I’m talking without knowing anything but it seems like LLM’s aren’t orthogonal but instead only insufficient. That is like our consciousness has a library of information to draw on and that library is organized based on references, the LLM could be the library that another software component uses to draw upon for actual reasoning.
That’s part of what Deepseek has been trying to do. They put a bunch of induction logic for different categories in front of the LLM.
I agree, although this seems like an unpopular opinion in this thread.
LLMs are really good at organizing and abstracting information, and it would make a lot of sense for an AGI to incorporate them for that purpose. It’s just that there’s no actual thought process happening, and in my opinion, “reasoning models” like Deepseek are entirely insufficient and a poor substitute for true reasoning capabilities.
I don’t think so, or rather, we don’t know yet. LLMs are not the full picture, but they might be part of it. I could envision a future AGI that has something similar to a modern LLM as the “language / visual centers of the brain”. To continue that metaphor, the part that’s going to be really difficult is the frontal lobe.
edit: Orthogonal to actual reasoning? Sure. But not to “general AI”.
That’s not obviously the case. I don’t think anyone has a sufficient understanding of general AI, or of consciousness, to say with any confidence what is or is not relevant.
We can agree that LLMs are not going to be turned into general AI though
The irony being that LLMs are completely orthogonal to general AI
I’m talking without knowing anything but it seems like LLM’s aren’t orthogonal but instead only insufficient. That is like our consciousness has a library of information to draw on and that library is organized based on references, the LLM could be the library that another software component uses to draw upon for actual reasoning.
That’s part of what Deepseek has been trying to do. They put a bunch of induction logic for different categories in front of the LLM.
I agree, although this seems like an unpopular opinion in this thread.
LLMs are really good at organizing and abstracting information, and it would make a lot of sense for an AGI to incorporate them for that purpose. It’s just that there’s no actual thought process happening, and in my opinion, “reasoning models” like Deepseek are entirely insufficient and a poor substitute for true reasoning capabilities.
I don’t think so, or rather, we don’t know yet. LLMs are not the full picture, but they might be part of it. I could envision a future AGI that has something similar to a modern LLM as the “language / visual centers of the brain”. To continue that metaphor, the part that’s going to be really difficult is the frontal lobe.
edit: Orthogonal to actual reasoning? Sure. But not to “general AI”.
That’s not obviously the case. I don’t think anyone has a sufficient understanding of general AI, or of consciousness, to say with any confidence what is or is not relevant.
We can agree that LLMs are not going to be turned into general AI though
Completely othogonal you say? How perfectly tromulent.
Read a book.
I read plenty. My bs jargon detector is finely honed.
Clearly not.
Enlighten me! What does orthogonal mean in the context you used it in.
Independent; not parallel.