1 00:00:02,560 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:08,800 --> 00:00:12,080 Speaker 2: Hey, everybody's business listeners. Max Schaffkin here along with Stacey 3 00:00:12,119 --> 00:00:16,600 Speaker 2: Bannock Smith and we are taking our show on the road, maybe. 4 00:00:16,400 --> 00:00:18,360 Speaker 3: Down down the road, Down the road. 5 00:00:18,560 --> 00:00:21,600 Speaker 2: I will be in Lower Manhattan on May fifth, five 6 00:00:21,600 --> 00:00:24,600 Speaker 2: point thirty pm for a special live version of this 7 00:00:24,680 --> 00:00:28,000 Speaker 2: podcast at New York's Ludlow House. We'd love you to 8 00:00:28,080 --> 00:00:28,440 Speaker 2: join us. 9 00:00:28,920 --> 00:00:32,839 Speaker 4: We will be talking about summer travel, because is everything 10 00:00:32,880 --> 00:00:36,440 Speaker 4: happening in our world right now going to ruin everyone's vacations. 11 00:00:36,680 --> 00:00:39,040 Speaker 3: Obviously not the. 12 00:00:38,600 --> 00:00:41,360 Speaker 4: Most important thing happening right now, but pretty important. I 13 00:00:41,360 --> 00:00:42,960 Speaker 4: think a lot of us count on a little break 14 00:00:42,960 --> 00:00:47,440 Speaker 4: in the summer, and between high gas prices and geopolitical 15 00:00:47,479 --> 00:00:50,760 Speaker 4: turmoil and flight cancelations, a lot of those plans are 16 00:00:51,080 --> 00:00:54,200 Speaker 4: in jeopardy. But there are some tricks and some tips 17 00:00:54,320 --> 00:00:56,400 Speaker 4: that you can use to navigate our brave new world. 18 00:00:56,480 --> 00:00:57,960 Speaker 3: And we will be talking about all those. 19 00:00:58,080 --> 00:01:00,320 Speaker 2: Yeah, and we're gonna have a little help Bloomberg's own 20 00:01:00,600 --> 00:01:03,960 Speaker 2: travel czar, Nikki Extein. That is her official title, by 21 00:01:04,000 --> 00:01:07,400 Speaker 2: the way, And Stacy, I am so excited about this. 22 00:01:07,640 --> 00:01:12,480 Speaker 2: Brian Kelly aka the Points the Points Guy, Points. 23 00:01:12,280 --> 00:01:15,039 Speaker 3: Guy, I got so many questions for him. You're not 24 00:01:15,120 --> 00:01:15,679 Speaker 3: gonna want. 25 00:01:15,520 --> 00:01:18,240 Speaker 2: To miss this. You gotta listen to this episode hopefully 26 00:01:18,280 --> 00:01:20,039 Speaker 2: live before you book your summer travel. 27 00:01:20,120 --> 00:01:22,280 Speaker 3: There are a few seats left. They are saved just 28 00:01:22,319 --> 00:01:22,760 Speaker 3: for you. 29 00:01:22,480 --> 00:01:25,000 Speaker 4: You can go to on air Presents dot com, scroll 30 00:01:25,080 --> 00:01:27,480 Speaker 4: down until you see an image of the show of 31 00:01:28,040 --> 00:01:30,600 Speaker 4: our faces of me and Max. You can tap on 32 00:01:30,720 --> 00:01:33,600 Speaker 4: our faces and request an invite. That's on air Presents 33 00:01:33,640 --> 00:01:36,280 Speaker 4: dot com and tap the request and invite button. 34 00:01:36,600 --> 00:01:38,080 Speaker 2: Hope to see you there on the fifth. 35 00:01:39,200 --> 00:01:40,920 Speaker 3: Okay, Max to the show. 36 00:01:41,200 --> 00:01:45,640 Speaker 4: This week, we are focusing on two lawsuits, lawsuits that 37 00:01:45,680 --> 00:01:49,560 Speaker 4: will potentially shape our future in technology and in health. 38 00:01:49,960 --> 00:01:53,320 Speaker 2: Yeah. The first one is open ai, which is facing 39 00:01:53,400 --> 00:01:57,680 Speaker 2: a legal battle with Elon Musk, who started the company 40 00:01:57,720 --> 00:02:01,000 Speaker 2: with CEO Sam Altman, initially as an nonprofit that would 41 00:02:01,040 --> 00:02:04,280 Speaker 2: benefit humanity. I'd say, Stacey, they have both taken it 42 00:02:04,480 --> 00:02:07,880 Speaker 2: in another direction. Now they're definitely not a nonprofit fighting 43 00:02:07,960 --> 00:02:12,720 Speaker 2: about it in court in Oakland. And meanwhile, while that 44 00:02:12,880 --> 00:02:16,800 Speaker 2: is happening, open ai has another plan, another way to 45 00:02:16,880 --> 00:02:17,880 Speaker 2: increase its profits. 46 00:02:18,040 --> 00:02:20,480 Speaker 5: If you have this AI technology, you don't want to 47 00:02:20,520 --> 00:02:24,320 Speaker 5: be reliant on Apple for connecting with your customers. You 48 00:02:24,360 --> 00:02:27,240 Speaker 5: want your own product, your own ecosystem that customers can 49 00:02:27,280 --> 00:02:29,440 Speaker 5: go out and buy. And so this is why they're 50 00:02:29,440 --> 00:02:31,760 Speaker 5: all trying to build hardware, and this is why Opena 51 00:02:31,800 --> 00:02:33,040 Speaker 5: wants to build its own hardware. 52 00:02:33,480 --> 00:02:33,720 Speaker 3: Yes. 53 00:02:34,200 --> 00:02:36,639 Speaker 4: Now, the second lawsuit has to do with the Make 54 00:02:36,680 --> 00:02:39,880 Speaker 4: America Healthy Again movement. The Supreme Court is hearing a 55 00:02:39,919 --> 00:02:42,520 Speaker 4: case right now that will decide whether the company Bear, 56 00:02:42,720 --> 00:02:46,840 Speaker 4: which owns the weedkiller roundup, can be shielded from lawsuits 57 00:02:46,840 --> 00:02:49,040 Speaker 4: from people who say that roundup made them sick. 58 00:02:49,320 --> 00:02:51,800 Speaker 6: For Democrats, I think it's been a huge miss for 59 00:02:51,880 --> 00:02:55,119 Speaker 6: them to not be pushing this harder. I mean it 60 00:02:55,120 --> 00:02:58,200 Speaker 6: it is extre like by definition, a kitchen table issue, 61 00:02:58,240 --> 00:03:01,520 Speaker 6: because it's not the food on our kitchen. The agricultural 62 00:03:01,520 --> 00:03:06,200 Speaker 6: industry is also very powerful and very dispersed around the country. 63 00:03:06,520 --> 00:03:10,240 Speaker 6: And so you know, the Democrats, I think, had so 64 00:03:10,320 --> 00:03:13,920 Speaker 6: many opportunities to really own the food issue and never 65 00:03:14,120 --> 00:03:14,440 Speaker 6: took it. 66 00:03:17,760 --> 00:03:21,080 Speaker 2: This is everybody's business. From BusinessWeek, I'm Max Chafkin. 67 00:03:20,880 --> 00:03:24,160 Speaker 3: And I'm Stacey Vannicksmith. Today on the show, what happens to. 68 00:03:24,200 --> 00:03:28,200 Speaker 4: A mission when the lawsuits start and when that mission 69 00:03:28,240 --> 00:03:36,440 Speaker 4: starts to get expensive? Stay with us Stacey. 70 00:03:37,160 --> 00:03:41,240 Speaker 2: Open ai keeps finding its way onto this show for 71 00:03:41,320 --> 00:03:44,160 Speaker 2: all sorts of reasons, which makes sense because it's one 72 00:03:44,160 --> 00:03:47,120 Speaker 2: of the most popular AI chatbots. It has evaluation of 73 00:03:47,520 --> 00:03:50,240 Speaker 2: eight hundred and fifty billion, plans to go even bigger. 74 00:03:50,280 --> 00:03:53,960 Speaker 2: They are trying to go public at some point this year. Meanwhile, 75 00:03:54,120 --> 00:03:57,320 Speaker 2: a lot of analysts think there's a bubble now as 76 00:03:57,360 --> 00:04:01,920 Speaker 2: we record open ai as beating back reports which it denies, 77 00:04:02,120 --> 00:04:07,280 Speaker 2: saying it is missing its internal projections. Regardless, AI has 78 00:04:07,280 --> 00:04:10,120 Speaker 2: been a huge story here and you really can't talk 79 00:04:10,160 --> 00:04:11,720 Speaker 2: about it without talking about this company. 80 00:04:12,000 --> 00:04:14,440 Speaker 4: Yes, and there is a strong chance that as you 81 00:04:14,640 --> 00:04:17,640 Speaker 4: are listening to us right now, you are listening to 82 00:04:17,720 --> 00:04:20,760 Speaker 4: us on a smartphone. And there is also a strong 83 00:04:20,839 --> 00:04:24,560 Speaker 4: chance that on that very smartphone you have chat GBT 84 00:04:24,960 --> 00:04:29,479 Speaker 4: or some other similar appic Claude, these apps, this technology, 85 00:04:29,520 --> 00:04:32,039 Speaker 4: it is just transforming our lives and will soon very 86 00:04:32,120 --> 00:04:35,960 Speaker 4: likely be transforming our phones and maybe all of our hardware. 87 00:04:36,560 --> 00:04:38,960 Speaker 2: Yeah, these AI companies want to make phones, and so 88 00:04:39,080 --> 00:04:41,400 Speaker 2: we wanted to kind of do a little early market 89 00:04:41,440 --> 00:04:45,120 Speaker 2: research for this. Yes, so we sent our producer Miles J. 90 00:04:45,279 --> 00:04:47,680 Speaker 2: Herzenhorn to the streets of New York to ask people. 91 00:04:47,760 --> 00:04:49,479 Speaker 2: First of all, how often do they even get a 92 00:04:49,520 --> 00:04:51,960 Speaker 2: new phone? How often do they upgrade? And would they 93 00:04:52,000 --> 00:04:55,080 Speaker 2: consider upgrading to a phone that has a lot more 94 00:04:55,120 --> 00:04:55,760 Speaker 2: AI in it? 95 00:04:56,000 --> 00:04:59,039 Speaker 7: How old is your cell phone? I don't know, I 96 00:04:59,040 --> 00:04:59,920 Speaker 7: have no idea. 97 00:05:00,760 --> 00:05:04,360 Speaker 3: Probably, uh, since two years old. 98 00:05:04,560 --> 00:05:08,440 Speaker 2: I upgrad my phone about like one year to two years. 99 00:05:08,440 --> 00:05:11,360 Speaker 2: But now recently it's been like every you know, two 100 00:05:11,440 --> 00:05:14,599 Speaker 2: to three years since like technology has been like plotlen 101 00:05:15,040 --> 00:05:18,520 Speaker 2: five years and minus two. How often do you try 102 00:05:18,520 --> 00:05:19,600 Speaker 2: to create your phone. 103 00:05:20,640 --> 00:05:23,000 Speaker 3: Every two years old two years. 104 00:05:23,200 --> 00:05:26,480 Speaker 8: When it's like stop, stop working because of the battery 105 00:05:26,600 --> 00:05:27,480 Speaker 8: and all that stuff. 106 00:05:28,000 --> 00:05:32,520 Speaker 9: Yeah, same once it for each five six years something 107 00:05:32,560 --> 00:05:32,800 Speaker 9: like that. 108 00:05:33,279 --> 00:05:36,800 Speaker 8: Not often unless something happens to my phone. I really 109 00:05:36,800 --> 00:05:39,440 Speaker 8: don't care what extent you're looking forward to having AI 110 00:05:39,640 --> 00:05:40,599 Speaker 8: technology in your phone. 111 00:05:40,720 --> 00:05:43,160 Speaker 2: So I actually deal with like AI just a little bit. 112 00:05:43,440 --> 00:05:45,479 Speaker 2: I don't think that there is like a sort of 113 00:05:45,480 --> 00:05:49,240 Speaker 2: a need. I think the whole like SERI thing kind 114 00:05:49,240 --> 00:05:50,000 Speaker 2: of like flopted out. 115 00:05:50,120 --> 00:05:55,800 Speaker 8: I don't even use it, the artificial intelligent part, because somehow, 116 00:05:55,800 --> 00:05:58,600 Speaker 8: in the back of my mind I think it's creeping 117 00:05:58,640 --> 00:06:02,080 Speaker 8: into my privacy. I get a little bit paranoid about it. 118 00:06:02,720 --> 00:06:06,160 Speaker 2: So no, I think it's accelerating too fast. It's making 119 00:06:06,160 --> 00:06:09,680 Speaker 2: people lazy and not the thing for themselves, taking away 120 00:06:09,680 --> 00:06:14,839 Speaker 2: their ability to learn. I really respect the utmost respect 121 00:06:15,320 --> 00:06:18,920 Speaker 2: the person who said she doesn't know when she got 122 00:06:19,000 --> 00:06:21,359 Speaker 2: her phone. That is awesome. I feel like the longer 123 00:06:21,400 --> 00:06:22,279 Speaker 2: you can go, the better. 124 00:06:22,800 --> 00:06:25,120 Speaker 4: I remember when I got my phone, but only because 125 00:06:25,279 --> 00:06:28,279 Speaker 4: it was right before the tariffs. 126 00:06:29,080 --> 00:06:31,680 Speaker 3: It was right, it was right after a liberation day. 127 00:06:31,720 --> 00:06:32,440 Speaker 3: I ran out and got it. 128 00:06:32,600 --> 00:06:34,559 Speaker 2: I'm probably I'm probably going to get a new phone 129 00:06:34,560 --> 00:06:36,640 Speaker 2: because like I write about technology, and I have to, 130 00:06:36,720 --> 00:06:38,120 Speaker 2: but I would love to get to a place where 131 00:06:38,120 --> 00:06:40,599 Speaker 2: I just I don't replace it unless I drop it 132 00:06:40,640 --> 00:06:45,120 Speaker 2: in the ocean. Do you drop my ambition accidentally? I 133 00:06:45,160 --> 00:06:49,000 Speaker 2: don't know. We have a great person to talk about this, 134 00:06:49,120 --> 00:06:53,640 Speaker 2: Bloomberg Managing editor of Consumer Technology, Mark German. He is 135 00:06:53,839 --> 00:06:57,640 Speaker 2: the person in this newsroom that I talked to when 136 00:06:57,640 --> 00:07:01,359 Speaker 2: I want to understand really anything about the kind of 137 00:07:02,440 --> 00:07:06,400 Speaker 2: personal hardware that defines our lives. Increasingly. He covers Apple 138 00:07:06,560 --> 00:07:09,280 Speaker 2: like the gadget, he covers gadgets in general. Mark, Welcome 139 00:07:09,320 --> 00:07:10,320 Speaker 2: to everybody's business. 140 00:07:10,480 --> 00:07:11,880 Speaker 7: Thanks for having me. Glad to be here. 141 00:07:12,320 --> 00:07:16,240 Speaker 2: Okay, so we wanted to talk to you because open 142 00:07:16,280 --> 00:07:19,080 Speaker 2: Ai right now they're in the news. There is a 143 00:07:19,280 --> 00:07:23,920 Speaker 2: very interesting trial going on in Oakland between Elon Musk 144 00:07:24,000 --> 00:07:27,080 Speaker 2: and Sam Altman. There have been a swirl of reports 145 00:07:27,440 --> 00:07:31,120 Speaker 2: around open AI's valuation and are they hitting their metrics, 146 00:07:31,200 --> 00:07:33,760 Speaker 2: is there enough usage? Is there an ai bubble? And 147 00:07:33,800 --> 00:07:36,680 Speaker 2: there's also this kind of weird report that came out 148 00:07:36,680 --> 00:07:40,600 Speaker 2: earlier this week that open ai is getting closer to 149 00:07:40,640 --> 00:07:46,560 Speaker 2: developing some consumer hardware, particularly a smartphone. And leaving aside 150 00:07:46,760 --> 00:07:50,400 Speaker 2: the Musk drama the valuation, can you just try to 151 00:07:50,440 --> 00:07:54,280 Speaker 2: explain to us why they're doing this and what exactly 152 00:07:54,360 --> 00:07:55,160 Speaker 2: we think they're doing. 153 00:07:55,640 --> 00:07:57,880 Speaker 5: Yeah, we've known for some time now that open ai 154 00:07:58,080 --> 00:08:02,320 Speaker 5: has ambitions in hardware. Johnny Ive, who just taking a 155 00:08:02,360 --> 00:08:05,200 Speaker 5: step back here, who ran design for Apple. He left 156 00:08:05,200 --> 00:08:08,920 Speaker 5: in twenty nineteen and after that he started up a 157 00:08:09,080 --> 00:08:12,960 Speaker 5: design shop with another designer named Mark Newsome, and it's 158 00:08:13,000 --> 00:08:15,800 Speaker 5: called Blove from based in San Francisco. 159 00:08:15,440 --> 00:08:17,560 Speaker 7: And they've done some one off things. 160 00:08:17,600 --> 00:08:21,480 Speaker 5: They've worked with the UK government on a font, they 161 00:08:21,520 --> 00:08:25,240 Speaker 5: created a lamp that you take sailing. They've done other 162 00:08:25,320 --> 00:08:28,840 Speaker 5: fun quirky ti I believe interior ever Ferrari. 163 00:08:28,640 --> 00:08:31,840 Speaker 3: These are very odd undertakings. 164 00:08:31,920 --> 00:08:35,920 Speaker 5: They're all niche right, Yes, Johnny Ive is known for 165 00:08:36,160 --> 00:08:38,360 Speaker 5: all the Apple products we used today. The Apple Watch 166 00:08:38,480 --> 00:08:41,680 Speaker 5: was his brainchild, and he had this, you know, arrangement 167 00:08:41,720 --> 00:08:45,360 Speaker 5: with Apple where couldn't really get into the consumer electronics game. 168 00:08:45,760 --> 00:08:48,440 Speaker 5: I would guess for a three year period and whatnot 169 00:08:48,640 --> 00:08:50,200 Speaker 5: a non compete, a non. 170 00:08:50,040 --> 00:08:50,959 Speaker 7: Compete type of thing. 171 00:08:51,000 --> 00:08:54,320 Speaker 5: And he worked with Apple posts departure as well. They 172 00:08:54,360 --> 00:08:57,439 Speaker 5: did some one off work together on a contractual basis, 173 00:08:57,440 --> 00:09:00,480 Speaker 5: but that all ended around twenty twenty two. And the 174 00:09:00,480 --> 00:09:03,600 Speaker 5: guy who helped make the consumer tech we use every day, 175 00:09:03,920 --> 00:09:05,600 Speaker 5: he's going to have the etch to get back into 176 00:09:05,600 --> 00:09:09,480 Speaker 5: the game. So around then he started working on a 177 00:09:09,679 --> 00:09:13,440 Speaker 5: startup called io at the time, and the idea was 178 00:09:13,520 --> 00:09:18,120 Speaker 5: to create AI hardware and AI devices. And early on 179 00:09:18,160 --> 00:09:21,520 Speaker 5: in that process he got introduced to Sam Altman and 180 00:09:21,520 --> 00:09:24,240 Speaker 5: saw what he was doing with chat, GPT and open 181 00:09:24,280 --> 00:09:27,880 Speaker 5: ai and his thinking at the time, Johnny I's thinking 182 00:09:28,000 --> 00:09:31,240 Speaker 5: was AI is going to enable entirely new wave of 183 00:09:31,320 --> 00:09:34,000 Speaker 5: consumer hardware and consumer technology. You know, he had this 184 00:09:34,080 --> 00:09:36,720 Speaker 5: idea where people have become too addicted to screens and 185 00:09:36,760 --> 00:09:40,040 Speaker 5: their phones and headsets and whatnot, and he felt that 186 00:09:40,200 --> 00:09:44,480 Speaker 5: AI could help him recreate these devices in a way 187 00:09:44,520 --> 00:09:47,880 Speaker 5: that would counter this addiction, counter people being glued to 188 00:09:47,880 --> 00:09:50,360 Speaker 5: their displays and their phones and iPads at all times. 189 00:09:50,720 --> 00:09:55,160 Speaker 5: And so they partnered together and Sam Altman was part 190 00:09:55,320 --> 00:09:58,199 Speaker 5: of this Io to a certain extent, and Johnny I 191 00:09:58,200 --> 00:09:59,920 Speaker 5: have brought in a bunch of the best that you 192 00:10:00,080 --> 00:10:03,360 Speaker 5: you saw at Apple working on products there. From an 193 00:10:03,360 --> 00:10:05,679 Speaker 5: ip standpoint, you can likely argue with it, but from 194 00:10:05,679 --> 00:10:08,280 Speaker 5: a talent perspective, it's hard to argue that they're getting 195 00:10:08,280 --> 00:10:10,679 Speaker 5: the best of the best there. But now Io is 196 00:10:10,720 --> 00:10:13,160 Speaker 5: part of open Ai and they are working on what 197 00:10:13,200 --> 00:10:16,839 Speaker 5: they say is a family of AI devices. My understanding 198 00:10:17,000 --> 00:10:20,520 Speaker 5: is that they're looking and working on basically everything you 199 00:10:20,559 --> 00:10:23,960 Speaker 5: can imagine. But the one thing you really need if 200 00:10:24,000 --> 00:10:26,560 Speaker 5: you want to be a successful consumer electronics company is 201 00:10:26,559 --> 00:10:29,120 Speaker 5: something you can put in your pocket, right, And we 202 00:10:29,160 --> 00:10:31,520 Speaker 5: think of a phone today as this smartphone, this slab 203 00:10:31,520 --> 00:10:34,200 Speaker 5: of glass with this display, but really a phone could 204 00:10:34,200 --> 00:10:36,360 Speaker 5: be anything with cellular connectivity that allows you to make 205 00:10:36,360 --> 00:10:39,199 Speaker 5: phone calls. And so the ultimate goal has been from 206 00:10:39,200 --> 00:10:41,880 Speaker 5: the beginning for open ai to create an iPhone killer, 207 00:10:42,120 --> 00:10:44,760 Speaker 5: an aiphone from the ground up, and that's what I 208 00:10:44,800 --> 00:10:46,840 Speaker 5: expect them to do before the end of the decade, 209 00:10:47,160 --> 00:10:49,320 Speaker 5: but certainly that's not going to be their first device. 210 00:10:49,559 --> 00:10:52,600 Speaker 5: Anticipate their first device being more of an accessory, something 211 00:10:52,640 --> 00:10:56,280 Speaker 5: in the smart speaker, earbuds, smart glasses, realm and then 212 00:10:56,280 --> 00:10:59,959 Speaker 5: eventually I think that'll all make way towards the open aiphone. 213 00:10:59,760 --> 00:11:03,080 Speaker 4: Why would they want to get into the hardware business. 214 00:11:03,160 --> 00:11:05,360 Speaker 4: The hardware business is so tough. I feel like a 215 00:11:05,360 --> 00:11:08,360 Speaker 4: lot of great companies tried and failed to make a phone. 216 00:11:09,320 --> 00:11:12,080 Speaker 4: Anthropic is going in a much different, more sort of 217 00:11:12,360 --> 00:11:15,960 Speaker 4: software driven direction from what I understand. Why is AI 218 00:11:16,280 --> 00:11:17,160 Speaker 4: going in this direction. 219 00:11:17,920 --> 00:11:20,600 Speaker 5: It's the same reason that you've seen Amazon in the 220 00:11:20,640 --> 00:11:23,319 Speaker 5: past look at making a phone. It's the same reason 221 00:11:23,360 --> 00:11:26,079 Speaker 5: why Google makes a phone. It's the same reason as 222 00:11:26,120 --> 00:11:28,320 Speaker 5: companies make aphone, Facebook try to make a phone. And 223 00:11:28,320 --> 00:11:30,600 Speaker 5: it's the reason right now why Meta is all in 224 00:11:30,640 --> 00:11:33,720 Speaker 5: on building its own array of AI hardware devices. You know, 225 00:11:33,760 --> 00:11:36,640 Speaker 5: they hired Alan I, the head of User interface at Apple, 226 00:11:36,640 --> 00:11:39,520 Speaker 5: at the end of last year and now he's driving 227 00:11:39,640 --> 00:11:42,480 Speaker 5: the work along with their CTO Andrew Bosworth, on making 228 00:11:42,520 --> 00:11:44,079 Speaker 5: an array of AI devices. 229 00:11:44,440 --> 00:11:44,760 Speaker 7: Why. 230 00:11:45,000 --> 00:11:48,600 Speaker 5: Because Apple owns the consumer technology landscape, because they are 231 00:11:48,640 --> 00:11:49,720 Speaker 5: the hardware player. 232 00:11:49,760 --> 00:11:50,240 Speaker 7: They are the. 233 00:11:50,200 --> 00:11:53,320 Speaker 5: Platform, and if you have this AI technology, you don't 234 00:11:53,360 --> 00:11:57,280 Speaker 5: want to be reliant on Apple for connecting with your customers. 235 00:11:57,480 --> 00:12:00,400 Speaker 5: You want your own product, your own ecosystem the customers 236 00:12:00,400 --> 00:12:02,480 Speaker 5: can go out and buy and so this is why 237 00:12:02,520 --> 00:12:04,560 Speaker 5: they're all trying to build hardware, and this is why 238 00:12:04,600 --> 00:12:07,040 Speaker 5: Opena wants to build its own hardware. They don't want 239 00:12:07,040 --> 00:12:10,000 Speaker 5: to rely on Apple being the distribution point for chech 240 00:12:10,080 --> 00:12:13,199 Speaker 5: ebt and their technology. They want to be their own distributor. 241 00:12:13,320 --> 00:12:15,319 Speaker 5: They don't want to abide by Apples app store rules. 242 00:12:15,360 --> 00:12:17,560 Speaker 5: They don't want to abide by Apples software development kits. 243 00:12:17,559 --> 00:12:19,240 Speaker 5: They don't want to abide by what Apple allows and 244 00:12:19,240 --> 00:12:21,240 Speaker 5: doesn't allow to run on their products. They want to 245 00:12:21,240 --> 00:12:24,319 Speaker 5: issue their own products to consumers and have their technology 246 00:12:24,320 --> 00:12:26,000 Speaker 5: on top of it and their own app store on 247 00:12:26,000 --> 00:12:27,920 Speaker 5: top of it. They don't want to be within Apple's 248 00:12:27,920 --> 00:12:30,160 Speaker 5: walled garden. They want to create their own garden. 249 00:12:30,679 --> 00:12:32,839 Speaker 2: We should talk about what's happening in Apple, but before 250 00:12:32,840 --> 00:12:35,720 Speaker 2: we get there, Mark, does it create any kind of 251 00:12:35,720 --> 00:12:39,959 Speaker 2: cause for concern in your mind? Stacy mentioned this. Anthropic 252 00:12:40,160 --> 00:12:43,640 Speaker 2: has had a lot of success marketing to businesses. We've 253 00:12:43,640 --> 00:12:47,240 Speaker 2: seen reports that open Ai, according to The Wall Street Journal, 254 00:12:47,240 --> 00:12:51,280 Speaker 2: which open Ai denied, was missing its revenue projections. This 255 00:12:51,320 --> 00:12:55,240 Speaker 2: is a very competitive space. Do you have any sense 256 00:12:55,280 --> 00:12:59,280 Speaker 2: that this is a company that is scrambling to find 257 00:12:59,440 --> 00:13:02,480 Speaker 2: a way to continue growing, that there is maybe even 258 00:13:02,679 --> 00:13:06,560 Speaker 2: like a hint of desperation in this ambition, just because 259 00:13:06,880 --> 00:13:09,520 Speaker 2: so many companies have done this, have tried to do this, 260 00:13:09,600 --> 00:13:12,800 Speaker 2: and they have failed pretty miserably. We could probably debate 261 00:13:13,679 --> 00:13:17,080 Speaker 2: on the Google one, because Android is very successful, but 262 00:13:17,160 --> 00:13:20,160 Speaker 2: there isn't like a big track record of tech companies 263 00:13:20,480 --> 00:13:24,600 Speaker 2: attempting to compete with Apple and Samsung here and winning. 264 00:13:24,920 --> 00:13:28,800 Speaker 5: Yeah, but open Ai and Sam Altman have this secret 265 00:13:28,880 --> 00:13:32,000 Speaker 5: sauce that is AI for all intents and purposes. They 266 00:13:32,000 --> 00:13:35,719 Speaker 5: were the pioneer here. They do probably have still even 267 00:13:35,800 --> 00:13:37,920 Speaker 5: though Claude is up there and Gemini is up there. 268 00:13:37,920 --> 00:13:40,520 Speaker 5: Some of the best underlying AI technology, some of the 269 00:13:40,520 --> 00:13:43,360 Speaker 5: best AI researchers, and that's a huge differentiator from what 270 00:13:43,360 --> 00:13:45,520 Speaker 5: you have at Apple. And so if anyone is going 271 00:13:45,559 --> 00:13:49,320 Speaker 5: to reinvent the hardware game, it's going to be open Ai. 272 00:13:50,080 --> 00:13:54,079 Speaker 5: But I don't think that this is a serious issue 273 00:13:54,120 --> 00:13:56,960 Speaker 5: for Apple. And if open ai ends up doing anything 274 00:13:57,000 --> 00:13:59,560 Speaker 5: successful I think Apple's just going to copy them really quickly. 275 00:13:59,800 --> 00:14:02,720 Speaker 5: So I'm not too worried for Apple there. The one 276 00:14:02,760 --> 00:14:05,120 Speaker 5: concern I do have for Apple is in terms of 277 00:14:05,160 --> 00:14:09,360 Speaker 5: brain drain and talent drain. Anything that Apple's doing Open 278 00:14:09,400 --> 00:14:12,400 Speaker 5: Ai has hired from to a very large degree, and 279 00:14:12,440 --> 00:14:14,400 Speaker 5: so that's the scary part for Apple if they're losing 280 00:14:14,480 --> 00:14:16,120 Speaker 5: too many people to be able to keep up the 281 00:14:16,160 --> 00:14:17,560 Speaker 5: pace of their own hardward development. 282 00:14:18,120 --> 00:14:21,720 Speaker 2: Mark. We've seen a couple of efforts to create these 283 00:14:21,720 --> 00:14:25,200 Speaker 2: like AI devices. There was a company called Humane. You 284 00:14:25,360 --> 00:14:27,160 Speaker 2: test the product, I think you might have called it 285 00:14:27,240 --> 00:14:29,520 Speaker 2: like one of the worst products. I can't remember the 286 00:14:29,560 --> 00:14:30,440 Speaker 2: exact wording. I don't know. 287 00:14:30,600 --> 00:14:32,120 Speaker 7: It is the worst product I've ever used. 288 00:14:32,240 --> 00:14:34,840 Speaker 2: It was it was it was like a little pin 289 00:14:35,160 --> 00:14:37,640 Speaker 2: that you wore on your chest, and the idea was 290 00:14:37,680 --> 00:14:40,000 Speaker 2: like instead of looking at a screen, you would just 291 00:14:40,040 --> 00:14:42,920 Speaker 2: talk to a chatbot. And it had all sorts of problems. 292 00:14:43,280 --> 00:14:45,560 Speaker 2: The big problem, Mark, correct me if I'm fung is 293 00:14:45,920 --> 00:14:49,280 Speaker 2: it got really hot because of all the computing that 294 00:14:49,360 --> 00:14:52,360 Speaker 2: was happening, and the heat would both be uncomfortable, but 295 00:14:52,400 --> 00:14:53,840 Speaker 2: also the battery would die relicly. 296 00:14:53,920 --> 00:14:55,800 Speaker 3: There were all these pugs set fire to your shirt. 297 00:14:56,040 --> 00:14:59,440 Speaker 5: Okay, Well, the biggest issue is that you know, voice 298 00:14:59,480 --> 00:15:04,480 Speaker 5: interact already is not a perfect science. Perfect science is 299 00:15:04,640 --> 00:15:07,080 Speaker 5: point and click with your computer or touch screen on 300 00:15:07,160 --> 00:15:11,520 Speaker 5: your iPad or phone or whatever. Right, but interactivity over 301 00:15:11,600 --> 00:15:14,200 Speaker 5: voice sometimes it doesn't understand you. It's difficult to go 302 00:15:14,280 --> 00:15:17,760 Speaker 5: back and forth. But theirs was just so slow. It 303 00:15:17,840 --> 00:15:21,720 Speaker 5: just didn't work properly. That the bar was already so high, 304 00:15:21,760 --> 00:15:25,040 Speaker 5: and they just did a horrible job implementation wise. The 305 00:15:25,080 --> 00:15:27,240 Speaker 5: other thing they tried to do was replace the display 306 00:15:27,480 --> 00:15:29,680 Speaker 5: with a laser system that you put your hand in 307 00:15:29,680 --> 00:15:31,680 Speaker 5: front of it and it points a laser, and so 308 00:15:31,760 --> 00:15:34,840 Speaker 5: it's a laser projection screen on your own band, and 309 00:15:34,880 --> 00:15:37,760 Speaker 5: it just did not work well. Cool concept, but didn't 310 00:15:37,760 --> 00:15:38,800 Speaker 5: work well. 311 00:15:38,840 --> 00:15:41,320 Speaker 4: Mark, you mentioned that you thought open Air, or I 312 00:15:41,360 --> 00:15:44,440 Speaker 4: think from what I remember, you mentioned that open Ai 313 00:15:45,160 --> 00:15:48,200 Speaker 4: by the in ten years would have an iPhone killer. 314 00:15:48,760 --> 00:15:50,240 Speaker 3: Do you think that is true? 315 00:15:50,280 --> 00:15:53,520 Speaker 4: Do you think Apple, for all of its muscle and 316 00:15:53,760 --> 00:15:57,840 Speaker 4: market dominance right now, could be taken out by open Ai. 317 00:15:58,400 --> 00:16:00,160 Speaker 7: I don't think they're going to be taken up I 318 00:16:00,240 --> 00:16:00,720 Speaker 7: open Ai. 319 00:16:00,920 --> 00:16:02,960 Speaker 3: I think iPhone killers happening. 320 00:16:03,400 --> 00:16:06,120 Speaker 5: I well, sure it could be an iPhone killer, but 321 00:16:06,240 --> 00:16:08,600 Speaker 5: it's not going to be an iPhone replacement, if that 322 00:16:08,640 --> 00:16:11,120 Speaker 5: makes sense. It might be better than the iPhone from 323 00:16:11,160 --> 00:16:14,680 Speaker 5: a technical perspective, but I think Apple's brand and marketing 324 00:16:14,760 --> 00:16:16,760 Speaker 5: is so strong that they're not going to go away, 325 00:16:17,200 --> 00:16:19,480 Speaker 5: and they're going to evolve very quickly. At some point, 326 00:16:19,520 --> 00:16:22,840 Speaker 5: these AI models are going to become commoditized. Eventually, Apple's 327 00:16:22,840 --> 00:16:25,640 Speaker 5: going to make acquisitions here, and so I think they'll 328 00:16:25,640 --> 00:16:28,120 Speaker 5: be able to get up the snuff in this AI 329 00:16:28,200 --> 00:16:31,760 Speaker 5: game in fairly short order. But like you mentioned, the 330 00:16:31,960 --> 00:16:34,680 Speaker 5: priority right now is becoming the AI middleman to play 331 00:16:34,720 --> 00:16:36,320 Speaker 5: nicely with everyone else's AI. 332 00:16:36,840 --> 00:16:40,080 Speaker 2: Mark before we wrap. I think a lot of people 333 00:16:40,120 --> 00:16:43,000 Speaker 2: who are maybe not following this conversation as closely as 334 00:16:43,040 --> 00:16:45,040 Speaker 2: we are, certainly not as closely as you are. I 335 00:16:45,040 --> 00:16:47,880 Speaker 2: have this kind of question over like why do you 336 00:16:47,880 --> 00:16:50,000 Speaker 2: have to keep replacing your iPhone? You know, there was 337 00:16:50,040 --> 00:16:53,400 Speaker 2: the battery Gate controversy that had to do with basically 338 00:16:53,400 --> 00:16:57,360 Speaker 2: class action lawsuit saying Apple was deliberately slowing down its batteries. 339 00:16:57,560 --> 00:17:00,640 Speaker 2: I think there's a feeling among a lot of users 340 00:17:00,720 --> 00:17:03,680 Speaker 2: that like, why these iPhones they kind of look the same, 341 00:17:03,840 --> 00:17:06,280 Speaker 2: Like why am I being made to upgrade I'm curious, 342 00:17:06,320 --> 00:17:10,440 Speaker 2: like what your personal upgrade philosophy is, Like, how often 343 00:17:10,480 --> 00:17:12,760 Speaker 2: do you get a new phone? Maybe you answer that, 344 00:17:12,800 --> 00:17:15,080 Speaker 2: but then answer it if you weren't Mark German, who's 345 00:17:15,080 --> 00:17:16,800 Speaker 2: got to be trying out the latest and greatest. 346 00:17:17,119 --> 00:17:20,000 Speaker 5: Me personally, I've upgraded every year to the new iPhone. 347 00:17:20,040 --> 00:17:22,160 Speaker 5: You probably don't need to get a new iPhone if 348 00:17:22,200 --> 00:17:24,880 Speaker 5: you are not deep in the technology. See the thing 349 00:17:24,920 --> 00:17:27,080 Speaker 5: with me is I write about Apple. I write about tech, 350 00:17:27,320 --> 00:17:31,080 Speaker 5: but that's not just my job. I live and breathe 351 00:17:31,520 --> 00:17:35,840 Speaker 5: Apple and tech and devices as my personal passion and 352 00:17:36,080 --> 00:17:39,320 Speaker 5: life's work and a hobby. And you know the thing 353 00:17:39,320 --> 00:17:41,840 Speaker 5: that I'm most interested in life. I love basketball too. 354 00:17:42,000 --> 00:17:43,960 Speaker 5: I love sports too. You know, some people are just 355 00:17:43,960 --> 00:17:46,600 Speaker 5: obsessed with that or cars. But for me, this is 356 00:17:46,680 --> 00:17:49,640 Speaker 5: not a job. It's my whole life. I am unique 357 00:17:49,720 --> 00:17:52,880 Speaker 5: in that from that standpoint. Someone who does not live 358 00:17:52,920 --> 00:17:56,040 Speaker 5: and breathe this stuff, you're probably good every three years, 359 00:17:56,280 --> 00:17:56,800 Speaker 5: maybe four. 360 00:17:57,520 --> 00:17:59,760 Speaker 2: Mark German, thank you for being here. Check out his 361 00:18:00,080 --> 00:18:02,720 Speaker 2: newsletter Power On. If you're not already a subscriber, you 362 00:18:02,760 --> 00:18:04,400 Speaker 2: should be. We really appreciate the time. 363 00:18:04,520 --> 00:18:05,520 Speaker 7: Thank you both so much. 364 00:18:13,320 --> 00:18:16,440 Speaker 4: All right, Max, I have a question for you Okay, 365 00:18:16,640 --> 00:18:19,040 Speaker 4: when was the last time you thought about what is 366 00:18:19,080 --> 00:18:19,879 Speaker 4: on your salad? 367 00:18:20,240 --> 00:18:23,440 Speaker 2: Stacy every single day? Every day I did. Is it 368 00:18:23,680 --> 00:18:26,000 Speaker 2: like more of a vinaigrette? Is it a sort of 369 00:18:26,080 --> 00:18:28,360 Speaker 2: a ranch a caesar? Yes? 370 00:18:28,440 --> 00:18:30,520 Speaker 4: I always wonder what you're thinking about when you're sitting 371 00:18:30,520 --> 00:18:33,560 Speaker 4: at your desk, And now I know. Actually a lot 372 00:18:33,560 --> 00:18:35,800 Speaker 4: of people do not spend as much time thinking about 373 00:18:36,119 --> 00:18:38,760 Speaker 4: what's on their salad as one must. But there is 374 00:18:38,800 --> 00:18:41,040 Speaker 4: a growing group of Americans who are thinking about it 375 00:18:41,160 --> 00:18:44,840 Speaker 4: a lot. And this week a big group of them, 376 00:18:45,000 --> 00:18:47,080 Speaker 4: hundreds of them, showed up outside of the Supreme Court. 377 00:18:47,320 --> 00:18:49,840 Speaker 4: They are part of the MAHA movement. This is make 378 00:18:49,880 --> 00:18:51,000 Speaker 4: America Healthy Again. 379 00:18:51,359 --> 00:18:52,400 Speaker 2: Yes, gotcha. 380 00:18:52,720 --> 00:18:55,679 Speaker 4: And this rally is organized around a Supreme Court decision 381 00:18:55,720 --> 00:18:58,359 Speaker 4: involving Bear, which is the company that makes the weak 382 00:18:58,440 --> 00:18:59,399 Speaker 4: killer round up. 383 00:18:59,480 --> 00:19:01,200 Speaker 2: They don't want pesticides on their salad. 384 00:19:01,359 --> 00:19:03,520 Speaker 3: It is the pesticides on the sality. 385 00:19:03,280 --> 00:19:05,680 Speaker 2: Actually round up as an herbicide, I believe, but I'm 386 00:19:05,680 --> 00:19:06,440 Speaker 2: not a scientist. 387 00:19:07,000 --> 00:19:11,680 Speaker 6: Pesticide is a term that applies to all the sides, 388 00:19:11,800 --> 00:19:13,920 Speaker 6: so herbicides are included in the term. 389 00:19:14,040 --> 00:19:17,359 Speaker 2: Oh thank you, and joining us now is business Suite 390 00:19:17,560 --> 00:19:22,040 Speaker 2: side expert Dina Shanker. She's also a commist here, our colleague. 391 00:19:22,160 --> 00:19:24,359 Speaker 2: She was at the rally. She wrote about it in 392 00:19:24,400 --> 00:19:27,600 Speaker 2: her column Extra Salt, Dina, welcome back to everybody's business. 393 00:19:27,640 --> 00:19:28,760 Speaker 9: Thank you so much for having me. 394 00:19:28,880 --> 00:19:32,040 Speaker 4: All right, So, Dina, why were these protesters outside the 395 00:19:32,040 --> 00:19:34,119 Speaker 4: Supreme Court talk to us about this case? 396 00:19:34,480 --> 00:19:34,920 Speaker 3: Okay? 397 00:19:34,960 --> 00:19:35,240 Speaker 2: Great? 398 00:19:35,359 --> 00:19:39,520 Speaker 6: So we all know Monsanto the company that makes or 399 00:19:39,680 --> 00:19:42,280 Speaker 6: that made glyfa sate also known as Roundup. They got 400 00:19:42,280 --> 00:19:47,159 Speaker 6: acquired by Bayer some years back, and since then, Beyer 401 00:19:47,240 --> 00:19:51,320 Speaker 6: has been hit by lawsuit after lawsuit by plaintiffs claiming 402 00:19:51,440 --> 00:19:53,840 Speaker 6: that glyfasate caused their cancer. 403 00:19:54,240 --> 00:19:55,360 Speaker 9: They have had to pay out. 404 00:19:55,440 --> 00:19:58,840 Speaker 3: They ate vegetables that had been treated with this. 405 00:19:58,960 --> 00:20:01,320 Speaker 6: A lot of farmers and people that work with the 406 00:20:01,359 --> 00:20:04,480 Speaker 6: pesticide got sick from working with it. But although I 407 00:20:04,520 --> 00:20:08,320 Speaker 6: can't say for sure whether there's also there's so many 408 00:20:08,440 --> 00:20:09,760 Speaker 6: of these cases, I could. 409 00:20:09,640 --> 00:20:11,920 Speaker 9: Not tell you whether there's consumers in there too. 410 00:20:12,359 --> 00:20:16,679 Speaker 6: So far, already Beyer has paid out over ten billion dollars, 411 00:20:16,800 --> 00:20:20,400 Speaker 6: including legal costs, but as well as payouts because juries have. 412 00:20:20,400 --> 00:20:21,879 Speaker 9: Found in favor of the plaintiffs. 413 00:20:21,960 --> 00:20:24,080 Speaker 6: So Beyer, right now in front of the Supreme Court 414 00:20:24,119 --> 00:20:28,879 Speaker 6: is trying to get a liability shield, specifically about their 415 00:20:29,000 --> 00:20:33,360 Speaker 6: failure to warn over the cause of cancer and relationships 416 00:20:33,359 --> 00:20:34,120 Speaker 6: with clife essafe. 417 00:20:34,160 --> 00:20:37,359 Speaker 4: So they're getting in trouble for not saying using this 418 00:20:37,440 --> 00:20:39,000 Speaker 4: product could harm you. 419 00:20:39,080 --> 00:20:39,520 Speaker 9: That's right. 420 00:20:39,840 --> 00:20:41,399 Speaker 6: They're trying to say, we don't have to put it 421 00:20:41,440 --> 00:20:43,480 Speaker 6: on the label because the EPA said we don't have 422 00:20:43,480 --> 00:20:44,359 Speaker 6: to put it on the label. 423 00:20:44,520 --> 00:20:46,040 Speaker 9: If the EPA says we don't have to put. 424 00:20:45,880 --> 00:20:47,400 Speaker 6: It on the label, we don't have to tell anybody 425 00:20:47,400 --> 00:20:51,359 Speaker 6: about it, it's fine. There's a lot of opposition to 426 00:20:51,560 --> 00:20:55,560 Speaker 6: them getting this liability shield. There's also I believe around 427 00:20:55,600 --> 00:21:00,640 Speaker 6: sixty thousand claims still outstanding against Beyer. May or may 428 00:21:00,640 --> 00:21:03,640 Speaker 6: not be impacted by the decision of the court. Beyer 429 00:21:04,080 --> 00:21:06,040 Speaker 6: has tried in other ways to get this kind of 430 00:21:06,040 --> 00:21:08,560 Speaker 6: liability shield. They're currently trying with the Farm Bill to 431 00:21:08,560 --> 00:21:10,919 Speaker 6: get it written into that. But this was about the 432 00:21:10,960 --> 00:21:14,760 Speaker 6: Supreme Court decision. Now that day at the Supreme Court, 433 00:21:14,960 --> 00:21:20,520 Speaker 6: who was arguing in favor of Beyer, but Trump administration lawyers, 434 00:21:21,359 --> 00:21:24,320 Speaker 6: which did not sit well with the Make America Healthy 435 00:21:24,320 --> 00:21:28,960 Speaker 6: Again contingent. RFK Junior was actually one of the lawyers 436 00:21:29,040 --> 00:21:32,600 Speaker 6: on the trial that found Monsanto was liable. 437 00:21:32,800 --> 00:21:34,960 Speaker 3: So he went after montandle Yes a. 438 00:21:34,880 --> 00:21:37,719 Speaker 6: Long time ago, and so he's been anti glyfasate. 439 00:21:37,200 --> 00:21:38,119 Speaker 9: For a very long time. 440 00:21:38,359 --> 00:21:42,360 Speaker 6: So his followers, the Maha voters, they are fully on 441 00:21:42,480 --> 00:21:45,920 Speaker 6: board with glivasate causes cancer and people should be warned 442 00:21:45,920 --> 00:21:47,600 Speaker 6: about it. We should reduce our use, we should get 443 00:21:47,640 --> 00:21:49,000 Speaker 6: rid of it. You know, you talk to people, they 444 00:21:49,040 --> 00:21:51,240 Speaker 6: have different plans for sort of what to do about it. 445 00:21:51,400 --> 00:21:54,720 Speaker 6: But the Trump administration has come out very pro glyfasate. 446 00:21:54,760 --> 00:21:57,560 Speaker 6: They have not only submitted an amicus brief in the 447 00:21:57,600 --> 00:22:00,320 Speaker 6: Supreme Court case and argued on its behalf. Trump also 448 00:22:00,320 --> 00:22:04,360 Speaker 6: put out an executive order basically saying that glivasate production 449 00:22:04,480 --> 00:22:07,160 Speaker 6: is a matter of national security, so that we can 450 00:22:07,160 --> 00:22:08,200 Speaker 6: have Yeah, we should say. 451 00:22:08,240 --> 00:22:11,480 Speaker 2: The argument that they're making is that this is a 452 00:22:11,640 --> 00:22:14,879 Speaker 2: really important technology for farming and that it's safe, and 453 00:22:14,880 --> 00:22:19,000 Speaker 2: that if this were not used, it would be very 454 00:22:19,080 --> 00:22:22,080 Speaker 2: damaging to American agriculture, that we wouldn't make as much 455 00:22:22,080 --> 00:22:24,479 Speaker 2: food as we make. And I think it has been 456 00:22:24,520 --> 00:22:29,160 Speaker 2: an incredibly effective herbicide. In addition to creating a swirl 457 00:22:29,400 --> 00:22:34,680 Speaker 2: of concern around around danger, harmful harm for agriculture workers 458 00:22:34,680 --> 00:22:37,000 Speaker 2: first and foremost, but also consumers, and that's I think 459 00:22:37,040 --> 00:22:39,200 Speaker 2: where the Maha movement comes in, right, these are people 460 00:22:39,320 --> 00:22:40,280 Speaker 2: who don't want to eat this. 461 00:22:40,680 --> 00:22:44,879 Speaker 6: Well, it's also a lot of regenerative agriculture advocates, and 462 00:22:45,240 --> 00:22:47,240 Speaker 6: there's a lot of talk about, yes, we can't just 463 00:22:47,280 --> 00:22:49,240 Speaker 6: flip a switch, right, we can't just get rid of 464 00:22:49,240 --> 00:22:53,160 Speaker 6: glivasate tomorrow. That would be very detrimental to food security 465 00:22:53,200 --> 00:22:55,399 Speaker 6: in this country. But we can phase it out. There 466 00:22:55,400 --> 00:22:57,439 Speaker 6: are other ways to farm. A lot of weeds are 467 00:22:57,440 --> 00:23:01,439 Speaker 6: now completely are growing resistant to round up anyway, so 468 00:23:01,480 --> 00:23:04,000 Speaker 6: it's not as effective as it used to be. So 469 00:23:04,520 --> 00:23:08,240 Speaker 6: there's a lot of people that expected this administration to 470 00:23:08,359 --> 00:23:12,040 Speaker 6: be more supportive of that position that glyfasate can be 471 00:23:12,400 --> 00:23:16,080 Speaker 6: scaled down and maybe we could align with European standards 472 00:23:16,160 --> 00:23:19,840 Speaker 6: on pesticides. But instead we've seen that this administration is 473 00:23:20,119 --> 00:23:24,240 Speaker 6: very much aligned with the agricultural industry, which very much 474 00:23:24,320 --> 00:23:27,560 Speaker 6: wants these pesticides to stay and use at current levels. 475 00:23:28,040 --> 00:23:31,119 Speaker 2: Okay, so we talked about the Supreme Court. There's this 476 00:23:31,160 --> 00:23:33,879 Speaker 2: thing going on in the Supreme Court. Trump administration and 477 00:23:33,960 --> 00:23:37,119 Speaker 2: Big Agriculture Bear which owns mont Santo, having an argument. 478 00:23:37,520 --> 00:23:40,280 Speaker 2: And then there's the Maha movement and you kind of 479 00:23:40,359 --> 00:23:42,600 Speaker 2: hinted at this, or we mentioned at the top, but 480 00:23:42,880 --> 00:23:47,960 Speaker 2: these Maha protesters are in front of the Supreme Court 481 00:23:48,200 --> 00:23:51,520 Speaker 2: or in Washington making their voices heard, which is super 482 00:23:51,520 --> 00:23:54,840 Speaker 2: interesting because first of all, they had been pro Trump, 483 00:23:54,880 --> 00:23:57,800 Speaker 2: they had helped Donald Trump get elected. It's yet another 484 00:23:57,880 --> 00:24:01,720 Speaker 2: instance of a sort of part of Trump's coalition seeming 485 00:24:01,720 --> 00:24:02,560 Speaker 2: to turn against him. 486 00:24:02,720 --> 00:24:05,720 Speaker 6: Yes, definitely, And I should say the turnout was you 487 00:24:05,760 --> 00:24:07,960 Speaker 6: were there, Yeah, I was there. It was Monday morning 488 00:24:08,000 --> 00:24:10,119 Speaker 6: in front of the Supreme Court. I was expecting a 489 00:24:10,160 --> 00:24:13,879 Speaker 6: bigger turnout, but it was a bipartisan lineup of speakers. 490 00:24:14,200 --> 00:24:17,440 Speaker 6: Democrats were also speaking as well as like MAHA leaders 491 00:24:17,480 --> 00:24:22,639 Speaker 6: and elected Republicans, but the crowd was mostly Maha people, 492 00:24:22,720 --> 00:24:26,280 Speaker 6: So people that voted for Trump, for Kennedy. Everyone was 493 00:24:26,359 --> 00:24:29,240 Speaker 6: upset with Trump. Everyone also was, I want to say, 494 00:24:30,000 --> 00:24:33,199 Speaker 6: like making excuses for Kennedy for the fact that this 495 00:24:33,320 --> 00:24:35,760 Speaker 6: was happening on his watch. He's done everything he can. 496 00:24:35,920 --> 00:24:39,240 Speaker 6: This is not his You're spoken up about this he did. 497 00:24:39,320 --> 00:24:43,560 Speaker 6: When the executive order came out, he originally kind of 498 00:24:43,560 --> 00:24:46,040 Speaker 6: backed it, saying it is a matter of national security, 499 00:24:46,040 --> 00:24:47,439 Speaker 6: but then he backtracked on it. 500 00:24:47,680 --> 00:24:49,760 Speaker 3: He round up around, Yeah. 501 00:24:49,600 --> 00:24:53,240 Speaker 6: Exactly, and like he's clearly he's clearly not happy with it, 502 00:24:53,320 --> 00:24:55,760 Speaker 6: but he's it's like, I mean, he's in a tough 503 00:24:55,760 --> 00:24:58,840 Speaker 6: spot because Trump is his boss and this is quite 504 00:24:58,920 --> 00:25:01,320 Speaker 6: antithetical to everything he has ever stood for. 505 00:25:01,560 --> 00:25:03,680 Speaker 3: So, Dina, you brought us a recording? 506 00:25:03,880 --> 00:25:04,080 Speaker 2: Yeah? 507 00:25:04,160 --> 00:25:06,160 Speaker 3: So uh and what are we about to hear? 508 00:25:06,440 --> 00:25:10,640 Speaker 6: Vonnie Harry, also known as food Babe online, she has 509 00:25:10,680 --> 00:25:12,280 Speaker 6: been an action influencer. 510 00:25:12,560 --> 00:25:14,320 Speaker 3: She is I would say she long. 511 00:25:14,160 --> 00:25:15,800 Speaker 9: Predates the influencer era. 512 00:25:16,119 --> 00:25:20,119 Speaker 6: She's a food activist who riles up all kinds of 513 00:25:20,160 --> 00:25:21,720 Speaker 6: feelings in different kinds of people. 514 00:25:21,880 --> 00:25:23,480 Speaker 9: She's been doing this for a long time. 515 00:25:23,920 --> 00:25:27,080 Speaker 6: And she used to be a Democrat and then she 516 00:25:27,240 --> 00:25:31,280 Speaker 6: switched to Republican for MAHAK once Kennedy picked that up. 517 00:25:31,359 --> 00:25:34,760 Speaker 6: I think that was when Maha really started gaining broad support. 518 00:25:34,840 --> 00:25:38,280 Speaker 6: Was because people can see those colors, they can see 519 00:25:38,320 --> 00:25:39,760 Speaker 6: it in the food that they're being served. 520 00:25:39,800 --> 00:25:41,920 Speaker 9: And then when she spoke at the. 521 00:25:42,040 --> 00:25:45,400 Speaker 6: At the rally, she was really making it clear that 522 00:25:45,440 --> 00:25:49,879 Speaker 6: she is extremely not on team Trump anymore. 523 00:25:50,320 --> 00:25:56,920 Speaker 1: Right now, inside that building, Monsanto Bear will be arguing 524 00:25:56,960 --> 00:25:59,520 Speaker 1: for the right to poison us and not be held 525 00:25:59,560 --> 00:26:03,040 Speaker 1: account of Let me say that again, they want to 526 00:26:03,080 --> 00:26:05,360 Speaker 1: give us cancer and get away with it. 527 00:26:06,320 --> 00:26:09,119 Speaker 9: We are here to make sure that does not happen, 528 00:26:10,000 --> 00:26:11,840 Speaker 9: and we are not going to leave here quietly. 529 00:26:12,920 --> 00:26:15,960 Speaker 2: Wow. The thing that I find so interesting about this, 530 00:26:16,119 --> 00:26:19,720 Speaker 2: and you're reporting on this, Dina, is that this movement 531 00:26:19,840 --> 00:26:21,800 Speaker 2: has been around for a very long time. There have 532 00:26:21,840 --> 00:26:25,840 Speaker 2: been people, especially like on the left, yelling about Monsanto 533 00:26:26,480 --> 00:26:28,639 Speaker 2: for I feel like as long as I've been alive, 534 00:26:29,240 --> 00:26:33,760 Speaker 2: and none of it has had I think, much political resonance. 535 00:26:34,040 --> 00:26:37,239 Speaker 2: There's obviously, like organic foods have grown a lot, but like, 536 00:26:37,320 --> 00:26:41,160 Speaker 2: we hadn't seen it breakthrough politically until twenty twenty four. 537 00:26:41,400 --> 00:26:43,760 Speaker 2: And I'm curious why you think that happened. 538 00:26:44,440 --> 00:26:47,760 Speaker 6: So that's such a great question because that is something 539 00:26:47,920 --> 00:26:52,400 Speaker 6: that I have asked a lot of people, including elected Democrats, 540 00:26:52,640 --> 00:26:58,320 Speaker 6: because food issues were democratic issues, they just never really 541 00:26:58,359 --> 00:26:59,760 Speaker 6: talked about them as the issue. 542 00:27:00,200 --> 00:27:01,280 Speaker 9: And that's I mean. 543 00:27:01,359 --> 00:27:05,520 Speaker 6: Remember, not only did Michelle Obama make school nutrition rules, 544 00:27:05,800 --> 00:27:09,240 Speaker 6: but she planted an organic garden on the White House lawn. 545 00:27:09,640 --> 00:27:14,560 Speaker 6: And the pesticide industry, the agricultural chemical industry, how whatever 546 00:27:14,600 --> 00:27:17,159 Speaker 6: euphemism we'd like to use for them, they wrote her 547 00:27:17,160 --> 00:27:19,720 Speaker 6: a letter and then a public letter writing campaign urging 548 00:27:19,760 --> 00:27:22,680 Speaker 6: her to use their crop protection tools as they refer 549 00:27:22,760 --> 00:27:26,040 Speaker 6: to them, and the Obamas didn't even respond to it. 550 00:27:26,160 --> 00:27:29,080 Speaker 6: And so there's a question of, like, the Democrats have 551 00:27:29,200 --> 00:27:33,119 Speaker 6: always had this position, why didn't they push it harder. 552 00:27:33,600 --> 00:27:35,800 Speaker 6: I think it's been a huge miss for them to 553 00:27:35,960 --> 00:27:37,480 Speaker 6: not be pushing this harder. 554 00:27:37,560 --> 00:27:40,159 Speaker 9: I mean it it is like, by. 555 00:27:40,040 --> 00:27:42,680 Speaker 6: Definition, a kitchen table issue, because it's not the food 556 00:27:42,800 --> 00:27:45,840 Speaker 6: on our kitchen table, and they just haven't. They just 557 00:27:45,920 --> 00:27:50,120 Speaker 6: have been pushing it here and there. The agricultural industry 558 00:27:50,160 --> 00:27:54,359 Speaker 6: is also very powerful and very dispersed around the country. 559 00:27:54,400 --> 00:27:56,200 Speaker 6: Every single state in this country has some kind of 560 00:27:56,240 --> 00:27:57,400 Speaker 6: agricultural product. 561 00:27:58,040 --> 00:28:00,880 Speaker 9: And so you know, the Democrats, I. 562 00:28:00,800 --> 00:28:04,920 Speaker 6: Think had so many opportunities to really own the food 563 00:28:04,960 --> 00:28:06,680 Speaker 6: issue and never took it. 564 00:28:07,480 --> 00:28:10,719 Speaker 2: During Trump's campaign in twenty twenty four, he did this 565 00:28:10,760 --> 00:28:14,120 Speaker 2: thing where he he was down it was brat summer. 566 00:28:14,240 --> 00:28:17,199 Speaker 2: Did I say that right? I can't. And Kamala was 567 00:28:17,200 --> 00:28:19,760 Speaker 2: on the rise. There's all this energy among Democrats and 568 00:28:19,800 --> 00:28:24,240 Speaker 2: Trump I think frantically started embracing all sorts of weird causes. 569 00:28:24,359 --> 00:28:26,480 Speaker 2: And I don't mean weird, but things that were fringe. 570 00:28:26,640 --> 00:28:31,359 Speaker 2: So he embraced crypto, he started talking about We're gonna 571 00:28:31,720 --> 00:28:34,240 Speaker 2: uncover if aliens are real. I mean he literally said 572 00:28:34,240 --> 00:28:37,480 Speaker 2: that during the campaign files Epstein files right in retrospect. 573 00:28:37,760 --> 00:28:40,959 Speaker 2: Big mistake, big political mistake for him and Maha. He 574 00:28:41,000 --> 00:28:43,320 Speaker 2: did all of these things, and he embraced the kind 575 00:28:43,400 --> 00:28:46,000 Speaker 2: of the sort of corners of the America First Movement 576 00:28:46,120 --> 00:28:48,320 Speaker 2: or whatever that are very against foreign wars. He did 577 00:28:48,360 --> 00:28:51,080 Speaker 2: all these things, He made all these promises, and in 578 00:28:51,200 --> 00:28:54,000 Speaker 2: all sorts of ways. It just may be very hard 579 00:28:54,280 --> 00:28:58,720 Speaker 2: to be simultaneously like a pro business, pro growth Republican 580 00:28:59,200 --> 00:29:02,680 Speaker 2: and somebody who is gonna satisfy the concerns of people 581 00:29:02,680 --> 00:29:05,640 Speaker 2: who really are upset about the power big agriculture. 582 00:29:06,600 --> 00:29:09,400 Speaker 6: Yeah, I think that's totally right. I also think that 583 00:29:09,480 --> 00:29:12,280 Speaker 6: they're gonna want to point to what they would consider 584 00:29:12,320 --> 00:29:15,800 Speaker 6: their major achievements, and the big one being back to 585 00:29:15,840 --> 00:29:18,280 Speaker 6: the food dies, that they got a bunch of companies 586 00:29:18,280 --> 00:29:22,000 Speaker 6: to voluntarily commit to removing food dies. But I would say, okay, 587 00:29:22,240 --> 00:29:25,320 Speaker 6: you need to do some rulemaking to actually ban those 588 00:29:25,320 --> 00:29:28,520 Speaker 6: food dies, to not just ensure that those companies will 589 00:29:28,560 --> 00:29:31,760 Speaker 6: drop them, but also that every company that makes food 590 00:29:31,800 --> 00:29:35,440 Speaker 6: can't use them. But even if they did that glyf 591 00:29:35,600 --> 00:29:41,760 Speaker 6: estate is so much more foundational to our food system 592 00:29:42,040 --> 00:29:45,240 Speaker 6: and to what a lot of people in Maha want, 593 00:29:45,400 --> 00:29:50,040 Speaker 6: which is that food should be from their perspective, safe 594 00:29:50,040 --> 00:29:53,240 Speaker 6: for everyone, or at least safe for them, because a 595 00:29:53,280 --> 00:29:54,640 Speaker 6: lot of this comes down to can you. 596 00:29:54,640 --> 00:29:56,680 Speaker 9: Afford to buy the organic. 597 00:29:56,280 --> 00:29:58,720 Speaker 6: Food because a lot of people I spoke with their 598 00:29:59,080 --> 00:30:02,560 Speaker 6: only eat or food, and glyf estate is used so. 599 00:30:02,680 --> 00:30:05,360 Speaker 9: Widely you can't really avoid it. 600 00:30:05,440 --> 00:30:08,280 Speaker 3: So what happens now with this case, we wait. 601 00:30:08,400 --> 00:30:11,520 Speaker 6: But for now I know they're trying to push through 602 00:30:11,960 --> 00:30:14,440 Speaker 6: some kind of liability shield through the farm Bill. I'm 603 00:30:14,440 --> 00:30:16,160 Speaker 6: not sure what the latest is on that. That was 604 00:30:16,200 --> 00:30:18,400 Speaker 6: like very much in motion while I was in DC 605 00:30:18,520 --> 00:30:22,520 Speaker 6: earlier this week, and I think Bayer has like a 606 00:30:22,600 --> 00:30:27,040 Speaker 6: big They have a lot of different, multifaceted strategy to 607 00:30:27,680 --> 00:30:32,000 Speaker 6: try to get themselves some kind of federal liability shield. 608 00:30:32,000 --> 00:30:34,480 Speaker 6: They actually have pushed it through in certain states, but 609 00:30:34,640 --> 00:30:36,080 Speaker 6: now they want it at a national level. 610 00:30:36,120 --> 00:30:37,640 Speaker 2: I just want to say, before we let Dana go, 611 00:30:38,480 --> 00:30:41,520 Speaker 2: if you're worried about Maha, the Maha part of Trump's 612 00:30:41,520 --> 00:30:45,240 Speaker 2: coalition collapsing, the alien coalition. He's thinking about it, because 613 00:30:45,720 --> 00:30:49,720 Speaker 2: one week ago he said at a Conservative event. Quote. 614 00:30:49,760 --> 00:30:52,880 Speaker 2: We found many very interesting documents, I must say, and 615 00:30:52,960 --> 00:30:56,360 Speaker 2: the first releases, these are first releases about aliens, will 616 00:30:56,400 --> 00:30:59,280 Speaker 2: begin very soon, so you can go out and see 617 00:30:59,280 --> 00:31:02,800 Speaker 2: if that phenomena is correct. So the alien voters are 618 00:31:02,840 --> 00:31:04,960 Speaker 2: going to be thrown a bone quote very soon. 619 00:31:05,080 --> 00:31:07,080 Speaker 6: But that's just I just need to say, that's just silly, 620 00:31:07,120 --> 00:31:09,800 Speaker 6: because you all know that nothing is going to be definitive. 621 00:31:10,360 --> 00:31:12,600 Speaker 2: I think there are people who are just like, hold on, 622 00:31:13,120 --> 00:31:16,000 Speaker 2: and I understand it because if aliens are real, that's 623 00:31:16,000 --> 00:31:16,680 Speaker 2: a big deal. 624 00:31:16,800 --> 00:31:18,520 Speaker 3: I mean, that is a real. 625 00:31:19,200 --> 00:31:20,640 Speaker 9: Of course aliens are. 626 00:31:22,800 --> 00:31:23,480 Speaker 3: I love this. 627 00:31:23,960 --> 00:31:25,840 Speaker 9: What do we think We're the only people, the only 628 00:31:25,880 --> 00:31:27,040 Speaker 9: living creatures. 629 00:31:26,600 --> 00:31:29,520 Speaker 2: In the I think we found the first single issue 630 00:31:29,560 --> 00:31:33,480 Speaker 2: alien voter here, Dina Shanker, thank you for being here. There. 631 00:31:33,520 --> 00:31:36,160 Speaker 3: She's definitely not the first voter. 632 00:31:36,320 --> 00:31:38,640 Speaker 4: There are a lot of single issue alien voters. 633 00:31:38,640 --> 00:31:40,680 Speaker 6: You can't vote on it because there's never going to 634 00:31:40,720 --> 00:31:42,200 Speaker 6: be anything to figure Trump. 635 00:31:42,040 --> 00:31:53,720 Speaker 2: Is your guys, Stacy. We've been here before. We will 636 00:31:53,720 --> 00:31:57,440 Speaker 2: be here again. It is time for our favorite news 637 00:31:57,440 --> 00:32:07,080 Speaker 2: segment this week in prediction markets. Okay, so the reason 638 00:32:07,600 --> 00:32:11,320 Speaker 2: I think we're talking about this is because Bloomberg published 639 00:32:11,320 --> 00:32:15,040 Speaker 2: an analysis a few days ago about bets on polymarket. 640 00:32:15,120 --> 00:32:17,960 Speaker 2: That's one of the two big prediction market sites along 641 00:32:17,960 --> 00:32:22,760 Speaker 2: with Calshi and super interesting. The top line is basically 642 00:32:22,920 --> 00:32:27,080 Speaker 2: most people on these prediction markets are losing money. And 643 00:32:27,920 --> 00:32:30,160 Speaker 2: then the other thing is that people who are making 644 00:32:30,200 --> 00:32:36,240 Speaker 2: money are largely high frequency traders, people using bots, essentially 645 00:32:36,400 --> 00:32:39,600 Speaker 2: professionals who are getting in and out of bets really 646 00:32:39,680 --> 00:32:43,640 Speaker 2: quickly disproportionately. That's where most of the profits are. 647 00:32:44,240 --> 00:32:46,880 Speaker 4: It's interesting because that is a little bit similar to 648 00:32:47,560 --> 00:32:50,880 Speaker 4: the actual like the stock markets in a second place, 649 00:32:50,960 --> 00:32:54,080 Speaker 4: where bots have really have a huge edge because they 650 00:32:54,120 --> 00:32:56,520 Speaker 4: can do things so quickly and move so quickly. 651 00:32:57,040 --> 00:33:00,640 Speaker 2: Yeah, and I think people know this, maybe in intuitively. 652 00:33:00,840 --> 00:33:05,720 Speaker 2: But the thing is the way these companies promote these tools, 653 00:33:06,280 --> 00:33:10,240 Speaker 2: they don't really mention the fact that the successful users 654 00:33:10,240 --> 00:33:14,560 Speaker 2: are professionals. You're essentially competing with Ken Griffin and other 655 00:33:15,560 --> 00:33:18,960 Speaker 2: high frequency trader types, not literally Citadel, but people who 656 00:33:18,960 --> 00:33:21,600 Speaker 2: are using similar tactics to the ones that are used 657 00:33:21,640 --> 00:33:24,120 Speaker 2: in the stock market. It's the same reason why most 658 00:33:24,520 --> 00:33:26,960 Speaker 2: sort of investment professionals tell you not to day trade, 659 00:33:27,000 --> 00:33:28,880 Speaker 2: even if you are right, and this came up in 660 00:33:28,920 --> 00:33:31,360 Speaker 2: the research too, even if your intuition is right. Like 661 00:33:31,400 --> 00:33:34,480 Speaker 2: you bet on a thing that is going to happen 662 00:33:34,520 --> 00:33:37,120 Speaker 2: and actually happens, you're going to get a worse price 663 00:33:37,560 --> 00:33:41,160 Speaker 2: than one of these bots. All right, Two other stories. First, 664 00:33:41,160 --> 00:33:43,479 Speaker 2: one that I wanted to just mention very quickly is 665 00:33:43,480 --> 00:33:47,920 Speaker 2: that this question over whether these prediction markets are even legal, 666 00:33:47,960 --> 00:33:51,240 Speaker 2: a lot of states are pursuing litigation. We saw another 667 00:33:51,640 --> 00:33:56,200 Speaker 2: lawsuit recently, New York's Attorney generals suing Coinbase and Gemini 668 00:33:56,320 --> 00:33:58,360 Speaker 2: for what, according to the State of New York, are 669 00:33:58,440 --> 00:34:01,600 Speaker 2: running illegal gambling operations. The companies say no, no, no, 670 00:34:01,840 --> 00:34:05,120 Speaker 2: totally legal because we are regulated by the CFTC, which 671 00:34:05,160 --> 00:34:08,560 Speaker 2: regulates commodities. The CFTC is suing the State of New York. 672 00:34:08,640 --> 00:34:10,239 Speaker 2: This is going to continue. The thing about this that 673 00:34:10,280 --> 00:34:11,600 Speaker 2: I found funny is just like the. 674 00:34:11,520 --> 00:34:14,640 Speaker 3: Coinbase is crypto right, prediction market? 675 00:34:14,719 --> 00:34:17,719 Speaker 2: No, No, it is prediction markets. Both of these companies 676 00:34:17,760 --> 00:34:21,920 Speaker 2: have expanded to prediction markets because they're just into whatever 677 00:34:22,160 --> 00:34:23,520 Speaker 2: the kids on. 678 00:34:23,520 --> 00:34:26,200 Speaker 3: Poly market about whether bitcoin's going up. 679 00:34:26,360 --> 00:34:28,759 Speaker 2: No, Coinbase just has a prediction market, and. 680 00:34:28,800 --> 00:34:30,279 Speaker 3: So what do you get on whether or not it's 681 00:34:30,280 --> 00:34:30,840 Speaker 3: going to snow? 682 00:34:31,200 --> 00:34:33,399 Speaker 2: Yeah, they have done their own prediction market as has 683 00:34:33,400 --> 00:34:37,040 Speaker 2: this other crypto thing Gemini. It's basically like this is 684 00:34:37,080 --> 00:34:40,040 Speaker 2: the hot category, so they're getting into it. And that 685 00:34:40,080 --> 00:34:41,799 Speaker 2: I found that thought was the most surprising thing at all. 686 00:34:41,840 --> 00:34:45,000 Speaker 2: Like I didn't even know coinbase had a prediction market neither, 687 00:34:45,360 --> 00:34:45,760 Speaker 2: I guess. 688 00:34:45,719 --> 00:34:46,719 Speaker 3: Clearly didn't know. 689 00:34:47,440 --> 00:34:51,560 Speaker 2: Okay, last one people probably saw this, but a US 690 00:34:51,640 --> 00:34:55,040 Speaker 2: Special Forces sergeant who was involved in the raid in 691 00:34:55,080 --> 00:34:59,439 Speaker 2: which the United States captured Nicolas Maduro, the former leader 692 00:34:59,440 --> 00:35:04,120 Speaker 2: of Venezuela, was arrested for betting thirty three thousand dollars 693 00:35:04,560 --> 00:35:07,960 Speaker 2: on the outcome of the raid. We had a insider 694 00:35:08,440 --> 00:35:09,799 Speaker 2: raid trading. Well. 695 00:35:09,840 --> 00:35:13,160 Speaker 4: I remember when this came out someone had placed a 696 00:35:13,160 --> 00:35:16,160 Speaker 4: big bet and nobody knew who. But the timing was 697 00:35:16,200 --> 00:35:19,360 Speaker 4: really suspicious, that because there was an ongoing bet I 698 00:35:19,400 --> 00:35:23,560 Speaker 4: think on polymarket or something about when this might happen, 699 00:35:24,239 --> 00:35:27,040 Speaker 4: the invasion of Venezuela, and I think also the capture 700 00:35:27,120 --> 00:35:33,560 Speaker 4: of Nicholas Moduo, and I remember people speculating about who 701 00:35:33,760 --> 00:35:35,480 Speaker 4: might have had this insider information. 702 00:35:35,520 --> 00:35:37,400 Speaker 3: Apparently now we know, at least in. 703 00:35:37,400 --> 00:35:39,640 Speaker 2: Part all right, I want you to try to guess 704 00:35:39,640 --> 00:35:41,959 Speaker 2: how President Trump reacted to the news of this story. 705 00:35:41,960 --> 00:35:44,560 Speaker 2: When he was asked at the White House by a reporter. 706 00:35:44,840 --> 00:35:48,240 Speaker 4: President Trump is a practical man and a new prediction market. 707 00:35:48,680 --> 00:35:52,760 Speaker 4: I wonder if he asked to split the profits he said. 708 00:35:53,200 --> 00:35:55,839 Speaker 2: And this is according to a CNBC story that wrote 709 00:35:55,840 --> 00:35:58,040 Speaker 2: about this quote. I don't know about it, but he 710 00:35:58,160 --> 00:36:00,640 Speaker 2: was betting that they would get him. Was he betting 711 00:36:00,680 --> 00:36:02,120 Speaker 2: that they would get him or they wouldn't get him. 712 00:36:02,160 --> 00:36:04,759 Speaker 2: He's told that he was betting on the raid, and 713 00:36:05,040 --> 00:36:07,160 Speaker 2: he seemed Trump seemed to be pleased with that. He said, 714 00:36:07,200 --> 00:36:09,520 Speaker 2: that's like Pete Rose betting on his own team. Pete 715 00:36:09,560 --> 00:36:12,960 Speaker 2: Rose being the baseball player who was banned for Baseball 716 00:36:13,000 --> 00:36:16,279 Speaker 2: for betting. Many people feel unfairly. I mean, there's a 717 00:36:16,280 --> 00:36:19,560 Speaker 2: big conversation in baseball. Trump clearly following that because he said, 718 00:36:19,680 --> 00:36:21,480 Speaker 2: Pete Rose, they kept him out of the Hall of 719 00:36:21,520 --> 00:36:23,200 Speaker 2: Fame because he bet on his own team. Now, if 720 00:36:23,239 --> 00:36:25,359 Speaker 2: he beat against this team, that would be no good. 721 00:36:25,440 --> 00:36:27,320 Speaker 2: But he bet on his own team. And then he said, 722 00:36:27,440 --> 00:36:30,200 Speaker 2: I'll look into it. So I think Trump is like 723 00:36:30,600 --> 00:36:32,680 Speaker 2: a little bit okay with this because at least he 724 00:36:32,719 --> 00:36:33,759 Speaker 2: was betting on the raid. 725 00:36:33,880 --> 00:36:34,080 Speaker 3: Yeah. 726 00:36:34,080 --> 00:36:36,200 Speaker 4: I mean, they do say you're always supposed to bet 727 00:36:36,239 --> 00:36:38,080 Speaker 4: on yourself, and now. 728 00:36:38,239 --> 00:36:40,760 Speaker 3: You can do that on prediction markets. 729 00:36:41,200 --> 00:36:44,280 Speaker 2: The whole world unfortunately has become somewhat of a casino, 730 00:36:44,560 --> 00:36:47,960 Speaker 2: which I think is true and genuinely was surprised. 731 00:36:47,440 --> 00:36:50,719 Speaker 3: But runs casino? Does he mean that? 732 00:36:50,800 --> 00:36:54,040 Speaker 4: Unfortunately because he's literally in the casino business. 733 00:37:00,960 --> 00:37:03,719 Speaker 2: This show is produced by Jasmine JT. Green, Stacy Wong, 734 00:37:03,920 --> 00:37:08,000 Speaker 2: and Miles J. Hersheil worn Magnus Hendrickson is our supervising producer, 735 00:37:08,160 --> 00:37:11,759 Speaker 2: Sam Rogch Hendl's engineering, Dave Pricell factchecks special thanks to 736 00:37:11,800 --> 00:37:14,279 Speaker 2: Jeff Muscus, Julia Rubin and Maria Ling. If you have 737 00:37:14,320 --> 00:37:16,839 Speaker 2: a minute, please rate and review the show. It will 738 00:37:16,920 --> 00:37:18,400 Speaker 2: mean a lot to us. And if you have a 739 00:37:18,480 --> 00:37:21,200 Speaker 2: story that should be our business, email us at Everybody's 740 00:37:21,200 --> 00:37:24,080 Speaker 2: at Bloomberg dot net. That's everybody with ans at Bloomberg 741 00:37:24,120 --> 00:37:26,279 Speaker 2: dot net. Thank you for listening and we'll see you 742 00:37:26,320 --> 00:37:26,719 Speaker 2: next week.