Diary of AI CEO [EP.1] : Get to know with “Artificial AGI”
4 Dec 2024
Given the excitement of Generative AI Large-language model (LLM) intelligence and how it can now solve problems, answer questions naturally like humans, words on the street have started to talk about whether we are near AGI or Artificial General Intelligence. AGI can be defined as the AI that is generalized such that it can deduce new knowledge from old ones through reasoning even on the things it has never seen before. However, despite the incredible smartness we have witnessed of LLMs in recent years, at best these LLMs seem to be able to appear intelligent in so many subject domains because of the way it memorizes patterns from the enormous data it has been trained with. And it does not really use reasoning in creating responses. It is argued here that even if we reached what appears to be AGI through current LLM technology, at best it is only artificial AGI hence the term artificial Artificial General Intelligence in the title (it’s not an editing mistake!) What is Artificial AGI? Seemingly, these LLM’s appear to be almost like AGI. But in fact, at best it can only be artificial AGI or Artificial Artificial General Intelligence. That is, the true AGI should be able to reason and infer new domain knowledge from existing domain knowledge it was trained with just like humans do when it is still a small child. The way humans learn just by seeing a few examples of new information is still out of reach of AGI for the same computing resource and memory. It is true that GenAI LLM can seemingly infer correct answers for absolutely new things it has never seen before (zero-shot inference), but the mechanism that it does was simply from seeing many things similar before, not from “reasoning”.
