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AI Teaches Humans to Handle Complexity in the Game of Go

arXiv cs.AI ↗ · 2026-10-27 Cached

This arXiv paper introduces a network-derived 'strategic tension' metric based on spectral radius to compare human and AI decision-making in Go, finding that while tension decays with human skill, elite play after AlphaGo's 2016 breakthrough shows a surge in sustained tension, framing AI as cognitive scaffolding that elevates human handling of complexity.

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#game-of-go

GoBench: Evaluating LLMs on the game of Go [R]

Reddit r/MachineLearning ↗ · 2026-09-16

GoBench is a benchmark for evaluating large language models on 9x9 Go games, demonstrating strong correlation with ARC-AGI and featuring a leaderboard with KataGo opponents from random to superhuman levels.

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