Open-source ARC-AGI-3 training data framework ships 429 playable games with solvers
GregKamradt · x · 2026-10-09
A developer released an open-source training data framework for ARC Prize featuring 429 distinct playable games in ARC-AGI-3 style (64x64 observations, per-game action subsets), including solvers (37 games still missing one) and scripts to generate demonstration data. ARC Prize founder Greg Kamradt shared it, hoping ARC-AGI-3 researchers will find it useful.
More from Research
- Ex-self-driving ML engineer writes long-form on the practice of semi-supervision — Visual_Ability · 2026-10-09
- RLVR misses 'all minimal correct answers' problems; new credit assignment doubles finds — thoma_gu · 2026-10-09
- Debunked: AI did not solve the Millennium Prize Navier-Stokes problem — gerardsans · 2026-10-09
- New open-source 3JSBench evaluates LLMs on generating coherent Three.js 3D assets — ycombinator · 2026-10-09
- Moonworks' Lunara: Sub-10B Diffusion Mixture Transformer Tops Aesthetic and Human Blind Evaluations — paper-crow · 2026-10-09
- Study: Local domains take 41.4% of AI citations in Brazil, 38.3% in UK across ChatGPT and Gemini — gaganghotra_ · 2026-10-09