alt Hacker NewsIf you’re spending time thinking and not experimenting, then it’s because experimentation is expensive. With an LLM you don’t have to try to predict a complex system in advance, experiments are so cheap to can just converge to a solution directly. None of this pontificating; it’s really not that useful anymore.
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And before long you have a solution that is made up of a thousand pieces of spaghetti that neither you nor anyone else understands. And when your solution becomes too brittle to use, cannot be maintained, or fails catastrophically, then what? Just hope that's someone else's problem?
So the infinite monkeys with infinite typewriters approach.
> If you’re spending time thinking and not experimenting, then it’s because experimentation is expensive.
No, because no amount of experimentation can solve many of the problems that have been solved by thinking. Even your claim about "experiments are cheap" requires thinking to decide what experiments to do. No one is generating all possible solutions that fit in X megabytes; you have to think to constrain the solution space.
This is very naive and reductive thinking. Experiments have a cost, you really have to think carefully about what you are trying to learn. Even when code is cheap, traffic and time are still huge constraints, and you better make sure your hypothesis actually makes sense for your goals, because AI is more than happy to fill in the blanks with a plausible but completely wrong proposal.
More broadly, it's well understood that experiments are not a replacement for design and UX. Google is famously great at the former and terrible at the latter. Sure the AI maxxers will say the machines are coming for all creative endeavours as well, but I'm going to need more evidence. So far, everything good I've seen come from AI still had a human at the wheel, and I don't see that changing any time soon.