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Thinking Machines Lab advocates for model weight ownership and autonomous research

Thinking Machines Lab is advocating for individuals and organizations to retain ownership of their model weights. They have developed NeuroVFM, a foundation model trained on over 5 million clinical brain scans. The lab also proposes "Loop engineering" as a method to replace traditional prompt-and-read interactions with autonomous research loops. AI

IMPACT Promotes a shift towards decentralized model ownership and autonomous research loops.

RANK_REASON The item discusses a lab's advocacy and a proposed engineering method, rather than a direct release or significant industry event.

Read on Mastodon — fosstodon.org →

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

Thinking Machines Lab advocates for model weight ownership and autonomous research

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Commentary
The item discusses a lab's advocacy and a proposed engineering method, rather than a direct release or significant industry event.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, other
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High
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47 days old
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COVERAGE [1]

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

    📰 Latent — The car that never shipped built Apple's AI chips • Thinking Machines Lab makes the case for owning your model weights • NeuroVFM: a foundation model

    📰 Latent — The car that never shipped built Apple's AI chips • Thinking Machines Lab makes the case for owning your model weights • NeuroVFM: a foundation model trained on 5.24M clinical brain scans • "Loop engineering" wants to replace prompt-and-read with autonomous research lo…