There are several examples of exactly what I said

No one is denying the existence of vision based LLM models. The issue is performance. It takes in the order of double (or even triple) digit seconds to process an image through an LLM. Even if it took a single second to process an image using decent server-grade hardware (which starts at about $10k per card), that's way too much and still not fast enough.

On just 10 cameras at a facility it would require north of $100k on just GPUs alone.

Whereas a specialized computer vision model could process several dozen camera streams, in real-time, on just one of those $10k cards.

An LLM would process an image in 10 seconds (generous) whereas a computer vision model operates in the milliseconds. We're talking about a 1000x difference in required processing power.

That's why you're wrong and have zero clue what you're talking about.

You're arguing that that family uses a fully loaded semi-trailer to go 200m to the local park. It's a clueless and asinine argument.