ARC-AGI is the benchmark built to test whether AI can reason its way through a brand new problem instead of recalling one it saw on the internet.
Most benchmarks reward a model for recognizing patterns it already trained on. ARC-AGI flips that. It hands the model tiny grid puzzles with hidden rules and asks it to work out the transformation from a handful of examples, the way a person would. In this video we cover why François Chollet built it, how the ARC-AGI 1 grids work, and what makes ARC-AGI 3 different: agents dropped into a game with no instructions, forced to explore and adapt. And there's $2 million on the line.
? What you'll learn:
1️⃣ Why "knowing more" is not the same as being intelligent
2️⃣ How ARC-AGI 1 grid puzzles hide their rules on purpose
3️⃣ Why ARC-AGI 3 turned static puzzles into interactive games
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⏰ Timestamps:
00:00 - How smart is the model, really?
00:45 - What is ARC-AGI?
01:44 - ARC-AGI 3: dropped into a game with no rules
02:45 - The $2 million ARC Prize and why it matters
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