It’s not AI, it’s an LLM model. It will never become AI, because llm models are incapable of thinking, of reasoning, it’s giving you an answer based on all the answers ever written they have on file. The hallucinations can’t be eliminated.
Don’t believe the hype. These data centers need to be destroyed, after due process by law. They will get bailed out by the government then agree to run social scores on us, that’s what is going to happen.
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.
Hardware is the means of production and software leverages that. AI is part of that software suite working in tandem with hardware to be productive.
I would argue computers in general are both the means of production, as well as the radio networks like LoRa that can let them communicate without large infrastructure buildouts, intstead relying on truly neutral mesh connections with no central servers. Thus is covers both production and communication in one device.
The workers must seize the means of production and communication.
Sam really hates the possibility of this :D
AI is means of production today.
It’s not AI, it’s an LLM model. It will never become AI, because llm models are incapable of thinking, of reasoning, it’s giving you an answer based on all the answers ever written they have on file. The hallucinations can’t be eliminated.
Don’t believe the hype. These data centers need to be destroyed, after due process by law. They will get bailed out by the government then agree to run social scores on us, that’s what is going to happen.
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.
Hardware is the means of production and software leverages that. AI is part of that software suite working in tandem with hardware to be productive.
I would argue computers in general are both the means of production, as well as the radio networks like LoRa that can let them communicate without large infrastructure buildouts, intstead relying on truly neutral mesh connections with no central servers. Thus is covers both production and communication in one device.