I disagree. They Not every technological advance "improves" at an exponential rate. The issue is that LLMs don't "understand." They merely copy without contri

I disagree. They Not every technological advance "improves" at an exponential rate. The issue is that LLMs don't "understand." They merely copy without contributing original thought or critical thinking. This is why LLMs can't handle complicated concepts in codebases. What I think we'll see in the long run is: (Short term) Newer programming models that target LLMs: IE, describe what you want the computer to do in plain English, and then the LLM will allow users to interact with the program in a more conversational manner. Edit: These will work in "high tolerance" situations where small amounts of error is okay. (Think analog vs digital, where analog systems tend to tolerate error more gracefully than digital systems.) (Long term) Newer forms of AI that "understand." These will be able to handle complicated programs that LLMs can't handle today, because they have critical thinking and original thought.