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- cross-posted to:
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OpenAI launched ChatGPT Agent on Thursday, its latest effort in the industry-wide pursuit to turn AI into a profitable enterprise—not just one that eats investors’ billions. In its announcement blog, OpenAI says its Agent “can now do work for you using its own computer,” but CEO Sam Altman warns that the rollout presents unpredictable risks.
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OpenAI research lead Lisa Fulford told Wired that she used Agent to order “a lot of cupcakes,” which took the tool about an hour, because she was very specific about the cupcakes.
I needed about 30 minutes to do a python application from scratch that took linear JSON data files, merged them and presented them as a tree in a GUI.
Before that I had barely done anything in python, basically could do a basic function declaration with a simple operation and nothing else. I even didn’t have a lot of experience with UI at all.
But like you I had experience with java and such, and those skills transfer. All it took was searching basic syntax/related code examples and required library imports. And I mean basic, search engine search, not AI answers.
All I’m saying is, I really don’t think AI is providing anything a lot more efficient than doing a good old crawl through API docs and stack overflow. So the fact it’s using tremendous amounts of resources to maybe achieve a 10% efficiency boost is bothering me a lot.
If that was a 10% boost for you and you could’ve done it in 33 minutes without AI or experience, then my imposter syndrome has been right all along!
I’d bet that would’ve taken me a few days and maybe buying a reference book and starting with hello world.
Did the AI gave you a starting point that would be very different from a bit of code someone submitted 10 years ago on stack exchange? Because in my experience, everything has already been asked and answered. This includes the most basic and naive stuff, and often I am very grateful for it, because, yeah, sometimes I need someone to guide me through the most basic stuff.
In fact, the AI needed that exact knowledge base and a bunch more to exist in the first place. It’s just vaguely competent at retrieving it.
Anyway, I didn’t say I had no experience, just the most minimal python experience. There are definitely a few quirks I had to learn (the data structures mostly), but for the rest is mostly finding the right method in the reference library, like you would in java.
Logically, you would be right. My practical experience is I waste a lot less time trying to google multiple explanations something because one by itself isn’t helping me figure it out, writing bugged PoC test code and thinking something is broken, sorting through a bunch of things that haven’t been relevant for 3 versions, etc.
Of course the AI is trained on the same material we can an all find and read, but it does it orders of magnitude more quickly. The trade off is that it’s not always right, but neither am I and neither are most sources on the internet right in all circumstances. But it’s so fast and easy that I can iterate and evolve designs and understanding much more quickly than I could on my own.
There’s also the fact that
Now, these things could both change over time, but humans are much more efficient to train than current state of the art probability sieves we call GenAI.
It’s only assuming if you aren’t specific enough. And you do know their training is usually a year or two or 3 old. So they don’t know about whatever new shit your trying to work with.