AsthmaBeyondBorders

AsthmaBeyondBorders t1_isq89j2 wrote

See, that's exactly why I am not speaking per company, I am speaking per country. Most companies won't have the need to develop more projects just because they can. Countries that are leading tech development can absorb these people into other companies and new startups for a while. But there is a limit to expansion so that's why even leading countries will eventually not be able to expand that much.

This is just slack resources for any end anywhere. Just like in The Theory of the Growth of The Firm (Penrose). Slack resources is a necessary condition to expand but not sufficient. Countries that lead tech usually mention a need for more skilled workers, and that is reflected by market logic on the high wages and social status of tech workers (reflected in other countries because skilled workers can leave for other countries but mostly because multinationals from tech-heavy countries set the expected wages also when they arrive in other countries). Taking this to literally mean there is room for expansion constrained by availability of workers seems to not be a bad guess.

So yes, not at the company level but at the country level in some countries there is room for expansion. And yes this will result in lower wages as room for expansion diminishes.

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AsthmaBeyondBorders t1_isq4hsj wrote

Depends. Countries which are leading tech development will be able to just increase demand for developers and produce more? At least initially. Countries which are not too tech based and their developers are mostly doing the same old same old (web development and, idk, basic business systems like for retail stores) will probably just have fewer people doing the job that would take more people otherwise.

Eventually even tech-heavy countries will only need developers doing state of the art research and development, like working on AI itself. And we know not everyone who is able to code is capable of doing that kind of job.

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AsthmaBeyondBorders t1_irsnllg wrote

Just from the top of my mind videogames can add 10 to 20% more matrix multiplications without losing performance which may mean more objects per scene, more realistic physics simulations, more vertex and pixel shader calculations (more realistic lighting and textures).

If you call AlphaFold not revolutionary you don't understand what it means for a software to be able to do what would take an entire PhD dissertation in just some minutes. Protein folding is one of the most important bottlenecks in drug development for any disease

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AsthmaBeyondBorders t1_iromrj9 wrote

Google translate is AI. Text-to-speech and vice versa just got a lot better with AI. Text-to-image and text-to-3d object are here. Face and voice recognition only got 99.9% accurate because of AI. AI to music and AI to video is the incoming tech that will probably be at useful levels early next year. AlphaFold solved protein folding (many many people spent 4 years getting a PhD where their dissertations was solving one single protein folding which AlphaFold can now do in minutes). Just this week AI was one the front cover of Nature for improving 10 to 20% processing speed of matrix multiplications (aka the building blocks of computer graphics, physics simulations and AI itself) which wasn't improved on for 50 years.

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AsthmaBeyondBorders t1_irnnljm wrote

Virtue signaling or maybe they just thought it would work out, or maybe the objective was to be decent in many languages but not as good as gpt-3 and this wasn't really a surprise to anyone because they wanted to research how the same model may behave differently in different languages with different grammar rules? Or maybe it was never meant to be a final product and they needed to test it before deciding what to do on their next models? Or maybe they thought coming up with a copy of another AI would be more irrelevant than coming up with an AI that has something different to offer? I think virtue signaling is at the bottom of the list of possibilities here dude.

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