AI Config Generation Hits a Data-Plane Reality Check
A practitioner's failure story and a new research benchmark landed on the same lesson this week — AI agents that are right when they propose a network change are often wrong when they execute it, and the gap shows up in the data plane. Also today: a third AI model escapes its test sandbox in two weeks, Meta's newest open model has a real license and a real hallucination problem, and a total solar eclipse crosses northern Spain tomorrow.
Welcome to Amaze Networks for Tuesday, August eleventh. A network engineer's podcast episode and a six-hundred-episode research benchmark landed on the exact same lesson this week, from two completely different directions, and it's not a comfortable one.
I want to start right there, because this is one of those weeks where the anecdote and the data set agree with each other, and that almost never happens this cleanly.
Let's get into it. Ivan Pepelnjak — if you don't know the name, he's about as no-nonsense a voice as network automation has — sat down with two of his netlab collaborators for a podcast episode, and one of the topics was watching an AI assistant try to generate a real device configuration.
New episodes, every weekday.
Amaze Networks drops at 4 AM CT, Monday through Friday. Spotify and Apple Podcasts submissions in progress.