Comment by KolibriFly

That’s a good point. I am torn between two competing strains of thought, though:

- on the one hand, time-to-market is super important. Getting to the right place faster is obviously better.

- on the other hand, figuring out right product/right fit is hard, and if a business spends that much cost every 3 days chasing every idea (most of which may be bad ideas), they’ve probably wasted a lot of money.

Obviously token costs are cheaper than developers, and local models would reduce costs still further. But the thought I keep coming to is: maybe there’s a benefit to slowing down and not jumping to implement?

I usually hear the opposite side (better to implement 10 things and throw out 9 of them, easier to react to prototypes, etc.). But I also think the infinity of possible ideas doesn’t get smaller when you throw more engineers or compute at it. You just end up exploring more, possibly bad ideas. This works out if exploring more of the space builds a greater understanding of the problem and increases the likelihood that one of your choices pans out. But the cost of exploring the space isn’t $0 and 0 time.

Replace "plenty" with "all". At that cost, there is not a single business out there that won't benefit from a tool somewhere in their operations that they couldn't have invested in before.

And it's certainly not the same price!

It would be a real win if you could get it. However I don't see it happening. AI has been around long enough that if it was we would see it in new features by now.