Replying to @⁨themachinestops@lemmy.dbzer0.com⁩

not to be an AI bootlicker, but i don’t get why people treat AI-generated code like it’s the Plague 2. it’s not; all code is constrained by the programming language, and so it either implements the feature correctly… or it doesn’t. yes, human review is undeniably important, but other than that, AI-generated code and human code is still all logic at the end of the day

Replying to @⁨khanh@lemmy.zip⁩

Over the past 5 years specifically, nearly every single piece of software I use from OS, to apps, to even legacy programs I trusted for decades have started to produce more bugs, are less stable, and less reliable.

At the same time, AI has been forced on people and AI using devs are proliferating while we still lack an understanding of AIs cognitive affects on us.

What exactly am I supposed to think? That all the programmers pushing AI on me like Crypto Bros while their programs work worse are smart, well intentioned people?

You can say whatever you want, I use the software, shits gotten absolutely terrible lately, and it’s not just the purposefully enshitified software either.

Replying to @⁨dev_null@lemmy.ml⁩

It’s been 5 years since mass public forced adoption and things have just gotten progressively worse.

The tool was not put out responsibly, and most importantly, the CEOs and companies leading the charge currently cannot be trusted.

AI has been a massive bust, has helped accelerate climate change, destroyed lives, raises power bills, and for what?

I’m not saying don’t R&D it and don’t use it, but forcing it down people’s throats and technofascist CEOs being in charge of this dumpster fire is killing us.

Replying to @⁨Toga77@lemmy.world⁩

Nobody forced me to adopt AI, and up until about a year ago I mostly ignored it. It “wasn’t ready for prime time” back then. Starting about a year ago, I saw the improvement curve and the potential and decided it was time for me to learn how to make the best of it. Starting about 8 months ago it really turned a corner in terms of productivity and usefulness, and that same increase in productivity is driving improvement in the AI tools themselves. I expect it to plateau, any day now, but so far it doesn’t seem like it has started - each new “frontier model” seems noticeably more capable / useful than the one before. Sometimes that’s more a matter of specialization than general overall capabilities, but that’s O.K. too - we don’t need one model to serve all purposes, that’s the whole M.o.E. premise…