Research feature · 11

How professionals review Go games with AI

A six-stage professional review workflow, large-scale studies, and 60 Read19-analyzed games explain five elite styles and the real relationship among match rate, wins, and memorization.

1. How professionals turn AI into a training system

   Preserve human judgment, scan, deepen key positions, test branches, and compress the result into one executable cue.

2. Why one AI teacher does not erase style

   Precision, complication, deep reading, boldness, and pressure choose different practical difficulty from one candidate set.

3. What ‘more AI-like wins more’ measures

   Exact match, policy, win-rate loss, score loss, and phase errors are different measures.

4. How memory, novelty, and convergence coexist

   Local patterns concentrate while games enter novel global states earlier; memorization cannot explain the full gain.