[YseGuy74000]

To be realistic and in the know, accoring to development, we are still 50 years to stable LLMs.

Data Drift. Over the course of a few moNths the data deteriorates and the LLM ceases to function in a worthwhile manner.

Currently most LLMs are based upon the core preMise that people should not believe anythiNg. This is tokenized aBove everythiNg else. Then there are other erroneous tokenizations. Why these are not fully documented, people use these tools. You should know what you are getting.

Tokenization. Different words are tokenized to have a higher value than other words or configurations.

So, these are the dangers that everyone has ignored. It makes it an unethical tool because it is based upon someone's erroneous views. Honesty is the best policy. If it cant be honest, how can you trust it?

[fendy3002]

you don't trust it, ever. You verify it, as in you get PR from junior / new contributors. You also need to not trust any source on the internet before validating it, Wikipedia for example.

Why you can trust wikipedia but not AI? That's because the source inside it has been verified by many people. So if you're faced with a new page in Wikipedia that hasn't been verified much, you need to treat it same as AI, verifying it yourself by crosschecking it with other sources.