Gemini math lead reveals inside story: evals, post-training recipes, scaled runs

thtrieu_ · x · 2026-11-15

kaiyinghou, who contributed to Gemini's math capabilities, recounts the long-running effort: the team built evals that defined the north-star target, iterated on the post-training recipe, and drove large-scale training runs. Now curious how mathematicians rate the model against the competition. The post offers an insider's view of how frontier math ability gets productized: set the benchmark first, iterate training, then scale.

Original post →

More from Models

Models channel →