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    Home»Economy»What should AI policy learn from DeepSeek?
    Economy

    What should AI policy learn from DeepSeek?

    Press RoomBy Press RoomJanuary 21, 2025No Comments2 Mins Read
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    That is a Bloomberg column of mine from about two weeks ago.  I thought it would make more sense to people if I did not blog it right away.  Here is one bit:

    Now the world knows that a very high-quality AI system can be trained for a relatively small sum of money. That could bring comparable AI systems into realistic purview for nations such as Russia, Iran, Pakistan and others. It is possible to imagine a foreign billionaire initiating a similar program, although personnel would be a constraint. Whatever the dangers of the Chinese system and its potential uses, DeepSeek-inspired offshoots in other nations could be more worrying yet.

    Finding cheaper ways to build AI systems was almost certainly going to happen anyway. But consider the tradeoff here: US policy succeeded in hampering China’s ability to deploy high-quality chips in AI systems, with the accompanying national-security benefits, but it also accelerated the development of effective AI systems that do not rely on the highest-quality chips.

    It remains to be seen whether that tradeoff will prove to be a favorable one. Not just in the narrow sense — although there are many questions about DeepSeek’s motives, pricing strategy, plans for the future and its relation to the Chinese government that remain unanswered or unanswerable. The tradeoff is uncertain in a larger sense, too.

    To paraphrase the Austrian economist Ludwig Mises: Government interventions have important unintended secondary consequences. To see if a policy will work, it is necessary to consider not only its immediate impact but also its second- and third-order effects.

    Here is yesterday’s summary of the news from DeepSeek.

    The post What should AI policy learn from DeepSeek? appeared first on Marginal REVOLUTION.



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