Today we’re excited to launch ARC-AGI-2 to challenge the new frontier. ARC-AGI-2 is even harder for AI (in particular, AI reasoning systems), while maintaining the same relative ease for humans. Pure LLMs score 0% on ARC-AGI-2, and public AI reasoning systems achieve only single-digit percentage scores. In contrast, every task in ARC-AGI-2 has been solved by at least 2 humans in under 2 attempts. [...]
All other AI benchmarks focus on superhuman capabilities or specialized knowledge by testing "PhD++" skills. ARC-AGI is the only benchmark that takes the opposite design choice – by focusing on tasks that are relatively easy for humans, yet hard, or impossible, for AI, we shine a spotlight on capability gaps that do not spontaneously emerge from "scaling up".
— Greg Kamradt, ARC-AGI-2
Recent articles
- Building software on top of Large Language Models - 15th May 2025
- Trying out llama.cpp's new vision support - 10th May 2025
- Saying "hi" to Microsoft's Phi-4-reasoning - 6th May 2025