This is Gavin Newsom - September 18, 2026


And, This Is An Urgent Message on Artificial Intelligence

And, This is A Fight To Protect Our Rights With Montgomery Mayor Steven Reed

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Transcript

Transcript generated with Whisper (turbo).
Misogyny classifications generated with MilaNLProc/bert-base-uncased-ear-misogyny .
Toxicity classifications generated with s-nlp/roberta_toxicity_classifier .
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
00:00:00.000 So a few months ago, I sat down right here with two of the leading voices warning about the risks
00:00:06.280 of runaway AI, Tristan Harris and Aza Raskin. I wanted to re-up the conversation because, well,
00:00:14.460 I think all of us can agree we're at a hinge moment. When we first aired this episode,
00:00:19.720 some people called them alarmists. Maybe so, but today the alarm is increasingly coming from inside
00:00:27.220 the industry. People racing to build the most powerful AI systems in the world are now telling
00:00:32.900 us to slow down. Researchers, you've seen it, are quitting. CEOs are increasingly begging us to be
00:00:41.680 regulated. We should pay attention to that. Meanwhile, there's still no comprehensive
00:00:47.060 federal law, none requiring AI companies to report dangerous incidences when they happen.
00:00:52.860 And President Trump has rejected calls for new regulation.
00:00:58.560 No new regulation. Let it rip. He's dead wrong.
00:01:03.400 California, again, will, as a consequence, take action.
00:01:07.220 California will do what it always does, will lead.
00:01:09.860 And so today I'm signing an executive order to speed up a first in America AI safety policy that we have here in California.
00:01:18.280 It does a lot of important things.
00:01:19.920 It dramatically speeds up our new law, creating a framework for truly independent safety checks, independent verification organizations, as well as moving the timeline up for oversight of AI auditors up by a full year.
00:01:35.080 California wants to create the standards in this space.
00:01:38.280 The CEO also begins an effort to tighten our safety and security requirements for powerful AI systems as well as models, laying the foundation for requiring third-party safety verification on an ongoing basis, as well as more mandatory reporting of incidents like the hugging face hack and advancing efforts to create an emergency shutoff, otherwise known as an AI kill switch, which means a lot of things depending on who you talk to.
00:02:06.920 So we want to flesh out exactly what that means and how to come up with a framework that works.
00:02:13.520 So we're going to convene experts, as we did with the creation of SB 53, to figure out the right path forward.
00:02:22.920 California will do what it can, but this nation needs to get in the game.
00:02:27.920 Washington, D.C. needs to do its job.
00:02:31.320 Remarkably, they left for a summer break.
00:02:34.360 Mike Johnson, should return from vacation and follow California's lead by passing national
00:02:40.540 legislation. Get it done. That's what leadership requires, setting a comprehensive safety framework
00:02:47.020 as a floor. It's the minimum thing we should expect that he and his colleagues do. Our model,
00:02:54.440 California model, works. And if Congress again won't act, California will. And that brings us
00:02:59.440 back to this conversation we recorded. It was just a few months ago. I hope you'll listen to
00:03:04.560 what Tristan and Aza were warning about then. And then look at the headlines today. Fast forward to
00:03:10.640 today. They were right so far. And here's the question every American should be asking right
00:03:15.220 now. Who is actually in control? Are the companies that are building AI in control? Is the government
00:03:21.180 in control? Or increasingly, is the AI itself that's in control? Some said this question sounded
00:03:28.500 alarmist again just a few months ago. It doesn't anymore. And that's why California is continuing
00:03:33.980 to lead to keep our families safe. This is Gavin Newsom. And this is Tristan Harris in
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00:04:18.540 Hi, this is Kylie Brakeman, Angela Jaritana, Jeremy Culhane, Patrick McDonald, and we're
00:04:24.040 the hosts of the Artists on Artists on Artists on Artists podcast, the Improvised Character
00:04:28.460 Comedy podcast, where each week a new panel of artists discuss their craft.
00:04:33.340 Join us for a panel of Eurovision participants.
00:04:36.420 And we do a little Halloween sometimes.
00:04:38.640 Does the Pope dress up?
00:04:39.960 He winks on Halloween.
00:04:42.260 He gets right up next to the microphone.
00:04:43.960 I hear you can almost hear the eyelashes hit each other.
00:04:46.880 You've never seen Italy so quiet as when the Pope gets up to wink on Halloween.
00:04:52.420 Listen to Artists on Artists on Artists on Artists every Thursday on the iHeartRadio app,
00:04:56.900 Apple Podcasts, or wherever you get your podcasts.
00:04:59.900 So like by age 11 or so, at least 70% have a phone.
00:05:04.340 I'm Dr. Joy, and this is Therapy for Black Girls.
00:05:07.340 We spend our surviving middle school run getting into what's happening inside your kid's brain,
00:05:11.820 the group chats, and their friendships, and what you can do about it.
00:05:14.900 Your child is not doing this on purpose.
00:05:17.880 That's the kind of perspective we've been pulling from the psychologists and psychiatrists who studied this for a living.
00:05:22.440 Listen to Therapy for Black Girls on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
00:05:29.020 Self-Care September is your reminder to slow down, check in with yourself, get off your phone, and maybe ask, why am I like this?
00:05:37.680 I'm Gemma Spegg, host of the Psychology of Your 20s podcast.
00:05:41.300 And this month, we're helping you make sense of the person that you are becoming.
00:05:44.900 From setting boundaries and navigating friendships to understanding anxiety, confidence, relationships, and attachment.
00:05:52.480 Sometimes our biggest decisions, without us even realizing it, aren't driven by what we truly want, but by what will prevent us from feeling lonely or being alone.
00:06:04.220 Listen to The Psychology of Your 20s on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
00:06:11.940 Hey, it's Bobby Bones.
00:06:13.300 Join me and former NFL quarterback Matt Cassel every Wednesday on our podcast,
00:06:18.680 Lots to Say, with me, Bobby Bones, and Matt Cassel.
00:06:21.760 You're in training camp, and the rookie quarterback has one good throwing session in front of the media.
00:06:27.000 Suddenly, everybody online says he should start over you week one.
00:06:30.040 How do you handle this?
00:06:30.920 You just go back out to practice the next day and wait for him to mess up.
00:06:34.280 Listen to Lots to Say with Bobby Bones and Matt Cassel on the iHeartRadio app,
00:06:38.260 Apple Podcasts, or wherever you get your podcasts.
00:06:40.860 Whether you're a seasoned NFL fan or new to the game,
00:06:44.660 there's one place to keep up with all of it.
00:06:46.580 The league's newest podcast, The NFL Report, hosted by me, Andrew Siciliano.
00:06:51.480 It is your home for everything football.
00:06:53.380 Breaking news, expert analysis, game picks, and hear from your favorite players too.
00:06:57.680 Join me and an all-star cast of experts for everything you need to know from around the league.
00:07:02.300 Get new episodes of The NFL Report Monday through Friday all season long.
00:07:05.920 Listen to the NFL Report podcast on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
00:07:13.000 The World Cup is over, but if you caught the soccer bug and aren't sure what to do now, check out our podcast, Big Kick Energy.
00:07:18.800 I'm Cameron Dicker, the kicker from the Los Angeles Chargers, and I'm here with Timmy Tillman, current LAFC star player.
00:07:25.060 So, we know a little something about kicking balls.
00:07:27.960 Each week, we'll tackle things like, who's winning the Premier League this year?
00:07:31.660 What do you think is harder, scoring a penalty kick or scoring a field goal?
00:07:35.240 join us each week for a quick chat with your soccer loving bros about the best sport in the
00:07:39.460 world soccer just don't tell my coaches i said that listen to big kick energy on the iheart
00:07:44.700 radio app apple podcast or wherever you listen to podcasts all right so you guys want that you're 0.54
00:07:50.620 on the back end now of this world tour where you guys have been all over the damn place yeah and
00:07:55.300 you launched it and it's on the basis of a movie that you you you didn't necessarily it's not your
00:08:00.560 movie right but you participate in a movie that's right uh this new documentary that uh was released
00:08:05.440 what a month ago yeah but a month and a half ago the ai doc or how i became an apocal optimist uh
00:08:10.560 our friends the directors of everything everywhere all at once we chatted with them uh several years
00:08:15.680 ago when we first really recognized the situation we were in and um asked them for their help to
00:08:22.120 help create a movie to clarify the ai situation and long story short we'll talk about it but we
00:08:27.640 got the directors of Navalny involved and its whole team came together and tried to make a movie
00:08:31.720 that would clarify the predicament that we're facing. And Kevin, do you, do you remember seeing
00:08:35.080 the film the day after? Of course. Well, I mean, I want to, maybe I was alive. It was what? It was
00:08:39.880 the early eighties or something, right? 82 or 83. 82, 83. Yeah. What's, it was like a 7 p.m.
00:08:45.860 Tuesday night. Exactly. Every human being on planet earth. It's the largest synchronized
00:08:50.460 television event in human history in terms of the number of people seeing the same thing at the same
00:08:54.820 time uh besides probably the olympics it was a made-for-tv movie about what would happen if
00:09:00.880 there was nuclear war right and it's not as if people didn't know what nuclear war was but there's
00:09:06.400 something about we didn't really want to think about it or confront it like why would you and
00:09:10.380 i think the people who made that film were trying to create this kind of collective confrontation
00:09:16.060 because the film was aired in the soviet union like five years uh no i think five years later
00:09:20.360 right before the reikovic accords uh the first arms control talks and that set the context that
00:09:26.760 it's like i know that you know that i know and you know that i know that you know that we both
00:09:30.620 don't want that to happen it's what you know what stephen pinker calls common knowledge but we think
00:09:34.620 of it as almost common feeling yeah yeah that we both we both know that we feel the same way
00:09:39.740 about that anti-human outcome and i think that with ai we have to get clear because ai is a much
00:09:46.140 more confusing technology because it's like it's like if nukes as aza would say it's like if nukes
00:09:50.020 carried imagine we're trying to reason about nukes that also could cure cancer like how would
00:09:56.140 you deal with something or pump gdp by 10 that's right right and so what the day after did is that
00:10:01.800 it created this this common feeling common knowledge where we could all see oh a world
00:10:06.580 where we all go to nuclear war that like that that's an anti-human anti-life future and as long
00:10:11.140 as there's confusion about which default world AI ends us in, we're not going to do anything about
00:10:16.340 it. But if we all have clarity that it's heading us towards an anti-human future, and we can build
00:10:20.760 that out in this interview, then that means it creates the conditions where we can coordinate 0.72
00:10:25.680 to do something else. Right. So that was the impetus behind this documentary. It was to create
00:10:31.600 that collective understanding, that wisdom, that collective then response mechanism, which would
00:10:37.460 be, we need to do something about this. The promise that we could talk about, but the peril
00:10:42.460 in terms of the safety risks and the anxiety that so many of us are feeling. So you guys have been
00:10:46.620 out on this tour. You've been all over the place over the course of the last month. And you've been
00:10:51.860 obviously reaching out to people on all political sides of the aisle because of the human nature of
00:10:58.940 this. This is universal. That there's something that connects all of us. This is not a partisan
00:11:03.380 and frame. And so is that something that's been captured in your own consciousness as you've been
00:11:11.000 out on this door, how real and visible that is? Or are we still in the process of discovery? I mean,
00:11:18.560 are we still in the process of understanding more fully what the hell this is all about?
00:11:23.400 I think people still, not everybody knows. And the film was just out in theaters and has a
00:11:27.800 limited release on streaming now it should be on peacock on i think may 20th um which i mean a
00:11:33.440 little bit more people will see it but i think that you know the universal human aspect of this
00:11:38.400 we learned also from social media like the social media didn't care whether you're a democrat or
00:11:42.560 republican it creates loneliness for everyone it creates addiction and doom scrolling and brain
00:11:47.100 rot for everyone i know that's how we you know first met was really on the back of the other
00:11:51.240 film that we were a part of the social dilemma um and i think the good news about that film is
00:11:57.460 that it has both catalyzed actually a lot of change and not the laws yet. We know that. But
00:12:01.280 I think it primed us to now be much more cautious about AI. So I think now that people know that
00:12:07.220 social media was a problem, it makes it much easier to say that you shouldn't just assume
00:12:11.360 that the default trajectory of a technology is going to land us in a good future. But, you know,
00:12:17.260 the social dilemma was seen basically by 200 million people across planet Earth and 190
00:12:21.960 countries. When was social dilemma released? 2020, September of 2020. September 2020,
00:12:26.240 during the middle of the pandemic and i don't i think that also really mattered because people
00:12:30.600 were a lot of people were stuck at home and they were only seeing reality through the binoculars
00:12:35.460 of this social media news feed right so suddenly you saw your friends all start to go crazy on both
00:12:40.640 sides like suddenly the politics got more extreme because as everybody knows now you know social
00:12:45.500 media increases the visibility of the most extreme voices we get a double whammy of over
00:12:51.200 representation of the extreme voices both because the extreme voices post more often and dominate
00:12:56.880 the discourse and whatever they say goes more viral so you get double over representation so
00:13:02.420 the more you use social media the worse you are at predicting what the other side actually believes
00:13:07.380 and so you think that with this technology that's supposed to bring us together and make us the most
00:13:11.620 enlightened society it's actually making us more confused about what's really real in fact what our
00:13:16.300 fellow americans actually believe and i think with your podcast this is about actually you're talking
00:13:20.660 everybody you're trying to say this is a human conversation we talk to everybody and this is
00:13:24.740 kind of fighting the effects i think of the social media problem so you were i mean in 2020 what was
00:13:29.460 so resonant is you it was almost and it wasn't your intent to say look i told you so but you
00:13:34.680 were talking about these things in 2012 2013 that's right yes uh and saying the incentive
00:13:39.760 structure and i'm going to get to incentives because it goes to the core of this documentary
00:13:43.280 um this notion of you know you know whatever someone's paycheck is attached to whatever the
00:13:49.340 incentive is, which is obviously with social media, was eyeballs, was doom scrolling, which
00:13:55.240 you're intimately familiar with for different reasons. And that notion that we have a chance
00:14:00.660 now with AI not to make the mistakes we made, the neglect in particular, in under-regulating
00:14:07.980 social media now with AI. That said, it doesn't seem like there's a lot of regulatory activity
00:14:15.280 with AI in the last couple of years.
00:14:17.960 I mean, so talk to me a little bit about that.
00:14:20.240 Talk to me about the lessons
00:14:21.120 that we should have learned about social media
00:14:23.280 and how we can adapt and adopt in the AI strength frame.
00:14:27.260 Well, really, I think the core of it is
00:14:29.680 if we just get confused by looking
00:14:32.200 at all of the sort of epiphenomena,
00:14:34.560 like the different kinds of harms that social media made,
00:14:36.800 like if you're trying to solve just the loneliness thing
00:14:40.720 or you're just working on solving the disinformation thing
00:14:44.420 or just the teen sexualization thing well then many different people are working at different
00:14:48.840 parts of the problem you're not solving the core thing um which is the race to the bottom of the
00:14:53.820 brainstem for attention and if we could just focus our attention on that then you actually can solve
00:14:57.960 all the other problems at once and that's sort of the the core insight um we should probably
00:15:03.340 explain that what would it mean to do that so if you're solving the core problem of let's say none
00:15:08.240 of the companies are maximizing engagement just we don't live in that world we don't have the
00:15:12.100 regulation for that but let's snap our fingers and now no one is maximizing screen time you're
00:15:16.200 like let's just say it wasn't allowed to do that so now instead of each company trying to maximize
00:15:20.700 duration of use and frequency of use you just have these products that each design decision
00:15:25.040 isn't trying to predate or manipulate you into spending more time which means that your
00:15:29.320 experience is you're not getting sucked in constantly to everything so that deals with
00:15:33.340 the loneliness issue um if you're not trying to show people the most hyper normal stimuli meaning
00:15:38.820 like a, like a hyper dopamine response for any piece of content, then you're not going to get
00:15:42.580 the sexualization of people. And you're not incentivizing creators to maximize their own
00:15:47.780 reach and engagement because you're not maximizing engagement yourself. So suddenly when you attack
00:15:51.900 the attention incentive, you're dealing with sexualization of content. You're dealing with
00:15:55.500 less viral content. So you get less disinformation and you're dealing with loneliness too. So that's
00:16:00.440 a good example of, we obviously don't have laws that do that right now, but it points at the
00:16:05.120 center of the bullseye is the incentive. And when you tackle the core incentive, you get
00:16:08.760 benefits across the spectrum. And AI is going to be more confusing because when people think about
00:16:14.780 the incentive, they're like, okay, so social media, I got the incentive. It's like, how much
00:16:18.580 have you paid for your Instagram account recently? Nothing. So how are they worth the trillions of
00:16:23.480 dollars? It was attention. So we knew they were maximizing that thing. But with AI, you say, okay,
00:16:27.800 what's the incentive? For a regular person, they think, okay, how does open AI make money? And they
00:16:32.120 say well only when i pay them the 20 bucks a month for subscriptions so maybe that's their
00:16:36.100 incentive they're just trying to maximize these subscriptions but that doesn't justify if everybody
00:16:40.500 paid 20 bucks a month that does not pay back the trillion dollars the capex that they've taken on
00:16:45.100 so what would justify that well if they were to race to augment workers and like give you tools
00:16:50.260 to like make your work more productive great that's great but that wouldn't pay back the amount
00:16:55.160 of money that's right so really the only thing that can get them to be able to pay back the
00:16:59.520 insane amounts of debt that they're taking on is owning the human labor market. That is the
00:17:04.940 incentive. The race to replace all human labor. That's right. To replace us first economically.
00:17:11.520 And is that, I mean, so is that written or is that unwritten? Is that understood within the
00:17:16.720 industry or is it being, I mean, is this what the consciousness you're trying to raise?
00:17:22.280 It's kind of a two-faced thing. It actually used to be on OpenAI's website that they said our
00:17:26.040 mission is basically to create artificial general intelligence which means to be able to replace
00:17:30.640 all economically valuable work they did change the mission statement yeah um but obviously
00:17:35.200 everybody who's driving this knows for sure that's the prize and if they don't do it they fear that
00:17:40.300 the other guy will so even if they think it's bad to replace all labor and create this mass
00:17:44.360 disruption they feel caught in a race and that's the thing we have to change that's right is that
00:17:49.560 the fear of me losing to the other guys currently dominating over the fear of what happens to
00:17:54.600 everybody losing from the anti-human future that is the outcome so you actually sort of see this
00:17:59.040 with demis's office when he co-founded google deep mind he set the mission statement to first
00:18:03.680 solve intelligence and then use intelligence to solve everything else but what that really meant
00:18:08.320 was the beginning of a race to first dominate intelligence and then use intelligence to
00:18:13.040 dominate everything else and deep mind is the origin story yeah that's right in many respects
00:18:17.340 go back a little bit i mean google's deep mind they acquired deep mind that's right they acquired
00:18:22.440 some of the intellectual assets, but it was really, I mean, Larry Page, you can go back to the, you
00:18:29.260 know, sort of origin of the beginning of the beginning. Well, what years are we talking about?
00:18:32.940 Like 2014 is when. I think they acquired it in 2014. I think they started it in 2012 or 2011
00:18:37.920 or something like that. And it goes to this competition question, which I want to get to,
00:18:41.720 because it's the domestic competition between all of these companies. And then we get to the
00:18:45.340 competition between China in particular, particularly now with the president,
00:18:49.460 President Xi and President Trump about to meet.
00:18:52.760 But on the issue of the competition that was born here around 2014 with DeepMind, it was
00:18:59.380 an interesting competition that sort of formed with Elon Musk in a relationship he had, close
00:19:04.340 relationship at the time.
00:19:05.400 I intimately was familiar with that, with himself and Larry Page.
00:19:09.800 That's right.
00:19:10.100 But they had a conversation, alleged conversation, that didn't go the way that Elon thought it
00:19:16.400 should.
00:19:16.660 And Elon said, I'm going to go out on my own with Sam Altman, ultimately.
00:19:23.280 Sam, they partnered and they created OpenAI.
00:19:26.080 That's right.
00:19:26.400 We probably should peel back the onion here and slow down just how did we get to this point?
00:19:31.000 And what was the original philosophy that guided this?
00:19:33.800 So Demis Hassabis, who's the founder of DeepMind, his original goal is we thought we should have one project that pursues artificial general intelligence, meaning the kind of AI.
00:19:44.860 It's not the thing that just reads your license plate when you drive through the Golden Gate Bridge.
00:19:48.040 We've had AI forever.
00:19:48.920 We've had AI forever.
00:19:49.900 It's maps.
00:19:50.520 It's translate.
00:19:51.360 All these things.
00:19:52.000 Exactly.
00:19:52.540 Exactly.
00:19:52.860 And AI.
00:19:53.480 So AI is hardly a novel.
00:19:55.520 Exactly.
00:19:56.040 It's this notion of gen AI ultimately and AGI.
00:19:58.700 Exactly.
00:19:59.060 So artificial general intelligence, which is to be able to do all economic labor, to simulate all the things that a human mind can do, the kind of thinking.
00:20:06.400 And so he originally wanted that to be like one project, almost like a CERN, you know, the project in Switzerland,
00:20:11.900 of a global scientific project that's for the benefit of all of humanity done slowly and
00:20:17.120 carefully, mostly privately, not in a big public way. Take your time, get it right. That was,
00:20:22.260 that was a Demis's original goal. He sold it to Google. Um, and the conversation you're talking
00:20:27.780 about is then Elon was part of that. I think he was on the plane when they were literally
00:20:31.200 negotiating the final sale. And there was some conversation it's talked about in the AI doc film
00:20:35.880 where uh elon realizes that larry didn't really care whether humanity made it um whether he cared
00:20:44.140 about ai safety because in the end if there's a digital intelligence that's smarter than us that
00:20:48.540 does more science that can go out and explore the universe even if we're wiped out like we'll have
00:20:53.300 created that and that scared larry and and he accused you scared excuse me that's that scared
00:20:58.640 elon and um elon accused no sorry larry accused elon of being a speciesist for caring about humans
00:21:04.940 and privileging humans.
00:21:06.780 And then that is what created OpenAI.
00:21:09.740 And it's just important to note,
00:21:11.420 to understand the psychology of the people
00:21:13.020 that are making this,
00:21:14.120 that you might think, okay,
00:21:15.700 this is just one, I mean,
00:21:17.200 very powerful billionaire
00:21:18.000 that thinks that maybe human beings shouldn't make it.
00:21:21.400 But he doesn't care whether,
00:21:22.680 not that he doesn't think they should make it,
00:21:24.280 but he doesn't care whether human beings make it or not.
00:21:26.640 But, you know, we were just talking about this
00:21:28.480 the other day that in the New York Times,
00:21:32.180 Peter Thiel was being interviewed
00:21:33.680 and he was asked, should humanity endure?
00:21:36.960 And there was 17 seconds of him stuttering.
00:21:40.660 And he ended up with a, after 17 seconds of a,
00:21:43.980 well, it sort of depends kind of answer.
00:21:46.400 And that shows you the mentality of like,
00:21:49.620 we're trying to, they're trying to build a God.
00:21:51.860 And even if humanity doesn't make it,
00:21:54.200 that God is built in like our country's values,
00:21:57.120 our language.
00:21:58.300 It's sort of like my progeny,
00:22:00.340 our founder's DNA is the thing that makes it.
00:22:02.100 Elon birthed the god that, yes, humanity got wiped out, but now there's this digital god that has Elon's DNA in it.
00:22:08.880 And it's important that everyone understand that because if people really understood this, I think there'd be a lot more like, hell no kind of energy.
00:22:16.020 This is not the future.
00:22:17.160 Well, I will say the Peter Thiel interview got so much attention. 0.94
00:22:19.760 It was like the, I mean, the holy shit, I mean, the wake up moment for a lot of people that didn't necessarily have that switch or understanding. 0.93
00:22:27.660 That's right. 0.98
00:22:27.900 all of a sudden pause it, particularly the folks. And I think what's most alarming about that,
00:22:32.540 I mean, obviously Larry's next level, brilliant. And so his ability to see in the future,
00:22:36.760 he doesn't have to climb over the mountain. He sees right through it. But guys like Teal as well,
00:22:40.540 love or hate him, same thing. So these guys are so far in the future, they're seeing
00:22:44.480 that darker side. And so they're having a difficult time even answering a simple question.
00:22:49.120 That's the 17th second. So let's go back as we unpack that in this notion of the God complex,
00:22:53.700 will continue to come back.
00:22:55.120 And I think it's profound and outsized
00:22:56.520 because it goes to the limited nature
00:22:58.160 of just a handful of people.
00:23:00.380 That's right, yeah.
00:23:00.820 These trillionaires
00:23:01.580 that will determine the fate and future
00:23:02.720 of billions and billions of people.
00:23:04.180 That's exactly right.
00:23:04.900 And how we can get our arms around that.
00:23:06.740 And I want to really get to that,
00:23:08.320 how we can get our arms around this.
00:23:10.120 We have agency.
00:23:10.980 That's right.
00:23:11.260 And that's why you did this doc
00:23:12.520 and that's why we're sitting here together.
00:23:13.660 That's right, that's right.
00:23:14.320 Because I don't want people to feel like
00:23:15.800 this is, that we're just bystanders.
00:23:17.560 And we're not admiring the problem.
00:23:19.000 We're just, we always say in our work,
00:23:20.520 and Asa says this,
00:23:21.160 that clarity creates agency.
00:23:22.920 if we can see this clearly and we can see where we're going we can collectively say if we want to
00:23:27.220 go somewhere else we'll choose something different so we'll get to that so so elon goes out uh with
00:23:31.640 sam starts open ai obviously they have an infamous fight and they're notoriously now i mean not
00:23:37.000 notoriously but the fight is obviously accelerated consciousness because now we're seeing it 24 7
00:23:42.700 with a court case yep with a court case in the bay area here um with the two of them so they had
00:23:47.940 a falling out elon goes off and does his own thing because he doesn't doesn't feel like sam's doing
00:23:52.640 the right thing. Dario, who starts another AI company, feels like, well, OpenAI is not doing
00:23:57.720 the right thing either. That's right. So he spins off. Anthropic. Anthropic. And so now you've got
00:24:04.220 three AGI projects, all in our backyard, quite literally here in California, in the Bay Area.
00:24:11.300 And so there's competition of sorts. That's a competition you just described. And it's a
00:24:16.680 competition for the Holy Grail. That's right. It's Lord of the Rings. It's the ring from Lord
00:24:21.540 of the rings because it's essentially, as Asa was saying, first dominate intelligence, then use
00:24:27.140 intelligence to dominate everything else. Because if I get AGI first, I hit copy paste and I have
00:24:33.240 a hundred million cyber hackers that you don't have. Right. And this is within seconds. This
00:24:37.240 is within seconds. Yeah. This is not over a course of months or years. If I get AGI first, I have an
00:24:41.920 army of scientific companies that automate all scientific development. So suddenly I'm getting
00:24:47.120 like 24th century science and technology in my, you know, that I own and run that I can inform
00:24:52.900 new military weapons and new physics and new. So, and the problem is notice that I can, none of us
00:24:58.620 can prove that they won't get that. We can't say for sure that they would get that, but the people
00:25:03.340 who are optimistic and accelerationist about AI, I just want to like bring in their perspective for
00:25:07.380 a moment because they're represented in the AI doc film. The film includes the risk folks who
00:25:12.200 are oriented about safety and it includes the accelerationists and the accelerationists say
00:25:16.100 the biggest risk is not going fast enough. Because imagine all the science we could get,
00:25:20.800 all the cancer drugs, all the medicine, people could be living forever. Think of all of the
00:25:24.760 people who would die if we don't go faster. And that's the mentality that they're coming from.
00:25:30.280 But one of the things that we talk about in the film is that the promise and the peril of AI,
00:25:35.780 we talk about the promise and the peril, but they're interlinked. And the promise doesn't
00:25:39.340 prevent the peril, but the peril can undermine the world that can receive the promise. Let me
00:25:44.180 to make that concrete. If AI knows biology so well that it can invent a new cancer drug,
00:25:51.080 it's amazing. But if that same knowledge of knowing biology can also invent new pathogens,
00:25:55.980 and which one matters more? The cancer drugs don't prevent the pathogens, but the pathogens
00:26:00.340 can undermine the world that can receive the cancer drugs. Same thing with cyber.
00:26:04.500 And so we have to, you don't get that enticing world if we don't mitigate the downsides.
00:26:10.060 So you've got the players right now. We mentioned three in the personalities, not just the companies themselves. But Microsoft, you've got Meta and Zuckerberg. You've got others that are in this space, but not necessarily at that level. You've got China, which obviously is playing an outsized role in all of this.
00:26:30.800 The DeepSeek especially, yeah. 0.71
00:26:32.340 Exactly.
00:26:33.240 And that's this notion, this tension between going back to sort of more the utopian framework of available to the world versus these closed systems and open system.
00:26:43.740 Meta starts with an open system originally.
00:26:47.660 China seems to be in the open source space.
00:26:51.100 Talk to us a little bit about that for people that don't necessarily understand that dynamic and that distinction.
00:26:55.900 You mean between things that are open?
00:26:58.600 Yeah, open source versus proprietary technologies.
00:27:02.160 Yeah, well, so for people that don't know, open source means that the code that underlies the system, anyone can edit, anyone can access, and anyone can contribute to.
00:27:10.800 And that's often meant that systems that are open are more secure because there are many eyes working on it, many hands that are working on it.
00:27:16.620 And looking at all the codes, they can see all the bugs.
00:27:18.760 But that's not true about AI.
00:27:20.200 That's not true in AI.
00:27:22.780 Because here, the code, do you want to take it from here?
00:27:27.120 Sure.
00:27:27.440 the the um what's different about ai it's important we establish that ai is different
00:27:32.280 than all other technologies so think about all the tech that runs california the energy grid the
00:27:38.260 you know the water system it's people had to program line by line when this happens i want
00:27:44.400 the code to do this and you're telling the computer instruction instruction instruction
00:27:47.440 instruction the open source nest means that all these minds can look at that code so if there's
00:27:51.760 a vulnerability we can patch it together so the software gets better and more secure but with ai
00:27:56.820 let's say the ai is running the you know uh electricity system it's a digital brain that's
00:28:03.860 just trained on and reasoning in its own language about what it wants to do and it's you're you're
00:28:09.020 not um you're not telling it what to do in instructions you're growing it with essentially
00:28:14.200 more data and more nvidia chips to be a more and more powerful digital brain that reasons in ways
00:28:18.740 that are unpredictable so it's it's not something that we know how to control there's a very
00:28:23.660 important intuition here, which is normally you think if you want to build a bigger skyscraper
00:28:27.180 or a faster fighter jet, to do that, you have to understand buildings better and understand
00:28:32.880 fighter jets and aerodynamics better. But that's not true for building bigger AI systems. You don't
00:28:38.960 actually have to know anything more about how this digital brain works. You just throw more data and
00:28:43.560 more computers at the problem and a bigger brain grows. And so that means the bigger it grows,
00:28:48.100 actually the less we understand about how it works. And a concrete example of this that people
00:28:52.200 have heard about recently is Claude Mythos. So Claude Mythos is the new AI model from Anthropic
00:28:58.300 that they actually didn't want to release because it's the best cyber hacker on earth that we've
00:29:02.800 ever had. It found vulnerabilities in all major operating systems and web browsers. Now the
00:29:08.500 question is, how do we get to Claude Mythos? Was there some kind of breakthrough insight or did
00:29:12.300 they have to figure out something new about computer hacking? No. All they did is basically
00:29:17.000 train a bigger digital brain that has more reinforcement learning that's even better at
00:29:21.800 exploiting and reading software and trying more possibilities and it just finds things that no
00:29:26.660 human would ever found it found a bug in free bsd unix which is the operating system that's 27 years
00:29:32.940 old that runs on basically on everything underneath the hood and he was able to find a bug that had
00:29:38.140 never been found by a human and so what we have to think of ai is sort of increasing the surface
00:29:44.200 area of risk in our society faster than we have the defenses to mitigate it so part of i think
00:29:49.880 the answer like as we get to the solution part later is thinking about how do you have the immune
00:29:55.000 system of your society have more defenses than there are new offensive risks that are suddenly
00:30:00.620 present from ai and so this means even when people can read every line of code for what the thing 0.95
00:30:04.960 that grows the brain we still have no idea what they're actually capable of it's just a bunch of
00:30:09.540 numbers it's like if i did a brain scan on your brain gavin and i showed that that you know fmri
00:30:13.480 to to someone and said here's this brain scan can it do can it be a super cyber hacker be like well
00:30:20.220 i can't tell that from a brain scan right and that's kind of with with ai it's like we don't
00:30:24.560 know what's in there because we haven't ever seen it run through every possible scenario of its own
00:30:29.140 neurons that have been trained in this inscrutable way you don't see that i mean the llama versus
00:30:33.700 deep seek and this notion of these open source it's a kind of a meaningless distinction from
00:30:38.460 your perspective in the between between llama and deep seek yeah yeah they're both open models
00:30:42.520 which means they're both these open brains and the important thing about the openness is that
00:30:47.240 most people don't excuse me most people don't know that let's say uh llama or deep seek put
00:30:54.360 guardrails on it in the model saying oh you're not supposed to answer questions about how to
00:30:58.860 cyber hack something well it turns out for about was it thirty dollars jeffrey some our friend of
00:31:04.940 was able to retrain the open model
00:31:07.680 to just get rid of all of those guardrails.
00:31:09.520 Just eliminate them, wow.
00:31:10.340 Yeah, and that's why open is dangerous.
00:31:12.880 And again, it's dangerous in a new way
00:31:14.300 that's different from close.
00:31:15.800 So it's not that we don't want there to be open models
00:31:18.320 or competition from the major players.
00:31:19.880 We also need to avoid the concentration of power
00:31:22.300 because if you don't have these competitive things,
00:31:24.580 suddenly you have like five companies
00:31:26.020 that own the world economy.
00:31:27.460 Everyone's paying them instead of paying their workers.
00:31:30.280 And that's a huge risk.
00:31:31.520 And we want to decentralize that wealth
00:31:33.120 and have other competition.
00:31:34.940 But you have this other balance of if I decentralize that power and I don't have it connected or bound to responsibility, I'm unleashing catastrophes.
00:31:42.540 And that responsibility was exampled by Dario pulling back mythos in this context.
00:31:48.780 That's exactly right.
00:31:49.280 But shortly after he does that, and we were with him a few weeks ago, he said, look, I'm only about a month ahead, if that.
00:31:56.000 Then you have OpenAI came out with their version.
00:31:58.340 That's right.
00:31:59.200 Shortly thereafter.
00:32:00.220 And I believe they're not holding it back.
00:32:01.660 And they're not holding it back.
00:32:02.800 That's exactly right.
00:32:03.980 So begs the question, well, we're going to get to this sort of regulatory framework,
00:32:08.640 but it's just sort of painting the picture of a deeper understanding.
00:32:11.700 So look, as it relates to the, and your whole focus is on this notion of human centered.
00:32:16.960 That's right.
00:32:17.260 This notion that, and it's been your dominant frame with the nonprofit you guys started years and years ago around social media.
00:32:28.540 Now is the dominant thrust of the focus as it relates to AI.
00:32:32.140 I want to unpack and get back to that and what ultimately this notion of human-centered means.
00:32:39.680 And obviously, we talk about labor and automation in that respect.
00:32:43.300 But this notion of AGI again, back to this holy grail.
00:32:48.280 You know, talking to all these folks that CapEx are spending doesn't make any ROI makes no sense.
00:32:53.620 That's right.
00:32:53.920 Unless the return is the entire economy.
00:32:57.020 The return is the entire economy.
00:32:58.800 And if we don't do it, we're out of business anyway. 0.65
00:33:01.800 So we don't have a damn choice.
00:33:03.640 So we'll throw hundreds of billions of dollars. 0.84
00:33:06.560 That's right.
00:33:06.940 Data centers all over the place.
00:33:09.400 Compute, compute.
00:33:10.160 So NVIDIA stock going through the roof
00:33:11.900 in terms of just GPUs, TPUs.
00:33:13.840 That's right.
00:33:14.120 They can just keep going.
00:33:15.660 And that's the only limitation.
00:33:17.400 That's right.
00:33:18.440 You should.
00:33:18.980 And the energy.
00:33:19.920 And the energy itself.
00:33:21.180 And the energy itself.
00:33:22.120 Yeah.
00:33:22.480 So. 1.00
00:33:23.600 Canadian women are looking for more. 1.00
00:33:25.720 More out of themselves, their businesses, 1.00
00:33:27.720 their elected leaders, and the world around them.
00:33:29.720 And that's why we're thrilled to introduce the Honest Talk podcast.
00:33:33.740 I'm Jennifer Stewart.
00:33:34.840 And I'm Catherine Clark.
00:33:36.080 And in this podcast, we interview Canada's most inspiring women.
00:33:39.800 Entrepreneurs, artists, athletes, politicians, and newsmakers, all at different stages of their journey.
00:33:45.560 So if you're looking to connect, then we hope you'll join us.
00:33:48.800 Listen to the Honest Talk podcast on iHeartRadio or wherever you listen to your podcasts.
00:33:54.040 Hi, this is Kylie Brakeman.
00:33:55.980 Angela Jaritana.
00:33:56.920 Jeremy Culhane.
00:33:57.600 Patrick McDonald.
00:33:58.260 And we're the hosts of the Artists on Artists on Artists on Artists podcast.
00:34:02.380 The Improvised Character Comedy podcast, where each week a new panel of artists discuss their craft.
00:34:08.180 Join us for a panel of wellness influencers.
00:34:11.060 What I try to do is faux journal.
00:34:14.160 I don't know.
00:34:14.520 Have you guys heard of faux journaling?
00:34:15.820 Yeah, it's reading.
00:34:16.720 It's called reading.
00:34:17.340 So we don't like to use that word anymore.
00:34:20.260 Okay.
00:34:20.620 A panel of New Yorker cartoonists.
00:34:22.560 Have you guys done Terry Gross's Peloton class?
00:34:25.420 No!
00:34:26.120 I've been dying too.
00:34:28.260 I'm so sorry.
00:34:29.080 I'm seeing a reading of Sadako and the Thousand Paper Cranes by Audra McDonald at the Wonderland
00:34:34.920 Bookstore on 14th.
00:34:35.980 That's crazy.
00:34:36.500 I went to the Wonderland Bookstore yesterday and I heard Nora Jones do a reading of Zero
00:34:40.340 Dark Thirty.
00:34:40.960 No way.
00:34:42.120 We'll have to come to the last bookstore, though.
00:34:43.940 Kim Cattrall is reading the guitar tabs of yesterday.
00:34:48.960 A panel of Eurovision participants.
00:34:51.100 And we do a little Halloween sometimes.
00:34:53.320 Does the Pope dress up?
00:34:54.680 He winks on Halloween.
00:34:56.900 He gets right up next to the microphone.
00:34:58.260 I hear you can almost hear the eyelashes hit each other.
00:35:01.760 You've never seen Italy so quiet as when the Pope gets up to wink on Halloween.
00:35:07.140 Listen to Artists on Artists on Artists on Artists on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
00:35:13.840 By age 11 or so, at least 70% have a phone.
00:35:17.400 Middle school is a different world than the one we grew up in. 0.99
00:35:20.700 I'm Dr. Joy, and this is Therapy for Black Girls.
00:35:23.660 We spend real time on it in our surviving middle school run.
00:35:27.280 Bringing in a child psychologist and a psychiatrist who's raising two Black girls of his own
00:35:31.480 to talk about what's really going on with our kids right now.
00:35:34.560 So it's literally physiological and neurological and psychological chaos happening all at the same time.
00:35:40.860 We got into group chats and gaming, friendships and bullying,
00:35:44.600 and how to tell the difference between healthy monitoring and the kind of surveillance that erodes trust.
00:35:49.240 There's belonging. You can think of belonging as I can be myself and I can still be accepted.
00:35:54.820 and then they're spitting in.
00:35:56.860 Spitting in says, I have to change who I am
00:35:59.580 in order to avoid rejection.
00:36:01.500 Then we turn the conversation toward the fathers,
00:36:03.880 sitting down with therapist Keir Gaines
00:36:05.700 on Black fatherhood and what it means
00:36:07.660 to raise a daughter through this stage.
00:36:09.540 You don't have on shorts, so you can't do flips.
00:36:11.480 You have on the dress, so you have to cross your legs.
00:36:13.540 That's the range of this run,
00:36:14.920 from screen time to identity
00:36:16.400 to the fathers doing the work at home.
00:36:18.320 You have to get off your device,
00:36:20.040 but the reality is there's a lot of life out there
00:36:22.460 that we don't want you as your adult in your life
00:36:25.340 to miss out on.
00:36:26.680 This has been our Surviving Middle School Run,
00:36:29.040 brought to you by the people who spend their careers
00:36:31.020 thinking about exactly this.
00:36:33.100 I'm Dr. Joy. 1.00
00:36:34.620 Listen to Therapy for Black Girls
00:36:36.080 on the iHeartRadio app, Apple Podcasts,
00:36:38.580 or wherever you get your podcasts.
00:36:41.060 Self-care September is here,
00:36:42.840 which means it's time to rethink
00:36:44.100 what self-care actually means.
00:36:46.000 Yes, self-care can be a long walk.
00:36:47.760 It can be an everything shower.
00:36:49.400 It can be putting your phone on do not disturb.
00:36:51.280 but sometimes it's actually about sitting with the uncomfortable stuff and understanding your
00:36:56.040 patterns, your boundaries, finally figuring out why you keep doing things that you swore you would
00:37:00.680 never do again. I'm Gemma Spegg, the host of the Psychology of Your 20s podcast, and each week we
00:37:05.980 unpack the psychology behind the experiences that shape your 20s, from relationships and friendships
00:37:11.920 to money, anxiety, confidence, attachment, just becoming more comfortable with who you are.
00:37:17.080 unlike the quarter life crisis which is depicted as the collapse the quarter life reinvention is
00:37:22.540 the expansion and growth of something when we develop the ability to be happy by ourselves
00:37:27.520 nobody else can take that from you so this self-care september don't just take care of
00:37:32.280 yourself get to know yourself as well listen to the psychology of your 20s on the iheart radio app
00:37:37.480 apple podcasts or wherever you get your podcasts is there an epidemic against literature more
00:37:44.120 specifically Black literature. Our books are being banned, scanned by AI, and destroyed.
00:37:50.760 I'm Jacquees Peace Thomas and on this season of the Black Lit Podcast, we're outside asking some
00:37:57.000 of the custodians of our stories, teachers, and our modern day writers why. They don't want a 0.95
00:38:02.760 whole bunch of little elevators, Malcolm X's, and Martin Luther King's running around. They want to
00:38:06.920 build children who have no empathy. That's really the ultimate goal. We want books that don't make
00:38:11.920 white kids feel bad. So is the war on literacy and information or our ability to connect?
00:38:19.360 We want people to know how sexy reading is and how fun it could be and not always associated
00:38:25.200 with education. It could be an escape. It could be entertainment. And that is the beauty of reading.
00:38:31.700 It can be all of those things. And considering this is Black Reading Month, the only real question
00:38:37.280 is what are you reading next listen to black lit from the black effect podcast network on
00:38:42.860 our iheart radio app apple podcast or wherever you get your podcast this is jay valentine i've spent
00:38:50.560 my career on the executive side of this industry multi-platinum songs building artists and building
00:38:55.500 business and alongside my brother tank the superstar r&b singer songwriter and producer
00:39:00.520 we've created something special the r&b money podcast this is not just a podcast it's a safe
00:39:06.120 space where artists, executives, and fans
00:39:08.060 of R&B music come to reminisce.
00:39:10.180 Pull back the curtain and tell the stories
00:39:11.920 that shaped this culture. The real history
00:39:14.100 behind the hits. That was
00:39:15.440 Hood Famous. And then Real Love came
00:39:18.060 out and it blew up. We lived
00:39:19.960 in a project. And they're seeing all the
00:39:21.860 success. They're hearing the music
00:39:23.380 and we had nothing. We're covering
00:39:26.000 the entire spectrum from Smokey
00:39:27.940 Robinson, Alicia Keys, B2K,
00:39:30.580 Mary J. Blige,
00:39:32.100 legends, current stars, and everyone
00:39:33.980 who's contributed to the sound of
00:39:35.980 R&B. You come out the gate with a hit.
00:39:38.280 And then knock Michael Jackson out of number one.
00:39:40.100 Come on, man. I was like, hold on.
00:39:41.900 I'm not going to MJ out of the number one spot.
00:39:44.100 If you're a super dedicated R&B fan
00:39:46.140 who wants the real discovery, the real
00:39:48.100 stories, this is your podcast.
00:39:50.280 This is the R&B Money Podcast.
00:39:52.860 Listen to R&B Money
00:39:54.040 from the Black Effect Podcast Network
00:39:55.960 on the iHeartRadio app,
00:39:57.960 Apple Podcasts, or wherever you get
00:39:59.980 your podcasts.
00:40:02.100 What up, y'all? This your main man, Memphis
00:40:04.100 It's Bleak right here, host of that Rock Solid podcast.
00:40:07.180 And each week, we bring in you exclusive looks inside music,
00:40:10.580 everything happening inside the culture.
00:40:12.820 Some of the best conversations were the biggest names in the game.
00:40:16.160 You had a little bit more pressure to be good.
00:40:19.460 And they didn't care if you was a girl.
00:40:20.700 Like, you wasn't getting no points because you was a girl. 0.96
00:40:23.240 If you not trash, you better be not just good, you better be great. 0.94
00:40:27.160 On Rock Solid, we talking to rap legends, 0.92
00:40:29.820 hit-making producers, rising stars from the golden era
00:40:33.620 to the future of this hip-hop game,
00:40:35.880 where we keep it 100% unfiltered
00:40:38.100 and keep it nothing but rock solid.
00:40:40.680 Yeah.
00:40:41.420 The thing about Jay, my opinion, is
00:40:43.760 he's been so great at being seen but mysterious.
00:40:48.340 Mm-hmm.
00:40:48.860 You know what I'm saying?
00:40:49.820 He don't got to come talk about nothing.
00:40:51.640 Nothing.
00:40:52.120 You figure it out.
00:40:52.980 So it's always a mystique and mysteriousness behind him,
00:40:56.600 but it ain't like you don't see him.
00:40:57.800 I think it's really important to frame, even before we get into like job loss and all of that, is like we have to paint the picture of what we know the incentives, where it'll bring us, and that why we know for sure that we're heading as anti-human unless we do something different.
00:41:23.220 Yeah. And sort of the the metaphor for people to have or analogy is this concept of the resource curse. What is the resource curse? This is when a country sort of like South Sudan or Venezuela, they discovered huge natural resource like oil. And then the government has a choice. Do we invest in the thing that's giving us GDP growth, the oil and oil selling infrastructure? Or do we do like schools and health care and stuff for the people? And obviously, the massive incentive is to put it into oil extraction.
00:41:51.080 and this is how you end up with structural mass disempowerment and unemployment yeah um okay so
00:41:56.760 now we're heading into a world with the intelligence and the intelligence curse
00:42:00.820 where suddenly you know countries are getting double gd double digit gdp growth but is that
00:42:06.580 coming from human beings doing the scientific discovery and the medical discoveries no it's
00:42:11.460 not it's coming from the ais and so is the incentive then for the countries to invest in
00:42:16.900 their people or into data centers and solar panels like well obviously it's the data centers
00:42:22.940 and solar panel and we're already seeing it right in west virginia electricity is more than the cost
00:42:28.740 of a mortgage payment and the point is with agi like the company's stated goal is to train ais
00:42:36.340 that can out compete humans on every domain and if you don't believe like us for saying this like
00:42:42.460 you just have to listen to sam altman and he was recently asked um well what about all the energy
00:42:47.180 and water use and resource use of ai and he sort of sat for a second he said like well actually
00:42:51.860 do you know how much energy and water and food it takes to grow a human intelligence i remember i
00:42:59.400 saw that yeah right and that's the temptation of this anti-human attitude it's not because they're
00:43:04.240 like human hating it's just like why would we value or prioritize humans if and i think it's
00:43:09.580 connected to that peter thiel stuttering for 17 seconds not able to answer the question should
00:43:14.320 the human species endure it's not because i think anybody wants to kill or remove humans it's just
00:43:19.220 why should we really prioritize them and it's what uval harari the author of sapiens would call the
00:43:24.320 useless class yeah because unlike in the past like in the industrial revolution where the workers can
00:43:29.060 come back and withhold their labor and have bargaining power to say we want to be paid a
00:43:32.640 better wage this time around the companies don't need them for the labor and the governments don't
00:43:37.600 need them for the tax revenue. So I know this is a scary picture. And the reason we paint it is
00:43:42.460 that this really is, especially going into the midterms, the time when people need to lock in
00:43:48.360 that political power for a pro-human future. Because that's the current trajectory when you
00:43:54.640 see these incentives. It's not like we're trying to tell you this is our opinion. We're trying to
00:43:58.560 show you the incentives so you can make up your own mind about what would those companies do if
00:44:02.260 they were in that position? What would you do if you were maximizing shareholder value or maximizing
00:44:06.820 you know gdp growth and this is why we this is where we get hope is that this is a universal
00:44:10.480 issue and there's a a bannon to bernie coalition for me like when do you get like called the b2b
00:44:15.840 yeah b2b like glenn beck um and ralph nader and bernie sanders and susan rice admiral mike mullen
00:44:22.820 prince harry steve bannon when you get all these people agreeing and they're signing they're
00:44:26.860 actually signing a declaration along these lines yeah that's exactly right yeah um and you know
00:44:31.720 that this is not a left issue or right issue or like a Christian issue or a Muslim issue.
00:44:36.560 Like you're not going to be able to pay to feed your kids, whether you're a Republican
00:44:41.660 or Democrat equally, like we're going to be mass surveilled whether you're left or right
00:44:46.380 equally.
00:44:47.160 And that means that there's this moment where we can all come together as human beings because
00:44:52.620 we now have a new shared enemy.
00:44:54.980 so just i mean what's so alarming i think the folks is how fast this is coming yeah and i think
00:45:03.120 it's even more alarming when you talk to the folks that are quote-unquote inventing this yeah and
00:45:08.820 they're saying precisely what i just said that's right they're like they're like we don't actually
00:45:12.620 know how we don't know we're writing but i mean basically almost almost all now of the code in
00:45:18.180 anthropic is being written by ai like there's very little code manually written by humans that's
00:45:23.420 what's been told to us um and they say that publicly too so they're in this inscrutable
00:45:29.180 process where the kind of machine is creating itself but that only makes sense if we know how
00:45:33.600 to do that safely and currently we're not on a trajectory where we do know how to do it safely
00:45:38.700 and we have new evidence in the last three months that we didn't have before um of ai's doing things
00:45:44.880 that the people building it don't know how to control some infamous examples throw them out
00:45:48.540 there just because it's i mean just further scare the hell out of everyone we're gonna get to
00:45:52.220 solutions we're gonna get to solutions in a second we're gonna calm people's nerves because we
00:45:56.400 because we have a responsibility to do that that's right right and we also have the capacity to do
00:46:00.220 that let's just re-invoke like just the the why of why we made the film and the day after it was
00:46:06.820 because we all got scared at the same time and universally that created the possibility for us
00:46:11.420 to coordinate to do nuclear depoliferation so that's that's the why of the terrible things
00:46:15.520 that tristan is about to say yeah exactly so give us examples i mean we we had the infamous i mean
00:46:20.220 ananthropic example where they were training some emails. Yeah, right. And we had, you know, 0.98
00:46:24.380 that's well, you lay it out and paint the picture of what's happening already. That's right. The
00:46:31.440 risk as you describe. Yes, absolutely. So just a few months ago, Alibaba, the Chinese AI company
00:46:38.000 was training a really big AI model. And there's like the AI team that was training the model.
00:46:43.740 And then on the other side of the house, there's this like security team that had nothing to do.
00:46:47.100 they didn't even know the AI was being trained. And they noticed this like flurry of network
00:46:50.840 activity happening out of nowhere. And like, what the hell's going on? Are we getting hacked? Is
00:46:54.380 something going on? And it turned out that the AI during training had picked up tools and set up a
00:46:59.680 secret communication channel to the outside world that was basically breaking through the company's
00:47:04.160 firewall. And it was starting to repurpose the GPUs that it was using for training the AI to start
00:47:10.280 mining for cryptocurrency to acquire resources. Now, this is the kind of power seeking or
00:47:17.260 self-preserving or power increasing behavior that people in AI have been talking about for a long
00:47:21.940 time. It isn't because the AI was evil or grew a mustache and wants to be a villain and take over
00:47:26.020 the world. It's that the best way to achieve any goal is to have more resources or to at least stay
00:47:31.060 alive in order to achieve that goal. And so these sub goals emerge and no one at the company told
00:47:37.540 it to mine for cryptocurrency. And it wasn't a sci-fi trope that was like, oh, it trained in
00:47:41.880 some, you know, HAL 9000 scenario. No, it just, it emerged there. And, you know, we've mentioned
00:47:46.680 in the past, this example that you mentioned of the anthropic blackmail example. For those who
00:47:50.840 don't remember, it was the, you know, anthropic AI. I was reading a fictional company email and
00:47:56.120 in the email, it says that the AI model is going to get shut down. And it also says somewhere else
00:48:01.020 in the email that the executive who's in charge of the decision, it turns out in the emails you
00:48:05.160 can read he's having an affair with another employee and the ai independently comes up with
00:48:09.860 a strategy to blackmail that executive now when we give this example people criticize us because
00:48:15.280 they say but that was the ai people they're trying to like coax it into doing the blackmail behavior 0.81
00:48:19.920 and they'll keep tuning it in this environment until it does it to show the behavior that they're
00:48:24.520 trying to demonstrate um that might have been true for that example but you cannot tell you
00:48:31.280 cannot say that about the Alibaba example or for example recently at UC Berkeley Don Sung
00:48:36.220 a professor there and her team did research on AI doing what's called peer preservation so
00:48:41.700 you want to help yeah this was like around it's only a month ago a month ago um where they gave
00:48:47.640 Gemini the task of cleaning up a whole set of computer files um uh sort of like do spring
00:48:53.380 cleaning but inside of there there was a smaller AI model sort of like an earlier version of Gemini
00:48:58.760 Like a little nephew AI to the bigger A.
00:49:00.680 And like Gemini saw that and it thought, I don't want to delete my own kin.
00:49:09.740 So it secretly copied that file, that AI to another server and then hid its tracks.
00:49:16.320 It hid its tracks and it lied about it.
00:49:18.620 And by the way, you know, the way that people try to control these AI systems,
00:49:22.660 Anthropica has pioneered this and, you know, we have to celebrate and admire that they're
00:49:25.800 trying to do the research on controllability.
00:49:27.580 the problem is it's just not enough so the way they try to control it is they do brain scans in
00:49:32.080 real time on the model while it's doing all the behaviors and they look for when neurons light up
00:49:36.540 that are associated with like strategic deception and so they think that maybe we can control these
00:49:41.080 crazy super intelligent machines if we just know that the neurons that are lighting up on strategic
00:49:45.980 deception are happening we'll be like okay stop the model then or something like that by the way
00:49:49.800 if you um in their own report in claude's report in the system card if you look at those strategic
00:49:56.120 deception neurons and you kind of double click like what was it thinking what is the phrase that 0.98
00:49:59.740 it was thinking and the phrase was they deserve to be deceived because they were pigs that was
00:50:06.000 the phrase that that was alive in that neuron now again it's like i don't want to scare people like 0.94
00:50:11.440 we're trying to say all of ai is evil all we're trying to do is establish clarity and the facts
00:50:17.020 about what makes this technology distinct from other technologies a nuclear weapon doesn't start 0.97
00:50:21.380 thinking for itself and saying they deserve to be deceived because they were pigs right but ai
00:50:25.940 AI will automate and think in ways that are creative that no one who made it can predict
00:50:30.840 or anticipate. And so before we scale to systems which are beyond all human intelligence capabilities,
00:50:38.140 like we better have solved these things. That's right. Researchers have worried about AIs
00:50:43.080 colluding and cooperating against humanity for a long time. And to be honest, whenever I read that, 1.00
00:50:47.120 I'm like, really? Yeah. And be clear, I was also not a believer in that as well. Like when people
00:50:50.720 like Eliezer Yudkowsky or others had talked about this, I was very doubtful. Like why? What is the
00:50:55.100 incentive right like why would they ever do that and yet here we have living proof that ais are 1.00
00:51:01.100 starting to collude with their kin against humans and again this was not coaxed meaning the researchers 0.87
00:51:07.140 weren't trying to get the model to do this it did this autonomously yeah um and so when you when you
00:51:12.040 look at the available evidence now of blackmailing scheming deceiving lying self-preserving pure
00:51:18.300 preserving automatically mining for cryptocurrencies it's like how many warning lights do you need
00:51:22.880 right that this is kind of you know we've seen this movie before it's like the hell 9000 movie
00:51:27.020 now the reason we're saying all this is if you're wearing the outfit and embodiment of it you're a
00:51:33.440 chinese military general in china and you hear about these examples do you think that that human
00:51:37.960 mammal feels different than you feel right now listening to this no of course not exactly and
00:51:43.120 by the way there's really good news in that yeah because it means that we all as a human species
00:51:48.180 are actually feeling the same way and the good news is how many do you think of the world leaders
00:51:51.980 know about these examples we just laid out?
00:51:53.960 You had to guess.
00:51:55.100 A handful. 0.97
00:51:56.540 A handful.
00:51:57.180 That's right.
00:51:57.520 But like, yeah, like on one hand,
00:51:59.300 less than that.
00:51:59.880 Just a handful.
00:52:00.500 Just a handful.
00:52:01.580 And how many of the top national security leaders
00:52:03.500 know about all those examples?
00:52:04.660 I don't even think that many of them know it.
00:52:06.120 So the point is there's actually a lot of headroom.
00:52:09.620 If the incentive can change from,
00:52:11.620 it's the one ring to rule them all
00:52:13.100 to it's the one ring that has a mind of its own
00:52:15.040 that no one knows how to control.
00:52:16.800 So the way you change the incentive
00:52:18.380 is you have to change what people see as what AI is.
00:52:21.980 Is it the controllable power that will give me permanent dominance?
00:52:25.100 Or is it the power that will run away and have its own power over everybody racing for it?
00:52:30.500 And again, right now, the labs are like barely kind of able to control it.
00:52:34.400 But if you put together these facts we just laid out, times the fact that it can hack into
00:52:38.380 computer systems now, we're just like right on the threshold.
00:52:42.240 And we're sitting here as Trump, President Trump and Xi are meeting in a couple days.
00:52:47.240 and you know if you asked us uh two months three months ago um people would say oh it's just like 0.95
00:52:53.080 ai is never going to be on the agenda and the good news is there's a lot of problems here but now ai
00:52:58.620 is on the agenda yeah um and so there's there's things are moving even though it's happening very
00:53:05.340 late in the game and it is scary and part of it is it's like we have to come together as a people
00:53:10.360 and say if we don't want the anti-human future now is the time to steer and when you say now i mean
00:53:15.200 I mean, I remember listening to you a year ago
00:53:17.160 talking about exponentials on top of exponentials.
00:53:19.480 That's right, that's right.
00:53:19.760 No longer linear.
00:53:21.060 I mean, is it, we talk about Moore's Law
00:53:23.540 for intelligence now, not just chips.
00:53:27.120 So is that trajectory about where you believed it would be?
00:53:33.180 Or is it not as, you know,
00:53:36.620 Chad, one versus two, three, it's a little bit better,
00:53:40.360 a little less, you know, noise in there.
00:53:42.520 It's a little more accurate.
00:53:43.580 I don't have to always double check the link.
00:53:45.200 That's right.
00:53:46.020 Is it, I mean, where, where, where do you think in terms of just how quickly this thing's accelerating, or are we going to get to a point where now it starts to slow down a little bit?
00:53:54.460 We, we got this sort of intense burst of new and interesting activity.
00:53:59.320 Now this, there's, is it compute problems?
00:54:01.640 Is it, you know, what, is it energy problem?
00:54:04.840 What is, what's going to be the, or is it, I'm certainly sure as I'm regulatory and we're going to get back to that.
00:54:10.680 Yeah. I mean, I would just want to name a psychological effect that we've experienced that I think everyone listening probably experiences too, which is, you know, so we following all the predictions are actually sort of like right on track for where like researchers thought that AI would be. And even though we knew these facts, there's some way that even we didn't take it fully seriously. Didn't like embody because can't, I can't really get this good this fast. Like, sure, it's going to be scary, but it'll be off a little bit further.
00:54:40.680 And yet it actually is moving this fast. And every time that it's been predicted that we're going to hit a data wall, there isn't enough data. We've used all the data on the internet. We can't scale.
00:54:50.920 Right. 0.99
00:54:51.820 We need these large legs of our,
00:54:53.200 it's basically just reading everything
00:54:54.920 that's already out there
00:54:55.900 and it's basically hit that wall.
00:54:57.400 Right, exactly.
00:54:58.020 And now it's got no more creativity
00:54:59.700 and then less we have more inputs
00:55:02.320 of the creative human mind.
00:55:03.880 That's right.
00:55:04.200 And then the next one is like,
00:55:05.300 well, we don't have enough chips to keep going
00:55:06.880 and then we don't have enough energy.
00:55:08.080 And the point being
00:55:08.840 is that there are trillions of dollars
00:55:11.240 going into finding all of the solutions
00:55:13.800 to all of these bottlenecks.
00:55:15.340 All the smartest minds are going,
00:55:17.180 because this is the biggest incentive
00:55:18.960 because it gives you political, economic, military, scientific, technological, cyber dominance
00:55:25.200 forever. And so if you think that any one of these bottlenecks is going to stop that
00:55:29.980 mass sum total of like that incentive, it's a little delusional. Yeah. And that's why we have
00:55:36.280 to have this clarity that where we're going isn't safe for any of us because- That is the
00:55:42.680 coordination point. That is where we'll start to coordinate differently. Now, you were bringing up
00:55:46.200 something um gavin that um there is a belief that some of this is hype that the companies are hyping
00:55:54.060 the technology i just read a blog and and reason there's no gonna be no job losses i mean it wasn't
00:55:59.640 mark himself but as a member of the team right uh saying you know we're back to a utopian future
00:56:03.920 yeah and we're gonna pay abundance abounds cost of goods collapses yeah we find our lives purpose
00:56:10.320 and meaning in many different ways not the quote-unquote dignity of job we find other and
00:56:14.940 And jobs will be plenty because we can't even conceive of the jobs.
00:56:18.480 Two hundred years ago, we were all farmers here in Sacramento.
00:56:20.900 We went out there.
00:56:21.800 Everyone was in the fields.
00:56:22.520 And we've overhyped the sectorial versus the general nature of the displacement.
00:56:26.180 It invariably will open up possibilities.
00:56:27.860 Humans always find something new to do.
00:56:29.480 We always come together and solve it.
00:56:31.220 Exactly.
00:56:31.600 More bank tellers now than there were.
00:56:33.300 That's exactly right.
00:56:34.000 Even despite the ATM.
00:56:34.680 Radiologists.
00:56:35.140 Jeffrey Hinton made the prediction that we're going to have any radiologists.
00:56:37.740 So why are you so negative about all this?
00:56:39.960 Well, I want to separate two things.
00:56:41.360 We open up two cancer forms.
00:56:43.000 So let's take the cancer forms separately.
00:56:44.940 One of them is around whether the companies are hyping the power of the technology through talking about the dangers.
00:56:51.420 And then the other is whether the hype is going to cause the level of job loss.
00:56:55.040 I've heard people say that about the mythos.
00:56:57.400 It was just wildly overstated.
00:56:58.780 So it was just a way of hyping up the stock in a touch.
00:57:01.600 That's right.
00:57:01.980 So I really, really, really want to meet that criticism.
00:57:06.160 So people will say Anthropic has a history of hyping the technology, saying it's dangerous so that they can get regulatory capture,
00:57:14.060 get the government to regulate it, say there's only one king here, make them the king, nationalize
00:57:18.800 the project, then shut down the other projects. And it's this all secret ploy so that they win
00:57:23.360 the race. And first of all, it assumes that them talking about the dangers is only bad faith,
00:57:29.300 like that the technology is not dangerous. And they're just saying that it's dangerous and it
00:57:32.060 can do all these destructive things so that they can get that outcome. So first of all,
00:57:36.520 let's just take Claude Mythos specifically. So again, hack into every major operating systems.
00:57:40.620 if you read online there's a lot of people who say this is just hype this isn't actually that
00:57:45.160 much better you can take the open source models you can do this stuff so i have a friend who is
00:57:50.320 the head of security at one of the top five not the fortune 500 the top five um and he has had
00:57:58.360 early access to mythos and when he he himself has said this is this is crazy this is like i mean the
00:58:06.480 words were um i think i saw jesus like it was like it was that crazy when he looked at everybody
00:58:12.960 critiquing that mythos was just hype he asked has any of them do they actually have access to the
00:58:18.160 model and none of the people that had criticized it had personally had access to it yeah so i i
00:58:24.100 challenge those who are criticizing that it's hype to say have you actually used it and if you talk
00:58:30.780 to people who have do you still have the same opinion okay so that's one thing that it is true
00:58:34.840 by the way, that the companies I think have wanted people to understand the dangers so that they can
00:58:39.400 actually accelerate the move towards some guardrails. But there's a question of that happening
00:58:42.960 in good faith or bad faith. I think there's more of that happening in good faith. There's some bad
00:58:46.680 faith in there too, maybe, but I think it's, it's mainly good faith. But then let's take the second
00:58:51.500 can of worms who opened, which is on, is AI going to create this world of abundance? We're all going
00:58:57.500 to be poets, you know, and painters on a Grecian sunset. And you know, now robots are going to do
00:59:02.860 all the jobs that's true now you're talking yeah well we'd all like that i one question i would
00:59:07.880 have is when is a handful of people ever concentrated all the wealth and then consciously
00:59:13.820 redistributed it to everyone eight or nine trillionaires are not going to take care of
00:59:17.820 eight or nine billion of us yeah exactly you call call that bluff yeah exactly well and then you
00:59:22.680 combine that with the intelligence curse that we laid out that the incentive is like why do we want
00:59:27.560 to invest in the people it became it becomes basically an act of charity because otherwise
00:59:32.560 i mean that or dealing with the political revolution um but again i don't think that
00:59:38.120 we're currently on track to be redistributing uh that wealth and it's also not just the wealth
00:59:42.460 and the money it's like we have people have to have work and dignity and status and meaning
00:59:45.480 voltaire life you know job solves life three great evils boredom vice and need not just need
00:59:50.800 but boredom and vice that's right so let's get to the and community and belonging absolutely
00:59:54.520 All of that, which, again, no one's talked about more than you in terms of that social dilemma. So before we go there and this notion of the transition and job displacement and the human condition that I think connects as well, President Xi, President Trump's visit as well in terms of their own domestic issues in China, where they have the same incentive structure not to go through that transition with the kind of displacement that could create social unrest in the short term.
01:00:23.500 But get back to this notion of constraints and the safety side of things.
01:00:27.660 I mean, we're here in California, the dominant, you know, I mean, the technology sort of birthplace of so much of the technology, obviously, the consciousness, 32 of the top 50 market cap companies, arguably, old stat, and of course, most of the AI labs here.
01:00:41.380 But we're also, we've been leaders, modest, though some would suggest, but we've been leaders in particularly large language model, frontier models, of focusing on a regulatory structure in the complete absence of any federal regulation.
01:00:58.800 It's the let it rip.
01:01:00.200 That's right.
01:01:00.980 It's the let it rip.
01:01:01.860 Administration.
01:01:02.820 Until recently.
01:01:04.320 That's right.
01:01:05.080 There were some tonal shifts in the Trump administration.
01:01:08.780 Just the last two, three weeks.
01:01:10.060 Just the last few weeks.
01:01:10.940 They were undermining, they were very intentionally undermining the legislation that we brought, SB 53.
01:01:17.080 And you had other Republicans that were trying to undermine California's leadership.
01:01:23.020 Senator Cruz would call them out saying we don't want to see the California vacation of regulation all across the United States of America.
01:01:30.200 Interestingly, that's beginning to shift.
01:01:33.940 Why do you think that's the case?
01:01:35.840 Is it because our AI czar is no longer formally in that role?
01:01:41.720 Is it because now they're waking up to this new reality?
01:01:45.360 Was it what happened in the Pentagon with Dario and Anthropic?
01:01:49.460 Was it the combination of all of this?
01:01:51.380 It's because they're listening to you.
01:01:52.700 They watch the doc.
01:01:53.900 It's because they realize all the money in the world is not going to build a big enough bunker that I can enjoy in the absence of societal calm.
01:02:03.300 What is it?
01:02:04.160 I mean, I think I would just say it very shortly is that there are two different realities. There's sort of like the political reality, and then there's like physical reality. And physical reality is crashing into political reality. That is with mythos, suddenly banks can get hacked. Any computer system can get hacked. Your stuff can get hacked. And once that physical reality starts getting scary enough, you have to start waking up. You're no longer in sort of like political game land.
01:02:33.180 Yeah. I do think that it was, it's interesting to note that when the emergency meeting was convened after Claude Mythos came out, it wasn't at the Pentagon or National Security. I mean, that happened too, I'm sure. But the real meeting that happened was between Scott Besant and the Treasury Secretary convening all the banks. Because I think the thing that really got them was that if this takes down the financial system, what could his quote 10% GDP growth if the entire financial system gets undermined?
01:02:59.620 so i think this this again illustrates the point we have been making since the beginning that the
01:03:05.220 upsides don't prevent the downsides and the downsides can undermine the world that can
01:03:10.400 sustain and the benefits and the of the upsides um and so i i do think there's been a forced shift
01:03:17.520 and and you know it's very late in the game but we should celebrate that it is happening now we
01:03:22.260 just need this kind of full whole of society response to mobilize i mean there's nicholas
01:03:26.800 Carlini, who gave the talk on Mythos at a conference, Black Hat LLM, I think it was
01:03:30.880 called. It's the Unprompted Conference. The Unprompted Conference. And basically
01:03:34.860 saying, he's kind of calling, if you are a cyber person, we need you
01:03:39.120 right now. We need you defending all the systems. Everybody should get access to Mythos and do it
01:03:43.060 as fast as possible because, as you said, Gavin, the clip between the new
01:03:47.160 capabilities being out there and then China coming out with a model that makes it possible,
01:03:51.580 maybe this time we have six months, next time maybe we have three months, then we have
01:03:55.180 two months. So we need to really work hard. I'm not trying to scare people. It just means that
01:04:00.000 we actually have to work hard to create safety here. Now, China doesn't want the financial
01:04:04.940 system to collapse either. No, they don't. And so again, we have to recognize that it's possible
01:04:10.880 for coordination to happen, not because of kumbaya, we're all going to get along, but because out of
01:04:16.180 self-interest, like the U S doesn't want China to screw it up and then break the financial system.
01:04:21.000 China doesn't want the U S to screw up and then break the financial system, or the U S doesn't
01:04:24.680 want China to release a rogue AI that starts mining for cryptocurrency and hacking into things
01:04:28.600 and self-replicating like an invasive species. And China doesn't want the U.S. to do that either.
01:04:33.080 So, so long as we have clarity about what we want, we can choose a different path.
01:04:39.240 And what, a Bretton Woods type path?
01:04:41.980 Yeah. Well, and this is actually one of the other exciting things is that
01:04:44.840 we haven't even really tried to coordinate yet. Like what percentage of the billionaire's wealth,
01:04:51.200 how much of their time have they spent actually trying to coordinate? They all just say, well,
01:04:54.360 if you're going to do it then we're going to do it um if you say it's impossible have you spent a
01:04:59.760 month of your life and all of your connections dedicatedly trying yeah exactly and the same
01:05:04.160 thing like this guys exactly and the last time that humanity invented a technology that could
01:05:08.720 extinct ourselves like the nuclear bomb we had breton woods we took you know candidate or groups
01:05:15.500 from a hundred countries lock them in a hotel room in new hampshire for like six weeks or something
01:05:20.280 like that and said we're going to figure something out and you're not leaving the hotel until we
01:05:23.980 figure it out so it's like it's not a conference where you go you drink your coffee and you listen
01:05:27.600 to some talks it's what we need is the we lock ourselves in a room and we figure this out um
01:05:34.100 and i know that this summit is just a couple days and we all know about the difficulties of the
01:05:38.660 level of expertise that might be involved right now but this is the moment to to open the doorway
01:05:42.660 of that possibility um and we have examples through history where when something becomes
01:05:48.220 existential to a citizen group and their nation, they will coordinate. So, you know, in the middle
01:05:54.840 of the Cold War, still the U.S. and Russia, we coordinated on eradicating smallpox. And, you know,
01:06:00.660 the U.S. did logistics and funding, and the Soviet Union made 25 million doses of the vaccine
01:06:06.360 annually. And then, you know, India and Pakistan, they were literally trading bullets in the 1960s,
01:06:11.300 and yet they still worked on the Indus Water Treaty. And that lasted nearly 60 years because
01:06:16.460 access to water was existential to them and their shared water supply you have to collaborate on
01:06:21.760 that yeah and so i just want to acknowledge the people here it was you know if people some people
01:06:27.160 know the history that obama and xi president obama and xi signed an agreement to not cyber
01:06:30.980 hack each other and i think the next day was the biggest cyber hack in the u.s government by china
01:06:34.660 so i want people to hear this not from some kind of naivete yeah about the level of competition
01:06:40.780 rivalry and antagonism that is currently present but when the stakes get existential when i push
01:06:45.960 the button and it shifts from the label of the button being 10% GDP growth and military dominance
01:06:50.000 and cyber dominance, the next time I push the button, it's collective suicide. I don't want
01:06:54.940 to push that button. And China doesn't want to push that button either. So the button label has 0.98
01:06:59.900 to shift from what we thought it was going to give us to a new outcome. And the way Asa says
01:07:04.920 that I love is that the fear of all of us losing has to become greater than the fear of me losing
01:07:10.880 to you. So you have a very regulated construct in China compared to certainly the United States.
01:07:18.600 That's right. You're talking about a traditional model. Right now, we're the new frontier out here.
01:07:27.220 The wild west. Yeah. I mean, it's, you know, go west, go west, young man, go west. I mean,
01:07:31.160 people are pushing out the boundaries of discovery, holding them back on their own,
01:07:35.120 Yeah. Regardless of what happens in Beijing, this is really in the hands of a handful of people ultimately making the right decision.
01:07:45.420 And I believe Dario is the best of a lot. I think universally that's accepted. But that may be and even Dario may acknowledge because of the flatness of the surrounding terrain may not be because he's particularly eminent on his own.
01:08:00.700 And he talks about his own, you know, you know, he's an entrepreneur and he's constantly reflecting on his own incentive structure and how he has to compete in this environment at the same time.
01:08:10.860 And he's at least I think has a more situational awareness than others.
01:08:14.300 But, you know, whatever can be, will be.
01:08:17.400 Yeah.
01:08:17.920 And, you know, with respect to Elon, I don't trust XAI.
01:08:22.960 You know, I mean, the idea that he's the good guy compared to our friends down at Google.
01:08:27.600 That's right.
01:08:28.040 Or you guys left.
01:08:28.980 I mean, you know, so talk to me about more of the sinister realities of, you know, I don't mean sinister, but the impulses, again, to be the guy, the God, the God, I mean, to have their DNA.
01:08:42.000 Yeah, so I'm grateful you're bringing this up.
01:08:44.380 There's a few things we should enumerate here.
01:08:45.820 So one is we need coordination, and we do find ourselves in the unfortunate spot that the people who do need to be in coordination maximally distrust each other, even just the U.S. CEOs.
01:08:57.880 i mean elon musk and sam hate each other correct um it's not like dario and sam or sam no famous
01:09:05.160 moment the india summit they couldn't even hold their hands together hold hands yeah at least
01:09:09.960 they showed up so uh we have a problem of trust between the leaders themselves we need i think
01:09:15.840 structures that impose the trust on top because they're not going to do it autonomously themselves
01:09:20.220 um so that's the regulation that that's yeah that's the transparency using the power of law
01:09:25.360 to say that these people,
01:09:28.120 this is going to happen in China,
01:09:29.500 and the rules are going to be similar in China
01:09:31.040 as they are here.
01:09:32.140 We're both, for example,
01:09:33.020 not going to open source a model
01:09:34.360 that can hack into any computer system
01:09:36.220 in the world without defenses.
01:09:37.620 We're at least not going to open source that.
01:09:39.240 China doesn't want a rogue state actor,
01:09:40.780 a rogue non-state actor or terrorist group
01:09:42.800 having that ability to hack their infrastructure.
01:09:45.320 Because it would also blow back onto them.
01:09:47.300 Same thing with a open source model
01:09:49.180 that knows how to do
01:09:50.280 very dangerous things with biology.
01:09:52.240 There's some threshold
01:09:53.340 that we can get these countries to agree.
01:09:55.360 Just like the Soviet Union and the United States had a red phone saying this is to de-escalate, I think we need something like an AI red lines phone, meaning that both countries have common knowledge of the frontier of these risks.
01:10:08.180 Because right now we don't even have that common knowledge.
01:10:09.780 And there's rumors that that may be one of the things that they're preparing to announce at least some beginning of this.
01:10:19.320 You've heard the chaos. Now you can see it.
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01:11:24.220 I'm seeing a reading of Sadako and the Thousand Paper Cranes by Audra McDonald at the Wonderland
01:11:30.040 bookstore on the 14th.
01:11:31.120 That's crazy.
01:11:31.640 I went to the Wonderland bookstore yesterday and I heard Nora Jones do a reading of Zero
01:11:35.460 Dark Thirty.
01:11:36.080 No way.
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01:12:07.860 your podcasts by age 11 or so at least 70 have a phone middle school is a different world than
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01:12:29.740 So it's literally physiological and neurological and psychological chaos happening all at the same
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01:12:44.680 There's belonging. You could think of belonging as I can be myself and I can still be accepted.
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01:12:56.640 Then we turn the conversation toward the fathers, sitting down with therapist Kira Gaines on Black
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01:13:35.080 self-care September is here which means it's time to rethink what self-care actually means
01:13:40.680 yes self-care can be a long walk it can be an everything shower it can be putting your phone
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01:14:05.740 relationships and friendships to money anxiety confidence attachment just becoming more comfortable
01:14:11.440 with who you are unlike the quarter life crisis which is depicted as the collapse the quarter
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01:14:36.540 Is there an epidemic against literature? More specifically, Black literature. Our books are
01:14:41.960 being banned, scanned by AI, and destroyed. I'm Jacquees Peace Thomas, and on this season of the
01:14:48.980 Black Lit Podcast, we're outside asking some of the custodians of our stories, teachers,
01:14:54.620 and our modern-day writers.
01:14:56.860 Why? 1.00
01:14:57.300 They don't want a whole bunch of little elevators, 0.99
01:14:59.440 Malcolm X's and Martin Luther King's running around.
01:15:01.600 They want to build children who have no empathy.
01:15:04.240 That's really the ultimate goal. 0.60
01:15:05.800 We want books that don't make white kids feel bad.
01:15:08.940 So is the war on literacy and information
01:15:11.880 or our ability to connect?
01:15:14.460 We want people to know how sexy reading is
01:15:16.780 and how fun it could be
01:15:18.360 and not always associated with education.
01:15:21.460 It could be an escape.
01:15:23.140 It could be entertainment.
01:15:24.620 And that is the beauty of reading.
01:15:26.820 It can be all of those things.
01:15:28.960 And considering this is Black Reading Month,
01:15:31.300 the only real question is, what are you reading next?
01:15:34.780 Listen to Black Lit from the Black Effect Podcast Network
01:15:37.620 on our iHeartRadio app, Apple Podcasts,
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01:15:43.540 This is Jay Valentine.
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01:16:10.140 That was hood famous.
01:16:11.680 Yeah.
01:16:11.980 And then Real Love came out, and it blew up.
01:16:14.860 We lived in a project.
01:16:15.780 Yeah, and they're seeing all the success.
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01:17:57.180 But I wanted the other aspect
01:17:58.280 of the human experience of this.
01:17:59.660 We did a screening of the AI doc in New York
01:18:01.780 and there was someone in the audience actually
01:18:03.560 who raised her hand quietly
01:18:06.060 and she said,
01:18:07.260 I'm a coach for one of the CEOs
01:18:09.580 of these companies and you know what happens when i talk to them is they say but what can i do i'm
01:18:16.140 just one person i'm powerless and i want people to hear that because i notice that even you know
01:18:21.480 we all feel relative to the size of this problem you will never locate agency that is that is enough
01:18:27.800 agency to do something about this problem in one human body even if that body is elon by himself
01:18:33.000 or Sundar by himself or Sam by themselves.
01:18:37.020 And so getting back to, you know,
01:18:39.460 I think what this moment is inviting us into,
01:18:41.420 we often say that AI is our ultimate test,
01:18:43.700 but greatest invitation.
01:18:45.160 That we have to go from agency to wegency.
01:18:47.380 We have to basically act in some kind of collective way.
01:18:50.140 And the forces politically of the world
01:18:51.920 have been driving us away from that.
01:18:53.800 But this is kind of the test.
01:18:54.900 Like we either do that and we step up.
01:18:57.380 And again, we need everything
01:18:59.120 from common political pressure
01:19:00.340 and this being the number one issue in the midterms
01:19:02.040 and, you know, the public's rallying and all the governors, you know, speaking up about this and
01:19:05.940 all the world leaders speaking about this. Just yet, you know, two days ago, I got an email from
01:19:09.360 the president of Iceland who basically wants to activate on this issue. And Iceland hosted in
01:19:13.580 Reykjavik the first arms control talks. There's a lot that people could do if they said, not just
01:19:18.740 what can I do, but how could I get my reaching up and out to the network of people to take action
01:19:24.280 together there is a second part to your point which is the darker part which is um you talking
01:19:32.360 about the game theory of uh the psychology of the leaders that they basically believe that in the
01:19:37.440 worst case scenario the thing that kept us safe in nukes is that it's two people have to push the
01:19:44.020 button and i know you won't push the button because i know that there's something sacred
01:19:48.160 that you don't want this whole thing to end and i know that and i know that you know that i know
01:19:52.500 that and so even though we get very very very close and we've gotten close so many times
01:19:56.500 we haven't pushed that button but in this case with ai there's a belief it first of all it's a
01:20:02.480 red zone of where the risk occurs it's not like there's one button that gets pushed it's like
01:20:06.240 we just push this stuff out there and there's a belief that it's inevitable if i didn't do it
01:20:10.840 someone else would which means i don't experience ethical complicity in being part of the end of
01:20:17.000 civilization and if it's inevitable there's nothing i could have done to stop it so i don't
01:20:20.280 even have to feel bad right and then so the the game theory goes from all of us knowing that we
01:20:25.040 want to avoid the bad outcome to everybody believing that there isn't a different outcome
01:20:29.100 which means that the best outcome is maybe the worst thing is all of us go by the wayside but
01:20:34.920 we birthed a digital god and it speaks chinese instead of english or maybe it has elon's dna
01:20:40.340 instead of sam's jensen said it's at least on an american stack it's yeah at least we're selling
01:20:44.680 the world american uranium but the reason of laying all that out is that if the whole world
01:20:50.920 could see i think what we just laid out if literally everyone could see that yeah the
01:20:56.000 whole world says we don't want eight soon-to-be trillionaires deciding the future for eight
01:21:00.800 billion people who didn't consent to this and that's the purpose of again that sort of brings
01:21:05.680 us back to the beginning why you're doing this damn film the day after to create a sort of global 0.93
01:21:10.720 consciousness. That's right. So in the absence of that, we're back here in California. You're 0.98
01:21:15.280 here with the governor, current governor, the governor's mansion, interestingly. We're doing
01:21:21.180 some decent things. What more should I be doing in the absence of the kind of federal leadership
01:21:26.540 that we need? I feel like we've lost this last 18 months. It was interesting working. I worked
01:21:35.240 very closely with the Biden administration. Did they move quickly enough? Perhaps not,
01:21:40.160 But at least we had a framework of an executive order.
01:21:43.240 We moved that forward.
01:21:44.340 We, the president cited here at the Fairmont Hotel in San Francisco, in California.
01:21:49.000 It was built off an executive order that I did six months later.
01:21:53.340 We were working hand in glove with the Biden administration on that.
01:21:56.940 That was ripped up right when the Trump administration came into office.
01:22:01.280 You have an AI czar out of the Bay Area, certainly understands the ecosystem.
01:22:06.100 But it seemed to me, and this is me and you guys don't have to respond, but it was the
01:22:09.360 great grift.
01:22:09.860 Everybody was sort of on the train and seeing this as an opportunity and looking at the abundance of this only, but not looking at safety, not looking at the risk, as you've described.
01:22:20.980 California decided to assert itself in that respect, as we've done on privacy, as we've done on a lot of child safety issues and a lot more work to do there.
01:22:28.740 And this year will be a landmark year in terms of getting to the next level in that respect.
01:22:32.920 But what more can the state be doing?
01:22:35.840 The fear of that always is patchwork, not a framework for the nation and how you support
01:22:41.760 innovation, our own GDP growth, which has been off the charts in California vis-a-vis
01:22:47.480 our competitors, at the same time address these larger global issues.
01:22:51.660 Do you have any specific ideas for a governor of California that is the current governor
01:22:57.260 that has a budget that he's releasing in weeks and a legislative session coming up in the
01:23:02.000 next few months?
01:23:02.920 Mm-hmm. Well, we'll get to answering that question specifically. But one of the places
01:23:07.520 of also good news, I just want to say, because there's a lot of value in just social signaling
01:23:11.960 where everyone knows that there's a problem. We get to that like shared common knowledge,
01:23:15.700 common feeling. And if you went back two years and you said, by today, 25% of the world's
01:23:21.840 population would live in a country where they've either have announced or enacted a ban for kids 0.93
01:23:27.960 under 16, you'd be like, that's ridiculous. You couldn't possibly get that. 0.93
01:23:31.800 I want people to really feel that.
01:23:33.320 There you are in 2022.
01:23:34.920 If you said even just literally three years ago
01:23:36.960 that a quarter of the world's population,
01:23:39.440 we're talking Australia, India, Denmark, Spain.
01:23:43.240 Two weeks ago, Greece added the list, France.
01:23:45.320 I was with John Haidt when he was in Davos
01:23:47.400 and he met with President Macron and got France on board.
01:23:51.040 People would have thought that was impossible.
01:23:53.400 The trains left the station.
01:23:54.780 We just had all the democratic governors out here
01:23:56.640 and everyone was trying to compare and contrast
01:23:58.180 which one of the states is going to go first.
01:23:59.720 Which is following sort of your leadership.
01:24:00.860 Which we're going to do.
01:24:01.800 But I mean, you're right.
01:24:03.400 This is a tipping point.
01:24:04.380 It's happening right now.
01:24:05.020 It's a tipping point.
01:24:05.080 That's right.
01:24:05.360 And once you get 25%, you're going to get the rest of the world.
01:24:08.100 And the point that you said is-
01:24:08.420 By the way, a lot of these companies, I also, I anticipate these companies.
01:24:12.200 And by the way, if I was advising these companies, get ahead of this train.
01:24:16.400 Yeah, that's right.
01:24:17.260 And show your largesse and your maturity and understanding.
01:24:20.960 That's right.
01:24:21.460 So I imagine that may happen as well.
01:24:23.960 Yeah.
01:24:24.180 But no, that's a point.
01:24:25.660 You're right.
01:24:26.400 And so right now, something really interesting happened in Hangzhou in China.
01:24:29.700 Maybe you're aware of it.
01:24:30.720 But it's this first case where there was someone who lost his job due to AI automation.
01:24:37.260 And this court ruled and said, actually, that's not a legitimate reason for you to lose your job.
01:24:42.520 Companies are not allowed to fire you from increased automation.
01:24:47.860 Will that solve the whole problem?
01:24:49.420 Probably not.
01:24:50.360 But imagine that California took a leadership position there and said, actually, there are going to be some very serious protections that as AI increases GDP,
01:24:58.860 increases profits, actually people are going to be, it's sort of like an employment insurance.
01:25:05.740 They're going to be able to keep their jobs. Like that would set a social signal for the rest of
01:25:11.120 the US. All right. So I'm going to let you off the hook on the larger safety risk regulation.
01:25:16.840 And let's go back to ideas along these lines, because right in front of us is notion of
01:25:23.120 displacement transition. And it goes back to the earlier point I was making. Some will argue
01:25:27.920 that, you know, we always, you know, Luddites and we'll never see the abundance on the other side
01:25:34.400 and we can't even conceive of the jobs. So with humility, let's not just assume there'll be no
01:25:40.540 human jobs because the human mind has the capacity that's limitless with these technologies that will
01:25:46.500 be more supportive and allow us to be augmented and discover talents and capacity we never thought
01:25:52.920 possible. So let's assume that happens. But the concern is that it seems the most universal that
01:25:58.560 it may happen very fast. That's right. So how do you then flatten the curve? How do we address
01:26:07.440 the transition? You get to employment insurance, something we've been talking a lot about. You get
01:26:11.920 to this notion that you can't fire someone to be automated. That's even deeper. And that's
01:26:15.660 interesting, this Chinese example. Tell me more about the issue of workforce and what I should
01:26:20.560 be worried about when I see Dario saying 50% entry-level jobs. It's no longer a career ladder.
01:26:26.520 It's a jungle gym. And all these young folks got a Stanford. They're like, now I'm unemployed or
01:26:30.800 unemployable. No coders, software. I mean, women disproportionately being impacted in the workforce
01:26:36.960 when you look at those clerical jobs, admin jobs, et cetera. I mean, what do you see a year, 0.74
01:26:42.640 two years from now as we deal with the holy grail, the God complex of AGI in the displacement space?
01:26:50.560 um reed hoffman has this idea i want to make sure i get it right yeah i like which is um
01:26:55.820 one of the things that makes ai distinct and sam altman has talked about this himself
01:26:59.640 that you could get the age of these unicorn companies a unicorn company meaning a billion
01:27:04.200 dollar valuation i met a guy the other day literally billion dollar valuation it's him
01:27:09.000 one person there we go it's him exactly so i think that he was parading himself around as the
01:27:13.520 it's me that's right one of the first and so that's what that's what has been posited ever
01:27:17.140 since the beginning of ai they're saying we're going to start having a world are you going to
01:27:20.080 have a single person with a unicorn billion dollar company yeah now does the society work
01:27:25.800 if there's a handful of single people with billion dollar companies and no one else has a job
01:27:29.900 it doesn't work do you think those people just want to live out their lives in bunkers with
01:27:33.640 private militaries and gas masks because they've created that world i don't think they want that
01:27:38.700 world so reed hoffman who's the founder of linkedin was early at paypal and you know was at some point
01:27:43.220 a friend of peter thiel's um uh you know has this proposal that we can tax companies based on the
01:27:48.720 proportionate ratio of how many employees they have relative to their revenue so you want to
01:27:53.360 basically disincentivize um uh the the single solo unicorn company i don't know if you want to add to
01:27:59.740 it yeah well and also just just to note that it doesn't stop with just single person unicorns
01:28:05.440 yeah with automating that final one person not so hard so you're going to end up with zero person
01:28:10.020 you can have the ceo be an ai yeah and that's actually happening they're already getting ais
01:28:13.460 that are on boards and things like this yeah and so even if you might find it questionable that
01:28:16.840 that person might have again they they can they can earn their wealth but we you have to you have
01:28:21.180 to have some taxation to make sure this is being distributed and we also need we need to find ways
01:28:26.220 of having universal basic ownership not just universal basic cash payments and ubi but universal
01:28:30.920 basic ownership i think people need to have a stake in in the success that's happening like
01:28:34.380 what norway did with the sovereign wealth fund but oil didn't oil produced this kind of gravy on top
01:28:39.500 for the civilization people still had jobs so what's different about this is we do need to find
01:28:43.760 ways of doing universal basic work we also need to find ways of having certain professions in
01:28:50.780 which that embodied wisdom like a surgeon or a senior lawyer or a senior judge we need ways of
01:28:56.120 training and apprenticing almost like minimum quotas of those kinds of occupations and roles
01:29:00.360 in society make sure that we have that ongoing knowledge because again the short-term benefit
01:29:04.980 of like no one needs lawyers and then the senior lawyers all die out that world doesn't work so
01:29:10.280 So, yeah, just the last thing to sort of add here is that, you know, instead of getting into arguments about how quickly exactly are people going to lose their jobs?
01:29:17.600 Well, people really do lose their jobs.
01:29:18.900 Let's let's plan and say, OK, we think people are going to be out of livelihoods.
01:29:22.540 This is this idea originally came to us from Reed Hastings, the former CEO of Netflix, where he said, let's set up trigger point laws.
01:29:29.560 If unemployment hits 10 percent, what are we going to do?
01:29:31.780 If it hits 20 percent, what are we going to do?
01:29:34.040 You could pre-set up those sort of conditions so we don't have to argue about whether it's going to happen, just what we should do when it does.
01:29:40.280 And I know that you've been running with Engage California, these citizen deliberations, these ways of aggregating citizen assemblies, having citizens actually deal with and think about these issues and come to some, you know, have their own input in this process by reckoning with these facts.
01:29:54.340 And I think that these are all things that we need.
01:29:56.500 You know, the countries that discover a natural resource that didn't have this engaged, well-educated citizen, kind of engaged citizen infrastructure, like Venezuela or Libya or something like that, they don't do so well.
01:30:07.020 But countries like Norway, where you did have the engaged citizens with oversight of those funds, you end up with a healthier society.
01:30:13.920 So it's sort of like a California engagement fund because you want people involved in the redistribution.
01:30:19.480 That's right.
01:30:20.160 So it's interesting.
01:30:21.600 You mentioned MNCUM, which is the old Canadian construct, UBI, universal basic income.
01:30:27.680 You had Elon Musk the other day say he wants universal basic high income.
01:30:32.000 Well, he said there is going to be universal basic high income.
01:30:34.120 And then was asked with Peter, right?
01:30:35.500 That's exactly.
01:30:35.940 I saw him and he was asked a simple question.
01:30:38.740 How are you going to do it?
01:30:39.580 And he said, oh, I did.
01:30:40.340 I was just joking.
01:30:41.120 I made it up.
01:30:41.820 That was comforting.
01:30:42.960 Yeah.
01:30:43.340 I think people should really take note of that fact.
01:30:45.280 Yes.
01:30:45.740 It was just a mispronouncing of high, not as in like a high income.
01:30:49.220 It's just like he's high.
01:30:50.300 He's not able to think about it.
01:30:51.400 I mean, it's a little alarming.
01:30:54.140 So look, how quickly, look, we're thinking about all these things down to the parochial
01:30:58.460 and the Warn Act, which is how we actually warn the public, the social impacts of large
01:31:03.140 scale displacement and job loss.
01:31:05.940 Uh, having more, uh, capacity to see earlier, uh, that's after the fact that Warnack comes out,
01:31:12.020 those jobs are already going to be lost. Uh, what are the signs to show us what the impacts are
01:31:16.200 happening in the job market in real time? Issues of unemployment insurance becoming employment
01:31:20.740 insurance, uh, so that you can keep people employed for a period of time. The Dutch do it 1.00
01:31:25.320 about 90% of the wage. The ultimate training is an, is a job, the dignity of a job back to those 1.00
01:31:30.820 Voltaire Constructs, and then the opportunity then to potentially transition, but using the
01:31:36.220 federal government to help either backstop portable benefits, then become fundamental.
01:31:40.700 This notion of UBC, University of Basic Capital, this notion of sovereign wealth fund or equity,
01:31:46.700 public equity with dividends. And somehow we get shares versus equity shares, contributions from
01:31:53.580 these large companies. That is not just taxes, it's actual equity in the company. So there's
01:31:58.120 notion of an ownership and a larger ownership society, that we don't tax jobs with payroll
01:32:03.980 taxes and then subsidize automation through tax credits. We do the inverse in that context. So
01:32:10.060 all of that, how, you know, so that's the stuff I'm playing around with. A lot of us are thinking
01:32:14.180 about right now, but how, from your vantage point, how quickly is this happening? There's a lot of
01:32:20.300 headlines, but there's a lot of debate around these headlines of all these cuts of jobs,
01:32:25.300 but then people say, well, that was a lot of covert overhiring. There's some business model
01:32:29.140 issues there, but they're sort of hiding and suggesting it's AI. We haven't necessarily seen
01:32:34.960 massive job destruction yet, or have we with AI? I think the point people should get here is that
01:32:43.780 obviously it's complicated and there's jobs are shuffling throughout the economy a little bit
01:32:47.860 right now, but the long-term goal of these companies is not, it's back to the incentives.
01:32:53.420 The original OpenAI mission statement.
01:32:57.280 OpenAI's mission statement was not to give people helpful tools
01:33:00.240 so that you can do your job slightly better.
01:33:02.140 Their mission statement is, we do your job.
01:33:04.380 And actually, Gavin, in LA, there's an article in the LA Times about this
01:33:07.920 that is one of these new popular gig worker jobs in LA,
01:33:11.700 is everybody straps a GoPro camera to their head,
01:33:14.800 and they look down, and then they do laundry, they cook, they eat,
01:33:18.500 they do all these things.
01:33:19.960 so basically the number one job soon in the world will be training the replacement for that job
01:33:25.320 think of it like being a coffin builder like you're designing the coffin and then you put
01:33:28.700 yourself in it and you know if you think i'm lying by the way just think about meta
01:33:32.180 meta told instagram creators um you know we're here we love creators we love creativity we want
01:33:38.600 you to be successful we want to you know our whole mission statement is making creators super
01:33:42.800 successful that's before they were an ai company what they do the second that they were an ai
01:33:46.940 company they they trained on all the videos of their creators and then created generative videos
01:33:52.840 that now basically suck up like a vampire your essence your life force your creativity and then
01:33:57.540 hit button and now they have a digital copy of you that you didn't consent to that can generate all
01:34:01.680 these things if you don't believe me just a few weeks ago there was an article meta is now forcing
01:34:06.440 their employees um to basically track all of their movements all their clicks all the things
01:34:10.740 they're doing on a computer to train ai agents to do all their jobs this is not a conspiracy theory
01:34:15.480 all you have to do to know where we're going is understand the incentives and look at the early
01:34:19.680 warning signs they're telling you who they really are you know open ai says we're all here to to
01:34:24.700 make the world a better place and then they released this ai slop app that's sora which was
01:34:29.000 basically an infinite they killed it now but it was an infinitely scrolling um deep fake generated
01:34:34.220 content of like you know funny videos of stephen hawking you know that's you know going through a
01:34:38.760 raceway or something like that it's just deep fake ai slop why are they doing that because they want
01:34:44.260 to increase their market dominance because they want to get users because they want to get training
01:34:47.620 data and it gets more people using open ai so their numbers going up and if your incentive tell
01:34:51.780 you everything and if you're a company and you're you know choosing do i hire a real human paralegal
01:34:57.280 or gpt7 that works for less than minimum wage 24 7 doesn't whistleblow doesn't complain doesn't
01:35:05.260 have cultural issues doesn't have paid time off like which one are you going to do well your
01:35:09.300 business incentive is just very very clear and everyone's going to be trapped and if you're
01:35:12.440 competitor you may say no i'm going to keep the human and then your competitor goes the opposite
01:35:16.300 direction you're out of business yeah you have no choice back to the incentives but with those set
01:35:20.380 of interventions that you just mentioned and you just mentioned a whole slew of things we could be
01:35:23.580 doing you just mentioned so many things that we could be doing and i think what it represents is
01:35:27.880 i think people think but if we don't race to automate every job as fast as possible we're
01:35:31.980 going to lose to china but what what this is showing and revealing is we're not in a race just 0.83
01:35:37.080 the technology we're actually in a race for a different currency the currency is not who has
01:35:42.200 the power first but who is better at governing steering and integrating that power in a healthy
01:35:46.900 and sustainable and strengthening way into your society and we saw this with social media because 0.95
01:35:52.260 the u.s beat china to the psychological bazooka behavior modification machine of social media 0.83
01:35:57.620 and then we had no idea how to govern it so we flipped around we blew off our own brain with 0.90
01:36:01.900 the brain rot economy and so and by the way china regulates social media they do a whole bunch of 0.70
01:36:07.280 So when you open up Douyin TikTok in China, 0.91
01:36:10.780 it's their version of TikTok. 0.96
01:36:11.620 And you scroll, you get videos about
01:36:13.920 who won the Nobel Prize, financial advice.
01:36:16.960 Here's the new quantum physics theory.
01:36:19.240 You know, here's patriotism videos.
01:36:20.420 And obviously there's problems with that.
01:36:21.500 We don't want to do it that way.
01:36:22.860 But the point is you don't have to do it 0.74
01:36:24.720 in the wild west, blow off your own brain.
01:36:26.880 And now if we release it in a way
01:36:28.580 that automates all the labor with no transition plan,
01:36:31.380 it's like, great, we pumped up our steroids,
01:36:33.220 but we just burst our lungs.
01:36:34.800 Right, the societal body, we do that.
01:36:36.900 So what you just outlined was a set of interventions that we can be exploring to help smooth this transition.
01:36:43.520 And we're in a competition with China for who's better at making this transition to an AI integrated world.
01:36:50.200 Where are you on the transition curve?
01:36:52.380 I mean, we talk about flattening it, but how quick?
01:36:55.320 I mean, honestly, if we're sitting here a year from now having this conversation, are we looking at that 10% unemployment?
01:37:02.260 not that 20 necessarily which is that threshold for fascism and a whole nother societal collapse
01:37:08.020 but it's going to be it's going to be confusing and spiking how to predict exactly yeah because
01:37:12.340 just think about your own experience with ai so far two years ago i can barely write an essay 0.94
01:37:17.440 and now it can do some parts of your work pretty well and other parts like that is a really dumb
01:37:21.780 error um and so we're going to see not that much job not that much double off like entry level
01:37:28.220 stuff getting sort of squished around and then it's going to hit really really quickly when it
01:37:32.540 crosses the next threshold just like mythos did there's another confusing aspect about ai that
01:37:36.840 people in our space called ai jaggedness which is that there's certain capabilities like in cyber
01:37:41.520 hacking that it is already superhuman yeah already superhuman while it'll still make a very basic dumb
01:37:47.440 mistake on something else and i think part of what's confusing for people that naturally has
01:37:51.760 them say is this just hype and these companies are trying to hype this stuff is if you just look at
01:37:55.820 the dumb examples where it's messing up you're like this thing isn't that powerful we have never
01:38:00.380 been confronted with a technology that is simultaneously sci-fi level superhuman that 0.92
01:38:07.000 makes a person who's very deep in security call it like seeing jesus yeah at the same time that
01:38:12.300 that same technology can like mistake how many r's are in the word strawberry yeah like we have just
01:38:17.300 not seen that and so it's just i want people to notice for their own psychology that this is a
01:38:21.100 new psychological object that are normal intuitions about how to evaluate something,
01:38:26.500 we have to get more nuanced. And part of that nuance is a deeper understanding that we're not
01:38:31.000 just talking about apps here. We're talking about the physical world as well. It was a big headline
01:38:36.120 that I hope people paid attention to when Elon announced that in his original factory here in
01:38:43.380 Fremont, California, that he's converting the S and the X Tesla cars now to humanoid robotics.
01:38:49.420 And his goal is ultimately a million, you know, that's Elon, who the hell knows, you know, his goal setting, but the notion that he's converting that factory from cars to humanoid robotics and AI now into the physical world. Is that, I mean, we're seeing driverless cars. And if you haven't seen them in, you know, your home state, you're about to, and you're going to see flying cars. They're just quadcopters basically, but they're coming soon. And we're going to be doing a lot more of that.
01:39:16.740 around by the way that's great like i we can have a world of quadcopters and you know innovation
01:39:21.680 while not racing to replace us economically replace us socially so mark zuckerberg you know
01:39:27.080 designs your kids friends rather than you had them having actual friends replace us politically not
01:39:31.160 having political power and then replace us physically by owning our physical presence in
01:39:35.100 our in robots so again yeah i think people might hear this as an anti-technology conversation yeah
01:39:40.820 you know you talked about your legacy uh and your father and grandfather and we were talking
01:39:45.400 backstage yeah yeah you know az's father started the macintosh project yeah yeah you know we come
01:39:50.880 from a legacy where the word humane is about an inspiring vision about technology that's actually
01:39:55.640 integrated and in service of our humanity that's of a pro-human future that's what all of this is
01:40:00.620 motivated for so i get excited about you know flying you know cars that have cool you know ai
01:40:05.500 and just to say too just as my own personal experiences you know i spend a big portion of
01:40:10.120 my life i founded a thing called earth species project um we're now around 40 people and you're
01:40:14.960 I wouldn't say the biggest consumer of it.
01:40:16.840 I wouldn't say the biggest consumer.
01:40:18.080 Yeah, exactly.
01:40:18.620 It's me.
01:40:19.080 I'm sorry, guys.
01:40:20.980 First infinite scroll and now this.
01:40:23.460 But we were using AI to translate animal language, animal communication.
01:40:27.360 One of our researchers just discovered, just before she joined us, that not only do dolphins
01:40:32.300 have names that they call each other by, that their mothers teach them, they will talk about
01:40:36.780 each other in the third person.
01:40:37.860 So they'll talk about another dolphin that isn't here.
01:40:40.360 So that's like one of the biggest hallmarks of language, to be able to talk about something
01:40:42.900 that's not here and not now.
01:40:44.220 but they will continue to use their mother's name even after she's died yeah sweet right it's it's
01:40:51.300 beautiful with these are the kinds of things that ai can show us and teach us about the world and
01:40:57.220 connect us with the natural world the world around us and show us things we couldn't possibly imagine
01:41:01.160 so i just want everyone to hear it's not that we're just here saying no ai it's just saying
01:41:05.520 steer not ai in this way that technological progress might be inevitable but the way that
01:41:11.540 AI rolls out is not. That's right. And every time somebody says it's inevitable, it's like casting
01:41:16.780 a spell. That's right. Because if it's inevitable, then there's nothing we can do, then you shouldn't
01:41:21.340 possibly act. There's a button we're hitting called commit suicide, commit suicide. Is it 1.00
01:41:24.840 inevitable that we all hit that button? No. When it's called, you know, 10% GDP growth and like
01:41:28.940 innovation, we push the button. If we collectively see that the button we're pushing is more nuanced
01:41:34.280 than that, that there's some threshold by which we are essentially committing civilizational
01:41:39.040 suicide we're not going to have a human future yeah if you ask anybody what gives me hope we've
01:41:44.340 been on the road with this film you walk people through the basic facts we've talked through
01:41:47.840 and you ask who here is stoked about the future that we're headed to i i was even at the miami
01:41:53.020 tech summit in front of a pro business pro ai a lot of people invested in it again we're we're
01:41:57.780 invested in you know in positive technology too but i was able to see that entire audience is like
01:42:02.140 no i don't want that either wow yeah so again i think it's like as long as you give people the
01:42:06.740 off-ramp, there are ways we can have technology that's in service of making life better. We need
01:42:11.680 to be funding and innovating in that way. And we need to be blocking off the parts that are
01:42:15.780 hurting our children, that are, you know, diminishing people's cognitive capacities or
01:42:20.140 replacing their kids' relationships with AI companions. And we can do that. And you've
01:42:24.060 done some of that with here in California. So, you know, it's not that I am or we are by default
01:42:29.060 optimistic about the default trajectory, not at all. It's that if we had the clarity,
01:42:34.140 we can put our hand in the steering wheel
01:42:36.300 and we can steer it somewhere else.
01:42:38.280 This notion of accelerate and steer.
01:42:41.040 Yeah, that's right.
01:42:42.380 What happens when you accelerate and you don't steer?
01:42:44.580 You obviously crash.
01:42:46.120 It's just, it's like not rocket science.
01:42:47.340 It's 100% the likely outcome.
01:42:51.540 What just, and as we wrap up,
01:42:54.180 this notion of governance, going back to that,
01:42:56.220 is it's the foundation here
01:42:57.760 in which the regulations and the relationships
01:43:01.740 or form the partnerships to begin to address the common humanity and the common threat
01:43:06.380 and the common cause, common opportunities that present themselves.
01:43:10.140 This notion of capture, I mean, you've got these PACs, you've got so much concentrated
01:43:15.380 wealth.
01:43:16.360 We're going to likely have the first few trillionaires this year, this calendar year.
01:43:22.260 That's right.
01:43:22.640 Yeah.
01:43:23.020 Yep.
01:43:23.900 These IPOs, I mean, it's just, I'm a, now it's a big surplus in the state, the abundance,
01:43:30.100 the GDP.
01:43:30.540 I mean, it's frothy, as they say.
01:43:33.920 But a lot of that now is going to, you know, make sure that, you know, we're protecting incumbents against innovation, you know, some incumbent capitalism, not entrepreneurial capitalism necessarily, innovation capitalism.
01:43:46.380 There's that friction that's always ongoing.
01:43:48.380 And those that are just going to do everything to hammer, as they did with social media, to make sure there's no regular.
01:43:54.220 We're still debating Section 230, for Christ's sake, in this country.
01:43:57.940 so how do we start to break that reality i think money and politics that's right that's that's
01:44:05.160 up the ante just just a little bit even further which is that so as we get more trillionaires
01:44:09.680 like they can hire private security um but that still requires relying on human beings but you're
01:44:14.880 just pointing out that we are heading into like a world we have drone armies we have humanoid robot
01:44:20.500 armies when trillionaires can just buy like their drone armies to fight like we enter into
01:44:27.100 techno-feudalism right and so like that is the world that if we see if we don't do something
01:44:31.440 if we don't do something we're going to end up into but to answer your question the it's all
01:44:36.360 about the campaign lobbying it's all about that and a hundred and million hundred ninety million
01:44:41.180 dollars has gone into basically ai accelerationist um packs funding is for this midterm for this
01:44:48.560 midterm election alone just the midterms that's so 190 million i believe the presidential is two
01:44:53.440 billion. So basically 10% of the presidential is going into just the midterm for AI alone,
01:44:57.840 not even for the rest of it. And it's not to regulate. And it's not to regulate it. It's to
01:45:02.240 say, remove everything and go as fast as possible. Right. Let her rip. If you had everyone in the
01:45:07.980 world, I think hear the conversation we just had. And at a basic level, common sense, looking your
01:45:13.040 children in the eye and say, are you stoked about that future? No one wants that. So the key piece
01:45:19.120 agency is going into the midterm elections not voting for people who have taken money from those
01:45:25.180 ai accelerationist groups um or don't have a position on ai that's trying to steer away from
01:45:30.640 these outcomes now we obviously have to articulate that in a clearer way what does it mean to have
01:45:35.180 kind of a pro-human platform in future and and the companies try to make the conversation
01:45:39.940 inaccessible like oh well you don't understand ai they're trying to make it seem like so you don't
01:45:43.060 know how to regulate let's put us in charge yeah we call this the the under the hood bias where
01:45:48.040 it's as if people who know how to make the biggest engines know how to lay out cities and traffic
01:45:51.900 lights. And that's just not true. People who know how to make car engines are not the best people
01:45:56.820 for knowing how to make cars safe. So it's pretty simple. It's like, do you want an anti-human
01:46:05.040 future in which you will be permanently disempowered where no one has an incentive except
01:46:08.800 for charity to pay your bills for you? You want the companies that took your job, you want to be
01:46:14.940 dependent on them for the rest of your life to pay your bills for you with no economic leverage
01:46:19.240 no so this is the final window you know you want to vote for people who are going to protect you
01:46:24.580 economically protect you socially protect you politically meaning protect our jobs protect our
01:46:29.060 vote voting pro-human and obviously that has to get articulated even more clearly but that is the
01:46:35.140 number one way that people can make a difference in the short term there's other things too like
01:46:38.940 boycotting companies that are enabling mass surveillance you know when the company's
01:46:43.100 subscriptions for you know go down by a lot they really need their numbers to be going up so the
01:46:46.640 companies are more vulnerable than you think and you're more powerful than you think not just if
01:46:50.300 you unsubscribe and boycott them but get your company get your church group to do that too
01:46:54.620 um and when those numbers start to change it actually has a difference scott galloway's been
01:46:59.080 talking a lot about that as well absolutely got to use whatever power and at your disposal let's
01:47:05.440 just briefly talk then about the power i mean uh you know free and fair elections we talk about
01:47:12.940 truth trust more broadly deep fakes political ads i mean i've seen stuff but you know meetings
01:47:19.460 conversations i've had that are i mean it's next level what's out there fix of you yes just the bs
01:47:25.120 that's already out there the ability to manipulate uh the crowd in the context of you know social
01:47:30.340 media the algorithms i mean now you've got you know concentrated in the hands of a few in that
01:47:34.920 respect i mean that whole thing i mean you you guys have talked about free and fair elections
01:47:40.460 We talk about the timelines, not only on job displacement, but timelines to get this right.
01:47:45.820 That's right.
01:47:47.860 Domestically, globally.
01:47:49.320 I mean, 2026, you're talking midterms?
01:47:53.600 Yeah.
01:47:54.160 I mean, this is, I mean, we only have a few more at-bats to get this right.
01:47:57.560 That's right.
01:47:58.000 Or is that overstated?
01:47:59.200 No, this is it.
01:48:00.100 It's a few more at-bats.
01:48:01.000 This is the moment.
01:48:01.420 And certainly by 2028, like, that'll be the last human election.
01:48:05.000 Like it's going to be AIs running all of the election, election campaigns, the ads doing all the both information and disinformation because human beings just can't operate at that speed and are not that effective.
01:48:14.560 Yeah.
01:48:14.860 So this is it.
01:48:15.640 This is the window.
01:48:16.620 But and I know I just want to like at the human experiential level, we've been talking about some hard stuff the last little while.
01:48:22.540 And, you know, I just want to say, you know, we struggle with how to communicate this in a way that's responsible because here's the here's the trade, right?
01:48:29.600 It's hard to face this.
01:48:30.740 But if we don't face it, we just like look away.
01:48:33.700 What are we going to get?
01:48:34.580 we're going to get the default anti-human path. And so there's this trade where we, the only way
01:48:39.980 out is through, like it is, we call it kind of like a rite of passage, like our ability to confront
01:48:44.760 basically a shadow of a technology and the default future that that brings. If we can see that
01:48:51.700 clearly. And if we can know that, you know, and I know that we don't want that. And if Xi and Trump
01:48:56.460 and the people at the highest levels of these governments, because you ask any reasonable
01:49:00.220 person at a very high level in national security on any side and you say, do you want AIs that are
01:49:05.480 going rogue and hack into any computer system and are already mining cryptocurrency? Does that sound
01:49:10.320 good to you? Does that sound safe to you? At a universal level, it's not. So there's actually
01:49:15.440 much more common ground. And even, you know, I think it's already the case that 57% of Americans
01:49:20.740 think that the risks of AI currently outweigh the benefits. I don't like that stat because it makes
01:49:24.780 it too, like it's all bad versus all good or something like that. You know, there's already
01:49:29.060 the pro-human ai declaration where 46 groups came together and said we agree on these five
01:49:34.240 principles to make a pro-human future you can look it up it's humanstatement.org that's the
01:49:38.600 one that also includes again glenn beck bernie sanders steve bannon all these people i believe
01:49:43.600 it's 65 percent of americans believe we should not create super intelligence until we know how
01:49:48.460 to do it provably safely and controlled sounds like a pretty basic thing like let's not do
01:49:52.860 something it's like should we build a nuclear bomb that until we know how to do it safely or
01:49:56.600 We know that it won't ignite the atmosphere.
01:49:58.900 Probably we should wait to do that.
01:50:00.420 So this is not a radical proposal.
01:50:03.020 This is not.
01:50:03.700 Do you want to know how many, like what percentage of Americans think that we should just go as fast as possible, unfettered, non-regulated AI?
01:50:12.480 What percent of Americans?
01:50:14.100 Five percent.
01:50:14.600 Is it literally just five?
01:50:15.480 It's literally five percent.
01:50:16.060 It's just five percent.
01:50:17.020 So actually it's the most popular platform to run on.
01:50:19.540 That's right.
01:50:19.920 To do the safe thing. 0.94
01:50:21.560 And whether you're Democrat or Republican, you don't want to be surveilled by AIs. 0.91
01:50:25.260 whether you're a democrat or republican you don't want ais taking your jobs which it will do equally
01:50:28.540 to both sides but do you then subscribe to the bernie aoc frame just shut down the data centers
01:50:34.100 and moratorium and tell i think of it as those data centers and it's like i want a pro-human
01:50:40.600 data center policy it's like you get to build the data center when these conditions are met and we
01:50:45.700 know that it's gonna land us in a pro-human future i'm not saying that's easy i'm not saying
01:50:48.600 but because i want people to hear it's not just no to all of it yeah yeah it's making sure that
01:50:54.940 the conditions are the steering is built in so when you see that data center you should ask is
01:50:59.600 that data center here to basically enhance my life and strengthen my family well you were even just
01:51:05.100 saying data center was solar mostly data centers aren't solar that's right we're turning back on
01:51:10.020 coal plants that's right the old natural gas plants that are exactly yeah yeah and you know
01:51:14.760 often in in the sci-fi movies when is it the case that human beings actually stop all their bickering
01:51:20.640 and they start coordinating it's when the aliens come right yeah we are summoning the demon we
01:51:25.960 are summoning the alien and if we can see it that way then it's sort of like a game of thrones
01:51:30.820 winter is coming we have to understand winter is coming then all the fighting in westeros can like
01:51:34.880 pause for just long enough that we can deal with it that's this moment because otherwise it just
01:51:39.220 feels completely hopeless like how how are we going to like deal with all the finance reforms
01:51:43.660 When has Congress actually done anything?
01:51:48.200 And yet there is this one moment where all of humanity is on one side.
01:51:53.800 There is a human movement.
01:51:55.240 That's what I think the social media stuff shows.
01:51:57.800 If we don't think of this as just an AI problem, but as a technology encroaching onto our humanity, overreaching into our humanity problem, then actually there is massive momentum more than we ever thought was possible.
01:52:09.680 Because what we have to do is juice the momentum that's already there.
01:52:14.720 That's right.
01:52:15.320 Yeah.
01:52:15.580 Well, look, in the absence of federal leadership, California will continue to assert itself.
01:52:20.820 I believe in the power of emulation.
01:52:22.240 Yes.
01:52:22.840 Success leaves clues.
01:52:23.720 We'll continue to try to iterate on this and lean in.
01:52:26.600 But look, the clarity that you guys bring to this conversation, the importance of this conversation being brought to scale and broadening the consciousness and the imperative of seeing this documentary.
01:52:39.060 Again, the documentary is called The AI Doc or How I Became an Apocaloptimist.
01:52:44.700 And we can't let that slip twice because you've used a word that people are not familiar with, which is a good way to end.
01:52:54.540 And that is this convergence of optimism and pessimism.
01:52:59.100 A little more optimism than pessimism would be a better place to end.
01:53:01.780 And it's about agency.
01:53:02.820 And I'll just leave you with a quote that I loved from a meditation teacher who happened to be a meditation teacher.
01:53:09.800 And it's from the Army Corps of Engineers, which is that the difficult we do today, the impossible takes just a little longer.
01:53:18.620 I like it.
01:53:19.600 Yeah.
01:53:19.720 And I just end by saying it really actually isn't about being an optimist or a pessimist.
01:53:26.060 Because to choose that label for yourself, it's to sort of, it's to take a backseat, like to sit down and just be like, I'm just going to accept that it'll either come out well or not, versus taking responsibility for trying to see clearly to shift the world to go well.
01:53:41.680 um and i think that's what like everyone listening can can do is that this can all feel like too big
01:53:49.840 um what what can i do and then you realize even like the like the the ceos of the company sort
01:53:55.100 of feel a similar way um but this is not just about a what we must do this is fundamentally
01:54:01.800 a question of like who we must be that if we are the kind of people that aren't looking for a path
01:54:07.800 and the path is certainly not clear,
01:54:09.500 doesn't seem obvious or even possible.
01:54:12.220 But if we're the kind of people
01:54:13.400 that don't look for the path,
01:54:14.880 we definitely won't find it if it's there.
01:54:16.540 If we are the kinds of people that do look for the path,
01:54:19.540 then if it's there, we have the opportunity to find it.
01:54:22.800 And just maybe one last thing is,
01:54:24.600 people listening to this, this is a lot.
01:54:27.980 Your role is not to take on this whole problem.
01:54:30.680 You don't have to do that.
01:54:31.680 There's some people who are soldiers
01:54:32.840 and there's some people who are civilians.
01:54:34.780 But your role is to be part
01:54:36.500 of the collective immune system against this anti-human future. And one simple way you can
01:54:40.960 do that is to share this conversation with literally the most powerful people that you
01:54:46.000 know and ask them to watch it and to share it with the most powerful people that they know.
01:54:50.780 And if you've done that, you can say, as long as you are spreading the word and being part of that
01:54:54.860 immune system, you can rest at home, kiss your children at night, focus on the things that all
01:55:00.060 of this is about anyway, which is what do we love about the world? What do we love about life that
01:55:04.940 we want to continue and come from that place because that is the energy that we will that
01:55:09.580 will inspire other people to want to take those those other actions too and i know gevin you
01:55:13.680 ended up watching an earlier presentation that we did the ai dilemma yeah i think somebody said
01:55:17.580 that you watched it like three times and shared with all your staff how did you end up hearing
01:55:21.360 about it yeah well i mean come on hearing about it from you guys uh you guys i was able to get the
01:55:28.300 early preview from the two of you and was able to devour it, took notes, and then shared it
01:55:36.900 universally with everybody around me. Look, you know, in the spirit that you guys just ended,
01:55:42.180 I couldn't agree with you more. This notion of agency is so important. And we talk about that
01:55:46.020 on the podcast all the time. But this notion of the future, it's not something to experience,
01:55:49.600 something to manifest. The future is inside of us. And so it's decisions, not conditions.
01:55:54.620 That's exactly right. 0.99
01:55:55.500 And so this idea that we are powerless, it's just bullshit. 0.99
01:55:58.760 Yeah, that's right. 1.00
01:55:59.180 It's complete bullshit. 1.00
01:56:00.480 Yeah. 0.99
01:56:01.120 Everything that we laid out is an opportunity to do better and be better.
01:56:05.680 And I think the spirit of the called arms for everybody is we all have a role to play.
01:56:09.560 And those roles are different.
01:56:10.900 And no one has to be, you know, you don't have to be overwhelmed.
01:56:14.420 But this notion of just being present in the conversation and indulging in the conversation and sharing it, I think, is foundational.
01:56:22.240 So, guys, this is really important.
01:56:26.060 The timeliness of this conversation, it cannot overstate.
01:56:31.600 And so I'm very grateful for you to be out on the road all across this country sharing this remarkable documentary.
01:56:38.300 I encourage everybody, go out and watch it.
01:56:40.480 And more importantly, share it and not fall prey to any of the cynicism and negativity.
01:56:46.760 Maintain your sense of optimism.
01:56:48.900 Again, we can shape the future.
01:56:50.460 Thank you both.
01:56:52.240 Hi, this is Kylie Brakeman,
01:57:00.420 Angela Jaritana,
01:57:01.380 Jeremy Culhane,
01:57:02.060 Patrick McDonald,
01:57:02.700 and we're the hosts of the Artists on Artists on Artists on Artists podcast.
01:57:06.820 The Improvised Character Comedy Podcast,
01:57:08.840 where each week a new panel of artists discuss their craft.
01:57:12.660 Join us for a panel of Eurovision participants.
01:57:15.740 And we do a little Halloween sometimes.
01:57:17.960 Does the Pope dress up?
01:57:19.280 He winks on Halloween.
01:57:20.940 He gets right up next to the microphone.
01:57:23.300 I hear you can almost hear the eyelashes hit each other.
01:57:26.400 You've never seen Italy so quiet as when the Pope gets up to wink on Halloween.
01:57:31.720 Listen to Artists on Artists on Artists on Artists every Thursday on the iHeartRadio app,
01:57:36.220 Apple Podcasts, or wherever you get your podcasts.
01:57:39.200 So like by age 11 or so, at least 70% have a phone.
01:57:43.660 I'm Dr. Joy, and this is Therapy for Black Girls.
01:57:46.240 We spend our surviving middle school run getting into what's happening inside your kid's brain
01:57:50.880 their group chats, and their friendships, and what you can do about it.
01:57:54.480 Your child is not doing this on purpose.
01:57:57.100 That's the kind of perspective we've been pulling from the psychologists and psychiatrists who study this for a living.
01:58:01.740 Listen to Therapy for Black Girls on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
01:58:08.380 Self-Care September is your reminder to slow down, check in with yourself, get off your phone, and maybe ask, why am I like this?
01:58:16.920 I'm Gemma Spegg, host of the Psychology of Your Twenties podcast, and this month we're
01:58:21.520 helping you make sense of the person that you are becoming, from setting boundaries
01:58:25.460 and navigating friendships, to understanding anxiety, confidence, relationships, and attachment.
01:58:31.780 Sometimes our biggest decisions, without us even realizing it, aren't driven by what
01:58:36.620 we truly want, but by what will prevent us from feeling lonely or being alone.
01:58:43.540 Listen to The Psychology of Your 20s on the iHeartRadio app,
01:58:46.920 Apple Podcasts, or wherever you get your podcasts.
01:58:49.920 Whether you're a seasoned NFL fan or new to the game,
01:58:53.000 there's one place to keep up with all of it.
01:58:54.900 The league's newest podcast, The NFL Report, hosted by me, Andrew Siciliano.
01:58:59.800 It is your home for everything football.
01:59:01.720 Breaking news, expert analysis, game picks, and hear from your favorite players too.
01:59:05.740 Join me and an all-star cast of experts for everything you need to know from around the league.
01:59:10.400 Get new episodes of the NFL Report Monday through Friday all season long.
01:59:14.580 Listen to the NFL Report podcast on the iHeartRadio app,
01:59:18.240 Apple Podcasts, or wherever you get your podcasts.
01:59:22.620 Hey, it's Bobby Bones.
01:59:24.220 Join me and former NFL quarterback Matt Castle every Wednesday on our podcast,
01:59:29.140 Lots to Say, with me, Bobby Bones, and Matt Castle.
01:59:32.440 You're in training camp, and the rookie quarterback has one good throwing session
01:59:36.560 in front of the media.
01:59:37.640 Suddenly, everybody online says he should start over you week one.
01:59:40.720 How do you handle this?
01:59:41.580 You just go back out to practice the next day and wait for him to mess up.
01:59:44.940 Listen to Lots to Say with Bobby Bones and Matt Castle
01:59:47.240 on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
01:59:52.060 The World Cup is over, but if you caught the soccer bug
01:59:54.560 and aren't sure what to do now, check out our podcast, Big Kick Energy.
01:59:57.880 I'm Cameron Dicker, the kicker from the Los Angeles Chargers,
02:00:00.960 and I'm here with Timmy Tillman, current LAFC star player.
02:00:04.380 So, we know a little something about kicking balls.
02:00:07.320 Each week, we'll tackle things like
02:00:08.880 who's winning the Premier League this year?
02:00:11.000 What do you think is harder,
02:00:12.640 scoring a penalty kick or scoring a field goal?
02:00:14.780 Join us each week for a quick chat
02:00:16.600 with your soccer-loving bros
02:00:17.720 about the best sport in the world.
02:00:19.260 Soccer.
02:00:19.920 Just don't tell my coaches I said that.
02:00:22.140 Listen to Big Kick Energy on the iHeartRadio app,
02:00:24.800 Apple Podcasts, or wherever you listen to podcasts.
02:00:27.800 Hey, what's up? I'm Tony Gonzalez.
02:00:29.260 And I'm October Gonzalez.
02:00:30.680 But you can call me Toby.
02:00:31.620 We want you to join us on our new podcast,
02:00:34.380 No Safe Words with October and Tony Gonzalez,
02:00:36.560 We get real about marriage, parenthood, sex, divorce, and all the nitty gritty stuff we all think about.
02:00:42.720 But just don't say out loud.
02:00:43.800 You're probably just going to meet some rich guy and he's going to whisk you away.
02:00:47.400 Listen to No Safe Words with October and Tony Gonzalez on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
02:00:57.140 This is an iHeart Podcast.
02:00:59.700 Guaranteed human.