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3,679 件並び順
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月9日ポッドキャストZero the J-Space and a Model's Hidden Goal Lights Up on Token Oneホスト Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.
1:02:09EN
Sources Podcast· 2026年7月9日ポッドキャスト · 3 人Jon Steinback on Marker, AI and the Thinking Behind Writingゲスト Jon Steinback · ホスト Alex Heath, Ellis HamburgerThe Marker founder argues for an editor that asks questions instead of writing for the user; the hosts examine where AI fits in their own work.
24:43EN
Theo - t3․gg· 2026年7月9日Grok 4.5 for Coding: Theo’s Benchmarks and Early ExperienceTheo Browne · Ping LabsTheo Browne examines Grok 4.5’s cost, benchmark caveats, coding work and 3D experiments after early access in Cursor.
50:57EN
Unsupervised Learning: With Jacob Effron· 2026年7月9日ポッドキャストA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen Schmidhuberホスト Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.
1:27:05EN
20VC with Harry Stebbings· 2026年7月9日ポッドキャスト · 3 人20VC on AI Regulation, Compute Economics and Enterprise Adoptionゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported AI policy proposals, infrastructure spending, software deployment and startup liquidity.
41:05EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年7月9日ポッドキャスト · 2 人There is no moat: Booking’s CEO on a $1 stock, agentic travel, and why AI still doesn’t move the numbersホスト Sarah Guo, Elad GilGlenn Fogel cashed his 1999 bonus, joined Priceline in February 2000, and watched the Nasdaq peak a week later — then spent 25 years turning a near-delisting into a thousand-fold ride he now wants to spend on AI travel agents.
1:06EN
Matthew Berman· 2026年7月9日Two GPT-5.6 Coding Demos: A Block World and a SpreadsheetMatthew Berman · Forward FutureMatthew Berman shows a Minecraft-like game and an Excel-like application built with Codex and GPT-5.6.
0:20ENTheo - t3․gg· 2026年7月8日Theo on Guilt-Merging Pull Requests and Questioning CodeTheo Browne · Ping LabsA short reflection on why developers sometimes accept changes they do not think are right.
25:34ENMatthew Berman· 2026年7月8日Anthropic’s J-Space Research: What Its Experiments Reveal and What Remains UnknownMatthew Berman · Forward FutureMatthew Berman examines experiments on internal representations in Claude, from causal interventions to safety auditing and the limits of consciousness claims.
1:53ENMatthew Berman· 2026年7月8日What Anthropic’s J-Space Research Suggests About AI ReasoningMatthew Berman · Forward FutureMatthew Berman discusses internal model representations, interventions and the question of consciousness, while the research itself describes important limits.
28:11ENTheo - t3․gg· 2026年7月7日The Tradeoffs of Running Open-Weight AI Models LocallyTheo Browne · Ping LabsTheo Browne separates the value of open weights from the hardware, concurrency and cost constraints of local inference.
0:22ENTheo - t3․gg· 2026年7月7日Theo Asks Why Teams Need a Separate System for Environment FilesTheo Browne · Ping LabsA brief prompt to reconsider how development teams share environment configuration.
55:19EN
Sequoia Capital· 2026年7月7日ポッドキャストThe drone is 15% of Zipline: 140 million miles, zero incidentsKeller Rinaudo Cliffton and Eric Watson explain why the aircraft is the small part of an automated logistics system now cheaper than a car.
0:24ENMatthew Berman· 2026年7月7日Claude Fable 5 Access Extended Through July 12, 2026Matthew Berman · Forward FutureMatthew Berman reports a short extension for paid Claude subscribers, without a reset of their existing usage quota.
18:34ENMatthew Berman· 2026年7月7日Model Routing for AI Coding: A Worked Cost ExampleMatthew Berman · Forward FutureMatthew Berman separates planning, implementation and review to explain how different models can fit different tasks.
4:41EN
Jane Street· 2026年7月6日Inside Jane Street’s Internship: Projects, Mentorship and LearningCody · Jane StreetInterns and employees describe collaborative interviews, learning finance from the basics, and working on projects used by the firm.
0:20ENTheo - t3․gg· 2026年7月6日Theo on Markdown Files as Instructions for Coding AgentsTheo Browne · Ping LabsA short observation about how agent tools can change the scale of a software idea.
1:11:01EN20VC with Harry Stebbings· 2026年7月6日ポッドキャスト · 2 人Mike Mignano on AI Applications, Open Models and Venture Strategyゲスト Mike Mignano · ホスト Harry StebbingsThe USV partner discusses AI agents, token spending and the opportunities and risks for startups building above the model layer.
43:15ENTheo - t3․gg· 2026年7月6日Theo’s Fable 5 Workflow: Model Routing, PR Review, and VerificationTheo Browne · Ping LabsA practical walkthrough of delegating tasks across models and turning a stalled backlog into reviewed work, with cost and deployment boundaries.
1:11:53EN20VC with Harry Stebbings· 2026年7月4日ポッドキャスト · 2 人Sierra Co-founder Clay Bavor on Open Models, Enterprise AI and Building Teamsゲスト Clay Bavor · ホスト Harry StebbingsBavor discusses model selection and compute costs, deploying AI agents for enterprises, and how Sierra approaches hiring and company culture.
1:47:38ENCognitive Revolution "How AI Changes Everything"· 2026年7月4日ポッドキャスト19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every Chipホスト Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.
23:24ENTheo - t3․gg· 2026年7月4日Fable 5: Theo’s Take on Fallbacks, Subscription Limits, and CostTheo Browne · Ping LabsTheo Browne examines performance claims and shares the cost-saving workflow he used during a limited subscription window.
0:28ENTheo - t3․gg· 2026年7月3日Theo on the AI Bubble and the Value Beneath ItTheoTheo thinks AI is in a bubble, but says its underlying value remains an open question. He contrasts NFTs with the internet and its dot-com bust.
38:05ENTheo - t3․gg· 2026年7月3日Why Theo Moved His Agent Work to Linux MachinesTheoLong-running coding agents, laptop CPU load and slow small-file operations led Theo to build a networked fleet. He demonstrates SSH, a hardware KVM and T3 Code for remote work.もっと見る3,679 件中 24 件を表示