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aaronng91

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  1. Experts Have World Models. LLMs Have Word Models (latent.space)
    238 points 31
  2. Why America Builds AI Girlfriends and China Makes AI Boyfriends (chinatalk.media)
    4 points 0
  3. Continuous vs. dynamic batching for AI inference (baseten.co)
    1 points 0
  4. The AI rollup mirage and the risk of repeating old mistakes (press.airstreet.com)
    1 points 0
  5. How to build smarter turn detection for Voice AI (blog.speechmatics.com)
    5 points 1
  6. What AI Can't Replace: Intuition, Alignment, and Taste (startupsoup.substack.com)
    2 points 0
  7. ElevenLabs' Carles Reina: Building Moats in AI (akashbajwa.substack.com)
    1 points 0
  8. Futures of the data foundry business model (interconnects.ai)
    1 points 0
  9. Silicon Valley doomers are shaping Rishi Sunak’s AI plans (politico.eu)
    14 points 1
  10. ELI5: FlashAttention (gordicaleksa.medium.com)
    2 points 0
  11. Safeguarding Enterprise Adoption of LLMs (adityanaganath.substack.com)
    7 points 0
  12. Some Background on Our Views Regarding Advanced Artificial Intelligence (2016) (openphilanthropy.org)
    2 points 1
  13. Singapore: Sovereign City (devonzuegel.com)
    88 points 195
  14. Free Energy Fallacy (medium.com)
    1 points 1
  15. My Machine Learning Research Jobhunt (generalizederror.github.io)
    2 points 0
  16. Robinhood Robinhooded Robinhood (notboring.substack.com)
    1 points 0