Verifiable rewards decide which jobs AI automates first: chip design and robotics next
OmarUFlorez · x · 2026-10-07
- Core argument: domains with automatic verifiers progress fastest under RLVR, since models can generate millions of attempts and learn from outcomes without human feedback.
- Current examples: coding (run tests), math (Lean proofs), cybersecurity (verify exploit success).
- The author predicts breakthroughs by 2027 in chip design, robotic simulation, and scientific research like protein and materials design — areas where good verifiers can be built.
- The harder frontier: building verifiers for problems with no single correct answer. AI progress is shifting from generating better answers to letting models judge which answers are better.
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