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AI is stifling new tech adoption?

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Re: AI is stifling new tech adoption?

#131

Post by tcoff91 »

CharlieDigital wrote: post #16
chipgap98 wrote: post #11

Earlier quoted context omitted.

Does that really matter to most companies/developers? I’d much rather have a good enough solution with a large ecosystem built around it. It also takes a lot of investment for companies to change their tech stack

> 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 use next.js with react server components you can get enough performance out of react for e commerce.

Also the react compiler is improving client side performance as well by automatically memo-izing everything to reduce rerenders

Re: AI is stifling new tech adoption?

#132

Post by hartator »

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.

a 5% _slower_ javascript framework

Re: AI is stifling new tech adoption?

#133

Post by atypeoferror »

Workaccount2 wrote: post #104
smashed wrote: post #96

Earlier quoted context omitted.

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 exten…

In some sense I am hopeful that AI will be able to just write everything directly in binary. Everything written ideally, with no abstraction, fluff or bumpers for human brains. Computers don't talk in any high level programming language, they talk in binary. If anything we should probably be focusing LLMs on getting good at that. I can only imagine that the amount of energy wasted on CPU cycles from layers of bloated…

Not sure that’s always a good thing - see the occasionally erratic behavior of Tesla’s autopilot. It directly speaks the language of the systems it connects with, and also occasionally steers into dividers, killing people - and nobody knows why. We need to be able to verify correctness of what the models generate.

Re: AI is stifling new tech adoption?

#134

Post by CharlieDigital »

tcoff91 wrote: post #131
CharlieDigital wrote: post #16

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 use next.js with react server components you can get enough performance out of react for e commerce. Also the react compiler is improving client side performance as well by automatically memo-izing everything to reduce rerenders

The auto-memoization is:

1) Trading memory pressure for performance

2) An admission of a broken model because it's taken them 2+ (almost 3?) years to build as a recognition that developers can't get it right

The reason other frameworks don't need this is because they use signals connected to callbacks instead of the reactive callback pointing to the component (as React does). Thus Preact, Solid, Svelte, Vue, etc. do not have this issue and you rarely (if ever?) have to manually memoize.

The React team foot-gunned themselves and every React dev out there.

I have some examples that walk through this concept using JSFiddle so you can understand exactly why this design choice from React created this problem in the first place: https://chrlschn.dev/blog/2025/01/the-inverted-reactivity-mo...

Re: AI is stifling new tech adoption?

#135

Post by spenvo »

Like several other commenters in this thread, I also wrote[0] something recently on a related topic: Google's AI Overviews and ChatGPT harm the discovery of long tail information - from a product builder's perspective. Basically, users are having a tougher time finding accurate info about your product (even if the correct answer to their query is in Google's own search results). And I also found the basic tier of ChatGPT hallucinated my app's purpose in a way that was borderline slanderous. AI can make it tougher (at scale) for creators trying to break through.

[0] - https://keydiscussions.com/2025/02/05/when-google-ai-overvie...

Re: AI is stifling new tech adoption?

#136

Post by gordonhart »

spiderfarmer wrote: post #18

>With Claude 3.5 Sonnet, which is generally my AI offering of choice given its superior coding ability, my “What personal preferences should Claude consider in responses?” profile setting includes the line “When writing code, use vanilla HTML/CSS/JS unless otherwise noted by me”. Despite this, Claude will frequently opt to generate new code with React, and in some occurrences even rewrite my existing code into React…

Claude is particularly bad about this, almost makes it unusable for my frontend use cases. I specify the exact tech stack in my prompt and it responds with a solution using whichever packages are available in its environment (Tailwind, shadcn/ui, etc.).

My request to model providers: the strength of your offering is its generality. Please let it be general-purpose and resist adding features (alignment, system prompts, custom stuff like Claude artifacts) that limit this.

Re: AI is stifling new tech adoption?

#138

Post by OuterVale »

dankebitte wrote: post #119
OuterVale wrote: post #109

Earlier quoted context omitted.

Author here. May I request a source for that? Platform docs state: > The knowledge cutoff for GPT-4o models is October, 2023. https://platform.openai.com/docs/models#gpt-4o

> Updates to GPT-4o in ChatGPT (January 29, 2025) > By extending its training data cutoff from November 2023 to June 2024 […] https://help.openai.com/en/articles/9624314-model-release-no...

Thank you. I'll make a correction next I can.

I do wonder why this information is lacking from the platform docs though. They specifically mention a model that is the "GPT-4o used in ChatGPT".

Re: AI is stifling new tech adoption?

#139

Post by uludag »

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.

Maybe I'm overlooking something but just looking at the past decade or so, a lot of new technologies and practices have been adopted. I assume most people would call these changes progress. So with this in mind, if in 10 years, we're by and large using the same technologies with AI injected in it, I feel that we would be missing something, as this article points out.

It's kind of sad to think that there may never be new technologies like Rust that break out and gain a critical traction. I'm hoping I'm wrong.

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