
Dwarkesh Patel · 实时热榜
- 01Ryan Greenblatt – What happens once AI can automate AI research?
A debate about recursive self-improvement.
最高第 1 名00:00 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 - 028 Predictions for the Era of Continual Learning
Locking in AI safety regulation now is a mistake.
最高第 2 名00:00 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 - 03Why smarter AI models could drive up compute prices 10x
The end of cheap compute?
最高第 3 名00:00 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 - 04Why 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.
最高第 4 名00:00 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 - 05Adam Brown – A deep but accessible introduction to general relativity
And why black holes are the ultimate power plants.
最高第 5 名00:00 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 - 06The 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
最高第 6 名00:00 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 - 07Grant Sanderson – AI and the future of math
Watch now (94 mins) | Math is where we’ll see superintelligence first. What will it look like?
最高第 7 名00:00 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 - 08The next big breakthrough will be AIs learning on the job
Labs are throwing away the most valuable data.
最高第 8 名00:00 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 - 09The 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."
最高第 9 名00:00 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 - 10Ada Palmer – Machiavelli is the most misunderstood thinker of all time
"He begged to work for the regime that tortured him."
最高第 10 名00:00 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 - 11Alex 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.”
最高第 11 名00:00 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 - 12Reiner 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.
最高第 12 名00:00 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 - 13The 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.
最高第 13 名00:00 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 - 14Notes on pretraining parallelisms and failed training runs.
Deeply researched interviews
最高第 14 名00:00 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 - 15RLVR 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 15 名00:00 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 - 16Eric Jang – Building AlphaGo from scratch
AlphaGo is still the cleanest worked example of the primitives of intelligence: search, learning from experience, and self-play.
最高第 16 名00:00 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 - 17David Reich – Why the Bronze Age was an inflection point in human evolution
"Instead of being quiescent, natural selection is everywhere."
最高第 17 名00:00 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 - 18Reiner 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
最高第 18 名00:00 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 - 19More open questions about AI
Hodge podge of things I was thinking about this weekend.
最高第 19 名00:00 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 - 20Blog prize for the big questions about AI
The not-so-secret point of this whole contest is so that I can hire a researcher
最高第 20 名00:00 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

































































































