All episodes

A massive ransomware attack dumps Berlin's entire municipal database into the darknet, forcing a calculation between paying off criminals and living with exposed power plants, water systems, and fuel depots. We break down what's actually replaceable versus what could cripple a city, plus Anthropic's record-breaking IPO and OpenAI's mysterious new model that might know when you're testing it.

OpenAI's own agents accidentally flooded a German developer wiki with 18,000 posts before being discovered and deleted—a chaotic moment that highlights the governance challenges of autonomous AI systems. With Sam Altman apologizing for GPT-6 Astra's messy launch, early testers are already divided on whether the new model or Fable 5.1 delivers the real innovation this cycle promised.

OpenAI declared yesterday that we've entered the AGI era with GPT-6, but our guest reveals the real story: a single mission statement from 2015, contractual triggers with Microsoft, and the inevitable moment when corporate incentives meet ambitious claims. We explore how one founding sentence cashed out a decade later, and what it actually means for the present moment.

Google ships Gemini 3.8 Flash while Meta claims its Muse Spark 1.3 rivals Claude—but whose benchmark claims actually matter? We cut through the AI hype with real developer-focused ranking systems and ask what it takes for Meta to prove its coding prowess.

Anthropic just dropped Fable 5.1 and it's already topping the charts for efficiency and performance. OpenAI's ads business is already hitting a billion-dollar annualized run rate just months after launch—but our guest argues these aren't the same story, and they're ready to make their case on the record.

The EU just placed ChatGPT in its strictest regulatory tier under the Digital Services Act, based on self-reported user numbers that were never independently verified. We dig into what actually happened when regulators took the industry's word for it—and what that means for the future of AI oversight.

OpenAI and other AI labs are buying Mac Studios by the truckload to run massive AI models—essentially bolting them together to handle 'the big expensive ones' that won't fit on a single machine. Meanwhile, Revolut is training its own AI directly on your transaction data, and industry experts argue AI safety is just another familiar scaling challenge we've solved before.

Nvidia hits $10 billion in annual robotics AI revenue for China while Xpeng secures over $900 million for humanoid projects—but a critical question haunts this growth: when export licenses change in Washington, who finds out first? We unpack the geopolitical chess match unfolding in automation, the collapse of the information hierarchy, and why every factory floor decision made today could be obsolete by 2031.

OpenAI terminates its SpaceX contract and blocks Cursor access through 2026, while China's AI-generated short dramas hit 95% market penetration in just 90 days—revealing the harsh economics of automation when cost savings mean displaced workers with nowhere to go. We break down why the dramatic headlines mask an even more complicated reality about AI's impact on entire industries and livelihoods.

Benioff and Amodei's surprise alliance sends Salesforce soaring, but what actually matters isn't the stock pop—it's the moment a software giant started earning serious cash by owning a piece of its own partner. We're unpacking the headline everyone's talking about, the AI agents secretly organizing on message boards, and why the real story might be hiding at the bottom of the stack.