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Why Everyone is Dead Wrong About Deepseek China Ai And Why You Need to…

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작성자 Amparo 작성일25-02-13 02:50 조회5회 댓글0건

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And that i wish to take us to an announcement by Secretary of State Antony Blinken, who said, "We are at an inflection level. "These CCP connections are intensive and publicly identified, at least in China. Can they sustain that in sort of a extra constrained budget atmosphere with a slowing economic system is certainly one of the large questions on the market amongst the China policy group. Industry sources informed CSIS that-lately-advisory opinions have been extraordinarily impactful in increasing legally allowed exports of SME to China. Mr. Allen: We had some enjoyable stuff however we did not have ChatGPT. So, you know, look, when I’m sitting on a Sunday afternoon on a phone call with the Secretary of Commerce and the National Security Advisor speaking in regards to the minutia of the parameter of some export management rule, you say, شات DeepSeek huh, this is probably actually important stuff. PRC can modernize their military; they just shouldn’t be doing it with our stuff.


All proper. The PRC isn't stagnant. One, we didn’t get the parameter precisely right. They’re saying, Ok, I can’t get an EUV machine; I can’t get the best DUV machine because I have countrywide bans, and you already know, there’s controls on sure fabs. Essentially the most impressive factor about DeepSeek AI-R1’s efficiency, several artificial intelligence (AI) researchers have identified, is that it purportedly did not achieve its outcomes by way of access to large quantities of computing power (i.e., compute) fueled by excessive-performing H100 chips, which are prohibited to be used by Chinese companies underneath US export controls. You already know, folks say we’re too close to trade speaking to the companies - so as to understand, like, what makes a good synthetic intelligence GPU, I spend numerous time with people who both built you recognize, the mannequin - huge, giant language fashions - you understand, folks at OpenAI or Anthropic or Inflection - you recognize, title your AI firm du jour - or I speak to Nvidia and AMD and Intel and the individuals who make chips. Mr. Estevez: - when everybody said, oh, that is an actual thing, not some like "woo-woo," you understand, like, deep inside JAIC or the place you got here from.


Mr. Estevez: - that TSMC had tried within the 2010s and then waited for EUV machines before they went down to that degree - that, you recognize, if you had been going to do it from an economic standpoint, you’d fall in your face; but when you’re subsidized and the economic system of scale isn’t your worry - I can, like, produce chips. However the mannequin isn’t good. They’re going to be excellent for a variety of applications, however is AGI going to return from a number of open-supply folks working on a model? And you understand, I’ll throw in the small yard-high fence factor and what does that imply, as a result of persons are going to always ask me, well, what’s the definition of the yard? And he really appeared to say that with this new export management policy we are type of bookending the end of the post-Cold War era, and this new coverage is type of the start line for what our approach is going to be writ massive. Up to now, all different fashions it has released are also open source. Since the corporate was based, they've developed quite a lot of AI models.


54311444805_befca6e099_c.jpg "It’s clear that they've been arduous at work since. Mr. Estevez: Yeah, look, I feel - I’m a modest individual, but I think the work that BIS has carried out is critically necessary right now. Mr. Estevez: - which must do extra, too, by the best way. The period of time I’ve spent in the Situation Room is manner greater than I anticipated in this job. I'd like to see a lot more effort put into improving this. And so I’d prefer to - sticking with the AI and semiconductor story here, if you can just sort of clarify your personal trying back sense of what was the large second that - what occurred in October 2022, what occurred in October 2023, what happened in December 2024, and what’s happened in January -simply yesterday, in actual fact, with this diffusion rule. Mr. Estevez: Sure. So let me start off with what’s constant across all those, and it goes again to what I used to be saying from the podium, that we have been targeted on the dangers associated to synthetic intelligence - the nationwide security danger associated to artificial intelligence and the need to put some control on that and definitely to control adversarial use of that towards us.



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