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AI is stifling new tech adoption?

vale.rocks

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Re: AI is stifling new tech adoption?

#211

Post by afpx »

jayd16 wrote: post #209
afpx wrote: post #177

Earlier quoted context omitted.

There's no way that doctors in the US continue their training. I suffer from a chronic illness. I saw 5 different specialists over the past 2 years, and each one gave me different treatment. A couple even relied on information from the 70s and 80s. One even put me in the ER because he changed my treatment after I explicitly told him not to. Another example: Back in my 20s, I injured my back. I took my MRI results to…

If you don't respect the field in general, why do you think an AI amalgamation of that field to be better?

I respect the research and researchers - but medical researchers are far removed from medical practitioners.

Re: AI is stifling new tech adoption?

#212

Post by PaulHoule »

ragnese wrote: post #128
raincole wrote: post #95

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…

I'm also going to argue that Rust is a less AI-friendly language than, say, Go.

GC languages have many benefits that come from 'you don't have to think about memory allocation'. For instance you can just smack an arbitrary library into a Java program with maven and not think at all about whether the library or the application is responsible for freeing an object. The global problem of memory allocation is handled by a globally scoped garbage collector.

LLMs are great at superficial/local translation processes (e.g. medium-quality translation of 中文 to English doesn't require constraint solving any more than remembering which of the many indexing schemes is the right one for 'how do I look up this row/column/whatever in pandas') But fighting with the borrow checker (getting global invariants right) is entirely outside the realm of LLM competence.

Re: AI is stifling new tech adoption?

#213

Post by montjoy »

The lack of new training data also makes it bad at projects that are still maturing because it will suggest outdated code - or worse it will mix/match old and new syntax and generate something completely broken.

I worry that the lack of new examples for it to train on will self-reinforce running old syntax that has bad patterns.

If the "AI" could actually store its mistakes and corrections from interactive sessions long-term I think it would greatly alleviate this problem, but that opens up another whole set of problems.

Re: AI is stifling new tech adoption?

#214

Post by PaulHoule »

acomjean wrote: post #142
ragnese wrote: post #128

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. 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…

It will be harder for new languages and frameworks. The AI Its exasperates the bootstrapping problem. An interesting example is perl which is essentially static at this point (perl 6 was renamed and never got traction). I know from experience running pipelines that those old perl scripts almost always work, where if I come across an old python script (2x) I will have to go in and make some adjustments. Maybe a librar…

Might be easier than you think. If DeepSeek can train a model cheaply, so you can you. Probably more cheaply as the technology and models get better.

People used to be worried that AI performance was going to degenerate if models are trained on AI slop, but it's been found that synthetic data is the bee's knees for coding, reasoning and such, so it may well be that a new language comes with a large amount of synthetic examples which will not just be good for AI training but also for documentation, testing and all that.

Re: AI is stifling new tech adoption?

#215

Post by sesm »

CharlieDigital wrote: post #194
sesm wrote: post #188

Earlier quoted context omitted.

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 aroun…

I'll accept an analogy with a hybrid car. In this analogy, Preact would be a gas car with an additional electric engine bolted on as an afterthought.

Re: AI is stifling new tech adoption?

#216

Post by NiloCK »

I, too, wrote a shittier version of this a little while back: https://www.paritybits.me/stack-ossification/

Another observation since then: good documentation for newer tech stacks will not save the LLM's capabilities with that tech. I think the reason, in short, is that there's no shortcut for experience. Docs are book learning for tech stacks - millions (billions) of lines of source code among the training data are something else entirely.

Re: AI is stifling new tech adoption?

#217

Post by richardw »

I tried a new agent library with a model a few weeks ago. Just pasted the relevant api docs in and it worked fine.

However, while I’m proud of the outcomes, I’m not proud of the code. I’m not releasing anything open source until I feel it’s mine, which is another step. I’d be a bit embarrassed bringing another dev on.

“I’m Richard and I’m using AI to code” Support Group: “Hi Richard”

Re: AI is stifling new tech adoption?

#218

Post by michaelcampbell »

yapyap wrote: post #193
tolerance wrote: post #189

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.

> DEI (the e stands for equality btw),

According to whom? https://en.wikipedia.org/wiki/Diversity%2C_equity%2C_and_inc...

Re: AI is stifling new tech adoption?

#219

Post by whoknowsidont »

stevemadere wrote: post #155

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…

>What happened to a new JS front end library every week?

Yeah I don't think this ever happened.

Re: AI is stifling new tech adoption?

#220

Post by fennecbutt »

raincole wrote: post #95
killjoywashere wrote: post #30

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.

Tiktok does not favour new creators, its users do. And only because it's a new generation of consumer for the most part, who want to consume content from their chosen platform. The same thing will happen with alpha.
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