A human player has comprehensively defeated a top-ranked AI system at the board game Go, in a surprise reversal of the 2016 computer victory that was seen as a milestone in the rise of artificial intelligence.
The triumph, which has not previously been reported, highlighted a weakness in the best Go computer programs that is shared by most of today’s widely used AI systems, including the ChatGPT chatbot created by San Francisco-based OpenAI.
The tactics that put a human back on top on the Go board were suggested by a computer program that had probed the AI systems looking for weaknesses. The suggested plan was then ruthlessly delivered by Pelrine.
This approach to identifying flaws in LeelaZero and similar networks strongly reminds me of a generative adversarial neural network, where networks are pitted against each other in a zero-sum game. I really believe this approach will represent the next big step forward for AI; neural networks that only require an objective function and initial conditions, while all the normal fine-tuning that typically has to be done by humans will be handled by automated GANs.
Bojan Tunguz (via Twitter):
Very interesting story. It seems that we can still beat AIs, but we’d need the help of another AI to teach us how.
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