Tree-Ising fixes language models by repairing weights with sparse discrete optimization over BF16 weights to adjust reasoning loops; weight-space programming and GPT-6 Astra demonstrations are cited.
Read the original at www.reddit.com→Weight-space programming, introduced in recent MIT work by Takehi et al., enables a frontier LLM agent to read a network's weights and write a repair. Their GPT-6 Astra agent corrected the reasoning loops of...
Original headline: "[Paper] Tree-Ising: Repairing Language Models with Bit-Level Ising Edits"
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- Nov 11, 13:32 UTC r/LocalLLaMA lead source [Paper] Tree-Ising: Repairing Language Models with Bit-Level Ising Edits