| Yeah nothing personal but my claim here is you’re not smart. The next token predictor aspect is something anyone can understand… the transformer is not quantum physics. Like look at what you wrote. You called it black box magic and in the same post you claim you understand LLMs. How the heck can you understand and call it a black box at the same time? The level of mental gymnastics and stupidity is through the roof. Clearly the majority of the utilitarian nature of the LLM is within the whole section you just waved away as “black box”. > Where people get "The AIs have emotions!!!" from returning an array of integers values is beyond me Let me spell it out for you. Those integers can be translated to the exact same language humans use when they feel identical emotions. So those people claim that the “black box” feels the emotions because what they observe is identical to what they observe in a human. The LLM can claim it feels emotions just like a human can claim the same thing. We assume humans feel emotions based off of this evidence but we don’t apply that logic to LLMs? The truth of the matter is we don’t actually know and it’s equally dumb to claim that you know LLMs feel emotions to claiming that they dont feel emotions. You have to be pretty stupid to not realize this is where they are coming from so there’s an aspect of you lying to yourself here because I don’t think you’re that stupid. |
With an input context that contains words that excite certain human emotions, the output of the core LLM function will generate a token probability distribution that is representative for the human emotions displayed by humans in the training texts.
This is something expected and non-sensational. An LLM mimics the human behavior that was recorded in the training texts, much in the same way as a photographic image of a human face mimics the appearance of that human face.
A photographic image is designed to reproduce the light field created by a face that reflects the ambient light, a LLM is created to reproduce the typical conversational behavior that was recorded in the training texts.
Depending on how it was trained, one should expect a LLM to be affected by the choice of words used in the input in a similar way how a human would be affected.
However, that does not mean that a LLM that shows signs of emotional distress feels some pain because of that. A LLM is designed for mimicry and it does not feel more pain or more happiness than a photograph of a wound feels pain from the wound or a photograph of a smiley face feels happiness.
The fact that the current LLMs do not actually feel the human emotions that they may be able to mimic in an accurate way, does not mean that you could not build a robot which would have some built-in mechanisms for feeling pain and various emotions, which could be made to have similar functions like in an animal, serving a functional purpose and not being used for mimicry. However, for now it does not make any sense to attempt to do such a thing, because in a deterministic program there are better ways to ensure that a robot is "loyal" to its owner and acts in self-preservation when possible.