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EP 366- GM Raven Sturt: Chess Improvement Deep Dive with a Self-Taught Grandmaster. Board Visualization Tips, Book Recs & Lots more.

Perpetual Chess Podcast

NOTE

Positional Understanding of Neural Network Chess Engines

The speaker highlights the impressive positional understanding of neural network engines in chess. They mention an insight from Matthew Sadler that these engines can play at a 2400 to 2500 level even when their calculations are limited to playing ahead. The conversation reflects on the advancements in computer technology and how these engines surpass human assumptions in positional understanding, offering hope and admiration for their capabilities.

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