I suspect some sort of Berkson’s paradox happens here. Being good at software things A and B are typically correlated. But because of the market, at the lower tier of companies, those will be _negatively_ correlated. Which leads people to think you can’t do both A and B.

In my experience, the best founders aren't loud. The best ones aren't shitposting, rage-baiting, nor glorifying their ego on social media. Instead they're mission-driven (not fame/ego-driven), and are quietly and maniacally focused on product, customers, and product-market fit.

Underrated life advice: Reliability is an opportunity magnet. Opportunities accrue to the person who shows up. The one who keeps their word. The one who follows through. The one who makes things easier. Those who show up for the small will eventually earn trust for the big.

Good PMs gather feedback. Great PMs design UIs to collect it. In an AI-driven world, relying on feedback forms or even thumbs up/down isn't enough. Feedback often comes dressed in great UI design. You have to bake it in from the outset.

Here Elon Musk proves once again that his methods work. Assemble a small team of world-class engineers who work at a hardcore pace. An excerpt from the Elon Book (coming soon!)

The era of Physics-based ASICs has arrived. On the surface, computing infrastructure seems unready to meet the demands of AI. But underneath, a Cambrian explosion of new computer architectures is rising to meet this challenge, with the goal of using physical processes as a

Check out this bold new work from Normal Computing 🧠🌡️ — forecasting a golden age of computing driven by physics-based hardware and architectures!

Varun Mohan and the team at Windsurf built something great. What I heard is every founding engineer (over 40 of them) cleared 7 figures. The remaining org of 200 was only 15 engineers who had worked there less than a year, the rest were sales and ops, and even then they left

Very interesting details shared by Garry: - Windsurf had ~250 employees - ~55 eng, ~185 sales - Hired ~150 ppl (mostly sales) the last 12 months (likely all enterprise sales) - ~40 core engineers went to Google Reads like Google only wanted (most of the) eng team, and no sales

We had IMO gold at home the whole time!

surely this new AI-for-chip-design startup founded by children who have never taped out a chip will be successful!

Builders compete but they never destroy. It’s the unspoken rule.

Another session with Erik Meijer Erik Meijer about LLMs and why we should listen but verify, proof carrying code from LLMs, #include “Asimov.h”, and not squandering the joys of freedom. No vibe coding today because I don’t currently have a laptop.

This false nomenclature of “researcher” and “engineer”, which is a thinly-masked way of describing a two-tier engineering system, is being deleted from @xAI today. There are only engineers. Researcher is a relic term from academia.

I am winning; Zuck is now plagiarizing my tweets to pimp his Superintelligence team [0]

Don’t want to miss this!

Possibly the biggest mistakes folks make joining a smaller startup for the first time is this: You Gotta Know -- It's Not About You Not trained? No processes? Not clear how it works? Things you disagree with? Figure It Out. It's not about you. It's about the mission.

🐝🐝🐝

i'm increasingly convinced that "transformative ai" is going to look like an abundance of specialized models for everything from drug design to weather sims to robotics to supply chains, not one agent to rule them all. we're going to need a lot more ai researchers

The biggest lever towards ASI is right in front of you (RL environments) but you feel too smart to work on data