
Princeton Scientist: AGI Is the Wrong Question
A Princeton cognitive scientist says AGI is the wrong question entirely — because AI and the human mind are solving completely different problems. Tom Griffiths explains the "alien radio signal" that is modern AI, and why your kid still out-learns ChatGPT on a fraction of the data.
This is a clip from my full conversation with Tom Griffiths, Professor of Psychology and Computer Science at Princeton and author of The Laws of Thought.
Full conversation → https://www.youtube.com/watch?v=6iMiCJHxTww
We cover:
▸ Why AGI is a category error, not a milestone
▸ The "alien radio signal" metaphor for what AI actually does
▸ Why kids out-learn LLMs on the same amount of data (Chomsky's poverty of stimulus)
▸ The hidden lineage from Boole to Turing to the GPUs training AI today
TIMESTAMPS
00:00 The 19th-Century Origin of AI
01:00 Why Turing Machines Changed Everything
01:35 Jensen Huang Says AGI Is Here
02:10 Why AGI Might Be the Wrong Goal
02:57 The Fatal Flaw in “Human-Level AI”
03:41 What AI Is Really Optimized For
03:54 Why Kids Learn Faster Than Machines
04:43 The Missing Ingredient in AI
05:19 Why Humans Generalize Better
05:46 The AI Researchers Who Admit They Don’t Understand It
———
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