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3,219 件並び順
29:57ENAnthropic’s SpaceX Compute Deal and Claude’s Higher LimitsMatthew Berman, Thomas Kurian · Forward FutureMatthew Berman examines the May 2026 partnership, its announced capacity and usage changes, and questions about SpaceX’s separate Cursor deal.
4:18:22ENEvery Cycle Matters: The Volunteers Who Decode Almost All Internet Videoゲスト FFmpeg · ホスト Lex FridmanLex Fridman talks with Jean-Baptiste Kempf and Kieran Kunhya about FFmpeg, VLC, handwritten assembly, and the unpaid crew behind YouTube, Netflix, and a rover on Mars.
1:23:53ENCreators Cheer Filler-Word Removal and Boo Generative Videoホスト Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.
1:20:30ENTobi Lütke on Building Shopify, AI and the Future of Workゲスト Tobi Lütke · ホスト Harry StebbingsShopify’s CEO discusses long-term leadership, AI-assisted engineering and his views on employment and public policy.
1:23ENMatthew Berman Demonstrates Codex Creating a Population SpreadsheetMatthew Berman · Forward FutureA short demonstration shows an AI agent using a web search and a spreadsheet skill to produce a chart.
1:14:23ENBecca Lindquist on Clay’s Sales Hiring, Compensation and AIゲスト Becca Lindquist · ホスト Harry StebbingsClay’s head of sales explains how she evaluates candidates, designs incentives and builds customer champions in a product-led business.
42:57ENInference Is the Last Market: Baseten’s 30x Yearホスト Sarah Guo, Elad GilCEO Tuhin Srivastava on a billion-dollar inference cloud, why the app layer survives, and a GPU crunch worse than the narrative.
1:42:41ENTesting AI Reasoning, App Store Lookalikes and the Debate Over AnthropicMatthew Berman · Forward FutureIn a May 2026 livestream, Matthew Berman tests a car-wash prompt, discusses AI subscription limits and considers reported employee monitoring for model training.
1:48:43ENThe reward jumped from 3 to 180. Every Hacker News title was a Google layoff.ホスト Nathan LabenzCoreWeave's Kyle Corbitt walks Nathan Labenz through GRPO, rubrics, RL environments, and why most reward hacks are easy to catch once you know to look.
1:28:19ENAI Compute, Private Equity and the Narrowing Exit: A 20VC Roundtableゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsJason Lemkin and Rory O’Driscoll debate reported AI financing, software’s future and what private-equity losses could mean for venture investors.
17:56ENChildren, AI Sycophancy and Environmental Trade-offsMatthew Berman · Forward FutureMatthew Berman discusses a parent’s objections to a child using AI, then weighs supervised learning, chatbot reliability and data-center impacts.
1:20:29ENAdam Foroughi on AppLovin, AI and Building a Lean Companyゲスト Adam Foroughi · ホスト Harry StebbingsAppLovin’s CEO discusses staff cuts, AI-assisted engineering, compensation and public-market decisions, offering his account of a volatile company turnaround.
2:38:48ENA thousand searches for five cents, and a high score that did not require cheatingホスト Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.
48:49ENAmjad Masad on Replit, Coding Agents and the Future of Softwareゲスト Amjad Masad · ホスト Harry StebbingsReplit’s CEO discusses model routing, software economics, maintenance and the changing roles of builders and engineers.
17:21ENDeepSeek V4, Model Efficiency and the US–China AI DebateMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s April 2026 V4 preview and argues that efficient open-weight models raise questions for American AI providers and policymakers.
1:11ENAnthropic’s Coding Flywheel and the Compute ConstraintMatthew Berman · Forward FutureMatthew Berman sketches a proposed feedback loop linking coding models, enterprise revenue, data and compute, then argues that capacity could slow it.
1:50:05ENCursor Deal Claims, AI Valuations and the Enterprise Agent Race: A 20VC Roundtableゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsJason Lemkin and Rory O’Driscoll weigh a purported Cursor transaction, design software and enterprise agent infrastructure, while debating IPO and valuation risk.
3:36:29ENClaude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed Neutralホスト Nathan LabenzCameron Berg returns to The Cognitive Revolution to survey six months of introspection, functional-emotion, and model-welfare research, plus a still-unpublished case that learning and feeling may be the same phenomenon.
39:48EN400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AIホスト Sarah Guo, Elad GilPhilipp Herzig tells No Priors how SAP is rebuilding the company operating system for AI, and why scale, evals, and pricing will decide who wins.
3:01:44ENChildren, AI Overuse and a Live Test of ChatGPT Images 2Matthew Berman, Jonah, Brian · Forward FutureMatthew Berman discusses supervision and balance, then tests image generation with maps, math, code and visual prompts.
54:54ENAaron Levie on Enterprise AI, Software Value and the Future of Workゲスト Aaron Levie · ホスト Harry StebbingsThe Box CEO discusses how agents could reshape enterprise workflows, token budgets and software markets while humans remain involved.
2:12:51ENSteve Newman’s fifteen-app stack exists so he only has to look at one screenホスト Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.
1:03:25ENJake Paul and Geoffrey Woo on Attention, Investing and Boxingゲスト Jake Paul, Geoffrey Woo · ホスト Harry StebbingsThe Anti Fund partners discuss their venture strategy, creator culture, public life and ambitions in sport and business.
57:28ENCopying One ServiceNow App with a Language Model Costs Ten Times as Muchホスト Sarah Guo, Elad GilBill McDermott tells Sarah Guo why the SaaS apocalypse fails a cost test, why models still cannot close a case, and how agents are already doing most of ServiceNow’s customer-service work.
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