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AI is stifling new tech adoption?

vale.rocks

91–100 of 442 posts

Re: AI is stifling new tech adoption?

#91
AI may be exaggerating this issue, but it's always existed.

New tech has an inherent disadvantage vs legacy tech, because there's more built-up knowledge. If you choose React, you have better online resources (official docs, tutorials, answers to common pitfalls), more trust (it won't ship bugs or be abandoned), great third-party helper libraries, built-in IDE integration, and a large pool of employees with experience. If you choose some niche frontend framework, you have none of those.

Also, popular frameworks usually have better code, because they have years of bug-fixes from being tested on many production servers, and the API has been tailored from real-world experience.

In fact, I think the impact of AI generating better outputs for React is far less than that of the above. AI still works on novel programming languages and libraries, just at worse quality, whereas IDE integrations, helper libraries, online resources, etc. are useless (unless the novel language/library bridges to the popular one). And many people today still write code with zero AI, but nobody writes code without the internet.

Re: AI is stifling new tech adoption?

#93

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.

Doesn't Preact use the same model but prioritise bundle size over performance?

Re: AI is stifling new tech adoption?

#94
post #56

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.

But equally impressive that the Javascript community has actually managed to continue to use a single framework for more than five minutes without jumping to the next.

had to have hooks though. And vanilla-OO had to go in favor of trapping state in closures, which is cooler because it has functions and not methods.

Re: AI is stifling new tech adoption?

#95

Pathologists as a specialty has been grousing about this for several years, at least since 2021 when the College of American Pathologists established the AI Committee. As a trivial example: any trained model deployed will necessarily be behind any new classification of tumors. This makes it harder to push the science and clinical diagnosis of cancer forward. The entire music community has been complaining about how o…

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.

Re: AI is stifling new tech adoption?

#96

> OpenAI’s latest models have cutoffs of late 2023. The first paragraph is factually incorrect; the cutoff is June 2024 for 4o. Awww, no more new JavaScript frameworks and waiting only for established technologies to cut through the noise. I don't see that as a bad thing. Technologies need to mature, and maintaining API backward compatibility is another advantage.

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 extensively.

I believe this trend could create new opportunities also: as everyone uses AI tools to generate statistically average quality code, only those not using AI tools will be able to create true innovation.

Re: AI is stifling new tech adoption?

#98

>Consider a developer working with a cutting-edge JavaScript framework released just months ago. When they turn to AI coding assistants for help, they find these tools unable to provide meaningful guidance because their training data predates the framework’s release. [... This] incentivises them to use something [older]. That sounds great to me, actually. A world where e.g. Django and React are considered as obvious…

What if it happened just before React, and you therefore got stuck with angular? Should we now be stuck with React forever just because it's okay-ish, never allowing future better framework to emerge?

>What if it happened just before React, and you therefore got stuck with angular?

Still a good thing. :) The massive bump in developer market liquidity is far more valuable in my eyes than any inherent DevEx advantages. You'd still have much cheaper high quality web apps, although, if React truly has a technical advantage over Angular (doubtful), maybe not as much cheaper, but still much cheaper than pre-LLM.

If you truly want to figure out where I think the equation sign flips, it's probably like, pre-Smalltalk somewhere.

Re: AI is stifling new tech adoption?

#99
post #85

Earlier quoted context omitted.

Not if they're trained to work through the problem each time they encounter it and stay up with their clinical training. The day the new classification drops many have already heard about it. You also assume that all the models in use will in fact be retrained. Generally, this position flies in the face of lived experience. AI is in fact stifling adoption of new things across many industries.

Where I live, specialists can't even speak English, so I doubt very much that they are up to date on anything. And I live in a first-world country.

On a first glance this may look like bad comment but there is sound reasoning, I see it with friends who are top notch doctors and surgeons in french part of Switzerland.

Many articles and conferences are in english, often dont get translated (well), and one friend who is urology surgeon specifically mentioned this as an issue in his (former) department in Switzerland's biggest hospital (HUG in Geneva). They simply lag behind bleeding edge a bit.

Can't comment on other languages/cultures, but french speaking folks and english often dont pair well together.

Re: AI is stifling new tech adoption?

#100

Pathologists as a specialty has been grousing about this for several years, at least since 2021 when the College of American Pathologists established the AI Committee. As a trivial example: any trained model deployed will necessarily be behind any new classification of tumors. This makes it harder to push the science and clinical diagnosis of cancer forward. The entire music community has been complaining about how o…

I doubt it is easier to retrain a large, dispersed group of humans on a new classification of tumors than it is to retrain a model on the same.

It's not, in my experience doctors are woefully behind the curve on the cutting edge, and even a bit hostile towards it.
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