Radar

Gene Kim was grilling dinner for his family on the evening of June 12 when his phone told him that Fable 5 was no longer available. He’d heard the day before from Steve Yegge that the model was going away in 10 days, and he’d spent that first day starting on a plan to get ready. He thought he knew what to do. He was well-versed in DevOps, the art of building resilience agains...

You played entirely by the book. You procured the most capable enterprise models, mandated adoption across your teams, and put the right metrics in place. The promise was a predictable boost in efficiency. And at first, it delivered. The demos were flawless. The prototypes worked. The agents reasoned with a clarity that felt almost magical.

AI buyers have more choices than they did a year ago, but they also carry more responsibility for cost, reliability, security, and regulatory risk. This week, data and AI evangelist Christina Stathopoulos focused in on four forces we’ve been tracking that are shaping the AI market: product strategy (and OpenAI’s hardware plans), expanding government oversight, the work of mov...

“Help! There are too many [LLM bug reports, blog posts about LLM bug reports, books, treatises, codices, scrolls, papyri, cuneiform tablets]! How do I choose which to read?” 

—Many people, presumably

Stop there! If you are reading this, ask yourself how you got here. Did Substack’s algorithm recommend this article for you? Did a juic...

The first expensive agent run doesn’t look like a governance problem. It looks like a billing problem.

A team opens its first agent invoice after the meter turns on, sorts the runs by cost, and finds one that cost 40 times the median. The provider meter shows tokens and a total. The application logs say the request succeeded. The trace viewer shows a tidy request an...