Agreed. If you need to calculate rectangles ML is not the right tool. Now do the comparison for an image identifying program.
If anyone's looking for the magic dividing line, ML is a very inefficient way to do anything; but, it doesn't require us to actually solve the problem, just have a bunch of examples. For very hard but commonplace problems this is still revolutionary.
The sad thing is that no amount of mocking the current state of ML today will prevent it from taking all of our jobs tomorrow. Yes, there will be a phase where programmers, like myself, who refuse to use LLM as a tool to produce work faster will be pushed out by those that will work with LLMs. However, I console myself with the belief that this phase will last not even a full generation, and even those collaborative devs will find themselves made redundant, and we'll reach the same end without me having to eliminate the one enjoyable part of my job. I do not want to be reduced to being only a debugger for something else's code.
Thing is, at the point AI becomes self-improving, the last bastion of human-led development will fall.
I guess mocking and laughing now is about all we can do.
I see no mention of Hitler nor abusive language, are you sure that's a real AI? /s :-P
I'm hoping even a junior dev has had more than 60 hours of training.
Yea, but does the AI ask me why “x” doesn’t work as a multiplication operator 14 times while complaining about how this would be easier in Rust?
I don't know why, but "mechanical turk" keeps cropping up when I think about this sort of stuff.
Machine learning also needs tons of carbon burnt on a local power plant in order to run
