What will it take to build an AI that truly thinks like a human? In this thought-provoking episode, we dive deep into the heart of Artificial General Intelligence (AGI)—the "holy grail" of AI research. While we've made huge strides with machine learning and large language models, true AGI remains out of reach. Why? Because even our most advanced systems still struggle with the kind of reasoning, generalization, and intuitive thinking that humans do effortlessly.

Enter the ARC Prize—a groundbreaking initiative aiming to close that gap. With special guest insight from a core member of the ARC Prize team, we unpack what makes this benchmark so revolutionary. From ARC-AGI1's role in identifying when AI started to move beyond memorization, to the newly launched ARC-AGI2 that exposes fundamental weaknesses in current systems, this episode takes you behind the scenes of one of the most ambitious challenges in AI today.

Discover how ARC-AGI2 is pushing the limits of reasoning, targeting tasks that are trivial for humans but perplexing for machines. We explore the three major stumbling blocks for AI: symbolic interpretation, compositional reasoning, and contextual rule application—core elements of human intelligence that machines still can’t grasp.

We also break down the structure of ARC-AGI2's rigorous benchmarks, the science behind task calibration, and how the 2025 ARC Prize competition on Kaggle is set to inspire open-source innovation and accelerate progress toward real AGI. It's not just about making smarter machines—it's about redefining what it means to think.

Whether you’re an AI researcher, tech enthusiast, or just curious about the future of intelligence, this episode will give you a front-row seat to the challenges, breakthroughs, and bold ideas shaping the next frontier of artificial intelligence. Don’t miss it.

Read more: https://arcprize.org/blog/announcing-arc-agi-2-and-arc-prize-2025