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AI is stifling new tech adoption?

vale.rocks

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Re: AI is stifling new tech adoption?

#41

Post by causal »

jwblackwell wrote: post #28

Larger context windows are helping solve this, though. I use ALpineJS which is not as well known as React etc, but I just added a bunch of examples and instructions to the new cursor project rules, and it's now close to perfect. Gemini models have up to 2M context windows, meaning you can probably fit your whole codebase and a ton of examples in a single request. Furthermore, the agenetic way Cursor is now behaving,…

I also suspect reasoning models will start contributing genuine innovations to public repositories in the near future.

Re: AI is stifling new tech adoption?

#42

Post by marcosdumay »

spacephysics wrote: post #22
CharlieDigital wrote: post #8

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.

React has become the Java of late 90’s to mid 2000’s. Loads of libraries, documentation, and developers which creates a flywheel that will grow those aspects over the next X years. Until something comes up that is magnitude better in performance/maintainability, and even then it’ll take years to dethrone the status quo. Good questions in these comments essentially asking, does the level of training data on these mode…

Most of the alternatives on the GP's comment have more than one order of magnitude better performance.

Maintainability doesn't even enter the question. React's way is to rewrite. All of the alternatives on the GP's comment are possible to maintain.

Re: AI is stifling new tech adoption?

#43

Post by falcor84 »

jgalt212 wrote: post #9

Herein lies the key for IP protection. Never use cloud hosted coding tools as the world will soon be able to copy your homework at zero cost.

I for one love it that we can copy each other's homework. The open source mindset is what made me fall in love with this industry, and I love the fact that sharing code got easier. If you really want to continue reinventing wheels, go ahead.

Re: AI is stifling new tech adoption?

#44

Post by killjoywashere »

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…

I'm familiar with the linked study, which presents legitimately challenging analytic problems. There's a difference between challenging analytic problems and new analytic problems.

A new platform poses new analytic problems. A new edition of the WHO's classification of skin tumors (1), for example, presents new analytic problems.

(1) https://tumourclassification.iarc.who.int/chapters/64

Re: AI is stifling new tech adoption?

#45

Post by anarticle »

Sadly, as a person who used write AVX in C for real time imaging systems: don't care shipped.

I love dingling around with Cursor/Claude/qwen to get a 300 line prototype going in about 3-5 minutes with a framework I don't know. It's an amazing time to be small, I would hate to be working at a megacorp where you have to wait two months to get approval to use only GitHub copilot (terrible), in a time of so many interesting tools and more powerful models every month.

For new people, you still have to put the work in and learn if you want to transcend. That's always been there in this industry and I say that as a 20y vet, C, perl, java, rails, python, R, all the bash bits, every part matters just keep at it.

I feel like a lot of this is the js frontend committee running headlong into their first sea change in the industry.

Re: AI is stifling new tech adoption?

#46

Post by kaonwarb »

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 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.

Re: AI is stifling new tech adoption?

#47

Post by lab14 »

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…

I think OP was referring to the case where new illnesses that are not part of the training set are never going to be diagnosed by AI.

Re: AI is stifling new tech adoption?

#49

Post by Vegenoid »

kaonwarb wrote: post #46
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 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.

I think it depends on what you mean by “easier”. Dispersing knowledge through people is more intuitive, and tends to happen organically.

Re: AI is stifling new tech adoption?

#50

Post by stuffoverflow »

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…

Since the system prompt tied to the artifacts feature seems to be the reason for it having a preference for react, seems like the solution would be to use the API instead. Plenty of front ends available nowadays that let you use your own API key. I've been using typingmind since I paid for it over a year ago but I'd be interested to know if some good open source alternatives have popped up more recently.
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