1 00:00:02,160 --> 00:00:07,680 Speaker 1: Zone Media. Hello and welcome to this week's Better Offline Monologue. 2 00:00:07,680 --> 00:00:17,240 Speaker 1: I'm your host ed Zitron. Before I go any further, 3 00:00:17,320 --> 00:00:19,200 Speaker 1: if you ever want to reach out to me with the information, 4 00:00:19,640 --> 00:00:23,320 Speaker 1: contact me on signal ez itron dot seven six. That's 5 00:00:23,440 --> 00:00:26,520 Speaker 1: ez or z for the Canadians and UK people out 6 00:00:26,560 --> 00:00:31,800 Speaker 1: there it Ron dot seven six. I will protect your identity. 7 00:00:32,040 --> 00:00:35,080 Speaker 1: Tell me all your secrets. I'd love to know them. Anyway. 8 00:00:35,120 --> 00:00:36,640 Speaker 1: This week, I wanted to talk about the stuff that 9 00:00:36,680 --> 00:00:39,520 Speaker 1: gets me through doing this show every week and start 10 00:00:39,560 --> 00:00:41,559 Speaker 1: with the point that I was told when I was 11 00:00:41,600 --> 00:00:44,720 Speaker 1: told I should do monologues as to really make them 12 00:00:44,800 --> 00:00:46,800 Speaker 1: sometimes just kind of a ran about how I'm feeling. 13 00:00:46,880 --> 00:00:48,720 Speaker 1: So for once, you're actually going to get one of 14 00:00:48,760 --> 00:00:52,120 Speaker 1: those rather than something I pre prepare all neatly and nicely. 15 00:00:52,400 --> 00:00:56,040 Speaker 1: And if it's a bit self indulgent, well, you know what, 16 00:00:55,520 --> 00:00:57,920 Speaker 1: what do you think you're getting with this podcast? I'm 17 00:00:57,920 --> 00:01:01,640 Speaker 1: a dramatic creature and I love it. Anyway. Today's really 18 00:01:01,760 --> 00:01:04,200 Speaker 1: about what keeps me going through the grind and what 19 00:01:04,319 --> 00:01:07,720 Speaker 1: I think this work can mean long term. I realize 20 00:01:07,720 --> 00:01:09,720 Speaker 1: i'm literally, by the way a podcast they're talking about 21 00:01:09,720 --> 00:01:12,000 Speaker 1: the computer and that there are people with significantly hardly 22 00:01:12,160 --> 00:01:14,880 Speaker 1: jobs and not trying to be too dramatic, but this 23 00:01:15,000 --> 00:01:16,720 Speaker 1: shit does kind of run you down a bit, if 24 00:01:16,760 --> 00:01:18,560 Speaker 1: only because a large part of my work comes down 25 00:01:18,600 --> 00:01:21,280 Speaker 1: to explaining at length why so many people are wrong 26 00:01:21,319 --> 00:01:24,320 Speaker 1: about something in a way that may threaten our entire economy, 27 00:01:24,760 --> 00:01:26,840 Speaker 1: and a lot of them are doing it, and it's 28 00:01:27,120 --> 00:01:29,240 Speaker 1: quite strange. I know some of you are going to 29 00:01:29,280 --> 00:01:31,640 Speaker 1: say that this is Brandalini's law, which talks about how 30 00:01:31,680 --> 00:01:35,320 Speaker 1: disproving misinformation tends to require far more effort than creating it. 31 00:01:35,600 --> 00:01:37,440 Speaker 1: But this is different because we live in a time 32 00:01:37,440 --> 00:01:39,360 Speaker 1: where our markets have become part of a death cult 33 00:01:39,440 --> 00:01:42,720 Speaker 1: of short terminism, when nothing bad ever happens until everything 34 00:01:42,800 --> 00:01:46,080 Speaker 1: bad happens at once. Yeah, writing about this on some 35 00:01:46,280 --> 00:01:49,240 Speaker 1: level is therapeutic. It sounds a little deranged, But in 36 00:01:49,280 --> 00:01:52,080 Speaker 1: writing about forty five thousand words in the past two 37 00:01:52,120 --> 00:01:54,720 Speaker 1: months for both the newsletter and the podcast, I've had 38 00:01:54,800 --> 00:01:57,640 Speaker 1: my arguments and really gotten to a point where I'm 39 00:01:57,680 --> 00:02:00,920 Speaker 1: finally happy with them since built building them. In April 40 00:02:00,920 --> 00:02:03,800 Speaker 1: twenty twenty fourth, real ed heads out there will remember 41 00:02:04,360 --> 00:02:08,560 Speaker 1: the two part episode I did about whether We'd hit PKI, 42 00:02:08,680 --> 00:02:11,359 Speaker 1: where I was on steroids because I got strap throw, 43 00:02:11,639 --> 00:02:14,200 Speaker 1: and I believe I threatened the computer itself, and I 44 00:02:14,200 --> 00:02:16,280 Speaker 1: think I said, if I could ever find a way 45 00:02:16,320 --> 00:02:18,320 Speaker 1: to give the computer a strep throw, I'd do it. 46 00:02:18,800 --> 00:02:22,839 Speaker 1: I maintain that threat anyway. The upcoming three part which 47 00:02:22,840 --> 00:02:25,320 Speaker 1: I'll record this weekend and will go out next week, 48 00:02:25,400 --> 00:02:27,799 Speaker 1: is my guide to arguing with AI boosters, and it's 49 00:02:27,800 --> 00:02:32,600 Speaker 1: allowed me to process my kind of potent frustrations with 50 00:02:32,720 --> 00:02:37,200 Speaker 1: their counterintuitive, thinly sourced yet loudly crowded, pseudo arguments, and 51 00:02:37,280 --> 00:02:40,160 Speaker 1: also the kind of the gas lating nature of them. 52 00:02:40,600 --> 00:02:43,800 Speaker 1: And at a time when very little else feels stable, 53 00:02:43,840 --> 00:02:45,960 Speaker 1: it feels nice to take the argument to people that 54 00:02:46,000 --> 00:02:49,680 Speaker 1: have built media presences or small fortunes off of misleading 55 00:02:49,680 --> 00:02:52,840 Speaker 1: people about what large language models are capable of. And 56 00:02:52,880 --> 00:02:55,080 Speaker 1: if I could say large language model correctly at that 57 00:02:55,160 --> 00:02:57,520 Speaker 1: point would feel a lot better. But I'm keeping it. 58 00:02:58,480 --> 00:03:02,200 Speaker 1: I really do find this all quite reprehensible, how they 59 00:03:02,320 --> 00:03:05,640 Speaker 1: emphatically and aggressively manipulate people into falling in line with 60 00:03:05,680 --> 00:03:07,880 Speaker 1: the narrative that AI was the future and that what 61 00:03:07,880 --> 00:03:11,959 Speaker 1: we're seeing today is just a taste of the power, 62 00:03:12,360 --> 00:03:15,160 Speaker 1: rather than being obviously the result of diminishing returns and 63 00:03:15,200 --> 00:03:19,440 Speaker 1: nothing ever really happening. And I genuinely feel moral outrage 64 00:03:19,480 --> 00:03:24,520 Speaker 1: seeing these arguments weaponized at scale. I just don't like 65 00:03:24,600 --> 00:03:28,720 Speaker 1: people being liked to. I don't like having skeptics treated 66 00:03:28,760 --> 00:03:32,080 Speaker 1: with disdain, their works considered dangerous because they refuse to 67 00:03:32,120 --> 00:03:36,120 Speaker 1: immediately ingest clammy Sam Altman's latest info slot. I do 68 00:03:36,160 --> 00:03:39,120 Speaker 1: not like it when people are being told again and 69 00:03:39,160 --> 00:03:41,560 Speaker 1: again and again to ignore their eyes and their ears 70 00:03:41,760 --> 00:03:44,520 Speaker 1: about what AI can do and about whether chet GPT 71 00:03:44,680 --> 00:03:47,200 Speaker 1: is really that amazing. And I do not like that 72 00:03:47,280 --> 00:03:50,240 Speaker 1: so much data center sprawl has been created, so many 73 00:03:50,320 --> 00:03:54,080 Speaker 1: billions have been burned, so many environs poisoned, and work stolen, 74 00:03:54,120 --> 00:03:56,520 Speaker 1: so that the most expensive software of all time can 75 00:03:56,560 --> 00:03:59,160 Speaker 1: propagate and to the exhausts a few hundred billion dollars 76 00:03:59,160 --> 00:04:02,440 Speaker 1: of venture capital and private credit dollars. And it feels 77 00:04:02,520 --> 00:04:06,040 Speaker 1: good to have my work reach a certain scale and 78 00:04:06,080 --> 00:04:08,440 Speaker 1: got there from telling the truth and doing so in 79 00:04:08,440 --> 00:04:11,320 Speaker 1: an emotionally honest way. I mean, who the fuck knows 80 00:04:11,360 --> 00:04:13,720 Speaker 1: what you actually think of me, But at least I'm 81 00:04:13,760 --> 00:04:17,200 Speaker 1: genuine in doing this. It's like eleven ten at night, 82 00:04:17,320 --> 00:04:19,599 Speaker 1: because this was the only time I could really get 83 00:04:19,600 --> 00:04:22,680 Speaker 1: this out, not even the effort, just the emotion needed 84 00:04:22,720 --> 00:04:26,440 Speaker 1: to be there. Anyway, my ranting aside, it feels good 85 00:04:26,480 --> 00:04:29,360 Speaker 1: to read headline after headline that we're actually in an 86 00:04:29,360 --> 00:04:32,000 Speaker 1: AI bubble because it means that on some level, the 87 00:04:32,080 --> 00:04:37,359 Speaker 1: work iron people like me other skeptics are doing, even directly, 88 00:04:37,400 --> 00:04:40,920 Speaker 1: it's bringing an end to this abominable waste. I do, however, 89 00:04:41,000 --> 00:04:43,479 Speaker 1: believe something is growing out of this and out of 90 00:04:43,520 --> 00:04:45,800 Speaker 1: these headlines and out of my work, and that's the 91 00:04:45,839 --> 00:04:49,440 Speaker 1: willingness of the media to accept skepticism, to actually give 92 00:04:49,560 --> 00:04:52,680 Speaker 1: space for it, and to more than just humor, but 93 00:04:53,240 --> 00:04:57,800 Speaker 1: actually begin engaging with these arguments themselves. Last week's relatively 94 00:04:57,839 --> 00:05:00,600 Speaker 1: despondent monologue was more a result of my exhaustion at 95 00:05:00,600 --> 00:05:03,440 Speaker 1: the end of that two month, forty five thousand word fest. 96 00:05:03,880 --> 00:05:05,799 Speaker 1: But the truth is that I have been on television 97 00:05:05,839 --> 00:05:07,960 Speaker 1: four times in the last week and a half, done 98 00:05:08,000 --> 00:05:11,320 Speaker 1: three different interviews, and I'm getting substantially more space to 99 00:05:11,360 --> 00:05:14,480 Speaker 1: explain my arguments in detail. It's not me boasting. This 100 00:05:14,520 --> 00:05:18,080 Speaker 1: is a good thing for everyone. This means that skepticism 101 00:05:18,279 --> 00:05:22,840 Speaker 1: can truly be mainstream, and there genuinely is this shift 102 00:05:22,920 --> 00:05:25,400 Speaker 1: in the mainstream, and this is one that opens the 103 00:05:25,440 --> 00:05:27,560 Speaker 1: door to an entire legion of people to do this 104 00:05:27,640 --> 00:05:31,520 Speaker 1: kind of meaningful, deep emotional and thorough analysis. If my 105 00:05:31,640 --> 00:05:34,880 Speaker 1: ideas can be mainstream, soaken yours. You just have to 106 00:05:34,880 --> 00:05:37,480 Speaker 1: be willing to keep consistent and unrelenting in your beliefs 107 00:05:37,480 --> 00:05:40,760 Speaker 1: and really do a thorough job, actually really look at 108 00:05:40,760 --> 00:05:43,920 Speaker 1: things in the cold, harsh light of day, be willing 109 00:05:43,960 --> 00:05:47,800 Speaker 1: to be skeptical but not brash with your skepticism, and 110 00:05:47,880 --> 00:05:51,480 Speaker 1: actually focus your energy on finding the truth, even if 111 00:05:51,480 --> 00:05:54,440 Speaker 1: that truth isn't great. If I'm completely honest. The Premium 112 00:05:54,440 --> 00:05:57,080 Speaker 1: newsletter this week, it started with me believing I had 113 00:05:57,080 --> 00:05:59,200 Speaker 1: a huge scoop. By the end of it, I realized 114 00:05:59,240 --> 00:06:03,000 Speaker 1: that didn't. I still find something interesting, though, because in 115 00:06:03,040 --> 00:06:04,880 Speaker 1: the process of chasing this down, I learned a lot 116 00:06:04,920 --> 00:06:10,120 Speaker 1: about GPUs eh. But anyway, the idea that my ideas 117 00:06:10,160 --> 00:06:13,960 Speaker 1: in mainstreaming is a huge deal because it means more 118 00:06:14,040 --> 00:06:17,159 Speaker 1: people are willing to consider that perhaps taking business leaders 119 00:06:17,240 --> 00:06:20,560 Speaker 1: might I don't know, be full of shit. And while 120 00:06:20,560 --> 00:06:22,760 Speaker 1: this is not a victory lap of any sort, I'm 121 00:06:22,839 --> 00:06:25,320 Speaker 1: not taking one of those until it's time, and that 122 00:06:25,360 --> 00:06:28,839 Speaker 1: will be when open aigh or anthropic finally shuts down. 123 00:06:29,279 --> 00:06:31,200 Speaker 1: But the true victory here is that you have big, 124 00:06:31,240 --> 00:06:34,520 Speaker 1: serious publications writing stories about things based on my work. 125 00:06:35,000 --> 00:06:37,039 Speaker 1: The Wall Street Journal out of piece by Christopher Mims, 126 00:06:37,080 --> 00:06:38,600 Speaker 1: And yes I did inspire it, he said up on 127 00:06:38,640 --> 00:06:40,720 Speaker 1: Blue Sky, and you can look talking about the cost 128 00:06:40,720 --> 00:06:44,159 Speaker 1: of inference increasing. This is a huge deal. This is 129 00:06:44,200 --> 00:06:48,160 Speaker 1: a major publication being willing to talk about serious skeptical 130 00:06:48,200 --> 00:06:52,200 Speaker 1: ideas that question the narrative that the entire market is chasing. 131 00:06:52,520 --> 00:06:54,839 Speaker 1: And Christopher Mems he also did that great piece on 132 00:06:54,920 --> 00:06:58,279 Speaker 1: data centers, sprawl and the costs and the capex. He 133 00:06:58,400 --> 00:07:01,480 Speaker 1: cited Paul Kudrowski. I'll get to that in future podcast. 134 00:07:01,520 --> 00:07:05,680 Speaker 1: But nevertheless, these ideas are breaking through to the mainstream, 135 00:07:05,720 --> 00:07:08,600 Speaker 1: and narratives can be broken, ideas can be picked up 136 00:07:08,600 --> 00:07:11,880 Speaker 1: and mainstreamed, and suddenly the world is willing to consider 137 00:07:12,240 --> 00:07:17,000 Speaker 1: true skepticism. An increased presence of tech and business skepticism 138 00:07:17,000 --> 00:07:19,480 Speaker 1: in the mainstream will be a net benefit to society, 139 00:07:19,640 --> 00:07:21,960 Speaker 1: and it's an opportunity to hold companies accountable for the 140 00:07:21,960 --> 00:07:24,600 Speaker 1: products and problems they create. I also want to be 141 00:07:24,600 --> 00:07:26,480 Speaker 1: clear that I am not the first to do this. 142 00:07:26,600 --> 00:07:29,800 Speaker 1: Alison Morrow at CNN has been leading tech skeptics since 143 00:07:29,800 --> 00:07:31,560 Speaker 1: twenty twenty one, when she was one of the few 144 00:07:31,600 --> 00:07:34,000 Speaker 1: to call bullshit on the metaverse. By the way, but 145 00:07:34,080 --> 00:07:36,880 Speaker 1: the level of mainstream interest I'm seeing in my work 146 00:07:36,920 --> 00:07:39,160 Speaker 1: suggests that the world is finally ready to take this 147 00:07:39,800 --> 00:07:42,360 Speaker 1: more big time. If I'm honest, to make this a 148 00:07:42,440 --> 00:07:45,760 Speaker 1: more common thing you hear of rather than this effusive, 149 00:07:46,520 --> 00:07:50,960 Speaker 1: dumb shit clapping at anything, Sam Moultman says. And I 150 00:07:51,080 --> 00:07:54,080 Speaker 1: realize it seems unrealistic, but with enough public pressure, with 151 00:07:54,120 --> 00:07:57,280 Speaker 1: a fundamental shift in how we cover business and technology, 152 00:07:57,400 --> 00:08:00,520 Speaker 1: we can affect true change. I can't promise will change 153 00:08:00,520 --> 00:08:04,320 Speaker 1: everything overnight, but that will stop every calamitous waste of 154 00:08:04,360 --> 00:08:06,840 Speaker 1: money or colatomus. So I was about to say, but 155 00:08:06,920 --> 00:08:09,400 Speaker 1: if we make it harder to do this financially, waste 156 00:08:09,440 --> 00:08:12,080 Speaker 1: will bullshit quietly, We'll make it harder to do it 157 00:08:12,120 --> 00:08:15,160 Speaker 1: again and again. And it starts with accountability. Once the 158 00:08:15,200 --> 00:08:18,040 Speaker 1: AI bubble bursts, which started four years ago for me 159 00:08:18,080 --> 00:08:21,280 Speaker 1: when I started covering the bullshit of the metaverse, financial 160 00:08:21,280 --> 00:08:24,040 Speaker 1: crises have never been covered in this detail by the media, 161 00:08:24,160 --> 00:08:27,000 Speaker 1: or at least not so widely. And though I believe 162 00:08:27,040 --> 00:08:29,160 Speaker 1: the collapse of AI will be destructive for the tech 163 00:08:29,200 --> 00:08:32,240 Speaker 1: and industry in our markets. I think that for the 164 00:08:32,280 --> 00:08:35,880 Speaker 1: first time, I and others have cataloged the exact destructive 165 00:08:35,920 --> 00:08:40,160 Speaker 1: decisions and their consequences on multiple different levels. To fully 166 00:08:40,200 --> 00:08:42,560 Speaker 1: cover the AI boom does not require you just to 167 00:08:42,600 --> 00:08:46,440 Speaker 1: cover finances. It doesn't require you just to cover the businesses. 168 00:08:46,679 --> 00:08:49,960 Speaker 1: You have to deeply and meaningfully understand the people behind it. 169 00:08:50,240 --> 00:08:54,320 Speaker 1: Fucking Casey Newton suggested, I don't do that. This Friday, 170 00:08:54,360 --> 00:08:57,920 Speaker 1: I'm talking with an actual software developer about a blog 171 00:08:57,960 --> 00:09:00,719 Speaker 1: you oat guy called Colton. He's fantastic, and about how 172 00:09:00,760 --> 00:09:03,640 Speaker 1: the whole myth of the ten engineer doesn't really exist 173 00:09:03,640 --> 00:09:07,280 Speaker 1: with AI. Talking to these people is necessary because this 174 00:09:07,400 --> 00:09:10,600 Speaker 1: isn't just a movement that grew from financial misdeeds, but 175 00:09:10,679 --> 00:09:14,040 Speaker 1: it grew from a tech industry that's kind of disconnected 176 00:09:14,080 --> 00:09:18,079 Speaker 1: from reality. Breaking those illusions is necessary, and it's how 177 00:09:18,200 --> 00:09:21,680 Speaker 1: we stop these things happening again. The Great Financial Crisis 178 00:09:21,679 --> 00:09:24,240 Speaker 1: happened in a much less connective media environment of far 179 00:09:24,320 --> 00:09:28,000 Speaker 1: fewer means of distribution for independent critics. The mainstream media 180 00:09:28,080 --> 00:09:30,600 Speaker 1: opening their arms to business and tech skepticism is an 181 00:09:30,640 --> 00:09:33,960 Speaker 1: important opportunity to explain why this happened, how the market 182 00:09:34,040 --> 00:09:36,600 Speaker 1: became illogical, and what means we used to manipulate the 183 00:09:36,600 --> 00:09:40,520 Speaker 1: media into telling that story. Mainstreaming and education of how 184 00:09:40,600 --> 00:09:43,800 Speaker 1: narratives are built allows people to pull apart future narratives. 185 00:09:44,080 --> 00:09:46,640 Speaker 1: Teaching people to be skeptical of companies selling things is 186 00:09:46,640 --> 00:09:48,800 Speaker 1: a good thing and one that empowers people to make 187 00:09:48,840 --> 00:09:51,640 Speaker 1: better decisions with their lives. Now, I should be clear, 188 00:09:52,040 --> 00:09:54,920 Speaker 1: tech and business skepticism is not new. There have been 189 00:09:54,960 --> 00:09:58,480 Speaker 1: people doing it for twenty goddamn years. What is new 190 00:09:58,760 --> 00:10:04,960 Speaker 1: is the mainstream making this mainstream making financial skepticism. Mainstream 191 00:10:05,240 --> 00:10:08,400 Speaker 1: can change the world, and it can make the goddamn 192 00:10:08,400 --> 00:10:11,199 Speaker 1: Internet better. It can fix the tech industry at a 193 00:10:11,280 --> 00:10:13,040 Speaker 1: time when I don't think the tech industry has been 194 00:10:13,120 --> 00:10:17,360 Speaker 1: more shitty. And I truly love technology and it's brought 195 00:10:17,360 --> 00:10:21,280 Speaker 1: me love, joy, happiness, community and success, and very little 196 00:10:21,280 --> 00:10:24,360 Speaker 1: about what the current tech industry is focused upon feels 197 00:10:24,360 --> 00:10:26,440 Speaker 1: like it's done in pursuit of any of those things. 198 00:10:27,840 --> 00:10:30,440 Speaker 1: In fact, I don't even know what the current tech 199 00:10:30,480 --> 00:10:34,360 Speaker 1: industry is focused on. There are companies doing interesting things. 200 00:10:34,920 --> 00:10:39,240 Speaker 1: I like framework, I like Anchor, I like seeing things 201 00:10:39,280 --> 00:10:42,960 Speaker 1: that are truly changing the world and changing the world 202 00:10:43,000 --> 00:10:45,640 Speaker 1: doesn't need to be this magical, ridiculous thing. It can 203 00:10:45,720 --> 00:10:48,559 Speaker 1: just be making the world a bit more fun and interesting. 204 00:10:49,280 --> 00:10:51,439 Speaker 1: And I don't see anyone in big tech doing that. 205 00:10:51,640 --> 00:10:54,240 Speaker 1: And I don't think thirty three percent of startup funding 206 00:10:54,280 --> 00:10:57,080 Speaker 1: going to AI is actually in pursuit of making anyone's 207 00:10:57,120 --> 00:11:01,000 Speaker 1: lives better, anyone more efficient, making humans better, or even 208 00:11:01,080 --> 00:11:04,200 Speaker 1: if I'm fucking honest, replacing humans. I don't think anyone 209 00:11:04,280 --> 00:11:06,280 Speaker 1: knows what they're doing. And I think where there are 210 00:11:06,640 --> 00:11:09,839 Speaker 1: could be exceptions or on the fringes in really deep 211 00:11:09,920 --> 00:11:12,840 Speaker 1: niche cases. I don't know, but I think the majority 212 00:11:12,880 --> 00:11:17,320 Speaker 1: of generative AI is kind of nihilistic. It's growth for 213 00:11:17,360 --> 00:11:20,960 Speaker 1: growth's sake, and it's the real detritus of the rot economy. 214 00:11:22,120 --> 00:11:26,760 Speaker 1: And I think a collapse is inevitable. I hope it 215 00:11:26,800 --> 00:11:29,559 Speaker 1: isn't as bad as it could be, but I think 216 00:11:29,559 --> 00:11:35,000 Speaker 1: it's the inevitable consequence of taking software and hardware out 217 00:11:35,040 --> 00:11:37,280 Speaker 1: of the hands of people that actually use it to 218 00:11:37,360 --> 00:11:39,680 Speaker 1: do shit and putting it in the hands of management 219 00:11:39,760 --> 00:11:44,439 Speaker 1: consultants like satching Adella. These companies cannot be swayed by regulation. 220 00:11:44,840 --> 00:11:47,560 Speaker 1: The CEOs are too rich, their businesses are too entrenched, 221 00:11:48,040 --> 00:11:50,520 Speaker 1: and thus the info poison we must use is educating 222 00:11:50,520 --> 00:11:53,160 Speaker 1: as many people as possible in how to be skeptical 223 00:11:53,200 --> 00:11:56,000 Speaker 1: of big text hype cycles and knowing the names of 224 00:11:56,040 --> 00:11:59,040 Speaker 1: people like satching Adella and most of us Suliman at Microsoft, 225 00:11:59,160 --> 00:12:02,079 Speaker 1: the people burning billions of dollars for no goddamnaries and 226 00:12:02,200 --> 00:12:07,079 Speaker 1: or clammy Sam Moltman, mocking them, pointing at them, calling 227 00:12:07,120 --> 00:12:11,199 Speaker 1: them what they are that changes the world, that makes 228 00:12:11,240 --> 00:12:16,840 Speaker 1: things better. And I'm touched by the amount of emails 229 00:12:16,880 --> 00:12:19,720 Speaker 1: I get from you. I'm genuinely blessed. I know how 230 00:12:19,720 --> 00:12:24,000 Speaker 1: hokey that sounds. Whatever you know me, I'm a dramatic fellow. 231 00:12:24,040 --> 00:12:26,320 Speaker 1: But I hear from so many of you that this 232 00:12:26,440 --> 00:12:30,120 Speaker 1: is what you want, that you want a better tech industry, 233 00:12:30,160 --> 00:12:32,679 Speaker 1: but you wont so want people to be more skeptical 234 00:12:32,720 --> 00:12:35,040 Speaker 1: of this one. And I couldn't agree more. We can 235 00:12:35,160 --> 00:12:37,920 Speaker 1: have a better world. I don't know how quickly we will. 236 00:12:38,360 --> 00:12:42,040 Speaker 1: There are times when it doesn't feel possible, but I 237 00:12:42,080 --> 00:12:45,280 Speaker 1: actually think it is. Anyway, this monologue has gone on 238 00:12:45,320 --> 00:12:48,400 Speaker 1: way too long. Enjoy the three part next week, How 239 00:12:48,440 --> 00:12:51,240 Speaker 1: to Argue with Nai Booster. It's based on the newsletter. 240 00:12:51,280 --> 00:12:53,079 Speaker 1: It's going to be a lot of fun. Shoot me 241 00:12:53,080 --> 00:12:56,000 Speaker 1: an email, go on the subreddit, dm me on Blue Sky, 242 00:12:56,200 --> 00:12:59,080 Speaker 1: or throw me a slob on Goot. Thanks to zever 243 00:12:59,160 --> 00:13:00,199 Speaker 1: for giving me your time. I'm