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AI is stifling new tech adoption?

vale.rocks

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Re: AI is stifling new tech adoption?

#141

Post by azemetre »

throwup238 wrote: post #127
snek_case wrote: post #105

Earlier quoted context omitted.

That's not wrong. There is a lot of hype-driven development in the programming world. People are always jumping on the latest web frameworks and such. A little bit more stability is not a bad thing. That being said, I think that people underestimate how fast LLM technology can evolve. At the moment, lots of training data is needed for LLMs to learn something. This may not always be the case. In 2 to 5 years, it may b…

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 artificial web3 hype, the only difference being that LLMs are use for extreme happy path scenarios.

Re: AI is stifling new tech adoption?

#142

Post by acomjean »

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…

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 library has changed too…

People like new shinny things though. Maybe the new languages will try to train the ai and release there own models, but that’s a huge lift.

Re: AI is stifling new tech adoption?

#143

Post by cbg0 »

spamizbad wrote: post #118
matsemann wrote: post #86

I actually asked this a while back, but got little response: https://news.ycombinator.com/item?id=40263033 > Ask HN: Will LLMs hurt adoption of new frameworks and technology? > If I ask some LLM/GPT a react question I get good responses. If I ask it about a framework released after the training data was obtained, it will either not know or hallucinate. Or if it's a lesser known framework the quality will be worse tha…

It seems self-evident it will, and it's largely self-reinforcing. Less documentation/examples of new tech -> New model doesn't have enough info on new tech to be useful -> Less uptake of new technology -> Less documentation/examples to build a corpus.... I do wonder if this problem could get solved by basically providing documentation explicitly written for LLMs to consume and produce more detailed "synthetic" docume…

Since the current chatbots have the ability to tap into Google Search, it's not unlikely they could gather their own up to date documentation on-the-fly. This would create a slew of new attack vectors where malicious actors will try to add backdoors into the documentation, which the LLM would reproduce.

A seasoned software engineer will easily pick it up, but the large amount of folks that are just copy pasting chatbot output to make their own apps will certainly miss it.

Re: AI is stifling new tech adoption?

#144

Post by ahartmetz »

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.

>5% faster javascript framework

Now you are bullshitting

Re: AI is stifling new tech adoption?

#145

Post by __MatrixMan__ »

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 are getting stickier, because even a marginal competence is enough to keep you there--since the AI will amplify that competence in well-trained domains by so much.

Emacs lisp is another one. I'd kind of like to build a map of these.

Re: AI is stifling new tech adoption?

#146

Post by resource_waste »

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…

>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.

This sounds like Moral Coating for what is otherwise protection of the Status Quo.

High paid doctors do not want to be replaced by AI. They will use every excuse to keep their high paying job.

Re: AI is stifling new tech adoption?

#147

Post by gessha »

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.

I guess it makes sense to differentiate technological areas where we want progress at "any possible pace" vs "wait and see pace". I don't know if pathologists or other medical professionals feel the same about their field.

On a related note, are there any techniques for facilitating tech adoption and bringing all users up to speed?

Re: AI is stifling new tech adoption?

#149

Post by resource_waste »

Schiendelman wrote: post #40
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…

The healthcare diagnosis one may be wrong. For existing known diagnoses, (or at least the sliver of diagnoses in this one study), AI can beat doctors - and doctors don't like listening when it challenges them, so it will disrupt them badly as people learn they can provide data from tests directly to AI agents. Sure, this doesn't replace new diagnoses, but the vaaaast majority of failures to diagnose are for existing…

It has been interesting to see the excuses from doctors, why we need error prone humans instead of higher quality robots.

>Empathy (lol... from doctors?)

>New undetectable cases (lol... AI doesnt have to wait 1 year for an optional continuing education class. I had doctors a few years ago recommending a dangerous expensive surgery over a safer cheaper laser procedure)

>corruptible (lmaooo)

We humans are empathetic to the thought our 'friendly' doctor might be unemployed. However, we shouldn't let that cause negative health outcomes because we were being 'nice'.

Re: AI is stifling new tech adoption?

#150

Post by diggan »

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…

> 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.

Compared to what though? Compared to Limeware/Kaazaa back in the day, or compared to buying records in a store?

Personally, I find it easier than ever to find brand new music, mostly because Spotify still surfaces new things with ease for me (and always have been, since I started using it in 2008), and platforms like Bandcamp makes it trivial to find new artists that basically started uploading music yesterday.

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