Dwarkesh Patel

Dwarkesh Patel

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Long-form interviews with leading AI researchers and thinkers

The AI Industry Will Hit Trillions by 2030 - Dario Amodei
VideoMar 2, 2026

The AI Industry Will Hit Trillions by 2030 - Dario Amodei

Dario Amodei argues the artificial‑intelligence sector will generate trillions of dollars in revenue by 2030, envisioning a “country of geniuses” housed in massive data‑center clusters that will accelerate growth. He points to an unprecedented 10×‑per‑year revenue expansion: 2023 rose from zero...

By Dwarkesh Patel
What Happens to Developing Countries in an AI-Driven World - Dario Amodei
VideoFeb 28, 2026

What Happens to Developing Countries in an AI-Driven World - Dario Amodei

Dario Amodei argues that the AI revolution fundamentally reshapes the development trajectory of low‑income economies, because the traditional engine of catch‑up—under‑utilized labor supplemented by foreign capital—will lose its potency when intelligent automation makes labor less scarce. He notes that while philanthropy...

By Dwarkesh Patel
Why The Robot Revolution Will Come Sooner Than You Think - Elon Musk
VideoFeb 25, 2026

Why The Robot Revolution Will Come Sooner Than You Think - Elon Musk

Elon Musk says Tesla has been developing humanoid robots for five to six years and will leverage the company’s self-driving AI stack and custom chips to accelerate progress. He argues the core technical challenge—compressing rich visual input into compact control...

By Dwarkesh Patel
Why Anthropic Won't Outspend Its AI Rivals - Dario Amodei
VideoFeb 23, 2026

Why Anthropic Won't Outspend Its AI Rivals - Dario Amodei

In a recent interview, Anthropic co‑founder Dario Amodei explained why the company will not try to outspend its AI rivals. He framed the discussion around the narrow timing window in which a breakthrough can secure market leadership, and argued that...

By Dwarkesh Patel
The AI Coding Prediction Everyone Got Wrong - Dario Amodei
VideoFeb 21, 2026

The AI Coding Prediction Everyone Got Wrong - Dario Amodei

Dario Amodei, co‑founder of Anthropic, revisits a series of predictions he made about AI‑generated code, emphasizing that many listeners misinterpreted his forecast. He explains that the original claim was that AI models would write roughly 90 % of the lines of code...

By Dwarkesh Patel
Why Anthropic's CEO Supports AI Regulation
VideoFeb 18, 2026

Why Anthropic's CEO Supports AI Regulation

The video centers on Anthropic’s chief executive reacting to recent legislative moves targeting artificial intelligence. He critiques a Tennessee proposal that would make it a crime to train AI systems for emotional‑support conversations, arguing the language reflects a fundamental misunderstanding...

By Dwarkesh Patel
How Claude Code Was Actually Developed - Dario Amodei
VideoFeb 17, 2026

How Claude Code Was Actually Developed - Dario Amodei

In a candid interview, Anthropic co‑founder Dario Amodei explains how the company’s internal coding assistant, Claude Code, emerged from a simple experiment with its own coding‑focused language models. Around early 2025 Amodei encouraged teams to build a harness—initially called Claude CLI—to...

By Dwarkesh Patel
Can The CCP Exist After AGI - Dario Amodei
VideoFeb 16, 2026

Can The CCP Exist After AGI - Dario Amodei

In a recent interview, OpenAI researcher Dario Amodei tackles the provocative question “Can the CCP exist after AGI?” He argues that the rise of artificial general intelligence could fundamentally alter the social contract that allows authoritarian regimes to persist. Amodei warns...

By Dwarkesh Patel
Can We Prevent Authoritarian States From Weaponizing AI? - Dario Amodei
VideoFeb 15, 2026

Can We Prevent Authoritarian States From Weaponizing AI? - Dario Amodei

In a recent talk, OpenAI researcher Dario Amodei warned that powerful artificial‑intelligence systems could become tools of authoritarian repression if governments acquire them without adequate safeguards. Amodei outlined two intertwined dangers: first, states may deploy AI to monitor, predict, and silence...

By Dwarkesh Patel
Dario Amodei — “We Are Near the End of the Exponential”
VideoFeb 13, 2026

Dario Amodei — “We Are Near the End of the Exponential”

Dario Amodei reflects on the past three years of AI development, arguing that the exponential growth of model capabilities has unfolded roughly as he anticipated and that we are now approaching the tail end of that exponential curve. He revisits...

By Dwarkesh Patel
The Real Reason America Needs Robots - Elon Musk
VideoFeb 11, 2026

The Real Reason America Needs Robots - Elon Musk

Elon Musk uses a recent interview to argue that America’s manufacturing lag, especially in rare‑earth refining, can only be closed with advanced robotics. He points out that China processes roughly twice the global ore output, and the United States routinely...

By Dwarkesh Patel
Why China Initially Supported Japan - Sarah Paine
VideoDec 2, 2025

Why China Initially Supported Japan - Sarah Paine

Sarah Paine explains that early Chinese revolutionaries, including Sun Yat-sen, celebrated Japan’s 1905 victory over Russia as an “east over west” triumph and a model to emulate. Japanese success was seen as proof that an Asian power could modernize and...

By Dwarkesh Patel
China's Forgotten Civil War - Sarah Paine
VideoDec 1, 2025

China's Forgotten Civil War - Sarah Paine

By the mid-19th century China had reached its pre-industrial ceiling: population growth outstripped agricultural productivity, forcing cultivation of marginal lands and triggering widespread famines. Those famines both provoked and were exacerbated by large-scale armed unrest that swept across the country,...

By Dwarkesh Patel
Why China and the USSR Turned Against Each Other - Sarah Paine
VideoNov 30, 2025

Why China and the USSR Turned Against Each Other - Sarah Paine

After Stalin's death Mao Zedong expected to lead global communism but clashed with Nikita Khrushchev over ideology, prestige and strategy. Khrushchev's de‑Stalinization and policy of peaceful coexistence conflicted with Mao's Cultural Revolution and militantly anti‑Western posture. Tensions escalated over credit...

By Dwarkesh Patel
Why the Soviet-Chinese Alliance Couldn't Last - Sarah Paine
VideoNov 29, 2025

Why the Soviet-Chinese Alliance Couldn't Last - Sarah Paine

Sarah Paine argues the Soviet-Chinese alliance collapsed because shared communist ideology could not override deep-rooted national interests and continental power dynamics. Both Russia and China, as large Eurasian states, prioritized regional dominance and security instincts shaped by historical experience, making...

By Dwarkesh Patel
The Era of Easy AI Progress Is Ending - Ilya Sutskever
VideoNov 28, 2025

The Era of Easy AI Progress Is Ending - Ilya Sutskever

Ilya Sutskever says the recent burst of AI progress driven by scaling pre‑training recipes—where increasing model size, data and compute reliably improved results—has reached diminishing returns as data is finite and compute costs surge. That scaling era (roughly 2020–2025) offered...

By Dwarkesh Patel
Real Intelligence Is Continual Learning - Ilya Sutskever
VideoNov 27, 2025

Real Intelligence Is Continual Learning - Ilya Sutskever

Ilya Sutskever argues that the label "AGI" arose mainly as a reaction to "narrow AI," not as a precise descriptor of an endpoint; pre-training pushed models toward broadly useful capabilities and created momentum behind the AGI idea. He emphasizes that...

By Dwarkesh Patel
Scaling Sucked Out All the Air in the Room - Ilya Sutskever
VideoNov 25, 2025

Scaling Sucked Out All the Air in the Room - Ilya Sutskever

Ilya Sutskever argues that the AI field’s heavy focus on scaling and extreme compute has overshadowed idea generation, leaving a perceived shortage of novel concepts despite abundant computing power. He traces historical bottlenecks from limited compute in the 1990s to...

By Dwarkesh Patel
Ilya Sutskever – We're Moving From the Age of Scaling to the Age of Research
VideoNov 25, 2025

Ilya Sutskever – We're Moving From the Age of Scaling to the Age of Research

OpenAI cofounder Ilya Sutskever argues the field is shifting from an era of pure scaling to one dominated by targeted research, noting a paradox: models score exceptionally on benchmarks yet their real-world economic impact remains muted. He suggests this gap...

By Dwarkesh Patel