Dr. Jon Edwards, ICCF Grandmaster and the 32nd World Correspondence Chess Champion, lays out how elite players win by working alongside AI. He explains why openings run on massive databases, how seven piece tablebases end many debates, and where humans still outplay engines in long, fixed pawn structures. Edwards walks through a months long plan to shift a single pawn, the kind of patient maneuvering neural nets miss. He shares the tech behind his home server, training custom neural nets on top correspondence games, and using ChessBase with open databases. We talk Princeton, Bell Labs, and a Sicilian idea that jumped from correspondence boards to classical prep. Edwards closes with fast learning tactics, why a broad liberal arts education still matters in the AI era, and a clear stance on truth in a noisy world. Wikipedia Teach Yourself Visually Chess 

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