Unverified50% confidenceConceptExact time
The core hypothesis of weight-space programming is that points in high-dimensional weight space are not randomly distributed but encode regularity structures that language models can interpret.
1
Sources
50%
Confidence
Long-term
Relevance
11/4/2026
First Seen
Sources
AI Directly Rewrites Model Weights: MIT Study Reveals New Black-Box Breakthrough
youtubeMatthew Berman11/4/2026
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