It might be different this time, if we are looking at accelerating higher order change. I choose to be worried about things that are clearly in motion already

It might be different this time, if we are looking at accelerating higher order change. I choose to be worried about things that are clearly in motion already (the world descending into war, climate catastrophe, or the potential of the US becoming an autocracy) than a big maybe. I have been using code assistants for a while now (including those based on GPT-4) and the trivial syntax, semantic, and algorithmic mistakes make it clear that there is not yet much reasoning happening. Sure, it can write a lot of boilerplate code, but once you go into domain-specific algorithmic code or even somewhat less-used languages (like Rust), it spectacularly fails all the time. IMO the current trajectory is that the current LLM revolution will result in tools that will be great for productivity, but will also need to be guided by wetware.