My work has required us all to be "AI Native". I am AI skeptical but am the type of person to try to do what is asked to the best of my ability. I can be wrong, after all.

There is some real power in AI, for sure. But as I have been working with it, one thing is very clear. Either AI is not even close to a real intelligence (my take), or it is an alien intelligence. As I develop a system where it iterates on its own contexts, it definitely becomes probabilistically more likely to do the right thing, but the mistakes it makes become even more logic-defying. It's the coding equivalent of a hand with extra fingers.

I'm only a few weeks into really diving in. Work has given me infinite tokens to play with. Building my own orchestrator system that's purely programmatic, which will spawn agents to do work. Treat them as functions. Defined inputs and defined outputs. Don't give an agent more than one goal, I find that giving it a goal of building a system often leads it to assert that it works when it does not, so the verifier is a different agent. I know this is not new thinking, as I said I am new.

For me the most useful way to think about it has been considering LLMs to be a probabilistic programming language. It won't really error out, it'll just try to make it work. This attitude has made it fun for me again. Love learning new languages and also love making dirty scripts that make various tasks easier.