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That only matters if the system you're using requires a specific input to achieve the desired outcome. For example, I can write a prompt for Claude Code to 'wri
by onion2k 10mo ago
That only matters if the system you're using requires a specific input to achieve the desired outcome. For example, I can write a prompt for Claude Code to 'write a tic tac toe game in React' and it will give me a working tic tac toe game that's written in React. If I repeat the prompt 100 times I'll get 100 different outputs, but I'll only get one outcome: a working game.
For systems where it's the outcome that matters but the output doesn't, prompts will work as a proxy for the code they generate.
Although, all that said, very few systems work this way. Almost all software systems are too fragile to actually be used like that right now. A fairly basic React component is one of the few examples where it could apply.
- chrisjj 10mo ago> For systems where it's the outcome that matters but the output doesn't Stochastic parrots do not know the difference.
- onion2k 10mo agoThey don't know anything at all about outcomes. Systems rarely do, whether it's AI or not. Outcomes are 'output * impact', where the impact is what we measure when we see changes driven by the output of the system. In a good process the impact feeds into the system to produce a better output on the next iteration.
- chrisjj 10mo ago> Outcomes are 'output * impact' By that definition, your "systems where it's the outcome that matters but the output doesn't" is a null set.