The models are getting worse. Jon Rolls noticed it in his codebase. Jason noticed it in production. Matt noticed the pattern across the whole industry. When AI is writing the next version of AI, the quality floor starts moving in the wrong direction — and nobody in the press is asking the right questions about why.

Jon is a 30-year endpoint management veteran building Tassient, an RMM platform with AI embedded from day one — not bolted on as an afterthought. He's watched agents improvise solutions to networking problems that most engineers wouldn't think to attempt. He's also watched them silently delete code. The gap between what AI can do and what it reliably does is still real, and anyone telling you otherwise is selling something.

The conversation covers the economics of inference versus training, whether creative destruction can still hold up when humans can't retrain fast enough, and the gun-or-shooter debate — which turns out to be more divisive than it sounds.

The takeaway: the human in the loop isn't a failsafe. It's still the only reason any of this works.

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