That's a very constructive way of responding to AI being hot trash.
This is generally how you work with LLMs.
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That's a very constructive way of responding to AI being hot trash.
This is generally how you work with LLMs.
I have fun asking Chatbots how to clear the chat and seeing how many refer to non-existent buttons or menu options
No, because you'll be held responsible for the misinformation being accurate: users will say it is YOUR fault when they learn stuff wrong.
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…
I wrote this the other day: > Hallucinations can sometimes serve the same role as TDD. If an LLM hallucinates a method that doesn’t exist, sometimes that’s because it makes sense to have a method like that and you should implement it. — https://www.threads.com/@jimdabell/post/DLek0rbSmEM I guess it’s true for product features as well.
> Maybe hallucinations of vibe coders are just a suggestion those API calls should have existed in the first place.
> Hallucination-driven-development is in.
https://x.com/pwnies/status/1922759748014772488?s=46&t=bwJTI...
Anyone who has worked at a B2B startup with a rouge sales team won't be surprised at all by quickly pivoting the backlog in response to a hallucinated missing feature.
I find it interesting that any user would attribute this issue to Soundslice. As a user, I would be annoyed that GPT is lying and wouldn't think twice about Soundslice looking bad in the process