Look, I don’t believe that an AGI is possible or atleast within the next few decade. But I was thinking about, if one came to be, how can we differentiate it from a Large Language Model (LLM) that has read every book ever written by humans?
Such an LLM would have the “knowledge” of almost every human emotions, morals, and can even infer from the past if the situations are slightly changed. Also such LLM would be backed by pretty powerful infrastructure, so hallucinations might be eliminated and can handle different context at a single time.
One might say, it also has to have emotions to be considered an AGI and that’s a valid one. But an LLM is capable of putting on a facade at-least in a conversation. So we might have to hard time reading if the emotions are genuine or just some texts churned out by some rules and algorithms.
In a pure TEXTUAL context, I feel it would be hard to tell them apart. What are your thoughts on this? BTW this is a shower-thought, so I might be wrong.
Think of it this way:
If I ask you can a car fly? You might say well if you put wings on it or a rocket engine or something, maybe? OK, I say, so I point at a car on the street and ask: Do you think that specific car can fly? You will probably say no.
Why? Even though you might not fully understand how a car works and all the parts that go into it, you can easily tell it does not have any of the things it needs to fly.
It’s the same with an LLM. We know what kinds of things are needed for true intelligence and we can easily tell the LLM does not have the parts required. So an LLM alone can never ever lead to AGI, more parts are needed. Even though we might not fully understand how the internals of an LLM function in specific cases and might also not know what parts exactly are needed for intelligence or how those work.
A full understanding of all parts isn’t required to discern large scale capabilities.