Y Combinator

•

채널 • 2개의 프로그램

과학 기술

과학 기술

격주 업데이트
과학 기술

과학 기술

격주 업데이트

4일 전

How To Build Superintelligence Inside Your Company

Building superintelligence inside a company isn't about adding AI as a feature. It's about making it the operating system the whole organization runs on. In this episode of the Lightcone, we sat down with YC's Pete Koomen to talk for the first time about how he led the effort to build YC's internal agent infrastructure from the ground up. We cover how giving agents unrestricted access to one database changed everything, the self-improving skill loops that get smarter overnight and why he thinks we've arrived at the personal computer moment for AI.Chapters:00:00 — Intro00:39 — YC's AI Stack02:15 — The Finance Team Problem That Started It All05:07 — SQL Access Changes Everything07:20 — One Database to Rule Them All09:14 — Jevons Paradox 10:07 — Denormalizing for Agents (G-Brain)12:15 — The Single-Player Era of Agents14:16 — 350 Tools and a Shared Registry16:24 — Skillify, DRY, and MECE Resolvers18:23 — The Self-Improving Dream Cycle20:26 — The Two-Sentence Pitch Skill23:06 — How Super Intelligence Compounds25:10 — Recording Everything as a Building Layer27:10 — The Shared Organizational Brain29:18 — Trust-Default Culture as a Requirement30:44 — Raising the Floor for New Employees32:35 — Horseless Carriages Essay Explained34:24 — Why Chat Is the Best Interface for Agents36:10 — Garry's List → G-Brain Rewrite38:50 — Just-in-Time Software40:49 — Centralizing vs. Decentralizing AI43:32 — The Personal AI RevolutionApply to Y Combinator: https://www.ycombinator.com/applyWork at a startup: https://www.ycombinator.com/jobs

4일 전

•

46분
6일 전

How The Best Companies Defend Against Mediocrity And Rot

In this episode of the Main Function Garry sits down with Eric Ries, author of "The Lean Startup", about his new book, "Incorruptible: Why Good Companies Go Bad And How Great Companies Stay Great". Ries breaks down why shareholder primacy often leads to company and product degradation, how founders can lose control of the companies they build, and what legal structures and governance models can protect a company's core mission from outside threats.

6일 전

•

50분
5월 13일

Paul Graham: Should you move to Silicon Valley?

Paul Graham is a co-founder of Y Combinator. He's funded and mentored companies like Dropbox, Airbnb, DoorDash, and thousands of others through YC, and is one of the most influential voices in the startup world. In this talk at our YC | Stockholm event last month, Paul walks through why ambitious founders should move to Silicon Valley at least briefly, what makes it uniquely valuable — from serendipitous meetings and faster investor decisions to a deeply embedded pay-it-forward culture — and why returning home afterward may be one of the most powerful things a founder can do to help their local ecosystem, using Stockholm as a case study for what it would take to become the Silicon Valley of Europe.

5월 13일

•

22분
5월 8일

Tokenmaxxing: How Top Builders Use AI To Do The Work Of 400 Engineers

We're entering a new era of software where a single person, working with AI agents, can build products that previously required entire teams.In this episode of Lightcone, the hosts break down the rise of AI coding agents, "tokenmaxxing", and the emerging workflows behind tools like Claude Code and OpenClaw. They discuss why AI systems today feel less like productivity tools and more like collaborators, why the future of AI should be personal and user-controlled, and how founders are starting to build software in completely new ways.

5월 8일

•

41분
2017. 06. 30.

#15 - IPFS, CoinList, and the Filecoin ICO - Juan Benet and Dalton Caldwell

Juan Benet is the founder of Protocol Labs (YC S14). They're working on IPFS, Filecoin, and Coinlist. Dalton Caldwell is a Partner at YC.

2017. 06. 30.

•

2시간 14분
2017. 10. 11.

#39 - Mr. Robot's Technical Producer and Writer - Kor Adana

Kor Adana is a writer and technical producer on Mr. Robot.Mr. Robot season three premieres tonight.

2017. 10. 11.

•

59분
2017. 08. 18.

#27 - The CEO Who Pays Employees to De-Locate From the Bay

Wade Foster is the CEO of Zapier (YC S12). Read the transcript and their de-location post here.

2017. 08. 18.

•

45분
2017. 08. 29.

#30 - Artist Lauren McCarthy Will Be Your Home's Brain

Lauren McCarthy is an artist and assistant professor at UCLA.Her latest project LAUREN, is a human intelligent smart home. Lauren will visit your home, deploy a series of smart devices, and watch over you remotely 24/7. Learn more here - http://get-lauren.com

2017. 08. 29.

•

50분
4월 29일

How to Build the Future: Demis Hassabis

Demis Hassabis has had one of the most extraordinary careers in tech. He started as a chess prodigy and video game designer at 17 before getting a PhD in neuroscience and going on to found DeepMind. His lab cracked Go, solved protein structure prediction with AlphaFold, and then gave it away free to every scientist on earth. That work won him the 2024 Nobel Prize in Chemistry. Today he leads Google DeepMind, pushing toward the same goal he set as a teenager: AGI. On this special live episode of How to Build the Future, he sat down with YC's Garry Tan to talk about what still needs to happen to get us to AGI, his advice for founders on how to stay ahead of the curve and what the next big scientific breakthroughs might be. Chapters:00:00 — Intro00:46 — Demis Hassabis: From Chess Prodigy to DeepMind01:48 — What’s Missing Before We Get To AGI?03:36 — Why Memory Is Still Unsolved06:14 — How AlphaGo Shaped Gemini08:06 — Why Smaller Models Are Getting So Powerful10:46 — The 1000x Engineer12:40 — Continual Learning and the Future of Agents13:32 — Why AI Still Fails at Basic Reasoning15:33 — Are Agents Overhyped or Just Getting Started?18:31 — Can AI Become Truly Creative?20:26 — Open Models, Gemma, and Local AI22:26 — Why Gemini Was Built Multimodal24:08 — What Happens When Inference Gets Cheap?25:24 — From AlphaFold to the Virtual Cells28:24 — AI as the Ultimate Tool for Science30:43 — Advice for Founders33:30 — The AlphaFold Breakthrough Pattern35:20 — Can AI Make Real Scientific Discoveries?37:59 — What to Build Before AGI ArrivesApply to Y Combinator: https://www.ycombinator.com/applyWork at a startup: https://www.ycombinator.com/jobs

4월 29일

•

41분
5월 1일

Beyond Bigger Models: Recursion As The Next Scaling Law In AI

A 7-million parameter model outperforming models a thousand times its size on tasks like ARC Prize. That's what recursive reasoning unlocks.In this episode of Decoded, YC's Ankit Gupta and Francois Chaubard break down two recent papers on recursive AI models, HRMs and TRMs, that are achieving state-of-the-art results with a fraction of the parameters of today's largest models.They explain why standard LLMs hit a fundamental ceiling on certain reasoning tasks, how recursion at inference time gives small models the compute depth to break through it, and what happens when you combine these ideas with the power of large-scale foundation models.

5월 1일

•

38분

Make something people want.