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this post was submitted on 24 May 2024
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Technology
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It's been a tremendous help to me as I relearn how to code on some personal projects. I have written 5 little apps that are very useful to me for my hobbies.
It's also been helpful at work with some random database type stuff.
But it definitely gets stuff wrong. A lot of stuff.
The funny thing is, if you point out its mistakes, it often does better on subsequent attempts. It's more like an iterative process of refinement than one prompt gives you the final answer.
Or it get stuck in an endless loop of two different but wrong solutions.
Me: This is my system, version x. I want to achieve this.
ChatGpt: Here's the solution.
Me: But this only works with Version y of given system, not x
ChatGpt: Try this.
Me: This is using a method that never existed in the framework.
ChatGpt:
I used to have this issue more often as well. I've had good results recently by **not ** pointing out mistakes in replies, but by going back to the message before GPT's response and saying "do not include y."
Agreed, I send my first prompt, review the output, smack my head “obviously it couldn’t read my mind on that missing requirement”, and go back and edit the first prompt as if I really was a competent and clear communicator all along.
It’s actually not a bad strategy because it can make some adept assumptions that may have seemed pertinent to include, so instead of typing out every requirement you can think of, you speech-to-text* a half-assed prompt and then know exactly what to fix a few seconds later.
*[ad] free Ecco Dictate on iOS, TypingMind’s built-in dictation… anything using OpenAI Whisper, godly accuracy. btw TypingMind is great - stick in GPT-4o & Claude 3 Opus API keys and boom