絞り込み結果
24 件並び順
1:13:48ENCarriers Spend $200 Billion a Year. The Money Went Up the Stackホスト Jacob EffronBenedict Evans tells Jacob Effron why analogizing AI to past platforms is a dead end, and why looking at how those platforms actually made money is not.
57:37ENThe hot-swap era for models is over, OpenAI's enterprise product chief saysホスト Jacob EffronOlivier Godement on GPT-5.1, Codex, enterprise harnesses, and the three practices that actually make AI land inside large companies.
1:16:53ENKarpathy Called Today's Models Slop. His Decade Timeline Still Sounds Bullishホスト Jacob EffronDatology AI's Ari Morcos and Radical Ventures' Rob Toews walk through Karpathy's cold water, OpenAI's dealmaking, and who actually pays for the data-center boom.
42:20ENA Name Invented at 2:30 a.m. Put Gemini on Top of the App Storeホスト Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.
57:31ENThe New Ruler for Models Is How Long They Can Workホスト Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.
51:19ENSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Productホスト Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.
35:24ENScott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the Moatホスト Jacob EffronAdobe’s chief product officer tells Unsupervised Learning why Project Neo leaking into Firefly, a three-second Premiere extend, and Superhuman-priced software all point to the same shift.
52:41ENA Broken Belt Buckle Turned Gucci's Call Center Into a Sales Floorホスト Jacob EffronSalesforce AI CEO Clara Shih on Service GPT, Einstein Copilot, and why trust—not cost—is the real bar to enterprise scale.
1:01:47ENInside Notion AI: Prototypes That Annoy Everyone, Evals Built In-House, and Models Rented from Partnersホスト Jacob EffronNotion AI engineer Linus Lee explains how a dozen-person team went from a hotel-room hackathon to Writer, Autofill and workspace Q&A.
1:09:31ENThe Staircase to an AI Tutor: Connor Wick on Speak, Moats, and Voice-First Learningホスト Jacob EffronHow Speak's CEO is building a fluency product one model-capability step at a time, from specialized speech models to evals, pricing, and the future of education.
53:02ENAdobe's Firefly Bet: A Billion Beta Images, Creative Control, and Trust at Scaleホスト Jacob EffronAdobe's Alexandre explains how Firefly moved from research to product, how Adobe balances creative control with generative speed, and why trust and feedback loops are central to its AI strategy.
1:03:24ENWhy Sora Bet on People, Not Just Pixelsホスト Jacob EffronThe Sora team explains how a video model became a social creation network, what cameos revealed about human creativity, and why the next frontier is world simulation.
51:30ENLess Email, Better Thinking: Grammarly’s CEO on AI That Augments Communicationホスト Jacob EffronGrammarly CEO Rahul explains how the company is moving from grammar checks to end-to-end communication assistance—and why evals, user data, and measurable outcomes matter.
1:04:25ENInside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job Enduresホスト Jacob EffronGitHub CEO Thomas explains how Copilot went from a research bet to 1.3 million developers, and what agents, fine-tuning and a multi-model world mean for the next five years of software.
57:08ENShipping Finn: Intercom's Product Playbook for the ChatGPT Eraホスト Jacob EffronDes Traynor explains how Intercom pivoted to AI, shipped Finn, built guardrails, and turned customer support into a product lab for LLMs.
1:11:47ENThe Three-Hour Battlefield: Rahul Vohra on Why Email Survives and Agents Will Inherit the Inboxホスト Jacob EffronSuperhuman's CEO explains how AI features are designed, why email addresses remain company infrastructure, and how agents may federate across the tools professionals live in.
1:09:00ENThe Meeting Is the Moat: Fireflies.ai’s Path to 16 Million Usersホスト Jacob EffronKrish Ramani explains how Fireflies.ai turned AI note-taking into a meeting chief of staff, why he avoids fine-tuning, and how a startup competes with Microsoft, Zoom, and Google.
58:19ENRunway's Chris Valenzuela on Why Taste Beats Tools in Generative Mediaホスト Jacob EffronChris Valenzuela, CEO of Runway, explains why generative media is still early, how taste and iteration shape the work, and what has to change before AI media becomes a new art form.
54:05ENServal's Jake Stout on Outbuilding ServiceNow: Mirror the System of Record, Bet on Code, and Ship Before the Incumbent Can Book a Meetingホスト Jacob EffronHow an AI-native employee-support startup attacks a legacy ITSM incumbent with velocity, code-generated workflows and a permissions-first architecture.
50:23ENOpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence Arrivesホスト Jacob EffronPeter Welinder explains OpenAI’s platform strategy, the case for proprietary frontier models over open source, the enterprise hallucination problem, and his speculative timeline for AGI and superintelligence.
44:53ENLegora's CEO on Building Legal AI That Survives the Next Model Releaseホスト Jacob EffronMax explains how Legora turns fast-moving model capabilities into end-to-end legal work, enterprise adoption, and a durable product strategy.
1:06:22ENPerplexity's Bet: Search Becomes Answers, and Answers Become a Businessホスト Jacob EffronThe Perplexity CEO explains how a consumer AI search product is built, sequenced, and defended against Google.
1:04:27ENPeter Deng on Why AI Pricing, Evals and Voice Are Still Misunderstoodホスト Jacob EffronA product leader's guide to pricing AI around work, making evals the spec, and why voice and proactive agents are underrated
1:02:15ENSuno’s CEO Says the Future of Music Is a Conversation, Not a Promptホスト Jacob EffronSuno CEO Mikey Shulman explains how AI music is moving from text prompts to co-creation, why music evals are subjective, and what he would build next.








