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1:08:51ENAJ Tennant on Enterprise Sales, Customer Success and HiringInvitado: AJ Tennant · Presenta: Harry StebbingsGlean’s sales leader explains how to move upmarket, make AI deployments successful and evaluate sales candidates.
18:28ENClaude 3.5 Sonnet’s 2024 Computer-Use Beta: Demos and LimitsMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s updated models and shows how a beta agent navigated software with screenshots and tool actions.
40:33ENCharlie Marsh on uv: Python Dependency Resolution and PerformanceCharlie Marsh · AstralThe Astral founder explains universal lockfiles, Python packaging constraints, and the data structures and cache design behind uv.
1:02:32ENThe More Important the Issue, the Less Anyone Discusses ItPresenta: Lex FridmanBernie Sanders tells Lex Fridman why drug lobbyists, campaign cash, and a healthcare system built for profit keep the biggest American problems off the table.
1:23:37ENNine of the top ten research ideas were Claude'sPresenta: Nathan LabenzStanford PhD student Chenglei Si ran a blind study pitting Claude 3.5 Sonnet against more than a hundred NLP researchers on novel research ideas.
41:42ENNeural Networks Are Still Waiting for Their ThermodynamicsOpenAI researcher Dan Roberts on why physicists keep migrating into AI, and why the field still lacks the equivalent of the ideal gas law.
1:03:41ENMamoon Hamid on AI Investing, Founder Conviction and Venture ReturnsInvitado: Mamoon Hamid · Presenta: Harry StebbingsThe Kleiner Perkins investor discusses application-layer opportunities, reserve decisions, exits and the founders behind his investments.
23:29ENAI News in October 2024: Swarm, Blackwell, Video Models and Edge AIMatthew Berman · Forward FutureMatthew Berman reviews a wide range of announcements, including OpenAI’s experimental agent framework and new models from NVIDIA and Mistral.
0:58ENA Hard Fork Host on AI and Uncertainty About the FutureA personal reflection on technology and long-term planning.
2:37:47ENThe intern who wrote GELU now wants humanity's last examPresenta: Nathan LabenzDan Hendrycks on activation functions, five-year benchmarks, jailbreaks that do not yield to scale, and stacking defenses because no single layer is trustworthy.
1:01:49ENAntoine Le Nel on Revolut’s Growth Engine and Marketing MeasurementInvitado: Antoine Le Nel · Presenta: Harry StebbingsRevolut’s growth chief discusses experimentation, cohort economics, brand marketing and remote teams, drawing on his earlier work at King.
1:23:27ENSaturnin Pugnet on AGI, Worldcoin and Proving Human IdentityMatthew Berman, Saturnin Pugnet · Forward FutureThe Worldcoin founding team member discusses AI scaling, openness, biometric personhood and a speculative future of abundance with Matthew Berman.
29:29ENThe Week AI Won Its First Nobels, Two Investors Listed Who Is Most at RiskPresenta: Sarah Guo, Elad GilSarah Guo and Elad Gil talk NotebookLM, intelligent NPCs, artificial wombs, OpenAI’s o1, and which businesses look AI-durable.
50:38ENZach Perret on Founder Mode, Product Expansion and Building PlaidInvitado: Zach Perret · Presenta: 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 AIPresenta: 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 MonumentInvitado: Graham Hancock · Presenta: 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 FoundersInvitado: David Frankel · Presenta: 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孟醒点评 2024 年特斯拉 Robotaxi 发布会Invitado: 孟醒 · Presenta: 张小珺从 Cybercab 展示到车辆运营和机器人,区分发布计划、实际能力与商业假设。
1:00ENA Research Perspective on Cellular Coordination and CancerA speaker uses collective intelligence as a conceptual framework for thinking about cells.
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