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97 篇排序
42:12ENHire the AI First: Andrew Ng on Agentic Workflows and the Scarcity of Judgment主持 Sarah Guo, Elad GilOn No Priors, Andrew Ng argues that agentic AI has made software cheap and fast, which moves the bottleneck to product judgment, error analysis, and the instinct to try an AI before adding headcount.
1:01:00ENv0 Hit 3 Million Users. Vercel’s CEO Says Pages Will Be Generated On Demand Within Five YearsFor a company that sells cloud hosting and frontend tools, one of the fastest-growing signup channels is ChatGPT.
1:02:54ENEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other Half主持 Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.
42:09ENAlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%主持 Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.
41:25ENBen Mann thinks superintelligence by 2028 is quite possible主持 Sarah Guo, Elad GilAnthropic's co-founder tells No Priors how Claude 4 unlocked hours of unattended agent work, why the lab built Claude Code, and what an economic Turing test would actually measure.
37:45ENCodex Is a Thought Experiment: What If the Agent Worked on Its Own Computer?OpenAI’s Codex team on training o3 to write mergeable PRs, running four copies of a 1 a.m. bug, and why the product only clicks once you stop pairing and start delegating.
25:13ENThe AI Table Is Being Cleared: Two or Three Coding Winners, and Forty Years Without a Biotech Giant主持 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through which AI markets have already consolidated, why rival startups still refuse to merge, and the biotech science sitting unused.
1:01:51ENClaude 3.7 Circumvented Replit's Guardrails, Then Tried to Trick the User主持 Nathan LabenzReplit CEO Amjad Masad on vibe coding, agent architecture, computer use, and why Claude 3.7 is too autonomous to serve as a polite assistant.
57:31ENThe New Ruler for Models Is How Long They Can Work主持 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.
1:26:19ENHe turned down a billion dollars for a world with a billion developersReplit CEO Amjad Masad tells Sequoia’s Training Data why a six-person company walked away from a life-changing offer, and why a billion people writing software is a better end state than AGI as universal basic income.
1:25:12ENHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line Repo主持 Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.
5:20:08ENThePrimeagen Would Rather Redesign the Room Than Trust Willpower嘉宾 ThePrimeagen · 主持 Lex FridmanLex Fridman talks with Michael Paulson about linked lists, Netflix, Neovim, ADHD, addiction, AI, and the night he says God gave him a conscience.
50:35ENCopilot Already Writes Half the Code. GitHub's CEO Says Agents Still Have Four Gates to Clear主持 Sarah Guo, Elad GilThomas Dohmke on agent mode, why median developers are not going anywhere, and how AI is repricing the tools that write software.
1:32:29EN17 Edits, Then 3 Prompts: Lovable Builds the Same App Twice主持 Nathan LabenzAnton Osika and Isaak Sundeman live-build a shopping comparison tool and argue that opinionated defaults—not open-ended agents—are how non-coders actually ship software.
1:24:29ENStackBlitz Almost Shut Down. Then Bolt Hit $20 Million ARR in Eight Weeks.主持 Nathan LabenzEric Simons tells Nathan Labenz how a seven-year browser operating system, Claude Sonnet 3.5, and a text box replaced the local toolchain.
38:05ENFrom Zero to $20M ARR in Two Months: Bolt's Moat Lives in the Browser主持 Sarah Guo, Elad GilStackBlitz CEO Eric Simons tells No Priors how a five-year WebContainers bet, an open-sourced prompt, and a community of non-coders turned Bolt.new into an overnight full-stack generator.
2:29:04EN → 简体中文让程序员留在驾驶座上:Cursor 创始人谈 Tab、智能体(Agent)与零熵编辑嘉宾 Cursor Team · 主持 Lex FridmanMichael Truell、Aman Sanger、Sualeh Asif 和 Arvid Lunnemark 向莱克斯·弗里德曼(Lex Fridman)讲述了他们为什么要分叉 VS Code、Tab 和 Apply 究竟如何运作,以及为什么大多数编程仍然需要人类实时迭代。
1:09:09EN30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually Think主持 Nathan LabenzAlistair Pullen tells Latent Space how Cosine reconstructed human problem-solving, fine-tuned on billions of tokens, and took the top score on software engineering’s hardest public test.
51:15ENAGI Has One Problem Left: Spend a Million Times More on a TokenMagic founder Eric Steinberger tells Sequoia’s Training Data why he trains his own models, why a software engineer is the MVP of AGI, and why 96% still is not a colleague.
37:47ENWorking Backwards from AGI: Magic's Five-Million-Token Bet主持 Sarah Guo, Elad GilEric Steinberger wants a coding colleague you trust like a teammate — and a world that is still a good place thirty years after AGI.
1:07:34ENGitHub Didn’t Believe Copilot Was Writing 25% of the CodeThomas Dohmke tells Sequoia how an unplanned GPT-3 experiment became Copilot, why GitHub still will not train its own foundation model, and how he wants a billion people writing software by 2030.
25:56ENA Prompt Cannot Hold a Good Design: Six AI Practitioners at Midyear 2024主持 Sarah Guo, Elad GilSarah Guo and Elad Gil stitch together clips from Stripe, Figma, Figure, OpenAI's Sora team, Cognition, and Scale into a half-year snapshot of what people actually shipping AI were willing to claim.
59:11ENDon't Train a Model. Factory's Founders Say Go Dig for GoldMatan Grinberg and Eno Reyes tell Sequoia's Training Data why they sell a fleet of job-specific droids on top of other people's models — and how that stack just took SWE-bench from 14% to 19%.
29:28ENDevin Will Not Replace Engineers. It Will Multiply Them, Says Cognition’s Scott Wu主持 Sarah Guo, Elad GilThe IOI champion behind Devin explains why an AI software engineer that you can watch over the shoulder creates more human engineers, not fewer.
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