
38.3 - Erik Jenner on Learned Look-Ahead
AXRP - the AI X-risk Research Podcast
Strategic Foresight in Chess AI Models
This chapter examines the challenges of integrating future planning into decision-making models, particularly within chess. It discusses various experiments that assess how anticipation of future moves impacts model performance and decision-making strategies. Additionally, the chapter highlights the need for comprehensive testing to validate AI mechanisms while exploring the role of neural networks in understanding move representation.
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