Tensions Within OpenAI's Leadership

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The EU has just hit pause on its own AI act, and the entire compliance map for 2027 is now up in the air. Before that, Google's Athletica just cracked math problems that no human had solved. OpenAI's CFO is reportedly at war with Sam Altman over six hundred and sixty billion dollars in compute spending, and big tech earnings week kicks off tomorrow. So there's a whole bunch of questions that are gonna be hanging around over AI and ROI that we're gonna be covering. Let's get into it. So first I wanted to talk about Google DeepMind. They've just dropped Athletica this week. This is an autonomous math agent, and it's actually just built on top of Gemini 3 Deep's Deep Think, and the results that it has been producing are really wild. So on the first proof challenge, which is basically a benchmark of unsolved or really complex kind of novel math problems, Athletica actually produced solutions that, according to human expert evaluators, were graded as, quote, "publishable after minor revisions," meaning, like, it, it basically got it there. There might have been a couple tweaks, but, I mean, it solved these really complex math, math things to a, to a high level, which was basically ready to get published. And it actually did this on six out of ten questions that it was given. It also scored above ninety-one point nine percent on the IMO proof benchmark. Um, Anjay Midha at a16z called it the moment, quote, "AI math went from playing the game to writing the rules." I think that's kind of a fair framing because up until this point with all of the different AI models, proving these kind of