Dwarkesh Patel

Dwarkesh Patel

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Deeply researched interviews

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How Machiavelli's Florence bargained with Cesare Borgia for survival – Ada Palmer
2:08:21
Dwarkesh Patel Dwarkesh Patel

How Machiavelli's Florence bargained with Cesare Borgia for survival – Ada Palmer

Ada Palmer explains that Machiavelli wrote *The Prince* during a crisis of institutional legitimacy in Italy, where constant papal interference and broken city-state continuity created chaos. His infamous advice was shaped by firsthand experience with Cesare Borgia, against whom Florence's only survival strategy was calculated submission—buying time through abject loyalty until fortune (in the form of a pope's death) intervened.

8 days ago · 10 points
Sarah Paine - Why Russia and China can't escape geography
1:02:07
Dwarkesh Patel Dwarkesh Patel

Sarah Paine - Why Russia and China can't escape geography

Sarah Paine argues that geography fundamentally constrains Russia and China to remain continental 'elephants' dependent on land armies and territorial expansion, lacking the geographic moats, sea access, and institutional stability required to become maritime 'whales' regardless of their ambitions.

15 days ago · 10 points
What remains scarce after AGI? – Alex Imas and Phil Trammell
1:16:09
Dwarkesh Patel Dwarkesh Patel

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

Alex Imas and Phil Trammell analyze what remains scarce after AGI, arguing that while a 'relational sector' where humans provide intrinsic value may persist, increasing variety in capital goods could cause labor share to collapse to zero unless we collect critical data on consumer preferences for human involvement.

20 days ago · 10 points
Chip design from the bottom up – Reiner Pope
1:20:20
Dwarkesh Patel Dwarkesh Patel

Chip design from the bottom up – Reiner Pope

Reiner Pope explains how AI chips work from fundamental logic gates up, revealing that the physical cost of moving data between memory and compute units (via multiplexers) often exceeds the cost of the actual mathematical operations, and that circuit area scales quadratically with precision, making low-precision arithmetic exponentially more efficient than commonly assumed.

about 1 month ago · 9 points
Building AlphaGo from scratch – Eric Jang
2:37:18
Dwarkesh Patel Dwarkesh Patel

Building AlphaGo from scratch – Eric Jang

Eric Jang demonstrates how modern LLM coding tools and algorithmic improvements have democratized AI research, enabling a single researcher to rebuild AlphaGo for thousands of dollars rather than millions, while explaining how Monte Carlo Tree Search combined with neural networks solved a game previously considered computationally intractable.

about 1 month ago · 9 points
The math behind how LLMs are trained and served – Reiner Pope
2:13:41
Dwarkesh Patel Dwarkesh Patel

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

Reiner Pope explains the mathematical mechanics behind LLM inference costs, demonstrating how 'Fast Mode' APIs charge premiums for smaller batch sizes that reduce latency, and why physical memory bandwidth constraints create hard limits on how fast or cheap inference can get regardless of budget.

about 2 months ago · 9 points
Michael Nielsen – How science actually progresses
2:03:04
Dwarkesh Patel Dwarkesh Patel

Michael Nielsen – How science actually progresses

Michael Nielsen dismantles the pop-science narrative of linear scientific progress through crisp experiments, revealing instead a messy, decentralized process where mathematical formalism often precedes conceptual understanding, expertise can blind researchers to truth, and communities adopt paradigm shifts long before experimental closure.

3 months ago · 10 points
Terence Tao – Kepler, Newton, and the true nature of mathematical discovery
1:23:44
Dwarkesh Patel Dwarkesh Patel

Terence Tao – Kepler, Newton, and the true nature of mathematical discovery

Mathematician Terence Tao compares Kepler's twenty-year process of testing random hypotheses against Tycho Brahe's dataset to modern AI capabilities, arguing that while artificial intelligence has eliminated the bottleneck of idea generation in science, it has simultaneously created an unprecedented crisis in verification and validation that current peer review systems cannot handle.

3 months ago · 8 points
Dylan Patel — The Single Biggest Bottleneck to Scaling AI Compute
2:31:04
Dwarkesh Patel Dwarkesh Patel

Dylan Patel — The Single Biggest Bottleneck to Scaling AI Compute

Dylan Patel explains that Big Tech's $600B CapEx represents multi-year pre-purchases of power and data centers through 2029, while AI labs face an immediate crunch where Anthropic's conservative compute strategy forces them to pay massive premiums on spot markets compared to OpenAI's aggressive long-term contracting.

3 months ago · 9 points