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47:04ENKevin Scott on AI Products, DeepSeek and the Future of Softwareゲスト Kevin Scott · ホスト Harry StebbingsMicrosoft’s CTO discusses model efficiency, agents, coding and why useful products matter in an AI transition.
26:05ENInside Claude: What Interpretability Research Reveals—and What It Cannot Yet ExplainMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s case studies on multilingual features, planning, arithmetic, hallucinations and safety.
2:13ENCan Speed Become a Competitive Advantage in the AI Era?An unidentified speaker reflects on AI-assisted work and smaller teams.
0:58ENWhy Prompt Caching Mattered to One AI Agent WorkflowA 2025 account of repeated context, stable prefixes and reported cost savings.
2:54ENManaging AI Agents Across Engineering, Design and ContentOne speaker describes how his organization is changing its workflows and staffing.
2:01:11ZH李广密:预训练、智能体与通向 AGI 的路线图ゲスト 李广密 · ホスト 张小珺在 2025 年第一季度访谈中,李广密讨论基座模型、编程环境、智能体与全球 AI 竞争,并分享其高度不确定的预测。
3:09:05ENFrom a Ukrainian Dugout, Douglas Murray Refuses to Forget the Obviousゲスト Douglas Murray · ホスト Lex FridmanWatching the Oval Office blowup from an eastern-front bunker, the author of *On Democracies and Death Cults* talks Putin, Zelenskyy, Hamas, Netanyahu, and the people who say they love death more than life.
11:31ENAI News in March 2025: GPT-4o, Gemini, DeepSeek and MCPMatthew Berman · Forward FutureMatthew Berman reviews model updates, the ARC-AGI-2 benchmark, image generators and early adoption of Model Context Protocol.
2:14:59ENAlways Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way Downホスト Nathan LabenzThe Firebase co-founder argues that workflow software is already obsolete, that MCP is optional, and that the only durable advantage left for an AI startup is speed.
48:09ENJulia Hoggett on London Listings, Pension Reform and the UK’s Capital Marketsゲスト Julia Hoggett · ホスト Harry StebbingsThe London Stock Exchange plc CEO argues that pension reform and more domestic investment could reconnect British savers with growing companies. She challenges common comparisons with US listings while acknowledging the trade-offs.
1:01:53ENOpen-source models are 5% of enterprise use — and GPT wrappers wonホスト Jacob EffronLatent Space's Swyx and Alessio join Redpoint to map what actually has product-market fit in AI, and why the application layer is the fight that matters.
17:03ENMatthew Berman Explores GPT-4o Image Generation and Its LimitsMatthew Berman · Forward FutureFrom animated trailer remakes to infographics and interface mockups, early examples show creative possibilities alongside persistent errors.
1:14ENNVIDIA NIM Microservices Bring Packaged AI Models to RTX PCsMatthew Berman · Forward FutureIn an NVIDIA-sponsored short, Matthew Berman introduces local AI microservices, compatible applications and the planned PDF-to-podcast workflow.
38:43ENTwo in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them Stayホスト Sarah Guo, Elad GilAbridge CEO Shiv Rao on treating the doctor-patient conversation as healthcare's source of truth, and why the company ran straight at the hardest health systems.
1:25:12ENHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line Repoホスト Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.
18:31ENGemini 2.5 Pro Experimental: Coding Demos and Launch BenchmarksMatthew Berman · Forward FutureIn March 2025, Matthew Berman tests Google’s experimental model on interactive simulations and reviews its launch benchmarks, including their limits.
1:24:12ENMitchell Green on Finding Software Companies and Returning Capital to Investorsゲスト Mitchell Green · ホスト Harry StebbingsLead Edge Capital’s founder explains his sourcing framework, exit discipline and skepticism about paying high prices for AI.
3:15:17ENDemocrats still think politics runs on money. It runs on attention.ホスト Lex FridmanEzra Klein and Derek Thompson tell Lex Fridman why the left keeps authorizing billions it cannot build, and why DOGE is a fight over control rather than efficiency.
1:37ENZooming Out by Powers of Ten: Seeing Cosmic ScaleGrant SandersonA rapid animation reveals distances while also compressing travel time.
24:14ENGPT-4o Image Generation: Launch Demos, Editing, and LimitationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman reviews OpenAI's March 2025 image-generation launch, testing text rendering, image editing, and visual consistency.
43:04EN750 Million Excel Users, 30 Million Engineers: Wordware's Bet on Word ArtisansFilip Kozera tells Sequoia why English is the assembly language of LLMs, and why the people who win will be the ones who can encode taste into structured prompts.
11:16ENA 2025 Comparison of AI Image Generation and EditingSelected prompts test object counts, idioms, readable text, edits and visual puzzles.
1:14:36ENAndrew Feldman on AI Chips, Inference and Competing With Nvidiaゲスト Andrew Feldman · ホスト Harry StebbingsThe Cerebras CEO explains wafer-scale computing, argues inference demand will grow and discusses the limits of his industry’s infrastructure.
1:43:54ENA Year to Grow a Brain Organoid, an Hour to Simulate Itホスト Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.
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