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Dwarkesh Patel

科技

1 个榜单8分钟前更新默认榜单

Dwarkesh Patel

8分钟前更新

01
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 modelDwarkesh Patel
02
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?Dwarkesh Patel
03
The next big breakthrough will be AIs learning on the job
Labs are throwing away the most valuable data.Dwarkesh Patel
04
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."Dwarkesh Patel
05
Ada Palmer – Machiavelli is the most misunderstood thinker of all time
"He begged to work for the regime that tortured him."Dwarkesh Patel
06
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.”Dwarkesh Patel
07
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.Dwarkesh Patel
08
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.Dwarkesh Patel
09
Notes on pretraining parallelisms and failed training runs.
Deeply researched interviewsDwarkesh Patel
10
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 predictionsDwarkesh Patel
11
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.Dwarkesh Patel
12
David Reich – Why the Bronze Age was an inflection point in human evolution
"Instead of being quiescent, natural selection is everywhere."Dwarkesh Patel
13
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 blackboardDwarkesh Patel
14
More open questions about AI
Hodge podge of things I was thinking about this weekend.Dwarkesh Patel
15
Blog prize for the big questions about AI
The not-so-secret point of this whole contest is so that I can hire a researcherDwarkesh Patel
16
Jensen 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"Dwarkesh Patel
17
What I learned this week - Can distillation be stopped, Mythos and the cybersecurity equilibrium, Pipeline RL
April 15, 2025Dwarkesh Patel
18
Michael Nielsen – How science actually progresses
The true story of Einstein, Newton, and DarwinDwarkesh Patel
19
Terence Tao – Kepler, Newton, and the true nature of mathematical discovery
“And what those stories teach us about how AI will revolutionize math”Dwarkesh Patel
20
Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI compute
Plus, why an H100 is worth more today than 3 years agoDwarkesh Patel

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