RL scaling papers suggest experimental throughput is the first real bottleneck to RSI
eigenron · x · 2026-10-12
eigenron argues that recent RL scaling papers point to experimental throughput as the first serious bottleneck to recursive self-improvement (RSI).
- Evidence shows reallocating compute between exploration and optimization can revive saturated training runs.
- If the learner also designs its own experiments, curriculum, and infrastructure, the feedback dynamics become far more interesting — a notable big-picture AGI take.
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