1 00:00:02,520 --> 00:00:07,080 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,280 --> 00:00:10,640 Speaker 2: The third pillar around making sure that we are expediting 3 00:00:10,720 --> 00:00:14,640 Speaker 2: the export of our American AI stack. That is really 4 00:00:14,640 --> 00:00:15,880 Speaker 2: core to our mission at Armada. 5 00:00:16,120 --> 00:00:18,320 Speaker 3: Well, what I really like about the AI Action Plan 6 00:00:18,440 --> 00:00:20,320 Speaker 3: is I actually believe it's quite actionable. 7 00:00:22,800 --> 00:00:25,040 Speaker 2: That's just what a few of the AI leaders had 8 00:00:25,079 --> 00:00:28,680 Speaker 2: to say yesterday in Washington about President Trump's AI Action 9 00:00:28,880 --> 00:00:32,600 Speaker 2: Plan here with more in the administration's AI rollout is 10 00:00:32,640 --> 00:00:35,320 Speaker 2: one of the people that helped formulate write that policy 11 00:00:35,360 --> 00:00:39,960 Speaker 2: in that document, Shariram Krishnan, Whitehouse Senior Policy Advisor for AI, 12 00:00:40,080 --> 00:00:43,559 Speaker 2: to get here in person in Washington, d C. There 13 00:00:43,600 --> 00:00:45,960 Speaker 2: was a point towards the end of that that sequence 14 00:00:46,000 --> 00:00:52,240 Speaker 2: of comments about exporting the American technology stack, exporting chips 15 00:00:52,240 --> 00:00:56,720 Speaker 2: in particular. Your colleagues in the cabinet, mister Lutnick, for example, 16 00:00:56,760 --> 00:00:59,680 Speaker 2: talked about this at length on stage. Are we going 17 00:00:59,680 --> 00:01:02,040 Speaker 2: to get a sets of rules and how will we 18 00:01:02,160 --> 00:01:06,160 Speaker 2: decide the volume and specificity of the types of chips 19 00:01:06,160 --> 00:01:08,279 Speaker 2: that we can sell, particularly into China? 20 00:01:09,280 --> 00:01:12,560 Speaker 1: Thank you Ed for having me here. I think we're 21 00:01:12,560 --> 00:01:14,600 Speaker 1: going to work on that. I think if you look 22 00:01:14,640 --> 00:01:17,800 Speaker 1: at the executive order that President Trump signed, which is 23 00:01:17,840 --> 00:01:21,120 Speaker 1: about America setting the standard. What you're going to see 24 00:01:21,280 --> 00:01:24,720 Speaker 1: is we're going to work closely with our friends in commerce, 25 00:01:25,080 --> 00:01:29,240 Speaker 1: especially in BIS, and what we're going to figure out 26 00:01:29,520 --> 00:01:31,520 Speaker 1: is what those police are going to be. But the 27 00:01:31,560 --> 00:01:35,840 Speaker 1: metapoint here is President Trump said was very clear, we 28 00:01:35,880 --> 00:01:39,360 Speaker 1: need America to set the standard for how AI is 29 00:01:39,360 --> 00:01:43,119 Speaker 1: being used globally, from chips to models, to every part 30 00:01:43,160 --> 00:01:45,680 Speaker 1: of the stack. And what we've seen over the last 31 00:01:45,760 --> 00:01:48,960 Speaker 1: six months, be it with Huawei on the chip side, 32 00:01:49,120 --> 00:01:52,520 Speaker 1: or be it with models like deep Seak, we have competition, 33 00:01:53,000 --> 00:01:56,040 Speaker 1: and yesterday's plan sets a very clear note that we 34 00:01:56,240 --> 00:01:59,320 Speaker 1: need to be making sure that our standards exist worldwide. 35 00:01:59,600 --> 00:02:02,280 Speaker 2: I read all twenty three pages as many times as 36 00:02:02,280 --> 00:02:04,920 Speaker 2: I could think twenty three on the version I have, 37 00:02:05,040 --> 00:02:08,720 Speaker 2: but we can agree to disagree. There's a heavy emphasis 38 00:02:08,760 --> 00:02:12,200 Speaker 2: on deregulation and permitting that we get for the onshoring 39 00:02:12,240 --> 00:02:16,520 Speaker 2: component for exporting American AI. What is it tangibly What 40 00:02:16,639 --> 00:02:19,799 Speaker 2: action will be taken to open that up, be it 41 00:02:19,880 --> 00:02:21,959 Speaker 2: on the software end or the hardware end of the stack. 42 00:02:22,320 --> 00:02:26,200 Speaker 1: Yes, So if you prison. Trump signed three executive orders yesterday, 43 00:02:26,480 --> 00:02:29,280 Speaker 1: and one of them deals exactly with this and what 44 00:02:29,320 --> 00:02:31,320 Speaker 1: we're going to do is we're going to work with 45 00:02:31,480 --> 00:02:34,920 Speaker 1: industry to come up with a gold standard for what 46 00:02:34,960 --> 00:02:37,359 Speaker 1: the American stack should be. And there's going to be 47 00:02:37,440 --> 00:02:39,919 Speaker 1: a process and how we figured this out, and then 48 00:02:40,040 --> 00:02:42,640 Speaker 1: we're going to try and make sure that when we 49 00:02:42,680 --> 00:02:46,320 Speaker 1: work with our partners and our allied countries that they 50 00:02:46,360 --> 00:02:48,760 Speaker 1: are using our stack instead of the competitions. 51 00:02:49,120 --> 00:02:52,480 Speaker 3: For many would look at the four point two trillion 52 00:02:52,520 --> 00:02:56,600 Speaker 3: dollar market capitalization of Nvidia and wonder doesn't need any 53 00:02:56,600 --> 00:03:00,160 Speaker 3: more help in exporting its tech stack right now. How 54 00:03:00,280 --> 00:03:02,519 Speaker 3: much more support does an AMD or an Nvidia need. 55 00:03:02,440 --> 00:03:06,280 Speaker 1: You think, Well, the way we look at it is 56 00:03:06,400 --> 00:03:10,440 Speaker 1: we want America to win. We want American GPUs and 57 00:03:10,480 --> 00:03:15,079 Speaker 1: American models to be used. And Nvidia and AMD happened 58 00:03:15,080 --> 00:03:18,400 Speaker 1: to be great American companies along with many many others, 59 00:03:18,639 --> 00:03:22,080 Speaker 1: and so our job is to create the playing field 60 00:03:22,360 --> 00:03:25,880 Speaker 1: where company where Jensen or I saw doctor Lisa Sue 61 00:03:26,000 --> 00:03:29,000 Speaker 1: earlier can go sell their products worldwide. 62 00:03:29,360 --> 00:03:33,520 Speaker 3: Let's talk about that team, because there were some absences. 63 00:03:33,720 --> 00:03:36,240 Speaker 3: Let's say it we would think that Intel would be 64 00:03:36,600 --> 00:03:39,400 Speaker 3: a company about some report on its earnings that would 65 00:03:39,400 --> 00:03:42,560 Speaker 3: be integral to manufacturing here in the US. GSMC from 66 00:03:42,560 --> 00:03:44,480 Speaker 3: abroad coming in and putting money to work here in 67 00:03:44,480 --> 00:03:47,080 Speaker 3: the United States as well. What do we interpret by 68 00:03:47,080 --> 00:03:48,240 Speaker 3: those who weren't in the room. 69 00:03:50,280 --> 00:03:51,960 Speaker 1: I'm not sure I would read too much into that. 70 00:03:52,080 --> 00:03:54,520 Speaker 1: I think if you look at yesterday's event, it was 71 00:03:54,680 --> 00:03:59,400 Speaker 1: amazingly well attended. We had industry leaders from across the stack, 72 00:03:59,480 --> 00:04:03,200 Speaker 1: from the semi conductor space to energy, to AI models 73 00:04:03,240 --> 00:04:07,160 Speaker 1: to AI applications, and as you said, like you know, 74 00:04:07,280 --> 00:04:10,880 Speaker 1: we really want American some my conductor industry to win, 75 00:04:11,280 --> 00:04:14,160 Speaker 1: and you saw today's event being extremely well represented. 76 00:04:14,200 --> 00:04:17,440 Speaker 2: When it came to that, you have advised the president 77 00:04:17,600 --> 00:04:20,640 Speaker 2: and collectively as a group, looked at policy. But there 78 00:04:20,680 --> 00:04:22,520 Speaker 2: was a moment that we have to address yesterday where 79 00:04:22,560 --> 00:04:25,880 Speaker 2: the President, after making various people stand up, said that 80 00:04:25,920 --> 00:04:28,680 Speaker 2: he had looked at breaking up in video, but then 81 00:04:28,760 --> 00:04:32,000 Speaker 2: came to understand how crucial they were to the American 82 00:04:32,040 --> 00:04:35,240 Speaker 2: technology stack and that his aid so basically said to him, 83 00:04:35,320 --> 00:04:38,919 Speaker 2: Jensen's great. Can I ask you, did you ever discuss 84 00:04:39,000 --> 00:04:41,239 Speaker 2: with the president the idea of breaking up in video 85 00:04:41,520 --> 00:04:43,800 Speaker 2: and why that was included in his speech? 86 00:04:44,080 --> 00:04:46,520 Speaker 1: No, I wasn't in the meeting with the president, but 87 00:04:46,560 --> 00:04:49,120 Speaker 1: I think what the President was referring to, is that 88 00:04:49,360 --> 00:04:52,919 Speaker 1: Nvidia has just done a phenomenal job in building products 89 00:04:52,960 --> 00:04:56,960 Speaker 1: and applications and GPUs that the world is using, and 90 00:04:57,000 --> 00:04:59,039 Speaker 1: that they're so ahead of the curve. So if you 91 00:04:59,120 --> 00:05:01,320 Speaker 1: listen to the second lot of what the President said, 92 00:05:01,560 --> 00:05:04,080 Speaker 1: he talked about how it's going to take several years 93 00:05:04,120 --> 00:05:06,719 Speaker 1: for people to catch up with them. And I think 94 00:05:06,760 --> 00:05:08,880 Speaker 1: that's kind of one of the pieces that's put America 95 00:05:08,920 --> 00:05:11,560 Speaker 1: in this pole position when it comes to the GPU, 96 00:05:11,640 --> 00:05:14,120 Speaker 1: is that everybody in the world wants to get access. 97 00:05:13,839 --> 00:05:18,719 Speaker 2: To We appreciate the clarity issue round open source, very prominent, 98 00:05:18,920 --> 00:05:22,000 Speaker 2: very high up in the AI Action Plan. Why that's 99 00:05:22,040 --> 00:05:23,799 Speaker 2: something you're particularly focused on as well. 100 00:05:24,000 --> 00:05:26,600 Speaker 1: Yes, And this is an issue near and dear to 101 00:05:26,680 --> 00:05:28,760 Speaker 1: my heart. And this is something which I think the 102 00:05:28,800 --> 00:05:32,320 Speaker 1: Biden administration got totally wrong, where they tried to basically 103 00:05:32,360 --> 00:05:35,799 Speaker 1: scare people about open source. We believe that open source 104 00:05:35,839 --> 00:05:39,880 Speaker 1: is the integral part of innovation, of how academic research 105 00:05:40,000 --> 00:05:44,200 Speaker 1: is done, how you get little tech to innovate quickly 106 00:05:44,240 --> 00:05:46,839 Speaker 1: and be on a level playing field. And we think 107 00:05:46,880 --> 00:05:49,880 Speaker 1: America should win. And you know, the first day when 108 00:05:49,880 --> 00:05:52,640 Speaker 1: I took this job, we had Deep Sea come out 109 00:05:52,960 --> 00:05:57,240 Speaker 1: and really, you know, send a signal that America wasn't 110 00:05:57,279 --> 00:05:59,240 Speaker 1: actually leading in open source at the time, and we 111 00:05:59,279 --> 00:06:01,880 Speaker 1: believe that needs we rectified. And that's why in the 112 00:06:01,880 --> 00:06:04,560 Speaker 1: action plan we send a very strong signal that open 113 00:06:04,600 --> 00:06:06,600 Speaker 1: source or open weights America is going to have a 114 00:06:06,680 --> 00:06:07,440 Speaker 1: leadership position. 115 00:06:07,880 --> 00:06:10,280 Speaker 3: Another thing near in dat to your heart is pro wrestling, 116 00:06:11,080 --> 00:06:13,520 Speaker 3: and it feels like we're in a wrestling match between 117 00:06:13,640 --> 00:06:16,080 Speaker 3: China and the US, and I'm really interested as to 118 00:06:16,120 --> 00:06:19,080 Speaker 3: how you navigate the rules of that wrestling match. For example, 119 00:06:19,480 --> 00:06:22,479 Speaker 3: China gives US rare earth metal access in return, we 120 00:06:22,520 --> 00:06:25,440 Speaker 3: give them some H twenties. But how does Vialion navigate 121 00:06:25,480 --> 00:06:28,120 Speaker 3: if China stops and chokes that will they have to 122 00:06:28,160 --> 00:06:30,640 Speaker 3: be limited in H twenty How do they get certainty 123 00:06:30,640 --> 00:06:31,360 Speaker 3: in this environment? 124 00:06:32,720 --> 00:06:34,880 Speaker 1: Well, first of all, if you're talking pro wrestling, let's 125 00:06:34,880 --> 00:06:37,360 Speaker 1: speak clear. We have the face, we have the baby 126 00:06:37,400 --> 00:06:39,880 Speaker 1: face who's going to ultimately go over for all of 127 00:06:39,880 --> 00:06:42,680 Speaker 1: you pro wrestling fans. But look, you know, the way 128 00:06:42,720 --> 00:06:46,039 Speaker 1: we think about it is we want the American tech 129 00:06:46,040 --> 00:06:49,039 Speaker 1: stack to win. One of the metrics I talk about 130 00:06:49,320 --> 00:06:53,159 Speaker 1: is every token that is inferenced worldwide, we want it 131 00:06:53,200 --> 00:06:56,520 Speaker 1: to be on an American GPU or using an American model, 132 00:06:56,520 --> 00:06:59,360 Speaker 1: how many our Quaterllion tokens there are, And when it 133 00:06:59,400 --> 00:07:02,760 Speaker 1: comes to the head twenty, I think the way we 134 00:07:02,800 --> 00:07:06,159 Speaker 1: think about it is we would much rather have Nvideo 135 00:07:06,440 --> 00:07:11,160 Speaker 1: or AMD be the GPU of choice rather using Huawei 136 00:07:11,320 --> 00:07:12,840 Speaker 1: or somebody else's. And that's how we. 137 00:07:12,800 --> 00:07:15,640 Speaker 3: See it in video is a babyface as a fan favorite. 138 00:07:15,680 --> 00:07:16,120 Speaker 2: I love it. 139 00:07:16,240 --> 00:07:18,440 Speaker 3: Sharam krish Nan has been great having time with you. 140 00:07:18,520 --> 00:07:21,360 Speaker 3: Thank you, White House Senior Policy Advisor for AI