Alexia Jolicoeur-Martineau@jm_alexiaNew paper 📜: Tiny Recursion Model (TRM) is a recursive reasoning approach with a tiny 7M parameters neural network that obtains 45% on ARC-AGI-1 and 8% on ARC-AGI-2, beating most LLMs. Blog: t.co Code: t.co Paper: t.coOpens with an observation
Alexia Jolicoeur-Martineau@jm_alexiaClaim from the abstract: "106B-parameter MoE (12B active) trained with large-scale reinforcement learning on our end-to-end RL infrastructure stack." I expected all RL from scratch. Reality: Already existing base model + SFT + RL 😿Opens with an observation