South Korea makes AI investment a top policy priority to support flagging growth
South Korea makes AI investment a top policy priority to support flagging growth
www.reuters.com
reuters.com
Comments
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Yeah, let's change nothing about how we make it impossible or incredibly unattractive for young people to have kids, while also not allowing immigration and instead do... checks notes something with AI
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"A grand transformation into AI is the only way out of growth declines resulting from a population shock," the ministry said in a statement, referring to South Korea's record low birthrate.
The funny bit is how "AI companions" are one of the most profitable uses of AI so far . See how THAT increases a country's birthrate.
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Lol
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"That's a bold strategy Cotton, let's see if that works out for them."
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Good luck suckers. Easy mark, easy money.
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LG's recent Exaone release is a pretty awesome local model for the size. A little deep-fried and repetitive, but great for code and stuff, which is especially notable since most decent models tend to only be good at Mandarin Chinese and English.
...Except they slapped an insane license on it. Basically you sign away your life away even looking at it: https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-32B/blob/main/LICENSE
That is not the precedent. Many 32B class (aka 16GB-24GB VRAM GPU) models are Apache licensed. Hence, the ML tinkerer community has pretty much forgotten about it.
AI technology for home appliances?
The best home appliances have no smart functionality in them; it's merely another avenue for something to break.
I get where you're coming from, but it's not so black and white. Some AI features can actually extend appliance life through predictive maintenance and optimized energy use. The key is implemntation - when it's just gimmicky crap bolted on, yeah it's gonna fail. But when it's thoughtfully integrated? Different story.
As a software engineer, hard disagree. There is no need for any AI in any of that. The device will have gone through various testing. If they wanted to implement this, they could use what they learnt in all the testing to set threshold values and run occasional diagnostics, all on-board with no internet, to know about such things. The only internet even required might be updates to those tables of values (or if a user wanted to opt in to sharing their data for whatever reason).
Is that really AI (in the colloquial sense of the word like it is used in the article)? From memory such features were marketed in an industrial context around ~10 years ago.