A reasoning engine in an infinite loop of calling itself referencing a sense of self and sensory input.
Essentially asking a language model to “pretend you are a..” and give an answer is no different than what happens in the human mind, except in us it happens in an infinite loop. We consider what we think we are, and act in the way our reasoning engine thinks what we are would do given the current sensory input.
Ok, interesting. It sounds like that would mean the language area of the brain is responsible for C? Or is it the architecture of LLMs that is just working on thought patterns?
I'm not sure current LLMs could run efficiently in what is basically real time. Even if a single input returns in sub-seconds, doing that a hundred times a second would probably take a huge number of GPUs.
In a way yes but not entirely, there is a larger loop of the language model that is in effect what consciousness is.
The cool thing about this is that we could actually use more efficient language models (think GPT 3.5 instead of GPT 4) as the core language model and achieve a much higher level of problem solving capability with this loop. People are already on to this idea with things like baby AGI but I don't think anyone else has defined the exact structure and how it describes consciousness yet as I think I have.
Edit: there are also things that I've been able to nail down like short term and long term memory that are key to consciousness as well.
Edit 2: Note that conscious minds do not solve in real time, after giving a human a problem to solve it has to spend time thinking before it can come up with a solution. Read: consciousness is not feed forward.
Essentially asking a language model to “pretend you are a..” and give an answer is no different than what happens in the human mind, except in us it happens in an infinite loop. We consider what we think we are, and act in the way our reasoning engine thinks what we are would do given the current sensory input.