Weight-space programming emerges as a new capability, 20x jump in latest models

Distinct-Question-16 · reddit · 2026-11-03

Citing Alex Krentsel's post: he reproduced the MIT blog's weight-space programming results and found it's a step-change emergent capability in only the newest frontier models.

His chart, benchmarked against a PPO RL network (500M steps) at 1×: GPT-5 through GPT-5.6-Sol show nearly no effect, while GPT-6.1-Sol jumps to 18× and GPT-6 Astra hits 22×; on Anthropic's side, Opus 4.5–5 stay near 1× while the latest Opus 5.5 reaches 20×. Effectiveness crosses an order of magnitude in just the last model generations.

Related event: MIT Weight-Space Programming Independently Replicated, with 20x Gains on Newer Models(4 posts)→

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