絞り込み結果
92 件並び順
21:02ENLimitless Pendant: A 2024 AI Wearable Launch and Its Privacy PromisesMatthew Berman, Dan Siroker · Forward FutureMatthew Berman watches the original Limitless announcement, weighing its promised recording features, consent controls and price against the risk of buying future functionality.
26:03ENGPT-4-Class Models Will Be Cheap. The Frontier Will Still Need a Patron.ホスト Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Mosaic’s Law, Microsoft’s Inflection hire, where the real money sits, and why the first AI wave looks consumer.
24:22ENJonathan Ross on Groq's Inference Chips, AI Economics and Human AgencyMatthew Berman, Jonathan Ross · Forward FutureThe Groq founder explains the company's compiler-first approach and argues that inference speed could enable new applications, while discussing risks of handing decisions to AI.
23:47ENAndrew Ng’s Four Agentic Workflow Patterns, Explained by Matthew BermanMatthew Berman, Andrew Ng · Matthew BermanReflection, tools, planning and collaboration can turn a single model response into an iterative workflow, with reliability and cost tradeoffs.
27:32ENFrom a side project to 700 integrations: Harrison Chase on what still blocks agentsホスト Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.
22:17ENQ* Rumors, Energy-Based Models, and Research on ReasoningMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines an anonymous, unverified account of Q* and compares its ideas with published research on teaching language models to reason.
16:27ENMatthew Berman Reviews EMO’s Audio-Driven Portrait Video ResearchMatthew Berman, Jensen Huang · Forward FutureAlibaba researchers animate a portrait from an image and vocal audio; Berman examines the method, its limitations and the implications for trust in video.
21:00ENJim Fan's Foundation Agent Vision: Skills, Robot Bodies, and SimulationMatthew Berman, Jim Fan · Forward FutureMatthew Berman examines research on Minecraft agents, varied robot bodies, and simulation as steps toward more general embodied AI.
19:10ENThe World's Only Capped-Profit Companyホスト Sarah Guo, Elad GilNo Priors looks back at 2023 through eight conversations on money, intelligence, jobs, and who should put the guardrails on a model.
29:58ENRabbit R1’s 2024 Launch Demo: An AI Assistant Built Around ActionsMatthew Berman, Jesse Lyu · Forward FutureMatthew Berman reviews Rabbit’s launch presentation, from voice-controlled services and experimental teach mode to its proposed $199 device.
27:14ENSeven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second Inningホスト Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.
26:40ENMatthew Prince and Harry Stebbings Debate How Narrowly Startups Should Focusゲスト Matthew Prince · ホスト Harry StebbingsThe Cloudflare co-founder and 20VC host examine early customers, ambitious visions and the different goals of venture-backed and bootstrapped companies.
29:38ENMarc Benioff on Salesforce, San Francisco and Personal Prioritiesゲスト Marc Benioff · ホスト Harry StebbingsThe Salesforce co-founder discusses his AI ambitions, a five-question planning framework, philanthropy and work arrangements.
29:38ENA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.ホスト Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.
24:40ENTim Urban on Curiosity, Research and the Writing Processゲスト Tim Urban · ホスト Harry StebbingsThe Wait But Why writer explains how he chooses questions, learns unfamiliar subjects and turns research into stories for curious readers.
23:22ENAdam Mosseri on Launching Threads: Social Graphs, Creators and Retentionゲスト Adam Mosseri · ホスト Harry StebbingsEight days after launch, Instagram’s head explains how Threads used existing relationships, recruited early creators and faced the harder problem of keeping users.
23:20ENRishi Sunak on UK AI Policy, Talent and Education in 2023ゲスト Rishi Sunak · ホスト Harry StebbingsThe then prime minister discusses an AI task force, skills and visa initiatives, and the political priorities he wanted to pursue.
26:18ENAvlok Kohli on Startup Funding, Fund Liquidity and AngelList’s AI Workflowsゲスト Avlok Kohli · ホスト Harry StebbingsA 2023 conversation about venture financing conditions, secondary fund positions and automating parts of fund administration.
28:48ENRishi Sunak on Talent, Investment and Policy Trade-Offs in 2021ゲスト Rishi Sunak · ホスト Harry StebbingsIn an interview recorded while he was chancellor, Sunak discusses startup-inspired policymaking, immigration proposals, the Future Fund and the limits of government action.
16:03ENQuantum Supremacy Is a Well-Defined Speedup, Not a Useful Taskゲスト Scott Aaronson · ホスト Lex FridmanScott Aaronson explains what Google's 53-qubit experiment actually demonstrated, how it was verified, and why complexity theory can offer evidence but not proof against classical spoofing.
20:44ENThe Staff Job That Became a Dictatorship: Stalin's Improbable Road to Powerゲスト Stephen Kotkin · ホスト Lex FridmanStephen Kotkin traces how war, revolution, contingency, and a new administrative post let Stalin build a personal dictatorship inside the Bolshevik regime.
20:34ENTeaching Machines the Frameworks Humans Take for Grantedゲスト David Ferrucci · ホスト Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.
23:58ENEffective ML: Errors, Abstraction and Managing ComplexityYaron Minsky · Jane StreetA Jane Street engineer discusses explicit failure, boilerplate, type-system restraint and the practical role of side effects.
24:22ENCraftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Muskゲスト Jim Keller · ホスト Lex FridmanThe veteran chip architect explains why he thinks autonomous driving is a tractable engineering problem, how Tesla's cost constraints shaped its hardware, and what he took from Musk's way of thinking.
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