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This paper proposes H-Res, a method to adapt large transformer models by shaping the energy landscape of associative memories without modifying weights or adding prompts, preserving memory capacity and outperforming LoRA.
An independent researcher recounts discovering that a $50M+ lab's paper on manifold steering converges with his own patented and published work on universal behavioral manifolds, highlighting the significance of independent scientific convergence.