this post was submitted on 17 Feb 2025
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Summary

South Korea has banned new downloads of DeepSeek, a Chinese AI chatbot, citing privacy and national security concerns, pending compliance with local data protection laws.

The app, which soared to over a million weekly users, remains accessible to existing users or via its website.

The ban follows similar steps by Taiwan, Australia, and Italy, while the US is considering a federal ban.

DeepSeek has raised global scrutiny around data handling and AI leadership.

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[–] NatakuNox 12 points 1 day ago* (last edited 1 day ago) (1 children)

Deepseek is no more of a privacy concern than any other social media app. Yes those working in sensitive fields where security is paramount I understand, but if they are making this declaration out of general privacy concerns they need to increase the security and consumer protections across all platforms and apps universally.

[–] barnaclebutt 5 points 1 day ago* (last edited 1 day ago) (1 children)

It's a little bit more of a security concern, becuae people are unloading more sensitive information including code to the Chinese database. I agree that there needs to be more security on all apps.

[–] NatakuNox 5 points 1 day ago

I'm mean yes, that's not good. But the flaw in any system is the human element. People uploading sensitive materials and using it to write defense contract coding is worrying but not because of Deepseek. We need to increase the scrutiny of those with such sensitive information and access to ensure they are by the book.

[–] barnaclebutt 1 points 1 day ago

Is deepseek running off of any local servers in Europe or Canada? It's superior to chatgpt, but painfully slow to run locally.

[–] Bloomcole -3 points 1 day ago (1 children)

As always, can't beat them so ban them

[–] FlyingSquid 1 points 1 day ago (2 children)
[–] cyd 13 points 1 day ago* (last edited 1 day ago)

Dylan's just being deliberately obtuse. Deepseek developed a way to increase training efficiency and backed it up by quoting the training cost in terms of the market price of the GPU time. They didn't include the cost of the rest of their datacenter, researcher salaries, etc., because why would you include those numbers when evaluating model training efficiency???

The training efficiency improvement passes the sniff test based on the theory in their paper, and people have done back of the envelope calculations that also agree with the outcome. There's little reason to doubt it. In fact people have made the opposite criticism, that none of Deepseek's optimizations are individually groundbreaking and all they did is "merely engineering" in terms of putting a dozen or so known optimization ideas together.

[–] Bloomcole -3 points 1 day ago

Right, because one guy claims this. Where's the proof? Pathetic cope anyway for taking a beating