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submitted 10 months ago by TokenBoomer@lemmy.world to c/world@lemmy.world

TheGuardian.com

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[-] Usernamealreadyinuse@lemmy.world 15 points 10 months ago

The article compares the different approaches and goals of China and the US in developing artificial intelligence (AI) technologies.

China is focusing on building large-scale AI systems that can perform specific tasks such as facial recognition, natural language processing, and autonomous driving. China aims to use AI to boost its economic growth, social stability, and global influence.

The US is pursuing more fundamental research on the nature and limits of intelligence, both human and artificial. The US hopes to create more general and adaptable AI systems that can learn from diverse data and environments, and solve complex problems across domains.

The article argues that both countries face challenges and risks in their AI endeavors, such as ethical, legal, and social issues, as well as potential conflicts and competition. The article suggests that more cooperation and dialogue between the two countries could benefit both sides and the world.

[-] JohnDClay@sh.itjust.works 4 points 10 months ago

The US is also doing a whole lot of work on facial recognition, language processing, and autonomous driving. How do they quantity the efforts of each nation in those areas?

[-] intelshill@lemmy.ca 1 points 10 months ago

Lack of effective deployment, mostly.

[-] JohnDClay@sh.itjust.works 1 points 10 months ago

? Are there working self driving cars in China? And natural language processing is everywhere. But I agree on facial recognition, that's much more useful to for China's government style.

[-] intelshill@lemmy.ca 4 points 10 months ago* (last edited 10 months ago)

L5? No. L4? Of course. IIRC it's even been exported to the UAE.

Edit: London has more security cameras per capita than Beijing. I'm not sure what your point is?

[-] JohnDClay@sh.itjust.works 1 points 10 months ago

Half a dozen us companies have that too.

China's networking of the information is the relevant part, not the number of overall cameras. It supports their move towards more control over money and what people can purchase.

[-] intelshill@lemmy.ca 11 points 10 months ago

There's a real question about how much use general-purpose generative AI actually has. The jobs it's taking are mostly creative and busywork-type jobs, which benefit a service-based economy like the US. Automation and data processing instead benefit an industrial-based economy like China.

[-] Sterile_Technique@lemmy.world 8 points 10 months ago

So... since calling this generative language model shit "AI" isn't going away any time soon, what's the term for actual AI? The thinky kind that currently only exists in sci-fi. Distinguishing that from just an algorithm is going to be very important if/when we ever manage to create actual AI.

[-] FuglyDuck@lemmy.world 5 points 10 months ago* (last edited 10 months ago)

the issue you’re having is that LLMs are “real” AI- the distinction is “narrow” AI, which this stuff is, and General AI, like Data or Hal or Kryten.

And the distinction is one that encompasses multiple fields of study and philosophy…. We don’t even know if we’re truly intelligent, so you’ll have to bear with them a while more.

[-] tslnox@reddthat.com 1 points 10 months ago

Don't forget Holly and the very best, Talkie Toaster!

[-] FuglyDuck@lemmy.world 1 points 10 months ago

Would you like a tea cake?

[-] SlopppyEngineer@lemmy.world 3 points 10 months ago

Distinguishing that from just an algorithm

That distinction is already made the moment the software starts to make decisions not preprogrammed into the code or database, but instead needs to be (self) trained and gives a form of emergent behavior.

But that starts at playing space invaders, to sci-fi androids and into super intelligence. It's a very broad term.

[-] Spzi@lemm.ee -4 points 10 months ago* (last edited 10 months ago)

Distinguishing that from just an algorithm

How do you distinguish intelligence from just an algorithm, for example our own?

I assume this was nothing more but a ~~wild assumption on thin ice~~ personal belief.

Edit: Next downvotee please enlighten mee. How do you distinguish the two?

[-] treefrog@lemm.ee 1 points 10 months ago

Number of feedback loops involved in learning is one of the current models separating current machine intelligence from animal intelligence.

https://www.danko-nikolic.com/distinction-between-t2-and-t3-systems/

[-] autotldr@lemmings.world 2 points 10 months ago

This is the best summary I could come up with:


Although the chatbot made by the US-based OpenAI was officially launched in late 2022, it took until 2023 for its unprecedented growth to raise eyebrows in China, where the government has set the goal of becoming the global AI leader by 2030.

AI facial recognition is employed in everything from public security to payment technology; smart glasses and helmets make it easier for many workers to perform their tasks; and intelligent robots have become a common sight in China’s service industry, in malls, restaurants, and banks.

The incident resulted in punishment for iFlyTek staff and served as a warning to other players in the field that their AI models must operate within the guidelines and regulations of China’s strictly governed cyberspace.

Thanks to new AI technology, business owners can now purchase their own deepfake influencers to work and sell for them at all hours of the day, offering unprecedented opportunities to small Chinese entrepreneurs.

Baidu recently announced its grand plan to boost rural economic development by helping 100,000 Chinese farmers sell their products via virtual livestreamers internationally.

The central government’s tight control over digital developments has meant the emphasis is on cyber sovereignty, collective support, “national harmony” and maintaining power with the party.


The original article contains 885 words, the summary contains 203 words. Saved 77%. I'm a bot and I'm open source!

[-] hottari@lemmy.ml 1 points 10 months ago

ChatGPT dominates AI talk too much for a mid app. I'm more interested in what capabilities AI will give our current/future military applications.

[-] CosmoNova@lemmy.world -2 points 10 months ago

Not much of a race when the US does all the important development and research while China just throws it at stupid applications, promising it will magically solve all their core problems at once. Unless their service robots learn to birth children, I don‘t have much hope for their stability here.

[-] TokenBoomer@lemmy.world -2 points 10 months ago

Didn’t China collapse yesterday?

this post was submitted on 09 Jan 2024
48 points (85.3% liked)

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