1 00:00:00,200 --> 00:00:03,720 Speaker 1: Welcome to today's podcast sponsored by Hillsdale College, All Things 2 00:00:03,800 --> 00:00:06,280 Speaker 1: Hillsdale at Hillsdale dot edu, or I encourage you to 3 00:00:06,280 --> 00:00:08,800 Speaker 1: take advantage of the many free online courses there, and 4 00:00:08,840 --> 00:00:11,119 Speaker 1: of course I'll listen to the Hillsdale Dialogue all of 5 00:00:11,119 --> 00:00:14,560 Speaker 1: them at Hugh for Hillsdale dot com or just google, Apple, 6 00:00:14,920 --> 00:00:19,320 Speaker 1: iTunes and Hillsdale. Welcome back on here. I'm Hugh Hewett. 7 00:00:19,760 --> 00:00:22,800 Speaker 1: Josh Holmes, one of the fellas from the Ruthless podcast, 8 00:00:22,920 --> 00:00:26,520 Speaker 1: joins me. Follow Josh on x at Holmes Josh follow 9 00:00:26,560 --> 00:00:29,639 Speaker 1: the Ruthless podcast or podcasts or are If you wish 10 00:00:29,680 --> 00:00:32,120 Speaker 1: to appine on anything the fellas have to say, you 11 00:00:32,200 --> 00:00:35,720 Speaker 1: must like and subscribe. Mister Holmes, I just came in 12 00:00:35,840 --> 00:00:39,560 Speaker 1: smoking hot after an eleven minute monologue on anti Semitism. 13 00:00:39,640 --> 00:00:41,720 Speaker 1: So sorry about that. I want to switch up on 14 00:00:41,760 --> 00:00:42,080 Speaker 1: your own. 15 00:00:42,120 --> 00:00:44,960 Speaker 2: Oh I want it. I will tell me. I'm glad 16 00:00:45,040 --> 00:00:45,479 Speaker 2: to do it. 17 00:00:45,920 --> 00:00:49,400 Speaker 1: Do you think the Republicans have done enough on anti Semitism? 18 00:00:49,479 --> 00:00:50,640 Speaker 1: Because I don't know that we have. 19 00:00:52,080 --> 00:00:55,280 Speaker 3: I do not, Hugh, I do not, and I do 20 00:00:55,440 --> 00:00:57,040 Speaker 3: not see this as a political debate. 21 00:00:57,040 --> 00:00:58,400 Speaker 2: We cover this on the show today. 22 00:00:58,440 --> 00:01:01,160 Speaker 3: This is not a political debate when You've got a 23 00:01:01,200 --> 00:01:04,560 Speaker 3: group of people over the last forty years who want 24 00:01:04,600 --> 00:01:10,480 Speaker 3: to eliminate an entire existence, in this case, the Jewish 25 00:01:10,520 --> 00:01:15,360 Speaker 3: people in the Jewish State. We know how history has 26 00:01:15,440 --> 00:01:18,080 Speaker 3: dealt with this sort of thing. You cannot turn a 27 00:01:18,120 --> 00:01:21,039 Speaker 3: blind eye to it. You just simply can't. It's not 28 00:01:21,080 --> 00:01:24,720 Speaker 3: a political debate. There is no Michigan problem for Democrat. 29 00:01:24,959 --> 00:01:30,480 Speaker 3: For Democrats, this is a domestic terror situation. This is 30 00:01:30,520 --> 00:01:34,840 Speaker 3: an international terroristic situation. You've got to address it with 31 00:01:34,880 --> 00:01:36,000 Speaker 3: that kind of seriousness. 32 00:01:36,319 --> 00:01:40,560 Speaker 1: And I hope DOJ does. After the Bondayed Beach thing, 33 00:01:40,800 --> 00:01:43,000 Speaker 1: I just said, what in the world has gone on here? 34 00:01:43,120 --> 00:01:45,080 Speaker 1: This is going to get worse. It's going to happen 35 00:01:45,640 --> 00:01:48,040 Speaker 1: in Washington, d C. It's going to happen in New York. 36 00:01:48,160 --> 00:01:51,200 Speaker 1: It took two guys and they can't even get guns 37 00:01:51,240 --> 00:01:54,200 Speaker 1: in Australia. Australia can't get guns, and so can you 38 00:01:54,240 --> 00:01:57,240 Speaker 1: imagine what happens when they decide to start popping off 39 00:01:57,280 --> 00:02:00,200 Speaker 1: here in the United States at Jews. 40 00:02:00,560 --> 00:02:03,640 Speaker 2: Well, I mean, we know, we know. I mean this 41 00:02:03,680 --> 00:02:04,600 Speaker 2: has happened around the world. 42 00:02:04,840 --> 00:02:09,920 Speaker 3: Look, my lifetime is marked by demarcations of attacks to 43 00:02:10,000 --> 00:02:13,720 Speaker 3: try to eliminate either the Jewish people or Western civilization. 44 00:02:14,240 --> 00:02:16,519 Speaker 3: Time and time again, it wasn't until post nine to 45 00:02:16,560 --> 00:02:20,359 Speaker 3: eleven that anybody sort of fought back in any meaningful way. 46 00:02:20,400 --> 00:02:22,400 Speaker 3: And you know, like, let's let the twenty years of 47 00:02:22,440 --> 00:02:25,360 Speaker 3: the war on terror set that aside for a moment. 48 00:02:25,400 --> 00:02:28,560 Speaker 3: The point is, these people want to kill us, and 49 00:02:28,600 --> 00:02:31,680 Speaker 3: there isn't That's not a political debate, that's an objective fact. 50 00:02:32,320 --> 00:02:35,560 Speaker 1: And I am hoping Republicans stand up and say, we 51 00:02:35,600 --> 00:02:38,120 Speaker 1: want the assault law, we want the FBI in there, 52 00:02:38,160 --> 00:02:40,600 Speaker 1: we want thej in there. But now I got to 53 00:02:40,600 --> 00:02:44,360 Speaker 1: go to politics, Josh, I'll go listen today's podcast. The 54 00:02:44,440 --> 00:02:47,520 Speaker 1: Republicans are tying they got dragged onto the dance floor 55 00:02:47,520 --> 00:02:49,720 Speaker 1: by the Democrats into healthcare. They didn't want to do 56 00:02:49,760 --> 00:02:52,680 Speaker 1: this dance. They didn't create Obamacare. Obamacare is the other 57 00:02:52,720 --> 00:02:57,680 Speaker 1: team's complete cataclysmic failure, and they're getting dragged in. What 58 00:02:57,720 --> 00:03:00,600 Speaker 1: would your advice be to Republican would be to leave 59 00:03:00,639 --> 00:03:02,560 Speaker 1: the dance floor and see how bad it is and 60 00:03:02,600 --> 00:03:03,280 Speaker 1: then come in. 61 00:03:03,480 --> 00:03:06,400 Speaker 3: What do you think, Well, you certainly don't want to 62 00:03:06,440 --> 00:03:09,320 Speaker 3: settle for Democrat light. I mean, they have one objective 63 00:03:09,320 --> 00:03:12,040 Speaker 3: and one objective only when it comes to the issue 64 00:03:12,040 --> 00:03:15,440 Speaker 3: of healthcare. It's to create entitlement programs and slowly expand 65 00:03:15,440 --> 00:03:17,480 Speaker 3: the eligibility to the point where you have a single 66 00:03:17,520 --> 00:03:20,840 Speaker 3: payer healthcare system. They look at a place like the 67 00:03:20,919 --> 00:03:25,320 Speaker 3: National Health Service in the UK, and instead of understanding 68 00:03:25,360 --> 00:03:28,200 Speaker 3: that everybody who needs it and can afford serious health 69 00:03:28,200 --> 00:03:30,760 Speaker 3: care then flies to the United States to receive it. 70 00:03:30,919 --> 00:03:32,639 Speaker 2: They see that as a virtue. 71 00:03:32,320 --> 00:03:37,320 Speaker 3: And a benefit and it is ruined country by country 72 00:03:37,800 --> 00:03:39,720 Speaker 3: on how they deal with and so they prefer to 73 00:03:39,800 --> 00:03:42,640 Speaker 3: ruin our healthcare system, and that's what they have attempted 74 00:03:42,680 --> 00:03:45,200 Speaker 3: to do with Obamacare. But the idea, first of all, 75 00:03:45,560 --> 00:03:49,440 Speaker 3: this whole issue arose of rising premiums, rising premiums that 76 00:03:49,480 --> 00:03:55,560 Speaker 3: were subsidized significantly with plus ups that they're now arguing about, 77 00:03:55,760 --> 00:03:58,800 Speaker 3: the premiums that you're paying now, which are outrageous, which 78 00:03:58,800 --> 00:04:03,200 Speaker 3: were very predictable, which were Republicans talked about, we're. 79 00:04:04,560 --> 00:04:08,120 Speaker 2: Backstopped by those taxes. 80 00:04:07,680 --> 00:04:10,840 Speaker 3: That we went to go subsized insurance companies over so 81 00:04:10,920 --> 00:04:13,760 Speaker 3: Republicans have a different set of ideas on all that. 82 00:04:13,840 --> 00:04:16,279 Speaker 3: I don't think you can see the space entirely, but 83 00:04:16,360 --> 00:04:19,159 Speaker 3: there are a handful of things like Steve Scale put 84 00:04:19,200 --> 00:04:23,200 Speaker 3: forward in the House that have been well vetted topics 85 00:04:23,240 --> 00:04:26,000 Speaker 3: over the last twenty years that I think should receive 86 00:04:26,080 --> 00:04:29,760 Speaker 3: some consideration. My sense is that Democrats don't actually want 87 00:04:29,760 --> 00:04:32,159 Speaker 3: to solve this problem. I think what they want to 88 00:04:32,160 --> 00:04:34,640 Speaker 3: do is have the political issue. It's their most comfortable 89 00:04:35,080 --> 00:04:37,200 Speaker 3: footing and one that they would like to take in 90 00:04:37,240 --> 00:04:39,839 Speaker 3: the midterms, but make them vote against some of this stuff. 91 00:04:39,960 --> 00:04:43,320 Speaker 2: I mean, there's no sense in just ignoring it. 92 00:04:43,839 --> 00:04:46,000 Speaker 1: Now. You've been in the Hill, and I think you're 93 00:04:46,000 --> 00:04:49,280 Speaker 1: probably there during Obamacare and there was a moment at 94 00:04:49,279 --> 00:04:52,719 Speaker 1: which Obama almost blinked. It was like a four day 95 00:04:52,800 --> 00:04:56,080 Speaker 1: pause after Ted Kennedy dies and then they just got 96 00:04:56,240 --> 00:04:59,520 Speaker 1: Bill Man. Remember he said, go ahead, go for whatever 97 00:04:59,560 --> 00:05:02,120 Speaker 1: the Senate it sent over, and they went with it. 98 00:05:02,160 --> 00:05:05,240 Speaker 1: It's a nightmare. I think the Republicans ought to come 99 00:05:05,320 --> 00:05:07,479 Speaker 1: up with an idea and do it through reconciliation. But 100 00:05:07,560 --> 00:05:10,120 Speaker 1: I'm a dummy. I don't know how hard reconciliation as 101 00:05:10,160 --> 00:05:12,200 Speaker 1: you actually know it can. It be done. 102 00:05:13,720 --> 00:05:16,120 Speaker 2: Well, it can be done hypothetically. And there's an awful 103 00:05:16,160 --> 00:05:17,280 Speaker 2: lot of what it is that. 104 00:05:17,200 --> 00:05:20,279 Speaker 3: They're talking about that could be attempted here, and I 105 00:05:20,279 --> 00:05:24,400 Speaker 3: think probably should be attempted here. I am skeptical about 106 00:05:24,400 --> 00:05:26,359 Speaker 3: the challenges that are in place. I mean, look, the 107 00:05:26,360 --> 00:05:29,600 Speaker 3: Big Beauty is a no brainer from a Republican standpoint, 108 00:05:29,600 --> 00:05:32,359 Speaker 3: to make a beautiful bill that they've passed last July. 109 00:05:32,960 --> 00:05:36,440 Speaker 3: That is something that left to right across the spectrum 110 00:05:36,480 --> 00:05:38,960 Speaker 3: within the Republican Party people can agree on. 111 00:05:39,000 --> 00:05:41,000 Speaker 2: And that was tough. That was hard to do. 112 00:05:41,600 --> 00:05:44,839 Speaker 3: We've had more difficult political environment since then. We have 113 00:05:44,920 --> 00:05:47,920 Speaker 3: less unity since then, We've lost a couple of seats 114 00:05:47,920 --> 00:05:51,200 Speaker 3: in terms of people retiring and all of that, and 115 00:05:51,240 --> 00:05:54,960 Speaker 3: so you've got to be really clear about the feasibility 116 00:05:55,000 --> 00:05:58,200 Speaker 3: of what it is that you're attempting to do. That said, 117 00:05:58,640 --> 00:06:00,919 Speaker 3: I think they ought to try to do something, and 118 00:06:00,960 --> 00:06:04,560 Speaker 3: I think that the President actually has a unique opportunity here, Hugh, 119 00:06:05,000 --> 00:06:06,760 Speaker 3: because the end of January, we're going to need into 120 00:06:06,960 --> 00:06:10,800 Speaker 3: maybe another shutdown discussion or something. But it's certainly not 121 00:06:10,880 --> 00:06:12,840 Speaker 3: going to solve this problem on healthcare, and he's got 122 00:06:12,839 --> 00:06:15,840 Speaker 3: the opportunity for the State of the Union to reunite 123 00:06:16,080 --> 00:06:19,279 Speaker 3: the Republican Party in an effort to try to address 124 00:06:19,320 --> 00:06:21,159 Speaker 3: some of this stuff. That can set the agenda for 125 00:06:21,160 --> 00:06:23,640 Speaker 3: the next three or four months leading into it into 126 00:06:23,640 --> 00:06:26,280 Speaker 3: a midterm where the American people can see, is there 127 00:06:26,320 --> 00:06:28,480 Speaker 3: a party that's fighting to try to lower your premiums 128 00:06:28,960 --> 00:06:31,559 Speaker 3: and what's the other party doing? And that's a choice. 129 00:06:31,560 --> 00:06:33,640 Speaker 3: I think Republicans would be comfortable with that. They can 130 00:06:33,680 --> 00:06:34,320 Speaker 3: prosecute it. 131 00:06:34,839 --> 00:06:36,600 Speaker 1: How do you feel about it? I mean, right now, 132 00:06:36,600 --> 00:06:38,760 Speaker 1: we're ten months away, and I don't think the economy 133 00:06:38,880 --> 00:06:42,960 Speaker 1: is really locked in until July, maybe June, before people 134 00:06:43,040 --> 00:06:45,839 Speaker 1: decide whether or not they're feeling better or worse. It 135 00:06:45,880 --> 00:06:49,440 Speaker 1: depends on gas, food prices, whether or not job hikes 136 00:06:49,440 --> 00:06:52,160 Speaker 1: are coming, and people are feeling full employed. Is that 137 00:06:52,200 --> 00:06:54,280 Speaker 1: when it locks in? You're the pros. Does it lock 138 00:06:54,320 --> 00:06:55,000 Speaker 1: in around June? 139 00:06:55,080 --> 00:06:57,520 Speaker 2: Yeah? No, you're exactly right. 140 00:06:57,520 --> 00:07:00,800 Speaker 3: I mean, historically speaking, where consumer comp evidence and your 141 00:07:00,880 --> 00:07:04,520 Speaker 3: overall feeling about the economy matters most is in late 142 00:07:04,600 --> 00:07:08,600 Speaker 3: June in early July, where midterm voters think, Okay, this 143 00:07:08,680 --> 00:07:12,400 Speaker 3: is what my current situation is. Am I shopping for 144 00:07:12,520 --> 00:07:15,720 Speaker 3: something different or not? So that gives Republicans a little 145 00:07:15,720 --> 00:07:17,800 Speaker 3: bit of time. I think it gives the president some 146 00:07:18,080 --> 00:07:20,960 Speaker 3: opportunity here over the first quarter in twenty twenty six 147 00:07:21,400 --> 00:07:23,680 Speaker 3: to continue to do some sort of deals. I'm not 148 00:07:23,720 --> 00:07:26,840 Speaker 3: in love with the tariff situation. But if it leads 149 00:07:26,880 --> 00:07:30,360 Speaker 3: to better deals for American workers and then lowering tariffs 150 00:07:30,400 --> 00:07:33,800 Speaker 3: overall to provide a better marketplace, I'm all for it. 151 00:07:33,920 --> 00:07:36,920 Speaker 2: And that opportunity is all in front of us. There's 152 00:07:36,920 --> 00:07:38,280 Speaker 2: no spilt milk here. 153 00:07:38,600 --> 00:07:41,320 Speaker 3: I think Republicans in the president the United States really 154 00:07:41,320 --> 00:07:44,440 Speaker 3: hold their own destiny in their hands about what they 155 00:07:44,440 --> 00:07:45,800 Speaker 3: do over the next six months. 156 00:07:46,040 --> 00:07:48,840 Speaker 1: It's a narrative war. This is why I love Rootless. 157 00:07:48,920 --> 00:07:51,720 Speaker 1: I want every youngster out there. You guys are setting 158 00:07:51,720 --> 00:07:54,600 Speaker 1: the narratives. But it is a narrative war. Our legacy 159 00:07:54,680 --> 00:07:58,080 Speaker 1: media people want us to think that, you know, everything 160 00:07:58,200 --> 00:08:01,080 Speaker 1: is terrible and allers gloom and nothing has worked, and 161 00:08:01,120 --> 00:08:03,720 Speaker 1: in fact, the three and a half percent growth this 162 00:08:03,840 --> 00:08:06,320 Speaker 1: year and gas prices are down. So how do you 163 00:08:06,360 --> 00:08:08,560 Speaker 1: win the narrative war? We got one minute? 164 00:08:08,640 --> 00:08:11,360 Speaker 3: Well, I mean, just just consider for a second that 165 00:08:11,400 --> 00:08:13,920 Speaker 3: we're having a discussion about the American healthcare system, of 166 00:08:13,960 --> 00:08:17,400 Speaker 3: which Democratic leaders say, what is Trump doing about this? 167 00:08:17,560 --> 00:08:18,000 Speaker 2: I don't know. 168 00:08:18,240 --> 00:08:21,440 Speaker 3: You built the thing, supercuse over the objections of every 169 00:08:21,560 --> 00:08:25,800 Speaker 3: single Republican that's breathing air in this country. And then 170 00:08:25,800 --> 00:08:28,200 Speaker 3: they look at the economy five years after ruining it, 171 00:08:28,400 --> 00:08:31,760 Speaker 3: injecting six trillion dollars into this economy, and then they 172 00:08:31,800 --> 00:08:34,360 Speaker 3: turn around, they're like, holy smokes, what's with all these inflation? 173 00:08:34,640 --> 00:08:36,680 Speaker 3: By the way, prices are a little high. How about 174 00:08:36,720 --> 00:08:41,040 Speaker 3: we talk about affordability? Ah, you got a level set 175 00:08:41,080 --> 00:08:43,280 Speaker 3: at some point if you're Republicans, I hope that's what 176 00:08:43,320 --> 00:08:43,720 Speaker 3: they do. 177 00:08:44,360 --> 00:08:46,559 Speaker 1: That's what they do at Ruthless. That's why it's got 178 00:08:46,600 --> 00:08:49,360 Speaker 1: to be on your podcast list. Send it spent, get 179 00:08:49,360 --> 00:08:51,920 Speaker 1: a go out next to the Salvation Army people and 180 00:08:51,960 --> 00:08:55,480 Speaker 1: bring a bell for Rootless podcast homes. Josh on X 181 00:08:55,600 --> 00:08:57,480 Speaker 1: follow them. Thank you, Josh. I'll be right back on 182 00:08:57,520 --> 00:09:01,000 Speaker 1: the new here at job. Welcome back, America, I'm here 183 00:09:01,080 --> 00:09:04,560 Speaker 1: you att joined by David M. Drucker of The Dispatch. 184 00:09:04,760 --> 00:09:08,160 Speaker 1: Hello David, how are you great? Hugh? 185 00:09:08,200 --> 00:09:08,560 Speaker 4: How are you? 186 00:09:09,080 --> 00:09:12,200 Speaker 1: I'm I'm hot. I started this show very hot because 187 00:09:12,200 --> 00:09:16,480 Speaker 1: I got between the time of vond Die Beach and 188 00:09:16,679 --> 00:09:19,440 Speaker 1: the anti Semitic attack on the subway to New York 189 00:09:19,520 --> 00:09:23,000 Speaker 1: last night. I've kind of decided Americans have to stand 190 00:09:23,120 --> 00:09:26,920 Speaker 1: up or shut up, and I'm one of those stand ups. 191 00:09:26,960 --> 00:09:30,080 Speaker 1: Do you think that Americans are serious about anti Semitism. 192 00:09:30,160 --> 00:09:32,200 Speaker 1: Do they have any idea to escape the scope and 193 00:09:32,240 --> 00:09:33,400 Speaker 1: the scale of the problem. 194 00:09:35,040 --> 00:09:38,360 Speaker 4: I don't know, because some do, but some don't. And 195 00:09:38,400 --> 00:09:41,640 Speaker 4: this is now both a right and left problem. This 196 00:09:41,800 --> 00:09:44,600 Speaker 4: is not only on the right, it's not only on 197 00:09:44,640 --> 00:09:48,560 Speaker 4: the left, and there is an internal debate going on 198 00:09:49,280 --> 00:09:51,520 Speaker 4: in both parties. Just to look at the political parties 199 00:09:51,559 --> 00:09:54,480 Speaker 4: for a minute about whether or not anti Semitism is 200 00:09:54,480 --> 00:09:56,400 Speaker 4: a problem or even should be a problem, depending on 201 00:09:56,440 --> 00:09:59,040 Speaker 4: who you talk to. And then I think, you know, 202 00:09:59,800 --> 00:10:03,640 Speaker 4: just for rank abile voters, for Americans out there living 203 00:10:03,679 --> 00:10:07,040 Speaker 4: their lives, I think it's just a matter of whether 204 00:10:07,160 --> 00:10:09,360 Speaker 4: or not you're exposed to it, whether or not, you know, 205 00:10:09,400 --> 00:10:12,160 Speaker 4: you follow the news a lot, because you know, in 206 00:10:12,240 --> 00:10:15,760 Speaker 4: my lifetime, right I'm fifty four and I am Jewish. 207 00:10:16,240 --> 00:10:18,440 Speaker 4: You know, for most of my lifetime, you didn't really 208 00:10:18,600 --> 00:10:20,480 Speaker 4: have to worry about. 209 00:10:20,280 --> 00:10:22,120 Speaker 1: Anti semitism in the United States. 210 00:10:22,440 --> 00:10:25,560 Speaker 4: You didn't have to deal with it. Really, this is 211 00:10:25,600 --> 00:10:28,840 Speaker 4: a sort of problem that has grown over the last 212 00:10:28,880 --> 00:10:31,840 Speaker 4: five to ten years. First, you know, real slow around 213 00:10:33,480 --> 00:10:37,160 Speaker 4: along the edges, on the fringes, and now it's it's 214 00:10:37,200 --> 00:10:42,000 Speaker 4: a problem that definitely needs to be confronted and addressed yeah. 215 00:10:42,080 --> 00:10:46,240 Speaker 1: Yeah. I divided time into pre nine to eleven and 216 00:10:46,280 --> 00:10:49,320 Speaker 1: then nine to eleven to ten seven is oh, that's 217 00:10:49,360 --> 00:10:53,520 Speaker 1: a radical Islamist Al Qaeda isis problem that has to 218 00:10:53,559 --> 00:10:56,680 Speaker 1: be fought, and then after ten seven it's an anti 219 00:10:56,800 --> 00:11:01,040 Speaker 1: Israel spot problem. And then after Bondai be each and 220 00:11:01,160 --> 00:11:04,360 Speaker 1: the ridiculous attacks all over the United States, from Tree 221 00:11:04,360 --> 00:11:06,880 Speaker 1: of Life Synagogue which is the right wing attack, to 222 00:11:07,040 --> 00:11:10,640 Speaker 1: last night on the subways in New York, a couple 223 00:11:10,679 --> 00:11:15,880 Speaker 1: of Habad kids adults actually beat up or assaulted by people. 224 00:11:15,920 --> 00:11:19,640 Speaker 1: And I think it's a virus. I think it's getting worse. 225 00:11:19,679 --> 00:11:22,520 Speaker 1: And I went through the chronology of Germany, which was 226 00:11:22,559 --> 00:11:26,520 Speaker 1: a very enlightened country until minecom came out in twenty five. 227 00:11:26,679 --> 00:11:30,200 Speaker 1: Hitler comes in in thirty three, Crystal Knox thirty eight. 228 00:11:30,559 --> 00:11:33,520 Speaker 1: The first death camp opens up in nineteen forty one. 229 00:11:34,200 --> 00:11:39,240 Speaker 1: I think we underestimate anti Semitism at our peril. Yeah. 230 00:11:39,280 --> 00:11:39,640 Speaker 2: I agree. 231 00:11:39,720 --> 00:11:45,120 Speaker 4: Look, it's the oldest mind virus in human history, possibly, 232 00:11:45,800 --> 00:11:52,120 Speaker 4: and being educated and enlightened is no vaccine against having 233 00:11:52,120 --> 00:11:57,280 Speaker 4: anti Semitic views. I've met plenty of educated people and 234 00:11:57,640 --> 00:12:01,600 Speaker 4: read plenty of educated intellectuals right and left, and they 235 00:12:01,600 --> 00:12:04,880 Speaker 4: can all be afflicted with this, and I don't have 236 00:12:05,000 --> 00:12:07,800 Speaker 4: us you know, if we had figured out why this 237 00:12:07,920 --> 00:12:12,240 Speaker 4: happens and where it comes from in a way that 238 00:12:12,280 --> 00:12:14,440 Speaker 4: would allow us to stamp it out, of course, we 239 00:12:14,760 --> 00:12:16,280 Speaker 4: might have done that a long time ago. I think 240 00:12:16,320 --> 00:12:18,200 Speaker 4: part of the danger to here, Hugh, and we've seen 241 00:12:18,200 --> 00:12:20,439 Speaker 4: this in human history, is they always come for the 242 00:12:20,520 --> 00:12:25,160 Speaker 4: Jews first, but they never stop with the Jews, right, right, So, 243 00:12:25,800 --> 00:12:29,640 Speaker 4: if you believe in you know, you know, small liberal 244 00:12:29,679 --> 00:12:34,559 Speaker 4: American values, if you believe in a country where Christians 245 00:12:34,559 --> 00:12:37,840 Speaker 4: are free to worship as they see see fit, regardless 246 00:12:37,840 --> 00:12:41,360 Speaker 4: of denomination, this never ends with just the Jews. They 247 00:12:41,400 --> 00:12:45,439 Speaker 4: always come after everybody else. If you're not religious, and 248 00:12:46,000 --> 00:12:50,240 Speaker 4: you know you're whatever, you're ethnic or racial persuasion is, 249 00:12:50,600 --> 00:12:53,600 Speaker 4: whatever your sexual orientation, it never ends with the Jews. 250 00:12:54,040 --> 00:12:59,520 Speaker 4: And it makes society less free and real, real problematic, 251 00:12:59,559 --> 00:13:01,559 Speaker 4: and it's all so a real problem for us as 252 00:13:01,559 --> 00:13:05,160 Speaker 4: we try and lead the world, you know, with our 253 00:13:05,240 --> 00:13:09,360 Speaker 4: moral authority, if we're going to end up the deviled 254 00:13:09,360 --> 00:13:12,360 Speaker 4: by this problem once again, and maybe in some ways 255 00:13:12,400 --> 00:13:15,960 Speaker 4: worse worse than it was before, just given what we 256 00:13:16,000 --> 00:13:17,480 Speaker 4: should know by now. 257 00:13:17,840 --> 00:13:20,680 Speaker 1: Yeah, I got a letter an email from Harvard yesterday. 258 00:13:20,720 --> 00:13:23,600 Speaker 1: They sent them to everyone in the Harvard community and 259 00:13:23,640 --> 00:13:27,360 Speaker 1: it said we're recommended to fighting anti Semitism and anti 260 00:13:27,480 --> 00:13:31,000 Speaker 1: Arab discrimination. And I said, there you have it. There's 261 00:13:31,040 --> 00:13:34,040 Speaker 1: the problem. There is anti semitism at Harvard. There is 262 00:13:34,080 --> 00:13:37,720 Speaker 1: no anti Arab discrimination at Harvard. There isn't any And 263 00:13:38,040 --> 00:13:40,840 Speaker 1: that is a dilution of the problem. To dilute the 264 00:13:40,880 --> 00:13:43,240 Speaker 1: problem is to make it less pressing. So if I 265 00:13:43,280 --> 00:13:46,640 Speaker 1: had a practical tip, I use this in my monologue, 266 00:13:46,640 --> 00:13:50,000 Speaker 1: say did you ever read The Wings of Warren Warren Remembrance? 267 00:13:50,040 --> 00:13:53,320 Speaker 1: They became bad television series, but they were very good books. 268 00:13:54,760 --> 00:13:57,160 Speaker 4: Never read the I never read the books. Did see 269 00:13:57,280 --> 00:13:59,200 Speaker 4: years ago the bad television series? 270 00:13:59,240 --> 00:14:02,720 Speaker 1: Each of them, Well, I think junior high kids would 271 00:14:02,720 --> 00:14:05,400 Speaker 1: actually eat them up because there are thrillers in the introduced. 272 00:14:05,840 --> 00:14:08,200 Speaker 1: I mean, you've got FDR and you've got Stalin, and 273 00:14:08,240 --> 00:14:11,440 Speaker 1: you've got Churchill, and you've got pag Henry, and you've 274 00:14:11,480 --> 00:14:14,680 Speaker 1: got Aaron Jastro and Natalie. You've got a great plot. 275 00:14:15,640 --> 00:14:18,920 Speaker 1: I think we've got to teach people history. I really 276 00:14:19,080 --> 00:14:21,400 Speaker 1: just think it's the death of history in America has 277 00:14:21,440 --> 00:14:26,080 Speaker 1: made us very, very compromised. Im, you know, compromise to 278 00:14:26,160 --> 00:14:27,200 Speaker 1: anti Semitism. 279 00:14:27,680 --> 00:14:31,760 Speaker 4: Disagree, Yeah, look, no I don't disagree, and in particular 280 00:14:31,800 --> 00:14:35,160 Speaker 4: because the greatest generation is almost gone, right, So the 281 00:14:35,200 --> 00:14:38,600 Speaker 4: people that lived through World War Two, the people quite 282 00:14:38,600 --> 00:14:41,200 Speaker 4: frankly you that lived through the Cold War, and remember 283 00:14:41,280 --> 00:14:43,680 Speaker 4: what it was like to live in a world where 284 00:14:43,840 --> 00:14:46,960 Speaker 4: the Soviet Union existed and we were in a constant 285 00:14:47,080 --> 00:14:51,320 Speaker 4: struggle for freedom and trying to hold off you know, 286 00:14:51,440 --> 00:14:53,920 Speaker 4: nuclear annihilation, which you know, as a kid, I never 287 00:14:53,960 --> 00:14:56,520 Speaker 4: worried too much about, per se because I didn't think 288 00:14:56,560 --> 00:15:00,640 Speaker 4: the Russians or the Soviets, you know, wanted to come suicide. 289 00:15:00,680 --> 00:15:02,880 Speaker 4: But my point is, you know, when I talk to 290 00:15:03,200 --> 00:15:07,640 Speaker 4: younger voters today, meaning anybody born after the end of 291 00:15:07,640 --> 00:15:09,800 Speaker 4: the Cold War, as far as I'm concerned, and that 292 00:15:09,840 --> 00:15:12,040 Speaker 4: makes you young, and that means that you live in 293 00:15:12,040 --> 00:15:15,320 Speaker 4: a different world than I did. There's just no conception 294 00:15:15,920 --> 00:15:18,760 Speaker 4: of what that world was like of living in a 295 00:15:18,800 --> 00:15:22,920 Speaker 4: world with the United States isn't the unrivaled power on Earth, 296 00:15:23,280 --> 00:15:27,960 Speaker 4: and what it takes to maintain a scenario in which 297 00:15:28,760 --> 00:15:31,160 Speaker 4: we can defeat any enemy, even if it's going to 298 00:15:31,200 --> 00:15:34,040 Speaker 4: cost us, and where we're strong enough where they don't 299 00:15:34,040 --> 00:15:36,880 Speaker 4: want to challenge as anyway what that kind of investment takes, 300 00:15:37,080 --> 00:15:40,040 Speaker 4: but what the economic benefits are. People think that they 301 00:15:40,040 --> 00:15:42,760 Speaker 4: can have their cake and eat it too because they 302 00:15:42,760 --> 00:15:45,520 Speaker 4: haven't lived through it. That's a huge problem when you 303 00:15:45,560 --> 00:15:49,440 Speaker 4: couple it with the fact, as you mentioned, that the 304 00:15:49,560 --> 00:15:53,200 Speaker 4: education of history and Civics in our schools is generally 305 00:15:53,360 --> 00:15:55,840 Speaker 4: horrible because there's so much focus on math and science, 306 00:15:55,880 --> 00:15:59,520 Speaker 4: and understandably so in some sense, but this is some 307 00:15:59,560 --> 00:16:02,960 Speaker 4: of the the byproduct of that which is negative. 308 00:16:04,240 --> 00:16:06,640 Speaker 1: It does begin in the elementary school, in the junior 309 00:16:06,720 --> 00:16:10,520 Speaker 1: high and I think yesterday it's too late to get started. 310 00:16:10,640 --> 00:16:13,320 Speaker 1: David M. Drucker on X Thank you David from the 311 00:16:13,400 --> 00:16:15,680 Speaker 1: Dispatch all. It's a pleasure to see you. Don't go 312 00:16:15,720 --> 00:16:18,120 Speaker 1: anywhere America. I'll be right back on the Here Hewitt Show. 313 00:16:18,320 --> 00:16:21,000 Speaker 1: I'm joined by Brett Bear, host of Special Report. You 314 00:16:21,040 --> 00:16:23,160 Speaker 1: can watch it every night Monday through Friday at six 315 00:16:23,240 --> 00:16:26,240 Speaker 1: pm on the Fox News Channel. Brett, I know you 316 00:16:26,280 --> 00:16:31,840 Speaker 1: covered Bondai yesterday. Last night on New York there was 317 00:16:31,880 --> 00:16:35,680 Speaker 1: an incident on the subway where to a bad Knicks. 318 00:16:35,800 --> 00:16:39,240 Speaker 1: They're called a bad Knicks. We're attacked by Ani semits. 319 00:16:39,480 --> 00:16:41,280 Speaker 1: Have you seen that video yet. 320 00:16:42,440 --> 00:16:44,600 Speaker 5: I have not. Somebody passed it on, but I have 321 00:16:44,680 --> 00:16:45,200 Speaker 5: not seen it. 322 00:16:46,240 --> 00:16:48,120 Speaker 1: Do you think it's a matter of time until we 323 00:16:48,160 --> 00:16:50,960 Speaker 1: have a Bondai beach somewhere here in the United States 324 00:16:51,000 --> 00:16:53,160 Speaker 1: where someone opens fire and a bunch of Jews. 325 00:16:54,200 --> 00:16:55,360 Speaker 5: I think it's very possible. 326 00:16:55,440 --> 00:16:55,520 Speaker 4: You. 327 00:16:55,680 --> 00:16:59,160 Speaker 5: I think we're seeing that kind of mandate, sort of 328 00:16:59,160 --> 00:17:05,200 Speaker 5: a jihad coming from some corners, clearly ISIS and ISIS related, 329 00:17:05,280 --> 00:17:11,959 Speaker 5: but also homegrown factions that have antisemitic or you know, 330 00:17:12,080 --> 00:17:14,440 Speaker 5: terrorist goals. And I think it's very possible. 331 00:17:15,080 --> 00:17:17,480 Speaker 1: I think it's spreading. And I look at that Brown 332 00:17:17,560 --> 00:17:21,520 Speaker 1: shooting and it gets curiouser and curiouser. I've been in 333 00:17:21,520 --> 00:17:23,800 Speaker 1: this business a long time, some of you, have you 334 00:17:23,840 --> 00:17:27,320 Speaker 1: ever seen a mass shooter not captured within forty eight hours? 335 00:17:29,240 --> 00:17:33,720 Speaker 5: Luigi MANGIONI was within forty eight hours, but not right away, 336 00:17:34,480 --> 00:17:38,159 Speaker 5: I think, And that was just one the shooting in 337 00:17:38,240 --> 00:17:38,680 Speaker 5: New York. 338 00:17:38,800 --> 00:17:40,280 Speaker 1: But Brian Hughes, Yeah. 339 00:17:40,760 --> 00:17:43,199 Speaker 5: Yeah, I don't think so, Hugh. I was trying to 340 00:17:43,240 --> 00:17:46,280 Speaker 5: think back. I mean, there have been man hunts, obviously 341 00:17:46,320 --> 00:17:50,880 Speaker 5: the Boston bomber, but it ended quickly within twenty four hours. 342 00:17:52,600 --> 00:17:55,720 Speaker 5: I agree. I think it's very strange. We're going to 343 00:17:55,800 --> 00:17:59,960 Speaker 5: get a news conference at five pm Eastern time, Will 344 00:18:00,119 --> 00:18:02,320 Speaker 5: Will It's probably going to be our lead a special 345 00:18:02,359 --> 00:18:05,439 Speaker 5: report to see what exactly is going on. You know, 346 00:18:05,440 --> 00:18:08,520 Speaker 5: the fact that authorities could say, listen, there's nothing to 347 00:18:08,600 --> 00:18:12,200 Speaker 5: fear here, but no, we don't have any information about 348 00:18:12,240 --> 00:18:16,280 Speaker 5: where this person is is a little bit of a dichotomy. 349 00:18:16,480 --> 00:18:19,320 Speaker 1: To my knowledge, they have not closed the campus. Now 350 00:18:19,359 --> 00:18:20,960 Speaker 1: it's been a long time since I was on a 351 00:18:21,000 --> 00:18:24,680 Speaker 1: college campus, but as a student, but there were a 352 00:18:24,760 --> 00:18:27,040 Speaker 1: lot of places to hide on a college campus and 353 00:18:27,080 --> 00:18:30,760 Speaker 1: they haven't closed down Brown. And obviously the killer could 354 00:18:30,800 --> 00:18:33,840 Speaker 1: be anywhere and he shouted something. Has there been any 355 00:18:33,880 --> 00:18:35,160 Speaker 1: news on what he shouted? 356 00:18:36,240 --> 00:18:40,119 Speaker 5: There have been anecdotal student saying ah out bar, but 357 00:18:41,320 --> 00:18:43,360 Speaker 5: you know, we haven't got that nailed down, and authorities 358 00:18:43,359 --> 00:18:46,280 Speaker 5: haven't confirmed then, so it's a little frustrating. The whole 359 00:18:46,280 --> 00:18:50,280 Speaker 5: investigation is kind of we haven't seen anything like this either. 360 00:18:50,760 --> 00:18:52,840 Speaker 1: No, I agree. Let me move to the next question, 361 00:18:53,280 --> 00:18:56,399 Speaker 1: Republicans and healthcare. I've got centaer Thun on the program tomorrow, 362 00:18:56,400 --> 00:18:59,160 Speaker 1: and I'm going to compliment him for doing nothing, because 363 00:18:59,280 --> 00:19:01,720 Speaker 1: I think anyone who rushes to try and fix American 364 00:19:01,800 --> 00:19:04,560 Speaker 1: healthcare is out of their mind. What do you who wins, 365 00:19:04,560 --> 00:19:07,800 Speaker 1: if anyone wins out of this paralysis over healthcare. 366 00:19:09,920 --> 00:19:14,359 Speaker 5: I think it's a great question. I think that you know, 367 00:19:14,440 --> 00:19:18,440 Speaker 5: the average American does not win because premium premium costs 368 00:19:18,520 --> 00:19:22,359 Speaker 5: do go up. And it's not Democratic, Republican or independent, 369 00:19:22,520 --> 00:19:25,879 Speaker 5: it's everybody who feels it. So they've got to get 370 00:19:25,920 --> 00:19:29,399 Speaker 5: to a solution. The problem is is that they're running 371 00:19:29,400 --> 00:19:32,280 Speaker 5: out of time. And this is always the case as they, 372 00:19:32,800 --> 00:19:35,200 Speaker 5: you know, go against some kind of fiscal cliff or another. 373 00:19:35,320 --> 00:19:37,639 Speaker 5: By the way, I have some this son on tomorrow 374 00:19:37,880 --> 00:19:40,199 Speaker 5: especial report as well, so it's it must be a 375 00:19:40,320 --> 00:19:41,399 Speaker 5: tune a throng. 376 00:19:44,280 --> 00:19:47,840 Speaker 1: Very well done. He's making the rounds and checking it twice. 377 00:19:48,040 --> 00:19:50,639 Speaker 1: I think he's had a very good year. I give 378 00:19:50,720 --> 00:19:52,480 Speaker 1: him an A for his first year as a leader. 379 00:19:52,480 --> 00:19:53,640 Speaker 1: How do you grade him? 380 00:19:54,400 --> 00:19:57,080 Speaker 5: Yeah, listen, he's dealt with a lot of things. I 381 00:19:57,119 --> 00:20:00,679 Speaker 5: think there were big issues that he we did some 382 00:20:00,800 --> 00:20:03,800 Speaker 5: of the big problems. I think there are some people 383 00:20:03,800 --> 00:20:06,879 Speaker 5: in the caucus that wish other big pieces of legislation 384 00:20:06,920 --> 00:20:10,920 Speaker 5: could have gotten through, and so I want to talk 385 00:20:10,920 --> 00:20:13,320 Speaker 5: to him about all of that, and then you know fullcast, 386 00:20:13,440 --> 00:20:16,399 Speaker 5: what's twenty six and what does that look like? You know, 387 00:20:16,520 --> 00:20:19,120 Speaker 5: you talk to the economic people. They think that Q 388 00:20:19,200 --> 00:20:22,360 Speaker 5: one Q two has a lot of steam behind it. 389 00:20:22,600 --> 00:20:28,320 Speaker 5: At least the sprouts are growing. And how the Senate 390 00:20:28,359 --> 00:20:30,240 Speaker 5: and the House deal with it, and if there's another 391 00:20:30,280 --> 00:20:33,359 Speaker 5: reconciliation build. There's all kinds of things that I'd like 392 00:20:33,400 --> 00:20:34,520 Speaker 5: to get into a center too. 393 00:20:35,119 --> 00:20:37,240 Speaker 1: I have David Sachs coming up an hour at three. 394 00:20:37,320 --> 00:20:40,760 Speaker 1: He's the president zar on AI and the presidents are 395 00:20:40,800 --> 00:20:43,320 Speaker 1: on Crypto. I won't touch crypto because I don't understand 396 00:20:43,320 --> 00:20:45,800 Speaker 1: it at all, but I understand a little bit about AI. 397 00:20:45,840 --> 00:20:47,880 Speaker 1: I'm going to ask him about it. And they put 398 00:20:47,920 --> 00:20:51,000 Speaker 1: this EO out there, and I'm hoping that the Congress 399 00:20:51,040 --> 00:20:53,840 Speaker 1: backs him up with preemption. We'll see. Let me ask 400 00:20:53,880 --> 00:20:57,920 Speaker 1: you about President Trump has announced a speech for Tomorrowmi Brett, 401 00:20:58,280 --> 00:21:00,600 Speaker 1: what do you guess it is Zeuela. 402 00:21:02,400 --> 00:21:05,639 Speaker 5: I think it's probably a year ender that is going 403 00:21:05,720 --> 00:21:10,480 Speaker 5: to touch all the highlights, including what's happening in Venezuela. 404 00:21:11,960 --> 00:21:15,920 Speaker 5: I think it sounded at the way Caroline Levit described 405 00:21:15,920 --> 00:21:19,280 Speaker 5: it as kind of a hit all the bases kind 406 00:21:19,280 --> 00:21:23,160 Speaker 5: of speech. But I'll be listening for the future of Venezuela. 407 00:21:24,320 --> 00:21:27,320 Speaker 5: You know where we are on the China negotiations. 408 00:21:28,240 --> 00:21:28,919 Speaker 2: A lot of. 409 00:21:29,160 --> 00:21:31,639 Speaker 5: Different points that I think it might be a kitchen 410 00:21:31,680 --> 00:21:33,440 Speaker 5: sink kind of speech at the end of the year. 411 00:21:33,760 --> 00:21:37,840 Speaker 1: Now, George H. W. Bush invaded Panama on December fifteenth 412 00:21:38,160 --> 00:21:41,240 Speaker 1: of nineteen eighty nine, so I'm wondering there's some symmetry there. 413 00:21:41,280 --> 00:21:43,840 Speaker 1: I'll be looking for that. Finally, Brett, I want to 414 00:21:43,880 --> 00:21:46,080 Speaker 1: ask you about I have only read half of the 415 00:21:46,160 --> 00:21:51,800 Speaker 1: Suzy Wilds profile in Vanity Fair. Now. Years ago Nick Layman, 416 00:21:51,920 --> 00:21:54,440 Speaker 1: who is the dean of the Columbia School of Journalism 417 00:21:54,440 --> 00:21:55,919 Speaker 1: and a writer for The New york Er, called me 418 00:21:56,000 --> 00:21:57,919 Speaker 1: up and asked me, can I do a profile on you? 419 00:21:58,440 --> 00:22:00,480 Speaker 1: And I said no? And I said, way do I 420 00:22:00,480 --> 00:22:02,159 Speaker 1: if I can do a profile of you for the 421 00:22:02,160 --> 00:22:05,240 Speaker 1: Weekly Standard And we have doing profiles, I agree mutually 422 00:22:05,240 --> 00:22:08,679 Speaker 1: assured destruction. That worked. Would you ever agree to a 423 00:22:08,680 --> 00:22:10,280 Speaker 1: profile by Vanity Fair. 424 00:22:12,280 --> 00:22:13,800 Speaker 5: I would like to do it like you did it. 425 00:22:14,080 --> 00:22:17,159 Speaker 5: I think, I think, I think that that is a 426 00:22:17,160 --> 00:22:20,000 Speaker 5: good way to do it. But listen, you know, it's 427 00:22:20,040 --> 00:22:23,359 Speaker 5: sort of like the Bob Woodward twelve interviews. You know, 428 00:22:24,480 --> 00:22:27,159 Speaker 5: there's all kinds of things that happen that either are 429 00:22:27,200 --> 00:22:31,520 Speaker 5: taken out of context or you know, you really didn't 430 00:22:31,560 --> 00:22:34,639 Speaker 5: know that that was the focus. But if you're going 431 00:22:34,720 --> 00:22:37,680 Speaker 5: to do it, it's an open book. And so you know, 432 00:22:37,720 --> 00:22:39,639 Speaker 5: when when the White House is pushing back on some 433 00:22:39,680 --> 00:22:43,720 Speaker 5: of these sentences, you know they're quotes. I think I 434 00:22:43,760 --> 00:22:46,000 Speaker 5: don't think anything's going to hurt Susie Wilds. I think 435 00:22:46,040 --> 00:22:49,760 Speaker 5: she has great standing in the President's eyes no matter. 436 00:22:49,520 --> 00:22:50,159 Speaker 6: What she says. 437 00:22:50,760 --> 00:22:53,119 Speaker 5: I think he believes that she is the one that 438 00:22:53,240 --> 00:22:57,000 Speaker 5: is keeping the trains on time. So you know, andany 439 00:22:57,040 --> 00:22:59,919 Speaker 5: fair I've read the whole thing, but I'm telling you 440 00:23:00,480 --> 00:23:02,600 Speaker 5: she's not going to be in trouble. I'm not sure 441 00:23:02,600 --> 00:23:03,600 Speaker 5: I would do it, though. 442 00:23:04,359 --> 00:23:07,600 Speaker 1: I think she's superwoman. I hope she's not going anywhere. 443 00:23:07,680 --> 00:23:11,960 Speaker 1: But no one walks away from those things the way 444 00:23:11,960 --> 00:23:14,080 Speaker 1: they think they're going to walk away from those things. 445 00:23:14,240 --> 00:23:18,200 Speaker 1: And I just am always amazed. Tim Alberta's got a skill, 446 00:23:18,320 --> 00:23:21,200 Speaker 1: a scalpel that he brings to those he does that occasionally. 447 00:23:21,240 --> 00:23:23,760 Speaker 1: John Bayner got away with it once with a Tim 448 00:23:23,800 --> 00:23:27,800 Speaker 1: Alberta profile. But generally, what's your advice to high profile 449 00:23:27,840 --> 00:23:29,320 Speaker 1: people in profiles? 450 00:23:32,240 --> 00:23:37,119 Speaker 5: Mega shorts, don't go for fifteen interviews, and you know, 451 00:23:37,320 --> 00:23:40,320 Speaker 5: accept whatever comes out of the back end because you 452 00:23:40,400 --> 00:23:43,320 Speaker 5: never know, You really never know, and they're always looking 453 00:23:43,320 --> 00:23:44,600 Speaker 5: for an angle in a headline. 454 00:23:44,880 --> 00:23:47,439 Speaker 1: Yeah, my view is runaway. Brett Behar will be watching 455 00:23:47,480 --> 00:23:50,600 Speaker 1: tonight at six. I appreciate the time tonight, be well, 456 00:23:50,680 --> 00:23:54,600 Speaker 1: my friend. Brett bear Tonight's special report every night Monday 457 00:23:54,600 --> 00:23:57,320 Speaker 1: through Friday at six pm. Larry mind all of you 458 00:23:57,440 --> 00:24:00,280 Speaker 1: that we are asking you to support Angel Tree. They 459 00:24:00,280 --> 00:24:02,280 Speaker 1: are a great sponsor of our show. Every year at 460 00:24:02,280 --> 00:24:05,400 Speaker 1: this time we implore the audience to dig as deep 461 00:24:05,440 --> 00:24:08,800 Speaker 1: as they can to help the Prison Fellowship Ministry Angel 462 00:24:08,840 --> 00:24:13,600 Speaker 1: Tree reach as many men and women behind bars as possible. 463 00:24:13,760 --> 00:24:17,879 Speaker 1: Their children, not them, We worry about their kids. There 464 00:24:17,880 --> 00:24:22,000 Speaker 1: are one and a half million children in America with 465 00:24:22,240 --> 00:24:25,520 Speaker 1: mom or dad, mostly dads, but some have moms, and 466 00:24:25,720 --> 00:24:28,639 Speaker 1: some people have both mom and dad mind bars, and 467 00:24:28,720 --> 00:24:31,879 Speaker 1: for them, Christmas isn't nearly as much fun as it 468 00:24:31,960 --> 00:24:34,160 Speaker 1: is if had both of your parents are at home. 469 00:24:34,960 --> 00:24:36,800 Speaker 1: If both your parents are at home, and the tree 470 00:24:36,840 --> 00:24:39,840 Speaker 1: is up, and Santa Claus is coming, and the Christmas 471 00:24:39,840 --> 00:24:41,680 Speaker 1: carols are on, and you have some snow and it's 472 00:24:41,680 --> 00:24:44,080 Speaker 1: not as cold as it is inside the Beltway. It's 473 00:24:44,119 --> 00:24:47,480 Speaker 1: a wonderful time of year. But if it isn't that, 474 00:24:48,080 --> 00:24:51,679 Speaker 1: then you really need the help of Angel Tree. You 475 00:24:51,720 --> 00:24:54,520 Speaker 1: make it possible with every donation of thirty dollars you make, 476 00:24:54,720 --> 00:24:57,920 Speaker 1: whether it's thirty, sixty, ninety thirty dollars to take care 477 00:24:57,920 --> 00:25:00,920 Speaker 1: of one kid. Our friend Jen Carol came through with 478 00:25:00,960 --> 00:25:03,800 Speaker 1: an enormous check to help one hundreds and hundred the kids. 479 00:25:03,880 --> 00:25:06,320 Speaker 1: Thank you for that. Others of you are invited to 480 00:25:06,359 --> 00:25:10,200 Speaker 1: do that. And whether it's ten dollars or a big 481 00:25:10,280 --> 00:25:14,159 Speaker 1: check like that, everything matters. The widows might matters. I 482 00:25:14,240 --> 00:25:16,320 Speaker 1: ask it just to be as generous as possible and 483 00:25:16,400 --> 00:25:18,920 Speaker 1: then come back for more. I'm not going anywhere. We 484 00:25:18,960 --> 00:25:20,800 Speaker 1: got Byron new York coming up in the next hour, 485 00:25:20,920 --> 00:25:25,920 Speaker 1: David Sachs, President Trump's Czar of AI. Right ahead here 486 00:25:25,920 --> 00:25:29,160 Speaker 1: on the Hugh Hewitt Check Quarterback America. I'm Hugh HEWITTT. 487 00:25:29,640 --> 00:25:32,600 Speaker 1: Byron new York is the chief correspondent for the Washington 488 00:25:32,640 --> 00:25:35,480 Speaker 1: Examiner and a weekly guest. Byron, how are you today? Cold? 489 00:25:35,520 --> 00:25:37,240 Speaker 1: I assume cold. 490 00:25:37,280 --> 00:25:39,159 Speaker 6: You're exactly right, but do it well? Thank you? 491 00:25:39,280 --> 00:25:41,000 Speaker 1: Okay, you meet both I want to talk to you 492 00:25:41,040 --> 00:25:46,400 Speaker 1: about three things. The Bondai Beach masker, the Brown University shooting, 493 00:25:47,040 --> 00:25:50,560 Speaker 1: and last night's New York subway assault on two habodic 494 00:25:51,240 --> 00:25:54,600 Speaker 1: Bodniks people from about who are put upon by anti 495 00:25:54,640 --> 00:25:58,280 Speaker 1: semits in the subway. Do they tie together in your mind? 496 00:26:00,960 --> 00:26:05,040 Speaker 6: Well, no, I'll be interested to hear. I mean, obviously, 497 00:26:05,720 --> 00:26:11,240 Speaker 6: the Bandai Beach thing is clearly the authorities there actually 498 00:26:11,760 --> 00:26:18,920 Speaker 6: knew that these shooters had connections to ices. They may 499 00:26:18,960 --> 00:26:21,560 Speaker 6: have known that they went off and trained for a 500 00:26:21,680 --> 00:26:28,440 Speaker 6: month beforehand, and even after that happens, even after, even 501 00:26:28,480 --> 00:26:33,280 Speaker 6: after the murders take place, the authorities talk about gun 502 00:26:33,280 --> 00:26:39,280 Speaker 6: control as if they couldn't have found these people and 503 00:26:39,280 --> 00:26:40,280 Speaker 6: and gotten rid of them. 504 00:26:40,640 --> 00:26:43,960 Speaker 1: Now, Byron, I'm I'm larry about what I read. I've 505 00:26:44,000 --> 00:26:47,600 Speaker 1: read there were only two policemen at the Hanika celebration. 506 00:26:48,080 --> 00:26:48,879 Speaker 1: Have you seen that? 507 00:26:49,760 --> 00:26:53,240 Speaker 6: Well, I have. I have seen that, and it's it's 508 00:26:53,320 --> 00:26:56,560 Speaker 6: it's hard actually to believe. I've seen about you know, 509 00:26:56,680 --> 00:26:59,760 Speaker 6: the lack of training and all of that of these 510 00:27:00,119 --> 00:27:04,959 Speaker 6: But I am not clear enough myself on exactly what 511 00:27:05,119 --> 00:27:08,920 Speaker 6: took place, you know, during the shooting, where police were 512 00:27:09,320 --> 00:27:11,800 Speaker 6: how long it took them from the first shot that 513 00:27:11,920 --> 00:27:15,840 Speaker 6: was fired, how long it took them to respond me. 514 00:27:16,119 --> 00:27:20,120 Speaker 1: Second subject I don't know is the Brown University massacre. 515 00:27:21,359 --> 00:27:24,560 Speaker 1: I asked Brett Barrett earlier. He said there are reports, 516 00:27:24,960 --> 00:27:28,480 Speaker 1: I'm confirmed, but reports that the words that were shouted 517 00:27:28,520 --> 00:27:32,879 Speaker 1: were alaa akbar. Have you read those reports as well? 518 00:27:33,600 --> 00:27:33,920 Speaker 1: I have. 519 00:27:34,560 --> 00:27:37,560 Speaker 6: I have the story right now, though, I have to 520 00:27:37,560 --> 00:27:44,160 Speaker 6: say with Brown is just about the authorities. And I mean, 521 00:27:44,840 --> 00:27:48,679 Speaker 6: this is a mask killer who goes in with a 522 00:27:48,760 --> 00:27:56,119 Speaker 6: long gun and shoots a bunch of people and gets away. 523 00:27:57,240 --> 00:28:00,560 Speaker 6: In addition, in a community that is apparently just jammed 524 00:28:00,600 --> 00:28:05,080 Speaker 6: with surveillance cameras in which he's alreadys can't produce any 525 00:28:05,560 --> 00:28:10,879 Speaker 6: really useful information. I think I think people have a 526 00:28:10,960 --> 00:28:13,720 Speaker 6: right to be really nervous Byron. 527 00:28:13,440 --> 00:28:16,639 Speaker 1: You know, in thirty five years in this business, and 528 00:28:16,840 --> 00:28:18,719 Speaker 1: you're not as long as the tooth of I am. 529 00:28:18,760 --> 00:28:22,520 Speaker 1: But I've been known for no mass killer has ever 530 00:28:22,640 --> 00:28:27,280 Speaker 1: evaded a rest for forty eight hours. It's never happened. 531 00:28:27,960 --> 00:28:33,600 Speaker 1: So this is a first time ever collapse of police incompetence. 532 00:28:34,080 --> 00:28:37,919 Speaker 1: And they won't tell us what he shouted. Why do 533 00:28:37,920 --> 00:28:42,560 Speaker 1: you think they won't tell us what he shouted. 534 00:28:42,040 --> 00:28:45,520 Speaker 6: Well, we don't know who he is, and we don't 535 00:28:45,560 --> 00:28:48,440 Speaker 6: know you know, we don't know anything about this. And 536 00:28:48,840 --> 00:28:52,000 Speaker 6: a long a killer who takes a long gun to 537 00:28:52,040 --> 00:28:55,720 Speaker 6: a mass shooting is probably not planning to get away. Yes, 538 00:28:55,760 --> 00:28:59,440 Speaker 6: and a lot of these are suicide missions with the 539 00:28:59,480 --> 00:29:03,440 Speaker 6: assumption that they will be shot by the police. Would 540 00:29:03,440 --> 00:29:09,760 Speaker 6: that that had happened, but it didn't, so it's really extraordinary. 541 00:29:09,880 --> 00:29:12,760 Speaker 1: The third event is last night. I don't know if 542 00:29:12,760 --> 00:29:15,800 Speaker 1: you've seen the video of the New York subway where 543 00:29:15,840 --> 00:29:20,400 Speaker 1: two members of the local Habad were assaulted and they 544 00:29:20,400 --> 00:29:24,640 Speaker 1: were battered. Assault is the imminent, unlawful permitted of touch, 545 00:29:26,360 --> 00:29:29,400 Speaker 1: unpermitted touching and battery at the actual grabbing of someone. 546 00:29:29,800 --> 00:29:32,000 Speaker 1: They managed to get off the subway without getting be 547 00:29:32,200 --> 00:29:35,800 Speaker 1: not but it was clearly antisemitic, and there was antisemitic talk. 548 00:29:36,400 --> 00:29:41,040 Speaker 1: So my question is, are we expecting an explosion of 549 00:29:41,080 --> 00:29:44,160 Speaker 1: anti Semitism even bigger than what we've been through since 550 00:29:44,240 --> 00:29:46,880 Speaker 1: ten seven in the United States? I mean, you can't 551 00:29:46,920 --> 00:29:50,200 Speaker 1: match ten seven in Israel. But do you think we 552 00:29:50,280 --> 00:29:52,480 Speaker 1: have a Bondai beach coming here? 553 00:29:53,800 --> 00:29:58,080 Speaker 6: Well, you clearly, you clearly have to worry about such 554 00:29:58,120 --> 00:30:02,960 Speaker 6: a thing. In part in part. You know, when you 555 00:30:03,040 --> 00:30:08,160 Speaker 6: look at the kind of anti Semitic incidents that you've 556 00:30:08,160 --> 00:30:12,280 Speaker 6: seen in the United States, a lot of it does 557 00:30:12,360 --> 00:30:18,400 Speaker 6: involve our immigration policies of letting in people without enough 558 00:30:18,440 --> 00:30:24,440 Speaker 6: betting from countries in which there's a lot of hatred 559 00:30:24,480 --> 00:30:31,760 Speaker 6: of views. There's the support for terrorism that and now 560 00:30:31,800 --> 00:30:34,760 Speaker 6: you have that in the United States and the elites. 561 00:30:35,200 --> 00:30:37,760 Speaker 1: I got a letter from Harvard yesterday went to everyone 562 00:30:37,920 --> 00:30:42,200 Speaker 1: I'm not special, announcing they're very pleased to extend Neil 563 00:30:42,240 --> 00:30:46,880 Speaker 1: Garber's presidency and that he remained down four paragraphs down, 564 00:30:47,000 --> 00:30:51,480 Speaker 1: he remains committed to finding anti semitism and anti Arab discrimination. 565 00:30:52,480 --> 00:30:56,120 Speaker 1: There is no anti Arab discrimination at Harvard Byron, there isn't. 566 00:30:56,560 --> 00:30:59,200 Speaker 1: What does that tell you about Harvard. Have they changed? 567 00:31:01,360 --> 00:31:05,400 Speaker 6: Well, they're certainly not interested in finding out evidence of 568 00:31:05,440 --> 00:31:10,560 Speaker 6: anti Semitism in their community. And the idea of equating 569 00:31:11,120 --> 00:31:16,640 Speaker 6: anti semitism with anti Arab activity is just an effort. 570 00:31:16,720 --> 00:31:17,600 Speaker 1: It's ludicrous. 571 00:31:18,320 --> 00:31:23,160 Speaker 6: It's ludicrous, confuse, confuse people, and muddle up the whole situation. 572 00:31:23,800 --> 00:31:27,240 Speaker 1: And that is the problem. And I think, what do 573 00:31:27,280 --> 00:31:29,920 Speaker 1: you expect the president to talk about tomorrow night? I 574 00:31:29,960 --> 00:31:33,560 Speaker 1: don't think he's announcing the invasion of Venezuela. If it is, 575 00:31:33,640 --> 00:31:37,880 Speaker 1: it's the least surprise invasion ever, although George HW. Bush 576 00:31:37,960 --> 00:31:40,560 Speaker 1: ordered the trips in on December fifteenth, nineteen eighty nine. 577 00:31:41,000 --> 00:31:42,640 Speaker 1: But what do you think he's going to talk about. 578 00:31:43,480 --> 00:31:44,960 Speaker 6: I think you're going to talk about what a great 579 00:31:45,040 --> 00:31:50,360 Speaker 6: job is administration has done on everything and prices, inflation, 580 00:31:50,520 --> 00:31:55,240 Speaker 6: affordability and sort of a year end progress report. 581 00:31:56,120 --> 00:31:59,600 Speaker 1: Good move, not a bad move. 582 00:32:00,480 --> 00:32:03,600 Speaker 6: I don't don't know how much effect it will have, 583 00:32:03,680 --> 00:32:06,800 Speaker 6: but I do I do think. You know, when he 584 00:32:07,240 --> 00:32:09,560 Speaker 6: when he gives the economy a grade of a plus 585 00:32:09,560 --> 00:32:14,160 Speaker 6: plus plus plus, I think it was five pluses. Uh, 586 00:32:14,880 --> 00:32:18,200 Speaker 6: that's something that a lot of people, you know, don't accept. 587 00:32:18,880 --> 00:32:19,080 Speaker 1: Uh. 588 00:32:19,160 --> 00:32:23,200 Speaker 6: They're not feeling it as opposed to just saying, look, 589 00:32:23,520 --> 00:32:25,480 Speaker 6: the rate of inflation is going down, but we know 590 00:32:25,600 --> 00:32:28,240 Speaker 6: that means prices are still going up, and that's not 591 00:32:29,040 --> 00:32:31,280 Speaker 6: good enough. And what we have to do is we 592 00:32:31,320 --> 00:32:34,680 Speaker 6: have to bring your wages up to where they are 593 00:32:35,360 --> 00:32:38,000 Speaker 6: outstripping a low level of inflation. 594 00:32:38,760 --> 00:32:43,080 Speaker 1: YEP. It depends entirely on what he says, and he 595 00:32:43,120 --> 00:32:46,480 Speaker 1: hasn't got the Bill Clinton, I feel your pain down 596 00:32:46,520 --> 00:32:49,400 Speaker 1: and he never will, but he's pretty good with everything 597 00:32:49,480 --> 00:32:53,760 Speaker 1: is great. Yeah, that's bad. That's not so good. Byron, 598 00:32:53,800 --> 00:32:56,400 Speaker 1: New York. Talk to you again next week if we're lucky. 599 00:32:56,520 --> 00:32:58,960 Speaker 1: Follow him on x at Byron York. Follow me in 600 00:32:59,000 --> 00:33:01,040 Speaker 1: the next segment of America on The Hugh Hewit Show. 601 00:33:01,200 --> 00:33:03,920 Speaker 1: According Laura and Edan Graces in America, I'm Hugh Hewitt. 602 00:33:03,960 --> 00:33:06,720 Speaker 1: Welcome to this chief day edition of the u Hewit Show. 603 00:33:06,800 --> 00:33:08,720 Speaker 1: A couple of weeks back in the green room over 604 00:33:08,760 --> 00:33:12,200 Speaker 1: at Fox, I met a young Congressman, Riley Moore from 605 00:33:12,200 --> 00:33:14,680 Speaker 1: West Virginia, the second district, or at least he seems 606 00:33:14,720 --> 00:33:16,880 Speaker 1: young to me. He's not that young, and we got 607 00:33:16,920 --> 00:33:19,040 Speaker 1: to talk at it. He's on approps. I would like 608 00:33:19,080 --> 00:33:22,320 Speaker 1: to talk to freshman on appropriations because that's a big deal. 609 00:33:22,840 --> 00:33:25,000 Speaker 1: And I don't know what happened, but Wan Sin's come on, 610 00:33:25,080 --> 00:33:27,480 Speaker 1: he got the magic one waved over him four years 611 00:33:27,480 --> 00:33:29,880 Speaker 1: ago and became a freshman on approaches and I talked 612 00:33:29,880 --> 00:33:31,840 Speaker 1: to Wan off, and so I wanted to talk to 613 00:33:31,920 --> 00:33:34,640 Speaker 1: Riley more day. Congressman. Welcome, Merry Christmas to you. How 614 00:33:34,680 --> 00:33:37,360 Speaker 1: you enjoyed DC in your first wrap up session? 615 00:33:39,200 --> 00:33:41,440 Speaker 7: Well, Merry Christmas to you. As well, Hugh. 616 00:33:41,680 --> 00:33:44,120 Speaker 8: And you know, it's a little bit of a rough 617 00:33:44,320 --> 00:33:47,400 Speaker 8: ride here today. Looks like a rules about to go 618 00:33:47,520 --> 00:33:51,200 Speaker 8: down as we're speaking, So it's gonna be hard to 619 00:33:51,200 --> 00:33:52,920 Speaker 8: move that healthcare. 620 00:33:53,080 --> 00:33:55,400 Speaker 7: Package forward that leadership has. 621 00:33:55,280 --> 00:33:57,600 Speaker 8: So but all in all i'd say is, in terms 622 00:33:57,640 --> 00:34:01,160 Speaker 8: of appropriations, I feel super optimi. I think we're going 623 00:34:01,200 --> 00:34:04,400 Speaker 8: to get, if not all of them, most of the 624 00:34:04,440 --> 00:34:09,040 Speaker 8: appropriations bills done, which is a feat in itself in 625 00:34:09,120 --> 00:34:12,520 Speaker 8: terms of re establishing regular order in this institution. 626 00:34:12,680 --> 00:34:13,719 Speaker 7: So happy about that. 627 00:34:14,440 --> 00:34:17,399 Speaker 1: I am very happy that the National Defense Authorization Act 628 00:34:17,400 --> 00:34:19,600 Speaker 1: looks like it's going to make its way through. And 629 00:34:19,680 --> 00:34:22,200 Speaker 1: I know over on the other side, Senator Collins's share 630 00:34:22,239 --> 00:34:26,040 Speaker 1: of appropriations, and I'm just curious, were you happy when 631 00:34:26,080 --> 00:34:28,320 Speaker 1: they gave you the big committee? I only thought Approach 632 00:34:28,440 --> 00:34:31,719 Speaker 1: was the most important committee. Although I know people like 633 00:34:31,800 --> 00:34:35,440 Speaker 1: to say there are three Democrats, Republican and appropriators. Do 634 00:34:35,480 --> 00:34:37,120 Speaker 1: you like being on appropriations? 635 00:34:38,400 --> 00:34:41,239 Speaker 8: I love being on appropriations, And you know, from my 636 00:34:41,360 --> 00:34:43,640 Speaker 8: state of West Virginia, we have a long. 637 00:34:43,520 --> 00:34:45,000 Speaker 7: History of appropriators here. 638 00:34:45,040 --> 00:34:48,160 Speaker 8: Certainly, I'm sure, as you know as a student of 639 00:34:48,200 --> 00:34:52,319 Speaker 8: this institution. So yeah, I mean, for me, that was 640 00:34:52,400 --> 00:34:54,440 Speaker 8: the only committee that I was angling for. 641 00:34:54,480 --> 00:34:56,040 Speaker 7: I wanted appropriations and. 642 00:34:56,120 --> 00:34:59,600 Speaker 8: Was blessed enough to get the High sign to serve 643 00:34:59,680 --> 00:35:00,480 Speaker 8: on that committee. 644 00:35:00,520 --> 00:35:02,759 Speaker 7: So yeah, I'm just thrilled to be able to be 645 00:35:02,800 --> 00:35:03,759 Speaker 7: on there now. 646 00:35:04,000 --> 00:35:07,319 Speaker 1: Ken the audience expect that there will be any kind 647 00:35:07,360 --> 00:35:10,080 Speaker 1: of a shutdown in January if you've got regular order 648 00:35:10,520 --> 00:35:12,480 Speaker 1: for all but one or two of the bills. If 649 00:35:12,480 --> 00:35:15,240 Speaker 1: there's a shutdown, it won't be for much of the government, right. 650 00:35:16,719 --> 00:35:19,439 Speaker 7: No, won And remember we've already passed. 651 00:35:19,120 --> 00:35:22,840 Speaker 8: Three bills, so you'd already just being a partial shutdown there. 652 00:35:23,200 --> 00:35:26,000 Speaker 8: I don't see any resistance at all as it relates 653 00:35:26,040 --> 00:35:27,239 Speaker 8: to getting defense done. 654 00:35:27,280 --> 00:35:29,160 Speaker 7: And when you do defense, you always. 655 00:35:28,880 --> 00:35:32,480 Speaker 8: Couple labor h labor HHS with that bill as well, 656 00:35:32,520 --> 00:35:34,120 Speaker 8: So I think we're clear there. But I think what 657 00:35:34,160 --> 00:35:37,640 Speaker 8: you're going to see next is a three pack of 658 00:35:37,640 --> 00:35:40,600 Speaker 8: appropriations bills coming back over from the Senate that be 659 00:35:40,719 --> 00:35:47,320 Speaker 8: Energy and Water, Interior, and Commerce, Justice, Science, and then 660 00:35:47,800 --> 00:35:52,080 Speaker 8: I think towards the end of this cr you'll see 661 00:35:52,440 --> 00:35:57,000 Speaker 8: defense and labor hhs get passed. But I think you're 662 00:35:57,000 --> 00:36:00,640 Speaker 8: going to have upwards of eighty five percent of the 663 00:36:00,800 --> 00:36:05,640 Speaker 8: discretionary budget passed. I think I wouldn't say easily, but 664 00:36:06,080 --> 00:36:09,520 Speaker 8: feeling confident about getting that done, and then right you'd 665 00:36:09,600 --> 00:36:12,760 Speaker 8: end up cring maybe two of the bill's Homeland Security. 666 00:36:12,800 --> 00:36:16,279 Speaker 8: You got to think, look, we got Homeland Security one 667 00:36:16,360 --> 00:36:20,440 Speaker 8: hundred and seventy five billion dollars in reconciliation. Maybe perhaps 668 00:36:20,480 --> 00:36:23,719 Speaker 8: the juice isn't worth the squeeze on conferencing that bill 669 00:36:24,680 --> 00:36:27,120 Speaker 8: since we were able to get them fund through reconciliation 670 00:36:27,280 --> 00:36:27,800 Speaker 8: of the one. 671 00:36:27,680 --> 00:36:28,520 Speaker 7: Big beautiful bill. 672 00:36:29,160 --> 00:36:31,279 Speaker 8: But I'm hopeful we get all twelve done, I am, 673 00:36:31,320 --> 00:36:34,520 Speaker 8: and that we are working towards that. The speakers talked 674 00:36:34,520 --> 00:36:37,360 Speaker 8: about that, Chairman Tom Cole has talked about that, and 675 00:36:37,400 --> 00:36:40,600 Speaker 8: so Susan Collins. So I am very optimistic and hopeful 676 00:36:40,640 --> 00:36:42,920 Speaker 8: that we are able to actually at all twelve of 677 00:36:42,920 --> 00:36:45,320 Speaker 8: these bills done, which would be just marvelous. 678 00:36:45,640 --> 00:36:49,919 Speaker 1: Now, I don't want to conflate your Christmas spirit, Congressman more, 679 00:36:49,920 --> 00:36:51,720 Speaker 1: but I've been doing this show for twenty five years, 680 00:36:51,719 --> 00:36:54,040 Speaker 1: and you may be peaking in your freshman year. In 681 00:36:54,120 --> 00:36:57,480 Speaker 1: terms of regular order, it doesn't normally go this smoothly, 682 00:36:57,800 --> 00:37:00,080 Speaker 1: but so you might want to write down what it 683 00:37:00,120 --> 00:37:02,399 Speaker 1: feels like to actually get it done before I come 684 00:37:02,440 --> 00:37:05,239 Speaker 1: back to the Republican Healthcare Bill. I wanted to talk 685 00:37:05,239 --> 00:37:07,440 Speaker 1: to you about something I talk with Governor Morrissey about. 686 00:37:07,920 --> 00:37:10,400 Speaker 1: You know, the FEDS are trying to move the FBI 687 00:37:10,520 --> 00:37:12,799 Speaker 1: across the street to the Reagan Building because the old 688 00:37:12,960 --> 00:37:16,040 Speaker 1: Hoover Building is the ugliest building in town. I talked 689 00:37:16,040 --> 00:37:19,120 Speaker 1: to your aunt about this, and she said, no, we 690 00:37:19,200 --> 00:37:20,920 Speaker 1: think I ought to go on that bill. And I 691 00:37:20,960 --> 00:37:22,920 Speaker 1: talked to your governor, Governor Morrissey, and I said, why 692 00:37:22,920 --> 00:37:24,719 Speaker 1: don't you send it out and give it a campus 693 00:37:24,840 --> 00:37:28,480 Speaker 1: where you're from? Harper's Crossing? What do we call that, 694 00:37:28,560 --> 00:37:31,560 Speaker 1: Harper's Ford, Harpers Ferry. Why don't we give Why don't 695 00:37:31,560 --> 00:37:33,680 Speaker 1: we give it a campus in West Virginia? What do 696 00:37:33,719 --> 00:37:35,719 Speaker 1: you think about that? It seemed like a crazy thing 697 00:37:35,719 --> 00:37:36,880 Speaker 1: to move it across the street. 698 00:37:38,080 --> 00:37:40,239 Speaker 7: Now I'm totally into that. And see, here's the thing. 699 00:37:41,120 --> 00:37:43,520 Speaker 8: Why does the FBI headquarters have to be in Washington, 700 00:37:43,560 --> 00:37:43,719 Speaker 8: d C. 701 00:37:43,960 --> 00:37:44,040 Speaker 5: Right? 702 00:37:44,080 --> 00:37:44,840 Speaker 7: It actually doesn't. 703 00:37:45,000 --> 00:37:48,560 Speaker 8: I mean, you know you have the number two headquarters 704 00:37:48,680 --> 00:37:53,000 Speaker 8: of it is in Alabama, right, But the actual headquarters 705 00:37:53,120 --> 00:37:54,120 Speaker 8: of the FBI. 706 00:37:53,880 --> 00:37:54,799 Speaker 7: It doesn't need to be there. 707 00:37:54,880 --> 00:37:59,160 Speaker 8: And I think the more government entities we get out 708 00:37:59,200 --> 00:38:03,040 Speaker 8: of here act into real America, I think the better 709 00:38:03,120 --> 00:38:05,319 Speaker 8: off we're all going to be, So I'm definitely for that. 710 00:38:05,880 --> 00:38:08,279 Speaker 8: If somehow somebody could do that, I'll vote for it 711 00:38:08,360 --> 00:38:11,879 Speaker 8: every day of the week, if that's possible. To move 712 00:38:11,920 --> 00:38:13,760 Speaker 8: the FBI headquarters to West Virginia. 713 00:38:14,200 --> 00:38:18,000 Speaker 1: Now, I have a manager over at Salem who drives 714 00:38:18,040 --> 00:38:20,719 Speaker 1: in every day from Harper's Ferry every single day. It's 715 00:38:20,760 --> 00:38:22,719 Speaker 1: not a bad community. Do you do that or do 716 00:38:22,760 --> 00:38:24,120 Speaker 1: you stay in town overnight? 717 00:38:25,840 --> 00:38:29,200 Speaker 8: Well, it just depends what's going on here. So tonight 718 00:38:29,400 --> 00:38:31,160 Speaker 8: I will go home. I want to see my kids. 719 00:38:31,200 --> 00:38:34,560 Speaker 8: I got three kids, seven, five, and three, and I'm 720 00:38:34,600 --> 00:38:37,759 Speaker 8: trying to balance doing this job and being a father 721 00:38:37,840 --> 00:38:41,000 Speaker 8: and a husband. So I go back as much as 722 00:38:41,000 --> 00:38:43,360 Speaker 8: I can now once we're in markup season. As it 723 00:38:43,400 --> 00:38:46,680 Speaker 8: relates to appropriations, I you know, many nights I stay here, 724 00:38:46,680 --> 00:38:48,879 Speaker 8: and I stayed here last night, So it just kind 725 00:38:48,880 --> 00:38:52,000 Speaker 8: of depends on the schedule and what's going on. Still 726 00:38:52,040 --> 00:38:54,120 Speaker 8: doing my job, but then also being able to see 727 00:38:54,160 --> 00:38:57,120 Speaker 8: my family in the evening as well or in the morning. 728 00:38:57,080 --> 00:38:59,319 Speaker 7: When I get up very early. To come back down here. 729 00:39:00,120 --> 00:39:01,960 Speaker 1: That makes a lot of sense to me. All of 730 00:39:02,000 --> 00:39:04,680 Speaker 1: my friends for the ten i've been back for ten years, 731 00:39:04,680 --> 00:39:06,640 Speaker 1: but for the thirty years I lived in California and 732 00:39:06,680 --> 00:39:09,239 Speaker 1: they would fly back and forth. That was really a 733 00:39:09,400 --> 00:39:11,960 Speaker 1: nightmare for a congressman on the West coast. Here's where 734 00:39:11,960 --> 00:39:13,960 Speaker 1: I want to finish. I don't think we're going to 735 00:39:13,960 --> 00:39:16,239 Speaker 1: get anything down on healthcare. I don't know if you'll 736 00:39:16,239 --> 00:39:17,879 Speaker 1: get anting out of the House. Maybe it will, it's 737 00:39:17,920 --> 00:39:19,480 Speaker 1: not going to get out of the Senate. I don't 738 00:39:19,480 --> 00:39:22,160 Speaker 1: know why we're going through all these shenanigans, and I 739 00:39:22,320 --> 00:39:25,440 Speaker 1: want to see the actual price hikes that will impact 740 00:39:25,440 --> 00:39:27,960 Speaker 1: the twenty percent of Americans that are in the state 741 00:39:28,000 --> 00:39:30,839 Speaker 1: exchanges before we decide on what to do. Why are 742 00:39:30,880 --> 00:39:34,280 Speaker 1: Democrats in such a scream and hurry to get past 743 00:39:35,360 --> 00:39:38,600 Speaker 1: the artificial deadline that they built into the law. Did 744 00:39:38,640 --> 00:39:40,960 Speaker 1: anyone explain it to you, why we must get something 745 00:39:41,040 --> 00:39:41,840 Speaker 1: done right now? 746 00:39:43,680 --> 00:39:46,359 Speaker 8: Well, they're using this artificial deadline to bludge in the 747 00:39:46,400 --> 00:39:50,120 Speaker 8: Republican Party with misinformation about this and the unfortunate thing 748 00:39:50,200 --> 00:39:54,600 Speaker 8: they've been able to intertwine the idea of extending the 749 00:39:54,880 --> 00:40:00,359 Speaker 8: COVID era subsidies for Obamacare with everybody's premiums go up. 750 00:40:00,760 --> 00:40:02,160 Speaker 7: That's not correct at all. 751 00:40:02,400 --> 00:40:06,640 Speaker 8: We could tomorrow vote to extend these covid Ara subsidies, 752 00:40:07,000 --> 00:40:10,239 Speaker 8: and that's not going to affect everybody else's premiums at all. 753 00:40:10,320 --> 00:40:11,440 Speaker 8: If they're going up, they're going. 754 00:40:11,440 --> 00:40:11,920 Speaker 7: To go up. 755 00:40:12,000 --> 00:40:15,520 Speaker 8: So the people need to disentangle those ideas from each other. 756 00:40:15,640 --> 00:40:19,160 Speaker 8: What we're trying to do, in a more holistic sense 757 00:40:19,400 --> 00:40:22,200 Speaker 8: is lower everybody's premiums in this country. Why are we 758 00:40:22,239 --> 00:40:25,000 Speaker 8: focused on the one point six million people that would 759 00:40:25,000 --> 00:40:27,480 Speaker 8: be affected by the covid air of subsidies being extended. 760 00:40:27,600 --> 00:40:30,360 Speaker 8: How about everybody's healthcare is getting more expensive. It's harder 761 00:40:30,400 --> 00:40:32,520 Speaker 8: out here for everybody, and we have to handle this 762 00:40:32,800 --> 00:40:35,759 Speaker 8: in a manner that's fair to everybody. Else creates more, 763 00:40:36,120 --> 00:40:39,560 Speaker 8: creates more affordability, but also portability for people to be 764 00:40:39,560 --> 00:40:40,440 Speaker 8: able to choose. 765 00:40:40,160 --> 00:40:41,720 Speaker 7: What healthcare plans are best for them. 766 00:40:42,200 --> 00:40:44,560 Speaker 1: I think that'll let you do some of the messaging. 767 00:40:44,960 --> 00:40:48,600 Speaker 1: Riley More, Congressman Rilly More, freshman from West Virginia second District, 768 00:40:48,920 --> 00:40:51,640 Speaker 1: thank you, Merry Christmas, to safe driving home tonight, if 769 00:40:51,640 --> 00:40:53,960 Speaker 1: it's indeed tonight or tomorrow. 770 00:40:55,120 --> 00:40:57,759 Speaker 7: Thanks so much you God bless you, Merry Christmas, and. 771 00:40:57,800 --> 00:41:02,880 Speaker 1: To you welcome back in America. I'm Hugh HEWITTT, so 772 00:41:03,000 --> 00:41:06,480 Speaker 1: please to welcome back to the program, David Sachs. David 773 00:41:06,719 --> 00:41:10,200 Speaker 1: is the chair of the President's Council of Advisors on 774 00:41:10,320 --> 00:41:15,040 Speaker 1: Science and Technology. He's the AI and cryptos are. He's 775 00:41:15,080 --> 00:41:17,839 Speaker 1: actually a doublesar, which is really something I haven't heard 776 00:41:17,880 --> 00:41:20,120 Speaker 1: of before. There's ours all over DC. But he said, 777 00:41:20,120 --> 00:41:22,400 Speaker 1: doubles are David, Are you the only doubles are you 778 00:41:22,440 --> 00:41:25,719 Speaker 1: know of? As far as I know, yes, I guess 779 00:41:25,760 --> 00:41:27,560 Speaker 1: that's right to you. Good to see you again. It's 780 00:41:27,560 --> 00:41:29,480 Speaker 1: good to see you again, and thank you for spending 781 00:41:29,520 --> 00:41:32,040 Speaker 1: time with me. I want to remind people before we start, 782 00:41:32,520 --> 00:41:35,640 Speaker 1: David went to Stanford. He's a Chicago lawyer, so he 783 00:41:35,680 --> 00:41:37,480 Speaker 1: knows what he's talking about on the law. He's one 784 00:41:37,480 --> 00:41:39,640 Speaker 1: of the original pay Pal Mafia. He's been on the 785 00:41:39,640 --> 00:41:42,239 Speaker 1: show before, he's on the All In podcast, so it's 786 00:41:42,239 --> 00:41:44,960 Speaker 1: a smart guy Alert David. I want to remind you 787 00:41:45,040 --> 00:41:47,280 Speaker 1: we're talking to Steelers fans, so we've got to slow 788 00:41:47,360 --> 00:41:52,040 Speaker 1: everything down. First question is out of the box. When 789 00:41:52,080 --> 00:41:55,480 Speaker 1: Oppenheimer blew up the bomb, he turned to his friends 790 00:41:55,520 --> 00:41:58,640 Speaker 1: and said, now I have become Death, the destroyer of worlds. 791 00:41:59,000 --> 00:42:01,520 Speaker 1: Have you had that fee all a feeling come over you? 792 00:42:01,600 --> 00:42:04,040 Speaker 1: As you deal with AI as the White House are. 793 00:42:04,040 --> 00:42:11,000 Speaker 9: Yet well, Hugh, I'm personally not that worried that AI 794 00:42:11,160 --> 00:42:15,440 Speaker 9: is going to be this catastrophic technology. I understand that 795 00:42:15,480 --> 00:42:17,840 Speaker 9: a lot of people are afraid of it, and in fact, 796 00:42:18,200 --> 00:42:20,799 Speaker 9: for the last couple of years, you've heard this analogy 797 00:42:21,440 --> 00:42:24,360 Speaker 9: that AI is like nuclear weapons. I think that analogy 798 00:42:24,480 --> 00:42:28,680 Speaker 9: is highly overstretched. And the reason I say that is because, 799 00:42:28,719 --> 00:42:30,040 Speaker 9: first and foremost, AI is. 800 00:42:30,040 --> 00:42:31,279 Speaker 1: A consumer technology. 801 00:42:31,800 --> 00:42:34,600 Speaker 9: The best AI models are the ones that you can 802 00:42:34,640 --> 00:42:37,480 Speaker 9: get as a consumer, you know, whether it's Chat, GPT 803 00:42:37,800 --> 00:42:41,240 Speaker 9: or grock or the new Gemini model which is available 804 00:42:41,440 --> 00:42:45,319 Speaker 9: on Google Search. You know, the best AI models are 805 00:42:45,320 --> 00:42:48,440 Speaker 9: ones that you can use for yourself. And so every 806 00:42:48,600 --> 00:42:51,680 Speaker 9: consumer is going to have a powerful AI model in 807 00:42:51,719 --> 00:42:53,880 Speaker 9: their pocket on their phone. Every business is going to 808 00:42:53,920 --> 00:42:56,520 Speaker 9: use this technology, and I do think that makes it 809 00:42:56,600 --> 00:43:01,520 Speaker 9: quite different than nuclear weapons, although certainly there is you know, 810 00:43:01,560 --> 00:43:05,359 Speaker 9: a potential dual use there that that AI is a 811 00:43:05,360 --> 00:43:09,640 Speaker 9: technology that can be used for military purposes, you know, 812 00:43:09,800 --> 00:43:12,520 Speaker 9: and I certainly acknowledge that, but I think it's also, 813 00:43:12,960 --> 00:43:15,879 Speaker 9: like I said, a very powerful consumer technology, and that 814 00:43:15,920 --> 00:43:18,080 Speaker 9: does make it quite different than something like nukes. 815 00:43:18,440 --> 00:43:20,360 Speaker 1: Well, a few years ago a few days ago, I 816 00:43:20,400 --> 00:43:23,640 Speaker 1: was on the Special Report panel and was asked by 817 00:43:23,680 --> 00:43:28,320 Speaker 1: Brett my opinion of the President's AI EO, and I said, 818 00:43:28,360 --> 00:43:30,200 Speaker 1: I'm all in favor of it because there is no 819 00:43:30,360 --> 00:43:33,359 Speaker 1: silver medal in AI. There's only a gold medal, and 820 00:43:33,400 --> 00:43:35,879 Speaker 1: we have to win it. China can't win it so 821 00:43:36,040 --> 00:43:40,520 Speaker 1: because it has national security ramifications that are immense and 822 00:43:40,600 --> 00:43:43,800 Speaker 1: consumer ramifications that are amants, but mostly naturally, we can't 823 00:43:43,840 --> 00:43:45,160 Speaker 1: afford to come in second. 824 00:43:45,760 --> 00:43:49,359 Speaker 9: Was that a fair statement. Yes, yes, I think it is. 825 00:43:49,520 --> 00:43:51,759 Speaker 9: I mean, I think we completely agree on this view. 826 00:43:51,880 --> 00:43:55,680 Speaker 9: We are in an AI race. It's a global competition, 827 00:43:55,960 --> 00:43:59,480 Speaker 9: and at the national level, our main competitor is China. 828 00:43:59,640 --> 00:44:04,160 Speaker 9: The only other country that has the talent, the technology, 829 00:44:04,280 --> 00:44:06,520 Speaker 9: the expertise to potentially beat us. 830 00:44:06,560 --> 00:44:07,840 Speaker 1: I don't think they will. 831 00:44:07,880 --> 00:44:09,880 Speaker 9: If we do the right things, or keep doing the 832 00:44:09,960 --> 00:44:13,319 Speaker 9: right things under the President's leadership, we are ahead in 833 00:44:13,360 --> 00:44:14,080 Speaker 9: the AI race. 834 00:44:14,160 --> 00:44:14,719 Speaker 1: But it is. 835 00:44:14,640 --> 00:44:18,480 Speaker 9: Definitely a competition. It's going to have major infications for 836 00:44:18,520 --> 00:44:22,080 Speaker 9: our economy and for our national security, and it's definitely 837 00:44:22,280 --> 00:44:24,319 Speaker 9: a competition we want to win. And that's where you 838 00:44:24,320 --> 00:44:26,080 Speaker 9: and I are completely aligned on this. 839 00:44:26,200 --> 00:44:29,440 Speaker 1: You so the thing we need and explain to people 840 00:44:29,600 --> 00:44:33,040 Speaker 1: is why can't we catch up once we fall behind? 841 00:44:33,560 --> 00:44:37,840 Speaker 1: Is there an exponential sort of growth and advantage that 842 00:44:37,920 --> 00:44:41,239 Speaker 1: occurs to whoever makes the breakthroughs an AI first. 843 00:44:43,080 --> 00:44:46,160 Speaker 9: Well, that's possible, but I think we just don't want 844 00:44:46,200 --> 00:44:48,200 Speaker 9: to fall behind, because once you do, it's hard to 845 00:44:48,239 --> 00:44:51,879 Speaker 9: catch up. I mean, there are motes that get established 846 00:44:51,880 --> 00:44:56,319 Speaker 9: in whether they're business modes or their research and development breakthroughs. 847 00:44:56,520 --> 00:44:58,279 Speaker 9: It's definitely the kind of thing where you don't want 848 00:44:58,280 --> 00:45:01,960 Speaker 9: to fall behind. Another reason why you don't want to 849 00:45:02,000 --> 00:45:05,160 Speaker 9: fall behind is that in technology races, what we see 850 00:45:05,800 --> 00:45:08,600 Speaker 9: is that the companies or the technologies that build the 851 00:45:08,600 --> 00:45:11,960 Speaker 9: biggest ecosystems are the ones that win. And this is 852 00:45:12,000 --> 00:45:15,360 Speaker 9: why you know our leading technology companies want to do 853 00:45:15,400 --> 00:45:20,160 Speaker 9: things like have app stores or build platforms. Is because 854 00:45:20,160 --> 00:45:22,040 Speaker 9: if you get the most apps in your app store, 855 00:45:22,600 --> 00:45:24,680 Speaker 9: or you get the most developers riding on top of 856 00:45:24,719 --> 00:45:27,759 Speaker 9: your platform, then that creates powerful lock in and we 857 00:45:27,760 --> 00:45:30,520 Speaker 9: don't want to get in the situation or behind China 858 00:45:30,960 --> 00:45:33,320 Speaker 9: in those areas, and they build the biggest ecosystem and 859 00:45:33,360 --> 00:45:36,560 Speaker 9: then the whole world will be using Chinese technology instead 860 00:45:36,600 --> 00:45:40,440 Speaker 9: of American technology, and then it'll be Chinese values that 861 00:45:40,480 --> 00:45:43,000 Speaker 9: are spreading across the world to seven American values, and 862 00:45:43,000 --> 00:45:45,799 Speaker 9: that's definitely a situation we don't want now. As soon 863 00:45:45,800 --> 00:45:48,640 Speaker 9: as I made my Sweepee endorsement, I guess it was Taisha, 864 00:45:48,719 --> 00:45:52,200 Speaker 9: not Brett. Phil Wegman over at Real Clear Politics chimed in, 865 00:45:52,520 --> 00:45:55,320 Speaker 9: then why are we allowing them to buy and Video's 866 00:45:55,440 --> 00:45:58,400 Speaker 9: last generation of chips, to which my only answer is 867 00:45:58,520 --> 00:46:02,279 Speaker 9: they're not that good compared to Gemma whatever. Blackwell it 868 00:46:02,320 --> 00:46:04,719 Speaker 9: comes up, Why are we allowing them to buy the 869 00:46:04,800 --> 00:46:08,240 Speaker 9: last generation as opposed to Blackwell? 870 00:46:08,480 --> 00:46:09,799 Speaker 1: I think that's a fair question, Hugh. 871 00:46:09,840 --> 00:46:11,799 Speaker 9: I mean, here's the way that we see it is 872 00:46:11,840 --> 00:46:14,919 Speaker 9: that the American policy, and this is bipartisan, it goes 873 00:46:14,960 --> 00:46:18,880 Speaker 9: back into the Biden administration, is that China is not 874 00:46:18,960 --> 00:46:21,359 Speaker 9: allowed to buy our leading edge chips, but they are 875 00:46:21,400 --> 00:46:24,680 Speaker 9: allowed to buy our lagging chips. The H two hundred 876 00:46:24,760 --> 00:46:26,680 Speaker 9: chip that you're talking about, and before that, the H 877 00:46:26,760 --> 00:46:30,000 Speaker 9: twenty chip, it is not a leading its chip. It 878 00:46:30,040 --> 00:46:32,759 Speaker 9: may have once been a leading edge chip, but it 879 00:46:32,800 --> 00:46:35,120 Speaker 9: is now a lagging chip. And the reason why you're 880 00:46:35,160 --> 00:46:38,080 Speaker 9: willing to sell them lagging chips is because it takes 881 00:46:38,160 --> 00:46:42,399 Speaker 9: market share away from their national champion Whawei, and that's 882 00:46:42,440 --> 00:46:45,680 Speaker 9: important because it deprives Wawei of revenue that they can 883 00:46:45,760 --> 00:46:48,120 Speaker 9: use to then scale up. And also there's a very 884 00:46:48,160 --> 00:46:51,360 Speaker 9: important developer network effect built on top of these chips. 885 00:46:51,360 --> 00:46:54,200 Speaker 9: So it's not just about the chips, it's about the 886 00:46:54,239 --> 00:46:56,960 Speaker 9: software that's running on top of the chips. And Vidia 887 00:46:57,040 --> 00:46:59,400 Speaker 9: has this operating system called Kuda. There's a bunch of 888 00:47:00,120 --> 00:47:06,200 Speaker 9: developer toolkits, toolchains and libraries that run on top of Kuda. 889 00:47:06,760 --> 00:47:11,240 Speaker 9: And if you deprive China and so if you allow 890 00:47:11,400 --> 00:47:15,680 Speaker 9: China to use the old generation of Nvidia chips and 891 00:47:15,719 --> 00:47:18,960 Speaker 9: at least you keep them dependent on that software ecosystem, 892 00:47:19,160 --> 00:47:23,560 Speaker 9: China has several hundred thousand AI developers and they would 893 00:47:23,640 --> 00:47:26,319 Speaker 9: rather use the Nvidia ecosystem and stay on Nvidia. But 894 00:47:26,320 --> 00:47:29,200 Speaker 9: if you force them onto the Wahwei ecosystem, then they 895 00:47:29,200 --> 00:47:32,239 Speaker 9: will start writing software for the Huawei stack, and that 896 00:47:32,280 --> 00:47:33,879 Speaker 9: would be something that's undesirable. 897 00:47:33,960 --> 00:47:35,760 Speaker 1: So we think there's. 898 00:47:35,520 --> 00:47:39,280 Speaker 9: Some value in maintaining a Chinese dependency on the previous 899 00:47:39,320 --> 00:47:43,240 Speaker 9: generation of chips. Now, for that very reason, the Chinese government, 900 00:47:43,239 --> 00:47:45,120 Speaker 9: according to an article in the Financial Times, is saying 901 00:47:45,120 --> 00:47:46,759 Speaker 9: they're not going to allow the Nvidia. 902 00:47:46,480 --> 00:47:47,040 Speaker 1: Chips in there. 903 00:47:47,120 --> 00:47:49,799 Speaker 9: So I think that Chinese government sees the same thing 904 00:47:49,920 --> 00:47:53,920 Speaker 9: that we do, which is they want to be semiconductor independent, 905 00:47:54,000 --> 00:47:56,480 Speaker 9: the same way hu that we wanted to be energy 906 00:47:56,520 --> 00:47:57,600 Speaker 9: independent as a nation. 907 00:47:58,040 --> 00:47:58,640 Speaker 1: They want to be. 908 00:47:58,640 --> 00:48:02,400 Speaker 9: Semiconductor independent, saying they're not going to allow those Nvidia 909 00:48:02,480 --> 00:48:06,040 Speaker 9: chips in because they want to prop up and boost 910 00:48:06,080 --> 00:48:07,080 Speaker 9: up Huawei. 911 00:48:07,120 --> 00:48:08,360 Speaker 1: They're national champions. 912 00:48:08,360 --> 00:48:10,920 Speaker 9: So this is you know, this is a case where 913 00:48:11,000 --> 00:48:12,759 Speaker 9: I think that there's always going to be room for 914 00:48:12,800 --> 00:48:16,080 Speaker 9: disagreement because there's that you know, where exactly we draw 915 00:48:16,120 --> 00:48:18,960 Speaker 9: that line between leading and lagging chips is always going 916 00:48:19,000 --> 00:48:20,480 Speaker 9: to be up for debate. But it looks to me 917 00:48:20,640 --> 00:48:23,319 Speaker 9: like right now the Chinese government's not going to allow 918 00:48:23,360 --> 00:48:25,839 Speaker 9: in our chips because they want to be independent. 919 00:48:26,480 --> 00:48:29,000 Speaker 1: If they don't allow in the old chips, that is 920 00:48:29,040 --> 00:48:31,920 Speaker 1: a that is a complete answer to the argument that 921 00:48:31,960 --> 00:48:34,759 Speaker 1: Philip put forward, because then the indigenous they want to 922 00:48:34,760 --> 00:48:36,160 Speaker 1: grow their indigenous. 923 00:48:35,719 --> 00:48:39,279 Speaker 9: Chip yes sector, There's no question they want to indigenize. 924 00:48:39,360 --> 00:48:41,879 Speaker 9: They definitely want to indigenize their their chips sector. There's 925 00:48:41,880 --> 00:48:44,759 Speaker 9: no question about it. Now let me just he and 926 00:48:45,000 --> 00:48:45,560 Speaker 9: just just here. 927 00:48:45,480 --> 00:48:47,799 Speaker 1: One just one last thought on this is that China is. 928 00:48:47,760 --> 00:48:50,160 Speaker 9: The second largest market in the world for chips. So 929 00:48:50,840 --> 00:48:54,120 Speaker 9: if China is able to indigenize and they give that 930 00:48:54,200 --> 00:48:58,560 Speaker 9: market exclusively to Whahwei, Whuawei will use that to then 931 00:48:58,640 --> 00:49:01,879 Speaker 9: scale up a chief critical mass and then they will 932 00:49:01,920 --> 00:49:04,880 Speaker 9: then export chips at low cost all over the world. 933 00:49:04,960 --> 00:49:07,680 Speaker 9: So that is basically their strategy. And again, if we 934 00:49:07,719 --> 00:49:10,319 Speaker 9: can take share away from Whahwei and slow them down 935 00:49:10,360 --> 00:49:13,040 Speaker 9: from doing that, then that's a worthwhile pursuit. So that 936 00:49:13,480 --> 00:49:15,880 Speaker 9: is the thinking. But I think that the Chinese government 937 00:49:15,920 --> 00:49:18,399 Speaker 9: sees the same thing we do, and that's why they 938 00:49:18,520 --> 00:49:22,400 Speaker 9: are essentially giving this huge market subsidy to Huawei. 939 00:49:22,920 --> 00:49:24,959 Speaker 1: That makes perfect sense to me. I'm coming right back 940 00:49:24,960 --> 00:49:27,840 Speaker 1: with David Sacks, you chair of the president Council of 941 00:49:27,960 --> 00:49:31,600 Speaker 1: Advisors on Science and Technology. He's the AI crypto guru. 942 00:49:31,680 --> 00:49:34,480 Speaker 1: The deal will ha to Guru. Don't go anywhere in America. 943 00:49:34,520 --> 00:49:37,120 Speaker 1: I'll be right back with David Sacks after the break. 944 00:49:42,440 --> 00:49:45,480 Speaker 1: Welcome back in America. I'm Hugh Hewitt, back with David Sacks, 945 00:49:45,520 --> 00:49:49,080 Speaker 1: who's the chair of the President's Council on Advisors on 946 00:49:49,160 --> 00:49:53,000 Speaker 1: Science and Technology. David one market question. I'm not a 947 00:49:53,040 --> 00:49:55,120 Speaker 1: market guy. I don't give market advice. But I read 948 00:49:55,120 --> 00:49:58,040 Speaker 1: the journal in the Financial Times. Is there an AI bubble? 949 00:49:58,080 --> 00:50:00,360 Speaker 1: In your view? Are we going to see a rapid 950 00:50:00,400 --> 00:50:06,279 Speaker 1: deflation and value in some sectors in the AI? What realm? 951 00:50:06,560 --> 00:50:07,759 Speaker 1: I don't think there's a bubble, Hue. 952 00:50:07,800 --> 00:50:10,120 Speaker 9: I would say that there's a lot of volatility because 953 00:50:10,120 --> 00:50:14,080 Speaker 9: anytime you're underwriting to a very big outcome in the future, 954 00:50:14,320 --> 00:50:17,000 Speaker 9: and we're talking about investments that are being made on 955 00:50:17,600 --> 00:50:20,320 Speaker 9: a five to ten year timeframe, there's gonna be a 956 00:50:20,320 --> 00:50:23,800 Speaker 9: lot of volatility in that. But one important indicator here 957 00:50:24,080 --> 00:50:27,160 Speaker 9: is that all of the GPUs that are being bought 958 00:50:27,280 --> 00:50:29,680 Speaker 9: and run in data centers are being used. I mean, 959 00:50:29,840 --> 00:50:34,080 Speaker 9: there is tremendous demand for this type of computing processing power. 960 00:50:34,640 --> 00:50:36,560 Speaker 9: That makes it a little different than the dot com bubble. 961 00:50:36,560 --> 00:50:38,480 Speaker 9: If you go back to the late nineties and we 962 00:50:38,520 --> 00:50:41,040 Speaker 9: had this big fiber build out, there was a lot 963 00:50:41,080 --> 00:50:43,839 Speaker 9: of what was called dark fiber back then, where again, 964 00:50:43,880 --> 00:50:47,279 Speaker 9: these huge investments are being made that weren't being used yet. 965 00:50:47,320 --> 00:50:50,240 Speaker 9: Now eventually all that fiber got used, but people realized 966 00:50:50,239 --> 00:50:52,279 Speaker 9: in the year two thousand that the fiber wasn't being 967 00:50:52,320 --> 00:50:54,320 Speaker 9: used and we had a big crash. In this case, 968 00:50:54,640 --> 00:50:58,000 Speaker 9: all the GPUs are being used, so there's tremendous end 969 00:50:58,040 --> 00:50:59,960 Speaker 9: user demand for these services. 970 00:51:00,640 --> 00:51:02,879 Speaker 1: Now I want to thank you for one thing. You're 971 00:51:02,880 --> 00:51:07,439 Speaker 1: a very successful investor, innovator, entrepreneur, and lawyer, and you've 972 00:51:07,480 --> 00:51:09,799 Speaker 1: agreed to go back to d C. How do you 973 00:51:09,960 --> 00:51:15,000 Speaker 1: find the DC bureaucracy compared to the Silicon Valley entrepreneurial 974 00:51:15,000 --> 00:51:16,400 Speaker 1: investing environment. 975 00:51:18,600 --> 00:51:20,640 Speaker 9: Well, it's a big culture clash. I mean, these are 976 00:51:20,640 --> 00:51:25,560 Speaker 9: two very very different cultures. Silicon Valley obviously moves very quickly. 977 00:51:25,640 --> 00:51:29,400 Speaker 9: There's tremendous competition there. Companies perceive that they're in a 978 00:51:29,520 --> 00:51:33,319 Speaker 9: race for survival a lot of the time, and they 979 00:51:33,480 --> 00:51:37,319 Speaker 9: just move very quickly. And there's also a mentality that again, 980 00:51:37,400 --> 00:51:38,960 Speaker 9: like I mentioned before, you want to build the big, 981 00:51:39,000 --> 00:51:42,600 Speaker 9: biggest tech ecosystem, so there is a partner mentality. You 982 00:51:42,640 --> 00:51:46,480 Speaker 9: want to encourage other people developing software on top of 983 00:51:46,520 --> 00:51:50,120 Speaker 9: your on top of your applications. DC is a little different. 984 00:51:50,120 --> 00:51:51,759 Speaker 9: It's a different mindset. It's a little bit more of 985 00:51:51,760 --> 00:51:54,759 Speaker 9: a command and control mindset. It's a little bit more 986 00:51:54,800 --> 00:51:58,600 Speaker 9: bureaucratic obviously, so things move more slowly and people update 987 00:51:58,640 --> 00:52:03,719 Speaker 9: their assumption a little bit more slowly about what's happening, so. 988 00:52:03,880 --> 00:52:07,040 Speaker 1: Two very very different cultures right now. I'm saving the 989 00:52:07,120 --> 00:52:10,279 Speaker 1: vegetables for the last segment in the segment on the podcast, 990 00:52:10,320 --> 00:52:14,120 Speaker 1: which has to do with preemption, and I'll explain why 991 00:52:14,120 --> 00:52:16,200 Speaker 1: when we get there. Let me give you the last 992 00:52:16,239 --> 00:52:19,520 Speaker 1: sexy question. In my world of punditry, there's no one 993 00:52:19,600 --> 00:52:23,880 Speaker 1: greater than doctor the late doctor Charles Crodhammer. He proposed 994 00:52:23,880 --> 00:52:26,600 Speaker 1: the theory that the reason we've never heard from another 995 00:52:27,040 --> 00:52:32,080 Speaker 1: advanced civilization is that all advanced civilizations always blow themselves up, 996 00:52:32,480 --> 00:52:35,520 Speaker 1: that they always take their technology to the logical level 997 00:52:35,800 --> 00:52:40,440 Speaker 1: of destroying each other skynet. Do you view that as 998 00:52:40,480 --> 00:52:43,239 Speaker 1: the inevitability? 999 00:52:43,760 --> 00:52:46,880 Speaker 9: Well, I see those movies too, and I understand the concern, 1000 00:52:46,960 --> 00:52:48,719 Speaker 9: but I think it's pretty much in the real of 1001 00:52:48,760 --> 00:52:51,760 Speaker 9: science fiction, we don't really see that happening right now, 1002 00:52:52,360 --> 00:52:54,440 Speaker 9: if you. I mean, what I would recommend that everyone 1003 00:52:54,480 --> 00:52:56,200 Speaker 9: do is just try these new tools. 1004 00:52:56,239 --> 00:52:56,920 Speaker 1: You go to check. 1005 00:52:56,840 --> 00:53:00,320 Speaker 9: GPT, or you go to rock or use good Google, 1006 00:53:00,840 --> 00:53:05,040 Speaker 9: and what you'll see is that these AI chatbots are 1007 00:53:05,200 --> 00:53:07,360 Speaker 9: good at giving you answers, but it's really like a 1008 00:53:07,360 --> 00:53:09,759 Speaker 9: better web search. It doesn't have a mind of its own, 1009 00:53:10,000 --> 00:53:14,799 Speaker 9: it can't provide its own objective. It doesn't again, it 1010 00:53:14,800 --> 00:53:17,520 Speaker 9: doesn't try to figure out what it's supposed to be 1011 00:53:17,560 --> 00:53:20,040 Speaker 9: doing other than what you tell it to do. And 1012 00:53:20,080 --> 00:53:22,840 Speaker 9: there's really no evidence that that is not the case. 1013 00:53:22,880 --> 00:53:25,560 Speaker 9: So you know, we're building these they're called link large 1014 00:53:25,640 --> 00:53:28,600 Speaker 9: language models, and that's quite different than I think what's 1015 00:53:28,640 --> 00:53:30,000 Speaker 9: portrayed in a lot of the science fiction. 1016 00:53:30,960 --> 00:53:33,600 Speaker 1: In my law school faculty meeting, all we hear about 1017 00:53:33,800 --> 00:53:37,480 Speaker 1: llms is that we can't give take home exams anymore. Okay, 1018 00:53:37,560 --> 00:53:39,520 Speaker 1: that's a change, but it's not the end of the 1019 00:53:39,560 --> 00:53:42,480 Speaker 1: world because people will go home. Will it wipe out 1020 00:53:42,600 --> 00:53:45,920 Speaker 1: the millions of jobs that the doom sayers say? I 1021 00:53:45,920 --> 00:53:48,360 Speaker 1: don't think it will, But what do you think? No, 1022 00:53:49,600 --> 00:53:50,520 Speaker 1: why not? I don't think so. 1023 00:53:50,560 --> 00:53:52,920 Speaker 9: We don't see any well, we don't see any evidence 1024 00:53:52,960 --> 00:53:55,400 Speaker 9: of that. So, in fact, it's quite the opposite. We're 1025 00:53:55,400 --> 00:53:57,600 Speaker 9: seeing a job boom right now. So you look at 1026 00:53:57,880 --> 00:54:00,000 Speaker 9: the build out right now, if data centers and infrastruate 1027 00:54:00,040 --> 00:54:03,600 Speaker 9: ructure construction workers are seeing their wages increase thirty percent 1028 00:54:04,080 --> 00:54:06,880 Speaker 9: because of the demand. In fact, we're seeing many categories 1029 00:54:07,280 --> 00:54:11,680 Speaker 9: of labor. We have unfilled jobs. It's everything from plumbers 1030 00:54:11,680 --> 00:54:16,200 Speaker 9: to electricians, electricians to carpenters, the people who pour concrete 1031 00:54:16,239 --> 00:54:19,239 Speaker 9: or hang drywall, drivers, even architects. 1032 00:54:19,280 --> 00:54:21,840 Speaker 1: Engineering. There's a tremendous demand. 1033 00:54:21,480 --> 00:54:24,000 Speaker 9: Being created right now, and so wages are going up 1034 00:54:24,000 --> 00:54:26,360 Speaker 9: because we can't hire enough laborers. 1035 00:54:26,400 --> 00:54:29,200 Speaker 1: So it's just not the case that we're seeing a 1036 00:54:29,239 --> 00:54:30,000 Speaker 1: lot of job loss. 1037 00:54:30,040 --> 00:54:32,400 Speaker 9: And in fact, there was just a study by Yale 1038 00:54:32,480 --> 00:54:34,720 Speaker 9: by the Yale Budget Lab saying that in the thirty 1039 00:54:34,760 --> 00:54:37,839 Speaker 9: three months since the launch of chat GPT, there's been 1040 00:54:37,840 --> 00:54:40,040 Speaker 9: no discernible disruption to the labor market. 1041 00:54:40,239 --> 00:54:42,000 Speaker 1: They're seeing no major job loss. 1042 00:54:42,320 --> 00:54:45,239 Speaker 9: So again, you're hearing a lot of these doomer forecasts, 1043 00:54:45,320 --> 00:54:47,560 Speaker 9: but we're not seeing any of it in the data 1044 00:54:47,640 --> 00:54:48,000 Speaker 9: so far. 1045 00:54:48,680 --> 00:54:51,319 Speaker 1: And a quick exit question is the next segment, how 1046 00:54:51,360 --> 00:54:53,640 Speaker 1: interested is the president in this? Does you call him 1047 00:54:53,640 --> 00:54:55,600 Speaker 1: to say, David, tell me about this every day or 1048 00:54:55,640 --> 00:54:57,680 Speaker 1: is it quarterly or monthly? How interested? 1049 00:54:57,760 --> 00:54:57,960 Speaker 5: Is he. 1050 00:55:00,200 --> 00:55:00,920 Speaker 1: Very interested in this? 1051 00:55:01,120 --> 00:55:04,200 Speaker 9: I think that he wants America to win. He's the 1052 00:55:04,239 --> 00:55:05,920 Speaker 9: one who declared that we have to win the AI 1053 00:55:06,040 --> 00:55:08,759 Speaker 9: race and his AI speech on July twenty third, and 1054 00:55:08,800 --> 00:55:11,880 Speaker 9: he understands how important this is for our economy. Right now, 1055 00:55:12,080 --> 00:55:15,360 Speaker 9: AI is providing roughly half of the growth of the economy. 1056 00:55:15,560 --> 00:55:17,399 Speaker 9: The President gets that he wants us to win. 1057 00:55:18,160 --> 00:55:20,040 Speaker 1: We come back. We're going to talk about the EO 1058 00:55:20,239 --> 00:55:22,839 Speaker 1: and that is the vegetables. But you've got to understand it, 1059 00:55:23,000 --> 00:55:25,920 Speaker 1: especially you governors who are pissed off out there. Stay tuned. 1060 00:55:26,200 --> 00:55:32,319 Speaker 4: It's beginning to look a lot like Christmas everywhere you go. 1061 00:55:33,800 --> 00:55:36,320 Speaker 1: Welcome back in America. I'm here, Hugh at David Sachs 1062 00:55:36,440 --> 00:55:38,640 Speaker 1: is still with me. Now we get to the meet 1063 00:55:38,719 --> 00:55:42,000 Speaker 1: and the vegetables of the discussion. Last week, President Trump 1064 00:55:42,120 --> 00:55:47,120 Speaker 1: issued an executive order preempting the States from regulating artificial 1065 00:55:47,200 --> 00:55:50,399 Speaker 1: intelligence and its development. I set up and shared can 1066 00:55:50,480 --> 00:55:53,320 Speaker 1: I teach preemption every year, and I explain to people 1067 00:55:53,360 --> 00:55:56,000 Speaker 1: that Congress was given the interstate of Commerce authority to 1068 00:55:56,000 --> 00:55:58,960 Speaker 1: make sure that the States didn't screw it up. But 1069 00:55:59,080 --> 00:56:02,480 Speaker 1: I've never seen done by executive order before. David, now 1070 00:56:02,480 --> 00:56:04,759 Speaker 1: you're a University of Chicago trained lawyer, say you're a 1071 00:56:04,760 --> 00:56:07,840 Speaker 1: smart guy. Have you ever seen executive order used to 1072 00:56:07,920 --> 00:56:09,160 Speaker 1: declare preemption before? 1073 00:56:11,080 --> 00:56:14,120 Speaker 9: Well, we know we're being careful about what we can 1074 00:56:14,160 --> 00:56:16,120 Speaker 9: do by executive order and what has to be done 1075 00:56:16,120 --> 00:56:19,200 Speaker 9: by legislation. So in the executive order, we recognize that 1076 00:56:19,239 --> 00:56:22,799 Speaker 9: we need Congress to enact a federal framework, and so 1077 00:56:22,840 --> 00:56:26,200 Speaker 9: we're asking for a law, and the EO task members 1078 00:56:26,200 --> 00:56:29,560 Speaker 9: of the administration to work with Congress to deliver that framework. 1079 00:56:29,600 --> 00:56:32,080 Speaker 9: We again want to bill that the President can sign, 1080 00:56:32,680 --> 00:56:35,759 Speaker 9: and the executive Order provides a set of principles that 1081 00:56:35,760 --> 00:56:38,800 Speaker 9: we'd like to see contained in that bill. And then furthermore, 1082 00:56:38,840 --> 00:56:40,920 Speaker 9: it contains a set of tools that the federal government 1083 00:56:40,920 --> 00:56:44,160 Speaker 9: can use to push back on the most onerous examples 1084 00:56:44,280 --> 00:56:48,279 Speaker 9: of excessive state law in this area. So we're recognizing 1085 00:56:48,320 --> 00:56:51,560 Speaker 9: that this EO is not the preemption itself. It's more 1086 00:56:51,600 --> 00:56:54,240 Speaker 9: of a roadmap to the preemption, but we will ultimately 1087 00:56:54,280 --> 00:56:55,880 Speaker 9: need a law from Congress. 1088 00:56:56,239 --> 00:56:58,680 Speaker 1: All right, then we are in one hundred percent agreement, 1089 00:56:58,800 --> 00:57:01,000 Speaker 1: and it's a good message to the governors and the 1090 00:57:01,000 --> 00:57:05,160 Speaker 1: state legislatures to stay away. Let's get into the nitty gritty. 1091 00:57:05,239 --> 00:57:08,719 Speaker 1: Section three of the EO reads, within thirty days of 1092 00:57:08,800 --> 00:57:11,160 Speaker 1: the date of this order, and it was December eleventh, 1093 00:57:11,719 --> 00:57:15,240 Speaker 1: the Attorney General shall establish an AI Litigation Task Force 1094 00:57:15,280 --> 00:57:18,960 Speaker 1: whose sole responsibility shall be to challenge state AI laws 1095 00:57:19,040 --> 00:57:22,160 Speaker 1: inconsistent with the policy set forth in Section two of 1096 00:57:22,160 --> 00:57:24,520 Speaker 1: the order. That's the policy saying the Feds are going 1097 00:57:24,560 --> 00:57:27,640 Speaker 1: to clear the ground here, and the task Force shall 1098 00:57:27,640 --> 00:57:30,200 Speaker 1: consult from time to time with the Special Advisor for 1099 00:57:30,280 --> 00:57:33,560 Speaker 1: AI and CRYPTO. That's you. So are you going to 1100 00:57:33,600 --> 00:57:35,760 Speaker 1: have to sit down with a bunch of lawyers from 1101 00:57:36,040 --> 00:57:38,960 Speaker 1: Justice every now and then and talk about scurring the 1102 00:57:39,000 --> 00:57:40,560 Speaker 1: states out of screwing the Feds. 1103 00:57:42,840 --> 00:57:45,760 Speaker 9: Well, so this is one of the powers or one 1104 00:57:45,760 --> 00:57:48,000 Speaker 9: of the tools that's created by the EO. And let 1105 00:57:48,040 --> 00:57:51,240 Speaker 9: me just say that the DJ already has the power 1106 00:57:51,400 --> 00:57:54,280 Speaker 9: to challenge state laws, so this is not a new power. 1107 00:57:54,600 --> 00:57:57,600 Speaker 9: But what the EO is doing here is enumerting and 1108 00:57:57,720 --> 00:58:00,440 Speaker 9: marshaling all the tools of the federal government behind the 1109 00:58:00,880 --> 00:58:04,120 Speaker 9: President's policy to create a national framework. And so yes, 1110 00:58:04,160 --> 00:58:06,479 Speaker 9: we are going to meet with a DOJ, this task 1111 00:58:06,520 --> 00:58:08,440 Speaker 9: force to try and figure out again what are the 1112 00:58:08,440 --> 00:58:12,360 Speaker 9: most egregious examples of state laws that we should oppose. 1113 00:58:12,720 --> 00:58:14,960 Speaker 9: And we're going to oppose them either on FORSMA grounds 1114 00:58:15,040 --> 00:58:18,280 Speaker 9: or on interstate commerce grounds. These are areas where the 1115 00:58:18,320 --> 00:58:22,320 Speaker 9: states do not have the right to impose these excessive regulations. 1116 00:58:22,960 --> 00:58:25,080 Speaker 9: So that is the purpose of that. But let me 1117 00:58:25,160 --> 00:58:27,400 Speaker 9: just say that there are areas that we will not 1118 00:58:27,640 --> 00:58:30,360 Speaker 9: challenge the states, and this is important too. What we 1119 00:58:30,440 --> 00:58:33,240 Speaker 9: said is that we we recognize that the states have 1120 00:58:33,280 --> 00:58:39,000 Speaker 9: an interest in protecting child safety, for example, and furthermore, 1121 00:58:39,120 --> 00:58:43,280 Speaker 9: we realize that localities have an interest in choosing what 1122 00:58:44,080 --> 00:58:46,560 Speaker 9: their local infrastructure is. We're not going to interfere with 1123 00:58:46,560 --> 00:58:49,040 Speaker 9: the rights of communities to decide whether they want to 1124 00:58:49,040 --> 00:58:51,640 Speaker 9: have a data center or not. So there are areas 1125 00:58:51,760 --> 00:58:54,400 Speaker 9: that we're not going to challenge, and those are enumerated 1126 00:58:54,480 --> 00:58:56,080 Speaker 9: in this Executive order as well. 1127 00:58:56,680 --> 00:58:59,240 Speaker 1: Now you're in northern California and I'm a Southern Californi 1128 00:58:59,280 --> 00:59:02,200 Speaker 1: until I fled a decade ago because it had fallen 1129 00:59:02,240 --> 00:59:06,160 Speaker 1: off the cliff. We can't let California screw this up? 1130 00:59:06,320 --> 00:59:09,160 Speaker 1: Are they trying to screw They screwed everything up, Literally 1131 00:59:09,240 --> 00:59:11,920 Speaker 1: everything they touched they screw up. Is California trying to 1132 00:59:11,960 --> 00:59:12,680 Speaker 1: screw up AI? 1133 00:59:14,480 --> 00:59:16,680 Speaker 9: Yes, I mean by the way that you and I 1134 00:59:16,680 --> 00:59:19,400 Speaker 9: would define it, They are absolutely screwing this up. They 1135 00:59:19,480 --> 00:59:22,920 Speaker 9: already passed one bill called SB fifty three, which creates 1136 00:59:22,960 --> 00:59:26,720 Speaker 9: this reporting regime for AI models, and it's burdened some 1137 00:59:26,800 --> 00:59:29,200 Speaker 9: in and it's burdened some in and of itself, but 1138 00:59:29,240 --> 00:59:32,120 Speaker 9: now multiplied by fifty You're going to have AI companies 1139 00:59:32,160 --> 00:59:35,480 Speaker 9: trying to file reports with different definitions and fifty states 1140 00:59:35,480 --> 00:59:39,160 Speaker 9: to fifty different state regulators with fifty different deadlines. This 1141 00:59:39,200 --> 00:59:41,040 Speaker 9: is going to be an absolute morass and it's going 1142 00:59:41,080 --> 00:59:43,520 Speaker 9: to be very expensive. Look, the big tech companies can 1143 00:59:43,560 --> 00:59:46,240 Speaker 9: always afford to comply. They're going to figure it out. 1144 00:59:46,440 --> 00:59:49,800 Speaker 9: But it's the little tech It's the startup founders and entrepreneurs, 1145 00:59:49,840 --> 00:59:52,120 Speaker 9: the innovators who are going to get tangled up by this. 1146 00:59:52,320 --> 00:59:55,520 Speaker 9: And this is where we start to impede innovation and 1147 00:59:55,560 --> 00:59:59,160 Speaker 9: it could cost us this AI race with China. 1148 00:59:59,320 --> 01:00:01,400 Speaker 1: So you know, what we need to do is move to. 1149 01:00:01,320 --> 01:00:04,520 Speaker 9: A federal framework, not a patchwork at fifty different states. 1150 01:00:04,600 --> 01:00:08,040 Speaker 9: And it's true that you know, California is the state 1151 01:00:08,440 --> 01:00:10,560 Speaker 9: that has the most market power and it has the 1152 01:00:10,600 --> 01:00:14,080 Speaker 9: most nexus to AI companies. So you know, I know 1153 01:00:14,120 --> 01:00:16,439 Speaker 9: there's a lot of red state governors who are saying 1154 01:00:16,440 --> 01:00:19,080 Speaker 9: that they're opposed to the federal role as well, but 1155 01:00:19,440 --> 01:00:23,760 Speaker 9: they can't stop Gavin Newsom and the local assemblyman's Scott 1156 01:00:23,800 --> 01:00:26,680 Speaker 9: Wiener is writing all these laws from foisting these laws 1157 01:00:26,720 --> 01:00:29,760 Speaker 9: on the entire country because you know, almost all of 1158 01:00:29,800 --> 01:00:32,040 Speaker 9: the major AI companies are in California, and they're going 1159 01:00:32,120 --> 01:00:35,400 Speaker 9: to have to abide by these California laws, and those 1160 01:00:35,440 --> 01:00:38,360 Speaker 9: California laws are therefore going to become de facto for 1161 01:00:38,400 --> 01:00:40,840 Speaker 9: the rest of the country. So, you know, I understand 1162 01:00:40,840 --> 01:00:42,920 Speaker 9: that some of the concerns the Red States, but they 1163 01:00:42,920 --> 01:00:46,400 Speaker 9: need to understand that President Trump is the only elected 1164 01:00:46,440 --> 01:00:49,800 Speaker 9: official in America who can protect the Red States from 1165 01:00:49,800 --> 01:00:53,640 Speaker 9: what California is going to do. And you know it's 1166 01:00:53,640 --> 01:00:56,360 Speaker 9: not just Gavin Newsom, it's the Scott Wiener for example. 1167 01:00:56,680 --> 01:00:59,480 Speaker 9: They already pass SB fifty three. Wieners got seventy more 1168 01:00:59,520 --> 01:01:01,919 Speaker 9: bills to go. And again, these are going to become 1169 01:01:01,960 --> 01:01:05,440 Speaker 9: day facto law for all of America because of California's 1170 01:01:05,440 --> 01:01:08,080 Speaker 9: market power. If we don't move to some sort of 1171 01:01:08,200 --> 01:01:09,840 Speaker 9: national framework directly. 1172 01:01:09,600 --> 01:01:12,680 Speaker 1: Then you'll need aship, You'll need a whack a mole 1173 01:01:12,960 --> 01:01:17,640 Speaker 1: lawyer or phalanx of lawyers over doj to spread out 1174 01:01:17,760 --> 01:01:21,080 Speaker 1: over California. And every time they propose a reg or 1175 01:01:21,120 --> 01:01:24,680 Speaker 1: a statute, challenge it under the negative commerce clause. Now 1176 01:01:24,680 --> 01:01:27,120 Speaker 1: Clarence Thomas doesn't like the negative commerce clause, but I 1177 01:01:27,120 --> 01:01:30,840 Speaker 1: think it's clearly there is that what the AI litigation 1178 01:01:31,840 --> 01:01:34,560 Speaker 1: subsection is all about standing up people to go out 1179 01:01:34,600 --> 01:01:36,520 Speaker 1: there and hit them as soon as they come up 1180 01:01:36,560 --> 01:01:39,120 Speaker 1: with a bad idea. 1181 01:01:39,200 --> 01:01:41,960 Speaker 9: Well, it does give us the power to do that, 1182 01:01:42,080 --> 01:01:43,680 Speaker 9: but I think in practice we're going to have to 1183 01:01:43,720 --> 01:01:46,560 Speaker 9: be selective and decide where to pick our battles. 1184 01:01:46,680 --> 01:01:47,960 Speaker 1: And again, what we say. 1185 01:01:47,760 --> 01:01:49,720 Speaker 9: In the executive Order is we want to go after 1186 01:01:49,760 --> 01:01:54,520 Speaker 9: the most onerous and excessive state regulations. So California is 1187 01:01:54,520 --> 01:01:58,040 Speaker 9: certainly capable of producing those regulations, and if they're unchecked. 1188 01:01:58,360 --> 01:01:59,800 Speaker 1: This is again, this is not a stable equal. 1189 01:02:00,200 --> 01:02:03,160 Speaker 9: They've already passed I think several AI laws and there's 1190 01:02:03,640 --> 01:02:06,600 Speaker 9: dozens more waiting to go. So yes, at some point 1191 01:02:06,640 --> 01:02:09,760 Speaker 9: they're going to do something that we just absolutely cannot accept. 1192 01:02:09,760 --> 01:02:12,000 Speaker 9: But we're going to be selective about picking these battles. 1193 01:02:12,080 --> 01:02:13,600 Speaker 9: We want to make sure that we win these battles 1194 01:02:13,600 --> 01:02:16,000 Speaker 9: in court, and the best arguments are going to be 1195 01:02:16,040 --> 01:02:19,160 Speaker 9: first Amendment arguments and then interstate commerce arguments. 1196 01:02:19,840 --> 01:02:21,720 Speaker 1: They are clearly the best. When we come back, I'm 1197 01:02:21,760 --> 01:02:24,360 Speaker 1: going to continue my conversation will be on the podcast. 1198 01:02:24,400 --> 01:02:27,440 Speaker 1: Because preemption is not for the feint of heart. I 1199 01:02:27,440 --> 01:02:29,640 Speaker 1: didn't put too many vegetables on your plate, but I 1200 01:02:29,680 --> 01:02:32,600 Speaker 1: assure you this is the executive order for which President 1201 01:02:32,640 --> 01:02:35,800 Speaker 1: Trump will be remembered for decades if in fact it works, 1202 01:02:35,800 --> 01:02:39,760 Speaker 1: and we established for national security paper purposes an AI 1203 01:02:39,880 --> 01:02:43,440 Speaker 1: advantage which is insurmountable and I think will grow exponentially 1204 01:02:43,520 --> 01:02:46,840 Speaker 1: once we get it going. David Sachs will be back 1205 01:02:46,840 --> 01:02:49,880 Speaker 1: with me after the break. Don't go anywhere America except 1206 01:02:49,920 --> 01:02:53,000 Speaker 1: over to the YouTube channel and we'll continue the conversation. 1207 01:02:53,080 --> 01:02:55,320 Speaker 1: Play more of it tomorrow on the next Hewitt Show. 1208 01:02:55,520 --> 01:02:57,720 Speaker 1: I am back down with David Sachs, who is the 1209 01:02:58,000 --> 01:03:01,480 Speaker 1: chair of the President's Council once on Science and Technology, 1210 01:03:01,640 --> 01:03:04,720 Speaker 1: the AI zar and the crypto's arm. We stand far 1211 01:03:04,760 --> 01:03:07,520 Speaker 1: away from crypto because that makes my head hurt. David, 1212 01:03:07,720 --> 01:03:11,560 Speaker 1: tell me about this. Mike Gallagher, former congressman, really smart 1213 01:03:11,560 --> 01:03:14,640 Speaker 1: guy now with Palenteer, was on earlier this week telling 1214 01:03:14,680 --> 01:03:17,040 Speaker 1: me that Palenteer is hooking up with the Department of 1215 01:03:17,040 --> 01:03:19,280 Speaker 1: the Navy to build ships faster, which is music to 1216 01:03:19,360 --> 01:03:22,040 Speaker 1: my ear because we need ships and we need ships faster. 1217 01:03:22,800 --> 01:03:29,120 Speaker 1: What kind of advantages does AI bring to national security? Well, 1218 01:03:29,160 --> 01:03:30,160 Speaker 1: here there's a couple of things. 1219 01:03:30,200 --> 01:03:32,440 Speaker 9: First of all, economically, we're not going to be the 1220 01:03:32,440 --> 01:03:34,920 Speaker 9: world's leading economy if we're not number one in AI. 1221 01:03:34,960 --> 01:03:37,880 Speaker 9: It's such an important driver of future growth and innovation 1222 01:03:38,280 --> 01:03:42,440 Speaker 9: that we can't maintain our economic supremacy unless we are 1223 01:03:42,480 --> 01:03:43,520 Speaker 9: the leaders in AI. 1224 01:03:43,960 --> 01:03:45,440 Speaker 1: And if we cripple. 1225 01:03:45,160 --> 01:03:48,160 Speaker 9: Our innovators and the development of AI by having the 1226 01:03:48,240 --> 01:03:52,760 Speaker 9: state by state regulatory approach, this patchwork of confusing regulations 1227 01:03:52,760 --> 01:03:55,160 Speaker 9: that are often contradicting each other, there's no way we're 1228 01:03:55,160 --> 01:03:56,320 Speaker 9: going to be able to maintain that lead. 1229 01:03:56,440 --> 01:03:58,320 Speaker 1: So i'd say economy is number one. 1230 01:03:58,400 --> 01:04:00,800 Speaker 9: Number two is that there are going to be powerful 1231 01:04:00,840 --> 01:04:04,960 Speaker 9: applications that are developed militarily. We know that, for example, 1232 01:04:05,160 --> 01:04:08,120 Speaker 9: AI is the you could call it the brain of 1233 01:04:08,640 --> 01:04:12,840 Speaker 9: future drones, autonomy, things like that. 1234 01:04:12,920 --> 01:04:16,840 Speaker 1: It's gold today, it's the Golden down Golden Dome without it. 1235 01:04:16,960 --> 01:04:23,160 Speaker 9: Yes, whether you're talking about offensive weapons, drones autonomy, things 1236 01:04:23,160 --> 01:04:27,520 Speaker 9: like that are defensive, the missile defense shield, those systems, 1237 01:04:27,560 --> 01:04:30,760 Speaker 9: the guide systems are going to be powered by AI algorithms, 1238 01:04:31,320 --> 01:04:34,120 Speaker 9: and you can imagine that wars the future are going 1239 01:04:34,160 --> 01:04:36,480 Speaker 9: to be algorithm wars. So it's very important that we 1240 01:04:36,520 --> 01:04:38,200 Speaker 9: stay on the cutting edge of this technology. 1241 01:04:38,520 --> 01:04:42,000 Speaker 1: So my last two questions, have you invited the state 1242 01:04:42,080 --> 01:04:45,480 Speaker 1: regulators and the state want to be big shots and 1243 01:04:45,640 --> 01:04:47,640 Speaker 1: AI for a variety of regions. There are a lot 1244 01:04:47,640 --> 01:04:49,640 Speaker 1: of incentives. Do want to be the David Sacks of 1245 01:04:49,720 --> 01:04:52,280 Speaker 1: California or the David Sacks of Iowa, or the David 1246 01:04:52,320 --> 01:04:55,120 Speaker 1: Sacks of Florida. Have you invited them all to DC 1247 01:04:55,440 --> 01:04:58,000 Speaker 1: to sit down and talk to them about why you 1248 01:04:58,200 --> 01:05:00,840 Speaker 1: caep them informed? But they really can't things up. 1249 01:05:03,000 --> 01:05:03,040 Speaker 5: You. 1250 01:05:03,200 --> 01:05:05,640 Speaker 9: I did a call last week with the governors and 1251 01:05:05,680 --> 01:05:08,040 Speaker 9: their staffs to talk about the EO and walk them 1252 01:05:08,040 --> 01:05:09,920 Speaker 9: through what was in it, was not in it, that 1253 01:05:09,960 --> 01:05:11,160 Speaker 9: sort of thing, And I think we're going to do 1254 01:05:11,200 --> 01:05:13,280 Speaker 9: another call in the next week. So I am starting 1255 01:05:13,320 --> 01:05:15,440 Speaker 9: to have those conversations, and if any of them want 1256 01:05:15,480 --> 01:05:17,040 Speaker 9: to meet with me in DC, I'm happy to do 1257 01:05:17,080 --> 01:05:18,840 Speaker 9: that as well. So we are trying to keep the 1258 01:05:18,920 --> 01:05:22,840 Speaker 9: dialogue open. And I think it's important I understand why 1259 01:05:23,120 --> 01:05:26,120 Speaker 9: our governors want, why they feel they have the right 1260 01:05:26,200 --> 01:05:29,400 Speaker 9: and responsibility to protect their state populations. But they just 1261 01:05:29,440 --> 01:05:33,120 Speaker 9: need to understand that there's a huge externality created when 1262 01:05:33,160 --> 01:05:35,840 Speaker 9: you have fifty different governors or fifty different states running 1263 01:05:35,840 --> 01:05:37,080 Speaker 9: in fifty different directions. 1264 01:05:37,640 --> 01:05:39,880 Speaker 1: And I came out of the world, and only I 1265 01:05:39,880 --> 01:05:42,320 Speaker 1: came out of environmental law, and all it is is 1266 01:05:42,360 --> 01:05:45,920 Speaker 1: the nightmare of non preemption. Here's where I want to 1267 01:05:45,920 --> 01:05:48,720 Speaker 1: close with our last four minutes. You've got a variety 1268 01:05:48,760 --> 01:05:51,840 Speaker 1: of committees in the Senate, in the House. They all 1269 01:05:51,840 --> 01:05:54,240 Speaker 1: want to be big. You got twenty five different agencies. 1270 01:05:54,280 --> 01:05:56,880 Speaker 1: They all want to expand their wrint. Do we need 1271 01:05:56,920 --> 01:05:59,680 Speaker 1: a new agency for AI to be set up by 1272 01:05:59,720 --> 01:06:02,480 Speaker 1: a congressional statute? Is the best way to go forward 1273 01:06:02,520 --> 01:06:07,000 Speaker 1: for a framework for AI development and regulation? I would 1274 01:06:07,080 --> 01:06:07,800 Speaker 1: lean against that. 1275 01:06:07,920 --> 01:06:10,760 Speaker 9: I think a preferable approach would be to allow our 1276 01:06:10,800 --> 01:06:15,560 Speaker 9: existing agencies to govern those aspects of AII that pertain 1277 01:06:15,640 --> 01:06:19,360 Speaker 9: to them. So, for example, if there are concerns about 1278 01:06:19,360 --> 01:06:22,200 Speaker 9: the use of AI when it comes to drug development 1279 01:06:22,280 --> 01:06:24,960 Speaker 9: or something like that, I'd rather see the existing agency, 1280 01:06:24,960 --> 01:06:27,400 Speaker 9: which I gets to be the FDA, deal with that 1281 01:06:27,520 --> 01:06:29,800 Speaker 9: than rather than create a new agency that would then 1282 01:06:29,800 --> 01:06:32,600 Speaker 9: be in competition with the FDA, and so forth and 1283 01:06:32,640 --> 01:06:36,160 Speaker 9: so on down the line. So it's called a sexual approach, 1284 01:06:36,680 --> 01:06:40,400 Speaker 9: and I tend to think that the sexual approach would be. 1285 01:06:39,920 --> 01:06:42,560 Speaker 1: Better, But we haven't made a final determination on that. 1286 01:06:43,000 --> 01:06:45,040 Speaker 1: Oh I'm going to want a chance to argue out 1287 01:06:45,080 --> 01:06:47,080 Speaker 1: of that. Only because I spent so long enough. Okay, 1288 01:06:47,080 --> 01:06:49,480 Speaker 1: Well tell me, Well, the FEDS are all full of 1289 01:06:49,560 --> 01:06:52,640 Speaker 1: people who've been doing what they've been doing for thirty years, 1290 01:06:52,800 --> 01:06:55,440 Speaker 1: and they've been thinking the way federal regulators think for 1291 01:06:55,480 --> 01:06:57,840 Speaker 1: thirty years, and they've never been quick on their feet 1292 01:06:57,920 --> 01:07:01,520 Speaker 1: and nimble in their response to change technology. So you 1293 01:07:01,640 --> 01:07:05,120 Speaker 1: got thirty different bureaucracies that will movement the speed of glue, 1294 01:07:05,520 --> 01:07:08,480 Speaker 1: and they will never catch up to the innovators who 1295 01:07:08,520 --> 01:07:10,600 Speaker 1: are coming up on AI. So I would stand up. 1296 01:07:10,640 --> 01:07:14,240 Speaker 1: You might want to defer to the FDA's recommendations, but yeah, 1297 01:07:14,680 --> 01:07:16,480 Speaker 1: create a new agency, and you want. 1298 01:07:17,840 --> 01:07:20,240 Speaker 9: You want to see a new agency. That's interesting. I mean, look, Hugh, 1299 01:07:20,280 --> 01:07:22,280 Speaker 9: we have not made that decision yet, so I'll take 1300 01:07:22,320 --> 01:07:24,720 Speaker 9: your opinion into advisement there. 1301 01:07:24,920 --> 01:07:28,200 Speaker 1: Well, I appreciate greatly you're spending time with this. Congratulations 1302 01:07:28,200 --> 01:07:32,040 Speaker 1: on the executive order. I love preemption. I've always loved preemption. 1303 01:07:32,080 --> 01:07:34,000 Speaker 1: When I saw it, you made my week. So thank you, 1304 01:07:34,080 --> 01:07:36,240 Speaker 1: David Sackson. Thanks, by the way, for the service you're 1305 01:07:36,240 --> 01:07:38,960 Speaker 1: giving the United States. It is not without costs. There's 1306 01:07:38,960 --> 01:07:41,120 Speaker 1: an opportunity cost to you for doing it, and I 1307 01:07:41,160 --> 01:07:43,880 Speaker 1: appreciate your taking the time and doing it for the country, 1308 01:07:43,920 --> 01:07:47,200 Speaker 1: Thank you and had a great New year. Likewise, thank you, 1309 01:07:47,200 --> 01:07:52,760 Speaker 1: he you too. Bye bye, David, Welcome back America. I'm 1310 01:07:52,800 --> 01:07:56,000 Speaker 1: Hugh Hewett. I hope you enjoyed that intro to artificial 1311 01:07:56,080 --> 01:07:58,880 Speaker 1: intelligence with David Sachs, what the President Trump is up to. 1312 01:07:59,480 --> 01:08:01,720 Speaker 1: All of it will be over at my YouTube channel. 1313 01:08:01,760 --> 01:08:04,240 Speaker 1: When you go over there, you might be the person 1314 01:08:04,280 --> 01:08:07,439 Speaker 1: that gives us our one hundred thousand subscription and earns 1315 01:08:07,520 --> 01:08:11,600 Speaker 1: us a silver plaque and an uptick in the algorithm. 1316 01:08:11,720 --> 01:08:14,560 Speaker 1: So please do that. Subscribe to the Hugh Hewitt YouTube 1317 01:08:14,640 --> 01:08:19,559 Speaker 1: show while you're also online. Don't forget Angel Tree. Their 1318 01:08:19,600 --> 01:08:23,080 Speaker 1: phone number is Triple eight Choe six twenty seven sixty 1319 01:08:23,120 --> 01:08:26,760 Speaker 1: four Triple eight two O six twenty seven sixty four. 1320 01:08:26,920 --> 01:08:30,799 Speaker 1: Every thirty dollars we receive takes care of one child 1321 01:08:30,800 --> 01:08:33,719 Speaker 1: of the one point five million children who have mom 1322 01:08:33,800 --> 01:08:36,360 Speaker 1: and or dad in jail this Christmas. They get a 1323 01:08:36,360 --> 01:08:39,719 Speaker 1: present from Angeltree, they get a note from their mother 1324 01:08:39,840 --> 01:08:42,600 Speaker 1: or father about the present connecting with them on Christmas, 1325 01:08:42,680 --> 01:08:45,240 Speaker 1: they get a Bible, they get connected to angel Tree. 1326 01:08:45,439 --> 01:08:48,439 Speaker 1: You can really change a child's life this Christmas by 1327 01:08:48,720 --> 01:08:51,439 Speaker 1: just making a thirty dollars contribution. You can call it 1328 01:08:51,479 --> 01:08:53,559 Speaker 1: in like I said, or go to huhwitt dot com. 1329 01:08:53,600 --> 01:08:56,559 Speaker 1: The banner is at the very top. Don't forget as well. 1330 01:08:56,640 --> 01:08:59,559 Speaker 1: Consumer sell you or can save you money this time 1331 01:08:59,600 --> 01:09:01,519 Speaker 1: of this year and when you're spending money, you can 1332 01:09:01,520 --> 01:09:04,280 Speaker 1: save enough money with consumer selure to make twice as 1333 01:09:04,400 --> 01:09:09,439 Speaker 1: much of a contribution. Over to angel tree Consumer Sealure 1334 01:09:09,479 --> 01:09:11,559 Speaker 1: that can be reached at one eight hundred four one 1335 01:09:11,640 --> 01:09:15,000 Speaker 1: one forty four to fifty four. That's one eight hundred 1336 01:09:15,080 --> 01:09:17,880 Speaker 1: four to one one forty four to fifty four, one 1337 01:09:17,920 --> 01:09:20,120 Speaker 1: eight hundred four one one forty four to fifty four. 1338 01:09:20,439 --> 01:09:23,240 Speaker 1: Or you go to Consumer Cellular dot com slash Hue 1339 01:09:23,600 --> 01:09:28,040 Speaker 1: and remember when you call Consumer Cellular, use my code 1340 01:09:28,360 --> 01:09:31,080 Speaker 1: Hugh Hugh. And the reason you want to use my 1341 01:09:31,120 --> 01:09:33,479 Speaker 1: code Hue is no matter what you end up signing for, 1342 01:09:33,920 --> 01:09:35,920 Speaker 1: when you use the promo code Hue, you'll get your 1343 01:09:35,960 --> 01:09:39,800 Speaker 1: second month of service free when you use that code Hugh. Now, 1344 01:09:39,960 --> 01:09:43,720 Speaker 1: Consumer Cellular dot Com probably can save everybody money, only 1345 01:09:43,760 --> 01:09:46,680 Speaker 1: takes twenty minutes to switch. Keep your number, keep all 1346 01:09:46,720 --> 01:09:49,880 Speaker 1: your data, keep it all. But the key thing that's 1347 01:09:49,920 --> 01:09:52,120 Speaker 1: important is if you are over the age of fifty 1348 01:09:52,640 --> 01:09:55,240 Speaker 1: and you want unlimited data. You just want the protection 1349 01:09:55,320 --> 01:09:58,120 Speaker 1: of unlimited data. They have really got a plan for you. 1350 01:09:58,200 --> 01:10:00,680 Speaker 1: Two lines if you're over fifty two two lines of 1351 01:10:00,800 --> 01:10:04,800 Speaker 1: unlimited data for sixty dollars a month. Now, don't get 1352 01:10:04,800 --> 01:10:07,360 Speaker 1: taken in by offers of free phones. They're never free. 1353 01:10:07,640 --> 01:10:10,640 Speaker 1: Don't get taken in by superstars pitching you. You know 1354 01:10:10,680 --> 01:10:12,639 Speaker 1: this is the latest greatest thing in the world to do. 1355 01:10:13,240 --> 01:10:16,760 Speaker 1: Just get taken in by sixty dollars a month for 1356 01:10:16,920 --> 01:10:21,280 Speaker 1: unlimited data for two lines for two people fifty and older. 1357 01:10:21,479 --> 01:10:25,000 Speaker 1: Don't get fooled again. Go to Consumer Cellular dot Com 1358 01:10:25,000 --> 01:10:28,719 Speaker 1: slash you, Consumer Cellular dot Com slash you. Thanks generally, 1359 01:10:28,800 --> 01:10:31,559 Speaker 1: Simo and Adam and Harley for a great show. Talk 1360 01:10:31,600 --> 01:10:38,880 Speaker 1: to you tomorrow on the next You Here at show