I wouldn’t say lazy, LLMs are fast to use and much more cost effective especially if you factor the cost and time of training (data preparation, data cleaning, … etc).

It’s hard to justify several months to business when there is something off-shelf ready to use and doesn’t require domain specialists to run.

People have been having this same debate in a very similar way on typed languages vs untyped interpreted languages. I think that, in a similar vein, if you look at the trend over time:

- the addition and standardization (with incomplete coverage) of the solution of adding typing to Python

- how much people are re-discovering the value of performance + typing (e.g. Rust)

then I'm going to take a small leap and extrapolate that the trend will be similar here.

The equivalent of the "one off script in python" will be the LLM, and the long term stable and maintainable solution will be something much more structured and focused like Jev.