Google just signaled even larger AI infrastructure spending this year. From a technology perspective, that's a huge vote of confidence in continued AI development. But investors barely celebrated it—instead they focused on whether all that spending will actually pay off. Do you think we're reaching the point where the debate is no longer "Will companies invest in AI?" but "Which companies will actually make money from AI?"
AI's eating power and heat is the part nobody's actually simulating, everyone forgets about that so. I have built a data center cooling layout optimizer that runs Open FOAM solves on a datacenter layout and optimizes CRAC placement against it. Still limited to small sized facilities on real hardware, not thousands of racks overnight. Would need a large computer for that. Any other way of optimizing it? What do you think? Repo: https://github.com/PantherHale/DataCenter_Cooling_Project_OFD ...
I'm curious how everyone here keeps up with AI these days without spending hours doomscrolling. There are new models, tools, coding assistants, and AI workflows launching almost every day, so I'm interested in hearing what your "AI information diet" looks like. What do you follow regularly? It could be: WhatsApp or Telegram groups Discord communities Newsletters X accounts YouTube channels Blogs, podcasts, or anything else I'm especially interested in places that ...