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lawrenceyan

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  1. Test Like You Fly (spacex.com)
    1 points 0
  2. Gut Instinct: Connecting with our intuition (cheltenhamzen.co.uk)
    1 points 0
  3. Lazard's Levelized Cost of Energy (2025) [pdf] (lazard.com)
    3 points 0
  4. Artemis, Greatness, and Risk (1517.substack.com)
    3 points 0
  5. Blessed: A high-level terminal interface library for Node.js (github.com)
    3 points 0
  6. Ju Ci: The Art of Repairing Porcelain (thesublimeblog.org)
    118 points 6
  7. On the road to C4 rice: Advances and perspectives (onlinelibrary.wiley.com)
    5 points 0
  8. The Antifragile Organization: Designing Systems That Evolve Through Chaos (medium.com)
    7 points 0
  9. Algebraic methods for interactive proof systems (1992) (dl.acm.org)
    2 points 0
  10. The Inevitable Future of Stablecoins (layerzero.network)
    3 points 0
  11. The Assistant Axis: Situating/Stabilizing the Default Persona of Language Models (arxiv.org)
    1 points 0
  12. The Death of Richard Dawkins (steve-yegge.medium.com)
    4 points 1
  13. Rhythms for Cognition: Communication Through Coherence (cell.com)
    2 points 0
  14. China Seen Overtaking U.S. as Global Superpower (2011) (pewresearch.org)
    5 points 0
  15. Solana: Built for Rustaceans [video] (youtube.com)
    1 points 1
  16. The Chinese AI Iceberg [video] (youtube.com)
    2 points 0
  17. What Is the Solana Virtual Machine? (helius.dev)
    1 points 0
  18. What kind of person is DeepSeek's founder, Liang Wenfeng? (lmsherlock.substack.com)
    4 points 0
  19. Foundations: My 1999 (and Part of 2000) (michaeljburry.substack.com)
    2 points 0
  20. Blazing-Fast Magic Beans [video] (youtube.com)
    2 points 0
  21. CALM: Continuous Autoregressive Language Models (github.com)
    1 points 0
  22. Towards a future space-based, highly scalable AI infrastructure system design [pdf] (services.google.com)
    1 points 0
  23. Emergent introspective awareness in large language models (transformer-circuits.pub)
    1 points 0
  24. Discovering state-of-the-art reinforcement learning algorithms (nature.com)
    8 points 2
  25. LLMs Often Know When They're Being Evaluated (old.reddit.com)
    2 points 0