
David Roldan 🇵🇷
3.9K posts

David Roldan 🇵🇷
@Roldiesel
WW GTM @prosperopshq Ex @Aws @Google @Rackspace Co-founder @wunderchuck. Passion in paying it forward and always curious.


WSJ: DeepSeek tried using less-advanced chips from Huawei and other domestic Chinese vendors, but the results were unacceptable, so it turned to Nvidia chips for some training workloads. DeepSeek has since made progress and is preparing to introduce the model in the coming weeks.




We believe that to compete at the frontier, you have to own the full stack: from dirt to intelligence. Today we’re announcing two major unlocks for our mission to AGI: 1. We're partnering with @CoreWeave and have 40,000+ NVIDIA GB300s secured. First capacity comes online starting Dec ’25. 2. Project Horizon: Poolside is developing a vertically integrated 2GW AI campus in West Texas to secure our medium term scale. On this site @CoreWeave will be our anchor tenant for the first 250MW phase. Learn more about it on our blog: poolside.ai/blog/announcin… Or on WSJ: wsj.com/tech/ai/a-gian…

🪩The one and only @stateofai 2025 is live! 🪩 It’s been a monumental 12 months for AI. Our 8th annual report is the most comprehensive it's ever been, covering what you *need* to know about research, industry, politics, safety and our new usage data. My highlight reel:



$HOME is in the terminal. Now your new coding bestie is available in whatever terminal emulator you use. Crush is a high performance, agentic coding tool built with Charm libraries and the quirky, playful aesthetic that you know and love. This is just the beginning, too.


isn’t it weird that we spend >99% of RL compute on the agent and <1% on the environment (eg python runtime)? who is working on scaling environment compute? and is there an optimal agent-environment compute frontier for intelligence?







