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Tom Griffiths

Professor of Psychology and Computer Science at Princeton University. Studies human learning, reasoning, and decision-making, and uses computational models to understand the mind.

Top 3 podcasts with Tom Griffiths

Ranked by the Snipd community
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20 snips
Jun 12, 2016 • 49min

Rationally Speaking #161 - Tom Griffiths and Brian Christian on "Algorithms to Live By"

Tom Griffiths and Brian Christian, co-authors of 'Algorithms to Live By', explore how computer algorithms can solve everyday problems like choosing the right apartment or managing career choices. They discuss the 37 percent rule for effective decision-making and balance the efficiency of algorithms with human intuition. The duo highlights prioritization strategies to tackle procrastination and shares insights on optimizing life’s many choices, emphasizing the importance of understanding context and the emotional aspects of decision-making.
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13 snips
Jul 5, 2023 • 32min

How studying human cognition can help us make better AI systems, with Tom Griffiths, PhD

From ChatGPT to self-driving cars, AI is everywhere these days – but its rollout hasn’t always been entirely smooth. Tom Griffiths, PhD, a professor of psychology and computer science at Princeton University, talks about how artificial intelligence works, how AI differs from human cognition, how it’s changing the way science is done, and how studying human cognition can help researchers improve AI systems. For transcripts, links and more information, please visit the Speaking of Psychology Homepage. Learn more about your ad choices. Visit megaphone.fm/adchoices
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6 snips
May 13, 2025 • 1h 30min

#132 Bayesian Cognition and the Future of Human-AI Interaction, with Tom Griffiths

In this discussion, Tom Griffiths, a Henry Luce professor at Princeton, bridges psychology and computer science. He reveals how Bayesian statistics can enhance our understanding of human cognition and learning. The conversation touches on the importance of individual responses over averages, and how generative AI mirrors human cognitive processes. Griffiths explains the fundamental differences between human and machine intelligence, emphasizing the potential for AI to improve human decision-making while navigating challenges in language learning and alignment.

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