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44:47ENThe Last Mile Is Where Contact-Center AI Gets RealCresta CEO Ping Wu and Sequoia's Doug Leone on why 17 to 20 million agents, legacy systems, and last-mile integration will decide who wins customer experience.
2:42:06ENThe word 'evil' ends the conversation게스트 Julia Shaw · 진행자 Lex FridmanCriminal psychologist Julia Shaw talks with Lex Fridman about the dark tetrad, serial killers, jealousy, bisexuality, and why generative AI is the ultimate false-memory machine.
1:03:45ENMike Cannon-Brookes on AI Valuations, Software Design and Building Atlassian to Last게스트 Mike Cannon-Brookes · 진행자 Harry StebbingsThe Atlassian CEO explains why he expects more software engineers, how he evaluates AI bets, and why creativity matters across technology cycles.
36:58ENSTaR's Author Wants Models With EQ, Not Just More IQ진행자 Sarah Guo, Elad GilEric Zelikman, the Stanford and xAI researcher behind STaR and Quiet-STaR, launches humans& on the bet that three years of IQ scaling left models emotionally unintelligent.
1:32:36ENOpenAI’s AMD Deal and the Venture Math Behind AI’s Biggest Rounds게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss conditional chip warrants, AI development tools and what high valuations demand from investors.
1:53:50ENA curriculum rewrite takes five years. AI does not wait.진행자 Nathan LabenzJohan Falk, a Swedish teacher-turned-analyst, argues that AI literacy and AI friends are more urgent than putting a tutor in every classroom.
44:09ENGreg Brockman on Compute, Sora 2 and the Path to AGIMatthew Berman, Greg Brockman · Forward FutureMatthew Berman interviews OpenAI’s Greg Brockman about infrastructure constraints, proactive AI, developer risk and the future of work.
1:20:12ENCerebras CEO Andrew Feldman on AI Chips, Demand and Infrastructure Risk게스트 Andrew Feldman · 진행자 Harry StebbingsFeldman discusses Cerebras financing, chip design and data centers, while weighing talent, energy and market concentration.
1:37:25ENFin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Points진행자 Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.
58:21ENAttacks Take 23 Minutes. Response Still Takes Days.진행자 Sarah Guo, Elad GilPalo Alto Networks CEO Nikesh Arora on how AI is remaking search, enterprise software, and the timeline of a cyberattack.
1:24:58ENAI Burn Multiples, Infrastructure Financing and the Venture Market게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsJason Lemkin and Rory O’Driscoll join Harry Stebbings to debate funding, energy demand and the risks behind rapid AI growth.
1:01:49ENChatGPT's Co-Creator Left to Put Nature in the Reward Loop진행자 Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.
15:54ENClaude Sonnet 4.5: Coding, Long Tasks and a Simulated DesktopMatthew Berman, Dario Amodei · Forward FutureMatthew Berman reviews Anthropic’s launch claims and tries a generated-interface demo.
4:34:10ENPavel Durov Built Telegram for a Billion People. He Still Won't Carry a Phone.게스트 Pavel Durov · 진행자 Lex FridmanIn a four-and-a-half-hour conversation with Lex Fridman, the Telegram founder traces freedom from a childhood move out of the Soviet Union to a French jail cell, a poisoning, and a 40-person engineering team.
26:17EN21 Practical AI Uses for Design, Work and ResearchMatthew Berman · Forward FutureMatthew Berman demonstrates ways to use image tools, ChatGPT and NotebookLM for visual concepts, research, everyday work and study.
59:43ENGoose is writing its own pull requests: how Block is trying to save a quarter of the weekCTO Dhanji Prasanna tells Sequoia how an open-source agent, a functional reorg, and a weekly hours-saved metric are turning Block into an AI-first company.
1:31:19ENGroq Founder Jonathan Ross on AI Compute, Chip Competition and Energy게스트 Jonathan Ross · 진행자 Harry StebbingsRoss explains his view of inference demand, custom chips and infrastructure economics, and makes predictions about AI’s effects on markets and work.
2:20:35ENChatGPT Is a Thousand Days Old. Emad Mostaque Says We Have About a Thousand Left.진행자 Nathan LabenzThe Stability AI founder’s new economics argues that when intelligence is abundant, scarcity-based money and GDP stop making sense.
2:01:29ENAI Investing, Coding Competitions and the Future Economy: Forward Future LiveMatthew Berman, Nick Wentz, Mike Maples, Ahmed El-Kishky, Emad Mostaque · Forward FutureMike Maples, Ahmed El-Kishky and Emad Mostaque join Matthew Berman and Nick Wentz for a September 2025 discussion of AI startups, reasoning research and economic change.
0:58ENMicrosoft’s Nebius GPU Infrastructure AgreementMatthew Berman · Forward FutureIn a sponsored video, Matthew Berman discusses a 2025 infrastructure agreement and Nebius’s AI services.
1:22:07ENEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%진행자 Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.
1:01:49ENTwo Academic Hours a Day, and 96 Percent of Kids Say They Love School진행자 Sarah Guo, Elad GilTrilogy founder Joe Liemandt, now principal of Alpha School, tells No Priors how an AI tutor, a two-hour bargain with fifth graders, and a sports-coach ethos are meant to scale to a billion children.
1:25:48ENNvidia’s OpenAI Commitment, H-1B Policy and the Venture Investor’s Risk게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss AI infrastructure financing, IPO liquidity and how startup investors weigh concentrated bets.
1:02:05EN$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Math진행자 Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.
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