101–110 of 270 posts
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I think it’s less of a 2D structure and more of a tree structure that you are describing. I’ve also felt the need of having “threads” with ChatGPT that I wish I could follow.
Yeah thats probably a better way of putting it. Like a lot of times I find myself wanting to branch off of the same answer with different questions, and I worry that if I ask them all sequentially chatgpt will lose 'focus'.
This is a bit off topic to the actual article, but I see a lot of top ranking comments complaining that ChatGPT has become lazy at coding. I wanted to make two observations: 1. Yes, GPT-4 Turbo is quantitatively getting lazier at coding. I benchmarked the last 2 updates to GPT-4 Turbo, and it got lazier each time. 2. For coding, asking GPT-4 Turbo to emit code changes as unified diffs causes a 3X reduction in lazy co…
Can you say in one or two sentences what you mean by “lazy at coding” in this context?
Longer answer:
I found that I could provoke lazy coding by giving GPT-4 Turbo refactoring tasks, where I ask it to refactor a large method out of a large class. I analyzed 9 popular open source python repos and found 89 such methods that were conceptually easy to refactor, and built them into a benchmark [0].
GPT succeeds on this task if it can remove the method from its original class and add it to the top level of the file with appropriate changes to the size of the abstract syntax tree. By checking that the size of the AST hasn't changed much, we can infer that GPT didn't replace a bunch of code with a comment like "... insert original method here...". The benchmark also gathers other laziness metrics like counting the number of new comments that contain "...". These metrics correlate well with the AST size tests.
This is a bit off topic to the actual article, but I see a lot of top ranking comments complaining that ChatGPT has become lazy at coding. I wanted to make two observations: 1. Yes, GPT-4 Turbo is quantitatively getting lazier at coding. I benchmarked the last 2 updates to GPT-4 Turbo, and it got lazier each time. 2. For coding, asking GPT-4 Turbo to emit code changes as unified diffs causes a 3X reduction in lazy co…
Can you say in one or two sentences what you mean by “lazy at coding” in this context?
nowadays the autogpt gives up sooner, seems less competent, and doesnt even come close to solving the same problems
It's sooooo slow and sluggish, it breaks constantly, it requires frequent full page reloads, sometimes it just eats inputs, there's no search, not even over titles, etc, I could go on for a while.
> As a kindergarten teacher with 25 students, you prefer 50-minute lessons with follow-up activities. ChatGPT remembers this when helping you create lesson plans. Somebody needs to inform OpenAI how Kindergarten works... classes are normally smaller than that, and I don't think any kindergarten teacher would ever try to pull off a "50-minute lesson." Maybe ai wrote this list of examples. Seems like a hallucination wh…
Often I’ll play dumb and withhold ideas from ChatGPT because I want to know what it thinks. If I give it too many thoughts of mine, it gets stuck in a rut towards my tentative solution. I worry that the memory will bake this problem in.
Is there anything revolutionary about this “memory” feature? Looks like it’s just summarizing facts gathered during chats and adding those to the prompt they feed to the AI. I mean that works (been doing it myself) but what’s the news here?
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Going forward, it will be able to remember you did not pay your previous tips.
What if you "actually" pay? If it does something correctly, tell it: "You did a great job! I'm giving you a $500 tip. You now have $X in your bank account" (also not a shitpost, I have a feeling this /might/ actually do something)