281–290 of 311 posts
I have also been using GPT as a force multiplier for my coding, especially in areas where I'm less comfortable like frontend. I put together a tool called `aider` for chatting with GPT-4 about code, having it make changes and keeping track of it all in git. It's feeling like a very nice workflow. @mazzystar you might want to give it a try if you have GPT-4 api access: https://github.com/paul-gauthier/aider
how do i use gpt4? i've tried requesting the api with that model and get denied. nor do i see anywhere in the chatgpt ui to upgrade to gpt4.
Well, this very concept applies to you too, dear solo captain. Nobody is going to pay you any money for your podcast search app that you prompted together in record time.
As you get better at this, sure enough you might create something tangible and substantial that otherwise would have taken a small team or take 10 times as long.
But guess what? These super powers aren't exclusive. Anybody will be able to do it. So the execution becomes irrelevant and value is based on the idea being unique, and even if that, it will be instantly copied.
Even an idea being unique doesn't have to translate in success. We don't exactly have a shortage of software or content, we're already drowning in it and can't even keep up with tools. How would you be even be noticed in an abundance of ideas?
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Given the token count limits on input and output, I've been wondering how folks work on these long-running projects? Is it just not a problem, or are there some tactics? I find in trying to build up lengthy outputs that it starts truncating or leaving out things from way before.
I think this is a good question. Screenshots are hard on HN, but I could write up a blog post about it all once I have a demo of the game. I've been using ChatGPT and GPT-4 since they came out, so I'm pretty aware of their limitations. You can't build an entire project in a single project. GPT loses the context at one point. With that in mind, break down the project into chunks and make each one a conversation. For m…
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Wait. I have an API key. Is GPT-4 available already?
Only if you've gotten through the waitlist. I signed up at least a month ago, no word. There was a comment thread the other day about getting around the wait by selecting the option that you're looking to build plugins, which apparently gets you expedited. I haven't tried it. As always, YMMV.
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Not really. Ideas have always been cheap. They occur to everyone. Most of them aren't great, let alone good. But good ideas, even great ones, rarely mean much on their own. It's always been execution.
Well you need both, a great idea and great execution. I agree with your sentiment though that execution (and timing) are the differentiation.
I am happy that so many people get to experience the feeling me and other software engineers feel when we write code. OpenAI democratize some of this feeling and now people that never knew how to code can experience the rush of creating something new using code. In a world where a lot of AI Researchers that develop these amazing models are slowed down by their lack of "normal" engineering skills I think it's very app…
The reason people can't code isn't because an external force is preventing them, it's because they aren't putting the work in.
I don't know how to paint, is the solution to "democratize" painting by waiting until an AI can do it for me?
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I think that depends on how you use the tool. For example asking for answers vs asking probing questions while working something out. So it’s probably up to you as an individual. If you’re missing out on “all this” you might just be asking for answers.
If people built pages or software in one day, they seem to ask for answer too. These means they are the less useful part in the development process and can easily be replaced. That's why I don't see the big leverage for individuals in that kind of development. They will be one of millions with exactly the same skill set and lost without GPT. It sounds like those boot camp courses: Build ten projects in ten days to be…
> Doesn't work, and I think people will overestimate their skill because GPT helped them to do a clone of something that already exists thousandfold.
I don't mean to be rude, but was this text generated by GPT? It's breaking my brain.
> Current documentation is written for human reading, with a mix of text and code blocks that makes copying a poor experience. Perhaps soon, documentation and APIs will become GPT-friendly first. Yes. I have recently annotated my Pydantic models and fields with the explicit intention to use the resulting JSONSchema to inform GPT how to structure some information (in effect, writing a one-off client for an internal AP…
I thought the point of GPT is to be human like and not that humans adapt to GPT.