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46:23EN
20VC with Harry Stebbings· Feb 20, 2025Podcast · 2 speakersAdarsh Hiremath on Mercor, AI Recruiting and the Future of WorkGuest Adarsh Hiremath · Host Harry StebbingsThe Mercor co-founder discusses expert labor for AI labs, automated interviews, fundraising and his vision for a global labor marketplace.AI startups & small teamsHiringFuture of Work+2
4 slides9:43EN
Matthew Berman· Feb 20, 2025Testing Grok 3 on Games, Reasoning, and Web SearchMatthew Berman · Forward FutureMatthew Berman tries a new set of audience-suggested prompts, from a Snake–Flappy Bird mashup to a family-logic puzzle and a tesseract visualization.EvalsFoundation ModelsReasoning & test-time compute+1
3:18:45EN
Cognitive Revolution "How AI Changes Everything"· Feb 20, 2025Podcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesHost Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.Security & safetySafety & governanceEvals+3
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· Feb 20, 2025Podcast · 2 speakersKyle Vogt Pitched 120 Investors for Cruise. He Will Not Sell the Home-Robot CompanyHost Sarah Guo, Elad GilThe Twitch and Cruise co-founder tells Sarah Guo and Elad Gil why Tesla won on business model, why chores should be automated, and why a tiny AI-era team is enough.Enterprise & strategyCompany BuildingRobotics+3
Slides0:32EN
Matthew Berman· Feb 20, 2025Figure’s Humanoid Robots and Natural-Language InstructionsMatthew Berman · Forward FutureMatthew Berman comments on a 2025 Figure Robotics demonstration and the potential for household chores.RoboticsAI agents
44:34EN
Unsupervised Learning: With Jacob Effron· Feb 19, 2025PodcastThe Cheaper Intelligence Gets, the More of It We'll BuyHost Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.AgentsAgent engineeringReinforcement Learning+3
Slides0:51EN
Matthew Berman· Feb 19, 2025Mira Murati Announces Thinking Machines LabMatthew Berman · Forward FutureMatthew Berman reviews the new AI lab’s stated goals in its February 2025 announcement.AI startups & small teamsAI researchOpen-source ecosystems
1:00:09EN
Sequoia Capital· Feb 18, 2025PodcastDeepSeek's Jailbreaks Don't Matter. Giving the Model Arms and Legs DoesPalo Alto Networks CEO Nikesh Arora tells Sequoia's Training Data why cheap brains scramble the AI order, why attackers already move faster than defenders, and why refusing to experiment is the real risk.Security & safetyAI securitySafety & governance+3
4 slides13:24EN
Matthew Berman· Feb 18, 2025Grok 3’s 2025 Launch: Benchmarks, Reasoning and DeepSearchMatthew Berman, Elon Musk · Forward FutureMatthew Berman reviews xAI’s launch charts, a historical user-preference leaderboard and an early product demonstration.Foundation ModelsBenchmarksReasoning & test-time compute+1
1:25:52EN
20VC with Harry Stebbings· Feb 17, 2025Podcast · 2 speakersJonathan Ross on Groq, Inference Economics and the AI Infrastructure RaceGuest Jonathan Ross · Host Harry StebbingsThe Groq CEO explains his bet on inference chips, compares his company’s architecture with GPUs, and discusses the financing and power needed to scale.Infrastructure & deploymentModels & trainingAI cost & performance+2
53:07ZH → English
Zhang Xiaojun Podcast· Feb 17, 2025Podcast · 2 speakersZhang Yaqin on the AGI Roadmap: Information, Physical, and Biological IntelligenceGuest 张亚勤 · Host 张小珺Zhang Yaqin divides AGI’s development into information, physical, and biological intelligence. Information intelligence may approach human levels within five years, general-purpose robots may take about ten, and biological intelligence could expand human memory and health in twenty. He also discusses how large models can give autonomous vehicles and robots more data, common sense, and ability to act.AGIRoboticsAI research+2
6 slides18:05EN
Matthew Berman· Feb 16, 2025OpenAI’s Coding-Competition Study: o1-ioi, o3 and the Limits of the ResultsMatthew Berman, Sam Altman · Forward FutureMatthew Berman interprets OpenAI’s 2025 paper on reinforcement learning and programming contests. The results are strong on the studied benchmarks, but do not establish AGI or remove humans from model development.Reasoning & test-time computeReinforcement LearningBenchmarks+2
4 slides3:20:53ZH → English
Zhang Xiaojun Podcast· Feb 15, 2025Podcast · 2 speakersHe Junxian Explains DeepSeek’s Papers: From Base Models to ReasoningGuest 何俊贤 · Host 张小珺Follow the research through MoE, attention caches, training efficiency and reinforcement learning.AI researchModels & trainingReinforcement Learning+1
45:31EN
Matthew Berman· Feb 15, 2025Jerry Chow on Quantum Computing, Encryption, AI and Error CorrectionMatthew Berman, Jerry Chow · Forward FutureIBM’s quantum systems director explains qubits, cryogenic hardware, software and the work needed to make quantum computers useful.Quantum MechanicsCybersecurityAI research
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· Feb 15, 2025PodcastShe Never Sees a Row of Your Data. The Answers Still Clear 95%.Host Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.RAG & knowledgeContext engineeringKnowledge graphs+3
1:09EN
Cognitive Revolution "How AI Changes Everything"· Feb 15, 2025PodcastUsing AI’s Benefits While Considering Its RisksA speaker distinguishes faster adoption from unchecked scaling.AI AdoptionAI Safety
1:07EN
Cognitive Revolution "How AI Changes Everything"· Feb 15, 2025PodcastHow Interacting AI Agents Could Change the Wider SystemA speaker argues that simultaneous AI adoption could create unexpected interactions between agents.AI agents
4 slides8:04EN
Matthew Berman· Feb 14, 2025OpenAI’s February 2025 GPT-5 Roadmap and the Case for a Unified InterfaceMatthew Berman · Forward FutureMatthew Berman explains the proposed model-routing experience, GPT-4.5 and GPT-5 plans, and the product choices that prompted them.Model routing & gatewaysOpenAIProduct & UX+1
1:20:53EN
20VC with Harry Stebbings· Feb 14, 2025Podcast · 2 speakersSolly Solomou on Building LADbible, Social Media and Expanding to the USGuest Solly Solomou · Host Harry StebbingsThe founder recounts buying a Facebook page, creating a media business and learning to lead through rapid change.Company BuildingLeadershipProduct Strategy+2
49:36EN
No Priors: AI, Machine Learning, Tech, & Startups· Feb 14, 2025Podcast · 2 speakers86 Out of 100: Harvey's Playbook for Selling AI Into LawHost Sarah Guo, Elad GilWinston Weinberg on a Reddit blind test, expanding-and-collapsing product design, and why Harvey started with century-old firms instead of the mid-market.Enterprise & strategyEnterprise AIProduct Strategy+3
44:26EN
Sequoia Capital· Feb 13, 2025PodcastAn AI Application Is Still an ApplicationMongoDB's Sahir Azam tells Sequoia why vector search is a new primitive for unstructured data, not a replacement for transactions, and why retrieval quality is the last mile that gets AI into conservative enterprises.RAG & knowledgeVector searchRetrieval-augmented generation+3
5 slides15:33EN
Matthew Berman· Feb 13, 2025Latent Reasoning and Recurrent Depth: Scaling Compute Before the Next TokenMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines a 3.5-billion-parameter research model that repeats internal computations, and asks how it relates to language, planning and chain of thought.Reasoning & test-time computeModels & trainingAI research+2
Slides0:59EN
Matthew Berman· Feb 13, 2025What Is Vibe Coding? Matthew Berman Explains His WorkflowMatthew Berman · Forward FutureBerman describes using voice input and an AI coding editor to build software, test it, and feed errors back without reading the code.Vibe CodingCoding agentsDeveloper workflows & testing
1:08EN
Cognitive Revolution "How AI Changes Everything"· Feb 13, 2025Podcast · 2 speakersWhen Should AI Agents Cooperate?Two participants consider mutual benefit, conflicting incentives and the line between cooperation and collusion.Multi-agent systemsAI Safety
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