There are lots of articles about bad use cases of ChatGPT that Google already provided for decades.
Want to get bad medical advice for the weird pain in your belly? Google can tell you it’s cancer, no problem.
Do you want to know how to make drugs without a lab? Google even gives you links to stores where you can buy the materials for it.
Want some racism/misogyny/other evil content? Google is your ever helpful friend and garbage dump.
What’s the difference apart from ChatGPT’s inability to link to existing sources?
Edit: Just to clear things up. This post is specifically not about the new use cases that come from AI. Sure, Google cannot make semi-non-functional mini programs automatically, and Google will not write a fake paper in whole for me. I am specifically talking about the “This will change the world” articles, that mirror stuff that Google can do exactly like ChatGPT can.
One enables the other, or rather the snake is constantly eating itself. SEO content and clickbait were already plagiarizing and consuming human communication, polluting the web by crowding out actual information – ChatGPT and LLMs calcify and turbo-charge this. Tech companies are reacting by piling their own LLMs on top – ingesting garbage and generating yet more garbage. Soon enough, appending " reddit" to our search terms will not be enough to quickly and freely get human information from the web.
Meanwhile – laymen are being told that ChatGPT is an oracle, an intelligence, by companies and enthusiasts trying to build a crypto-style hype train. And the laymen are reacting accordingly. They are being told that ChatGPT knows everything. It doesn’t even know what a pineapple is.
Yeah, the direction commercial AI took is truely disheartening… Like, AI is a useful tool, but it’s been buisnesized where everyone puts AI is places where it shouldn’t be. Mostly because people don’t understand what they are doing so surely an AI model will…
The other day a dude wanted to dev an app with me about some random shit with an AI, except it could all be done with standard algorithms, and would probably perform much better too.
I looked at him and almost facepalmed on the spot…
Yeah, like that one in this thread who uses an LLM in Python to perform trivial tasks. They write a function with an LLM prompt as the body and then it gets executed by the LLM at runtime. Python was apparently not inefficient enough.
I don’t know, if I need a trivial function I just code it. Then I know it works and performs in a decent time.
I mean, that use case is definitely cool, but there is no way this should ever be used in production code.
It’s kinda like using dynamite as a novel heating system.