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How Intelligent Is AI, Really?

Shownote

ARC-AGI is redefining how to measure progress on the path to AGI - focusing on reasoning, generalization, and adaptability instead of memorization or scale. During this month's NeurIPS 2025 conference, YC's Diana Hu sat down with ARC Prize Foundation P...

Highlights

The pursuit of artificial general intelligence demands more than just powerful models—it requires smarter ways to measure true reasoning and adaptability. As AI systems grow in complexity, the challenge shifts from building them to understanding what they're actually capable of.
02:58
Creating RL environments to score well on benchmarks may be a false positive for AI progress
07:38
ARC-AGI v3 will feature 150 interactive, video-game-like environments with no instructions for test-takers.
07:38
Accuracy isn't the only metric—AI should be measured on time, data, and energy efficiency compared to humans
10:10
A 100% score on ARC-AGI is strong evidence of generalization, not definitive proof of AGI

Chapters

What Is the Real Goal Behind the ARC Prize Foundation?
00:00
How Much Have AI Systems Really Progressed in Reasoning?
02:58
What’s New in the Next Generation of AI Challenges?
05:26
Can AI Solve Problems as Efficiently as Humans?
07:38
Does Mastering ARC-AGI Mean an AI Has Achieved General Intelligence?
10:10

Transcript

Diana Hu: I'm excited today to welcome Greg Kamradt, who is the president of the ARC Prize. Greg Kamradt: That's right. Diana Hu: Thanks for coming here at NeurIPS 2025 in beautiful San Diego. Greg Kamradt: Thank you, Diana. Diana Hu: So what does the ...