Adam Nash

Be A Great Product Leader – Amplify 2019 adamnash.blog/2020/02/10/be-…

... worth noting that the OpenAI announcement seems grounded in the consumer product. If your priority is figuring out sticky features that make it unlikely for a consumer to churn, PFM is a great idea. Agree that all the model companies will do verticals, similar to OS platforms doing apps.

@staysaasy OpenAI is also building the app layer though. They will directly compete, like they are competing for the AI PFMs with this announcement. I don’t really see much of a difference between Anthropic and OpenAI in this regard. x.com/chatgptapp/sta…

If Anthropic successfully nukes Harvey/Legora with Claude for legal, the only logical conclusion for vertical AI companies will be to never build on Anthropic, and for OAI to be their model company of choice with non-compete agreements. All OAI would have to do is sign contracts agreeing to not compete and they’d secure billions in revenue from B2B AI companies that don’t want to get bombed by their model provider.

A preview for Pro users: a new personal finance experience in ChatGPT. Pro users in the U.S. can securely connect financial accounts, see where their money is going, and ask questions based on the information they choose to connect. Your full financial picture, now in ChatGPT.

"I don't think we appreciate how big of a change [low fertility] is. I'm going to make a crazy forecast. Let's suppose Thailand keeps its current fertility rate of 0.8 ... for 200 years. Thailand right now has 63 million people. At the end of 200 years, it will be around two million people." "I'm sorry. Two million?" "Two million. How do you wind down a society of 63 million people into two million?" youtu.be/5F7_qa-XLBg?si…

... full post is here: noahpinion.blog/p/yes-european…

Some useful framing in today's piece on the US & Europe by @Noahpinion - net migration stats.

In April 2016, I threatened to climb over @andrewdfeldman's fence to give him his first term sheet for @cerebras. It was April Fool’s day, but I wasn’t fooling around. The story started in October 2007, when Andrew and his co-founder Gary Lauterbach had just started SeaMicro. Even then, Andrew was a force of nature. He was extremely intense and miswired in all the right ways. You could feel the sparks flying off him. We didn't invest in SeaMicro, but we stayed in touch. Andrew and the team built SeaMicro then sold it to AMD in 2012. When AMD acquired SeaMicro, I had a hunch Andrew wouldn't last long inside a big company. He has, as I've said many times, immense ambition and a heart full of disobedience. By early 2014, he was looking for an escape hatch. Over the next year and a half, Andrew and I met 6 or 7 times. Sometimes in our office. Sometimes at a coffee shop in Portola Valley. Sometimes at our local tennis and swim club. We kept coming back to one thing: deep learning workloads were growing exponentially, and traditional compute architectures couldn't keep up. GPUs had become the default for neural network training, mainly because researchers had accidentally discovered they were less terrible than CPUs. Andrew, Gary and Sean saw the GPU for what it was: a battlefield promotion of a chip optimized for graphics. Better than a CPU, but not what anyone would design starting from a blank sheet of paper. Their key insight was that memory bandwidth, not raw compute, was the real constraint on what neural networks could achieve. So Andrew, Sean Lie, Gary Lauterbach, Jean-Philippe Fricker and Michael James set out to do something nobody had pulled off in the 75-year history of semiconductors: Build a wafer-scale chip the size of a dinner plate. In April 2016, I asked Andrew if we could be his first term sheet. @ericvishria at Benchmark and I co-led the round along with Pierre Lamond from Eclipse. Then the hard work began. In the 75-year history of computing, no one had made wafer scale work. Which meant no one had ever had to solve the problems that came from trying. How do you power a chip that large? How do you cool one? How do you maintain electrical continuity across tens of thousands of connection points on a single piece of silicon? To get there, Cerebras had to invent in nearly every modern computing discipline at once: semiconductors, systems, data fabric, software, algorithms. Each was a startup in its own right. Their first wafer self-destructed on initial power-up and Andrew and the team were back in the lab the next morning, identifying what didn’t work and coming up with approaches to solving it. Yesterday, Cerebras went public. 19 years after our first meeting, 10 years after that April Fool's term sheet, they’ve built a generational AI company. From a coffee shop in Portola Valley to ringing the bell at the NASDAQ. What a journey. Proud to have been Andrew's first partner in Cerebras. Even prouder to call him my friend.

I was not expecting this to work 😭😭😭

It’s very clear @boomsupersonic will sell as many turbines as we can make as fast as we can make them. Team is speed running the last bit of development and manufacturing scale up. This is inspiring and challenging work. Get in touch if you want to help.

The 1,000th Rutherford engine has rolled off the production line🎉The world's first 3D printed, battery-powered rocket engine is now one of the most manufactured rocket engines on Earth.   Congratulations to the production and development teams behind Rutherford. You make the most complex engineering and manufacturing feats look easy.

... the difference between theory and practice is that, in theory, there is no difference. In practice, there is. 😂 Amazing to watch @Figma execute. Incredible. 💯

Must be really puzzling to bears to see @Figma $FIG year-over-year revenue growing at an accelerating rate. Q3 2025: 38% YoY Q4 2025: 40% YoY Q1 2026: 46% YoY Starting to think that maybe the bear thesis around AI is wrong? 😉 businesswire.com/news/home/2026…

@SawyerMerritt … political language. They are likely comparing the “predicted costs” and “predicted speeds” from 2028 to what’s available right now. So technically true, but wildly misleading. Just positioning around a very risky (and likely bad) decision. Reminds me of Toyota & CarPlay 🙄

Delta Airlines has responded to Elon Musk's post below with a statement: “The assertion in question is not accurate. Incorporating Delta Sync with Starlink would have been permitted under SpaceX's in-flight Wi-Fi agreement." Delta on why it chose Amazon's LEO: "This agreement gives us the fastest and most cost-effective technology available to better connect the world today, and it deepens our work with a global leader that shares our ambition to build what’s next." The airline is targeting 2028 to start offering Leo in-flight Wi-Fi on about half of its fleet. The rest of the jets will continue to use Viasat and Hughesnet.

SpaceX has introduced a new 300GB @Starlink Roam tier for $80/month. "Up to 300+ Mbps. Reliable connectivity for regular travelers with multiple trips a month. Get unlimited low-speed data after using your Roam data. Note: 90th percentile download speeds."

@andrewdfeldman @cerebras @Nasdaq Congrats, Andrew! Definitely calls for a BBQ! 🎉

Today @cerebras went public. We are traded on the @Nasdaq. Our ticker CBRS. I could not be more proud:

Quick update: not dead. $FIG Q1 results: → 46% YoY revenue growth, accelerating for the 2nd straight quarter → Net Dollar Retention Rate increased to 139%, our highest rate in over two years → Raising 2026 revenue guidance for the year Design matters more than ever.

Today, @Cerebras rang the bell at NASDAQ. We wrote their first term sheet in 2016, when our partner @vassallo led Foundation's investment in @andrewdfeldman and his co-founders Sean Lie, Gary Lauterbach, Michael James, and JP Fricker. To get to wafer scale, Cerebras had to invent new approaches to nearly every facet of modern computing at once: semiconductors, systems, data fabric, software, and algorithms. Each was a startup in its own right. Realizing this mission took ten years of relentless engineering. Congratulations to Andrew and the entire Cerebras team! More from Steve on a decade with Cerebras: foundationcapital.com/ideas/reinvent…

While I have no shares in Cerebras $CBRS, I have known @andrewdfeldman my whole life and could not be happier to see this amazing success for his team & the company. Great day for investors and for Silicon Valley. What an IPO! 🤖🎉

This IPO illustrates the power of an individual partner over the brand name firm in VC. Pierre Lamond was a partner of both Sequoia and Khosla. But instead of those firms backing Cerebras, it was Eclipse (the firm he joined at the age of 84) that backed this little known chip company, multiple times, in the early years. What a way to wrap up a career (he was born in 1930, same year as Buffett).

What happens when you post a real Monet and say it’s AI? The coolest art social experiment I’ve seen in a while. Thank you @SHL0MS

Ringing the @Nasdaq bell is just the beginning.