Justin D Kruger (@jdavidnet)

I see current LLMs as a next-generation programming language, not the program itself. In that sense, they are remarkably adept at interpreting natural language, identifying intent, and structuring language outputs. In this sense, they are evolving beyond just the programming language and are becoming a sort of a compiler, where prompts create 'agent programs.' These agents are still not smart as you have pointed out. They are simply natural language scripted agents. As money funnels into the engineering of these systems, we are working on networks that can do more abstract reasoning, but are not only LLMs, but are LLMs that map to a latent space that solves abstract problems. This solution set is not yet scalable and is a work in progress. We are, however, finding that like calculators, which don't understand math but are extremely useful, LLMs are also helpful, even though they lack a proper understanding of common sense and the ability to create original thought. I think LLMs are the new JavaScript, but we still need to work on developing true Synthetic Intelligence that can one-shot learn and, once learned, creatively experiment.