I have definitely noticed that ChatGPT is atrocious at writing Polars code (which was written recently and has a changing API) while being good at Pandas. I figure this will mostly resolve when the standard reasoning models incorporate web search through API documentation + trial and error code compilation into their chain of thought.
AI is stifling new tech adoption?
101–110 of 442 posts
Re: AI is stifling new tech adoption?
#102> OpenAI’s latest models have cutoffs of late 2023. The first paragraph is factually incorrect; the cutoff is June 2024 for 4o. Awww, no more new JavaScript frameworks and waiting only for established technologies to cut through the noise. I don't see that as a bad thing. Technologies need to mature, and maintaining API backward compatibility is another advantage.
I can't wait to see how these AI models maintain backward compatibility
Re: AI is stifling new tech adoption?
#103Pathologists 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…
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Re: AI is stifling new tech adoption?
#104> OpenAI’s latest models have cutoffs of late 2023. The first paragraph is factually incorrect; the cutoff is June 2024 for 4o. Awww, no more new JavaScript frameworks and waiting only for established technologies to cut through the noise. I don't see that as a bad thing. Technologies need to mature, and maintaining API backward compatibility is another advantage.
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 programming languages makes stuff like bitcoin mining look like a rounding error.
Re: AI is stifling new tech adoption?
#105Pathologists 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.
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 be possible to train an LLM to be helpful with a new programming language with much less data than is needed today. No reason to assume that the current situation is what things will be like forever. It's not like this technology isn't evolving incredibly fast.
Re: AI is stifling new tech adoption?
#106As 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.
But equally impressive that the Javascript community has actually managed to continue to use a single framework for more than five minutes without jumping to the next.
React is almost 12 years old and has dominated frontend development for almost a decade. I'd bet most JS backend projects still use Express as the webserver, and it's even older than React.
Can we please retire this meme? It's stale and adds nothing to the conversation.
Re: AI is stifling new tech adoption?
#107Earlier quoted context omitted.
It's only a problem if hospitals replace doctors with AI. If they employ AI as well then outcomes will improve. Using AI to find the ones AI can identify means doctors have more time to focus on the ones that AI can't find. Of course, that's not what's going to happen. :/
> Using AI to find the ones AI can identify means doctors have more time to focus on the ones that AI can't find. That's not how that would work in the real world. In a lot of places a doctor has to put their signature or stamp on a medical document, making them liable for what is on that paper. Just because the AI can do it, that doesn't mean the doctor won't have to double check it, which negates the time saved. I…
Interesting. Do you see any versions of the future where use of AI could actually make the physician take more time?
Re: AI is stifling new tech adoption?
#108As 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…
> React has become the Java of late 90’s to mid 2000’s.
Not comparable.
Java may not have had big releases during this time but there were patches and support. Java 8 had numerous versions (>400). You can get paid support from Sun/Oracle. In terms of frameworks Spring was constantly upgraded and supported.
React has none of these. Older React versions rarely get upgraded and just look at the amount of minor/patch releases React gets these days. It's almost as though Meta no longer cares. Earlier (<16) React was constantly updated. Nowadays it's just to peddle Vercel.
Re: AI is stifling new tech adoption?
#109> OpenAI’s latest models have cutoffs of late 2023. The first paragraph is factually incorrect; the cutoff is June 2024 for 4o. Awww, no more new JavaScript frameworks and waiting only for established technologies to cut through the noise. I don't see that as a bad thing. Technologies need to mature, and maintaining API backward compatibility is another advantage.
Author here. May I request a source for that?
Platform docs state:
> The knowledge cutoff for GPT-4o models is October, 2023.
Re: AI is stifling new tech adoption?
#110As 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.
I think react hits a really good sweet spot in the trade off space. Sure it’s not the best thing that can exist, but it really does solve a lot of problems in a way that isn’t overly restrictive.
My personal opinion is that a lot of the hate directed at react is due to experiences with code bases that aren’t good react code.