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AI is stifling new tech adoption?

vale.rocks

191–200 of 442 posts

Re: AI is stifling new tech adoption?

#191

Earlier quoted context omitted.

I know nothing about pathology, but in terms of software, I think slower adoption to new tech is what we need, especially when the "new tech" is just a 5% faster javascript framework. By the way, for content creation, the only platfrom that really favors new creators is TikTok. Whether it leads to higher content quality is left for one's judgement.

> I know nothing about pathology, but in terms of software, I think slower adoption to new tech is what we need, especially when the "new tech" is just a 5% faster javascript framework. I hope that's not the definition people are using when discussing adoption of "new tech". When it comes to the topic of AI and "new tech adoption", I think about something like the Rust programming language. I apologize if it chafes t…

All you're talking about there in the end would be another compilation step.

I'm highly bearish on the concept of anything like that ever being possible (and near perfectly reliable) with llms, but if it were then it'd make sense as just another processing phase in compilation.

Re: AI is stifling new tech adoption?

#193

So what. …if society continues to delegate more of their work to AI then we are going to fall back into the grips that inform us that some people are better at things than other people are and some are worse at things than other people are and this is what lies beneath the bridge of relying or not relying on AI to leverage your capacity to think and act on what you feel. I think that People who will be willing to put…

I think it’s very easy to say people dislike the notion you said cause it goes against DEI (the e stands for equality btw), like it’s such an easy scapegoat.

People just don’t wanna put the work in, or aren’t able to put the work in cause they are busy surviving day to day, y’know, putting food on the table. Cause that is not a given for everyone.

Re: AI is stifling new tech adoption?

#194
post #188

Earlier quoted context omitted.

> ...a different underlying model is an extraordinary claim that requires extraordinary evidence You are looking at the syntax and not the reactivity model (how it determines what functions to call when a change happens). The post doesn't need to mention Preact because every other framework is signals-based except for React. Vue is simply the stand-in for "signals-based reactivity". Vue has different syntax from Prea…

Preact is not signals-based, it uses the React model with state and props as the basic model, but also provides Signals as a parallel model.

I guess that's like arguing a Prius Prime isn't electric because even though it has a battery and can drive all electric, it also has a gas engine. :shrug:

But very clearly, Preact has the option of the exact same reactivity primitive and design as Vue, Solid, Qwik, and Svelte

https://preactjs.com/guide/v10/signals/

    > In Preact, when a signal is passed down through a tree as props or context, we're only passing around references to the signal. The signal can be updated without re-rendering any components, since components see the signal and not its value. This lets us skip all of the expensive rendering work and jump immediately to any components in the tree that actually access the signal's .value property.

Re: AI is stifling new tech adoption?

#195
Not a problem. I'm sure that being able to work well with new information is the next goal most researchers are working towards, so the entire post feels like a boomer complaining "computers are bad because they're big and bulky" thirty years ago, not being able to imagine the smartphone revolution.

Re: AI is stifling new tech adoption?

#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 create an abstraction. AI understands 1000 lines of code in python pandas much better than 10 lines of code using my library (which rationalises the use of pandas).

The result will not only be a disincentive to use new technologies, but a disincentive to build products with an efficient architecture in terms of lines of code, and in particular a disincentive to abstraction.

Maybe some product will become a hell with millions of lines of code that no one knows how to evolve and manage.

Re: AI is stifling new tech adoption?

#197

Earlier quoted context omitted.

I know nothing about pathology, but in terms of software, I think slower adoption to new tech is what we need, especially when the "new tech" is just a 5% faster javascript framework. By the way, for content creation, the only platfrom that really favors new creators is TikTok. Whether it leads to higher content quality is left for one's judgement.

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 layers of abstraction to make jokes about Java class names from 2011 (and earlier) seem tame in comparison: https://news.ycombinator.com/item?id=3215736

The way all of us seem to approach code, the certainty of what the best way to write it looks like, the degree to which a lone developer can still build fantastic products and keep up with an entire team… we're less like engineers, more like poets arguing over a preferred form and structure of the words, of which metaphors and simile work best — and all the while, the audience is asking us to rhyme "orange" or "purple"

Re: AI is stifling new tech adoption?

#198

This is truly terrible. What happened to a new JS front end library every week? If this keeps up, we won't get to completely throw away all of our old code and retool every two years (the way we've been operating for the last 20 years) How will we ever spend 85% of our time spinning up on new js front end libraries? And don't even get me started on the back end. If AI had been around in 2010, we probably still have s…

Some real revisionist history as Rails cribbed most of those gems from Python. Now Python just rebranded for web and its doing everything Rails does and more.

Re: AI is stifling new tech adoption?

#199
post #67

As the saying goes: while (React.isPopular) { React.isPopular = true } It's actually quite sad because there are objectively better models both for performance and memory including Preact, Svelte, Vue, and of course vanilla.

and of course vanilla That depends on who is writing it and what the app is. Most frontend code is written by people who don't have as much time to focus on performance and optimization as core framework developers, so their once their apps reach a critical mass of 'actually big enough to benefit from a framework' the app is worse than it would have been if it was written with a framework in the first place. The prob…

Ostensibly, an unbiased, well-trained model would solve this because it would/could write fast, performant vanilla. As a product owner, you probably care more about the performance of the product over the specific technical implementation details.

I take that to be the point of the article: the bias towards React and of course the training data being stale means that generated code will always have a bit of staleness and as we provide less context for the AI (e.g. StackOverflow), the bias towards staleness will amplify given the large body of stale information it has ingested and amalgamated.

Re: AI is stifling new tech adoption?

#200

Earlier quoted context omitted.

After watching the entire world’s reaction to AI, at this point my conclusion is that hype driven development is human nature, and we just need to come to terms with that (but you will have to drag me kicking and screaming).

Maybe if you think artificially inflating the hype through massive ad campaigns, marketing campaigns, and shoe-horning AI into every product then yeah the world has a reaction to AI. It's mostly been meh, things like Apple Intelligence and Office Copilot have largely fallen flat. If the hype was real none of these AI initiatives would be struggling to make money, but they are. I don't really see it different than the…

The problem is that Apple intelligence is currently kinda useless. They rushed it into production in a misguided effort to "stay relevant". It may take a few years but we should eventually get useful personal assistant type AIs.

I would say LLMs are very useful for specific scenarios. They're also getting better. Just takes time to iron out the kinks.

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