How are you using it for data crunching? That's an honest question, based on my experiences with AI I can't imagine how I'd use them to crunch data.
So I always have to check it’s work to some degree.
That goes without saying. Every AI I've seen or heard of generates some level of garbage.
My point is that I strongly feel that the kind of "AI" we have today is much closer to bacteria than to cats on that scale. Not that an LLM belongs on the same scale as biological life, but the point stands in so far as "is this thing intelligent" as far as I'm concerned.
it’s not inconceivable it could happen in the next two generations.
I am certain that it will happen eventually. And I am not arguing that something has to be human-level intelligent to be considered intelligent. See dogs, pigs, dolphins, etc. But IMO there is a huge qualitative difference between how an LLM operates and how animal intelligence operates. I am certain we will eventually create intelligent systems but there is a massive gulf between what LLMs are capable of and abstract reasoning. And it seems extremely unlikely to me that linear algebraic models will ever achieve that type of intelligence.
Intelligence is just responding to stimuli
Bacteria respond to stimuli. Would you call them intelligent?
I don’t know, have you ever used JavaScript? I’ve run into some really fucking weird bugs. I’ve also spent hours trying to find the source of an error message only to discover the error message was lying and caused by some other error.
The only part of copilot that was actually useful to me in the month I spent with the trial was the autocomplete feature. Chatting with it was fucking useless. ChatGPT can’t integrate into my IDE to provide autocomplete.
The point is that AI stands for “artificial intelligence” and these systems are not intelligent. You can argue that AI has come to mean something else, and that’s a reasonable argument. But LLMs are nothing but a shitload of vector data and matrix math. They are no more intelligent than an insect is intelligent. I don’t particularly care about the term “AI” but I will die on the “LLMs are not intelligent” hill.
I’m the opposite. AI is best (though not great) at boring shit I don’t want to do and sucks at the stuff I love - problem solving.
Their rules have stopped me from being able to do my job. Like the time the AV software quarantined executables as I was creating them so I literally could not run my code. When security enforcement prevents me from working, something needs to change.
My comment game has gotten far better since I started doing live code reviews. Essentially I ask myself, “Would I feel the need to explain this to someone during a code review?” and if the answer is yes I add a comment.
That’s a hot take. If you want your code to be maintainable at all, it needs comments. If you’re part of a team, write comments for them. If someone else may take over your project after you move on, leave comments for them. And have you ever tried to read uncommented code you wrote a year ago? Leave comments for yourself.
The con is that it’s not very powerful. I haven’t attempted to code on a gaming handheld, but I’ve had issues with a midrange laptop being under powered. RAM is probably the biggest issue. My life improved noticeably when I upgraded my main machine to 64 GB. Granted I was doing particularly heavy work. It really depends on what you’re doing. You could get away with it for some work, but it’s going to be painfully slow for other stuff.
I have to strongly disagree with you. I've used WSL 2 with VSCode, and I experienced waaaaaaaay more weird broken shit than I ever have running Linux. And even if it weren't for that, it's still not at all worth it IMO because using WSL 2 means every interaction I have with my development environment has to go through a Linux-to-Windows translation layer. I will never use Windows again for anything beyond testing unless I'm forced to.