1 00:00:01,280 --> 00:00:02,519 Speaker 1: Something's not right. 2 00:00:02,600 --> 00:00:05,920 Speaker 2: Your crime is up all over. The state. 3 00:00:07,360 --> 00:00:11,240 Speaker 3: Is out of control, the economy is sick, axes are high. 4 00:00:11,080 --> 00:00:15,400 Speaker 4: Housing is expensive, and businesses are leaving. Leaving California means fixing, 5 00:00:16,960 --> 00:00:20,000 Speaker 4: and John Phillips is just the man to lead the charge. 6 00:00:20,280 --> 00:00:24,640 Speaker 4: It's the Fix California Hour with John Phillips and Randy Wang. 7 00:00:28,960 --> 00:00:32,360 Speaker 5: And we continue at one oh five in the afternoon 8 00:00:32,479 --> 00:00:33,880 Speaker 5: on the John Phillips Show. 9 00:00:34,320 --> 00:00:36,440 Speaker 2: Mister Randy Wang's in Toronto, Canada. 10 00:00:36,960 --> 00:00:40,040 Speaker 6: John, we are broadcasting live on the radio on seven 11 00:00:40,159 --> 00:00:44,239 Speaker 6: ninety KABC in southern California eight ten KSFO in the 12 00:00:44,280 --> 00:00:48,960 Speaker 6: Bay Area, but we're also broadcasting live on video around 13 00:00:49,000 --> 00:00:54,320 Speaker 6: the world at YouTube dot com, slash at Randy Wang Radio, 14 00:00:54,880 --> 00:00:57,880 Speaker 6: or you can go to x at Johnny Don't Like, 15 00:00:58,360 --> 00:01:04,480 Speaker 6: Facebook at KAB Radio, Facebook at eight ten KSFO, or 16 00:01:04,680 --> 00:01:07,960 Speaker 6: Twitch at Randy Wang Radio. The liveliest chat room is 17 00:01:08,000 --> 00:01:12,119 Speaker 6: the one that's going on all day in the YouTube, 18 00:01:12,160 --> 00:01:14,760 Speaker 6: so check it out. Play along with us. We're here 19 00:01:14,800 --> 00:01:19,360 Speaker 6: till three o'clock YouTube dot com, slash at Randy Wang Radio, 20 00:01:19,440 --> 00:01:22,280 Speaker 6: and if you're in the room, smash that like button 21 00:01:22,319 --> 00:01:25,160 Speaker 6: that thumbs up. It means a big deal to us 22 00:01:25,240 --> 00:01:28,640 Speaker 6: and it helps YouTube push us out to even more people, 23 00:01:28,720 --> 00:01:32,280 Speaker 6: so we can slowly but surely take over these internets. 24 00:01:33,240 --> 00:01:37,000 Speaker 5: Coming up later on in the program, Robbie Suave joins us. 25 00:01:37,040 --> 00:01:38,560 Speaker 2: That's after the News at two. 26 00:01:39,240 --> 00:01:41,600 Speaker 5: But first we have an update for you on a 27 00:01:41,640 --> 00:01:46,080 Speaker 5: story we brought you earlier this week about a peculiar 28 00:01:46,200 --> 00:01:49,400 Speaker 5: thing going on at the Department of Motor Vehicles. 29 00:01:50,560 --> 00:01:54,960 Speaker 6: The DMV told ten thousand people in the state of 30 00:01:55,000 --> 00:02:01,000 Speaker 6: California that their written drivers tests were in valid and 31 00:02:01,040 --> 00:02:06,120 Speaker 6: they needed to retake them, without any specifics as to why. 32 00:02:06,600 --> 00:02:08,919 Speaker 6: There are rumors that it has to do with cheating, 33 00:02:09,360 --> 00:02:13,600 Speaker 6: but the DMV has no evidence of that. You have 34 00:02:13,840 --> 00:02:17,440 Speaker 6: state senators that have tried to get questions answered for 35 00:02:17,560 --> 00:02:20,920 Speaker 6: their constituents about this, and the DMB has been very 36 00:02:21,000 --> 00:02:24,040 Speaker 6: tight lipped until they did put out a statement this 37 00:02:24,120 --> 00:02:28,400 Speaker 6: week to Ashley Savalla at CAC three tonight. 38 00:02:28,440 --> 00:02:32,000 Speaker 3: There is the potential for a criminal investigation after thousands 39 00:02:32,000 --> 00:02:35,160 Speaker 3: of people were told to retake their written driver's test 40 00:02:35,400 --> 00:02:36,000 Speaker 3: and the DMV. 41 00:02:36,200 --> 00:02:36,840 Speaker 1: What happened here? 42 00:02:36,840 --> 00:02:39,680 Speaker 6: Did somebody post the entire test on Reddit or something? 43 00:02:40,360 --> 00:02:41,600 Speaker 2: You know what I think happened. 44 00:02:41,960 --> 00:02:44,400 Speaker 5: I think these people went down to the DMV they 45 00:02:44,400 --> 00:02:48,040 Speaker 5: took the test, they turned the test over to the clerks. 46 00:02:48,680 --> 00:02:51,280 Speaker 5: The clerks then went to grade the tests and they 47 00:02:51,320 --> 00:02:53,600 Speaker 5: had a big box of papers right in front of them, 48 00:02:54,040 --> 00:02:56,160 Speaker 5: but instead of seeing a bunch of tests, all they 49 00:02:56,200 --> 00:02:58,239 Speaker 5: had were ballots for Nitthia Rahman. 50 00:03:00,120 --> 00:03:02,840 Speaker 3: Is saying this is because of possible cheating, and lawmakers 51 00:03:02,880 --> 00:03:05,520 Speaker 3: from both political parties are now slamming the department for 52 00:03:05,560 --> 00:03:07,639 Speaker 3: its lack of transparency on this issue. 53 00:03:07,840 --> 00:03:08,680 Speaker 4: Case Every three. 54 00:03:08,560 --> 00:03:12,000 Speaker 7: Political director Ashley Zavala shares what the DMV is saying. 55 00:03:12,520 --> 00:03:14,639 Speaker 8: The director of the DMV has confirmed there is an 56 00:03:14,680 --> 00:03:19,720 Speaker 8: ongoing criminal investigation possibly into the situation. On California politics 57 00:03:19,760 --> 00:03:22,679 Speaker 8: three sixty this weekend, we heard from State Senator Dave Cortesi, 58 00:03:22,720 --> 00:03:25,840 Speaker 8: who is the chairman of the California Senate's Transportation Committee, 59 00:03:26,000 --> 00:03:29,280 Speaker 8: and he's been left with several questions. Now, this all 60 00:03:29,320 --> 00:03:30,840 Speaker 8: comes after the DMV sentience. 61 00:03:31,000 --> 00:03:35,440 Speaker 6: This really does show that in a state like California 62 00:03:35,520 --> 00:03:39,800 Speaker 6: with term limits, the unelected bureaucrats think they run the show. 63 00:03:39,880 --> 00:03:42,680 Speaker 2: The bureaucracy is real, and they do. 64 00:03:44,360 --> 00:03:47,839 Speaker 8: Notices to eleven thousand drivers to retake their driver's test 65 00:03:47,920 --> 00:03:52,839 Speaker 8: because of irregularities. Later, the DMV clarified that cheating may 66 00:03:52,880 --> 00:03:55,920 Speaker 8: be behind those irregularities and that it has gotten law 67 00:03:56,000 --> 00:03:59,680 Speaker 8: enforcement involved, and a letter to Senator Cortesi shared with 68 00:03:59,760 --> 00:04:03,800 Speaker 8: US today, the DMV's director, Steve Gordon, wrote, in part quote, 69 00:04:04,120 --> 00:04:09,000 Speaker 8: because these matters involve ongoing investigations with potential criminal implications, 70 00:04:09,360 --> 00:04:15,240 Speaker 8: the DMV cannot disclose the specific investigative techniques, evidentiary thresholds, 71 00:04:15,360 --> 00:04:19,600 Speaker 8: or analytical methodologies used to identify affected individuals. 72 00:04:19,880 --> 00:04:24,400 Speaker 6: It's so strange, though, how did you identify eleven thousand 73 00:04:25,000 --> 00:04:26,000 Speaker 6: cheated tests? 74 00:04:26,200 --> 00:04:27,240 Speaker 1: I just I don't get it. 75 00:04:27,920 --> 00:04:30,760 Speaker 5: Do you realize how pathetic you have to be to 76 00:04:30,960 --> 00:04:35,120 Speaker 5: cheat on a DMV test in order to pass. If 77 00:04:35,120 --> 00:04:37,520 Speaker 5: you are so dim that you don't know that red 78 00:04:37,560 --> 00:04:42,520 Speaker 5: means stop and green means go, then you're definitely not 79 00:04:42,600 --> 00:04:44,560 Speaker 5: smart enough to figure out a way to cheat on 80 00:04:44,600 --> 00:04:45,240 Speaker 5: the test too. 81 00:04:46,520 --> 00:04:51,479 Speaker 8: Public disclosure of those details would risk compromising ongoing investigations, 82 00:04:51,960 --> 00:04:57,040 Speaker 8: undermining future enforcement efforts, and enabling individuals to circumvent the 83 00:04:57,080 --> 00:05:01,880 Speaker 8: department's fraud detection processes. Or Kortesi told me, an investigation 84 00:05:02,000 --> 00:05:04,800 Speaker 8: into cheating is not a good reason to keep information 85 00:05:04,839 --> 00:05:07,560 Speaker 8: from the public. I asked if Cortesi plans to call 86 00:05:07,600 --> 00:05:09,400 Speaker 8: an oversight hearing. Here's what he said. 87 00:05:09,839 --> 00:05:11,800 Speaker 7: Well, you know, there's a couple members of the committee, 88 00:05:11,800 --> 00:05:14,159 Speaker 7: the chair and advice chair, that have shown great interest 89 00:05:14,160 --> 00:05:18,480 Speaker 7: in this. I can only imagine when the other members 90 00:05:18,520 --> 00:05:20,320 Speaker 7: come back, and there's more than a dozen members on 91 00:05:20,360 --> 00:05:23,800 Speaker 7: that committee. I think seventeen at last count is bipartisan. 92 00:05:24,240 --> 00:05:26,680 Speaker 7: There's been a bipartisan response to this so far. It's 93 00:05:26,680 --> 00:05:29,360 Speaker 7: been very consistent. This isn't an issue of Republicans and 94 00:05:29,400 --> 00:05:33,160 Speaker 7: Democrats not agreed. This is an issue of people wanting 95 00:05:33,200 --> 00:05:37,039 Speaker 7: answers from both parties, from both sides of the aisle. 96 00:05:37,920 --> 00:05:41,600 Speaker 7: So I think it's quite possible that either in my committee, 97 00:05:41,680 --> 00:05:44,520 Speaker 7: we haven't gone that far yet, but if we don't 98 00:05:44,560 --> 00:05:48,000 Speaker 7: get answers that are satisfactory, the next step is generally 99 00:05:48,000 --> 00:05:49,000 Speaker 7: to call public hearing. 100 00:05:50,320 --> 00:05:52,400 Speaker 6: That is so ridiculous that we have to go this 101 00:05:52,560 --> 00:05:56,560 Speaker 6: far where even the chair of the Senate Transportation Committee 102 00:05:56,800 --> 00:06:00,040 Speaker 6: has no juice with the DMV to just say what 103 00:05:59,839 --> 00:06:01,359 Speaker 6: the hell happened here? 104 00:06:01,960 --> 00:06:05,559 Speaker 5: This should be one of these situations where this guy 105 00:06:05,839 --> 00:06:08,760 Speaker 5: just gets on the phone with whoever it is that's 106 00:06:08,839 --> 00:06:11,880 Speaker 5: running the DMV and you get it worked out in 107 00:06:11,920 --> 00:06:16,040 Speaker 5: a fifteen minute conversation. The fact that that cannot be 108 00:06:16,160 --> 00:06:19,760 Speaker 5: done shows you that this is a rogue agency that 109 00:06:19,920 --> 00:06:22,839 Speaker 5: just does its own thing and believes that there's no 110 00:06:23,000 --> 00:06:25,560 Speaker 5: oversight at all. 111 00:06:25,680 --> 00:06:28,680 Speaker 8: So the DMV shared that letter that it sent to 112 00:06:28,760 --> 00:06:31,760 Speaker 8: Cortesy on the seventeenth when we ask the agency to 113 00:06:31,839 --> 00:06:35,480 Speaker 8: respond to the criticism it's getting from both Democrats and Republicans. 114 00:06:36,000 --> 00:06:39,360 Speaker 8: In the letter, DMV Director Steve Gordon wrote, quote, we 115 00:06:39,400 --> 00:06:43,040 Speaker 8: appreciate the legislature's oversight role and will continue to provide 116 00:06:43,080 --> 00:06:48,480 Speaker 8: additional information as appropriate without compromising ongoing criminal investigations or 117 00:06:48,600 --> 00:06:49,880 Speaker 8: enforcement activities. 118 00:06:49,960 --> 00:06:51,640 Speaker 2: End quote back to you, it's like. 119 00:06:51,600 --> 00:06:56,120 Speaker 6: They're talking about like some massive FBI RICO investigation here 120 00:06:56,200 --> 00:06:57,720 Speaker 6: that can't be what this is. 121 00:06:59,320 --> 00:07:03,240 Speaker 5: No, and my guess is that the people who were 122 00:07:03,279 --> 00:07:07,640 Speaker 5: accused of cheating weren't cheating. That this is some sort 123 00:07:07,680 --> 00:07:11,880 Speaker 5: of screwed up algorithm that they have that is falsely 124 00:07:13,280 --> 00:07:18,040 Speaker 5: accusing people of doing illegal things. Well, okay, then your 125 00:07:18,080 --> 00:07:21,480 Speaker 5: algorithm is wrong and you need to change that, and 126 00:07:21,480 --> 00:07:25,480 Speaker 5: this should be a relatively easy fix. But instead of 127 00:07:25,800 --> 00:07:29,640 Speaker 5: acknowledging that whatever tools they have to catch cheating do 128 00:07:29,760 --> 00:07:33,160 Speaker 5: not work or at least have false positives, all the time, 129 00:07:33,840 --> 00:07:36,560 Speaker 5: they're being secretive and they're digging in their heels. 130 00:07:37,640 --> 00:07:41,440 Speaker 6: Listener, I love these usernames Space Dreamer, nine thousand rites. 131 00:07:41,520 --> 00:07:44,200 Speaker 6: And I bet that woman who was tagging cheated on 132 00:07:44,240 --> 00:07:45,280 Speaker 6: her DMV test. 133 00:07:45,640 --> 00:07:48,160 Speaker 5: Oh, I bet you she cheated on well, not just 134 00:07:48,240 --> 00:07:52,360 Speaker 5: that test. I bet you. I bet you those guys 135 00:07:52,360 --> 00:07:54,920 Speaker 5: that I talked about before. I bet you they cheated 136 00:07:54,960 --> 00:08:00,440 Speaker 5: on their paternity tests. And I bet you she cheated 137 00:08:00,440 --> 00:08:02,119 Speaker 5: on a drug test or two in her time. 138 00:08:03,080 --> 00:08:03,800 Speaker 1: You know what you're gonna do. 139 00:08:03,840 --> 00:08:07,200 Speaker 6: You're gonna start incentivizing people to send us stories that 140 00:08:07,280 --> 00:08:10,800 Speaker 6: inexplicably have fat asked women just so you can do 141 00:08:10,920 --> 00:08:11,640 Speaker 6: this every day. 142 00:08:12,120 --> 00:08:16,720 Speaker 5: Well, she shouldn't have been tagging that building, That's right. 143 00:08:17,040 --> 00:08:18,000 Speaker 2: I like that. 144 00:08:18,000 --> 00:08:18,840 Speaker 9: That is amazing. 145 00:08:19,000 --> 00:08:21,760 Speaker 4: Speaking of Badanka, Donk, Well, you did reach out to 146 00:08:21,760 --> 00:08:24,080 Speaker 4: the Attorney General Rob Banta's office to see if the 147 00:08:24,160 --> 00:08:27,360 Speaker 4: DMV has looped his office into any of these cases. 148 00:08:27,560 --> 00:08:29,200 Speaker 2: We're still waiting to hear back about that. 149 00:08:30,120 --> 00:08:33,200 Speaker 6: So that is the latest on the drama going on 150 00:08:33,480 --> 00:08:37,720 Speaker 6: at the DMV. Still no real answer as to why 151 00:08:38,280 --> 00:08:43,439 Speaker 6: they canceled eleven thousand tests written tests, not the driving test, 152 00:08:43,480 --> 00:08:46,319 Speaker 6: but the writing test for people trying to get their 153 00:08:46,400 --> 00:08:48,480 Speaker 6: license in the state of California. 154 00:08:49,040 --> 00:08:53,000 Speaker 5: Imagine taking an afternoon off work so you can go 155 00:08:53,080 --> 00:08:56,000 Speaker 5: down to the DMV to take a test. You take it, 156 00:08:56,240 --> 00:08:59,200 Speaker 5: you pass it, you move on, and then they go, 157 00:08:59,520 --> 00:09:02,320 Speaker 5: we think you cheated, and we're not going to give 158 00:09:02,320 --> 00:09:05,280 Speaker 5: you a license, so you have to come back down here, 159 00:09:05,760 --> 00:09:08,920 Speaker 5: take another afternoon off work and take the test again. 160 00:09:12,160 --> 00:09:14,960 Speaker 6: What a paint of the butt, Katie kat writes in 161 00:09:15,480 --> 00:09:24,880 Speaker 6: Bonta useless. Now, Johnny, that's not the only story we 162 00:09:24,960 --> 00:09:29,280 Speaker 6: have going on with the California DMV. Because Gavin Newsom 163 00:09:29,480 --> 00:09:35,880 Speaker 6: unveiled his newest toy, a digital driver's license. You can 164 00:09:35,960 --> 00:09:38,960 Speaker 6: have one on your phone. Are you interested? 165 00:09:39,920 --> 00:09:43,240 Speaker 5: Okay, here's what's gonna happen. You're gonna get pulled over 166 00:09:43,440 --> 00:09:45,400 Speaker 5: and the battery on your phone is going to die, 167 00:09:45,480 --> 00:09:47,800 Speaker 5: and the cops are going to say, show us your license, 168 00:09:47,920 --> 00:09:50,080 Speaker 5: and you're gonna say you have a charger. 169 00:09:52,760 --> 00:09:56,400 Speaker 6: For more on the digital driver's license and what it 170 00:09:56,440 --> 00:10:00,480 Speaker 6: can do for you, here's a report from CB in 171 00:10:00,960 --> 00:10:02,520 Speaker 6: Los Angeles. 172 00:10:02,080 --> 00:10:02,800 Speaker 3: At eight tonight. 173 00:10:02,880 --> 00:10:06,320 Speaker 10: The DMV making some big changes to what you carry 174 00:10:06,360 --> 00:10:08,560 Speaker 10: in your wallet and it may mean skip. 175 00:10:08,720 --> 00:10:09,760 Speaker 1: Gavin needs a haircut. 176 00:10:11,040 --> 00:10:15,439 Speaker 5: Yeah, his hair keeps getting bigger and bigger and bigger, being. 177 00:10:15,320 --> 00:10:19,280 Speaker 10: Those dreaded lines. Yeah, you can tap to pay, but 178 00:10:19,400 --> 00:10:24,000 Speaker 10: what about carrying a digital driver's license. California is dramatically 179 00:10:24,040 --> 00:10:26,960 Speaker 10: expanding use of an app that allows millions of residents 180 00:10:27,200 --> 00:10:30,760 Speaker 10: to create their own license on their phone. Cbsla's Hunter 181 00:10:30,800 --> 00:10:32,680 Speaker 10: Sowards explains how it works. 182 00:10:32,880 --> 00:10:34,560 Speaker 6: That guy by the way that they used is the 183 00:10:34,600 --> 00:10:38,000 Speaker 6: model for the ad here way too excited about his 184 00:10:38,080 --> 00:10:39,640 Speaker 6: digital driver's license. 185 00:10:40,040 --> 00:10:48,360 Speaker 11: Hey, could Californians start living wallet free? 186 00:10:48,520 --> 00:10:52,360 Speaker 4: It's looking good back front verifire photo. 187 00:10:52,480 --> 00:10:56,079 Speaker 11: According to Governor Newsom Photo, it's as easy as one. 188 00:10:56,760 --> 00:10:59,400 Speaker 6: He's just getting ready for his future career as a TikToker. 189 00:11:01,240 --> 00:11:04,320 Speaker 2: Well, he tried the podcasting. 190 00:11:05,360 --> 00:11:10,640 Speaker 11: Two validating three mart demonstrating himself how the online process 191 00:11:10,720 --> 00:11:13,400 Speaker 11: works in less than a minute. He's promoting an app 192 00:11:13,400 --> 00:11:17,240 Speaker 11: that allows California drivers to create and carry a digital 193 00:11:17,360 --> 00:11:20,439 Speaker 11: version of their license on their phones. It's been tested 194 00:11:20,480 --> 00:11:23,439 Speaker 11: and limited numbers, and he's now rolling out across the state. 195 00:11:23,760 --> 00:11:25,760 Speaker 6: You know, I actually tried to sign up for this 196 00:11:25,880 --> 00:11:29,360 Speaker 6: when it was in beta testing, and it kept saying 197 00:11:29,440 --> 00:11:31,920 Speaker 6: that it could not verify that I was who I 198 00:11:31,960 --> 00:11:34,840 Speaker 6: said I was, and I just assumed that's because I 199 00:11:34,880 --> 00:11:37,679 Speaker 6: look eighty pounds lighter than my photo and my license. 200 00:11:39,000 --> 00:11:41,920 Speaker 5: You know, what's all on your phone? Do you have 201 00:11:42,040 --> 00:11:43,120 Speaker 5: Clear at the airport? 202 00:11:43,920 --> 00:11:46,280 Speaker 6: I don't have Clear, I've got Global Entry, but you've 203 00:11:46,320 --> 00:11:47,120 Speaker 6: got Clear now. 204 00:11:47,520 --> 00:11:51,600 Speaker 5: I have Global Entry and Clear and Global Entry is 205 00:11:51,640 --> 00:11:54,120 Speaker 5: a physical card that you have that you just attached 206 00:11:54,120 --> 00:11:57,160 Speaker 5: to your airline ticket when you book the ticket. But 207 00:11:57,320 --> 00:12:00,440 Speaker 5: Clear is something that you have on your phone, an app, 208 00:12:00,880 --> 00:12:02,480 Speaker 5: and it works like a Swiss clock. 209 00:12:05,040 --> 00:12:07,920 Speaker 6: Listener Sam writes in I didn't think Newsome appeared in 210 00:12:07,960 --> 00:12:15,080 Speaker 6: photos or mirrors. Listener Mike writes in, Gavin's hair gets 211 00:12:15,080 --> 00:12:17,160 Speaker 6: bigger to hide his ego. 212 00:12:21,160 --> 00:12:23,760 Speaker 12: Honestly because it's so handy that we can use the 213 00:12:23,800 --> 00:12:24,640 Speaker 12: phones for everything. 214 00:12:24,800 --> 00:12:27,400 Speaker 11: It got the green line from people breathing those dreaded 215 00:12:27,440 --> 00:12:29,880 Speaker 11: long DMB lines because everyone has. 216 00:12:29,720 --> 00:12:31,839 Speaker 13: A phone, not everyone wants to carry it back. 217 00:12:31,880 --> 00:12:35,120 Speaker 14: You know, really don't want to limit ourselves artificially and 218 00:12:35,200 --> 00:12:36,840 Speaker 14: put this in the hands of more people so they 219 00:12:36,880 --> 00:12:37,760 Speaker 14: can take advantage of it. 220 00:12:37,960 --> 00:12:40,520 Speaker 11: So what exactly can it be used for? It's accepted 221 00:12:40,559 --> 00:12:44,000 Speaker 11: at airports, to get through TSA, at some gas stations, 222 00:12:44,040 --> 00:12:47,720 Speaker 11: and even universities using it for financial aid applications. You 223 00:12:47,720 --> 00:12:50,080 Speaker 11: can use it to log into the DMV website and 224 00:12:50,120 --> 00:12:52,360 Speaker 11: cut down on the number of in person visits. 225 00:12:52,520 --> 00:12:55,200 Speaker 6: Yeah, I guess where you can't use it using it 226 00:12:55,200 --> 00:12:56,680 Speaker 6: as ID to get into a bar. 227 00:13:00,040 --> 00:13:02,160 Speaker 2: I can imagine why you. 228 00:13:02,200 --> 00:13:04,880 Speaker 6: Also can't use it to buy vodka ralfs. 229 00:13:05,760 --> 00:13:07,800 Speaker 1: It's great, but nobody really accepts. 230 00:13:07,480 --> 00:13:09,880 Speaker 2: It, and ultimately I was very frustrated with how. 231 00:13:09,800 --> 00:13:12,640 Speaker 1: It shouldn't we have the other end of this set 232 00:13:12,760 --> 00:13:13,199 Speaker 1: up first. 233 00:13:13,240 --> 00:13:16,000 Speaker 6: Before you tell people to download the app and put 234 00:13:16,080 --> 00:13:19,160 Speaker 6: up their digital driver's license, if you can't really use 235 00:13:19,200 --> 00:13:20,360 Speaker 6: it anywhere. 236 00:13:20,440 --> 00:13:21,200 Speaker 2: Here's the thing. 237 00:13:21,920 --> 00:13:24,040 Speaker 5: You should be able to use it in all the 238 00:13:24,080 --> 00:13:28,559 Speaker 5: same places that you can use in actual physical driver's license. 239 00:13:29,080 --> 00:13:31,680 Speaker 5: And if it's not the same thing as a physical 240 00:13:31,760 --> 00:13:34,880 Speaker 5: driver's license, you're one hundred percent correct, Randy. 241 00:13:35,160 --> 00:13:36,720 Speaker 2: They shouldn't even roll it out. 242 00:13:37,480 --> 00:13:41,120 Speaker 5: It's not widely accepted when it's a government provided service. 243 00:13:41,360 --> 00:13:43,600 Speaker 11: Many we spoke to who already have it wish more 244 00:13:43,640 --> 00:13:45,600 Speaker 11: businesses would often too using it. 245 00:13:45,920 --> 00:13:47,400 Speaker 14: But you know a few years ago we didn't use 246 00:13:47,400 --> 00:13:49,200 Speaker 14: our phones to pay with a credit card anymore. 247 00:13:49,280 --> 00:13:51,160 Speaker 4: Now we tap everywhere. 248 00:13:50,679 --> 00:13:52,920 Speaker 6: So you know, it's wild if you go to a 249 00:13:52,960 --> 00:13:56,640 Speaker 6: country where tipping isn't a thing like Ireland, and you're 250 00:13:56,720 --> 00:14:00,160 Speaker 6: going to buy a bunch of guinness because you just 251 00:14:00,200 --> 00:14:02,920 Speaker 6: everyone does Apple Pay there, and the bartender can just 252 00:14:03,000 --> 00:14:05,200 Speaker 6: hold out the reader and go tap tap tap tap, 253 00:14:05,240 --> 00:14:08,439 Speaker 6: tap tap tap and turn over ten barstools in about 254 00:14:08,480 --> 00:14:09,199 Speaker 6: five seconds. 255 00:14:09,280 --> 00:14:10,440 Speaker 2: It is really cool. 256 00:14:10,800 --> 00:14:13,640 Speaker 5: Did you know, speaking of Apple Pay on your phone, 257 00:14:14,160 --> 00:14:15,920 Speaker 5: you can also do it with your watch. 258 00:14:17,240 --> 00:14:18,560 Speaker 1: Oh yeah, I'm aware. 259 00:14:18,720 --> 00:14:19,600 Speaker 4: I have pick things to go. 260 00:14:19,760 --> 00:14:20,520 Speaker 6: Similarly with this. 261 00:14:20,840 --> 00:14:22,920 Speaker 11: The DMV says, it's going to take time to build 262 00:14:22,920 --> 00:14:26,440 Speaker 11: the digital infrastructure to support the technology of the future. 263 00:14:26,480 --> 00:14:28,600 Speaker 6: I'm more worried about getting into bars, but you know, 264 00:14:28,720 --> 00:14:31,720 Speaker 6: not waiting into lines is a good thing as well. Well, 265 00:14:31,760 --> 00:14:33,480 Speaker 6: you can always go down to MacArthur Park and just 266 00:14:33,480 --> 00:14:34,600 Speaker 6: get a fake ID, kiddo. 267 00:14:36,560 --> 00:14:38,800 Speaker 11: Now, the DMV stressed, you're still going to need that 268 00:14:38,920 --> 00:14:41,800 Speaker 11: hard copy of your license when driving because this is 269 00:14:41,840 --> 00:14:43,920 Speaker 11: not accepted by law enforcement. 270 00:14:44,160 --> 00:14:45,720 Speaker 1: Wait wait, wait, wait wait. 271 00:14:46,200 --> 00:14:51,120 Speaker 6: The State of California, in the CHP and our police agencies, 272 00:14:51,640 --> 00:14:52,720 Speaker 6: they don't accept it. 273 00:14:53,680 --> 00:14:56,760 Speaker 5: Both of them work for the State of California, the 274 00:14:56,880 --> 00:15:01,040 Speaker 5: DMV and the California Highway Patrol. How could you have 275 00:15:01,160 --> 00:15:04,880 Speaker 5: a legal document provided by one agency that is not 276 00:15:05,120 --> 00:15:06,200 Speaker 5: accepted by another. 277 00:15:07,000 --> 00:15:09,680 Speaker 6: The time where you need your license more than any 278 00:15:09,840 --> 00:15:12,600 Speaker 6: else is when you're getting pulled over by the POPO 279 00:15:13,200 --> 00:15:15,520 Speaker 6: and they don't accept the digital idea. 280 00:15:16,040 --> 00:15:17,680 Speaker 1: What is the point? 281 00:15:17,920 --> 00:15:20,640 Speaker 2: It's so stupid when. 282 00:15:20,440 --> 00:15:22,600 Speaker 11: It comes to the technology. They hope the more people 283 00:15:22,600 --> 00:15:25,960 Speaker 11: who opt in means more readily available. It will become 284 00:15:26,280 --> 00:15:29,000 Speaker 11: reporting in Van Eyes Hunter Soward's CBSLA. 285 00:15:30,080 --> 00:15:33,600 Speaker 6: So at this point, the only reason to have the 286 00:15:33,720 --> 00:15:36,920 Speaker 6: digital driver's license is if you want to look at 287 00:15:37,160 --> 00:15:40,280 Speaker 6: a very ugly photo of you from about ten years ago. 288 00:15:41,080 --> 00:15:45,080 Speaker 5: It's a novelty. It's something that you can show to 289 00:15:45,120 --> 00:15:46,520 Speaker 5: people and go, oh, look what I have. 290 00:15:47,040 --> 00:15:48,800 Speaker 2: Well, where could you use it? Well? Nowhere? 291 00:15:49,840 --> 00:15:54,520 Speaker 6: Okay, it's accepted at the airport, but everybody listening should 292 00:15:54,520 --> 00:16:00,400 Speaker 6: already have global entry. So what exactly is the point. 293 00:16:01,120 --> 00:16:02,960 Speaker 5: If you'd like to email the show, you can do 294 00:16:03,000 --> 00:16:05,760 Speaker 5: so at Johnny Don't Like Show at gmail dot com. 295 00:16:06,040 --> 00:16:10,920 Speaker 5: That's Johnny Don't Like Show at gmail dot com. And 296 00:16:10,960 --> 00:16:13,680 Speaker 5: not only could you listen to the show on the radio, 297 00:16:13,920 --> 00:16:16,560 Speaker 5: you can participate in the chat and you can click 298 00:16:16,600 --> 00:16:19,200 Speaker 5: that like button. And last time I checked, we had 299 00:16:19,240 --> 00:16:22,400 Speaker 5: one hundred and forty three likes, which is fantastic, but let's. 300 00:16:22,200 --> 00:16:23,120 Speaker 2: Get that number up. 301 00:16:23,840 --> 00:16:26,280 Speaker 6: Let's keep going. Every time you hit that thumbs up, 302 00:16:26,320 --> 00:16:28,160 Speaker 6: that like button. You can only do it once, but 303 00:16:28,200 --> 00:16:32,440 Speaker 6: there's plenty of people watching right now. It tells YouTube that, hey, 304 00:16:32,840 --> 00:16:36,440 Speaker 6: this show is popular, we should show it to more people. 305 00:16:36,640 --> 00:16:39,640 Speaker 6: And then, I don't know, benevably we make money off 306 00:16:39,640 --> 00:16:41,120 Speaker 6: of this. I don't know how it works. We just 307 00:16:41,160 --> 00:16:42,720 Speaker 6: want to promote our show. You know what we do 308 00:16:42,800 --> 00:16:46,120 Speaker 6: it for. I'll be totally honest. We get a nice 309 00:16:46,160 --> 00:16:49,280 Speaker 6: little dopamine drip every time we see those like buttons 310 00:16:49,360 --> 00:16:49,840 Speaker 6: go up. 311 00:16:52,400 --> 00:16:53,280 Speaker 2: And coming up. 312 00:16:53,440 --> 00:16:57,520 Speaker 5: Later on tonight, at midnight, the next episode of the 313 00:16:57,560 --> 00:17:02,000 Speaker 5: Accountability Podcast drops and it's a good one. We recorded 314 00:17:02,000 --> 00:17:06,080 Speaker 5: it yesterday morning and it's about Galvin Newsom and all 315 00:17:06,240 --> 00:17:09,560 Speaker 5: his corruption, accountability, accountability, accountability. 316 00:17:09,600 --> 00:17:13,199 Speaker 6: We get into the FBI investigation into the Newsoms, and 317 00:17:13,280 --> 00:17:17,600 Speaker 6: we get into Gavin Newsom's dirty diaper deal. Thanks to 318 00:17:17,600 --> 00:17:21,240 Speaker 6: our friend Julie Watts, you can go to the Accountability 319 00:17:21,280 --> 00:17:24,679 Speaker 6: Podcast on YouTube and subscribe so you can watch it 320 00:17:24,760 --> 00:17:27,600 Speaker 6: as soon as it comes out at YouTube dot com 321 00:17:27,640 --> 00:17:31,320 Speaker 6: slash at Accountability Podcast. I just put a link in 322 00:17:31,400 --> 00:17:34,439 Speaker 6: the chat. We are currently at I think thirteen hundred 323 00:17:34,520 --> 00:17:37,080 Speaker 6: and ninety subscribers. We're trying to get that up to 324 00:17:37,119 --> 00:17:40,280 Speaker 6: twenty five hundred and then we will give you for 325 00:17:40,400 --> 00:17:43,919 Speaker 6: free the John Phillips Show soundboard thirteen hundred and ninety 326 00:17:43,960 --> 00:17:47,879 Speaker 6: one subscribers. You can also listen to The Accountability Podcast 327 00:17:47,920 --> 00:17:50,200 Speaker 6: on Apple Podcasts or iHeartRadio. 328 00:17:50,880 --> 00:17:53,360 Speaker 5: I kind of felt like Nancy Grace during that episode, 329 00:17:53,359 --> 00:17:54,959 Speaker 5: and you were the Ashley Banfield. 330 00:17:57,200 --> 00:17:58,000 Speaker 2: It's a good one. 331 00:17:58,320 --> 00:18:01,880 Speaker 6: You'll have to check it out tomorrow, The Accountability Podcast. 332 00:18:02,480 --> 00:18:05,200 Speaker 6: Remember when Nancy Grace had a show on Court TV 333 00:18:05,320 --> 00:18:08,440 Speaker 6: before the hl N one, and she used to co 334 00:18:08,520 --> 00:18:11,800 Speaker 6: host it with Johnny cochrane. And back in those days, 335 00:18:11,840 --> 00:18:14,040 Speaker 6: she didn't have the short haircut. She had the long 336 00:18:14,080 --> 00:18:20,760 Speaker 6: hair that went down nor Keister, that's great, all right, 337 00:18:20,840 --> 00:18:22,720 Speaker 6: what do you say we make a couple of listeners 338 00:18:22,960 --> 00:18:26,359 Speaker 6: very happy? Well, let's do that right now. Seven ninety 339 00:18:26,520 --> 00:18:29,760 Speaker 6: KABC Welcomes Wait, let me make sure we're actually giving 340 00:18:29,760 --> 00:18:30,880 Speaker 6: this away today. 341 00:18:31,280 --> 00:18:31,880 Speaker 1: Yes, we are. 342 00:18:32,560 --> 00:18:37,600 Speaker 6: Seven ninety KABC Welcomes Revolution with special guests Skip Marley 343 00:18:37,840 --> 00:18:40,960 Speaker 6: at the Pacific Amphitheater at the OC Fair on Sunday, 344 00:18:41,000 --> 00:18:44,840 Speaker 6: August ninth, Tickets are on sale now at pacamp dot com. 345 00:18:44,880 --> 00:18:47,879 Speaker 6: But right now, calling number nine at one eight A 346 00:18:48,000 --> 00:18:51,000 Speaker 6: eight seven ninety five two two two gets a pair 347 00:18:51,000 --> 00:18:54,240 Speaker 6: of tickets to the show. All concert tickets included mission 348 00:18:54,320 --> 00:18:58,480 Speaker 6: to the OC Fair. Tickets furnished by the Pacific Amphitheater. 349 00:18:59,040 --> 00:18:59,880 Speaker 1: Good Luck. 350 00:19:00,400 --> 00:19:04,199 Speaker 6: Dialing listener Dave writes in Randy, are there taco bells 351 00:19:04,240 --> 00:19:04,920 Speaker 6: in Canada? 352 00:19:05,440 --> 00:19:05,640 Speaker 2: Yes? 353 00:19:05,720 --> 00:19:07,920 Speaker 1: There are, and people are nervous. 354 00:19:12,119 --> 00:19:14,600 Speaker 6: I'm sticking to the poutine. There's no way there's lettuce 355 00:19:14,640 --> 00:19:18,520 Speaker 6: in that. Well, here's what I don't understand. When people 356 00:19:18,600 --> 00:19:22,320 Speaker 6: travel the world. You go to a different country, you 357 00:19:22,359 --> 00:19:24,720 Speaker 6: go to a place where there's a different kind of cuisine. 358 00:19:25,600 --> 00:19:27,719 Speaker 6: You get there and you go, you know what sounds 359 00:19:27,760 --> 00:19:34,080 Speaker 6: real good right now? Taco bell I've never understood that. Now, 360 00:19:34,119 --> 00:19:35,160 Speaker 6: there are some people. 361 00:19:36,200 --> 00:19:38,399 Speaker 5: If you go to China and every plate is a 362 00:19:38,400 --> 00:19:42,160 Speaker 5: fear factor plate, then I understand it. But if you're 363 00:19:42,160 --> 00:19:44,600 Speaker 5: going to Canada, just enjoy the local cuisine. 364 00:19:45,200 --> 00:19:48,200 Speaker 6: Well, I think some people like to see what the 365 00:19:48,240 --> 00:19:51,280 Speaker 6: regional differences are. Like you go to Japan and the 366 00:19:51,320 --> 00:19:54,400 Speaker 6: pizza hut has all kinds of different things, the burger king, 367 00:19:54,480 --> 00:19:55,560 Speaker 6: the bun is black. 368 00:19:56,160 --> 00:19:57,959 Speaker 1: But I don't understand it. 369 00:19:58,040 --> 00:20:01,040 Speaker 6: That being said, when I was really drunk in Madrid 370 00:20:01,160 --> 00:20:03,760 Speaker 6: at four in the morning, I went to the McDonald's 371 00:20:03,800 --> 00:20:05,280 Speaker 6: on La gran Villa and I. 372 00:20:05,280 --> 00:20:08,080 Speaker 2: Regretted it instantly bought a bu buff Uh. 373 00:20:09,119 --> 00:20:11,720 Speaker 5: All right, we've got an hour and a half to 374 00:20:11,760 --> 00:20:14,200 Speaker 5: go right here on the John Phillips Show. It's the 375 00:20:14,320 --> 00:20:17,640 Speaker 5: John Phillips Show. Eight hundred two two two five two 376 00:20:17,680 --> 00:20:20,800 Speaker 5: two two. Is jelphone number one eight hundred two two 377 00:20:20,920 --> 00:20:25,840 Speaker 5: two five two two two. Well, for whatever reasons, people 378 00:20:26,119 --> 00:20:29,960 Speaker 5: all over the state and all over the country are 379 00:20:30,000 --> 00:20:33,199 Speaker 5: fighting data centers moving into their communities like it's some 380 00:20:33,320 --> 00:20:35,399 Speaker 5: kind of group home for sex offenders. 381 00:20:37,400 --> 00:20:40,920 Speaker 6: Data centers in the AI industry have become persona's non 382 00:20:40,960 --> 00:20:44,359 Speaker 6: grata in certain neighborhoods. We saw this in the June 383 00:20:44,400 --> 00:20:47,600 Speaker 6: primary where the city of Monterey Park in Los Angeles 384 00:20:47,600 --> 00:20:51,080 Speaker 6: County voted to outright ban them. And you have certain 385 00:20:51,119 --> 00:20:54,800 Speaker 6: communities we've talked about Gilroy, Garlic Town, apparently they. 386 00:20:54,680 --> 00:20:55,440 Speaker 1: Don't want them. 387 00:20:55,760 --> 00:20:59,520 Speaker 6: Well, now Pittsburgh, the California Pittsburgh with just the g 388 00:21:00,400 --> 00:21:04,200 Speaker 6: they don't want this in their neighborhood either. And I 389 00:21:04,320 --> 00:21:06,919 Speaker 6: don't really get it at this point. 390 00:21:08,119 --> 00:21:08,840 Speaker 2: I don't either. 391 00:21:10,240 --> 00:21:14,080 Speaker 6: For more on this, we got a KPIX in the. 392 00:21:14,000 --> 00:21:16,879 Speaker 3: Bay Welcome in on this Monday. We begin tonight with 393 00:21:16,920 --> 00:21:20,360 Speaker 3: the latest Bay Area community fighting to keep data centers 394 00:21:20,480 --> 00:21:24,119 Speaker 3: out of town. Protesters in Pittsburgh gathering right now to 395 00:21:24,160 --> 00:21:27,040 Speaker 3: make sure city leaders are hearing their message. 396 00:21:28,320 --> 00:21:31,639 Speaker 6: It is a room full of servers that's air conditioned. Like, 397 00:21:32,000 --> 00:21:35,560 Speaker 6: I know that people have fear about AI. Although I 398 00:21:35,640 --> 00:21:39,159 Speaker 6: like how you can generate silly images with it, I 399 00:21:39,200 --> 00:21:42,480 Speaker 6: don't understand what the opposition anymore to this is. 400 00:21:43,040 --> 00:21:45,480 Speaker 2: No, I don't get it at all. 401 00:21:45,720 --> 00:21:48,840 Speaker 5: They use a lot of water, well, okay, so do 402 00:21:48,920 --> 00:21:52,800 Speaker 5: the farmers in the Central Valley, so does raging waters. 403 00:21:53,359 --> 00:21:54,679 Speaker 2: What do you want me to do about it? 404 00:21:56,359 --> 00:21:56,600 Speaker 1: Well? 405 00:21:56,640 --> 00:21:58,960 Speaker 6: And not only that, a lot of the fears about 406 00:21:58,960 --> 00:22:01,560 Speaker 6: the water are unfair because a lot of these places 407 00:22:01,640 --> 00:22:03,560 Speaker 6: use reclaimed to recycled water. 408 00:22:03,640 --> 00:22:05,680 Speaker 1: The water isn't even potable. 409 00:22:08,320 --> 00:22:10,919 Speaker 3: That now right now in Pittsburgh, the council there is 410 00:22:10,960 --> 00:22:13,840 Speaker 3: scheduled to meet in just about half an hour. John 411 00:22:13,880 --> 00:22:15,480 Speaker 3: Rama spoke to protesters. 412 00:22:17,440 --> 00:22:19,679 Speaker 13: Opponents of the data center say the city pulled the 413 00:22:19,680 --> 00:22:22,720 Speaker 13: issue from the agenda in favor of a larger community 414 00:22:22,760 --> 00:22:25,280 Speaker 13: meeting ten days from now, but they say they're still 415 00:22:25,320 --> 00:22:29,160 Speaker 13: going to give the council an airful at their meeting tonight. 416 00:22:34,400 --> 00:22:37,200 Speaker 13: In twenty eighteen, the city of Pittsburgh closed down its 417 00:22:37,280 --> 00:22:40,159 Speaker 13: municipal golf course and later announced that it would be 418 00:22:40,200 --> 00:22:43,000 Speaker 13: the site of a new business and technology park. But 419 00:22:43,080 --> 00:22:45,800 Speaker 13: little did anyone know exactly what that was going to mean. 420 00:22:46,080 --> 00:22:51,720 Speaker 6: Well, a server farm would be business and technology. 421 00:22:53,160 --> 00:22:55,920 Speaker 5: I think part of this is that people are afraid 422 00:22:55,960 --> 00:22:59,320 Speaker 5: of AI, and they think that if they stopped the 423 00:22:59,440 --> 00:23:02,800 Speaker 5: data center from coming to their communities, that they can 424 00:23:02,840 --> 00:23:07,480 Speaker 5: stop AI from happening. But that horse has already left 425 00:23:07,480 --> 00:23:12,160 Speaker 5: the stable. AI is here and it's not going away 426 00:23:12,240 --> 00:23:13,080 Speaker 5: anytime soon. 427 00:23:14,200 --> 00:23:17,080 Speaker 6: Listener d D Proud, I love these usernames, says too 428 00:23:17,080 --> 00:23:20,000 Speaker 6: many people have watched the Terminator in nineteen eighty four 429 00:23:20,040 --> 00:23:23,680 Speaker 6: movies to make them nervous. Listener Katie says it also 430 00:23:23,800 --> 00:23:26,080 Speaker 6: uses a lot of power, which can raise rates, But 431 00:23:26,440 --> 00:23:30,320 Speaker 6: I think that's just the utilities using the data centers 432 00:23:30,320 --> 00:23:33,240 Speaker 6: as an excuse to raise their rates. Because PG and 433 00:23:33,280 --> 00:23:35,760 Speaker 6: E got their rates raised six times in the span 434 00:23:35,840 --> 00:23:36,320 Speaker 6: of a year. 435 00:23:37,720 --> 00:23:39,960 Speaker 9: I thought I knew what a business park was, and 436 00:23:40,000 --> 00:23:42,080 Speaker 9: I thought I knew what a technology park was, but 437 00:23:42,119 --> 00:23:45,560 Speaker 9: apparently I didn't. And when I looked at the pictures, 438 00:23:45,600 --> 00:23:47,720 Speaker 9: when I heard hyper scale and all of these things 439 00:23:47,720 --> 00:23:50,200 Speaker 9: starting to trend on next door, I looked it up. 440 00:23:50,520 --> 00:23:53,439 Speaker 6: And by the way, data centers don't just power AI, 441 00:23:53,880 --> 00:23:57,920 Speaker 6: they also power web servers for things like Amazon and 442 00:23:58,080 --> 00:24:02,000 Speaker 6: cloud computing. Cloud can computing is actually how we're bringing 443 00:24:02,040 --> 00:24:05,840 Speaker 6: this video stream to you right now. I upload my 444 00:24:06,040 --> 00:24:09,080 Speaker 6: stream and Johns stream to a big, old, fancy cloud 445 00:24:09,160 --> 00:24:11,720 Speaker 6: in a data center, and it pushes it out to 446 00:24:11,840 --> 00:24:14,639 Speaker 6: YouTube and Facebook and Twitter. I couldn't do all of 447 00:24:14,680 --> 00:24:16,719 Speaker 6: this without data centers. 448 00:24:17,080 --> 00:24:18,000 Speaker 2: Here's the other thing. 449 00:24:19,040 --> 00:24:22,760 Speaker 5: The industry that makes the state of California function right 450 00:24:22,800 --> 00:24:27,040 Speaker 5: now is big tech. If it weren't for big tech, 451 00:24:27,160 --> 00:24:30,159 Speaker 5: we could not pay our bills. If it weren't for 452 00:24:30,240 --> 00:24:33,879 Speaker 5: big tech, we wouldn't have a lot of high paying jobs. 453 00:24:33,920 --> 00:24:38,120 Speaker 5: We wouldn't have an industry that is running the state's economy, 454 00:24:38,560 --> 00:24:44,080 Speaker 5: running the country's economy, and running the global economy. If 455 00:24:44,119 --> 00:24:47,520 Speaker 5: we are openly hostile to the industry that allows us 456 00:24:47,560 --> 00:24:50,800 Speaker 5: to exist, we could push them out of state. We've 457 00:24:50,840 --> 00:24:54,280 Speaker 5: already seen that happen with some of those companies. If 458 00:24:54,320 --> 00:24:58,879 Speaker 5: we don't allow data centers to be built in California. 459 00:24:58,920 --> 00:25:01,480 Speaker 5: What do you think is going to happen to the remainders? 460 00:25:03,280 --> 00:25:06,639 Speaker 6: Listener Jake writes in on YouTube, I think China is 461 00:25:06,680 --> 00:25:10,119 Speaker 6: pushing these ideas on social media platforms to slow or 462 00:25:10,200 --> 00:25:12,200 Speaker 6: stop USA developing AI. 463 00:25:12,320 --> 00:25:15,920 Speaker 1: There's an interesting theory, and I. 464 00:25:15,880 --> 00:25:18,480 Speaker 9: Said, this does not belong in a residential neighborhood. 465 00:25:18,760 --> 00:25:21,480 Speaker 13: The proposal is for a company called a Biodigital to 466 00:25:21,560 --> 00:25:24,840 Speaker 13: build a massive data center on the open land. Their 467 00:25:24,880 --> 00:25:29,400 Speaker 13: website displays glowing quotes from Pittsburgh's mayor and economic development director. 468 00:25:29,760 --> 00:25:32,000 Speaker 13: But a lot of people in the community feel differently, 469 00:25:32,200 --> 00:25:35,120 Speaker 13: as evidenced by a RUCKUS Council meeting in June. 470 00:25:35,320 --> 00:25:37,960 Speaker 2: I feel like this will not bring any long term 471 00:25:37,960 --> 00:25:39,720 Speaker 2: benefits to a specific residents. 472 00:25:39,800 --> 00:25:43,399 Speaker 6: What about the jobs that it creates from having the construction, 473 00:25:43,640 --> 00:25:46,640 Speaker 6: the people that have to maintain the thing. Somebody's got 474 00:25:46,640 --> 00:25:50,199 Speaker 6: to obviously build the giant air conditioner that there's a 475 00:25:50,320 --> 00:25:53,520 Speaker 6: lot of. And right now this is vacant, unused land. 476 00:25:53,520 --> 00:25:55,880 Speaker 6: It's a closed down golf course. What do you want 477 00:25:55,920 --> 00:25:59,560 Speaker 6: to have there? I do not understand this battle at all. 478 00:26:01,720 --> 00:26:04,040 Speaker 12: We have the ability to clear the chambers if we 479 00:26:04,080 --> 00:26:05,240 Speaker 12: continue to be disruptive. 480 00:26:05,240 --> 00:26:08,880 Speaker 10: We want to hear everybody, and we're trying our best, and. 481 00:26:08,840 --> 00:26:12,600 Speaker 12: As you can see by the turnout today, nobody hears 482 00:26:12,640 --> 00:26:13,920 Speaker 12: happy about the status. 483 00:26:15,040 --> 00:26:19,760 Speaker 5: What why is she crying? And why did she kill 484 00:26:19,760 --> 00:26:21,399 Speaker 5: a peacock to make her ear rings? 485 00:26:23,720 --> 00:26:27,560 Speaker 6: Okay, I understand that some people have concerns, maybe they 486 00:26:27,600 --> 00:26:31,480 Speaker 6: don't like big tech, but somebody is drinking the kool 487 00:26:31,480 --> 00:26:34,800 Speaker 6: aid if they are straight up breaking down in tears 488 00:26:35,280 --> 00:26:39,840 Speaker 6: over the construction of a data center in California. 489 00:26:40,480 --> 00:26:43,960 Speaker 1: Look at this woman again, what the hell? 490 00:26:44,200 --> 00:26:47,000 Speaker 12: And we're trying our best, and as you can see 491 00:26:47,119 --> 00:26:51,320 Speaker 12: by the turnout today, nobody hears happy about the status. 492 00:26:53,160 --> 00:26:54,840 Speaker 1: Fourth, the guy in row one needs a bra. 493 00:26:58,440 --> 00:27:01,720 Speaker 13: One hundred people attended them to express their disapproval. 494 00:27:02,160 --> 00:27:04,240 Speaker 1: We've never had this kind of response. 495 00:27:04,320 --> 00:27:09,119 Speaker 5: This is a very unified, very articulate, very passionate group 496 00:27:09,160 --> 00:27:09,679 Speaker 5: of people. 497 00:27:09,880 --> 00:27:12,280 Speaker 9: The response of our community shows that this that they 498 00:27:12,320 --> 00:27:14,840 Speaker 9: dropped the ball on this. You don't get a response 499 00:27:14,920 --> 00:27:16,280 Speaker 9: like this when you effectively come they. 500 00:27:16,240 --> 00:27:16,800 Speaker 1: Dropped the ball. 501 00:27:16,840 --> 00:27:19,360 Speaker 6: What they approved this and until you heard the term 502 00:27:19,440 --> 00:27:22,840 Speaker 6: data center because this project was approved six years ago, 503 00:27:23,600 --> 00:27:25,919 Speaker 6: what exactly is going on here? By the way, I 504 00:27:25,920 --> 00:27:28,960 Speaker 6: love this comment from Alejandro, I love when people rage 505 00:27:28,960 --> 00:27:31,960 Speaker 6: against data centers while streaming four K videos and backing 506 00:27:32,040 --> 00:27:34,040 Speaker 6: up twenty thousand selfies. 507 00:27:37,440 --> 00:27:40,920 Speaker 9: Communicate, So this shows that something was done wrong. 508 00:27:41,240 --> 00:27:43,760 Speaker 13: The company says the planned data center would be mostly 509 00:27:43,840 --> 00:27:47,200 Speaker 13: air cooled and would be using recycled water in its operation, 510 00:27:47,760 --> 00:27:50,760 Speaker 13: but the residents banding together against it say the lack 511 00:27:50,800 --> 00:27:54,840 Speaker 13: of transparency has instilled a general sense of fear about 512 00:27:54,880 --> 00:27:55,720 Speaker 13: the whole project. 513 00:27:55,960 --> 00:27:59,120 Speaker 15: I understand why, because it's kind of unknown to them. 514 00:27:59,160 --> 00:28:01,639 Speaker 15: They read what's on the outside, you know, different towns, 515 00:28:01,720 --> 00:28:02,440 Speaker 15: different cities. 516 00:28:02,960 --> 00:28:03,600 Speaker 2: They see how. 517 00:28:03,480 --> 00:28:07,000 Speaker 15: It's impacted wildlife, water, electricity, other things like that. 518 00:28:07,200 --> 00:28:12,440 Speaker 6: Wildlife. At what point are they just making things up? 519 00:28:14,119 --> 00:28:16,560 Speaker 6: It's just become this is the villain of the week. 520 00:28:16,720 --> 00:28:20,199 Speaker 6: It doesn't really make any sense. It's a faceless boogeyman 521 00:28:20,880 --> 00:28:23,480 Speaker 6: that we have had server farms up and down the 522 00:28:23,520 --> 00:28:27,119 Speaker 6: state of California for decades and decades and decades. 523 00:28:27,440 --> 00:28:29,400 Speaker 1: This isn't anything new. 524 00:28:29,600 --> 00:28:31,560 Speaker 2: And what does it have to do with the dolphins. 525 00:28:32,359 --> 00:28:38,280 Speaker 15: M It's an unknown and I understand why everybody is 526 00:28:38,280 --> 00:28:39,320 Speaker 15: speaking up at this time. 527 00:28:39,520 --> 00:28:42,400 Speaker 13: But the real concern is where it's being located, right 528 00:28:42,520 --> 00:28:46,440 Speaker 13: next to a residential development. Carmen mcgollan lives across the 529 00:28:46,480 --> 00:28:48,000 Speaker 13: street from where the huge new facility. 530 00:28:48,080 --> 00:28:49,200 Speaker 2: What is she talking about? 531 00:28:49,800 --> 00:28:53,280 Speaker 5: That's the best neighbor she could possibly have, because if 532 00:28:53,320 --> 00:28:55,680 Speaker 5: a data center goes up, that means they can't put 533 00:28:55,680 --> 00:28:58,680 Speaker 5: any low income housing there. That means they can't put 534 00:28:58,760 --> 00:29:01,840 Speaker 5: up any group homes there. That means they can't put. 535 00:29:01,760 --> 00:29:02,280 Speaker 2: Up a. 536 00:29:04,720 --> 00:29:08,360 Speaker 5: Company that does services for the homeless. You block out 537 00:29:08,480 --> 00:29:10,880 Speaker 5: all of the stuff that you don't want, and you 538 00:29:10,960 --> 00:29:13,720 Speaker 5: have a building there that's filled with machines and it's 539 00:29:13,720 --> 00:29:15,320 Speaker 5: not going to cause any problems. 540 00:29:16,200 --> 00:29:19,440 Speaker 6: Listener Jay writes in maybe they're worried that they'll end 541 00:29:19,520 --> 00:29:24,680 Speaker 6: up with rotten pigs feet like in Boyle Heights. That's 542 00:29:24,680 --> 00:29:26,760 Speaker 6: what you're not gonna get from a data center. 543 00:29:27,720 --> 00:29:30,080 Speaker 13: She says, it's changed the way she feels about the 544 00:29:30,080 --> 00:29:32,200 Speaker 13: neighborhood she's lived in for thirty years. 545 00:29:32,640 --> 00:29:36,200 Speaker 9: Horrible, horrible, I gosh, should we move you? 546 00:29:36,880 --> 00:29:36,960 Speaker 7: So? 547 00:29:37,040 --> 00:29:40,120 Speaker 6: Would you rather live next to the vacant golf course? 548 00:29:44,480 --> 00:29:45,320 Speaker 7: Considering moving? 549 00:29:45,640 --> 00:29:46,640 Speaker 14: This is a neighborhood. 550 00:29:46,640 --> 00:29:49,560 Speaker 9: It's there's so many homes around here. How can you 551 00:29:49,640 --> 00:29:51,200 Speaker 9: just blop it right down there? 552 00:29:51,680 --> 00:29:54,280 Speaker 13: The residents may be protesting it now, But the project 553 00:29:54,320 --> 00:29:56,640 Speaker 13: actually got final approval two years ago. 554 00:29:57,040 --> 00:30:02,240 Speaker 5: But that's just fake Johnny, what does he say? 555 00:30:02,680 --> 00:30:04,880 Speaker 6: Says, ask me about the data center? 556 00:30:08,440 --> 00:30:11,600 Speaker 13: Protesting it now? But the project actually got final approval 557 00:30:11,640 --> 00:30:14,920 Speaker 13: two years ago. But that's just phase one. There are 558 00:30:14,920 --> 00:30:18,080 Speaker 13: two other phases planned that the company's website says could 559 00:30:18,200 --> 00:30:21,840 Speaker 13: ultimately boost the facility's power up to a whopping five 560 00:30:22,040 --> 00:30:26,080 Speaker 13: hundred megawatts. So the community is digging in for a fight. 561 00:30:26,760 --> 00:30:29,640 Speaker 13: I think they've been reminded, and we're hopefully going to 562 00:30:29,680 --> 00:30:31,320 Speaker 13: remind them again tonight. 563 00:30:31,080 --> 00:30:33,640 Speaker 2: That they work for us. 564 00:30:33,760 --> 00:30:36,600 Speaker 5: I mean, we voted for them to represent our best interest, 565 00:30:36,920 --> 00:30:38,600 Speaker 5: and they clearly have not. 566 00:30:39,120 --> 00:30:42,080 Speaker 6: So would you rather they don't collect the property taxes 567 00:30:42,320 --> 00:30:45,960 Speaker 6: from the data center and they just raise your property taxes? 568 00:30:47,560 --> 00:30:53,320 Speaker 5: I just I don't understand the hesitancy to live next 569 00:30:53,320 --> 00:30:55,719 Speaker 5: to one of those things. I would have no problem, 570 00:30:55,720 --> 00:30:59,200 Speaker 5: but all living next to one of those things no problem. 571 00:31:00,400 --> 00:31:02,600 Speaker 5: If you ever listen to the guys on the all 572 00:31:02,640 --> 00:31:06,640 Speaker 5: in podcasts, the tech bro CEOs, they actually have this 573 00:31:06,760 --> 00:31:10,880 Speaker 5: idea where at some point, the AI companies, the clouds, 574 00:31:11,320 --> 00:31:14,080 Speaker 5: streaming companies, they're actually going to go and knock on 575 00:31:14,120 --> 00:31:17,040 Speaker 5: the doors of single family homes and say, hey, how 576 00:31:17,080 --> 00:31:20,640 Speaker 5: about we give you free solar if we can store 577 00:31:20,680 --> 00:31:22,800 Speaker 5: a couple of servers in your garage and I would 578 00:31:22,800 --> 00:31:25,080 Speaker 5: sign up for that immediately me too. 579 00:31:26,640 --> 00:31:30,520 Speaker 3: A community engagement workshop has been scheduled for July thirtieth 580 00:31:30,640 --> 00:31:33,160 Speaker 3: over Zoom, the city and company behind the. 581 00:31:33,080 --> 00:31:34,840 Speaker 6: Project, and you know how that's going to be powered 582 00:31:35,240 --> 00:31:37,240 Speaker 6: cloud computing from a data center. 583 00:31:39,680 --> 00:31:42,320 Speaker 3: Jack did not provide a comment to us today, but 584 00:31:42,440 --> 00:31:44,560 Speaker 3: on its website, the City of Pittsburgh says, well, the 585 00:31:44,600 --> 00:31:47,880 Speaker 3: project has all the approvals needed from the city and state. 586 00:31:48,320 --> 00:31:51,760 Speaker 3: Future phases will require additional approvals, so this is not 587 00:31:51,920 --> 00:31:52,600 Speaker 3: a done deal. 588 00:31:53,600 --> 00:31:54,520 Speaker 1: So there you go. 589 00:31:54,760 --> 00:31:59,600 Speaker 6: The big fight over in Pittsburgh over data centers. What 590 00:31:59,640 --> 00:32:03,320 Speaker 6: they're actually afraid of? Nobody knows. 591 00:32:04,200 --> 00:32:08,040 Speaker 5: So in the chat section, listener Stephen Ruth nine one 592 00:32:08,120 --> 00:32:12,240 Speaker 5: two five says per AI data centers emit a low 593 00:32:12,320 --> 00:32:14,040 Speaker 5: hum sound for up to two miles. 594 00:32:14,160 --> 00:32:14,800 Speaker 2: Is that true? 595 00:32:15,600 --> 00:32:18,000 Speaker 6: Ah, well, if you got it from AI, it might 596 00:32:18,080 --> 00:32:20,440 Speaker 6: be true. It might not be true. But we have 597 00:32:20,560 --> 00:32:25,040 Speaker 6: these kinds of server farms everywhere. That's the uh never 598 00:32:25,120 --> 00:32:27,920 Speaker 6: heard something like that. Maybe what they're talking about is 599 00:32:27,960 --> 00:32:30,080 Speaker 6: a big old air conditioner, but that would be true 600 00:32:30,080 --> 00:32:34,840 Speaker 6: with anything, And I guess if there's a low hum 601 00:32:35,440 --> 00:32:42,320 Speaker 6: that'll drown out the sirens. If anybody out there is 602 00:32:42,400 --> 00:32:45,000 Speaker 6: actually freaked out about this stuff, send us an email, 603 00:32:45,040 --> 00:32:48,720 Speaker 6: write a comment in the chat. I just don't understand, 604 00:32:49,040 --> 00:32:52,920 Speaker 6: outside of everyone scared to death of AI taking her jabs, 605 00:32:52,960 --> 00:32:54,240 Speaker 6: what this is really about. 606 00:32:54,840 --> 00:32:58,760 Speaker 5: But even that, and I understand why people are worried. 607 00:32:58,840 --> 00:33:02,200 Speaker 5: If you have a job that could potentially be replaced 608 00:33:02,200 --> 00:33:08,920 Speaker 5: by AI, yeah, I can understand some concern. But what 609 00:33:09,000 --> 00:33:11,800 Speaker 5: you do realize is AI is going to make life 610 00:33:11,840 --> 00:33:15,040 Speaker 5: so much better in so many different ways that the 611 00:33:15,200 --> 00:33:19,280 Speaker 5: jobs that it's going to replace in many cases are 612 00:33:19,320 --> 00:33:22,400 Speaker 5: totally worth it. Like, for example, one of the things 613 00:33:22,520 --> 00:33:26,959 Speaker 5: that AI is going to do, according to Elon, is 614 00:33:27,320 --> 00:33:30,720 Speaker 5: it's going to eliminate blindness. If you are blind, you 615 00:33:30,800 --> 00:33:34,480 Speaker 5: cannot see, AI will make it so that the blind 616 00:33:34,560 --> 00:33:38,840 Speaker 5: can see again. And then you go, Okay, that's wonderful 617 00:33:39,400 --> 00:33:41,720 Speaker 5: blind people who can't see anything right now. 618 00:33:41,920 --> 00:33:43,280 Speaker 2: Soon we'll be able to see. 619 00:33:43,080 --> 00:33:47,200 Speaker 5: Everything that we can see as well, And I think 620 00:33:47,240 --> 00:33:52,280 Speaker 5: that is a wonderful breakthrough and human achievement. But then 621 00:33:52,320 --> 00:33:55,160 Speaker 5: you go, okay, well, the people that run the Braille 622 00:33:55,240 --> 00:33:57,080 Speaker 5: Institute are all going to be out of a job. 623 00:33:57,560 --> 00:33:59,640 Speaker 5: All the schools for the blind are going to have 624 00:33:59,680 --> 00:34:02,560 Speaker 5: to show down, all the people to train the seeing 625 00:34:02,600 --> 00:34:05,400 Speaker 5: eye dogs, that's going to go away. All of the 626 00:34:05,480 --> 00:34:09,240 Speaker 5: printing houses that print books and braille, they're gonna go under. 627 00:34:09,880 --> 00:34:13,759 Speaker 5: And you could run down the list and identify any 628 00:34:13,840 --> 00:34:16,480 Speaker 5: number of jobs that are going to go away if 629 00:34:16,520 --> 00:34:19,960 Speaker 5: there's no more blind people, if blind people don't need 630 00:34:20,000 --> 00:34:24,240 Speaker 5: those things anymore because they can see, And you go, okay, well, 631 00:34:24,880 --> 00:34:27,839 Speaker 5: are we not going to allow blind people to see 632 00:34:27,880 --> 00:34:29,960 Speaker 5: again because we want to save those jobs. 633 00:34:30,960 --> 00:34:31,600 Speaker 2: That's dumb. 634 00:34:33,239 --> 00:34:36,520 Speaker 6: Listener Chet writes in, you guys are sounding more like democrats. 635 00:34:36,560 --> 00:34:41,480 Speaker 6: Why would you want more surveillance? Well, what surveillance? They're 636 00:34:41,560 --> 00:34:42,560 Speaker 6: server farms. 637 00:34:42,760 --> 00:34:44,080 Speaker 2: Yeah, they're not surveilling you. 638 00:34:46,160 --> 00:34:49,560 Speaker 6: We're already surveiling ourselves twenty four to seven with our 639 00:34:49,600 --> 00:34:52,920 Speaker 6: smartphones that are listening to everything that we're saying. 640 00:34:54,560 --> 00:34:56,160 Speaker 5: If you want to weigh in on this, I'd love 641 00:34:56,200 --> 00:34:58,600 Speaker 5: to hear from you. At eight hundred two two two 642 00:34:58,760 --> 00:35:02,240 Speaker 5: five two two two one eight hundred two two two 643 00:35:02,239 --> 00:35:05,880 Speaker 5: five two two two. If you're watching us live on YouTube, 644 00:35:05,920 --> 00:35:08,800 Speaker 5: make sure you hit that like button that helps push 645 00:35:08,840 --> 00:35:11,800 Speaker 5: the show out in front of as many eyeballs as possible. 646 00:35:12,200 --> 00:35:12,640 Speaker 2: Look at this. 647 00:35:12,680 --> 00:35:15,480 Speaker 6: We have a comment on x at negative liberty rights. 648 00:35:15,480 --> 00:35:18,160 Speaker 6: And in Santa Clara, I live to next to dozens 649 00:35:18,200 --> 00:35:20,920 Speaker 6: of data centers with no issue, and we don't have 650 00:35:21,040 --> 00:35:21,640 Speaker 6: PG and E. 651 00:35:21,840 --> 00:35:22,840 Speaker 1: Well, lucky you. 652 00:35:25,640 --> 00:35:34,239 Speaker 5: Let's go to John in the East Bay. John, Hello, John, 653 00:35:34,239 --> 00:35:38,560 Speaker 5: go bye bye. All right, let's try Ray and livermore. 654 00:35:38,960 --> 00:35:44,040 Speaker 14: Ray welcome, Hey John, Hey, Randy. It's clear what they 655 00:35:44,080 --> 00:35:47,600 Speaker 14: have here is a branding problem. But let me quickly 656 00:35:47,640 --> 00:35:51,320 Speaker 14: add addition to Terminator nineteen eighty four, there's two thousand 657 00:35:51,360 --> 00:35:54,439 Speaker 14: and one. It has an AI problem. West World, which 658 00:35:54,480 --> 00:35:56,200 Speaker 14: scared the crap out of me when I was a kid, 659 00:35:56,840 --> 00:35:59,839 Speaker 14: I Robot and the new Fahrenheit four fifty one all 660 00:36:00,120 --> 00:36:04,040 Speaker 14: have big time AI warnings in them. But that said, 661 00:36:05,320 --> 00:36:09,840 Speaker 14: they clearly didn't focus test this group, focused tests the 662 00:36:10,640 --> 00:36:13,520 Speaker 14: branding of this product. If they had called it gender 663 00:36:13,600 --> 00:36:17,799 Speaker 14: affirmation centers, I think they would just flip right under 664 00:36:17,800 --> 00:36:18,240 Speaker 14: the radar. 665 00:36:20,480 --> 00:36:22,600 Speaker 6: I wonder how many people are out there that really 666 00:36:22,640 --> 00:36:24,840 Speaker 6: think that all this technology is going to lead to 667 00:36:24,880 --> 00:36:27,520 Speaker 6: a robotic Yule Brenner coming after us with a gun. 668 00:36:30,280 --> 00:36:32,160 Speaker 14: It can happen, Randy, it can happen. 669 00:36:32,640 --> 00:36:36,200 Speaker 6: Fantastic movie by the way, and also perfectly parodied on 670 00:36:36,239 --> 00:36:36,920 Speaker 6: The Simpsons. 671 00:36:39,440 --> 00:36:42,720 Speaker 14: Yes, I'm telling you that was AI. That's in the seventies. 672 00:36:42,760 --> 00:36:44,919 Speaker 14: They're warning us about AI. I have a friend who's 673 00:36:44,920 --> 00:36:47,000 Speaker 14: one of the smartest guys I know. He says, they 674 00:36:47,080 --> 00:36:50,920 Speaker 14: used Hollywood to gently warn us about the future, the 675 00:36:50,960 --> 00:36:54,760 Speaker 14: impending future that we have. So take that for whatever 676 00:36:54,800 --> 00:36:55,200 Speaker 14: it's worth. 677 00:36:56,760 --> 00:36:57,880 Speaker 2: Well, thank you for the call. 678 00:36:57,960 --> 00:37:01,920 Speaker 5: And I've got to say that AI is like any 679 00:37:02,560 --> 00:37:06,200 Speaker 5: number of tools that we have. It's like the Internet, 680 00:37:06,480 --> 00:37:13,000 Speaker 5: or it's like airplanes or whatever. If it falls into 681 00:37:13,040 --> 00:37:16,560 Speaker 5: the wrong hands, and if it falls into the hands of. 682 00:37:16,520 --> 00:37:18,919 Speaker 2: A bad actor, it can be a bad thing. 683 00:37:19,960 --> 00:37:25,320 Speaker 5: But if used correctly, it could improve lives like nobody's business. 684 00:37:26,000 --> 00:37:28,880 Speaker 5: As I mentioned before, I do believe that AI is 685 00:37:28,920 --> 00:37:32,600 Speaker 5: going to result or is going to provide the opportunity 686 00:37:32,719 --> 00:37:35,640 Speaker 5: for blind people to see again, for deaf people to 687 00:37:35,760 --> 00:37:39,360 Speaker 5: hear again, for quadripolgics to have use of their limbs again. 688 00:37:40,280 --> 00:37:42,759 Speaker 5: And I just don't see how you can look at 689 00:37:42,760 --> 00:37:45,759 Speaker 5: something like that and go, Okay, well, those things are 690 00:37:45,800 --> 00:37:50,239 Speaker 5: going to eliminate jobs, so it's bad. Now people who 691 00:37:50,280 --> 00:37:54,000 Speaker 5: work in those industries can go do something else. And 692 00:37:54,360 --> 00:37:55,920 Speaker 5: I wouldn't want to be the one to tell a 693 00:37:55,960 --> 00:37:59,520 Speaker 5: blind person, look, we're going to keep you blind even 694 00:37:59,560 --> 00:38:02,240 Speaker 5: though we could give you the ability to see, because 695 00:38:02,239 --> 00:38:04,040 Speaker 5: we don't want those jobs to go away. 696 00:38:04,120 --> 00:38:06,919 Speaker 6: That makes no sense at all, to quote the great 697 00:38:07,000 --> 00:38:09,480 Speaker 6: Chris Rock. Can't we give Stevie a peak? 698 00:38:20,520 --> 00:38:22,640 Speaker 5: I think people are terrified, though, and I think those 699 00:38:22,719 --> 00:38:26,200 Speaker 5: movies are part of the reason why. I think because 700 00:38:26,520 --> 00:38:29,320 Speaker 5: there are so many movies out there about the robots 701 00:38:29,400 --> 00:38:33,040 Speaker 5: killing us, people think that that's gonna happen, and who knows, 702 00:38:33,080 --> 00:38:35,440 Speaker 5: maybe they're right, maybe I'm wrong. I don't know. I 703 00:38:35,560 --> 00:38:37,600 Speaker 5: just don't see that happening. I don't see that as 704 00:38:37,600 --> 00:38:38,880 Speaker 5: the likeliest outcome. 705 00:38:39,440 --> 00:38:43,120 Speaker 6: It's called science fiction. People forget about the fiction part 706 00:38:43,120 --> 00:38:46,160 Speaker 6: of it. The Jetsons have been promting seeing us a 707 00:38:46,200 --> 00:38:48,960 Speaker 6: car that turns into a suitcase that you can fly 708 00:38:49,120 --> 00:38:52,120 Speaker 6: in for the past seventy years and we still don't 709 00:38:52,160 --> 00:38:52,520 Speaker 6: have it. 710 00:38:53,160 --> 00:38:54,160 Speaker 2: And just think about this. 711 00:38:54,400 --> 00:38:57,160 Speaker 5: If everyone out there had their own Rosie the Maid, 712 00:38:58,120 --> 00:39:00,320 Speaker 5: none of us would be living in pigsty. 713 00:39:01,360 --> 00:39:04,760 Speaker 6: Listener Ed writes in John is an Ai, Only Randy 714 00:39:04,840 --> 00:39:11,480 Speaker 6: is real. If that were true, if that were a possibility, 715 00:39:11,560 --> 00:39:14,800 Speaker 6: if we could actually plug every episode of the show 716 00:39:14,840 --> 00:39:17,520 Speaker 6: into an AI and create a version of John that 717 00:39:17,560 --> 00:39:20,120 Speaker 6: can rant for three hours. You would be on a 718 00:39:20,120 --> 00:39:22,040 Speaker 6: cruise ship full time, my friend. 719 00:39:22,080 --> 00:39:25,840 Speaker 5: Oh oh, I'd be at that Bacca rot table like 720 00:39:25,960 --> 00:39:36,040 Speaker 5: you wouldn't believe. All right, we've got one more hour 721 00:39:36,120 --> 00:39:39,880 Speaker 5: coming up on the John Phillips Show. Robbie Suave joins us. Next, 722 00:39:40,040 --> 00:39:41,080 Speaker 5: don't you go Anywhere.