MIT CSAIL Experiments Show GPT-6 Astra Modifying Neural Weights Directly
An MIT CSAIL team reports preliminary experiments where GPT-6 Astra interpreted and modified neural network weights without writing training loops. In a Qwen test, minor weight adjustments sharply improved math and instruction-following scores, though findings remain early-stage.
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An MIT CSAIL team reports early experiments in which GPT-6 Astra interpreted and modified neural-network weights without writing a training loop. In one Qwen test, the authors say a small weight change sharply improved math and instruction-following scores; the findings are preliminary.
Rikiya Takehi and colleagues / MIT CSAIL·623 comments
Rikiya Takehi and colleagues / MIT CSAIL
Andrej Karpathy Builds a Video Library From Hacker News Recommendations
HackerTube gathers 6,454 YouTube videos mentioned by Hacker News readers across nearly two decades. Karpathy describes using AI coding tools to build an alternative browsing experience, with its own recommendations and no user accounts.
Andrej Karpathy·624 comments
Screenshot via Andrej Karpathy
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