2/ After I first reached out to Chris in 2018, we met and spent our time deep in the weeds of infrastructure. I left that conversation knowing I had to find a way to work with him.

The most influential enterprise AI founders and firms rarely share a room. On September 10 in San Francisco, they will. Connected Stack 2026 — the room for the builders, buyers, and backers defining the future of enterprise AI. 20+ VC firms, usually competitors, each nominate one founder to take the stage. Since speaking last year, founders have raised $3.5B+ in capital and exited $4.5B+. If that's the room you want to be in, RSVP and join us this fall: connectedstack.ai

GTM Atlas Volume II is live. We're back with more frameworks, systems, and insights from the people shaping modern GTM. Read six new entries from top operators at @AnthropicAI, @NotionHQ, @stripe, @linear, @meetgranola, @WisprFlow. Plus a curated stack of perks from @framer, @fin_ai, and @CustomerIO. Start exploring: attio.ai/atlas

.@winstonweinberg says the lawyers @harvey hired slowly adapted to startup culture: "The first week they'd wear a full suit and tie." "The next Monday the tie would come off." "Three days after that the suit came off. It would eventually be a hoodie and sweatpants."

AI is now doing our AI research. At Recursive we set out to build recursive self-improving superintelligence (RSI) to automate knowledge discovery. The best way to expand humanity’s knowledge is through the scientific method. RSI leads to better ideas, explanations and inventions which lead to better RSI. Automating the scientific method requires closing the loop between ideation, implementation and validation, and being able to run it over extended periods of time. Today, we are excited to share the first outputs of Recursive’s automated open-ended discovery system. To be clear, this system is merely a milestone towards RSI, a v0.1 of what I sometimes call the “Eureka Machine”. It is one program that you can point at any hard problem and get useful inventions out. Though it’s still very early, we've run it on three AI tasks and achieved state-of-the-art results on all three. These results demonstrate that even this early version of the system can solve a variety of autoresearch problems in AI and improve over prior state of the art. Concretely, it did this on the community benchmarks NanoGPT speedrun, NanoChat, and NVIDIA's Sol-ExecBench. AI is code and AI can code. The code and ideas that lead to these results were not invented by our team but by the AI system itself. To do RSI safely, we need to investigate its inventions. That's best done transparently with the community. @Recursive_SI we are open-sourcing the system’s discoveries, demonstrating that it finds creative and benign solutions instead of focusing on obvious optimizations or dangerous ideas. Link below.