14 ms·

a little melodramatic at the end. As with every openai release, I’d take it with try a grain of salt until it sees wide public usage. So far every iteration o

• josephg 2y ago
  I think they definitely add some value. For example, I haven’t written complex sql queries since I was in school 20 years ago. Recently Claude helped me write a recursive database query which did an in-database graph traversal. It would have taken me way more time to relearn how to do that from scratch. But I don’t think many people are that worried about gpt4. We’re worried about what it’ll look like with 5-10 more years of progress. O3 is apparently already better than 99% of competition programmers or something - it just costs thousands of dollars of compute per query. But give them a few short years.
  • stanislavb 2y ago
    Yes, I think this is the major factor to consider. If it’s only the cost that’s stopping it from replacing real people, then it’s a matter of a few to max several years to be more than cost effective.
  • silisili 2y ago
    Complex SQL and regex are pretty much my only current use cases for it. Saves tons of time doing things you don't do every day so rusty, but still can tell whether it's doing what you were asking for.
    • jordanb 2y ago
      It's basically a replacement for Stack Overflow, made possible by scraping Stack Overflow.
  • dartos 2y ago
    I’ll believe what they say about O3 when it starts seeing use in the wild.
  • rootnod3 2y ago
    On the other hand one could argue that you should understand the code you write. A super complex in-database graph traversal should probably be properly understood in case performance problems pop up. Or the problem itself should be broken down differently.
    • josephg 2y ago
      Once Claude gave me the query, I read it, asked questions about how it works and asked about potential changes. “Why is this bit here? Couldn’t we do it like this instead?” And so on. We went through about 5 variants of the same query, Claude and I. They didn’t all work. I’m still no expert. But I have a lot more confidence in that query & how it works than I would have from cobbling something together from stackoverflow.
• righthand 2y ago
  I have needed 0 LLM tools to efficiently do my job since any release of any models. This predates OpenAI. The code suggestion/autocomplete has been sometimes nice but rarely is what I’m going to type out. I don’t discourage use of LLMs but I don’t encourage it either. If you need to pay OpenAI to get your work done then that’s on you.
  • wawhal 2y ago
    > but rarely is what I’m going to type out. Just curious, does it matter? For some simple boilerplate code, simple test cases and simple skaffolding, which is needed in most applications, do you even care?
    • righthand 2y ago
      But simple scaffolding, test cases, boilerplate was around before LLMs via code generators/scaffolders, so yes, it’s revised history to pretend like an LLM invented those things. None of those things are complex ideas either. I’m not sure I understand what you’re asking though.
      • anonzzzies 2y ago
        While true, LLMs are just a more advanced version of it. Let's take Go as example as that is a very boilerplatey language; with claude, I only have to write the meat, for instance; result, err:= doSomething() and it'll generate the rest around it. Every time. Faster than I would type it and with more eye for detail (I am lazy, I will forget things as I did it now the 10004th time). So you can imagine some boilerplate scaffold thing that would do this err handling for you, but if you have a custom one, for 'old' tools you would have to tell the tool; now it just does it. It especially becomes clear in frontend tasks: it just generates 100+ lines of react that work and look good; who likes writing they type of thing manually? I know 0 people who do: after that you will want to tweak it, but the 100k+ lines of react we generally have in a project are not something we would want to write these days from scratch. Which old school scaffold etc tool does that? So that it is 80-90% there for SaaS first shot? I know nothing (doesn't exist) without the lovely verboseness of having to type a million tags? It saves us a lot of time we don't have to spend on boring stuff. We only have to write the actual business logic and data models; the rest drops out. And of course we only have to write that very loosely, not formally.
• dawnerd 2y ago
  Lately copilot has been giving me outright u correct information and when you tell it, it’ll admit it lied and give another incorrect answer. Not even that obscure of a question either. I have zero trust in it being able to generate anything more than bare bones boiler plate (and even then). I also feel they’ve made responses fairly wordy to make it appear to know stuff.
  • sdesol 2y ago
    Can you ask for the prompt when chatting?