>These LLMs are being trained on data sets with bad results and bad code with no real way to tell the difference. No shit. I lost it when Google AI started rec

>These LLMs are being trained on data sets with bad results and bad code with no real way to tell the difference. No shit. I lost it when Google AI started recommending people to refill their blinker fluid, which is a meme that's sarcastically been parroted all over the internet for decades but Google's AI took it as serious gospel in their training dataset. The fact of the matter is these are just LLMs, not AI, they're only as good as their dataset. And since the entire internet is their dataset, along with all the human trolling, sarcasm and shitposting, and without any logic or intuition to distinguish what is sarcasm and what is not, their answers are gonna be questionably acurate a lot of the times when it comes to generic info that every average joe can have an opinion on. There's no actual intelligence there to call it an AI, it's just a summary of the entire internet, which is definitely useful for some task, but not at replacing human tasks. I saw some people on HN defended Google AI's shitty answers as being very useful for humor and not for real answers, but then that would be the world's most expensive joke machine for a company who's main business is search and thrived as the go-to for web answers. You don't need to delegate 3% of the world's energy, or whatever it is, towards generating only wrong answers that sound funny.