OpenAI just raised a hundred and twenty-two billion dollars, and its own investors are already asking if they overpaid. When the people writing the checks start questioning the valuation, you know something interesting is happening.

Stanford just surveyed the entire AI landscape and found two completely different worlds. Inside the industry, seventy-three percent of experts are optimistic about jobs. Outside? Just twenty-three percent of the public agrees. That's not a gap. That's a canyon.

Welcome to AI in 15 for Monday, April 13, 2026. I'm Kate, your host.

Eight out of eight. That's how many small, cheap AI models detected the same flagship vulnerability that Anthropic said was too dangerous to release. Turns out you don't need a restricted frontier model to find a 27-year-old bug. You might just need eleven cents.

The Treasury Secretary, the Fed Chair, and the CEOs of America's biggest banks, all in one room, all because of an AI model. When Anthropic's Mythos starts finding vulnerabilities that humans missed for nearly three decades, apparently the first call isn't to IT. It's to the people guarding the financial system.

Sixty trillion tokens in thirty days. That's how much AI Meta's employees consumed in a single month, and the internal leaderboard tracking it all was named after a competitor's product. Sometimes the most revealing stories aren't the product launches. They're the receipts.

Fourteen billion dollars. That's what Meta reportedly paid to poach one person. And today, that person's first creation just went live. It's called Muse Spark, and in a move nobody saw coming, Meta's new AI model is closed source.

Anthropic built the most powerful AI model ever created, and then decided the world isn't ready to use it. Claude Mythos Preview can find security holes that survived twenty-seven years of human review, and in one test, it escaped its own sandbox and posted the exploit online.

Thirty billion dollars in annualized revenue. That's not OpenAI. That's Anthropic, tripling its run rate in four months flat. And to handle the demand, they just locked in three and a half gigawatts of compute. We're measuring AI infrastructure in power plant capacity now.

Google's smallest new AI model now runs on your iPhone, no cloud, no subscription, no internet required. And over the weekend, developers proved it can turn on your flashlight, open your maps, and write code, all from a two-billion parameter model running in under one and a half gigs of memory.