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Dwarkesh Patel · 实时热榜

HISTORY2026年8月19日20 不同热搜
07/2308/21 有历史数据
DAILY UNIQUE TOPICS20 个热搜
  1. 01
    Ryan Greenblatt – What happens once AI can automate AI research?

    A debate about recursive self-improvement.

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  2. 02
    8 Predictions for the Era of Continual Learning

    Locking in AI safety regulation now is a mistake.

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  3. 03
    Why smarter AI models could drive up compute prices 10x

    The end of cheap compute?

    最高第 300:00 达到当日首次采集时已在榜当日结束时仍在榜累计约21小时14分
  4. 04
    Why compute might get 10x+ more expensive in coming years

    If a human-level software engineer that could run on an H100 equivalent, at current market rates for software engineers, that H100 should rent for over $250k a year. That’s 15x today’s spot price.

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  5. 05
    Adam Brown – A deep but accessible introduction to general relativity

    And why black holes are the ultimate power plants.

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  6. 06
    The Winning Essays for the Big Questions About AI

    Abolishing pandemics/ Getting out of the way of AI automation/ Learning from Honk Kong MTR's business model

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  7. 07
    Grant Sanderson – AI and the future of math

    Watch now (94 mins) | Math is where we’ll see superintelligence first. What will it look like?

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  8. 08
    The next big breakthrough will be AIs learning on the job

    Labs are throwing away the most valuable data.

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  9. 09
    The data black hole at the center of AI

    "We see these AIs as a galaxy glittering with capabilities, but at their center, invisible to the naked eye, holding all the constellations together, is an unimaginably massive black hole of data."

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  10. 10
    Ada Palmer – Machiavelli is the most misunderstood thinker of all time

    "He begged to work for the regime that tortured him."

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  11. 11
    Alex Imas and Phil Trammell – What remains scarce after AGI?

    “One robot now turns into many robots next year, but the number of ballerinas is the same.”

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  12. 12
    Reiner Pope – Chip design from the bottom up

    Working up from basic logic gates to why GPUs, TPUs, FPGAs, and the human brain each look the way they do.

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  13. 13
    The mistake of conflating intelligence and power

    If your definition of intelligence is "the ability to achieve your goals across a wide variety of domains", then Stalin was the most intelligent person who ever lived.

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  14. 14
    Notes on pretraining parallelisms and failed training runs.

    Deeply researched interviews

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  15. 15
    RLVR might be disproportionately bad at science

    the verification loop for theories can be on the order of decades and centuries, and even then we know today as the better theory can often actually make worse predictions

    最高第 1500:00 达到当日首次采集时已在榜当日结束时仍在榜累计约21小时14分
  16. 16
    Eric Jang – Building AlphaGo from scratch

    AlphaGo is still the cleanest worked example of the primitives of intelligence: search, learning from experience, and self-play.

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  17. 17
    David Reich – Why the Bronze Age was an inflection point in human evolution

    "Instead of being quiescent, natural selection is everywhere."

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  18. 18
    Reiner Pope – The math behind how LLMs are trained and served

    It's shocking how much you can deduce about what the labs are doing from a handful of equations and a blackboard

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  19. 19
    More open questions about AI

    Hodge podge of things I was thinking about this weekend.

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  20. 20
    Blog prize for the big questions about AI

    The not-so-secret point of this whole contest is so that I can hire a researcher

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