This article announces the winners of the 'My First Endgame Study' tourney, a collaboration between the World Federation for Chess Composition (WFCC) and ChessBase India. It details the judging criteria, highlights a few winning studies with analysis, and promotes future events like the Youth Chess Composing Challenge.
Report on the winners of the 'My First Endgame Study' composing tourney, a collaboration between the World Federation for Chess Composition (WFCC) and ChessBase India. Includes details on the judging criteria and showcases several winning studies.
Study 07 (7th Place): White wins through a rook and bishop chase, forcing the black king into a position where it can no longer escape. The solution involves 1. Rf8+ Kxh3 2. Bf1+ Kh4 3. Bf2+ Kh6 4. Be3+ g5 5. Kf6 Qc7 6. Bxg5#
Study 03 (3rd Place): White wins with an attractive and active game. Key moves include 1.Nb6+!, 4.Kb1!, 6...Kb3!, and 7.a4!! which sets up a mating net. The solution finishes with 10.Kc2 fxe4 11.fxe4 h1Q 12.b3#. The article highlights the surprising nature of moves like 1.Nb6+! and 7.a4!!.
Dog is a chess program for ESP32 microcontrollers, licensed under the MIT license.
Playing chess has always been a bellwether for computers. The game isn’t trivial, but the rules are managably simple. However, the game is too complex to be easily solved entirely, so you have to use tricky software to play a credible game. Big computers do have an advantage, of course. But Microchess — arguably the first commercial game for home computers — was able to play on tiny machines like the Kim-1. Joachim Froholt » interviewed Peter Jennings » — the man behind Microchess to learn the whole story of its creation.
The article discusses the peculiar performance disparity between different large language models (LLMs) in playing chess, with a focus on gpt-3.5-turbo-instruct's unexpected prowess compared to newer models. It explores theories about why this occurs, including the influence of training data quality and model architecture, and experiments with various methods to enhance chess-playing abilities of LLMs through prompts and fine-tuning.
