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Grok 3: Another win for the bitter lesson

(www.thealgorithmicbridge.com)
129 points kiyanwang | 1 comments | | HN request time: 0s | source
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ArtTimeInvestor ◴[] No.43112245[source]
It looks like the USA is bringing all technology in-house that is needed to build AI.

TSMC has a factory in the USA now, ASML too. OpenAI, Google, xAI and Nvidia are natively in the USA.

While no other country is even close to build AI on their own.

Is the USA going to "own" the world by becoming the keeper of AI? Or is there an alternative future that has a probability > 0?

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OccamsMirror ◴[] No.43112250[source]
Are LLMs really going to own the world?
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throw310822 ◴[] No.43112284[source]
Intelligence is everything. These things are intelligent- already superhuman in speed and a few limited domains, soon they're going to exceed humans in almost every respect. The advantage they give to the country that owns them is nuclear-weapons like.
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habinero ◴[] No.43113583[source]
This is just flat out not true. They're not intelligent and not capable of becoming so. They aren't reliable, by design.

They're a wildly overhyped solution in search of a problem.

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Workaccount2 ◴[] No.43116100[source]
My non-tech company already uses LLMs where we used to contract software people (for 2 years now - no unresolveable issues). I myself also used LLMs to write an app which is used by people on the production floor now (I'm not a programmer and definitely don't know kotlin).

Maybe LLMs can't work on huge code bases yet, but for writing bespoke software for individuals who need a computer to do xyz but can't speak the language, it already is working wonders.

Being dismissive of LLMs while sitting above their current scope of capabilities gives strong Microsoft 2007 vibes; "The iPhone is a laughable device that presents no threat to windows mobile".

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1. riku_iki ◴[] No.43119386[source]
> Maybe LLMs can't work on huge code bases yet

its also not just about code base size, but also about your expectation of output quality/correctness.