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1:28:48ENDoctors code at 45%. The model beat them by 12 points — then 4,000 physicians had to try it once.ホスト Nathan LabenzAmbience Healthcare and Cleveland Clinic walk through the AI scribe that cut pajama time, climbed ICD-10 with reinforcement fine-tuning, and won 75% voluntary use.
19:40ENGrok 4: Benchmark Results, Multi-Agent Reasoning and the Launch DemosMatthew Berman, Elon Musk · Forward FutureMatthew Berman examines xAI’s July 2025 model launch, including its reported reasoning scores, Heavy interface, demonstrations and pricing.
13:07ENAI News: Grok Controversy, New Models and the Competition for TalentMatthew Berman · Forward FutureMatthew Berman surveys Grok’s antisemitic posts, coding and creative tools, model releases, antibody design and AI hiring in July 2025.
1:12:57ENMeta’s AI Talent Drive, Microsoft Layoffs and the Economics of Startup Growthゲスト Rory O’Driscoll, Jason Lemkin · ホスト Harry StebbingsHarry Stebbings, Rory O’Driscoll and Jason Lemkin examine talent competition, stock compensation, acquisitions and the changing market for venture-backed companies.
44:44EN$1 of R&D, 35x the return: why Parker Conrad says platforms beat point solutionsホスト Sarah Guo, Elad GilThe Rippling CEO on Zenefits, founder psychology, and why shared underlying capabilities—not narrow focus—win in enterprise software.
31:03EN21 Ways to Use AI for Coding, Research and Everyday TasksMatthew Berman, Alex · Forward FutureMatthew Berman and editor Alex demonstrate AI workflows for documents, creative work, decisions, travel and reminders.
47:07ENGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.
1:42:06ENEvery Frontier Lab Is Spending a Billion a Year on Data. Here Is Where It Goesホスト Nathan LabenzLabelbox CEO Manu Sharma on the $15 billion Scale deal, RL “gyms,” $250,000 trainers, and why post-training now eats the budget that used to belong to pre-training.
1:14:02ENScott Galloway on Wealth, Work, Relationships and Purposeゲスト Scott Galloway · ホスト Harry StebbingsThe professor and entrepreneur discusses market power, generational inequality and the personal cost of tying identity to money.
2:57:07ZH余凯:从人工智能研究到地平线的创业十年ゲスト 余凯 · ホスト 张小珺地平线创始人余凯回顾三十年的研究与创业经历,讲述如何选择技术方向、聚焦汽车市场,以及他对人工智能未来的判断。
1:19:46ENSuspended from Columbia, He Raised $15 Million to Cheat on Everythingホスト Nathan LabenzRoy Lee, founder of Cluely, argues that an undetectable desktop overlay, AI maximalism, and a post-AGI life of 800-year spans are the same bet.
0:26ENxAI’s Memphis Expansion and an Overseas Power Plant, According to Dylan PatelMatthew Berman, Dylan Patel · Forward FutureMatthew Berman highlights Elon Musk’s response to Dylan Patel’s description of xAI’s computing and power plans in July 2025.
49:27ENFrom 0.1% to 20%: Chai-2 Turns Antibody Design Into Prompt Engineeringホスト Sarah Guo, Elad GilChai Discovery co-founders Joshua Meier and Jack Dent tell Sarah Guo how a generative model now designs antibodies that bind on the first 24-well plate.
1:15:40ENFigma’s IPO Filing, Melio’s Sale and the Pressure on Software Investorsゲスト Rory O’Driscoll, Jason Lemkin · ホスト Harry StebbingsHarry Stebbings, Rory O’Driscoll and Jason Lemkin examine software valuations, venture returns and the AI market’s changing economics.
1:09ENA Discussion of GPT-4.5’s Scaling and TrainingA speaker offers an assessment of GPT-4.5’s cost, speed and alleged training challenges.
1:25:32ENo3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI Villageホスト Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.
1:04ENWhy AI Companies Might Offer Researchers Enormous Pay PackagesMatthew Berman · Forward FutureMatthew Berman and a guest discuss the economics of competing for AI talent, comparing reported compensation offers with a hypothetical acquisition.
59:27ENAaron Levie on AI Agents, Jobs and the Future of Enterprise SoftwareMatthew Berman, Aaron Levie · Forward FutureBox’s CEO explains his AI-first strategy, why he expects demand to grow and how humans may direct and review agents.
2:53ENJane Street Interns on Projects, Mentorship and LearningDylan · Jane StreetFormer interns and staff describe the learning, open-ended projects and relationships that shaped their internship experience.
10:20ENMeta’s Superintelligence Labs and the Fight for AI ResearchersMatthew Berman, Sam Altman · Forward FutureMatthew Berman traces Meta’s 2025 investment in Scale AI, its recruitment from rival labs, and OpenAI’s response. The video’s claims about customer data and signing bonuses need important qualifications.
59:38ENElevenLabs Was Supposed to Be RoadkillCo-founder Mati Staniszewski on dirty audio data, prosumer virality, and why voice should become the default interface for technology.
1:02:17ENDylan Patel on AI Labs, Chip Competition and the Race for SuperintelligenceMatthew Berman, Dylan Patel · Forward FutureThe SemiAnalysis founder discusses Meta’s AI talent drive, OpenAI’s Microsoft relationship, Apple’s strategy, accelerator economics and the future of work.
1:04:33ENPhilipp Freise on KKR’s European Investing and Private-Market Liquidityゲスト Philipp Freise · ホスト Harry StebbingsThe KKR investor discusses deployment discipline, AI, European capital markets and broader access to private investments.
27:40ENSeedance 1.0 vs. Veo 3: An Informal Text-to-Video ComparisonMatthew Berman · Forward FutureMatthew Berman compares visual quality, motion and prompt adherence across gymnastics, action, animation and fantasy scenes.
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