Autochess V3 hits ~2700 Elo

This feels like a legitimately ambitious systems project, not a thin AI wrapper. The architecture and UX are compelling, but the Elo story will only land if the evaluation methodology is pinned down much more tightly.

• –The browser experience is a real strength: play, board editor, replay, puzzles, and move-probability visualizations make the model easy to inspect.
• –The rating claim is interesting but fragile unless the opponent pool, time control, opening rules, and exact ladder setup are documented clearly.
• –Thought tokens, DAB, and “Temporal Look-Ahead” are promising hypotheses, but they need ablations against a simpler CNN-plus-search baseline before anyone can tell if they add real signal.
• –For classical-engine comparisons, fixed test suites, fixed time or node budgets, and repeated runs will be more convincing than casual human-vs-bot outcomes.