Robotics may be stuck inside the LLM S-curve without sim2real or RL efficiency breakthroughs
kuza55 · x · 2026-08-29
A thread on whether an automated AI factory could self-train models for RL-able tasks like robotics. One side argues software, computer use and math look clearly solvable, but the trajectory outside that RL-environment box looks much weaker. The other replies this is precisely the current S-curve's limit: compiler data is in-distribution and RL happens in sim—without sim2real or RL-efficiency breakthroughs off the current LLM training curve, physical tasks won't benefit.
Related event: The S-Curve Debate: Can AI Progress Keep Stacking New Paradigms(16 posts)→
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