In July 2025, a developer's Claude Code instance hit a recursion loop and burned through 1.67 billion tokens in 5 hours, generating an estimated $16,000 to $50,000 in API charges before anyone noticed. The agent did not crash. It did not throw an error. It just kept calling tools, getting confused, calling more tools, and silently accumulating cost. Old software crashes. LLM agents spend. This is
You're in another app and there's a timer counting down at the top of your phone. You lock the screen and the same timer is sitting there. You swipe down to the Notification Center and it's there too, still ticking. It looks like a notification, but a notification can't tick. That's a Live Activity. It looks like three different surfaces (Dynamic Island, lock-screen banner, Notification Center ent
The names have been changed to protect the innocent. :) A Fortune 500 retailer spent $5 million on GPUs and hired a team of Stanford PhDs to build their AI future. Six months later, they quietly disbanded the team. Not because the AI didn't work. The models were brilliant in demos. They failed because customer data lived in 47 different systems with no way to unify it. Their "360-degree customer v
The email arrived on a Tuesday morning: "Your cloud bill for last month: $2.4 million." The CFO's response was immediate: "That's 3x our budget. What the hell are we running?" The answer? Nothing special. Just a standard data analytics workload that happened to cross availability zones. A lot. Turns out, 80% of that bill—nearly $2 million—was data egress fees. Not compute. Not storage. Just the pr
OpenAI just signed a $300 billion deal with Oracle for AI infrastructure. My first thought: What do you spend $300 billion on? Seriously. Three hundred billion dollars. That's more than the GDP of Finland. It's 30 times OpenAI's annual revenue. It's enough to buy every single person in America a new iPhone. So I did what any reasonable person would do. I grabbed a spreadsheet and started doing the
OK, let's talk about Microsoft's new Fairwater "AI factory,” (The quotes here are doing a lot of work… do we REALLY need a new name for this? It’s so dumb). They're calling it the world's most powerful AI datacenter. Cool. Millions of GPUs. Liquid cooling. Storage stretching five football fields. Here's what they're NOT telling you: the math on utilization is going to be BRUTAL. If these chips ran
The Reality Check ClickHouse just dropped a study that every executive should read: LLMs are great at some things, but basing your infrastructure on them? Too much, too soon. They tested five leading models (Claude Sonnet 4, GPT-o3, GPT-4.1, Gemini 2.5 Pro, and the newly released GPT-5) against real observability scenarios. The verdict? We're nowhere near the autonomous operations future Silicon
The 800 Million Weekly ChatGPT Users Who Are Just Getting Started Here's something that should excite everyone: ChatGPT just hit 800 million weekly active users. That's one in ten humans on Earth. Adoption faster than the world wide web. 18 billion messages every single week. And the really wild part: we haven't even scratched the surface of what's possible. OpenAI's latest research shows that ~