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49:39ENAnton Osika on Lovable’s Launch, Early Retention and Building AI Products in EuropeInvitado: Anton Osika · Presenta: Harry StebbingsThe Lovable co-founder explains the transition from an open-source experiment to a fast-growing app builder, and discusses hiring, fundraising and the limits of early retention data.
1:04:52ENThe Consumer Playbook That Put Medical AI in 100,000 Exam RoomsOpenEvidence CEO Daniel Nadler explains how a free App Store product, trained only on peer-reviewed literature, reached as much as a quarter of U.S. physicians in a year.
1:02:41ENMike Krieger on AI Products, Model Competition and the Future of CodingInvitado: Mike Krieger · Presenta: Harry StebbingsAnthropic’s chief product officer explains how he thinks about product design, model differentiation and the limits of current AI tools.
3:22:47ZH肖弘:从 Monica 到 Manus,如何在技术变化中创业Invitado: 肖弘 · Presenta: 张小珺两次访谈记录肖弘的创业经历、AI 产品判断,以及 Manus 发布前对智能体的设想。
1:08:51ENChip Controls Are Meant to Buy Ten Years, Not Win the AI RacePresenta: Nathan LabenzEconomist Noah Smith tells Nathan Labenz that U.S. export controls are a piece of conventional deterrence against China — not a plan to kneecap DeepSeek.
19:32ENGPT-4.5’s Launch: Conversational Style, Benchmarks and CostMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s February 2025 research preview, its selected demonstrations, reported evaluations and high launch pricing.
52:59ENGeorge Bonaci on Growth Experiments, Hiring and Finding New ChannelsInvitado: George Bonaci · Presenta: Harry StebbingsRamp’s growth leader discusses balancing speed with rigor, measuring results and building a team that can find opportunities beyond an existing playbook.
2:33:39ENThe Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI DefensesPresenta: Nathan LabenzA Google DeepMind security researcher on simple loss functions, 70% robust accuracy, and why the fix has to live in the system, not the model.
40:33ENModerna was only company 18. The real product is the company factoryPresenta: Sarah Guo, Elad GilNoubar Afeyan tells No Priors how Flagship Pioneering turned starting companies into a profession, underwrites scientific uncertainty, and wants AI to run discovery the way Waymo drives.
10:31ENGrok 3 and AI-Assisted Game Prototypes: A Tour of Creator DemosMatthew Berman · Forward FutureMatthew Berman explores browser games and generative art shared in February 2025, then recreates a simple 3D maze.
1:09:19ENOscar Pierre on Glovo’s Fight for Funding, Expansion and Sale to Delivery HeroInvitado: Oscar Pierre · Presenta: Harry StebbingsThe Glovo founder recounts a pivotal McDonald’s deal, repeated financing crises, a costly Brazil expansion and the decision to join Delivery Hero.
32:46ENDon't draw the flowchart: OpenAI's Deep Research team on training agents end to endIsa Fulford and Josh Tobin explain why Deep Research was trained with reinforcement learning on hard browsing tasks instead of a human-written graph of model calls.
7:59ENGrok 3’s Brief Misinformation Filter and the Question of AI BiasMatthew Berman · Forward FutureMatthew Berman examines an instruction that told Grok to disregard sources linking Elon Musk and Donald Trump to misinformation, and xAI’s explanation of how it reached users.
57:41ENA Hundred Million Cells, Four People, Three Days: Biology's ImageNet MomentPresenta: Sarah Guo, Elad GilVevo Therapeutics and the Arc Institute open-sourced Tahoe-100M and a 230-million-cell atlas in the same week — and argued that virtual cells, not just protein folders, are the next language model of biology.
9:35ENClaude 3.7 Sonnet and Claude Code: An Early Coding TestMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s 2025 launch benchmarks and builds an AI-controlled Snake game, then tests math and recent information.
1:18:09ENSteeve Morin on AI Inference, Chips and the Cost of Switching HardwareInvitado: Steeve Morin · Presenta: Harry StebbingsThe ZML founder explains the difference between training and production inference and offers a competitive view of the AI hardware market.
2:36:13ZH松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文Invitado: Songlin Yang(松琳) · Presenta: 张小珺从动态稀疏注意力到线性注意力混合架构:三条长上下文路线如何兼顾训练、推理与硬件效率
2:36:13ZH松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力机制Invitado: Songlin Yang(松琳) · Presenta: 张小珺从动态稀疏注意力到线性混合架构,理解长上下文模型如何在效果、内存访问和硬件效率之间取舍。
17:20ENVibe Coding a Login Page and an AI Tetris PlayerMatthew Berman · Forward FutureMatthew Berman experiments with AI-written code, iterates through failures and trains a basic game-playing agent.
17:04ENTraining AI Agents to Communicate in a Social-Deduction GameMatthew Berman · Forward FutureMatthew Berman explains Stanford researchers’ listening and speaking objectives in a simulated game inspired by Among Us.
0:54ENPerplexity’s R1 1776: A Comparison of Responses and BenchmarksMatthew Berman · Forward FutureMatthew Berman examines a post-trained DeepSeek-R1 variant and Perplexity’s tests of responses on sensitive topics.
54:55ENNew Jersey Cut Phone Waits from 40 Minutes to 90 SecondsPresenta: Nathan LabenzGovernor Phil Murphy on the state AI assistant, a Princeton hub, and why he wants the best catcher's mitt in the country when superhuman systems arrive.
7:41ENMicrosoft’s Majorana 1: The Quantum Computing Claim and Its LimitsMatthew Berman · Forward FutureMatthew Berman explains Microsoft’s proposed topological qubits and imagines future uses, while the published experiment supports narrower conclusions.
1:03ENMicrosoft’s Majorana 1 Quantum Chip: What Was Claimed and What Was DemonstratedMatthew Berman · Forward FutureMatthew Berman discusses Microsoft’s 2025 Majorana 1 announcement and its possible implications for quantum computing and cryptography.
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