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Best AI papers explained

Cut through the noise. We curate and break down the most important AI papers so you don’t have to.

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Latest episodes

  1. Scaling Discovery Requires Forgetting22 Oct 2026
  2. Scaling Empowered Agents16 Oct 2026
  3. Strategic Self-Consistency12 Oct 2026
  4. Context Language Models10 Oct 2026
  5. Position: AI-Agent Pricing Should Become More Outcome-Dependent: An Economic Perspective8 Oct 2026
  6. Emergent Capabilities Arise Randomly from Learning Sparse Attention Patterns8 Oct 2026
  7. Pragmatic Causal Inference with AI-Learned Representations6 Oct 2026
  8. Pointwise or pairwise: when do pairwise losses help reward learning, provably?4 Oct 2026
  9. When to Trust the Cheap Check: Weak and Strong Verification for Reasoning3 Oct 2026
  10. Theoretical Limits of Language Model Alignment1 Oct 2026