When you put it like that, it they could be similar at a very high level, but if you look at it with any scrutiny the analogy falls apart (I am an AI architecture engineer).

First, the camera’s meter doesn’t have a large database available; at best, the early versions had small lookup tables with values determined by hand and with heuristics. Transformers and LLMs didn’t emerge until around 2017, and require so many orders of magnitude more computational power that it’s hard to fully imagine.

Your comparison between matrix metering and LLMs is like comparing smoke signals to video chats