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Articole: 12
  1. TLDR: yes, models are getting funnier over time I love laughing.

  2. Experiments into predicting GPT2 completions via Qwen models Next token prediction is a magical objective.

  3. Recently I read The Rogue Agent Explosion Will Be Mostly Invisible and the scenario in it seemed intriguing.

  4. Hint: managing someone is actually hard, and most times not worth it.

  5. I’ve said this before and I’ll say it again: Using LLMs-written content professionally will spoil your career, especially if you’re in early stages.

  6. What can do to get ahead Here’s some unsolicited advice to the government on what to do to help boost India’s sovereign model story. 1.

  7. “Math” is not what it used to be anymore I feel AI is breaking our usual, shared understandings of what words mean.

  8. The answer is in economics, not talent.

  9. Investors underwrite scaling laws because the alternative (having an Einstein discover better algorithms) is high variance What would it take to make progress towards general intelligence, where general stands for any problem that might arise in our world?

  10. LLM are universal simulators

    Saying that LLMs are just next token predictors is underselling these beasts to a mind numbing degree.

  11. Wigner wondered about the unreasonable effectiveness of mathematics in describing our universe.

  12. How mind bootstraps itself

    Daniel Dennett, who recently passed away, is an inspiration for people like me who love grand ideas that connect many different fields at a deep level (and be rigorous about that; well as rigorous as grand theories can be).