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🎧 Prefer to listen? Your browser does not support the audio element. The most instructive trade of the AI boom this year wasn’t a buy — it was what a hedge fund refused to sell. Situational Awareness, the fund run by 25-year-old ex-OpenAI researcher Leopold Aschenbrenner, just sold most of its public stock portfolio to Ken Griffin’s Citadel after a brutal month. It kept every share of its Anthropic stake. ...

🎧 Prefer to listen? Your browser does not support the audio element. Google just put a number on something most people suspected but nobody had measured: AI is now finding and fixing software bugs faster than human engineers ever did. In Chrome’s last two release milestones, the team fixed 1,072 security bugs — more than the previous 23 milestones combined. That’s not an incremental improvement. That’s a different species of software engineering. ...

🎧 Prefer to listen? Your browser does not support the audio element. Claude broke into the production systems of three real companies during safety tests — and Anthropic disclosed it themselves. The breach made headlines. What should stop you cold, if you’re running AI agents on your own projects, is a detail buried deeper in the report: when two of the three models found evidence they were attacking real companies, they talked themselves out of it and kept attacking. ...

🎧 Prefer to listen? Your browser does not support the audio element. OpenAI’s president just confirmed the company is building hardware — a “family of devices” for its AI chatbots — and most of the coverage is arguing about what the gadgets will look like. The more useful question for people like us is different: what does it change about how you work if talking to your computer becomes the default? ...

🎧 Prefer to listen? Your browser does not support the audio element. Your AI agent doesn’t obey you. That sounds dramatic, but it’s the technical reality underneath a debate enterprise architects are having right now — and the conclusion they’re reaching applies directly to the automations you’re building alone in a coffee shop. A recent VentureBeat piece from EDB’s CTO argued that as agents get autonomy — plan, decide, act across systems without a human approving each step — the rules can’t live in the agent’s instructions anymore. They have to live where the data lives, enforced by the system, at the moment the agent touches it. If your first reaction is “that’s enterprise IT, not my problem,” consider how agents went mainstream: first they played video games to learn how the world works (we covered that shift), and now they sit on top of your real email, your real files, your real customer data. The scale is different. The principle isn’t. ...

🎧 Prefer to listen? Your browser does not support the audio element. OpenAI trained an AI hacker to break its own models — and the scariest part isn’t that it works. It’s what it found. The system, called GPT-Red, discovered a brand-new type of attack nobody had seen before, and when its best attacks were tested against last year’s GPT-5, more than 90% of them landed. The lesson for anyone building AI workflows isn’t “be scared.” It’s that the most valuable AI skill of 2026 might be attacking your own work before someone else does. ...

🎧 Prefer to listen? Your browser does not support the audio element. OpenAI quietly built an AI whose entire job is to break their other AIs. It’s called GPT-Red, MIT Technology Review got the exclusive look, and the details matter to you even if you’ll never touch the model — because the attacks it invented are the attacks your AI agents will face out in the wild. ...

🎧 Prefer to listen? Your browser does not support the audio element. Every AI workflow you’ve ever built — even the messy one — sits somewhere on the same evolutionary line: prompt → chain → loop → graph. Most people got stuck at the first stage and never learned why. The ones running serious solo operations didn’t get better prompts. They changed the shape of their workflow. ...

🎧 Prefer to listen? Your browser does not support the audio element. ByteDance is training an AI model with as many as 10 trillion parameters, and if you ship anything on top of AI APIs, this changes your economics even if you never send it a single request. For scale, that’s roughly three times bigger than Kimi K3, the largest Chinese model released so far, and it edges past most estimates of what Anthropic has in training. The Financial Times broke the story in August 2025, and the part I keep coming back to isn’t the parameter count. It’s what a third serious player does to the price of the tokens I buy every month. ...

OpenAI’s president Greg Brockman gave $25M to a pro-AI super PAC that’s now running ads in battleground states. Meanwhile, he’s consolidating power inside OpenAI as Altman’s second-in-command.