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AI is stifling new tech adoption?

vale.rocks

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Re: AI is stifling new tech adoption?

#381

Post by cpursley »

lasagnagram wrote: post #353
milesvp wrote: post #300

Earlier quoted context omitted.

Strong disagree here. I've been trying to learn Zig, and I'm thwarted enough by chatgpt giving me outdated information on Zig's unstable API that if I didn't have a strong incentive to learn it for it's cross compiler, I'd likely turn my efforts towards another language. This effect can greatly alter the adoption curve of a new tech, which can leave it dying on the vine. You're not wrong though, in that Stack Overflo…

Have you considered learning by reading documentation and tutorials, instead of asking the lie generator? I mean, how do you think people learned things before 2023?

Have you considered just walking backwards uphill in the snow to your local library and checking out an (out of date) dead tree book, like - you know like us "real" programmers used to do it?

The gatekeeping around using llms for coding is so goofy (and expected)...

Re: AI is stifling new tech adoption?

#382

Post by cpursley »

lasagnagram wrote: post #354

No, new tech is just 100% extractive, wealth-generating garbage, and people are sick and tired of it. Come up with something new that isn't designed to vacuum up your data and your paycheck, and then maybe people will be more enthusiastic about it.

Who's it extracting from?

Re: AI is stifling new tech adoption?

#383

Post by kdmtctl »

chrisco255 wrote: post #35

This makes me fear less for web development jobs being lost to AI, to be honest. Look, we can create new frameworks faster than they can train new models. If we all agree to churn as much as possible the AIs will never be able to keep up.

Until the AI groks the principle of deviation and starts generating frameworks faster than we do.

Re: AI is stifling new tech adoption?

#384

Post by PKop »

cpursley wrote: post #381
lasagnagram wrote: post #353

Earlier quoted context omitted.

Have you considered learning by reading documentation and tutorials, instead of asking the lie generator? I mean, how do you think people learned things before 2023?

Have you considered just walking backwards uphill in the snow to your local library and checking out an (out of date) dead tree book, like - you know like us "real" programmers used to do it? The gatekeeping around using llms for coding is so goofy (and expected)...

He's giving advice of how to overcome what has been described as a limitation, literally not gatekeeping but opening the gate for the OP.

Instead of imbuing into it some grievance narrative, why shouldn't people take the advice, if LLM's do suffer from an anti-recency bias, to find another way to learn new information that LLM's don't have in their models?

If some source of information you were looking for online wasn't available but it did exist at your local library in a book, why wouldn't you go check out the book?

Re: AI is stifling new tech adoption?

#385

Post by Xen9 »

hinkley wrote: post #316
milesvp wrote: post #300

Earlier quoted context omitted.

Strong disagree here. I've been trying to learn Zig, and I'm thwarted enough by chatgpt giving me outdated information on Zig's unstable API that if I didn't have a strong incentive to learn it for it's cross compiler, I'd likely turn my efforts towards another language. This effect can greatly alter the adoption curve of a new tech, which can leave it dying on the vine. You're not wrong though, in that Stack Overflo…

Someone recently put it that it’s the first 10% of adoption that sets the future for a product. There are people online calling it the “tech adoption cycle” but this is a concept I encountered in a literal Business 101 class. 2.5% of the population are Innovators. 12.5 are early adopters. Then there’s 70% in the middle where most of your cash comes in, and by the time the laggards hit you’re optimizing for cost per u…

Products with volatile demand don't necessarily follow.

Re: AI is stifling new tech adoption?

#386

Post by cpursley »

PKop wrote: post #384
cpursley wrote: post #381

Earlier quoted context omitted.

Have you considered just walking backwards uphill in the snow to your local library and checking out an (out of date) dead tree book, like - you know like us "real" programmers used to do it? The gatekeeping around using llms for coding is so goofy (and expected)...

He's giving advice of how to overcome what has been described as a limitation, literally not gatekeeping but opening the gate for the OP. Instead of imbuing into it some grievance narrative, why shouldn't people take the advice, if LLM's do suffer from an anti-recency bias, to find another way to learn new information that LLM's don't have in their models? If some source of information you were looking for online was…

They don't suffer from recency bias when you dump the docs right into their context.

Re: AI is stifling new tech adoption?

#388

Post by turnsout »

mattmanser wrote: post #365
_puk wrote: post #317

Earlier quoted context omitted.

Having spent the past week deep in cursor, it's amazing for building out a basic web app.. but getting it to a point of productivity takes a while.. Command line install for latest svelte.. nope npx install is now deprecated, have to do it another way.. ok, let's go old school and read the docs. Great, it's up and running, but nope, Svelte has just hit V5 and the LLM isn't aware of the changes.. ok, do I drop back to…

The unfortunate truth is that the one true way these days is React, and if you're doing anything else you're in for a world of pain.

The actual truth is that you don’t need any of these frameworks at all. Vanilla JS & HTML has come a long way, and LLMs like Claude can build Vanilla JS with no trouble.

Re: AI is stifling new tech adoption?

#390

Post by c-cube »

Workaccount2 wrote: post #104
smashed wrote: post #96

Earlier quoted context omitted.

It does not really matter as even though the models get updated, the new data was produced with the help of the older models, it is feeding on itself. Just imagine how hard it would be to push a new programming language. No AI models would be able to generate code in that new language, or they would be extremely limited. This would make adoption much more difficult in a world where all developers use AI tooling exten…

In some sense I am hopeful that AI will be able to just write everything directly in binary. Everything written ideally, with no abstraction, fluff or bumpers for human brains. Computers don't talk in any high level programming language, they talk in binary. If anything we should probably be focusing LLMs on getting good at that. I can only imagine that the amount of energy wasted on CPU cycles from layers of bloated…

So you can't even debug or check the LLM's output for correctness? Good luck with that.

If anything, the best use for LLMs is to produce code in very strong languages like Lean, where correctness of the code can be established. Just trusting machine code output would be irresponsible.

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