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AI is stifling new tech adoption?

vale.rocks

221–230 of 442 posts

Re: AI is stifling new tech adoption?

#221
post #177

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.

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…

Continuous improvement is the norm in cancer treatment, not in other areas where diseases are ill-defined and have a huge psychogenic component: back pain is the index case for that, so is TMJ dysfunction. In either case you might go from disabled to 'I have a bad day once a month' with a 20% change in habits and 80% change in attitude.

My dad, who worked in construction, got disabling back pain just in time for the Volcker-Freedman recession [1] His doc wanted to give him surgery which had the risk of being even more disabling, he said he'd go to a chiropractor, his doc said "if you don't do that then don't see me". I remember him taking me along for his chiropractor visits and getting a waterbed (bad idea.) He was on workman's comp at the time but got better around the time the economy got better and work was available again. Not to say he was consciously malingering, but work-associated pain has a lot to do with how you feel about your work.

[1] https://en.wikipedia.org/wiki/Early_1980s_recession

Re: AI is stifling new tech adoption?

#222

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…

> The entire music community has been complaining about how old music gets more recommendations on streaming platforms, necessarily making it harder for new music to break out.

Why does music continually entrench the older stuff (will we ever stop playing classic rock bands) whereas video streaming platforms like Netflix and YouTube try to hide/get rid of the old stuff?

Re: AI is stifling new tech adoption?

#223

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…

The implication here that AI itself does not come with its own churn and needless wheel spinning feels a little out of touch with our current reality.

Re: AI is stifling new tech adoption?

#224
Looks like I might be the minority, but I disagree with this prediction. Better models will also be better at abstracting and we have seen several examples (e.g. the paper LIMO: Less is More for Reasoning) that with a small amount of training data, models can outperform larger models.

Re: AI is stifling new tech adoption?

#225

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.

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.

Netflix and YouTube push new content/favor new creators or directors.

They don’t push the classics like music platforms do, and I don’t think it’s just streamers’ tastes.

Re: AI is stifling new tech adoption?

#226

Earlier quoted context omitted.

> Does that really matter to most companies/developers? If you're asking about performance and memory, then yes, it does. This is especially true in e-commerce where many studies have shown that overall page performance has a correlation to conversion. Add to that the fact that a lot of e-commerce has moved to mobile web, there's a strong case for picking the best performing technologies versus developer preference -…

> If you're asking about performance and memory, then yes, it does. Most places just don't care. I've worked 15 years as a contractor and only in once place have the business cared about optimisation. As long as it wasn't unbearable than it was "good enough". > This is especially true in e-commerce where many studies have shown that overall page performance has a correlation to conversion. Add to that the fact that a…

Have you ever worked for a place that cared about meeting CWV? Poor JS performance will definitely hurt rankings.

Re: AI is stifling new tech adoption?

#227
post #156

The central issue is high cost of training the models, it seems: > "Once it has finally released, it usually remains stagnant in terms of having its knowledge updated. This creates an AI knowledge gap. A period between the present and AI’s training cutoff... The cutoff means that models are strictly limited in knowledge up to a certain point. For instance, Anthropic’s latest models have a cutoff of April 2024, and Op…

> Hasn't DeepSeek's novel training methodology changed all that? If the energy and financial cost for training a model really has drastically dropped, then frequent retraining including new data should become the norm. Even if training gets way cheaper or even if it stays as expensive but more money gets thrown at it, you'll still run into the issue of having no/less data to train on?

True. One effective test for AGI might be the ability to first create a new language, then also write performant code in that language.

Re: AI is stifling new tech adoption?

#228
post #222

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…

> The entire music community has been complaining about how old music gets more recommendations on streaming platforms, necessarily making it harder for new music to break out. Why does music continually entrench the older stuff (will we ever stop playing classic rock bands) whereas video streaming platforms like Netflix and YouTube try to hide/get rid of the old stuff?

I wonder if shows like The Office, Parks and Rec, Seinfeld, etc end up becoming the "classic rock" of streaming.

Re: AI is stifling new tech adoption?

#229

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.

>5% faster javascript framework Now you are bullshitting

You are correct he meant 1% faster

Re: AI is stifling new tech adoption?

#230
post #210

It's pretty interesting and mildly shocking that everyone is just making the same 'who needs a new JS library' joke. What about closed source tooling? How do you expect an AI to ever help you with something it doesn't have a license to know about? Not everything in the world can be anonymously scraped into the yearly revision. If AI is going to stay we'll have to solve the problem of knowledge segmentation. If we sol…

>What about closed source tooling? How do you expect an AI to ever help you with something it doesn't have a license to know about? Not everything in the world can be anonymously scraped into the yearly revision.

This is not a novel problem. Proprietary toolchains already suffer from decreased resources on public forums like Stack Overflow; AI did not create this knowledge segmentation, it is scraping this public information after all.

>It's pretty interesting and mildly shocking that everyone is just making the same 'who needs a new JS library' joke.

Surely the proprietary toolchain is itself the 'new JS library'?

Most developers I know don't enjoy working with esoteric commercial solutions that suffer from poor documentation, when there exists an open-source solution that is widely understood and freely documented.

I do not see why AI code generation further incentivizing the use of the open-source solution is a problem.

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