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2:51:22ENAI Minds and 8 mm Memories: Research, Archives and Simulation게스트 Cameron Berg, Phil Maher · 진행자 Nathan Labenz, Prakash NarayananCameron Berg discusses hidden model states; Phil Maher explains preserving home movies and a fly-brain demo.
1:49:56ENIan Quigley on Drug-Discovery Data, Model Shortcuts and Replayable Experiments게스트 Ian Quigley · 진행자 Brandon Anderson, RJ HonickyLeash Bio’s CEO explains DNA-encoded screening, hard generalization tests and agents that explore previously measured chemical landscapes.
24:05ENA First Look at Meta Muse Wonder on Agent and Design Tasks진행자 Claire VoClaire Vo reports strengths and weaknesses from her own small evaluation.
2:17:48ENAgent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to Bargain진행자 Nathan LabenzGovAI’s Alan Chan scores two years of agent-governance infrastructure with Nathan Labenz, then walks through a recursive-self-improvement paper co-authored with OpenAI’s Jakub Pachocki and Anthropic’s Jack Clark.
51:02ENMatt Hartman on Hugging Face, Technical Founders and Product Insight게스트 Matt Hartman · 진행자 Natalia QuinteroThe Factorial Capital investor discusses pivots, founder networks and what building his own AI app taught him about software.
58:26ENLiaquat Ahamed on 1873, Gold and the Politics of Financial Crises게스트 Liaquat Ahamed · 진행자 Tyler CowenTyler Cowen challenges the historian on deflation, monetary systems and debt.
38:30ENTheo Tests Gemini 4 Argon: Design Strengths and Code-Review ConcernsTheo Browne · Ping LabsA strong result on a narrow skateboarding benchmark contrasts with poor findings in Theo’s own codebase audits.
1:34:17ENInside Uber’s Developer Infrastructure for AI Agents게스트 Uday Kiran Medisetty · 진행자 Gergely OroszUday Kiran Medisetty explains gateways, context, background coding and review.
12:14ENGemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.
58:49ENNathan Lambert on Open Models, Frontier Labs and Trillium게스트 Nathan Lambert · 진행자 Lisha LiA discussion of compute, post-training data and an open research agenda for understanding AI automation.
44:12ENGLM 5.3, Sparse Attention and the Cost of Inference게스트 Kimbo Chen, Wenyao Gao · 진행자 Jordan NanosSemiAnalysis examines memory bottlenecks, AMD and NVIDIA serving results, post-training and support for Chinese chips.
28:05ENWhat a Contest to Replace a $43,000 SaaS Tool Revealed진행자 swyxBuilders, operators and an AI judge tested alternatives for conference speaker management.
55:32ENRyan Serhant on Selling, Time and the Cost of Ambition게스트 Ryan Serhant · 진행자 Shane ParrishA real-estate broker discusses relationships and career lessons with Shane Parrish.
10:36ENMeta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.
1:20:35ENDavid Vélez on Building Nubank and Banking’s AI Future게스트 David Vélez · 진행자 Patrick O'ShaughnessyThe founder discusses digital banking economics, global expansion and organizational change.
1:08:02ENAlphaGo Took Two Years. AlphaZero Took Hours. Silver Is Making the Same Bet on SuperintelligenceDavid Silver and Lasse Espeholt left DeepMind to build Ineffable Intelligence, a twenty-person lab that wants a superlearner to discover science, math, and language from experience rather than from a pre-training run.
38:02ENMeta’s Muse Wonder Full: A Coding Agent Tested Against Opus and SolTheo Browne · Ping LabsTheo Browne tests Meta’s new model on code review, debugging, delegation and benchmarks, finding promising strengths alongside important limits.
0:36ENOpenAI Employee Charged in Recording-Device InvestigationMatthew Berman · Forward FutureMatthew Berman discusses the reported discovery of a recording device and OpenAI’s account of its investigation.
1:21:05ENJason Ma on World-Action Models and Deploying Robots게스트 Jason Ma · 진행자 swyxA conversation about prediction, training data, hardware and real-world workflows.
0:53ENJason Calacanis on How AI Could Change Coding TogetherA short reflection on coding camaraderie and the shift toward delegating work to agents.
25:16ENMartin Shkreli on Quantum Computing, Drug Development and Prison게스트 Martin ShkreliThe investor explains his bearish quantum thesis, discusses pharmaceutical opportunities and reflects on the thinking that preceded his conviction.
18:18ENWhy AI Bills Can Rise as Intelligence Gets CheaperTheo Browne · Ping LabsTheo Browne explains the difference between token prices, task costs and capability, and why more useful agents can still drive larger bills.
58:54ENMike Cannon-Brookes on AI Agents, Enterprise Context and the Future of Interfaces게스트 Mike Cannon-Brookes · 진행자 Harry StebbingsAtlassian's CEO argues that agents make product design more important, explains the trade-offs in enterprise AI, and makes the case for slower thinking.
0:23ENWhy Theo Would Wait Before Upgrading for UltrafastTheo Browne · Ping LabsA short cost comparison leads Theo Browne to caution against upgrading to the $500 tier solely for Astra Ultrafast.
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