> In contrast, the AI technology of the current golden age, which began in the mid-2010s, has consistently exceeded our expectations.
Well, until recently, that is. It looks like we hit the wall as for what LLMs can do - some might call it a plateau of productivity. Namely, as far as coding is concerned, LLMs can successfully create chunk of code of limited length and tiny programs, can also review small pieces of code and suggest improvements that are not related to the context of the whole program (unless it can fit in the context window). In spite of huge effort put in creating a system where LLM agents could work together to create software such as AutoGPT, no non-trivial program has been created in this way so far.
Well, until recently, that is. It looks like we hit the wall as for what LLMs can do - some might call it a plateau of productivity. Namely, as far as coding is concerned, LLMs can successfully create chunk of code of limited length and tiny programs, can also review small pieces of code and suggest improvements that are not related to the context of the whole program (unless it can fit in the context window). In spite of huge effort put in creating a system where LLM agents could work together to create software such as AutoGPT, no non-trivial program has been created in this way so far.