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AI is stifling new tech adoption?

vale.rocks

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Re: AI is stifling new tech adoption?

#261

Post by hobs »

benve wrote: post #196

I think this is true because I myself said to myself: "it is useless for me to create a library or abstraction for the developers of my project, much better to use everything verbose using the most popular libraries on the web". Until yesterday having an abstraction (or a better library/framework) could be very convenient to save time in writing a lot of code. Today if the code is mostly generated there is no need to…

This is completely wrong and assumes that an LLM is just much better at its job than it is - an LLM doesn't do better with a chaotic code base, nobody does - a deeply nonsensical system that sort of works is by far the hardest to reason about if you want to fix or change anything, especially for a thing that has subhuman intelligence.

Re: AI is stifling new tech adoption?

#262

Post by saulpw »

ben_w wrote: post #197
hartator wrote: post #132

Earlier quoted context omitted.

a 5% _slower_ javascript framework

Surely 50% slower, compounding each year? Jokes aside, I find it curious what does and doesn't gain traction in tech. The slowness of the IPv6 was already an embarrassment when I learned about it in university… 21 years ago, and therefore before the people currently learning about it in university had been conceived. What actually took hold? A growing pantheon of software architecture styles and patterns, and enough…

The slowness to adopt IPv6 is because it's not a great design.

Going from 32-bits to 128-bits is complete overengineering. We will never need 128-bits of network address space as long as we are confined to this solar system, and the resulting addresses are extremely cumbersome to use. (Can you tell someone your IPv6 address over the phone? Can you see it on one monitor and type it into a different computer? Can you remember it for the 10 seconds it takes to walk over to the other terminal?)

48-bit addresses would have been sufficient, and at worst they could have gone with 64-bit addresses. This is already too cumbersome (9-12 base36 digits), but maybe with area-code like segmentation it could be rotated into manageable. 128-bits is just not workable.

Re: AI is stifling new tech adoption?

#263

Post by hobs »

__MatrixMan__ wrote: post #145

Can confirm, I recently gave up on learning anything new re: data visualization and have just been using matplotlib instead. Training data for it has been piling up since 2008. The AI's are so good at it that you hardly ever have to look at the code, just ask for changes to the graph and iterate. Honestly it's been kind of fun, but I do feel like the door is closing on certain categories of new thing. Local maxima ar…

Even trivial requirements they fail at when my boss says something and I have no idea if MPL supports it - visualization and visual mediums with complex interconnected bits are actually one of the harder things to do with a text/programmer basis... we literally fail to write tests to validate visual behavior all the time without tools like selenium.

Re: AI is stifling new tech adoption?

#264

Post by jgalt212 »

falcor84 wrote: post #43
jgalt212 wrote: post #9

Herein lies the key for IP protection. Never use cloud hosted coding tools as the world will soon be able to copy your homework at zero cost.

I for one love it that we can copy each other's homework. The open source mindset is what made me fall in love with this industry, and I love the fact that sharing code got easier. If you really want to continue reinventing wheels, go ahead.

Yes, open is overall a great thing. But what if I want my work not to be open source, and the LLMs make it so without my consent. As we've seen, this and related matters of fair use, are working their way through the courts.

Re: AI is stifling new tech adoption?

#266

Post by baq »

hobs wrote: post #261
benve wrote: post #196

I think this is true because I myself said to myself: "it is useless for me to create a library or abstraction for the developers of my project, much better to use everything verbose using the most popular libraries on the web". Until yesterday having an abstraction (or a better library/framework) could be very convenient to save time in writing a lot of code. Today if the code is mostly generated there is no need to…

This is completely wrong and assumes that an LLM is just much better at its job than it is - an LLM doesn't do better with a chaotic code base, nobody does - a deeply nonsensical system that sort of works is by far the hardest to reason about if you want to fix or change anything, especially for a thing that has subhuman intelligence.

LLMs work best matching patterns. If 1k loc matches patterns and the 10 loc doesn’t, it’s a problem.

The only thing the OP is missing which combines the best of both worlds is to always put source of and/or docs for his abstractions into the context window of the LLM.

Re: AI is stifling new tech adoption?

#267

Post by TheRealPomax »

normie3000 wrote: post #250
MattGaiser wrote: post #245

Earlier quoted context omitted.

ChatGPT and Gemini default to create-react-app, which has been considered poor practice for 2 years at least.

What's considered better practice? NextJS?!

Literally yes? https://react.dev/learn/creating-a-react-app lists several options because different people will click with different solutions. Or find one of the many other ones yourself of course, they're not hard to find, but cutting your teeth on an official recommendation before moving on to greener pastures is always a good idea.

The first one is always to learn from and then throw away.

Re: AI is stifling new tech adoption?

#268

Post by TheTaytay »

crazygringo wrote: post #252

No, AI isn't. Any new tech, or version upgrade, or whatever, takes time for people to become familiar with it. You might as well say "Stack Overflow is stifling new tech adoption" because brand-new stuff doesn't have many Q's and A's yet. But that would be a silly thing to say. I'm not going to adopt a brand-new database regardless of LLM training data cutoff, just because enough people haven't had enough experience…

I feel myself taking AI’s base knowledge of a tech stack into account when I work. Otherwise it feels like I am swimming upstream. I can’t be the only one, and this article resonated for me.

Re: AI is stifling new tech adoption?

#269

Post by spenvo »

jonas21 wrote: post #243
spenvo wrote: post #158

Earlier quoted context omitted.

So ChatGPT seemingly guessed its purpose just from its name. Its name is CurrentKey Stats, and it inaccurately described it as an app that kept stats on the current keyboard keys you were pressing, so essentially a key logger, which is again completely wrong. I was actually somewhat hesitant to make this comment out of the fear that the next AI models will train on it and reinforce the false idea that that's what my…

You may be happy to learn that I just asked ChatGPT (the free tier that you can access without signing in) "What does the CurrentKey Stats app do?" and got this back: ---- CurrentKey Stats is a macOS application designed to enhance your productivity by offering detailed insights into your app usage and providing advanced management of your Mac's virtual desktops, known as "Spaces." Key Features: Time Tracking: Unlike…

That's good. When i wrote the article, I was able to get a similar response when i used chatgpt "search", but not with the basic tier default prompt with the prompt "i own a Mac, would currentkey stats be good for me?". Were you using the default chatgpt prompt here or chatgpt "search" or a better model?
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