON Research paper detailing a new capability for AI models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI models demonstrate ability to directly edit neural network weights

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11 / 100
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Research paper detailing a new capability for AI models. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    This is kind of freaky, and potentially quite important: https:// rikiyat.github.io/blog/weight- space-programming/ tl;dr — they’re basically asking a straightf

    This is kind of freaky, and potentially quite important: https:// rikiyat.github.io/blog/weight- space-programming/ tl;dr — they’re basically asking a straightforward question: can high-powered # LLMs *directly* read and edit the weights of # neuralNetworks ? That is, can you hav…

    LINKS rikiyat.github.io/…/weight-space-programm…

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