Dwarkesh Podcast
30 articles archived · Visit source ↗ · RSS
-
Dwarkesh Podcast news-outlet 3d ago
The next big breakthrough will be AIs learning on the job
Labs are throwing away the most valuable data.
28 -
Ada Palmer – Machiavelli is the most misunderstood thinker of all time
"He begged to work for the regime that tortured him."
21 -
-
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.
22 -
-
Notes on pretraining parallelisms and failed training runs.
Deeply researched interviews
37 -
-
-
David Reich – Why the Bronze Age was an inflection point in human evolution
"Instead of being quiescent, natural selection is everywhere."
34 -
-
-
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
9 -
-
Michael Nielsen – How science actually progresses
The true story of Einstein, Newton, and Darwin
17 -
Terence Tao – Kepler, Newton, and the true nature of mathematical discovery
“And what those stories teach us about how AI will revolutionize math”
37 -
Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI compute
Plus, why an H100 is worth more today than 3 years ago
32 -
The most important question nobody's asking about AI
“Preface to the highest stakes negotiations in history.”
23 -
Dario Amodei — "We are near the end of the exponential"
"That's why I'm sending this message of urgency"
18 -
-
-
-
Adam Marblestone — AI is missing something fundamental about the brain
The brain's secret sauce is its reward functions, not its architecture.
7 -
Thoughts on AI progress (Dec 2025)
What are we scaling? I’m confused why some people have short timelines and at the same time are bullish on the current scale up of reinforcement learning atop LLMs. If we’re actually close to a human-like learner, this whole approach of training on verifiable…
26 -
Sarah Paine — Why Russia Lost the Cold War
Oil crisis, Sino-Soviet split, ethnic rebellions, and arms build-up
16 -
Thoughts on AI progress (Dec 2025)
Why I'm moderately bearish in the short term, and explosively bullish in the long term
22