[galaxyLogic]

I find myself fixing the spec of my software often, and that makes lots of existing code obsolete. Creating working code is getting cheaper with AI, but creating great specs which make the software easy and intuitive to use seems to be more difficult for AI.

Why? Because you have to actually use the product to discover what is wrong, or sub-optimal, with it.

[ahamilton454]

Yeah exactly, I literally don’t know how to change my spec until I’ve gathered more data.

I was building a transaction classifier recently and I initially thought it would be a trivial “solved” problem. Throw transactions into a tiny local LLM, let it classify. But that approach was too slow, and not accurate enough. I didn’t know that though until I tried and then needed to change the spec.

[spwa4]

So wait ... you're not even going to train based on what you want, just "throw into"? Did you actually put in work on a very clear and accurate prompt with a full manual on what to do?

[Exoristos]

Not every lottery winner has a detailed strategy.