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The Leverage of LLMs for Individuals

mazzzystar.github.io

111–120 of 311 posts

Re: The Leverage of LLMs for Individuals

#112
post #70

AI tools are absolutely useless once you get past any initial stage in a software development cycle They just can't comprehend what needs to be done even if all that's required are 2 lines of code However, we keep seeing posts from people who don't know html or how to create a chrome extension paternalizing about how we can be much more productive with AI tools. Last I heard a CEO was demanding dev increased producti…

This sounds to me like you have no idea how to properly integrate LLMs into your workflow. Just because they’re not useful for changing large code bases doesn’t mean they can’t be valuable. A few examples of things I’ve used LLMs for: Writing bash scripts to automate various parts my workflow Quickly interpreting complex regex Tutoring me on how to use poorly documented APIs Proof reading important emails Everything…

>Tutoring me on how to use poorly documented APIs

Can you elaborate on this? I would find it very useful.

Re: The Leverage of LLMs for Individuals

#113
post #40

There's a long gap from: I built a podcast search website to: Staying in any company right now is a negative return. We humans are too easily impressed by tricks, and are too willing to extrapolate them to fantasy land. GPT can certainly accomplish an impressive variety of small tasks. Whether it can build large-scale systems that will power tomorrow's world is uncharted territory. Can you build something meaningful,…

Despite the novelty and excitement, the profit potential for AI generated applications and content isn't particularly strong. If you can make something using AI, so can everyone else. You work at a company to make money. Using AI doesn't magically allow you to do that. If you have the ability to make a profitable company, AI may help, but it's not a business plan.

Re: The Leverage of LLMs for Individuals

#114
post #61

Earlier quoted context omitted.

I agree, but I'm worried about where that leaves junior devs - what are the entry level jobs for coders in a post-LLM future?

Assuming it actually happens, how different is it from a ton of other things? Hpw many rote sysadmin or paralegal tasks of 20 years ago still need basically a warm body to do them?

Fewer, I'd assume? What I'm curious about is whether anyone has advice for people getting into programming now.

Re: The Leverage of LLMs for Individuals

#116
post #70

Earlier quoted context omitted.

This sounds to me like you have no idea how to properly integrate LLMs into your workflow. Just because they’re not useful for changing large code bases doesn’t mean they can’t be valuable. A few examples of things I’ve used LLMs for: Writing bash scripts to automate various parts my workflow Quickly interpreting complex regex Tutoring me on how to use poorly documented APIs Proof reading important emails Everything…

>Tutoring me on how to use poorly documented APIs Can you elaborate on this? I would find it very useful.

My current workflow is to copy a bunch of relevant code into GPT4 and then ask it questions about how to use the API. GPT4 is very good at inferring how to use an API, even from code snippets. The key is that you can paste large amounts of unstructured code and GPT4 will make sense of it.

Re: The Leverage of LLMs for Individuals

#117

AI tools are absolutely useless once you get past any initial stage in a software development cycle They just can't comprehend what needs to be done even if all that's required are 2 lines of code However, we keep seeing posts from people who don't know html or how to create a chrome extension paternalizing on how we can be much more productive with AI tools. Last I heard a CEO was demanding dev increased productivit…

> AI tools are absolutely useless once you get past any initial stage in a software development cycle

Not sure I agree. The initial stage will be the one where most of high-level, broad thinking happens. Once the cycle starts in the earnest, more and more time is spent on the usual software drudge work. I find GPT-4 excels at helping with this kind of coding.

I'm reserving judgement on the higher-level / more abstract aspects of software engineering, as I haven't had a chance to try it. My suspicion is that GPT-4 will excel at helping you think through an issue interactively, but may have trouble actually coming up with whole designs on its own, not unless you spend so much effort crafting a context for it ("getting it up to speed" on your problem space) that you'll quickly find better designs in the process.

> Last I heard a CEO was demanding dev increased productivity or firing some devs because he daw a Youtube video on how easy it is to create a website now

With wix, squarespace and other brands I consciously try to forget about (in proportion to how much advertising spam from them I see, despite using adblockers everywhere I can), plenty of web devs are having a hard time justifying their salaries. At this point, AI tools aren't even competing with them - they're competing with wix, squarespace, et al.!

Still, I hope that CEOs replacing workers with ChatGPT are a myth. If not, that's IMO an idiot thing to do. Not because ChatGPT won't manage to do the job - but because the only model in existence, that has capabilities required to effectively replace humans in some jobs, is owned by a single company, has been available for only two-three months so far, and that's in a limited beta. We don't know yet what the limits of GPT-4 are, how to effectively use it, and at any point OpenAI can just take their access away. At this point, it's a great tool to use while it's available, but it's not something you want to hinge your project/business on mid-to-long-term.

Re: The Leverage of LLMs for Individuals

#118
post #40

There's a long gap from: I built a podcast search website to: Staying in any company right now is a negative return. We humans are too easily impressed by tricks, and are too willing to extrapolate them to fantasy land. GPT can certainly accomplish an impressive variety of small tasks. Whether it can build large-scale systems that will power tomorrow's world is uncharted territory. Can you build something meaningful,…

Totally agreed.

Punch cards are such an arduous technology to use, they're effectively useless. Therefore it's pretty clear to me computation is not really going anywhere as a technology and I highly doubt much more progress can be made.

(Sentiment of some, years ago)

Re: The Leverage of LLMs for Individuals

#119

> More importantly, it gives me the courage to dream and attempt things beyond my current abilities. This is one of the small things that GPT has pushed me to do. I'm an experienced programmer and grew up playing video games, but I am not a game developer. I've dabbled over the years but can't build anything outside of a tutorial. The other day, using GPT I went through and made a Pixel Dungeon clone using Phaser (Ja…

I like how everyone has been using ChatGPT to code in Javascript, as I have done something as well.

TypeScript happens to be my current strongest language. I picked Phaser since I wanted to learn the ins and outs of building the game and not need to worry about the language I was writing in. This was also helpful because GPT-4 would still get small things wrong with the TypeScript, but I was able to easily fix those without needing to ask it.

If I had tried this in Unity and C# (which I don't know at all), I'd still be figuring out the standard library.

I generally recommend learning one new thing at a time when building something new.

Re: The Leverage of LLMs for Individuals

#120
post #86
post #74

Earlier quoted context omitted.

That's high enough for most users, I reckon.

40k tokens per minute is enough for most users is the next "640K ought to be enough for anybody"

Indeed, if context lengths grow to millions of tokens, and prices are cheap enough, I could see users feeding their entire codebase in to ask a simple question about it - or feed in every email from their inbox to find something specific they're looking for, or use as style/content guides to write a response.
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