Researcher: Make LLMs Self-Inspectable Enough for Weight-Space Programming and RSI
Michael_D_Moor · x · 2026-11-15
Michael D. Vasser argues that larger models should be made more encapsulated and intelligible for self-inspection, so that Weight Space Programming (WSP) could be applied to the teacher model itself—enabling recursive self-improvement (RSI), test-time adaptation, and continual learning. A directional take linking interpretability to adaptive capabilities.
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