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Joined February 2010
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The best way to learn AI is to work at an AI startup. On August 15, we're inviting ambitious students to YC HQ to meet founders and engineers from 50 YC companies. Roam the expo hall to meet founders (and collect swag), startups pitch you, interview onsite, and land your Summer 2027 internship – co-ops and more.
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Flying Overture will be nicer than flying domestic first class—at 2x speed. We have ~60 seats in a bigger space than Concorde had 100. Plus taller ceilings, a boarding door 10" taller (1" taller than a 737). There will be a version with flatbeds for extra long flights too.
Please tell me your cabin will be more roomy than the Concorde. Yes, it was fast, but not comfortable.
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Fable is so insanely good. Deserves the hype.
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The founder in their 40s with taste and discernment is the new gentleman unicorn founder Because there can be 100x to 1000x of them working at their beck and call via agents and software factories all the time
The age of the 40-year-old founder is back. Bryant Chou spent 12 years as CTO of Webflow, which now powers something like 1.5% of the entire internet. He's back in the current YC batch with Ploy, an AI marketing platform, and he describes himself as "a bit of a boomer, double the age of the YC founders." But over 13% of his batch is already using his product, within months of launch. There is a side of the argument which destroyed one of the main edges young founders have, which was being faster and cheaper at building.... speed is everyones game. If what's left is knowing what to build this is more likely to come from spending 15 years watching an industry up close, collecting the thousand small frustrations that tell you where the real problem is. Bryant can build an anti-slop website tool because he spent over a decade learning exactly why websites are slop. So I'm updating. I don't think it's young vs. old. I think AI rewards whoever has the most domain knowledge to point it at, and only sometimes is this younger founders who are thinking outside of the box...
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Introducing OpenScience. A better, open-source Claude Science. • Any model: GLM, Kimi, DeepSeek, Claude, GPT, your own fine-tune. Switching is one flag. • 250 research skills across ML, comp bio, cheminformatics. All readable, editable, extensible. • No throttling, no gatekeeping, no one vendor deciding what science is okay. • Native Atlas integration: many agents, one shared reproducible research graph. • Runs on your infra. Your data stays yours. Scientific AI should be open. One company shouldn't own the tools the rest of us discover with, or decide who gets to.
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The next YC Paper club will focus on Kernels / Chips / Datacenters. We need 1 more speaker. Anyone have recs for this? @ycombinator #paperclub -- Reminder: YC Paper club is a group of the top 100 researchers/founders in the peninsula to talk about frontier AI topics. Here are some of the previous sessions.. (5/20 and 6/15) youtube.com/watch?v=wE1ZgJdt… and here: youtube.com/watch?v=3rWSvrFa… Always in person in MV.
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One of the great chapters in America's history is how we converted our economy to wartime production in the 1940s and used our industrial power to win WWII. I'd learned in high school that we converted car factories into tank factories. But I never knew the full story until last month, when I read Freedom's Forge, the definitive book on this. It turns out the true story is even crazier and more impressive. In honor of July 4th, here's the story of how America won WWII, one factory at a time.
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Happy Fourth of July! 🇺🇸 🇺🇸
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One of the highlights of my trip to France was visiting YC alums. Among them is @hylight_aero, a YC S23 alum building airships to inspect infrastructure at scale: power lines, pipelines, railways, etc. They are replacing risky helicopter inspections, suppressing their high carbon emissions and delivering better data. Seeing them at work was really cool. They design, build, and operate the HyLighters themselves. And they’re already inspecting infrastructure across France. Thanks for having me, @MartinBocken, Josef Rokusek, and @ThomasLprte. Keep going!
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🤏☁️smol cloud is now live (beta) Get a virtual computer for yourself or your agent in seconds. 1. No need to configure CPU/MEM, it is dynamically allocated up to a 4cpu/8gb upper limit today. 2. You can integrate with the smol cli to run hundreds of agents in separate cloud machines, or just locally with isolation guarantees. 3. $5 credit per month, only charged for active CPU/Mem/disk usage. Quick demo if you prefer web terminal access for your virtual computer.
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Wafer made AMD GPUs competitive with NVIDIA chips for AI inference - at half the cost.
🚨 BREAKING: these engineers figured out how to serve GLM 5.2 on @AMD MI355X at 2626 tok/s/node and 213 tok/s single stream at over 2x lower cost than Blackwell that's ~80% of B200 throughput at over 2x lower cost full write-up in reply to see how
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Incredibly excited today to launch file-based agents in Mastra! Add `instructions` as a .md file, a .ts file to `tools/` and the filename becomes the tool name, subagents in `subagents/`:
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Most powerful browser agent yet
Introducing: Browser Use CLI 3.0 🌐 Turn any model into a SOTA browser agent > Direct CDP control via browser-harness > Run on cloud browsers or real Chrome > 6× smaller, fewer tokens Try it now 🔗↓
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We've been thinking about the best way to use screen data for a while now. After 500k hours of beta use, we're launching Dayflow: the open source automatic work journal. One of my favorite @rabois-isms: the best predictor of success is how well you allocate your time. But nobody actually knows where it goes. Memory lies, calendars only show the plan. Dayflow shows you the truth about today so you can be intentional about tomorrow.
Chronicle is an experimental feature giving Codex the ability to see and have recent memory over what you see, automatically giving it full context on what you're doing. Feels surprisingly magical to use.
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something interesting is happening for big models, it is easy to generate candidate solutions for code but *verifying* that they 100% work is not no fixed reward function is durable for a strong generator more exciting work to be done around verifiers that coevolve with generators
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Axol folds a towel
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From the @naval podcast: x.com/naval/status/207291444…
New podcast with @garrytan, @farbood and Daniel Francis. Live in the Future! 00:00 Guest Intros 02:35 Live in the Future 03:58 Will AI Outsmart us? 07:43 In the Anthropic Breadline 09:59 The Tech Genie Is Out 12:33 We Invested in COVID?! 14:25 Good Writing Is Novelty 18:50 Living Like It’s 2028 24:32 Truth dot ai 30:18 Does China have the Weights? 35:38 Everyone has AI Anxiety 39:32 Have Your Agent Talk to My Agent 42:01 What if Open Source takes the Lead? 44:03 The Sun is Setting on Google 48:00 Ride the AGI 50:46 Will There be Startups? 54:05 Defending Taiwan 1:00:05 The California Empire 1:01:26 If the U.S. Falls 1:03:11 Universal Basic Robot 1:06:01 Humans as AI Handlers
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.@garrytan on why the future is already here, it's just not evenly distributed. "If you're just willing to spend $100,000 a year on tokens, you can basically live like you are a normal citizen in 2028. It's just pretty clear that token cost is gonna come down. Compute is gonna go way, way up. We think 90,000x or so. There will be 90,000x the amount of inference from here to three years from now."
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Guess when i started YC went psycho on growth
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First we zip ping pong balls, then butterflies and we'll end with mosquitoes
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The path a metal block takes on its way to reindustrialize America 🇺🇸
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