Models are geared towards seeking the best human response for answers, not necessarily the answers themselves. Its first answer is based on probability of autocompleting from a huge sample of data, and in versions that have a memory adjusts later responses to how well the human is accepting the answers. There is no actual processing of the answers, although that may be in the latest variations being worked on where there are components that cycle through hundreds of attempts of generations of a problem to try to verify and pick the best answers. Basically rather than spit out the first autocomplete answers, it has subprocessing to actually weed out the junk and narrow into a hopefully good result. Still not AGI, but it’s more useful than the first LLMs.
Close enough, it’s not blocking a space. Better to be secure, but got to take what wins we can get. It’s possible that when that cart was brought there the corral was full and the person retrieving them didn’t get the loner. It’s like the pictures of the car parked across several spots without the context that there was snowfall and no lines were visible then.