Confidently incorrect. It has reasoning layers. It creates new text based on the context of the previously written conversation. That conversation could be in the context of things that weren’t in it’s training dataset, and you still will receive some sort of an answer.
You don’t need a datacenter to run LLMs. A decently strong PC can run useful stuff already. The real fight is not anti-AI, the real fight is locally run AI (means of production you own) vs datacenter AI (means of production you rent, that can be restricted any moment).
What we call hallucinations is operating on a lot of assumptions while you don’t have enough data, instead of saying “I actually don’t know what am I doing”. People do it too.
It’s not like that’s not a problem, sure, but the further this tech goes, the better it is at not hallucinating hard.
Confidently incorrect. It has reasoning layers. It creates new text based on the context of the previously written conversation. That conversation could be in the context of things that weren’t in it’s training dataset, and you still will receive some sort of an answer.
You don’t need a datacenter to run LLMs. A decently strong PC can run useful stuff already. The real fight is not anti-AI, the real fight is locally run AI (means of production you own) vs datacenter AI (means of production you rent, that can be restricted any moment).
It’s not AI, and it’s you that is confidentally incorrect.
LLM’s can never eliminate hallucinations. LLM’s are not artificial intelligence.
What we call hallucinations is operating on a lot of assumptions while you don’t have enough data, instead of saying “I actually don’t know what am I doing”. People do it too.
It’s not like that’s not a problem, sure, but the further this tech goes, the better it is at not hallucinating hard.