RL-trained Kimi base model designs power transformers, hitting 93% of unseen specs in minutes
simonguozirui · x · 2026-09-15
Startup GenTrajectory demonstrates RLVR (RL with verifiable rewards) applied beyond math and code — to electrical engineering:
- Method: decades of physics-based verifiers built by engineers make electromagnetic systems a natural fit for RLVR; the team used Tinker to RL-train a Kimi base model to design medium-power transformers
- Results: 93% of unseen specs met, compressing multi-week engineering iterations into minutes of inference
- Motivation: AI is already improving its own architectures and chips; the power infrastructure it runs on deserves the same attention
- Tinker API's official account amplified the takeaway: RLVR isn't just for math and code — off-the-shelf physics verifiers are natural reward functions
A concrete example of the "physics verifier as reward function" route, relevant to AI for Science and industrial design.
Related event: RL-Trained Kimi Designs Power Transformers, Hitting 93% on Unseen Specs(2 posts)→
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