AI coding and the peanut butter and jelly problem

It also remembers CLI tool args far better than I do. Before LLMs, I would often have to sit and just read a manpage in its entirety to see if a certain command-line tool could do a certain thing. (For example: do you know off-hand if you can get ls(1) to format file mtimes as ISO8601 or POSIX timestamps? Or — do you know how to make find(1) prune a specific subdirectory, so that it doesn't have to iterate-over-and-ignore the millions of tiny files inside it?) But now, I just ask the LLM for the flags that will make the tool do the thing; it spits them out (if they exist); and then I can go and look at the manpage and jump directly to that flag to learn about it — using the manpage as a reference, the way it was intended.

Actually, speaking of CLI tools, it also just knows about tools that I don't. You have to be very good with your google-fu to go from the mental question of "how do I get disk IO queue saturation metrics in Linux?" to learning about e.g. the sar(1) command. Or you can just ask an LLM that actual literal question.

The disappointment always stayed with me that my instructions were not chosen, as I really had been far more precise than the fun examples she did choose. I recall even explaining which side of the knife to use when taking peanut butter from the jar.

Of course, she would still have found plenty of bugs in my instructions, which I wish I still had.

Thanks for that, and also the pet rats, Ms. Clouser!

This is key. It works because of previous work. People have shared context because they develop it over time, when we are raised - shared context is passed on the the new generation and it grows.

LLMs consume the context recorded in the training data, but they don't give it back. They diminish it because people don't need to learn the shared context when using this tools. It appears to work in some use cases, but it will degrade our collective shared context over time as people engage with and use these tools that consume past shared context and at the same time atrophy our ability to maintain and increase the shared context. Because the shared context is reproduced and grows when it is learned by people. If a tool just takes it and precludes people learning it, there is a delayed effect where over time there will be less shared context and when the performance of the tool degrades the ability to maintain and extend the shared context will also have degraded. We might get to an irrecoverable state and spiral.