1 00:00:00,040 --> 00:00:02,400 Speaker 1: Well, who hasn't spent some time over the holidays Following 2 00:00:02,440 --> 00:00:05,080 Speaker 1: the headline that is the new first Buddy Elon Musky 3 00:00:05,120 --> 00:00:07,000 Speaker 1: as an office in the West Wing seemingly has the 4 00:00:07,040 --> 00:00:09,480 Speaker 1: President's here. Dinnis Neil knows him very well. He's a 5 00:00:09,480 --> 00:00:12,840 Speaker 1: former host at CNBC and Fox Business. His new book 6 00:00:12,920 --> 00:00:16,160 Speaker 1: is called The Leadership Genius of Elon Musk, and Dennis 7 00:00:16,200 --> 00:00:17,279 Speaker 1: Needles with us from New York. 8 00:00:17,280 --> 00:00:18,880 Speaker 2: Good morning, It's great to see you. 9 00:00:19,320 --> 00:00:21,919 Speaker 1: So you are, you know, an expert on Elon. We 10 00:00:21,960 --> 00:00:25,720 Speaker 1: can't talk about Elon without talking about Donald just generally. 11 00:00:25,960 --> 00:00:27,639 Speaker 1: What have you made of the last week or so? 12 00:00:28,240 --> 00:00:32,479 Speaker 3: Oh my gosh, it is unbelievable. You know, a founding belief. 13 00:00:32,720 --> 00:00:37,440 Speaker 3: My new book, The Leadership Genius Elon Musk, offers eleven lessons. 14 00:00:36,840 --> 00:00:39,239 Speaker 2: Of Elon, like how does he succeed? How does he live? 15 00:00:39,280 --> 00:00:40,360 Speaker 2: And what can we borrow from that? 16 00:00:40,760 --> 00:00:42,960 Speaker 3: Well, the one founding belief of Elon's is that we 17 00:00:43,200 --> 00:00:47,159 Speaker 3: very well be made, maybe living inside a huge computer 18 00:00:47,240 --> 00:00:50,880 Speaker 3: simulation operated by somebody somewhere far off in the future. Now, 19 00:00:51,080 --> 00:00:53,440 Speaker 3: this frees him up to take huge risk to do 20 00:00:53,520 --> 00:00:56,160 Speaker 3: things no one else will do, right, But it also 21 00:00:56,280 --> 00:00:58,120 Speaker 3: means that who's ever running that simulation. 22 00:00:58,720 --> 00:01:01,040 Speaker 2: They wouldn't run it for boring us. They run it 23 00:01:01,040 --> 00:01:04,400 Speaker 2: for the most entertaining unexpected outcomes. And can you believe 24 00:01:04,640 --> 00:01:08,800 Speaker 2: the past week is definitely the most unexpected outcome of 25 00:01:08,880 --> 00:01:11,520 Speaker 2: all Trump all those people trying to stop him from 26 00:01:11,560 --> 00:01:12,560 Speaker 2: getting into office. 27 00:01:12,680 --> 00:01:15,880 Speaker 3: Elon coming alongside Trump and helping him get into office 28 00:01:16,040 --> 00:01:19,400 Speaker 3: the very opposite outcome of what was expected or what 29 00:01:19,440 --> 00:01:22,080 Speaker 3: people tried to make happen. And that's another lesson of 30 00:01:22,120 --> 00:01:25,319 Speaker 3: Elon that the most likely outcome often is the most 31 00:01:25,400 --> 00:01:28,320 Speaker 3: ironic one, the most opposite of what was expected. And 32 00:01:28,360 --> 00:01:31,959 Speaker 3: that's in part because if this is a simulation, they'd want. 33 00:01:31,840 --> 00:01:32,960 Speaker 2: It to be really entertaining. 34 00:01:33,080 --> 00:01:35,280 Speaker 1: Now do you reckon it's a simulation. 35 00:01:35,319 --> 00:01:37,360 Speaker 2: You know the weird thing Mike is. At first, I 36 00:01:37,360 --> 00:01:39,319 Speaker 2: guess thought he's kidding, He's kidding. 37 00:01:39,480 --> 00:01:41,800 Speaker 3: No, But then I did ten years worth of research 38 00:01:41,840 --> 00:01:43,760 Speaker 3: into how long he's been talking about it, and I 39 00:01:43,800 --> 00:01:45,920 Speaker 3: looked at the science of it, and I interviewed a 40 00:01:45,959 --> 00:01:51,040 Speaker 3: physicist named Melvin Bobson at a UK university whose name 41 00:01:51,080 --> 00:01:53,840 Speaker 3: is escaped me just now. And Melvin came up with 42 00:01:53,960 --> 00:01:57,560 Speaker 3: the second law of infodynamics. Melvin the physicists found it 43 00:01:57,680 --> 00:02:01,400 Speaker 3: across all of the universe, all of nature. This weird 44 00:02:01,440 --> 00:02:05,960 Speaker 3: thing happens. Information is reducing itself all the time. The 45 00:02:06,000 --> 00:02:08,600 Speaker 3: first COVID nineteen. 46 00:02:08,280 --> 00:02:11,799 Speaker 2: Virus had you know, a plethora of base pairs of DNA, 47 00:02:12,040 --> 00:02:14,440 Speaker 2: but as it mutated mutinator, it got less and less 48 00:02:14,440 --> 00:02:16,840 Speaker 2: and less and less, even though it did the same job. 49 00:02:17,120 --> 00:02:19,960 Speaker 2: Everywhere in nature is reducing, and this physinessist says, you know, 50 00:02:21,160 --> 00:02:24,200 Speaker 2: if this were a computer simulation, you'd want to save 51 00:02:24,280 --> 00:02:27,640 Speaker 2: on storage and processing power as much as possible. So 52 00:02:27,760 --> 00:02:29,800 Speaker 2: maybe this is proof there's a simulation. So it starts 53 00:02:29,800 --> 00:02:32,799 Speaker 2: to get very fun. But here's the one thing. Even 54 00:02:32,840 --> 00:02:33,560 Speaker 2: if we don't. 55 00:02:33,320 --> 00:02:36,519 Speaker 3: Believe literally it's a simulation technologyally it could be. You know, 56 00:02:36,600 --> 00:02:38,839 Speaker 3: if you look at where we came. Elon says from 57 00:02:38,919 --> 00:02:41,160 Speaker 3: Pong in nineteen seventy, just kind of two little bits 58 00:02:41,200 --> 00:02:43,280 Speaker 3: of light hitting a ball back and forth against a 59 00:02:43,280 --> 00:02:46,960 Speaker 3: black background into these three D video realistic you're inside, 60 00:02:47,040 --> 00:02:50,000 Speaker 3: you know, doom, you know, shooting monsters. Well, if you 61 00:02:50,040 --> 00:02:52,560 Speaker 3: can advance that much in seventy years, imagine what could 62 00:02:52,600 --> 00:02:54,480 Speaker 3: do in ten thousand years. So it would definitely be 63 00:02:54,560 --> 00:02:56,840 Speaker 3: true ten thousand years from now to have a simulation 64 00:02:56,919 --> 00:03:00,640 Speaker 3: that's so undetectable from reality that you don't even know it. 65 00:03:00,919 --> 00:03:03,320 Speaker 3: And if it's true in ten thousand years, and you 66 00:03:03,360 --> 00:03:06,280 Speaker 3: look at the Earth as about four four billion years. 67 00:03:06,120 --> 00:03:09,200 Speaker 2: Old, that's something like four hundred thousand or four million 68 00:03:09,240 --> 00:03:12,320 Speaker 2: different ten thousand year patches in which it could have happened. 69 00:03:12,680 --> 00:03:15,880 Speaker 2: The thought that's never happened until ten thousand years from 70 00:03:15,919 --> 00:03:19,799 Speaker 2: now seems unlikely. So Elon therefore, says, and if there's 71 00:03:19,800 --> 00:03:24,600 Speaker 2: one simulation, there's probably billions a lot of people playing simulations. Jesus, 72 00:03:24,960 --> 00:03:27,760 Speaker 2: So aren't the chances billions to one in favor of simulation? 73 00:03:28,080 --> 00:03:30,840 Speaker 2: But let's say we reject all that. It's just fun 74 00:03:30,880 --> 00:03:32,839 Speaker 2: to think what if it were it? Lets us look 75 00:03:32,840 --> 00:03:35,280 Speaker 2: at the world in a different way. I've got a 76 00:03:35,280 --> 00:03:37,600 Speaker 2: new job offer, but it's crazy, it's such a high risk. 77 00:03:37,960 --> 00:03:40,560 Speaker 2: Well maybe I should take it because this could all 78 00:03:40,560 --> 00:03:42,960 Speaker 2: be a video game. I've just had a terrible loss. 79 00:03:43,000 --> 00:03:46,440 Speaker 2: My wife has left me, divorced me. You know, as 80 00:03:46,480 --> 00:03:48,760 Speaker 2: hard as it is, if I could put on glasses 81 00:03:48,800 --> 00:03:52,120 Speaker 2: that say, hey man, this is all fake, this is 82 00:03:52,200 --> 00:03:54,800 Speaker 2: all just a simulation, maybe I could heal a little 83 00:03:54,800 --> 00:03:56,840 Speaker 2: bit and feel a little more philosophical about it and 84 00:03:56,920 --> 00:03:59,360 Speaker 2: kind of remove myself from it. There's one more thing 85 00:03:59,360 --> 00:04:02,800 Speaker 2: about this thing, okay, that I throw in there. Ketamine, 86 00:04:03,600 --> 00:04:06,440 Speaker 2: a drug that used to be purely a hospital painkiller 87 00:04:06,480 --> 00:04:10,720 Speaker 2: for surgical patients and now is a therapy for depression. 88 00:04:10,760 --> 00:04:13,760 Speaker 2: My own doctor fifteen years quit his practice to join 89 00:04:14,040 --> 00:04:18,560 Speaker 2: a ketamine company. Ketamine is very popular with Elon, and 90 00:04:19,000 --> 00:04:23,440 Speaker 2: I'm told that when you take ketamine and you're sitting there, 91 00:04:23,480 --> 00:04:25,840 Speaker 2: there comes a point where you are dissociated from the 92 00:04:25,880 --> 00:04:28,599 Speaker 2: picture in front of you. You are suddenly sitting on high. 93 00:04:28,960 --> 00:04:32,440 Speaker 2: Everything's super sharply defined, and it's as if everything is 94 00:04:32,440 --> 00:04:35,919 Speaker 2: a prop It's as if all of it is an illusion, 95 00:04:36,200 --> 00:04:39,520 Speaker 2: and you suddenly realize that it's like what the materialists 96 00:04:39,560 --> 00:04:41,919 Speaker 2: said one hundred and fifty years ago. This desk is 97 00:04:41,960 --> 00:04:45,200 Speaker 2: here only because I think this desk is here. It 98 00:04:45,279 --> 00:04:48,200 Speaker 2: has substance only because my mind gives it that. So 99 00:04:48,240 --> 00:04:49,159 Speaker 2: it starts to get. 100 00:04:49,040 --> 00:04:52,720 Speaker 3: Really quite fascinating. And the publisher warned me, and talking 101 00:04:52,760 --> 00:04:55,080 Speaker 3: about the book, not to start there. It's just too weird. 102 00:04:55,480 --> 00:04:57,479 Speaker 3: I've just started with you know less than number five. 103 00:04:57,680 --> 00:04:59,400 Speaker 3: Most people are loafers, work. 104 00:04:59,160 --> 00:05:02,560 Speaker 2: Harder than you ever before, and yet I remained fascinated 105 00:05:02,640 --> 00:05:04,000 Speaker 2: by its possibilities. 106 00:05:04,160 --> 00:05:07,360 Speaker 1: What are you? How much in the genius of Musk? 107 00:05:07,440 --> 00:05:09,640 Speaker 1: How much is genius and how much is pure insanity? 108 00:05:10,080 --> 00:05:13,480 Speaker 2: Oh? I think it's ninety percent genius. The guy is unbelievable. 109 00:05:13,720 --> 00:05:15,800 Speaker 3: I mean, we've never seen and I've been understood of 110 00:05:15,800 --> 00:05:18,640 Speaker 3: a business reporter Wall Street Journal, managing under of Forbes, 111 00:05:18,839 --> 00:05:22,680 Speaker 3: anchor at CNBC, anchor at Fox Business for thirty plus years, 112 00:05:22,880 --> 00:05:25,160 Speaker 3: and I've never seen anything like it. It's one thing 113 00:05:25,160 --> 00:05:27,760 Speaker 3: to see Jeff Bezos, who once crashed a dinner party 114 00:05:27,800 --> 00:05:28,920 Speaker 3: of mine and sat with me for an hour and 115 00:05:28,960 --> 00:05:29,280 Speaker 3: a half. 116 00:05:29,520 --> 00:05:32,520 Speaker 2: Great guy, fantastic laugh, amazing ambition. 117 00:05:32,880 --> 00:05:35,320 Speaker 3: But he's been great at one thing, and on Blue 118 00:05:35,360 --> 00:05:37,680 Speaker 3: Origin his space rocket stuff, you get the feeling he's 119 00:05:37,680 --> 00:05:39,800 Speaker 3: not that deeply involved. He leaves it to the engineers. 120 00:05:40,240 --> 00:05:44,120 Speaker 3: Elon is super successful on half of different fronts and companies, 121 00:05:44,520 --> 00:05:49,360 Speaker 3: and he gets deeply involved in each thing and is 122 00:05:49,400 --> 00:05:53,640 Speaker 3: actually technically involved. And he continually amazes the engineers around 123 00:05:53,720 --> 00:05:56,800 Speaker 3: him when he comes up with solutions that they just 124 00:05:56,839 --> 00:05:59,200 Speaker 3: don't see, because then you get to that ten percent 125 00:05:59,240 --> 00:06:02,440 Speaker 3: insanity that gives them that extra ability to see things 126 00:06:02,440 --> 00:06:03,719 Speaker 3: that most people don't. 127 00:06:03,520 --> 00:06:05,560 Speaker 1: All right, Dennis, So tell me Dennis about Tiesla. See, 128 00:06:05,560 --> 00:06:08,240 Speaker 1: I'm not a massive fan of Tesla. The genius I 129 00:06:08,279 --> 00:06:09,960 Speaker 1: think of what he did with Tiesla was he beat 130 00:06:10,040 --> 00:06:11,839 Speaker 1: everybody to it. So you know, he had an EV 131 00:06:12,000 --> 00:06:13,560 Speaker 1: before the world hit an EV. But now he's going 132 00:06:13,640 --> 00:06:15,760 Speaker 1: to get beaten by the Chinese and badly. So what's 133 00:06:15,880 --> 00:06:17,200 Speaker 1: you know, what's genius about that? 134 00:06:17,720 --> 00:06:18,080 Speaker 2: Okay? 135 00:06:18,160 --> 00:06:21,520 Speaker 3: So first he bought into Tesla right with his own money. 136 00:06:21,800 --> 00:06:24,560 Speaker 3: He staked I think seventy million, which was at the 137 00:06:24,600 --> 00:06:27,680 Speaker 3: time a substantial portion of his own wealth, which no 138 00:06:27,720 --> 00:06:30,440 Speaker 3: one ever does. You raise other people's money. He did 139 00:06:30,440 --> 00:06:33,080 Speaker 3: that and made it into something better than it ever 140 00:06:33,120 --> 00:06:35,320 Speaker 3: would have been. But to me, the biggest gift of 141 00:06:35,360 --> 00:06:37,960 Speaker 3: Tesla is I always said along I was an opponent 142 00:06:38,000 --> 00:06:40,839 Speaker 3: of green policy. I thought it's there is no crisis. 143 00:06:41,360 --> 00:06:45,200 Speaker 3: The profit motive and technological advance will take care of 144 00:06:45,279 --> 00:06:48,440 Speaker 3: any threat. The thought that a four billion years old 145 00:06:48,520 --> 00:06:51,440 Speaker 3: Earth suddenly is in danger only because of one hundred 146 00:06:51,520 --> 00:06:55,200 Speaker 3: years of industrial use by humans seems a little arrogant, okay. 147 00:06:55,760 --> 00:06:59,920 Speaker 3: And yet Tesla was a great car. People who drive 148 00:07:00,200 --> 00:07:03,000 Speaker 3: buy it and drive it say his self driving goes 149 00:07:03,160 --> 00:07:05,599 Speaker 3: something like one and a half million or two million 150 00:07:05,640 --> 00:07:07,040 Speaker 3: miles without an accident. 151 00:07:07,040 --> 00:07:08,480 Speaker 2: If you look at the whole fleet, that is. 152 00:07:08,480 --> 00:07:11,480 Speaker 3: Three times the links without an accident of regular cars 153 00:07:11,560 --> 00:07:14,280 Speaker 3: made by Detroit. He made a car that was better 154 00:07:14,880 --> 00:07:17,480 Speaker 3: than other cars, never mind whether it's electric or what 155 00:07:17,520 --> 00:07:19,680 Speaker 3: it was, was just a great car, and people love it. 156 00:07:19,680 --> 00:07:22,640 Speaker 3: They feel out affection. But one other thing, there's this 157 00:07:22,760 --> 00:07:27,200 Speaker 3: synergy that goes on. But among all these different Elon businesses. 158 00:07:27,520 --> 00:07:33,360 Speaker 3: So his EXAI engine AI check bought learns from reading stuff. Right, Well, 159 00:07:33,400 --> 00:07:36,880 Speaker 3: it's able to read six thousand messages per second posted 160 00:07:36,920 --> 00:07:41,320 Speaker 3: to the x platform that Elon owns. Meanwhile, the Tesla car, 161 00:07:41,880 --> 00:07:44,360 Speaker 3: its self driving system changed a year or two ago 162 00:07:44,520 --> 00:07:47,720 Speaker 3: over from lines of computer code. If then do this, 163 00:07:47,880 --> 00:07:51,200 Speaker 3: If then then do that to instead reacting to video, 164 00:07:51,920 --> 00:07:55,560 Speaker 3: eliminating the computer code in favor of ingested video. Very 165 00:07:55,560 --> 00:07:58,440 Speaker 3: few other AI efforts have been able to do this. Now, 166 00:07:58,520 --> 00:08:01,280 Speaker 3: all that information that ingests also can be fed to 167 00:08:01,520 --> 00:08:04,560 Speaker 3: x AI, the platform that learns only by seeing and 168 00:08:04,640 --> 00:08:07,679 Speaker 3: reading more things. So there's a way it hooks into everything. 169 00:08:07,680 --> 00:08:10,640 Speaker 3: But then when he takes Tesla and he says, you know, 170 00:08:11,200 --> 00:08:13,600 Speaker 3: if you're going on vacation for a month. There's no 171 00:08:13,640 --> 00:08:16,440 Speaker 3: reason your car should sit idle. We can just order 172 00:08:16,480 --> 00:08:17,960 Speaker 3: it up and have it go pick up people and 173 00:08:18,000 --> 00:08:19,640 Speaker 3: get paid for you and you don't have to do 174 00:08:19,720 --> 00:08:22,720 Speaker 3: anything because but we have self driving. So it ends 175 00:08:22,760 --> 00:08:25,480 Speaker 3: up becoming its own taxi fleet. And then you look, 176 00:08:25,520 --> 00:08:27,760 Speaker 3: Tesla has this robodies making. Have you seen this thing? 177 00:08:28,240 --> 00:08:30,680 Speaker 3: It's human sized. And by the way, one of the 178 00:08:30,720 --> 00:08:33,360 Speaker 3: most fascinating things is that the human hand is one 179 00:08:33,400 --> 00:08:37,520 Speaker 3: of the hardest things to replicate. Five fingers. It's why 180 00:08:37,559 --> 00:08:41,120 Speaker 3: cartoon characters only have three, and yet this thing has 181 00:08:41,280 --> 00:08:45,600 Speaker 3: five four fingers and a thumb perfectly operating. All right, Now, 182 00:08:45,640 --> 00:08:48,520 Speaker 3: this thing supposed to make Tesla cars is going to 183 00:08:48,640 --> 00:08:50,920 Speaker 3: end up he thinks, being thousands of them in the home, right, 184 00:08:51,360 --> 00:08:53,720 Speaker 3: But it also is ingesting everything, and it can feed 185 00:08:53,760 --> 00:08:57,200 Speaker 3: that further to the AI engine. Its arm can end 186 00:08:57,320 --> 00:09:00,719 Speaker 3: up being attached to an amputee thirty Now, let's say 187 00:09:00,720 --> 00:09:03,720 Speaker 3: in the future using the brain chip at his Neuralink 188 00:09:03,800 --> 00:09:06,520 Speaker 3: brain ship company, so that an amputee could be using 189 00:09:06,600 --> 00:09:09,160 Speaker 3: the brain chip to operate this mechanical arm. 190 00:09:09,360 --> 00:09:11,640 Speaker 2: And that is from Olympus. I mean, so no one 191 00:09:11,679 --> 00:09:14,319 Speaker 2: else sees how it all fits together, and I think Elon. 192 00:09:14,120 --> 00:09:16,960 Speaker 1: Does what do you reading he wants with Trump? 193 00:09:17,800 --> 00:09:21,040 Speaker 3: I truly believe he never would have gotten involved if 194 00:09:21,040 --> 00:09:25,000 Speaker 3: he hadn't felt that America was about truly to tumble 195 00:09:25,080 --> 00:09:27,719 Speaker 3: down into the woke mind virus and never come back 196 00:09:27,760 --> 00:09:30,600 Speaker 3: from it. I think he did so reluctantly. He knows 197 00:09:30,679 --> 00:09:32,800 Speaker 3: that he turns off half the audience, and he wants 198 00:09:32,840 --> 00:09:35,959 Speaker 3: one hundred percent of the audience buying Tesla cars. All right, 199 00:09:36,520 --> 00:09:41,120 Speaker 3: But and also because he has the zeal of a convert. 200 00:09:41,120 --> 00:09:43,760 Speaker 3: He is an adopted American, he became a US citizen. 201 00:09:44,800 --> 00:09:47,480 Speaker 3: He has more appreciation for the First Amendment right to 202 00:09:47,600 --> 00:09:51,600 Speaker 3: freedom of speech and free expression than most Americans. Do 203 00:09:52,080 --> 00:09:54,360 Speaker 3: you know something like this is shocking to me? When 204 00:09:54,360 --> 00:09:57,280 Speaker 3: I did the research on it, A third of Americans 205 00:09:57,320 --> 00:10:03,000 Speaker 3: believe that preventing hate speech, which is protected by our 206 00:10:03,040 --> 00:10:07,199 Speaker 3: First Amendment, preventing hate speech is more important than ensuring 207 00:10:07,360 --> 00:10:11,199 Speaker 3: free speech. Well, you bunch of whimps and babies, how 208 00:10:11,200 --> 00:10:13,200 Speaker 3: about you turn the channel. How about you don't listen 209 00:10:13,280 --> 00:10:15,560 Speaker 3: to the hate speech. It's so upcter it makes you 210 00:10:15,640 --> 00:10:16,640 Speaker 3: feel unsafe. 211 00:10:16,920 --> 00:10:21,199 Speaker 2: You seek They actually talk about safe spaces at university campuses. 212 00:10:21,360 --> 00:10:23,760 Speaker 3: What a bunch of babies. I can't even believe that 213 00:10:24,280 --> 00:10:26,640 Speaker 3: we got into a whole problem when we began to 214 00:10:26,640 --> 00:10:32,000 Speaker 3: accept this term called harmful content, as if words they're 215 00:10:32,200 --> 00:10:35,080 Speaker 3: mean can leap off the screen and smack you in 216 00:10:35,120 --> 00:10:38,400 Speaker 3: the face. And so when someone smacks you in the face, 217 00:10:38,440 --> 00:10:40,080 Speaker 3: you blame the words that made them do that, when 218 00:10:40,120 --> 00:10:42,199 Speaker 3: you should blame the person that smacked you in the face. 219 00:10:42,480 --> 00:10:45,400 Speaker 3: Stop with this, because as soon as you decide content 220 00:10:45,840 --> 00:10:49,040 Speaker 3: can be harmful, well then now we got to restrain it. 221 00:10:49,080 --> 00:10:50,640 Speaker 2: We got a censor it, don't we. 222 00:10:51,200 --> 00:10:56,040 Speaker 3: And that is what Elon Musk utterly blew apart by 223 00:10:56,040 --> 00:10:58,880 Speaker 3: spending forty four billion dollars, most of it his money 224 00:10:58,880 --> 00:11:03,440 Speaker 3: and not insane expense, by spending that to buy Twitter, 225 00:11:03,640 --> 00:11:06,920 Speaker 3: read Avid X and tell government, no, we're not going 226 00:11:06,960 --> 00:11:10,319 Speaker 3: to censor thousands of voices that you don't like to hear. 227 00:11:10,720 --> 00:11:11,720 Speaker 2: No weird thing happened. 228 00:11:12,120 --> 00:11:16,719 Speaker 3: All social media continued censoring after the Twitter files came out, 229 00:11:16,720 --> 00:11:19,640 Speaker 3: thanks to Elon Musk and Matt Taibi, the independent journalist 230 00:11:19,679 --> 00:11:20,560 Speaker 3: and the guys he works with. 231 00:11:20,559 --> 00:11:23,760 Speaker 2: All right, so so, but now. 232 00:11:23,600 --> 00:11:26,640 Speaker 3: Finally Mark Zuckerberg just came out the other day and said, look, 233 00:11:27,200 --> 00:11:30,280 Speaker 3: we're sorry, man, we like bowed the government. We censored 234 00:11:30,280 --> 00:11:33,080 Speaker 3: like crazy. We want to literally, he said, quote restore 235 00:11:33,480 --> 00:11:38,400 Speaker 3: free expression to Facebook, threads, Instagram. Now he says we're 236 00:11:38,400 --> 00:11:40,120 Speaker 3: going to get rid of the fact checking based on 237 00:11:40,240 --> 00:11:42,800 Speaker 3: liberal media who are biased. Clearly, he says, we're going 238 00:11:42,840 --> 00:11:44,960 Speaker 3: to do community notes the way X does. So that 239 00:11:45,120 --> 00:11:47,440 Speaker 3: means that much of the social media world is going 240 00:11:47,440 --> 00:11:51,920 Speaker 3: to go toward the X approach. And yet the media 241 00:11:52,040 --> 00:11:54,960 Speaker 3: and politicians told us he had destroyed Twitter, it was 242 00:11:55,000 --> 00:11:57,960 Speaker 3: going to die. He's ruined it, and yet today it's 243 00:11:57,960 --> 00:12:00,680 Speaker 3: stronger than ever before. It is the most powerful media 244 00:12:00,720 --> 00:12:03,520 Speaker 3: platform in the world. And he did that, and he 245 00:12:03,600 --> 00:12:06,400 Speaker 3: did the Trump thing at considerable risk, just because he 246 00:12:06,440 --> 00:12:09,280 Speaker 3: felt like there was no other choice. But how long Mike, 247 00:12:09,320 --> 00:12:13,920 Speaker 3: before that relationship gets rendered asunder the new chief of staff, 248 00:12:13,920 --> 00:12:16,840 Speaker 3: this woman that Trump put in, you know, Mark Cuban, 249 00:12:16,960 --> 00:12:21,480 Speaker 3: the billionaire, said that he doesn't surround himself with strong women, 250 00:12:21,559 --> 00:12:23,640 Speaker 3: and Trump is the first president to ever have a 251 00:12:23,640 --> 00:12:26,160 Speaker 3: woman as chief of staff. She you know, Elon has 252 00:12:26,200 --> 00:12:28,960 Speaker 3: an office in the executive wing. Okay, so he's not 253 00:12:29,000 --> 00:12:31,000 Speaker 3: in the White House, and she's now making sure he 254 00:12:31,040 --> 00:12:34,840 Speaker 3: doesn't have direct contact with Trump unless he goes through her, 255 00:12:35,440 --> 00:12:37,240 Speaker 3: and that's got to be frustrating for him because he's 256 00:12:37,280 --> 00:12:39,440 Speaker 3: been hanging out and living at mar A Lago for 257 00:12:39,679 --> 00:12:43,160 Speaker 3: weeks and like partying with Baron and hanging with Trump. 258 00:12:43,360 --> 00:12:46,240 Speaker 3: But then once he becomes president, you get kind of 259 00:12:46,480 --> 00:12:49,880 Speaker 3: secunded or secreted and no one can get to you. 260 00:12:50,040 --> 00:12:52,000 Speaker 3: And it's got to be frustrating. And I know that 261 00:12:52,040 --> 00:12:53,760 Speaker 3: the Democrats and the media are working hard as they 262 00:12:53,800 --> 00:12:57,760 Speaker 3: can and some Trump allies to break up that relationship. 263 00:12:57,840 --> 00:12:58,400 Speaker 2: They fear it. 264 00:12:58,600 --> 00:13:01,200 Speaker 1: Dennis got a guy that I appreciate your time, Dinners, Neil. 265 00:13:01,280 --> 00:13:04,080 Speaker 1: The book is the leadership genius of Elon Musk. 266 00:13:04,760 --> 00:13:07,680 Speaker 2: For more from the Mic Asking Breakfast, listen live to 267 00:13:07,760 --> 00:13:10,839 Speaker 2: News Talks at b from six am weekdays, or follow 268 00:13:10,880 --> 00:13:12,480 Speaker 2: the podcast on iHeartRadio