Y Combinator

•

频道 • 2 个节目

科技

科技

一周一更
科技

科技

两周一更

8月13日

Chelsea Finn: This is the State of the Art in Robotics

Robots can already fold laundry, make espresso, clean kitchens, and assemble things. The harder problem is getting them to do those tasks reliably, for long periods of time, without a human babysitting them. At Startup School 2026, Physical Intelligence cofounder Chelsea Finn explains what it takes to build general-purpose robots that work in the real world. She shares how reinforcement learning pushed robot throughput up 2x, how their systems can run autonomously for hours, and why she believes robotics is entering its GPT era: moving from specialized models toward general-purpose systems that can work across tasks, robots, and environments. Transcript: https://www.ycrootaccess.com/p/chelsea-finn-on-the-next-decade-in
8月3日

Patrick Collison: "What If You Succeed?"

In 2009, Patrick and John Collison went to Startup School in Berkeley, got sushi in Potrero Hill afterward, and decided on the walk home to start Stripe. The reasoning, as Patrick remembers it, was that “we might as well because it probably won't be that hard.” It took two years to launch. Seventeen years later, at Startup School 2026, he talks with YC's Harj Taggar about dropping out of MIT twice, why founders should ask what happens if they succeed, and what Stripe's own data says about the best time to start a company.
7月31日

Alexandr Wang: “This is a Once-in-a-Civilization Opportunity”

Alexandr Wang's advice to his 18-year-old self: develop your own internal compass for how the future will unfold, and hold conviction in it against the noise. At Startup School 2026, the Scale AI (YC S16) founder — now leading Meta's Superintelligence Labs — talks with Garry Tan about rebuilding a frontier lab from scratch, why talent density compounds, and how to spot the exponential worth betting your twenties on.
8月7日

How To Design In The Agent Era

AI isn't just changing the tools designers use. It's changing how they build, ship, and stand out. In this episode of Design Review, Stephen Haney, founder of AI-native design tool Paper, joins YC General Partner Aaron Epstein to demo the agent-first workflow that's making Paper one of the fastest-growing design tools since Figma. Using live redesigns of user-submitted websites as examples, they break down the most common AI design tells, show how to fix them in seconds, and explain why the biggest risk for founders isn't moving too slow, it's shipping something that looks like everyone else.
6月19日

Why Domain Experts Are Winning In The Age Of AI

Bryant Chou co-founded Webflow, which today powers around 1% of all websites on the internet. Now he's back in the current YC batch with Ploy, an AI-powered website and marketing platform that doesn't just build your site — it connects to your analytics, CRM, and search console to optimize your marketing while you sleep. In this episode of the Lightcone he explains how he built Ploy to be “anti slop,” how building today compares to his first startup, and why founders with domain expertise are making a comeback.Chapters:00:00 — What Experience Gives You in the Age of AI00:38 — Meet Bryant Chou, Co-Founder of Webflow01:22 — His New Startup Ploy02:47 — Rebuilding the Posterous website From 200803:27 — Rebuilding the Scribd website From 200705:04 — Rebuilding the Auctomatic website From 200706:19 — Rebuilding the Escher Reality website From 201707:11 — 12% of the YC Batch Uses Ploy08:26 — The D&D Theory of Founder Skills10:05 — Democratizing Marketing and Growth10:50 — Live Demo: The Design Slurper13:21 — Your Website Should Work for You While You Sleep14:26 — Integrations, Analytics, and the Marketing Brain17:27 — Ploy's Anti-Slop Engine: 3,500 Curated Design Prompts20:05 — The Andy Warhol Theory of AI22:35 — Webflow Origin Story24:26 — Building in a Competitive Market Then vs. Now26:01 — First Three Months: Webflow 2013 vs. Ploy 202527:17 — What Experience Teaches You That Models Can't28:51 — Will Better Models Kill Products Like Ploy?30:32 — The Competitive Moat of Purpose-Built AI33:01 — Agents as Customers: CLI, MCP, and AEO35:02 — Young Founders vs. Experienced Founders36:36 — The Idea Maze and Cloning Yourself With AI42:37 — The Magnifying Glass MomentApply to Y Combinator: https://www.ycombinator.com/applyWork at a startup: https://www.ycombinator.com/jobs
7月28日

Boris Cherny: Building Claude Code

Fresh off the launch of Opus 5, Claude Code creator Boris Cherny joins Diana Hu at Startup School 2026 to talk about what the newest models can do, how Claude Code came to be, and what it means to build products when the underlying capabilities keep accelerating.
8月6日

Garry Tan: Own Your Intelligence

The next generation of startups will be built by smaller teams than ever before. At Startup School 2026, YC President & CEO Garry Tan explains why we're entering the era of personal AGI: AI agents that run on your own infrastructure, compound your knowledge over time, and dramatically increase your ability to build. He shares the tools and workflows he uses every day, why every founder should own their intelligence instead of renting it, and what it means to build under your own power. Transcript: https://www.ycrootaccess.com/p/garry-tan-own-your-intelligence
8月11日

Peter Steinberger: "Fun Is Velocity"

Last November, Peter Steinberger was annoyed that there was no good way to talk to his coding agents from his phone, so he built one himself. A few months later, OpenClaw had exploded into one of the biggest open source AI projects in the world, with nearly 3,000 contributors and a peak of 4.7 million weekly downloads.At Startup School 2026, Peter tells the story of what happened when OpenClaw took off, what he got wrong as it grew, and how he eventually stopped using the product he had built for himself.He shares why the best products often start with something that annoys you, why focus matters more as building gets easier, and why, in his words, “fun is velocity.”Transcript: https://www.ycrootaccess.com/p/peter-steinberger-what-happens-when
8月10日

Max Hodak: How Startups Build Speed

Science is building a retinal implant that restores vision to people who have gone blind. One patient has already used it to read a 300-page novel.Building a company like that requires a lot more than getting the technology right. At Startup School 2026, Science CEO Max Hodak explains how the company buys things and hires people, and why those systems determine how fast it can move.He also gets into why founders can’t delegate their judgment, and why there’s no set of five bullet points that makes a startup work.Transcript: https://www.ycrootaccess.com/p/max-hodak-there-are-no-blanket-rules
8月1日

Jeff Dean: The 1% Rule for Building in AI

In 2001, Jeff Dean and Sanjay Ghemawat did the math and realized Google’s entire search index would fit in RAM — then shipped it in a few days, and search got fast. In 2013, another napkin calculation showed that three minutes of daily speech recognition per user would require doubling Google’s server fleet. That one became the TPU. At Startup School 2026, Google’s Chief Scientist talks with YC’s Diana Hu through the thought experiments behind both, why inference hardware is the next specialization, and where two or three people in a room can still win. Transcript: https://www.ycrootaccess.com/p/jeff-dean-the-1-rule-for-building

Make something people want.