#puzzles

• 11 Aug 2026 · Paper summary

  Paper summary: BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

  BDH-CQ combines in-context learning with recurrent latent reasoning in the Dragon Hatchling architecture; a 150M model reaches 29.5% pass@2 on ARC-AGI-1 at about $0.0007 per task, a new cost–accuracy frontier.

• 8 Oct 2025 · Paper summary

  Paper summary: Less is More: Recursive Reasoning with Tiny Networks

  Tiny Recursive Model, a single 2-layer network with 7M parameters that repeatedly refines its answer, reports 45% on ARC-AGI-1 and 8% on ARC-AGI-2, above many large LLMs on these puzzles.