> For that you need to somehow make more money than you are spending.

I've had this idea of 'business as reducing entropy' floating around in my head for awhile. It's a neat way to think about the value a business offers to buyers; a washing machine manufacturer is selling reduced time to reduced entropy (clean cloths), spreadsheet software is selling reduced time to understanding (information from tabulated data), and so on.

From that perspective, a lot of AI-driven development is failing.

We're still in the phase of 'how do we get order out of semi-average chaos?' for LLMs. For ML we're largely past that point.

I've been using this framing as a means to guide me towards 'what is actually useful, what might someone actually buy'. I don't have my own business at this point, but its still fun to think about off and on.

Just stop thinking of software products. There are a million businesses offering solid value propositions that need a lot of software to run, but software isn't the product.

I think this is application dependent. LLM's are quite good for brainstorming, even if they are not arguably creative, at least they draw from a lot of information that is already out there, which saves me time in researching and learning.

> I've had this idea of 'business as reducing entropy' floating around in my head for awhile

You could generalize this to the purpose of life itself, probably.