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1:01:38EN13-Hour Coffee and 2x Throughput: Physical Intelligence Crosses the Deployment LineKarol Hausman and Tobi Springenberg tell Sequoia’s Training Data how a general robot brain, plus real-world RL, turned coffee, laundry, and chocolate boxes into jobs that actually run.
5:13ENTesting Meta’s SAM Audio: Isolating Voices and InstrumentsMatthew Berman · Forward FutureMatthew Berman demonstrates prompt-based sound separation and effects in a Meta-partnered video.
1:06:10ENFuse CEO Alan Chang on Revolut, Energy and Building at Speed게스트 Alan Chang · 진행자 Harry StebbingsChang discusses his management approach, energy policy and Fuse’s growth while Harry Stebbings challenges several of his assumptions.
1:55:02ENAn Index Fund on AGI: How MATS Filters the Next 120 AI Safety Researchers진행자 Nathan LabenzRyan Kidd, co-executive director of MATS, tells Nathan Labenz why he will not shout a timeline, why every safety technique is also a capabilities technique, and who actually gets hired.
5:55ENTurning Images into 3D Models with Meta SAM 3DMatthew Berman · Forward FutureMatthew Berman demonstrates object extraction, body reconstruction, and a 3D-printing workflow in Meta's SAM Playground.
1:18:40ENWhen AI Becomes the Oil Well: Luke Drago on the Intelligence Curse진행자 Nathan LabenzThe Workshop Labs co-founder tells the FLI Podcast why a world of non-human production could recreate the resource curse — and how private data, open weights, and moonshot careers might still break it.
1:25:57ENMatt Fitzpatrick on Enterprise AI, Expert Data and Deploying What Works게스트 Matt Fitzpatrick · 진행자 Harry StebbingsInvisible Technologies’ CEO explains his approach to validating AI deployments, sourcing specialists and building customer-specific workflows.
3:52:17ENSome Infinities Are Larger Than Others진행자 Lex FridmanJoel David Hamkins walks Lex Fridman from Hilbert's Hotel through Gödel, the continuum hypothesis, and a set-theoretic multiverse where truth is not the same as proof.
1:18:15ENIf AI Becomes a Being, Steering It Is Slavery진행자 Nathan LabenzEmmett Shear and DeepMind's Séb Krier clash over whether alignment means controlling a tool or raising a creature that cares.
1:41:34ENThey Owned the Camera Partition—and Still Couldn't Crash the Helicopter진행자 Nathan LabenzKathleen Fisher and Byron Cook tell Nathan Labenz how formal methods turn some software bugs into closed cases, from a DARPA helicopter to AWS policies checked a billion times a second.
1:20:57ENMatt Godbolt: Inside Skylake’s Out-of-Order PipelineMatt GodboltA guided tour of instruction decoding, register renaming, execution and memory ordering, grounded in reverse engineering and careful measurements.
1:12:54ENInvestors’ 2026 Predictions: AI, Software Valuations and Employment게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll review 2025 and debate software stocks, possible IPOs and AI’s labor-market effects.
40:46ENDoctors Are Rushing to AI. Robotics Will Take a Beating First.진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil’s 2026 forecast for foundation models, IPOs, robotics, consumer agents, and the bets that are not about AI at all.
1:43:19ENA $100 Million Super PAC Named Him Public Enemy Number One. Donations Went Up.진행자 Nathan LabenzIn the second half of Cognitive Revolution’s year-end live show, Assemblymember Alex Bores, former White House adviser Dean Ball, and forecaster Peter Wildeford argue over state AI laws, chip sales to China, and what 2026 will actually feel like.
1:58:48ENARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AI진행자 Nathan LabenzCognitive Revolution’s first live show compresses nine conversations into a year-end scan of denial, sample efficiency, companions, memory, Gemini 3 Flash, and scientific judgment.
1:21:57ENCursor, Figma and the Race to Build Across AI Workflows게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss venture scale, software convergence and the risks of growth valuations.
1:18:05ENThe Real Bottleneck in AI Research Is Compute, Not Ideas진행자 Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.
1:00:15ENArjun Guha on How Language Models Represent Code and How People Prompt ThemArjun Guha · Northeastern UniversityExperiments with activation steering and student-written prompts reveal how programming models behave—and why evaluating them requires more than a single benchmark score.
38:21ENHow a Weekend Webcam Came to See 90 Billion Miles a YearSamsara CEO Sanjit Biswas on edge inference, messy road data, and why physical AI only counts once it is installed.
1:11:52ENDavid George on Venture Fund Scale, AI Economics and Backing Founders게스트 David George · 진행자 Harry StebbingsThe Andreessen Horowitz growth investor discusses private-market returns, AI company valuations and the judgment behind the firm’s investments.
48:00ENA Two-Second Vote Is Training Models to Be Clickbait진행자 Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.
2:06:09ENOne ChatGPT query is a second in the microwave진행자 Nathan LabenzAndy Masley walks Nathan Labenz through the energy and water math of AI, from a single prompt to an 80-gigawatt buildout.
2:05:13ENThe Ark Was Round: Irving Finkel on Cuneiform, Floods, and a Seal From 9000 BC게스트 Irving Finkel · 진행자 Lex FridmanA British Museum curator argues that writing is older than the textbooks say, that Noah inherited a Mesopotamian story, and that the oldest ark was a giant coracle.
41:38ENElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the Interface진행자 Sarah Guo, Elad GilIn Poland, watching a foreign film is a special kind of pain: one narrator, every character, a flat delivery from start to finish.
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