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50:38ENZach Perret on Founder Mode, Product Expansion and Building PlaidGuest Zach Perret · Host Harry StebbingsThe Plaid co-founder discusses delegation, difficult integration work, fundraising and the trade-offs of growing a multi-product company.
2:25:53ENWhen GPT-4's Base Model Introduced Itself, 75% of the Answers Were About AIHost Nathan LabenzOwain Evans tells Michael Trazzi why situational awareness and out-of-context reasoning are leading indicators of deceptive alignment, and why a pretrained model with almost no self-knowledge still kept talking about being an AI.
2:33:02ENA Brain Like Ours — and 300,000 Years Without a MonumentGuest Graham Hancock · Host Lex FridmanGraham Hancock tells Lex Fridman why Göbekli Tepe, the Younger Dryas, and a worldwide set of myths still look to him like the wreckage of an Ice Age civilization.
2:50ENInside Jane Street’s 2024 Internship ProgramSanemi, Brian, Xavier, Abby, Marcus, In Young Cho · Jane StreetInterns and staff describe an 11-week program built around learning, collaboration and hands-on projects across several disciplines.
0:59ENWhat Can Bitcoin’s Early Coins Tell Us About Satoshi?A speculative exchange about the unspent coins associated with Bitcoin’s creator.
9:38ENLiquid Foundation Models: Company Benchmarks and a Hands-On TestMatthew Berman · Forward FutureMatthew Berman reviews Liquid AI’s 2024 model and memory claims, then tries the 40B preview on coding, logic, and instruction-following prompts.
32:07ENA 10-Person Team, One Click, and Two Years of Fake DeadlinesNotebookLM’s product and design leads explain how a source-grounded research tool became a viral two-host podcast generator—and what they refuse to add next.
1:30:52ENDavid Frankel on Seed Investing, Liquidity and Backing FoundersGuest David Frankel · Host Harry StebbingsThe Founder Collective investor discusses reserves, fund economics, competing with incumbents and the long journey to returns.
1:06:23ENSylvain Gugger on Accelerating ML Models and Reproducing ResultsYaron Minsky, Sylvain Gugger · Jane StreetFrom learning-rate schedules to GPU bottlenecks and noisy market data, Sylvain Gugger explains how he approaches practical machine-learning performance.
58:50ZH → EnglishMeng Xing Reviews Tesla’s 2024 Robotaxi EventGuest 孟醒 · Host 张小珺From the Cybercab demonstration to fleet operations and robots, separating announced plans from demonstrated capabilities and business assumptions.
1:00ENA Research Perspective on Cellular Coordination and CancerA speaker uses collective intelligence as a conceptual framework for thinking about cells.
1:13:23ENAn AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.Host Nathan LabenzMichael Levin and Leo Pio Lopez on a multilayer embedding that predicted melanoma, a cancer with no mutations, and why biology's real interface is cognitive.
2:23:05ENWeak Men Aren't Good. They're Just WeakGuest Jordan Peterson · Host Lex FridmanJordan Peterson returns to Lex Fridman's podcast for a two-hour walk from Nietzsche's aphorisms through power, God, envy, psychopathy, and three years of pain that reset every night.
18:24ENTesla’s 2024 “We, Robot” Event: Cybercab, Robovan and Optimus in ContextMatthew Berman, Elon Musk · Forward FutureMatthew Berman reacts to Tesla’s robotaxi showcase and Elon Musk’s predictions, with later context on production and human-assisted robot demonstrations.
1:02:04ENJoão Moura and Matthew Berman on Tesla’s Robotaxi Vision and Building AI AgentsMatthew Berman, João Moura, Elon Musk · Forward FutureA 2024 livestream examines Tesla’s Cybercab and Optimus announcements, then turns to CrewAI, enterprise agent workflows and a small model comparison.
50:51ENEoghan McCabe on Intercom, AI Adoption and Freedom of SpeechGuest Eoghan McCabe · Host Harry StebbingsThe Intercom CEO discusses customer-support AI, remaining private and founder leadership, then debates political expression and misinformation with Harry Stebbings.
26:43ENTesting OpenAI o1 on Planning, Rules and Spatial ReasoningMatthew Berman · Forward FutureMatthew Berman reviews a 2024 pilot study comparing o1-preview, o1-mini and GPT-4 on six planning domains.
21:31ENThe State of AI in 2024: Research, Costs and RisksA historical review of selected report highlights and predictions.
54:45ENA Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on GeneralizationHost Nathan LabenzCTO Anastasis Germanidis tells The Cognitive Revolution why video is a fuller record of the world than text, why physics shows up without being programmed in, and how a small lab competes with unlimited compute.
1:15:08ENJeff Wang on Public and Private Investing, AI and Sequoia Global EquitiesGuest Jeff Wang · Host Harry StebbingsThe investor explains thematic research, portfolio construction and his 2024 views on AI infrastructure and technology platforms.
1:14:53ZH → EnglishMeng Xing on the Boom and Bust Cycles of Autonomous-Driving InvestmentGuest 孟醒 · Host 张小珺From Shunwei Capital and Didi operations back to venture capital, a practitioner reflects on eight years of change.
38:28ENHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Host Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.
59:30ENGPT-4 Gets Half Your Data Questions Wrong. Snowflake's Answer Is Systems DesignUsing an off-the-shelf model on enterprise data yields about 45% reliability—one wrong answer out of every two.
1:04:57ENEli Lilly CEO Dave Ricks on GLP-1 Medicines, Pricing and Drug ResearchGuest Dave Ricks · Host David FriedbergA 2024 interview on metabolic drugs, access, long-term treatment and the business of pharmaceutical research.
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