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1246 points adrianh | 2 comments | | HN request time: 0.404s | source
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kragen ◴[] No.44491713[source]
I've found this to be one of the most useful ways to use (at least) GPT-4 for programming. Instead of telling it how an API works, I make it guess, maybe starting with some example code to which a feature needs to be added. Sometimes it comes up with a better approach than I had thought of. Then I change the API so that its code works.

Conversely, I sometimes present it with some existing code and ask it what it does. If it gets it wrong, that's a good sign my API is confusing, and how.

These are ways to harness what neural networks are best at: not providing accurate information but making shit up that is highly plausible, "hallucination". Creativity, not logic.

(The best thing about this is that I don't have to spend my time carefully tracking down the bugs GPT-4 has cunningly concealed in its code, which often takes longer than just writing the code the usual way.)

There are multiple ways that an interface can be bad, and being unintuitive is the only one that this will fix. It could also be inherently inefficient or unreliable, for example, or lack composability. The AI won't help with those. But it can make sure your API is guessable and understandable, and that's very valuable.

Unfortunately, this only works with APIs that aren't already super popular.

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1. slowmovintarget ◴[] No.44495821[source]
That's not creativity.

That's closer to simply observing the mean. For an analogy, it's like waiting to pave a path until people tread the grass in a specific pattern. (Some courtyard designers used to do just that. Wait to see where people were walking first.)

Making things easy for Chat GPT means making things close to ordinary, average, or mainstream. Not creative, but can still be valuable.

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2. sigbottle ◴[] No.44501523[source]
Best way to put it. It's very hard to discuss even slightly unique concepts with GPT. It just keeps strawmanning ideas back to a common consensus without actually understanding the deep idea.

On the bright side, a lot of work is just finding the mean solution so.