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It's a hype bubble. There's a small group if die-hards in the tech-adjacent VC community that talk it up to no end and attack anyone who disagrees (I just saw a
by version_five 4y ago
It's a hype bubble. There's a small group if die-hards in the tech-adjacent VC community that talk it up to no end and attack anyone who disagrees (I just saw a guy ask you if you were "virtue signaling" with your post - lol. And there's lots of people exploring how it could potentially be commercially useful - just like with blockchain. As everyone points out, it's got more going for it than blockchain did because it does something more tangible.
But the jury's still out on the long-run commercial potential of pretty good autocomplete or chat-as-search. It's probably more than zero (like blockchain), but it won't "change everything".
I'd guess that 90% people either agree with your observation or don't notice / care. It's just that these things bring out the vocal defenders, usually a sign people know deep down it's a bit of BS and post out of insecurity
- petesergeant 4y agoI think you're wrong. I never bought into the blockchain hype, and blockchain added literally nothing to my life other than some speculation right at the beginning. I would pay $200 a month for ChatGPT, today, without thinking twice about it. That alone makes me think it's a much, much bigger deal than you think it is.
- throwaway2037 4y agoWhy is this downvoted? It is a good point. My flatmate has a PhD in comp sci, does AI/ML research. He is now paying for ChatGPT "pro" because he is non-native in English and needs a bit of help to improve when writing his papers. He said ChatGPT is so good that he is learning a lot about English by just reading the corrections/improvements. And yes, we have talked/agreed about the scam/sham of blockchain/defi.
- epigramx 4y ago> it does something more tangible it does something more superficially apparent to naive people. decentralization is extremely more important. it will be one of the main ingredients of direct democracy.
- greeny7373 4y ago[flagged]
- bavila 4y agoI've got access to GPT-4 at work. There have been many times that I'll encounter a bug while programming, I'll paste my code to GPT, tell it what my code is currently doing, and tell it what I actually want the code to do. It then explains what I'm doing wrong and what I can do to fix it. I've had success with this over 90% of the time. This saves me a significant amount of time that would have otherwise been spent hunting down solutions on Google, Stack Overflow, GitHub issues, etc. I don't know what else to say other than that I would not willingly go back to life without GPT. The value speaks for itself to me.
- ThalesX 4y agoHow is this possible? What do you guys do at work? I haven't had success with neither GPT-4 (did you build your own API calling tool for it? Do you just paste it in their Playground?) nor with GitHub Copilot in actually delivering anywhere close to 90% of the time. It usually misses a whole lot of context. It feels like it would work for perfectly encapsulated small single purpose functions, which of course sounds great but in reality not many projects are structured like this.
- bavila 4y agoI'm doing frontend work (React/TypeScript), so that probably helps since I am working with relatively small components.
- ThalesX 4y agoI've used it to try and generate some rather small components in React / TypeScript myself, and what it did to arrays of refs with hook calls inside useState hooks initialization function, and the fact that I couldn't get it to fix its issues by doing what people suggest ("just copy paste the error"), or by trying to reason with it, made me not trust it so much. The output code is also pretty low quality in my experience and opinion.
- ativzzz 4y agoHow simple are your bugs? The bugs I usually have to fix at work involve edge cases around complex user interactions that are less programming bugs and more "well we didn't really think about this particular user interaction when developing this feature" - things that are usually simple 1 liner fixes but can take hours to figure out based on back and forth with product to figure out if it's even a bug and tracing where exactly the data/interaction in the code comes from. Until I can paste in my entire codebase and the entire history of the product development process into GPT I don't see how it can help. The bugs that it easily fixes, are generally the bugs whose errors i can copy/paste into google and find an immediate answer on stackoverflow