最新の記事
4,404 件並び順
55:32EN
The Knowledge Project Podcast· 2026年10月13日ポッドキャスト · 2 人Ryan Serhant on Selling, Time and the Cost of Ambitionゲスト Ryan Serhant · ホスト Shane ParrishA real-estate broker discusses relationships and career lessons with Shane Parrish.
10:36EN
Matthew Berman· 2026年10月13日Meta 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.
1:20:35EN
Invest Like The Best· 2026年10月13日ポッドキャスト · 2 人David Vélez on Building Nubank and Banking’s AI Futureゲスト David Vélez · ホスト Patrick O'ShaughnessyThe founder discusses digital banking economics, global expansion and organizational change.
1:08:02EN
Sequoia Capital· 2026年10月13日ポッドキャストAlphaGo 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.
38:02EN
Theo - t3․gg· 2026年10月13日Meta’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.
0:36ENMatthew Berman· 2026年10月13日OpenAI 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.
1:21:05EN
Latent Space· 2026年10月13日ポッドキャスト · 2 人Jason Ma on World-Action Models and Deploying Robotsゲスト Jason Ma · ホスト swyxA conversation about prediction, training data, hardware and real-world workflows.
0:53EN
All-In Podcast· 2026年10月13日ポッドキャストJason Calacanis on How AI Could Change Coding TogetherA short reflection on coding camaraderie and the shift toward delegating work to agents.
25:16ENAll-In Podcast· 2026年10月12日ポッドキャスト · 2 人Martin Shkreli on Quantum Computing, Drug Development and Prisonゲスト Martin ShkreliThe investor explains his bearish quantum thesis, discusses pharmaceutical opportunities and reflects on the thinking that preceded his conviction.
18:18ENTheo - t3․gg· 2026年10月12日Why 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.
58:54EN
20VC with Harry Stebbings· 2026年10月12日ポッドキャスト · 2 人Mike Cannon-Brookes on AI Agents, Enterprise Context and the Future of Interfacesゲスト Mike Cannon-Brookes · ホスト 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.
0:23ENTheo - t3․gg· 2026年10月12日Why 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.
2:39:03EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月12日ポッドキャスト · 3 人AI Code Needs Specifications: Formal Verification and Human Controlゲスト Grigore Rosu, Everett Hildenbrandt · ホスト Nathan LabenzFrom Linux bug hunting to agent permissions, a discussion of proofs, intent and fallback plans.
0:35ENMatthew Berman· 2026年10月12日Why Human Creativity Still Matters in the Age of AI ImagesMatthew Berman · Forward FutureMatthew Berman argues that producing more images is different from creating work that resonates with people.
0:46ENMatthew Berman· 2026年10月12日Matthew Berman's AI-Assisted Super Mario World RecreationMatthew Berman · Forward FutureA short progress update describes a multi-day attempt to rebuild the game for a ModRetro handheld.
31:00EN
AI Explained· 2026年10月12日Why AI Labs Keep Racing Despite Their Own Warnings of a Major BreachSam Altman, John Schulman · OpenAIAI Explained examines weakening safeguards, the incentives behind the frontier race, and why research breakthroughs make the next 18 months difficult to forecast.
37:47EN
How I AI· 2026年10月12日ポッドキャスト · 2 人Designing Meta Muse: Status, Personalization and Everyday Agentsゲスト Alex Cornell · ホスト Claire VoAlex Cornell discusses consumer agent design and his own experiments with Muse.
32:06EN
a16z· 2026年10月12日ポッドキャスト · 3 人Recursive Self-Improvement: Loops, Costs and the Challenge of Measurementゲスト Dhaval Adjodah, Owen He · ホスト Martin CasadoMakerMaker.AI’s founders discuss their approach with Martin Casado.
1:12:06EN20VC with Harry Stebbings· 2026年10月10日ポッドキャスト · 2 人Max Freeman on Building Ramp’s Sales Machineゲスト Max Freeman · ホスト Harry StebbingsRamp’s sales leader explains how he hires, trains and equips sellers, from early outbound experiments to enterprise forecasting and AI-assisted research.
17:37ENMatthew Berman· 2026年10月10日AI Coding, Game Mashups and the Value of Human TasteMatthew Berman · Forward FutureMatthew Berman explains decompilation and game mashups, then argues that iterative AI coding changes software and creativity.
0:56ENMatthew Berman· 2026年10月10日AI, Reverse Engineering and the Possibility of Custom SoftwareMatthew Berman · Forward FutureMatthew Berman explores AI-assisted recreations of creative software and imagines applications tailored to individual needs. The legal and practical claims require more nuance.
1:33:14ENAll-In Podcast· 2026年10月10日ポッドキャスト · 5 人All-In: AI Consciousness, Mathematical Proofs and France’s Fiscal Debateゲスト Mustafa Suleyman · ホスト Jason Calacanis, Chamath Palihapitiya, David Sacks, David FriedbergThe hosts debate model welfare, the significance of AI-generated mathematics, European debt and the economics of AI agents.
47:40ENTheo - t3․gg· 2026年10月10日How Theo Used AI Agents to Port TypeScript to RustTheo Browne · Ping LabsThe TS Rust experiment combines a Go-to-Rust compiler port, subscription-based agent work and a prototype developer loop inside a V8 isolate.
2:00:51ENCognitive Revolution "How AI Changes Everything"· 2026年10月10日ポッドキャストResample Every Token and You Can Watch the Model Decideホスト Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.もっと見る4,404 件中 24 件を表示