1 00:00:01,840 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,200 --> 00:00:10,720 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty arm Strong 3 00:00:10,800 --> 00:00:21,040 Speaker 1: and Getty and he Armstrong and Getty. 4 00:00:23,560 --> 00:00:27,240 Speaker 2: Warning from Pope Leo about the dangers of artificial intelligence 5 00:00:27,280 --> 00:00:29,240 Speaker 2: and the document released over the weekend. The leader of 6 00:00:29,280 --> 00:00:31,639 Speaker 2: the Catholic Church said it can be hard to tell 7 00:00:31,720 --> 00:00:34,120 Speaker 2: whether we are interacting with a person or a bot 8 00:00:34,159 --> 00:00:38,600 Speaker 2: these days online, and he warned against quote affectionate chatbots 9 00:00:38,680 --> 00:00:42,240 Speaker 2: that may become quote hidden architects of our emotions. 10 00:00:43,560 --> 00:00:45,240 Speaker 3: Well maybe if you could get some of those peto 11 00:00:45,280 --> 00:00:47,640 Speaker 3: priests in a relationship with a chatbox, then you wouldn't 12 00:00:47,680 --> 00:00:51,479 Speaker 3: have to be WHOA, wouldn't have to be involved with 13 00:00:51,560 --> 00:00:55,440 Speaker 3: ten year old aultar boys. These the Chicago Pope. This 14 00:00:55,520 --> 00:00:58,120 Speaker 3: is made a fresh start, I hope. 15 00:00:58,160 --> 00:01:01,640 Speaker 1: Wow. Okay, wow, that was vicious. 16 00:01:02,160 --> 00:01:04,880 Speaker 3: So speaking of the internet thing, that's a warning that 17 00:01:05,680 --> 00:01:09,520 Speaker 3: needs to be made. It's something to worry about. You 18 00:01:09,520 --> 00:01:11,480 Speaker 3: just said, I do. 19 00:01:12,360 --> 00:01:16,839 Speaker 1: It might be like the warning that needs to be made. Yeah, 20 00:01:16,880 --> 00:01:20,120 Speaker 1: So speaking of AI, it was funny. I'm gonna work 21 00:01:20,120 --> 00:01:23,640 Speaker 1: my way to the main topic. But have you ever 22 00:01:24,040 --> 00:01:29,240 Speaker 1: heard the term panopticon? No, it's it's It was originally 23 00:01:29,640 --> 00:01:34,400 Speaker 1: a work of architecture developed by the philosopher Jeremy Bentham 24 00:01:34,440 --> 00:01:38,080 Speaker 1: and his brother, actually of a structure with a central 25 00:01:38,160 --> 00:01:41,920 Speaker 1: tower surrounded by like cells, so the watchman could see 26 00:01:41,959 --> 00:01:45,640 Speaker 1: what everybody's doing without them knowing he was observing them, 27 00:01:45,720 --> 00:01:51,040 Speaker 1: whether prisoner workers or children or whatever. And that the 28 00:01:51,440 --> 00:01:56,360 Speaker 1: term panopticon became a word that was used to describe 29 00:01:56,400 --> 00:01:59,880 Speaker 1: the surveillance state. Gotcha in general in the twentieth century, 30 00:02:00,000 --> 00:02:02,960 Speaker 1: and talk about that, that phenomenon, the evils of it, 31 00:02:02,960 --> 00:02:10,480 Speaker 1: blah blah blah. Jeremy Bentham, in his will, demanded that 32 00:02:10,520 --> 00:02:13,359 Speaker 1: his body be dissected and put on public display. 33 00:02:14,480 --> 00:02:17,320 Speaker 3: And it is is he like an exhibitionist of the 34 00:02:17,360 --> 00:02:18,280 Speaker 3: most severe kind? 35 00:02:18,360 --> 00:02:18,520 Speaker 4: Is that? 36 00:02:18,560 --> 00:02:21,200 Speaker 3: What's going on here? I don't know what's to look 37 00:02:21,240 --> 00:02:24,240 Speaker 3: at my liver? It turns me on who who was. 38 00:02:24,320 --> 00:02:28,880 Speaker 1: I just reading about? What are your great writers or thinkers? Said? No, 39 00:02:28,880 --> 00:02:34,120 Speaker 1: no funeral, no nothing, no statue, no headstone. Oh Dickens 40 00:02:34,200 --> 00:02:37,200 Speaker 1: was hardcore like that? Why yeah, don't publish any of 41 00:02:37,200 --> 00:02:39,760 Speaker 1: my just just forget forget about me. Let people read 42 00:02:39,800 --> 00:02:42,040 Speaker 1: the books. I don't know exactly, I haven't I don't know, 43 00:02:42,520 --> 00:02:45,520 Speaker 1: but Bentham was the opposite. So there he sits at 44 00:02:45,520 --> 00:02:49,359 Speaker 1: the University College of London, adorned with a it's his skeleton, 45 00:02:50,080 --> 00:02:54,480 Speaker 1: wearing you know, the garb of the day, waistcoat and jackets, 46 00:02:54,480 --> 00:02:56,680 Speaker 1: sitting on a wooden stool. He's got a wax head. 47 00:02:57,120 --> 00:02:59,399 Speaker 1: It's not just his skull. They've got a wax head 48 00:02:59,400 --> 00:03:02,600 Speaker 1: of his likeness us sitting there staring out at students 49 00:03:02,600 --> 00:03:07,960 Speaker 1: from its class case. Wow, it's charming. Wow, some whacky 50 00:03:08,000 --> 00:03:09,520 Speaker 1: doodle stuff. Did you ever go to. 51 00:03:09,480 --> 00:03:12,600 Speaker 3: The one of those human body displays, remember when that 52 00:03:12,680 --> 00:03:14,160 Speaker 3: was popular fifteen years ago? 53 00:03:14,200 --> 00:03:16,600 Speaker 1: Ober Katie's nodding her head. Yeah, yeah, I just saw 54 00:03:16,639 --> 00:03:17,560 Speaker 1: the pictures. I didn't go. 55 00:03:17,680 --> 00:03:20,079 Speaker 3: We always assumed that they were Chinese dissidents because where 56 00:03:20,080 --> 00:03:23,160 Speaker 3: did they get these human bodies? But they were like skinned, 57 00:03:24,000 --> 00:03:25,520 Speaker 3: actual human bodies. 58 00:03:25,880 --> 00:03:28,520 Speaker 5: Yeah, there was one that was actually cut vertically into 59 00:03:28,560 --> 00:03:30,080 Speaker 5: sections and then spread out. 60 00:03:31,400 --> 00:03:32,840 Speaker 1: Yeah, I saw that in San Francisco. 61 00:03:33,120 --> 00:03:34,639 Speaker 3: Maybe you and I saw the same one, but yeah, 62 00:03:34,760 --> 00:03:36,800 Speaker 3: probably so this would be similar to that what you 63 00:03:37,000 --> 00:03:42,760 Speaker 3: was talking about. It's interesting and nauseating. 64 00:03:41,680 --> 00:03:45,360 Speaker 1: Putting aside the initial nausea and the nausea at the 65 00:03:45,520 --> 00:03:50,600 Speaker 1: thought that its political dissonance and you know, executees it 66 00:03:50,800 --> 00:03:55,960 Speaker 1: really was interesting anatomically, it has to be, obviously, so 67 00:03:56,040 --> 00:03:58,840 Speaker 1: speaking of AI as we were sort of kind of 68 00:03:59,600 --> 00:04:03,320 Speaker 1: mal Cantalon wrote a piece for the Free Press. AI 69 00:04:03,440 --> 00:04:06,280 Speaker 1: took control of my life and I love it. I 70 00:04:06,320 --> 00:04:08,440 Speaker 1: give it my passwords, my calendar and my money. It 71 00:04:08,480 --> 00:04:13,560 Speaker 1: gave me my life back. Brief note, she is the 72 00:04:14,840 --> 00:04:20,280 Speaker 1: founder of Knox, an AI assisted inbox organizing tool, and 73 00:04:20,360 --> 00:04:24,760 Speaker 1: has a very busy schedule. She's very tech savvy compared 74 00:04:24,800 --> 00:04:31,320 Speaker 1: to a lot of us lightweight, but she she realized 75 00:04:31,320 --> 00:04:34,320 Speaker 1: that she was making commitments she couldn't keep track of. 76 00:04:34,400 --> 00:04:37,560 Speaker 1: It becomes so overwhelmed by thousands of notifications that I 77 00:04:37,560 --> 00:04:39,599 Speaker 1: had put my phone in a perpetual state of do 78 00:04:39,720 --> 00:04:43,120 Speaker 1: not disturb. She writes, I was desperate, and Claude promised salvation. 79 00:04:43,160 --> 00:04:44,560 Speaker 1: All I had to do was give it every bit 80 00:04:44,560 --> 00:04:47,800 Speaker 1: of data about my life, and it began coding agents, 81 00:04:47,839 --> 00:04:51,120 Speaker 1: little AI helpers living in your computer to accomplish all 82 00:04:51,160 --> 00:04:56,839 Speaker 1: the tasks I needed to do. She used what the 83 00:04:56,839 --> 00:05:00,560 Speaker 1: heck get flitted out of my mind claud code, which 84 00:05:00,640 --> 00:05:05,120 Speaker 1: is anthropics coding tool. You just tell it here's what 85 00:05:05,200 --> 00:05:07,479 Speaker 1: I want to do, and it writes all the code 86 00:05:07,480 --> 00:05:08,440 Speaker 1: for you. That's interesting. 87 00:05:08,480 --> 00:05:11,039 Speaker 3: I was looking for something in Claude the other day 88 00:05:11,480 --> 00:05:13,360 Speaker 3: and I saw that code thing, and I thought, what 89 00:05:13,440 --> 00:05:15,719 Speaker 3: is that? Probably something I'll never use, but that's what 90 00:05:15,800 --> 00:05:16,160 Speaker 3: this is. 91 00:05:16,480 --> 00:05:18,839 Speaker 1: I've read a handful of accounts of people using it 92 00:05:18,880 --> 00:05:21,840 Speaker 1: for fun and useful and silly stuff, and I think 93 00:05:21,880 --> 00:05:23,920 Speaker 1: it's pretty doable. I think it's twenty dollars a month. 94 00:05:24,120 --> 00:05:27,040 Speaker 1: Keep in mind now that this is Anthropic, who's CEO 95 00:05:27,800 --> 00:05:30,400 Speaker 1: in Clip eleven said this, So you. 96 00:05:30,320 --> 00:05:33,200 Speaker 2: Know, I think, to be fair, none of us fully 97 00:05:33,400 --> 00:05:35,080 Speaker 2: know how to control AI systems. 98 00:05:35,120 --> 00:05:36,760 Speaker 1: Like you know, I can't tell you there's a. 99 00:05:36,800 --> 00:05:39,400 Speaker 2: One hundred percent chance that even the systems we build 100 00:05:39,480 --> 00:05:41,000 Speaker 2: are perfectly reliable. 101 00:05:41,040 --> 00:05:43,200 Speaker 1: We do everything we can to make them more reliable 102 00:05:43,240 --> 00:05:45,719 Speaker 1: every day. That's fine, you get the gist of it. 103 00:05:45,839 --> 00:05:48,120 Speaker 1: We try, we try to improve them, blah blah blah. 104 00:05:48,120 --> 00:05:52,680 Speaker 1: But so you're going to feed all of your sensitive 105 00:05:52,680 --> 00:05:54,480 Speaker 1: information into the AI. 106 00:05:54,560 --> 00:05:57,040 Speaker 3: I assume bank accounts, passwords, all those things. 107 00:05:57,640 --> 00:06:04,760 Speaker 1: Yeah, indeed, yeah, as she writes, let me skip across 108 00:06:04,800 --> 00:06:06,680 Speaker 1: to the first thing I asked Claude to do is 109 00:06:06,720 --> 00:06:10,560 Speaker 1: tackle the subscriptions I pay for and never use. Gym memberships, 110 00:06:10,600 --> 00:06:13,799 Speaker 1: streaming subscriptions sell service providers are banking on the fact 111 00:06:14,000 --> 00:06:16,760 Speaker 1: that you're too tired, too overworked, and too forgetful to cancel. 112 00:06:17,240 --> 00:06:19,839 Speaker 1: So I copied a bit of code from GitHub called 113 00:06:20,279 --> 00:06:24,320 Speaker 1: just effing Cancel and fed it to Claude. It pulled 114 00:06:24,440 --> 00:06:26,800 Speaker 1: all of my transactions across all my credit cards, and 115 00:06:26,800 --> 00:06:29,360 Speaker 1: when it found repetitive subscriptions, it would ask me, hey, 116 00:06:29,400 --> 00:06:31,520 Speaker 1: is this something that you use? And I would say yes, sir, no, no, 117 00:06:32,000 --> 00:06:34,920 Speaker 1: I need to do that bad. When it said no, 118 00:06:35,160 --> 00:06:38,320 Speaker 1: it found a contact for the company and drafted an 119 00:06:38,360 --> 00:06:41,440 Speaker 1: email asking them to cancel my subscription. Oh my god, 120 00:06:41,560 --> 00:06:44,000 Speaker 1: I want that, she said. One day, I got seven 121 00:06:44,080 --> 00:06:46,880 Speaker 1: hundred dollars back. This is absurd. I thought. It costs 122 00:06:46,880 --> 00:06:48,560 Speaker 1: twenty bucks a month to use claud code, and in 123 00:06:48,600 --> 00:06:51,719 Speaker 1: a matter of hours it's paid for itself. I didn't 124 00:06:51,720 --> 00:06:54,039 Speaker 1: stop there. I get a lot of parking tickets that 125 00:06:54,080 --> 00:06:55,920 Speaker 1: I often lose track of because the city of San 126 00:06:56,000 --> 00:06:58,320 Speaker 1: Francisco where I live only prints them out once for 127 00:06:58,320 --> 00:07:01,039 Speaker 1: a citation. I think I've got three parking tickets in 128 00:07:01,080 --> 00:07:04,520 Speaker 1: my life. But I told Claude, here's my license plate, 129 00:07:04,600 --> 00:07:06,600 Speaker 1: go and find all of these for me. It came 130 00:07:06,640 --> 00:07:09,120 Speaker 1: back first with an audit of every single ticket. I 131 00:07:09,160 --> 00:07:11,040 Speaker 1: could click to open the pictures actually see on a 132 00:07:11,080 --> 00:07:13,440 Speaker 1: map where the ticket happened, what day they were issued, 133 00:07:13,440 --> 00:07:15,160 Speaker 1: what the reason was. At total cost, I had ten 134 00:07:15,200 --> 00:07:18,560 Speaker 1: outstanding citations. Claude paid for all of them using my 135 00:07:18,640 --> 00:07:20,920 Speaker 1: credit card, and I asked which ones I could appeal 136 00:07:20,960 --> 00:07:23,560 Speaker 1: with a reasonable chance of prevailing. It told me. Then 137 00:07:23,600 --> 00:07:25,600 Speaker 1: I wrote an appeal for one of them and emailed 138 00:07:25,600 --> 00:07:26,200 Speaker 1: it to the city. 139 00:07:26,600 --> 00:07:28,960 Speaker 3: Remember our old news guy Marsha Phillips had so many 140 00:07:29,000 --> 00:07:31,480 Speaker 3: parking tickets he got thrown in the La County jail 141 00:07:31,640 --> 00:07:33,720 Speaker 3: from bok on jail for a month. 142 00:07:34,600 --> 00:07:37,800 Speaker 1: Yeah, because he had no money. He was the equivalent 143 00:07:37,840 --> 00:07:39,920 Speaker 1: of the vetter's prison jack on fire. He needed this 144 00:07:40,000 --> 00:07:43,680 Speaker 1: Claude bot. Yeah. With parking tickets taking care of, I 145 00:07:43,720 --> 00:07:46,000 Speaker 1: was ready to focus on my health. I find that 146 00:07:46,040 --> 00:07:49,240 Speaker 1: I sometimes wake up grog even after a solid seven 147 00:07:49,320 --> 00:07:51,200 Speaker 1: or eight hours, so I asked Claude to write an 148 00:07:51,240 --> 00:07:54,080 Speaker 1: application to optimize my sleep. The whole idea was it 149 00:07:54,120 --> 00:07:55,960 Speaker 1: would wake me up exactly at the end of an 150 00:07:56,080 --> 00:07:58,840 Speaker 1: RAM cycle, so I wouldn't feel super tired. I did 151 00:07:58,880 --> 00:08:02,880 Speaker 1: this by connecting Claude to Smart watch Whoop that stores 152 00:08:02,960 --> 00:08:04,720 Speaker 1: data on my heart rate and blood pressure. All I 153 00:08:04,720 --> 00:08:06,760 Speaker 1: had to do was copy the code for Whoop's application 154 00:08:06,840 --> 00:08:09,280 Speaker 1: programming interface from the company's website and give it a 155 00:08:09,280 --> 00:08:11,240 Speaker 1: clause so we could start pulling my health data from 156 00:08:11,240 --> 00:08:13,280 Speaker 1: my watch. Now, when my heart rate drops below a 157 00:08:13,320 --> 00:08:15,760 Speaker 1: certain thresholds as I drift off, the watch alerts Claud 158 00:08:16,040 --> 00:08:18,760 Speaker 1: and counts four ram cycles about six hours from that 159 00:08:18,800 --> 00:08:21,320 Speaker 1: point before it wakes me up. My health is better 160 00:08:21,360 --> 00:08:24,119 Speaker 1: since I enlisted Claude, It planned my workouts and found 161 00:08:24,160 --> 00:08:28,960 Speaker 1: time for them. Blah blah blah. Now this all is 162 00:08:28,960 --> 00:08:31,280 Speaker 1: starting to sound a little intimidating to me. Well, right, 163 00:08:31,320 --> 00:08:32,040 Speaker 1: that's what I'm wondering. 164 00:08:32,040 --> 00:08:36,720 Speaker 3: Can I get I don't know, Can I get Gemini 165 00:08:37,240 --> 00:08:41,040 Speaker 3: or Grock to get in contact with Claude and tell 166 00:08:41,080 --> 00:08:44,000 Speaker 3: it to do this, or have claudetail Claud or something. 167 00:08:44,040 --> 00:08:49,200 Speaker 1: I mean, yeah, I feel like we're probably a couple 168 00:08:49,200 --> 00:08:52,640 Speaker 1: of weeks away from somebody realizing, hey, this is an 169 00:08:52,800 --> 00:08:56,800 Speaker 1: enormous profit center. But people like Joe and Jack and 170 00:08:57,000 --> 00:08:59,720 Speaker 1: a lot of you good folks, I'd imagine here. All 171 00:08:59,720 --> 00:09:01,720 Speaker 1: I have had to do is copy the code for 172 00:09:01,800 --> 00:09:06,000 Speaker 1: whoops application programming interface from the company's website and give 173 00:09:06,000 --> 00:09:10,640 Speaker 1: it not gonna happen. 174 00:09:10,720 --> 00:09:15,160 Speaker 5: Yes, Katie, wonder if I wonder if, since this article 175 00:09:15,200 --> 00:09:17,320 Speaker 5: has come out and it's public, if you could go 176 00:09:17,400 --> 00:09:19,839 Speaker 5: into Claude and say, hey, I want you to duplicate 177 00:09:19,880 --> 00:09:21,079 Speaker 5: what you did for this. 178 00:09:21,480 --> 00:09:23,000 Speaker 1: I want you what you did for that chick. 179 00:09:23,240 --> 00:09:25,199 Speaker 3: Yeah, and maybe I do it all once. 180 00:09:26,800 --> 00:09:29,680 Speaker 1: Let's see it analyze. I hit inbox zero for the 181 00:09:29,679 --> 00:09:32,439 Speaker 1: first time ever thanks to Claude filtering and deleting spam 182 00:09:32,480 --> 00:09:35,800 Speaker 1: while auto drafting replies for all relevant inbound emails. It 183 00:09:35,800 --> 00:09:38,800 Speaker 1: analyzed my bottomless pile of Apple notes and meeting transcripts, 184 00:09:38,960 --> 00:09:42,240 Speaker 1: found the things I'd procrastinated on, took care of them instantaneously, 185 00:09:42,440 --> 00:09:45,720 Speaker 1: from confirming travel details to following up on action items 186 00:09:45,720 --> 00:09:48,760 Speaker 1: from meetings. I don't have a lot of meetings. Thank god. 187 00:09:48,880 --> 00:09:51,719 Speaker 1: My personal fight. Here we go. My personal finances are 188 00:09:51,720 --> 00:09:54,640 Speaker 1: now managed by claud Code overnight. It picks the locks 189 00:09:54,640 --> 00:09:57,160 Speaker 1: of brokerages that refuse to talk to each other and 190 00:09:57,240 --> 00:10:02,559 Speaker 1: pulls congressional and hedge fund disclosures, polymarket odds, X sentiment headlines, 191 00:10:02,600 --> 00:10:04,559 Speaker 1: and ten k's from my watch list. I don't know 192 00:10:04,600 --> 00:10:06,760 Speaker 1: what half of that is. Every morning, it scans the 193 00:10:06,800 --> 00:10:10,040 Speaker 1: news and writes me personalized briefs on my portfolio and 194 00:10:10,080 --> 00:10:14,960 Speaker 1: opportunities to buy or sell. Last month, it flagged Democratic 195 00:10:15,000 --> 00:10:17,640 Speaker 1: Congressman Cleo Field's buying at least half a million dollars 196 00:10:17,679 --> 00:10:21,240 Speaker 1: in Netflix stock. Three weeks later, it flagged the potential 197 00:10:21,240 --> 00:10:23,960 Speaker 1: Warner Brothers merger. I don't always take its advice, but 198 00:10:24,000 --> 00:10:27,040 Speaker 1: I'm never tracking fifteen tabs at sixteen am and six 199 00:10:27,120 --> 00:10:30,120 Speaker 1: am anymore. Sorry, trying to parse what the best trade is. 200 00:10:30,440 --> 00:10:30,600 Speaker 2: Man. 201 00:10:30,640 --> 00:10:31,960 Speaker 1: This chick is a hard charger. 202 00:10:32,040 --> 00:10:33,880 Speaker 3: I need to try some of this today because I'd 203 00:10:33,920 --> 00:10:35,800 Speaker 3: never thought of it before. If I tell Claude or 204 00:10:35,920 --> 00:10:40,199 Speaker 3: I have all four four of them Gemini, Claude, Grock 205 00:10:40,280 --> 00:10:43,280 Speaker 3: and Chat GPT, but tell one of them like my 206 00:10:43,400 --> 00:10:45,800 Speaker 3: schedule for the week, Here's what time I pick up 207 00:10:45,840 --> 00:10:49,040 Speaker 3: this kid from where boy scouts, this day, guitar lists 208 00:10:49,040 --> 00:10:50,320 Speaker 3: and that blah blah blah. Put it in there and 209 00:10:50,360 --> 00:10:52,199 Speaker 3: just remind me of these every morning and then get 210 00:10:52,200 --> 00:10:54,040 Speaker 3: in the habit of hey, Claude, what do I got today? 211 00:10:55,520 --> 00:10:57,800 Speaker 1: Yeah? And then it tells me does it well to 212 00:10:57,880 --> 00:11:00,640 Speaker 1: keep tracking? I suppose it would, yeah, yeah, yeah, And 213 00:11:00,720 --> 00:11:02,719 Speaker 1: I mean compared to a lot of this. That's very 214 00:11:02,720 --> 00:11:04,679 Speaker 1: ABC one two three, But for a lot of us, 215 00:11:04,840 --> 00:11:06,800 Speaker 1: I mean it would be pretty helpful. Listen to this 216 00:11:06,840 --> 00:11:09,440 Speaker 1: with Ja Over a Christmas I introduced my parents to 217 00:11:09,520 --> 00:11:11,600 Speaker 1: a new way of life. These are people who treat 218 00:11:11,640 --> 00:11:14,360 Speaker 1: software updates as personal attacks. So I was careful not 219 00:11:14,400 --> 00:11:18,559 Speaker 1: to use the word coding. I love it. I just said, 220 00:11:18,720 --> 00:11:21,920 Speaker 1: type what you want to happen in plain English. This 221 00:11:22,080 --> 00:11:25,720 Speaker 1: is Claude code. My mom, who works in the pharmaceutical industry, 222 00:11:25,760 --> 00:11:27,480 Speaker 1: stared at it for a minute, then typed show me 223 00:11:27,559 --> 00:11:30,319 Speaker 1: everyone who hasn't paid an invoice in the last ninety days. 224 00:11:30,720 --> 00:11:32,760 Speaker 1: She looked at me like I'd performed the magic trick. 225 00:11:32,800 --> 00:11:35,720 Speaker 1: Within days, they were running my dad's accounts receivable through it. 226 00:11:35,960 --> 00:11:39,760 Speaker 1: For twenty years, software made them feel stupid. Now they 227 00:11:39,760 --> 00:11:43,959 Speaker 1: tell it what to do. That's a good story. Wow, 228 00:11:44,920 --> 00:11:51,640 Speaker 1: it really is. Huh. Suddenly tasks one used to dread 229 00:11:51,640 --> 00:11:54,000 Speaker 1: can be accomplished in a matter of seconds. It's like 230 00:11:54,080 --> 00:11:57,320 Speaker 1: the world unravels. My dad called it a superpower in 231 00:11:57,360 --> 00:12:00,520 Speaker 1: the bewildered tone one reserves for cursing a ris the game. 232 00:12:00,880 --> 00:12:02,600 Speaker 1: And it's not just me and my family. Other people 233 00:12:02,600 --> 00:12:05,400 Speaker 1: are using it to run vending machines, home automation systems, 234 00:12:05,440 --> 00:12:08,160 Speaker 1: and keep plants alive. This is the default now. The 235 00:12:08,160 --> 00:12:12,280 Speaker 1: bottleneck is no longer programming ability. The bottleneck is gumption, 236 00:12:12,400 --> 00:12:14,400 Speaker 1: who has the nerve to try, and the stubbornness to 237 00:12:14,440 --> 00:12:18,120 Speaker 1: see through it, and ironically, the willingness to dedicate another 238 00:12:18,160 --> 00:12:20,079 Speaker 1: twenty dollars a month to a subscription. 239 00:12:21,000 --> 00:12:22,800 Speaker 3: I was just looking at my email. I've had the 240 00:12:22,840 --> 00:12:24,640 Speaker 3: same Yahoo email for. 241 00:12:26,160 --> 00:12:29,680 Speaker 1: Thirty years? How long has yah? Who've been around anyway 242 00:12:29,760 --> 00:12:30,240 Speaker 1: quite a while? 243 00:12:30,400 --> 00:12:34,120 Speaker 3: I have several thousand unread emails, so I'd like the 244 00:12:34,240 --> 00:12:35,640 Speaker 3: chat bought to get in there and see if any 245 00:12:35,679 --> 00:12:40,800 Speaker 3: of those are important from twenty eight years ago. Maybe 246 00:12:40,800 --> 00:12:42,960 Speaker 3: I missed an important medical appointment. 247 00:12:42,559 --> 00:12:48,319 Speaker 1: Or something money that you won exactly. Wow, yeah, one 248 00:12:48,360 --> 00:12:50,720 Speaker 1: of those. We are trying to find you. Your uncle 249 00:12:50,760 --> 00:12:52,520 Speaker 1: has died and left you seven million dollars. 250 00:12:52,559 --> 00:12:54,480 Speaker 3: Somebody wanted to date me or broke up with me 251 00:12:54,600 --> 00:12:55,880 Speaker 3: or whatever could be all be in there. 252 00:12:55,920 --> 00:13:00,760 Speaker 1: I don't know. Wow, she's wondering, why is he showing out? 253 00:13:01,080 --> 00:13:03,839 Speaker 1: This is so weird. I broke it up with them 254 00:13:03,840 --> 00:13:08,400 Speaker 1: like four times. I don't know what to do. Ah, boy, 255 00:13:08,480 --> 00:13:09,160 Speaker 1: that is funny. 256 00:13:10,520 --> 00:13:14,200 Speaker 3: Why do we have an aircraft carrier and three destroyers. 257 00:13:14,400 --> 00:13:16,720 Speaker 3: They're in the Middle East close enough to attack Iran? 258 00:13:16,840 --> 00:13:18,680 Speaker 3: Is it because we're going to attack Iran? Among other 259 00:13:18,720 --> 00:13:19,600 Speaker 3: things we could talk about. 260 00:13:19,640 --> 00:13:21,480 Speaker 1: Stay here. 261 00:13:24,520 --> 00:13:27,440 Speaker 4: You know, I'm the President of the United States. I'm 262 00:13:27,440 --> 00:13:31,440 Speaker 4: not the Emperor of the United States. My job is 263 00:13:31,480 --> 00:13:35,880 Speaker 4: to execute laws that are passed, and Congress right now 264 00:13:37,320 --> 00:13:40,440 Speaker 4: has not changed what I considered to be a broken 265 00:13:40,520 --> 00:13:43,920 Speaker 4: immigration system. And what that means is is that we 266 00:13:44,040 --> 00:13:47,880 Speaker 4: have certain obligations to enforce the laws that are in place, 267 00:13:47,960 --> 00:13:51,319 Speaker 4: even if we think that in many cases the results 268 00:13:51,360 --> 00:13:54,880 Speaker 4: may be tragic. There are going to be some stories 269 00:13:54,920 --> 00:13:56,080 Speaker 4: that break our hearts. 270 00:13:57,400 --> 00:13:58,640 Speaker 1: So there's Zach Clipping Hanson. 271 00:13:58,720 --> 00:14:00,160 Speaker 3: Let me know when you get that other one for 272 00:14:00,280 --> 00:14:03,800 Speaker 3: Barack Obama from twenty ten that Elon Musk just retweeted, 273 00:14:03,840 --> 00:14:06,880 Speaker 3: because it gets into more of the details about why 274 00:14:07,679 --> 00:14:09,800 Speaker 3: you can't just all of a sudden say ah, you 275 00:14:09,840 --> 00:14:13,240 Speaker 3: get to stay, which is what they're doing in Europe, 276 00:14:13,280 --> 00:14:17,240 Speaker 3: and this is not getting near enough attention. Spain is 277 00:14:17,360 --> 00:14:23,920 Speaker 3: fast tracking the legalization over a half million illegal aliens 278 00:14:23,960 --> 00:14:27,280 Speaker 3: and asylum seekers today, which will provide them because you know, 279 00:14:27,280 --> 00:14:30,120 Speaker 3: the way the European Union works with full legal status 280 00:14:30,120 --> 00:14:31,880 Speaker 3: in Europe to travel around to any of the EU 281 00:14:31,960 --> 00:14:37,440 Speaker 3: countries for work, residency, welfare benefits, everything else. Wow, half 282 00:14:37,480 --> 00:14:41,400 Speaker 3: a million now Elon tweeted out that story with a 283 00:14:41,560 --> 00:14:45,960 Speaker 3: video of a bunch of I assume the point of 284 00:14:46,000 --> 00:14:48,120 Speaker 3: this video is that these are people from other countries 285 00:14:48,560 --> 00:14:53,400 Speaker 3: beaten down a regular Spanish person in the street over 286 00:14:53,640 --> 00:14:54,640 Speaker 3: cultural differences. 287 00:14:54,680 --> 00:14:58,360 Speaker 1: Probably anyway, if. 288 00:14:58,200 --> 00:15:00,320 Speaker 3: You don't know that they're having all kinds of problem 289 00:15:00,720 --> 00:15:04,920 Speaker 3: with cultures bumping up against each other in Spain and 290 00:15:05,080 --> 00:15:08,520 Speaker 3: France and Germany and England and lots of places, than 291 00:15:08,560 --> 00:15:12,240 Speaker 3: you are really not paying attention but legalizing the half million. 292 00:15:13,840 --> 00:15:15,440 Speaker 3: Let me know when you get that Barack Obama clip, 293 00:15:15,440 --> 00:15:20,160 Speaker 3: because that factors into this importantly. But I can't believe 294 00:15:20,200 --> 00:15:25,960 Speaker 3: this is happening. So NPR presented it today as Europe 295 00:15:26,000 --> 00:15:29,280 Speaker 3: has a real shortage of workers with a shrinking population, 296 00:15:29,640 --> 00:15:32,360 Speaker 3: you know, like every other first world country does right now, 297 00:15:32,680 --> 00:15:35,440 Speaker 3: and so they need the workers. But so this is 298 00:15:35,480 --> 00:15:38,560 Speaker 3: the process. Just let anybody who came in illegally, whoever 299 00:15:38,560 --> 00:15:40,680 Speaker 3: the hell they are, and you haven't even checked, stay 300 00:15:41,240 --> 00:15:43,160 Speaker 3: and have all the benefits that they areof. 301 00:15:43,360 --> 00:15:47,880 Speaker 1: In wellfair states. Yeah, so it would seem I just 302 00:15:47,960 --> 00:15:51,640 Speaker 1: read eighty five percent of Afghan families who are in 303 00:15:51,680 --> 00:15:56,640 Speaker 1: the US with children are on welfare one or more programs. 304 00:15:56,880 --> 00:16:00,440 Speaker 1: Eighty five percent, it's more like fifty two percent. How 305 00:16:00,520 --> 00:16:02,200 Speaker 1: is that you learn? How is that out of bounds 306 00:16:02,240 --> 00:16:05,920 Speaker 1: to talk about? I know, I know, And there's a 307 00:16:05,920 --> 00:16:07,600 Speaker 1: great deal of fear that they are learning how to 308 00:16:07,640 --> 00:16:09,760 Speaker 1: gain the system, having come from a system where you 309 00:16:09,840 --> 00:16:14,360 Speaker 1: have to gain the system. I am shocked at how 310 00:16:14,600 --> 00:16:19,680 Speaker 1: few people, newspapers, commentators talk about the true reasons for 311 00:16:19,840 --> 00:16:22,800 Speaker 1: rampant immigration. I just I don't get how people don't 312 00:16:22,840 --> 00:16:24,840 Speaker 1: get it. Well. Even if you, even if you want 313 00:16:24,840 --> 00:16:26,000 Speaker 1: to fully address that. 314 00:16:25,920 --> 00:16:28,480 Speaker 3: You're still gotta have a system. Let's decide who we want. 315 00:16:28,840 --> 00:16:30,960 Speaker 3: If we're going to decide we need more people, you 316 00:16:31,040 --> 00:16:34,920 Speaker 3: don't let the people who break into the country decide 317 00:16:34,920 --> 00:16:37,440 Speaker 3: who gets to be here. That's a stupid way to 318 00:16:37,480 --> 00:16:37,760 Speaker 3: do it. 319 00:16:38,320 --> 00:16:41,400 Speaker 1: Well, right, I would agree it's it's stupid, and it's suicidal, 320 00:16:41,440 --> 00:16:43,960 Speaker 1: it's dangerous, it's all sorts of stuff. But if you 321 00:16:44,120 --> 00:16:46,400 Speaker 1: are in a situation, I'm not defending it, I'm just 322 00:16:46,440 --> 00:16:49,240 Speaker 1: describing it. Look, the right won't give on this stuff. 323 00:16:49,320 --> 00:16:51,160 Speaker 1: The left won't give on this stuff, so we keep 324 00:16:51,160 --> 00:16:54,040 Speaker 1: doing it under the table. Well, Barack Obama had it 325 00:16:54,120 --> 00:16:57,560 Speaker 1: exactly right in twenty ten. It's amazing that how even 326 00:16:57,600 --> 00:17:02,240 Speaker 1: the Democrats understood the reality of this not that long ago, 327 00:17:02,360 --> 00:17:05,800 Speaker 1: and now our politics have moved so far from this. 328 00:17:05,840 --> 00:17:08,040 Speaker 1: We'll play the Barack Obama clip I'm talking about when 329 00:17:08,040 --> 00:17:10,159 Speaker 1: we come back on why he said you can't just 330 00:17:10,280 --> 00:17:13,680 Speaker 1: legalize the people that are here. Barry Obama is now 331 00:17:13,720 --> 00:17:18,400 Speaker 1: a moderate Wow, Armstrong and Getty. 332 00:17:19,960 --> 00:17:23,000 Speaker 3: So we're just talking about how in Spain today they're 333 00:17:23,119 --> 00:17:27,440 Speaker 3: they're rushing through basically it's an amnesty thing. 334 00:17:27,480 --> 00:17:28,400 Speaker 1: They're doing with. 335 00:17:29,840 --> 00:17:32,760 Speaker 3: A ton of the people that came to the country illegally, 336 00:17:32,800 --> 00:17:35,080 Speaker 3: which we did have done in this country a few times. 337 00:17:35,160 --> 00:17:37,159 Speaker 3: They got a half a million people there that are 338 00:17:37,160 --> 00:17:39,600 Speaker 3: there illegally, and they've decided they're just going to say, okay, 339 00:17:39,920 --> 00:17:44,040 Speaker 3: you're a citizen. Well, because it's the EU, then you're 340 00:17:44,440 --> 00:17:46,919 Speaker 3: a part of the European Union, and you can travel 341 00:17:46,920 --> 00:17:50,439 Speaker 3: from country to country and they're welfare states, socialist welfare 342 00:17:50,480 --> 00:17:52,360 Speaker 3: states most of them, so you get all the benefits 343 00:17:52,359 --> 00:17:53,919 Speaker 3: that go with being a citizen. I mean, it's going 344 00:17:53,960 --> 00:17:57,440 Speaker 3: to be quite the mess and a lot of the 345 00:17:57,560 --> 00:17:59,840 Speaker 3: natives of the country, people who were born there not 346 00:18:00,000 --> 00:18:00,640 Speaker 3: happy with this. 347 00:18:01,400 --> 00:18:04,560 Speaker 1: Just for mistake of the discussion, Spain has roughly won 348 00:18:04,760 --> 00:18:07,640 Speaker 1: seventh of the population of the United States. A good 349 00:18:07,680 --> 00:18:10,120 Speaker 1: thing to zero point five million people going to know, 350 00:18:10,480 --> 00:18:12,720 Speaker 1: all of a sudden, all those you point out, quite appropriately, 351 00:18:12,960 --> 00:18:15,879 Speaker 1: they can spread throughout the EU and suck off the 352 00:18:15,920 --> 00:18:17,639 Speaker 1: delicious government teat or whatever. 353 00:18:21,160 --> 00:18:23,760 Speaker 3: Here's Barack Obama in twenty ten about why that's not 354 00:18:23,800 --> 00:18:24,439 Speaker 3: a good idea. 355 00:18:25,040 --> 00:18:29,240 Speaker 4: There are those in the immigrants rights community who have 356 00:18:29,400 --> 00:18:34,880 Speaker 4: argued passionately that we should simply provide those who are 357 00:18:34,960 --> 00:18:40,800 Speaker 4: illegally with legal status, or at least ignore the laws 358 00:18:40,800 --> 00:18:43,720 Speaker 4: on the books, and put an end to deportation until 359 00:18:44,920 --> 00:18:48,600 Speaker 4: we have better laws. And often this argument is framed 360 00:18:48,600 --> 00:18:52,040 Speaker 4: in moral terms. Why should we punish people who are 361 00:18:52,160 --> 00:18:58,560 Speaker 4: just trying to earn a living. I recognize the sense 362 00:18:58,560 --> 00:19:03,800 Speaker 4: of compassion that drives this argument, but I believe such 363 00:19:03,800 --> 00:19:09,600 Speaker 4: an indiscriminate approach would be both unwise and unfair. It 364 00:19:09,600 --> 00:19:13,439 Speaker 4: would suggest to those thinking about coming here illegally that 365 00:19:13,680 --> 00:19:17,520 Speaker 4: there will be no repercussions for such a decision, and 366 00:19:17,600 --> 00:19:22,720 Speaker 4: this could lead to a surge in more illegal immigration. 367 00:19:22,800 --> 00:19:25,360 Speaker 1: I'll be darned that would never happen, and it would. 368 00:19:25,160 --> 00:19:27,879 Speaker 4: Also ignore the millions of people around the world who 369 00:19:27,920 --> 00:19:29,879 Speaker 4: are waiting in line to come here legally. 370 00:19:30,640 --> 00:19:31,479 Speaker 1: Yah, what are you going to do? 371 00:19:33,920 --> 00:19:40,040 Speaker 4: Ultimately, our nation, like all nations, has the right and obligation. 372 00:19:39,920 --> 00:19:41,240 Speaker 1: To control its borders. 373 00:19:41,720 --> 00:19:45,000 Speaker 4: What and set laws for residency? We do citizenship, we 374 00:19:45,040 --> 00:19:49,120 Speaker 4: do fascist fascist, and no matter how decent they are, 375 00:19:50,119 --> 00:19:54,320 Speaker 4: no matter their reasons, the eleven million who broke these 376 00:19:54,440 --> 00:19:56,119 Speaker 4: laws should be held accountable. 377 00:19:56,400 --> 00:20:01,280 Speaker 3: Okay, that's Stephen Miller from the White House. Sorry, mister, yeah, exactly, Sorry, 378 00:20:01,359 --> 00:20:03,159 Speaker 3: mister President. I don't know if you know this, but 379 00:20:03,280 --> 00:20:06,400 Speaker 3: illegals commit crimes at lower rates than natural born citizens 380 00:20:08,160 --> 00:20:11,200 Speaker 3: or whatever horsecrap you want to throw out to justify 381 00:20:11,400 --> 00:20:14,080 Speaker 3: why you shouldn't have any borders. 382 00:20:14,280 --> 00:20:17,440 Speaker 1: Good fresh, pungent horse craft, you said jokingly. 383 00:20:17,560 --> 00:20:21,280 Speaker 3: Barack Obama moderate, he would be a right winger by 384 00:20:21,359 --> 00:20:24,840 Speaker 3: today's standards to come out and say that, absolutely, say 385 00:20:24,840 --> 00:20:27,639 Speaker 3: that borders matter. Doesn't matter how good a person you are. 386 00:20:27,680 --> 00:20:29,959 Speaker 3: You don't get to come here illegally. You don't get 387 00:20:30,000 --> 00:20:33,800 Speaker 3: to stay, even if you're a hard working, law biting citizen, even. 388 00:20:33,640 --> 00:20:36,000 Speaker 1: If they're nice folks, it's fundamentally unfair to those people 389 00:20:36,000 --> 00:20:38,240 Speaker 1: who are following them, right, and it would encourage more 390 00:20:38,280 --> 00:20:39,240 Speaker 1: illegal immigration. 391 00:20:41,880 --> 00:20:44,640 Speaker 3: Unbelievable that we are where we are right now, we're 392 00:20:44,720 --> 00:20:48,160 Speaker 3: saying that sort of thing would be controversial. You could 393 00:20:48,200 --> 00:20:50,760 Speaker 3: never get the Democratic nomination saying that now. 394 00:20:50,880 --> 00:20:57,919 Speaker 1: I don't think no, no, if you could, I'm picturing 395 00:20:58,000 --> 00:21:01,840 Speaker 1: rama Manuel's version of that, because he will have a 396 00:21:02,000 --> 00:21:04,200 Speaker 1: version of that. It'll be interesting to see what he 397 00:21:04,240 --> 00:21:04,679 Speaker 1: comes up with. 398 00:21:05,080 --> 00:21:08,159 Speaker 3: And if you could, it's only because the blowback of 399 00:21:08,160 --> 00:21:10,280 Speaker 3: the last several years. You couldn't have last cycle in 400 00:21:10,320 --> 00:21:13,520 Speaker 3: the cycle before, No freaking way you could have still 401 00:21:13,600 --> 00:21:16,199 Speaker 3: on that stage and gotten the nomination saying no, no, no, no, 402 00:21:16,240 --> 00:21:17,879 Speaker 3: if you came here illegally, there's got to be some 403 00:21:17,920 --> 00:21:19,440 Speaker 3: sort of penalty, either got to go back or pay 404 00:21:19,480 --> 00:21:22,320 Speaker 3: a fine or whatever. We can't reward I legal immigration. 405 00:21:23,160 --> 00:21:25,720 Speaker 1: In nineteen of the twenty, Democrats and Joe Biden was 406 00:21:25,760 --> 00:21:29,120 Speaker 1: just too senile to answer the question, raised their hands 407 00:21:29,119 --> 00:21:31,320 Speaker 1: and said, yes, we should give free medical care to 408 00:21:31,320 --> 00:21:32,800 Speaker 1: illegal immigrants. Please. Yeah. 409 00:21:32,880 --> 00:21:35,399 Speaker 3: Can you imagine the booze that would have rained down 410 00:21:35,960 --> 00:21:38,119 Speaker 3: on someone like Barack Obama if he'd have said that 411 00:21:38,160 --> 00:21:41,400 Speaker 3: in one of those debates. So many booze God, that's 412 00:21:41,440 --> 00:21:44,440 Speaker 3: amazing that we have changed that much in that short 413 00:21:44,440 --> 00:21:44,879 Speaker 3: of time. 414 00:21:45,359 --> 00:21:48,560 Speaker 1: Well, and it's also amazing that the folks who scribble 415 00:21:48,640 --> 00:21:53,080 Speaker 1: for a living are either so detached from reality are 416 00:21:53,119 --> 00:21:58,119 Speaker 1: so dishonest that even they don't stop and think, Wow, 417 00:21:58,200 --> 00:22:00,600 Speaker 1: this is a real transition for my I mean, we 418 00:22:00,720 --> 00:22:02,800 Speaker 1: used to be way over there where Barack Obama was. 419 00:22:02,920 --> 00:22:05,560 Speaker 1: Are they even aware of it? I'm actually honestly curious 420 00:22:05,600 --> 00:22:07,920 Speaker 1: to know that. I'm here to hit a Michelle Goldberg 421 00:22:07,960 --> 00:22:11,199 Speaker 1: in the New York Times, for instance, with that. Just 422 00:22:11,800 --> 00:22:13,560 Speaker 1: jot it down, write it out, and hand it to 423 00:22:13,600 --> 00:22:15,239 Speaker 1: her and say what do you think of that? I 424 00:22:15,440 --> 00:22:16,000 Speaker 1: react to it? 425 00:22:16,080 --> 00:22:16,240 Speaker 4: I know. 426 00:22:16,320 --> 00:22:18,320 Speaker 1: I tell her Barack Obama, I have friends. 427 00:22:18,359 --> 00:22:20,240 Speaker 3: I'd like to play that in the Hillary clip we 428 00:22:20,240 --> 00:22:22,080 Speaker 3: played the other day for him and Bill Clinton the 429 00:22:22,160 --> 00:22:24,640 Speaker 3: other day and say, so, what's your reaction. I think 430 00:22:24,640 --> 00:22:26,879 Speaker 3: I think their first reaction, honestly, might be that's AI. 431 00:22:27,400 --> 00:22:31,159 Speaker 3: That can't be real. There's no way Barack Obama actually said, 432 00:22:33,520 --> 00:22:35,880 Speaker 3: you can't allow I Legally a nation has a right 433 00:22:35,920 --> 00:22:37,400 Speaker 3: to have borders. 434 00:22:39,280 --> 00:22:43,400 Speaker 1: Wow. I'm fascinated by the concept of how different people's 435 00:22:43,720 --> 00:22:46,560 Speaker 1: differently people's brains work. And I wonder if I were 436 00:22:46,600 --> 00:22:49,440 Speaker 1: to get into the head of a progressive person if 437 00:22:49,440 --> 00:22:53,080 Speaker 1: it would be terrifying because I would realize, oh my gosh, 438 00:22:53,080 --> 00:22:57,960 Speaker 1: they don't have like fixed actual principles. It's just what's 439 00:22:58,000 --> 00:23:01,480 Speaker 1: being advocated right now. It feels like a principle to them, 440 00:23:01,840 --> 00:23:07,920 Speaker 1: and they have no, like, no neurological memory of what 441 00:23:07,960 --> 00:23:10,160 Speaker 1: they believed yesterday. I think that at all. 442 00:23:10,240 --> 00:23:14,119 Speaker 3: I think the overwhelming feeling would be that being nice 443 00:23:14,680 --> 00:23:16,879 Speaker 3: overrides anything. 444 00:23:16,960 --> 00:23:20,800 Speaker 1: Right, being accepted, saying what I'm supposed to say, and 445 00:23:20,840 --> 00:23:21,959 Speaker 1: being rewarded for it. 446 00:23:22,040 --> 00:23:24,240 Speaker 3: The nice thing to do would be allow people to 447 00:23:24,320 --> 00:23:26,200 Speaker 3: stay and do whatever the hell they want and get 448 00:23:26,200 --> 00:23:29,679 Speaker 3: free healthcare. So you don't run that through the But 449 00:23:29,760 --> 00:23:31,760 Speaker 3: how would that work? How could we afford that filter? 450 00:23:32,040 --> 00:23:32,800 Speaker 3: It's just nice? 451 00:23:33,480 --> 00:23:35,280 Speaker 1: And then if they you know, cause it'd be one 452 00:23:35,280 --> 00:23:37,360 Speaker 1: of those swaps where like I stay in their apartment 453 00:23:37,359 --> 00:23:39,560 Speaker 1: and they stay in mind, we'd switch countries for a 454 00:23:39,600 --> 00:23:40,720 Speaker 1: while in the summertime. 455 00:23:40,800 --> 00:23:42,680 Speaker 3: Do you drive the Subaru and then they drive your 456 00:23:42,760 --> 00:23:45,760 Speaker 3: truck or whatever? Hey, you know, if we can work 457 00:23:45,800 --> 00:23:48,360 Speaker 3: it out, sure, why not. But then they would get 458 00:23:48,359 --> 00:23:52,560 Speaker 3: into my head and think Oh my god. This guy 459 00:23:52,760 --> 00:23:55,600 Speaker 3: like if somebody says I disagree, he doesn't care. 460 00:23:57,520 --> 00:24:01,919 Speaker 1: It's like a superpower. He thinks, oh that's interesting. He 461 00:24:01,960 --> 00:24:04,720 Speaker 1: doesn't feel at all threatened to buy people disagreeing with him. 462 00:24:04,880 --> 00:24:09,000 Speaker 3: He's intrigued by it. Why do you wear birkenstocks? They 463 00:24:09,040 --> 00:24:10,720 Speaker 3: wear normal shoes. You start taking back. 464 00:24:10,720 --> 00:24:13,640 Speaker 1: I would bring my own shoes. I don't know how 465 00:24:13,640 --> 00:24:14,879 Speaker 1: far do we have to go in this? Are you 466 00:24:14,920 --> 00:24:19,000 Speaker 1: gonna wear their underpants too? It's the matter with you, you 467 00:24:18,280 --> 00:24:20,200 Speaker 1: bring your own stuff. You just stay in there. Pad 468 00:24:22,800 --> 00:24:26,399 Speaker 1: Ah boy, I would be freaked out by that. I 469 00:24:26,440 --> 00:24:30,359 Speaker 1: love that idea. But anyway, so I don't know what 470 00:24:30,840 --> 00:24:33,639 Speaker 1: do y'all think. I mean, there are obviously, you know, 471 00:24:33,720 --> 00:24:37,360 Speaker 1: like your hardcore political activists are just liars. They're cynical liars. 472 00:24:37,520 --> 00:24:41,199 Speaker 1: They know perfectly well the difference between what Brock and 473 00:24:41,280 --> 00:24:44,960 Speaker 1: Hillary were saying in twenty ten, twenty fifteen, whatever, and 474 00:24:45,320 --> 00:24:48,080 Speaker 1: what they're saying now. They just don't care. Their cynics. 475 00:24:48,560 --> 00:24:54,560 Speaker 1: But your average you know, left voter, not like center 476 00:24:54,680 --> 00:24:58,879 Speaker 1: left Iowa farmer always votes Democratic, you're left voter. Do 477 00:24:58,960 --> 00:25:03,639 Speaker 1: they have any awareness of how much their own position 478 00:25:03,720 --> 00:25:07,199 Speaker 1: has changed? Or are they just so governed by feelings. 479 00:25:07,240 --> 00:25:08,960 Speaker 1: They don't know. I honestly don't know the answer to 480 00:25:08,960 --> 00:25:09,399 Speaker 1: that question. 481 00:25:10,080 --> 00:25:12,359 Speaker 3: Do you think I think so. But do you think 482 00:25:12,359 --> 00:25:14,320 Speaker 3: Barack Obama believed that at the time. 483 00:25:14,359 --> 00:25:16,600 Speaker 1: I think he did. I think he did too. Yeah, 484 00:25:16,640 --> 00:25:17,240 Speaker 1: one hundred percent. 485 00:25:17,480 --> 00:25:19,520 Speaker 3: Well, because it's right for one thing, it's just one 486 00:25:19,600 --> 00:25:22,199 Speaker 3: hundred percent correct everything he said. 487 00:25:22,720 --> 00:25:27,160 Speaker 1: Right right. I think he was holding out hope that 488 00:25:28,320 --> 00:25:31,320 Speaker 1: Congress could come together and come up with an immigration 489 00:25:31,440 --> 00:25:35,280 Speaker 1: plan that would get a few of his his wish 490 00:25:35,320 --> 00:25:36,240 Speaker 1: list passed. 491 00:25:37,200 --> 00:25:40,520 Speaker 3: So I did hear two more things on immigration. I 492 00:25:40,560 --> 00:25:47,199 Speaker 3: heard somebody say, and this might be true, that Trump 493 00:25:47,280 --> 00:25:53,600 Speaker 3: wanted such a big, splashy, chaotic, ugly we ain't putting 494 00:25:53,680 --> 00:25:57,800 Speaker 3: up with this anymore, that it completely maybe for a generation, 495 00:25:58,240 --> 00:26:01,919 Speaker 3: sends a message to the world don't come. Not just 496 00:26:02,240 --> 00:26:06,040 Speaker 3: Kamala and Biden saying don't while rolling out the red 497 00:26:06,040 --> 00:26:09,280 Speaker 3: carpet and promising free healthcare, but like don't, as in, 498 00:26:09,359 --> 00:26:12,520 Speaker 3: we're going to drag you out of your house. And 499 00:26:13,000 --> 00:26:15,680 Speaker 3: it probably will work. And that's probably what's actually going 500 00:26:15,720 --> 00:26:18,960 Speaker 3: to happen. It'll be a long time before you have 501 00:26:19,800 --> 00:26:22,520 Speaker 3: what do they call those caravans headed toward the border, 502 00:26:22,560 --> 00:26:24,639 Speaker 3: thinking they can come in and just enjoy, you know, 503 00:26:24,720 --> 00:26:27,679 Speaker 3: being in the United States setting up shop. I think 504 00:26:27,720 --> 00:26:30,040 Speaker 3: it'll be a long time before that happens, probably what 505 00:26:30,200 --> 00:26:32,639 Speaker 3: further than Trump wanted and it's turned in to blowback 506 00:26:32,680 --> 00:26:33,119 Speaker 3: and all that. 507 00:26:33,200 --> 00:26:37,920 Speaker 1: But but what if, like I don't know, something crazy happens, 508 00:26:37,960 --> 00:26:40,360 Speaker 1: then the Democrats just win the White House with big 509 00:26:40,440 --> 00:26:45,000 Speaker 1: numbers and it's a lefty lefty not a Rama manual, 510 00:26:45,040 --> 00:26:47,840 Speaker 1: but a Gavin Newsom. You don't think those borders will 511 00:26:47,840 --> 00:26:50,440 Speaker 1: be opened immediately and we're going to filter out quickly. 512 00:26:50,720 --> 00:26:53,240 Speaker 3: I don't know, certainly might happen. And then one other 513 00:26:53,280 --> 00:26:55,120 Speaker 3: thing on this and then we can move on because 514 00:26:55,119 --> 00:26:56,359 Speaker 3: there's some other thing I want to bring. 515 00:26:56,280 --> 00:26:58,320 Speaker 1: Up, which, by the way, is why you don't do 516 00:26:58,480 --> 00:26:59,960 Speaker 1: stupid stuff so you don't lose. 517 00:27:00,160 --> 00:27:04,040 Speaker 3: Was that election, and well it's also a reason why 518 00:27:04,080 --> 00:27:08,760 Speaker 3: you pass legislation. Of course, there is legislation around illegal immigration, 519 00:27:08,880 --> 00:27:10,240 Speaker 3: just lots of people don't want to follow it. But 520 00:27:10,240 --> 00:27:12,359 Speaker 3: it's a lot harder to change laws than it is 521 00:27:12,920 --> 00:27:17,040 Speaker 3: you know, executive orders and enforcement of laws by presidencies, 522 00:27:17,960 --> 00:27:19,879 Speaker 3: so it doesn't swing back and forth so fast. The 523 00:27:20,000 --> 00:27:22,199 Speaker 3: other thing is I heard Brian kill Mead say this 524 00:27:22,280 --> 00:27:24,560 Speaker 3: on Fox and Friends this morning. I haven't heard this 525 00:27:24,600 --> 00:27:29,080 Speaker 3: anywhere else. So the Democrats are saying they're not going 526 00:27:29,119 --> 00:27:35,200 Speaker 3: to vote for the next bill that funds the government 527 00:27:35,359 --> 00:27:38,600 Speaker 3: unless you pull the DHS money out of it. You 528 00:27:38,600 --> 00:27:40,520 Speaker 3: need to pull the DHS money out of it. 529 00:27:41,040 --> 00:27:43,120 Speaker 1: We'll vote on that separately, I guess. 530 00:27:42,840 --> 00:27:42,919 Speaker 4: And. 531 00:27:44,480 --> 00:27:47,959 Speaker 3: Republicans are saying no, so, and you need sixty votes 532 00:27:47,960 --> 00:27:51,199 Speaker 3: to pass the legislation, so Democrats could actually hold it 533 00:27:51,280 --> 00:27:55,200 Speaker 3: up on that kill. Mead's theory was that big long 534 00:27:55,240 --> 00:27:58,600 Speaker 3: government shut down that had no effect on me, but 535 00:27:58,640 --> 00:28:01,000 Speaker 3: I guess it did on some of you. The longest 536 00:28:01,000 --> 00:28:05,600 Speaker 3: shutdown we've ever had recently had an actual measurable effect 537 00:28:05,640 --> 00:28:08,480 Speaker 3: on the economy. The government is so freaking big, and 538 00:28:08,520 --> 00:28:11,359 Speaker 3: it lasts long enough. It's the only like real blip 539 00:28:11,400 --> 00:28:14,679 Speaker 3: we've had in economic growth in a while. And he 540 00:28:14,840 --> 00:28:18,440 Speaker 3: thinks they want another shut down. With another blip in 541 00:28:18,560 --> 00:28:23,199 Speaker 3: economic growth headed into the midterms, that's a reason to 542 00:28:23,359 --> 00:28:26,000 Speaker 3: shut the government down, and this is a great excuse 543 00:28:26,080 --> 00:28:26,359 Speaker 3: for it. 544 00:28:27,400 --> 00:28:30,679 Speaker 1: They could blame the tariffs, which honestly I'm still against. 545 00:28:30,720 --> 00:28:34,520 Speaker 1: I don't think they're good for the economy, but uh wow, wow, wow, 546 00:28:34,600 --> 00:28:38,760 Speaker 1: that would be really really cynical, which means it's probably likely. 547 00:28:38,880 --> 00:28:41,080 Speaker 3: Yeah, Chuck Schumer says, hey man, we got the win 548 00:28:41,160 --> 00:28:45,280 Speaker 3: at our back on this whole Minneapolis ice thing. We 549 00:28:45,320 --> 00:28:47,280 Speaker 3: say we're gonna shut down the government over this. People 550 00:28:47,280 --> 00:28:49,520 Speaker 3: will be on board with us, and we can shut 551 00:28:49,560 --> 00:28:51,680 Speaker 3: down the government a while and hurt the economy. 552 00:28:52,080 --> 00:28:54,200 Speaker 1: Well, you and your dogs should get on board with 553 00:28:54,520 --> 00:28:57,920 Speaker 1: rough Greens. You don't have to change your dog's food. 554 00:28:58,000 --> 00:28:59,880 Speaker 1: Rough Greens isn't a dog food. It's a live, new 555 00:29:00,040 --> 00:29:03,240 Speaker 1: uditional supplement you add to your dog's food. So just 556 00:29:03,360 --> 00:29:06,280 Speaker 1: add a scoop of Roughgreens. 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All you have to do is cover the shipping. 564 00:29:26,280 --> 00:29:30,080 Speaker 3: Just use the discount code Armstrong to claim your free 565 00:29:30,120 --> 00:29:32,360 Speaker 3: Jumpstart Trial bag at roughgreens dot com. 566 00:29:32,600 --> 00:29:36,000 Speaker 1: Rough Greens supplements the diet with natural antioxidants and anti 567 00:29:36,040 --> 00:29:40,120 Speaker 1: inflammatory compounds that help reduce oxidative stress. I hate oxidative stress. 568 00:29:40,360 --> 00:29:43,080 Speaker 1: Supporting immune defense and slow age related decline. Helping your 569 00:29:43,120 --> 00:29:47,040 Speaker 1: dogs day active, mobile and alert as it ages. Roughgreens 570 00:29:47,080 --> 00:29:51,120 Speaker 1: dot com it's are uff rough are Uffgreens dot com. 571 00:29:51,200 --> 00:29:53,280 Speaker 1: Use that promo code armstrong. Don't change your dog's food, 572 00:29:53,320 --> 00:29:56,000 Speaker 1: Just add rough Greens and watch the health benefits come alive. Woof, woof. 573 00:29:56,360 --> 00:29:58,360 Speaker 3: Something I wanted to get on before we go off 574 00:29:58,400 --> 00:30:01,440 Speaker 3: there in Los Angeles today because a trial began in 575 00:30:01,800 --> 00:30:05,720 Speaker 3: LA today what could be probably will be a landmark 576 00:30:05,840 --> 00:30:09,920 Speaker 3: trial against social media companies. They're getting into jury selection process. 577 00:30:09,960 --> 00:30:18,400 Speaker 3: What's it all about? We can explain that coming up. Landmark, 578 00:30:18,520 --> 00:30:22,800 Speaker 3: bell Weather some of the words being used to describe 579 00:30:22,880 --> 00:30:27,560 Speaker 3: the social media trial that is beginning today in Los Angeles. 580 00:30:28,080 --> 00:30:32,680 Speaker 3: Jury selection has begun already, the key being here there 581 00:30:32,800 --> 00:30:38,600 Speaker 3: is a jury. Jury's off an award crazy amounts of money, 582 00:30:39,200 --> 00:30:42,760 Speaker 3: even if it doesn't make sense. See the whole roundup 583 00:30:43,040 --> 00:30:47,520 Speaker 3: lymphoma thing where there's never really been proof that the 584 00:30:47,600 --> 00:30:51,560 Speaker 3: weed killer roundup causes lymphoma, but the guy in San 585 00:30:51,600 --> 00:30:57,080 Speaker 3: Francisco won like ninety million dollars from them, even because 586 00:30:57,080 --> 00:30:59,480 Speaker 3: a jury thought, well, it sure sounds like it could 587 00:30:59,480 --> 00:31:01,560 Speaker 3: have for some thing you. 588 00:31:01,600 --> 00:31:03,719 Speaker 1: Never got cancer. Yeah, they can afford it. 589 00:31:04,120 --> 00:31:06,280 Speaker 3: Yeah, exactly, they can afford it is always the thing 590 00:31:06,320 --> 00:31:08,520 Speaker 3: with jury's But and I don't know what side of 591 00:31:08,520 --> 00:31:10,960 Speaker 3: this I'm on depends on which little part of it 592 00:31:11,000 --> 00:31:13,280 Speaker 3: you're talking about. So what's going on here a Los 593 00:31:13,280 --> 00:31:17,080 Speaker 3: Angeles County Superior Court Today? Major tech platforms are being 594 00:31:17,880 --> 00:31:20,800 Speaker 3: sued over youth addiction and mental health arms with the 595 00:31:20,880 --> 00:31:29,280 Speaker 3: idea that they purposefully created uh, Instagram, TikTok, YouTube, and 596 00:31:29,360 --> 00:31:34,960 Speaker 3: Snapchat to be addictive. They obviously did, But to me, 597 00:31:35,320 --> 00:31:37,680 Speaker 3: whether or not that's illegal is a different question, which 598 00:31:37,680 --> 00:31:39,720 Speaker 3: we can get into a little bit. So your defendants 599 00:31:39,760 --> 00:31:44,200 Speaker 3: are meta, Instagram, Bite, Dance, TikTok, Google, YouTube, Like Zuckerberg's 600 00:31:44,240 --> 00:31:46,280 Speaker 3: going to be on the stand, I mean, like the 601 00:31:46,520 --> 00:31:48,280 Speaker 3: really heavyweights are going to be on the stand in 602 00:31:48,320 --> 00:31:53,040 Speaker 3: this trial. Snapchat was involved, which has been a bad 603 00:31:53,080 --> 00:31:56,160 Speaker 3: thing in my family just in recent weeks. But they 604 00:31:56,280 --> 00:31:59,800 Speaker 3: settled out of court like this morning some sort of, 605 00:32:00,680 --> 00:32:04,400 Speaker 3: so they are off the hook for now. They settled 606 00:32:04,400 --> 00:32:06,880 Speaker 3: separately before the start of the trial today. Who knows 607 00:32:06,880 --> 00:32:11,160 Speaker 3: how many gazillions of dollars they forked over to stay 608 00:32:11,160 --> 00:32:11,480 Speaker 3: out of. 609 00:32:11,440 --> 00:32:13,960 Speaker 1: This, too bad, because I'd like to see some good, solid, 610 00:32:14,680 --> 00:32:17,560 Speaker 1: you know, precedents set. It includes. 611 00:32:17,560 --> 00:32:20,480 Speaker 3: The plaintiffs include a nineteen year old identified as KGM, 612 00:32:20,520 --> 00:32:23,560 Speaker 3: representing families claiming the platforms are intentionally designed to be 613 00:32:23,560 --> 00:32:31,600 Speaker 3: addictive and harmful to children's mental health. Well, addictive, obviously harmful. 614 00:32:31,640 --> 00:32:34,240 Speaker 3: That then that's got to be proven, I guess. But man, 615 00:32:34,520 --> 00:32:35,600 Speaker 3: I'll bet a jury buys it. 616 00:32:36,280 --> 00:32:38,520 Speaker 1: Yeah, but how do you prove what's addictive and what's 617 00:32:38,640 --> 00:32:41,720 Speaker 1: just so much darn fun? This is addictive? Well? Right? 618 00:32:41,880 --> 00:32:44,400 Speaker 3: Or is it a crime to make something addictives a 619 00:32:44,400 --> 00:32:48,160 Speaker 3: loaded term, but just something you really really like that 620 00:32:48,520 --> 00:32:50,440 Speaker 3: you're gonna do a whole bunch of times? 621 00:32:52,000 --> 00:32:54,840 Speaker 1: Is that a crime? I mean, I'm thinking about the 622 00:32:55,040 --> 00:32:58,960 Speaker 1: game of baseball? Was that for me? Well right? Right? 623 00:32:59,080 --> 00:33:01,120 Speaker 3: Or playing the piano, or as food or all kinds 624 00:33:01,160 --> 00:33:02,959 Speaker 3: of different things that I really like and do too 625 00:33:03,040 --> 00:33:06,400 Speaker 3: much sometimes? And chocolate cake? Is that a design to 626 00:33:06,400 --> 00:33:10,040 Speaker 3: be addictive? And now social media is evil? Evil for kids, 627 00:33:10,160 --> 00:33:16,840 Speaker 3: especially evil, full on evil? But how do you nail them? Yeah? 628 00:33:17,480 --> 00:33:20,200 Speaker 3: This could influence how social media platforms are regulated and 629 00:33:20,280 --> 00:33:24,360 Speaker 3: change challenge legal protections going forward. For all companies all 630 00:33:24,360 --> 00:33:28,200 Speaker 3: around the world, no doubt about that. The lawsuit claims 631 00:33:28,240 --> 00:33:32,840 Speaker 3: companies built features like like look at these individually infinite scroll. 632 00:33:33,520 --> 00:33:35,920 Speaker 3: How could that be a crime? You made it easier 633 00:33:35,920 --> 00:33:37,920 Speaker 3: for me to scroll through this stuff? Does it make 634 00:33:37,960 --> 00:33:40,640 Speaker 3: it more likely I spend too much time on here? Yes, 635 00:33:41,160 --> 00:33:45,000 Speaker 3: but you just made a product I like easier to use. 636 00:33:45,280 --> 00:33:46,479 Speaker 3: How could that be a crime. 637 00:33:47,240 --> 00:33:49,400 Speaker 1: Yeah? I hate these people, but you got to steal 638 00:33:49,400 --> 00:33:51,040 Speaker 1: a man in the arguments, you know what I mean. 639 00:33:51,120 --> 00:33:53,840 Speaker 1: I mean, it's like if the golf store were to say, 640 00:33:53,840 --> 00:33:56,600 Speaker 1: excuse me, excuse me, uh, mister gatty, I'm going to 641 00:33:56,680 --> 00:33:59,200 Speaker 1: have to ask you to stop buying golf. You've spent 642 00:33:59,320 --> 00:34:02,160 Speaker 1: enough now. It's just unlikely they would do that. 643 00:34:02,440 --> 00:34:04,720 Speaker 3: Are the fact that they put the new drivers right 644 00:34:04,760 --> 00:34:07,120 Speaker 3: by the front door because that's what they know most 645 00:34:07,120 --> 00:34:08,960 Speaker 3: people are interested in. Is that illegal? 646 00:34:10,480 --> 00:34:11,160 Speaker 1: I don't, I don't. 647 00:34:11,200 --> 00:34:12,920 Speaker 3: I don't. I don't know where they're gonna go with 648 00:34:12,920 --> 00:34:18,520 Speaker 3: this infinite scroll auto play Again, I don't see why 649 00:34:18,520 --> 00:34:19,120 Speaker 3: that's a crime. 650 00:34:19,160 --> 00:34:20,120 Speaker 1: You just okay. 651 00:34:20,800 --> 00:34:25,240 Speaker 3: Notifications recommendation algorithms specifically designed to keep young users engaged. 652 00:34:25,680 --> 00:34:28,920 Speaker 1: That's your job as a business. That's that's Our job. 653 00:34:28,840 --> 00:34:31,960 Speaker 3: Our job, every single day for four hours, is to 654 00:34:31,960 --> 00:34:36,919 Speaker 3: try to keep you engaged the entire time. I hate 655 00:34:36,920 --> 00:34:38,879 Speaker 3: these social media companies too, but I mean, these are 656 00:34:38,920 --> 00:34:40,520 Speaker 3: some really squishy things. 657 00:34:41,120 --> 00:34:43,359 Speaker 1: We need an algorithm, Michael, come up with one. 658 00:34:43,480 --> 00:34:47,600 Speaker 3: Now, whether or not they knew they were contributed to anxiety, depression, 659 00:34:47,680 --> 00:34:51,839 Speaker 3: eating disorders and other harms, and like, you know, let's 660 00:34:51,880 --> 00:34:54,560 Speaker 3: develop AutoPlay. This will make them super depressed, but it'll 661 00:34:54,760 --> 00:34:55,680 Speaker 3: make us more money. 662 00:34:56,120 --> 00:34:56,480 Speaker 1: I don't know. 663 00:34:56,520 --> 00:34:58,560 Speaker 3: And it's again, it's a jury trial. All they got 664 00:34:58,560 --> 00:35:01,200 Speaker 3: to do is make the jury think. I'll bet they did. Besides, 665 00:35:01,239 --> 00:35:04,040 Speaker 3: who's richer than Google? Nine billion dollars? 666 00:35:05,080 --> 00:35:08,000 Speaker 1: I need to ask an actual attorney about this. But 667 00:35:08,160 --> 00:35:11,680 Speaker 1: if you are selling something and you are aware of 668 00:35:11,719 --> 00:35:18,600 Speaker 1: the harms that is causing, and you do so anyway, okay, 669 00:35:18,640 --> 00:35:19,839 Speaker 1: where's the liability? 670 00:35:21,160 --> 00:35:24,239 Speaker 3: I'll use an example of Tucker Carlson or maybe even 671 00:35:24,320 --> 00:35:27,520 Speaker 3: just MSNBC or Fox News. You know, you're whipping people 672 00:35:27,600 --> 00:35:30,719 Speaker 3: up and probably making them more afraid, and you're and 673 00:35:30,960 --> 00:35:34,040 Speaker 3: the whole design is to keep them tuned in. Have 674 00:35:34,120 --> 00:35:35,800 Speaker 3: you crossed some sort of line? And you know, billions 675 00:35:35,840 --> 00:35:38,359 Speaker 3: of dollars to people who are more anxious now than 676 00:35:38,400 --> 00:35:39,960 Speaker 3: they were before they watched the news. 677 00:35:40,640 --> 00:35:43,439 Speaker 1: This stuff is all pretty squishy. I see your point, 678 00:35:43,680 --> 00:35:45,680 Speaker 1: and I would love to come up with a way 679 00:35:45,719 --> 00:35:48,719 Speaker 1: to rain these these people in there. They're satan, They're 680 00:35:48,719 --> 00:35:53,400 Speaker 1: the devil. But it's tough. Well, I can't wait to 681 00:35:53,440 --> 00:35:54,320 Speaker 1: follow this story. 682 00:35:54,400 --> 00:35:57,600 Speaker 3: As a guy who the reason I followed the roundup 683 00:35:57,719 --> 00:36:02,560 Speaker 3: lymphoma thing closely was I got and like waited and 684 00:36:02,680 --> 00:36:05,239 Speaker 3: round up for many, many years working on farms and 685 00:36:05,320 --> 00:36:07,719 Speaker 3: that sort of stuff. But there still has been no 686 00:36:08,000 --> 00:36:12,200 Speaker 3: solid link yet. A jury has ordered a gazillions of 687 00:36:12,239 --> 00:36:15,000 Speaker 3: dollars be paid out people. I think it's not gonna 688 00:36:15,000 --> 00:36:17,200 Speaker 3: be hard to convince a jury, especially with the kind 689 00:36:17,200 --> 00:36:22,000 Speaker 3: of money Google's got, Zuckerberg's got. I think there's gonna 690 00:36:22,000 --> 00:36:24,799 Speaker 3: be big payouts. It's gonna be interesting to watch. If 691 00:36:24,800 --> 00:36:26,400 Speaker 3: you missed a segment of this show, get the podcast 692 00:36:26,520 --> 00:36:27,720 Speaker 3: Armstrong and Getty on demand. 693 00:36:28,840 --> 00:36:30,000 Speaker 1: Armstrong and Getty