
Dwarkesh Patel · 实时热榜
- 01Adam Brown – A deep but accessible introduction to general relativity
And why black holes are the ultimate power plants.
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20小时30分 - 02Why 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 1 名08:27 达到08:27 首次观测上榜当日结束时仍在榜累计约12小时2分 - 03The 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 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20小时30分 - 04Grant 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 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20小时30分 - 05The next big breakthrough will be AIs learning on the job
Labs are throwing away the most valuable data.
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20小时30分 - 06The 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 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20小时30分 - 07Ada Palmer – Machiavelli is the most misunderstood thinker of all time
"He begged to work for the regime that tortured him."
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20小时30分 - 08Alex 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 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20小时30分 - 09Reiner 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 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20小时30分 - 10The 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 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20小时30分 - 11Notes on pretraining parallelisms and failed training runs.
Deeply researched interviews
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20小时30分 - 12RLVR 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 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20小时30分 - 13Eric 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 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20小时30分 - 14David Reich – Why the Bronze Age was an inflection point in human evolution
"Instead of being quiescent, natural selection is everywhere."
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20小时30分 - 15Reiner 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 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20小时30分 - 16More open questions about AI
Hodge podge of things I was thinking about this weekend.
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20小时30分 - 17Blog 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 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20小时30分 - 18Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat
“If our next several years are a trillion dollars in scale, we have the supply chain to do it"
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20小时30分 - 19What I learned this week - Can distillation be stopped, Mythos and the cybersecurity equilibrium, Pipeline RL
April 15, 2025
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20小时30分 - 20Michael Nielsen – How science actually progresses
The true story of Einstein, Newton, and Darwin
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20小时30分 - 21Terence Tao – Kepler, Newton, and the true nature of mathematical discovery
“And what those stories teach us about how AI will revolutionize math”
最高第 20 名00:00 达到当日首次采集时已在榜08:27 观测离榜累计约8小时28分

































































































