I am using a model that runs on a 100 GB300s, near AGI, all bets are off, $10B training run on a 1GW cluster, and it can't realize that when I told it to "please implement v2 of feature X" that I mean delete v1, not support v1 and v2 together, in a weird Frankenstein's monster of the two. Sorry, but I think my job is quite secure for the forseeable future.

This is a perpetual pet peeve of mine with LLMs. They will always opt to ensure "backwards compatibility" with a codebase built 30 seconds ago.

I always have to explicitly state, "we are making a clean break to v1.0, do not implement any compatibility layers".

This is hilarious and blindingly obvious in hindsight that an LLM would fall for that