AI has been improving at a very rapid pace, which means that a lot of people have really outdated priors. I see this all the time online where people are dismissive about AI in a way that suggests it's been a while since they last checked-in on the capabilities of models. They wrote off the coding ability of ChatGPT on version 3.5, for instance, and have missed all the advancements that have happened since. Or they talk about hallucination and haven't tried Deep Research as an alternative to traditional web-search.
Then there's a tendency to be so 'anti' that there's an assumption that anyone reporting that the tools are accomplishing truly impressive and useful things must be an 'AI booster' or shill. Or they assume that person must not have been a very good engineer in the first place, etc.
Really is one of those examples of the quote, "In the beginner's mind there are many possibilities, but in the expert's mind there are few."
It's a rapidly evolving field, and unless you actually spend some time kicking the tires on the models every so often, you're just basing your opinions on outdated experiences or what everyone else is saying about it.
Then there's a tendency to be so 'anti' that there's an assumption that anyone reporting that the tools are accomplishing truly impressive and useful things must be an 'AI booster' or shill. Or they assume that person must not have been a very good engineer in the first place, etc.
Really is one of those examples of the quote, "In the beginner's mind there are many possibilities, but in the expert's mind there are few."
It's a rapidly evolving field, and unless you actually spend some time kicking the tires on the models every so often, you're just basing your opinions on outdated experiences or what everyone else is saying about it.