The AI Fight You Need To Be Watching.. (& What Everyone Is Missing) | IGQ Live

26:07And of course, you know, in times of war or in times of emergency, like in COVID, they did enact the Defense Production Act for things like masks and vaccines and that sort of thing. So if it's a dire time of emergency, things change, but that's not the moment that we're in. So yeah, so that's how I would answer that question. Okay. If the government doesn't want to face ethical pushback, like with Anthropic, then it has to build its own AI and

26:36Sinead Bovell:leave private companies out of it. That will only leave the citizens as the last line. Yeah, I mean, it's a really tricky trade-off, right? Because on the one hand, of course, the private sector is more innovative and they move faster and they get capital at much cheaper rates. And they just tend to be a lot better with science and technology and with markets. And government's best role is guiding the private sector in those ways. But yeah, when you come up against a red line of ethics and how citizens end up sharing that technology or sharing that service. Or when you think, oh, well, my subscription revenue is actually going to fund this thing.

27:14It creates huge questions to be answered. We have a few different questions in. I'm a big fan of perplexity. So perplexity is another one of the AI engines. So this is from Bree OB. I'm a big fan of perplexity, but I fear I've not even scratched the surface yet. I think most people haven't scratched the surface of what these AI tools can do.

27:35Sinead Bovell:I mean, we're still only three years into this game, and this is going to be a decades-long horizon with this technology. This is a long horizon technology. So we are at the very beginning of our journey with this. And you know what that makes me think about? And we're going to pivot away from geopolitics and AI in the war in a second. But the final thing that I want to say about this. Where we are in this moment with generative AI and the impact that it's already had and the situation between Anthropic and the Pentagon, this is at a point in time in AI's journey where the technology still isn't, it's amazing, but then at the same time, it can still be catastrophic.

28:18It can make ridiculous errors and make a lot of things up and completely lose its sense, imagine when the technology actually always works as planned. Imagine if and when we do get to that scenario of, let's say, artificial general intelligence or whatever it is that we want to call it, where AI is more capable than the average person at everything, is far superior than most people when it comes to intellectual domains as we currently see them at everything. And what happens then? What are the pressures private companies will face in these types of moments? Imagine when AI actually lives up to the hype and it's not making these mistakes and the temptation to use this technology in war and how that could get not even just in times of war, even in times of peace to continue to front that kind of threatening posture.

29:17Sinead Bovell:what could be possible and what that power is going to motivate or incentivize people to do. I mean, we're so early on. And that's why I think it is good that people are asserting themselves in this moment and kind of raising their voice and even anthropic to say, we have to have a conversation about this. Because this technology is moving much faster than I think we realize, even though it's making a lot of mistakes, what it can do today versus what it could do three years ago is quite stunning and what it's going to be able to do in three years from now is going to be more stunning so imagine what it could tempt bad actors or actors that feel like they want to exercise power to do okay AGI in 2028 according to Elon so this is mastermind and if you're not familiar with what AGI is artificial general intelligence this is kind of like this invisible line that nobody can actually see, nobody can define, nobody knows if it's actually like northeast or northwest, but everyone's moving towards it somehow, backwards and blindfolded.

30:26But hypothetically, if we reach what is artificial general intelligence, it's AI systems that are equal to or smarter than humans at virtually everything that we would do in terms of intellectual activities or tasks.

30:41Sinead Bovell:And that is technically the holy grail that most AI labs are moving towards, particularly the American ones. Some people say that we'll reach it in the next couple years. I tend to, I do like Demis Hassabis is the CEO of Google DeepMind. And he seems a bit more rational with his AI forecasts. And he puts AGI at around 2030 or onward. And I would say that that's fair. But what we also don't know is we can't predict a breakthrough. And one of our 2026 predictions for IGQ was that there will be an architectural breakthrough at some point on the horizon that changes the course of artificial intelligence development.

31:25Sinead Bovell:The same way there was the deep learning breakthrough, and then there was what we consider now generative AI, but the transformer breakthrough, the architecture breakthrough with the paper about six years ago now, that there will be a new breakthrough that pushes the frontier of artificial intelligence. And we actually talked about this in an episode on AI and biology. Quite stunning. You know, AI and silicon isn't where the story stops. Scientists are training artificial intelligence systems on neural cells from actual human brain cells. And so AI is going to start to learn in a way that actually mimics the human brain, not just in a way that is aspirationally towards the human brain.

32:09And that's going to accelerate AI. And I mean, according to, and I'll let you see that episode because the scientist, the brain scientist, is quite convinced that that leads us closer to the world of consciousness and all sorts of other things. But yes, it's possible that there are different breakthroughs in artificial intelligence that then accelerate how fast we get to the next frontier of AI. And I don't think generative AI is where it stops at all. So this was topic one that we wanted to get through, AI versus, Anthropic versus the Pentagon. The second area that I wanted to discuss, and I'm going to go through actually some of the comments and then we can jump into, I don't know if how many of you read that report, the great intelligence crisis about, it was a fictional scenario about what AI will be able to do and what that means for jobs.

32:56But I'm going to go through some of these questions here. You should never assume that AI will never be able to do anything. Yeah, that is a comment that I do say quite frequently. Every time we say that AI will never be able to do something, draw, sing, write, we end up being wrong about that prediction. So my philosophy is it's better to think what are the things AI shouldn't do than to just randomly assume it will never be able to do that thing. Because those are two different things. One category is this is something that we actually feel like is offside for an AI. The other is, oh, we don't even need to worry about it because AI won't be able to do it.

33:38And the next thing you go to bed and you wake up the next morning and it's live to air and AI has never been better at it. So yes, I have retired the same. Don't worry, AI can't do that because we always end up on the wrong side of history on that one. I'm a teacher at university. How can I help my students? I ask them to use AI and to teach me. I'm asking them to use AI. I think that's a good place to start. I do do a lot of work with teachers and universities. And we're in a really tricky moment because we are literally building the plane and flying it at the same time. AI is totally here.

34:13Sinead Bovell:So it makes no sense for a school or a class to pretend it's not and then assign homework as if AI just hasn't been invented yet. So my advice in the short run is to assume that everything that happens after 3 p.m. with your students is going to be powered by a supercomputer. And so you have to assign assignments and homework to accommodate that, to account for that. because if we deny the fact that AI exists at home and on people's laptops and on their smartphones, we do end up short-circuiting the thinking when we ask people just to not use it because then they do and they're going to offload.

34:50Sinead Bovell:I mean, we are humans. We are biologically wired to take the path of least resistance, to expel the least amount of energy. So people are going to go home and offload their essay to AI. So instead, you have to design homework or assignments in a way that either the deep thinking happens in class or whatever does get assigned at home. It doesn't matter if an AI system, it's irrelevant that AI is involved because of the nature of that assignment. And so then that deep thinking, maybe orality, debate, that sort of thing happens in the classroom. That's what happens in real time. But part two of that is the curriculum redesign, which is kind of the broader systems change that needs to happen.

35:28And this shouldn't just be falling on, this shouldn't fall on teachers. I mean, they have so much on their plate. But this is the curriculum. So this is like ministries of education, department of education. This is that level

35:38Sinead Bovell:zooming out and whoever is designing curricula at various universities and seeing, you know, where are we in this moment? Right. Like, where are we actually in this moment? Where is our curriculum in this moment? And what future or past is it preparing people for? and the challenge that a lot of teachers will come up against or curriculum designers will come up against is well i don't know what the future is going to be ai keeps changing every day and and then there's also this quantum thing over here and everyone's going to space over there so i actually don't know what to teach and that is actually an answer right so if we don't know where the future is going and all we know is that it's going to be underscored by artificial intelligence and quantum and synthetic biology and space and all of these other things is that we have to prepare kids for anything, right?

36:30Sinead Bovell:So that's a very different type of curricula where it doesn't matter which way the future goes because you've equipped kids with the foundational skills that they're going to need to thrive, deep thinking, problem solving, strong judgment skills. So if the curriculum is designed in that way, it actually doesn't really matter what happens in the future because kids can thrive in it. And that's going to take a longer adjustment. Universities and schools are starting to work on it. And I know because I'm in some of those rooms. But for the meantime, it is adjusting the kind of short-term shift is what happens in the home and what happens in the classroom that has to change to prevent the circuiting of thinking.

37:07EdTech technologist here, in your opinion, which company will win the AI arms race in education?

37:12Sinead Bovell:Oh, in education. I've never heard it worded AI arms race in education. That's really interesting. I didn't know that it was an arms race in education. I'm not actually sure. It's actually, I'm not entirely even sure that the way AI is being implemented into schools today is the best way or going to be the way that it stays. Because here's what tends to happen. We tend to look at the future as just this extension of the present. And so all we do is we take what we're doing in the present and say, okay, how can we slot AI in? And that's not actually how the future works because the entire system changes.

37:59It's like not changing our roads that were once designed for horses. We had to rebuild them for cars. So what tends to be happening in education right now is slotting AI on top of a system that was designed in the Industrial Revolution. And that's only going to get everybody so far. It's going to have to be that system-wide redesign to account for the fact that the world is changing and what education, how and when and what education was built for, that world is come and gone. So it has to actually look different. So that's a long way of saying which company is going to, which AI company will win the ed tech race.

38:39Oh, I don't even know how well the ed tech, what, how well the ed tech race is going, to be honest. I think that that whole thing is going to have to look quite different. Yeah, I mean, because if I was to say most kids in school today are going to work in 64 industries in their lifetime, and they're going to work on average 20 hours a week, and 84 % of them are going to work in space. Is what we have today sufficient for that much of a nonlinear shift? because that's what the future is. It's a nonlinear shift, right? Going from agriculture to an assembly line is completely nonlinear, right? The skills would have been entirely irrelevant from the agricultural age to the assembly line.

39:27Like that was an entirely nonlinear shift. That's what's about to happen again. We're in another industrial revolution. So so much has to change outside of just putting ed tech on top of what exists today. Okay, so the Great Intelligence Report that I mentioned. Okay, so let's talk about the Great Intelligence Report because this will, this matters for, it could matter for a lot of us or maybe it doesn't. The Great Intelligence Report, it was essentially a blog post released on a sub stack a few weeks ago. And it sent markets spiraling. So it was a fictional scenario about in 2028, AI gets to a point where it is quite capable.

40:14So companies start to deploy it more and more in the workforce and start to actually lay off a lot more white collar workers. And that's because most AI is, and this is kind of the reality of where the tools are today, they're much more equipped to come after white collar jobs. white collar jobs. And I say that even with my own job, jobs that are on a computer, jobs that are considered more knowledge workers. That's what these AI tools are currently capable of. That's the type of work that they're starting to learn how to do, things that happen on a computer. So how the fictional story in the great intelligence crisis goes is that companies start to be able to replace some workers with artificial intelligence, particularly in software companies, especially in things like code and roles like coding, because that is one area AI is pretty good at, but other areas in software companies or in companies, they specifically called out companies like Visa and DoorDash.

41:13And so as these companies start to deploy more and more AI, they start to fire more people. Now, the economy looks like it's thriving because GDP is going up because the national account looks really good because these companies are getting more and more and more productive. But on the other side, they're firing a lot of people. So the economy is actually not functioning as it should because people can't afford to buy things. So the more people that get, the more people that lose their jobs, that changes their consumption pattern. So they don't buy as much goods and services as they did because they no longer are employed.

41:51That spiral starts to cascade. So the more firms deploy artificial intelligence and the more people they fire, the weaker consumption gets in the market because the more unemployed people, the fewer things that they can buy. And then you get what they call in the report this ghost GDP. So the economy looks really good from one vantage point, but there's nobody actually in it buying anything because unemployment goes, I think, up to 10 percent in the report. And eventually it just gets to this inflection point and it collapses and it crumbles. I mean, it knocked IBM stock double digits, this report.

42:28And it also comes from the idea that AI can do a lot of what software companies currently do. So moving towards a future where instead of me saying, okay, I want to, and this would be from the perspective of the report, I need to go on DoorDash and I need to pull out my order and pick the restaurant. I can just soon tell an AI to design me that app if that's what I need in real time. Everyone can just get software on demand. Nobody really needs to stream from a software company or software as a service company. That business model starts to make less and less sense because those companies, they're essentially, they store a lot of data and then kind of market that back out.

43:06But they don't, the services they provide in terms of software, AI is increasingly getting better at doing. AI can create software on demand for an audience of one. And I guess part two of that point is as unemployment starts to rise and people start to buy less things, companies have to use more artificial intelligence to cut costs. And then that's how the whole thing spirals even more. So that's not a new thought experiment. Economists have been thinking about that with AI for close to actually a decade. I was at an economics conference two years ago in California, and this scenario was modeled.

43:42What happens if AI starts to get better and better so companies are able to replace more people with it, but then those people stop buying goods and services, and so who's even in the economy? The challenge with that perspective is that it assumes that everything else about the economy and markets and people and policy stay fixed, and the only thing that changes is this one variable. AI replaces people. It doesn't account for the fact that policy can be flexible. Workers can have bargaining rights. Consumers change buying patterns. Changes in surplus revenue can spur new types of innovations and new types of products and services.

44:31So that part, markets are really complex. They're this emergent organism that moves in very nonlinear ways. And they treated it all as linear. But we're also missing the fact that even if AI, let's say AI can do a lot of jobs that we would consider to be knowledge work today. And that's not actually entirely hypothetical. As AI starts to improve, some of the tasks, more and more of the tasks that we see in the workforce today, AI will increasingly probably be able to take over. What that timeline is, and we can get to that in a second. but markets and jobs and work and innovation and goods and services aren't static we start to produce new things because our needs and desires change because we're in a different economy so when we went from it's like going from the agricultural era to the industrial revolution and then everything just stopping no we continued to innovate and now we have the knowledge economy So the real question is, what does the economy become when intelligence as an input goes to zero in terms of cost?

45:48What does the economy, how does the economy reconfigure when intelligence as an input is abundant? What is the shape of that economy? And it will be something. It could be very unrecognizable. It's going to reconfigure. It could be reconfigured in very strange ways. But it will reconfigure itself the same way it would have been impossible to imagine the idea of a social media manager during the Industrial Revolution. Like, oh, well, don't worry. Things are going to eventually continue to change and eventually people will be swiping and managing influencers on Instagram. I mean, it's just impossible to predict the nonlinear ways markets reconfigure themselves as technology continues to evolve, automate, and push the frontier and expand what becomes possible.

46:32But new things will become possible. So I think that that's what that analysis misses. It doesn't treat intelligence as an abundant input what the economy reconfigures when that becomes the future. uh what the report though i think does get does point uh does call attention to that i think is important is the speed at which this change and this unraveling and this replacement could happen it is possible that jobs disappear faster than new ones get created so the industrial revolution um it was a nightmare but they had they also had 90 years now i'm looking back on the industrial revolution. I'm like, guys, you had 90 years to figure this out.

47:19Why was it so chaotic? We have about nine minutes. But truly, imagine that change, right? About 75 to 80 percent of people did something different over the course of 100 years. What happens if that happens in 10 years? So not an industrial scale change, but over a decade. So we eventually do new things and we reconfigure work and the economy in entirely unrecognizable ways. Great. We have been there before. But if that compression is 10 years, that's what I'm actually concerned about, the disappearing faster than the economy can reconfigure itself. And that's the question that I think we need to hear answers from, from policymakers.

48:01And if you've been listening to me on IGQ or if you've been following me on Substack, you've heard me call this out over and over again. we've heard enough about AI sovereign AI we're going to bring it all home we've heard you amazing what is the plan for the people in the economy whose jobs AI may automate and I know AI and automation doesn't make for the sexiest campaign pitch like oh I'm the person that's going to talk to you when you have no job because of artificial like obviously that's not the best slogan for somebody's campaign but someone somewhere at some point is going to have to talk about it because that transition is coming and we can see it.

48:40And one of the things that I also bring up quite frequently is even something like insurance. If your health insurance is tied to your job, we are moving towards a more independent contractor-based future because as AI continues to learn new tricks over time and that requires different skill sets to pair with it, companies are going to be less likely to hire full-time roles because that role is going to look, who knows what it's going to look like in a year.

49:03Sinead Bovell:So we're going to see the rise of more contract work. Great for the contractors. What does that mean for health insurance, right? And dental insurance and social security and all these things that we can see. And that's going to be, that's happening like time now. And we don't hear much from policymakers about that. So I think the report calling attention to the lack of safety nets we have, we are starting to see some policymakers talk a little bit more about jobs and transition and skills. But it's time to really get in the game with that conversation because that part could unravel over the next couple years faster than it seems like anybody is preparing for.

49:39So that is the great intelligence crisis report from the Centrini. Centrini is a research organization, I think a research finance analytics company. So they published that on Substack a couple weeks ago and it just sent markets into a spiral. But that also shows the strange, probably unhealthy feedback loops between social media and markets. Did it warrant that much of a sell-off because of a fictional blog post in 2028? Really well written. A great thought experiment. I hope some policymakers woke up and smelled the AI potential automation coffee. But did it warrant that sell-off? No, I think some of that has to do with social media and things trending.

50:25And I think we're going to

50:26Sinead Bovell:have to think beyond that if we're going to get through anything in the next couple of years. Okay, time for some questions from Jordan. Health insurance isn't really U.S. strong suit. Yeah, that's another thing. And I would actually rather just talk about it. Health insurance, and I know it's a privilege for many countries who have it. And I know some countries are struggling with just with basic GDP and so the idea free health care is just that people are just trying to survive so I I totally understand that um but in economies where health care could be an option they're gonna have to have that conversation because let's say 2028 20 we'll use a different year just because we all have you know PTSD from that report 2029 And let's say 67 % of the workforce is independent workers and contract workers in the U.S.

51:22So no health insurance that's tied to an employer. What would be the plan? And it actually would be really tricky to say, okay, everybody's self-employed. Get your health insurance together in four years. The infrastructure just isn't there to support that. So countries that aren't offering or even considering free health care, they're going to actually be forced into that conversation. as a social safety net. And this is where AI can come into play. This isn't about people always, oh my gosh, running into the socialism field. That's not what this is actually about. AI companies, if they're going to be winning economically in this future, based off of our data, we should all get a ride on that elevator up, right?

52:07So everybody should get a part in AI's success story because it couldn't have been made without all of us and our data. So that's where different taxation models start to come in and no UBI can suck out of all the air out of the room because then we think, oh my gosh, I'm going to be floating in my pool and get a check from an open AI. That sounds like a nightmare. But that's not even what I'm talking about. I'm talking about just at a bare minimum, there should be changing tax structures to ensure that we're all getting a ride on this AI story because we're all a part of it. And something like that could support a new healthcare model.

52:41So it doesn't have to be this kind of like physics bending equation. It just can be quite basic, but we can see that coming. So something we're going to have to think about. For the future of work and AI, what are your top five resources to stay informed? Well, of course, I've got questions. But if I was to say, what do I used to stay informed about it. So I read a lot of research reports, a lot of academic papers. I'm following a lot of patents and acquisitions. My data and research diet is a little bit different. Bloomberg, I think, is actually pretty great, but they're kind of expensive. But Bloomberg has a good eye on all of this stuff.

53:26I do like MIT Technology Review. They don't necessarily get into the future of work, though, but they do get into artificial intelligence. They track it quite well. The Atlantic has some good stories. Oh, it's tricky, right? Because it's all so disaggregated. What else do I follow? I do actually like Substack. There's so many people that I follow on Substack or so much content that I see on Substack about AI that's really helpful. So I think if, yeah, if you can even just get on Substack and start just searching some of the AI content, I think you'll also see a lot there. And of course, we'll continue to keep you in the loop on AI.

53:59And I actually write a lot about this stuff on Substack 2. Yes, so we have a comment here. This reminds me of an article I read recently about the 1973 MIT computer's prediction of the end of civilization. Right? How did Y2K go? Did everyone survive? Or are we still looking for people? I know, it's funny, right? We have these forecasts about it being the end. Even the idea. So, and this might be a hot take. I don't think it is. but a lot of people in the ai industry think that ai is going to be humanity's last invention because we are inventing something that also invents um and so it may be humanity's last invention that's not with an ai but i think we will ai will just be a big input to the things that we invent going forward uh because ai it doesn't have desires right this is not a system that's alive, that has wants, needs, in the ways that humans do.

54:57They have goals set by, that's a whole other thing. But sure, they have programmed goals and they get rewards if they're doing reinforcement learning and that sort of thing. But they don't have actual desires and feel competition and scarcity and all of the things that we humans are motivated by for better or for worse. So we're still going to continue to want and to expand and to compete and to win. and that's going to continue to push the frontier forward. So this may be humanity's last invention without AI, but I think we're just going to step into a new era where it's AI-powered invention, which is an entirely new thing.

55:33AI will also invent on its own. It will probably spot gaps in data and come up with an idea for something that nobody had suggested and it just kind of, you know, drop something in a suggestion box that nobody had thought about. That will also happen, but I don't know. I don't think that this is our last invention. Everything was the last of everything, And here we are now still today, literally live streaming. Do you recommend any books or thought leaders to follow? It's hard to know where, who to look to. Oh, books. I have a huge library of books. It depends on where you're getting started. Let me have a look.

56:13Okay, so if you want actually a great book and a great person to follow on the future of work, and thank you for this question because it reminded me. um ethan malik and i have his book here uh called co-intelligence um ethan malik he posts on linkedin or on twitter so and i think he's also on threads uh so wherever you are he's he posts there um and he's great he constantly talks about where where the frontier of artificial intelligence is so this is what it can do today it can do this in radiology it can't do this in law so he's actually a great person to track and he posts a lot of different studies about artificial intelligence so if somebody said one person, I mean, that's a lot of pressure.

56:49But I would say he would be a great person to follow. And you could also read his book, Co-Intelligence. I do love Joy Bulamwini, Dr. Joy Bulamwini, her book on masking AI. If you want to understand how AI impacts our rights, our privacy, the ethical implications of this technology. Her book on masking AI was amazing. if you want to understand where could this possibly go where how advanced could this technology really get and what would that mean for society you could read genesis um this is by eric schmidt um henry kissinger and i think it's uh yeah craig mundy uh so that would be another great book recommendation if you're trying to think okay how far could this technology get And just to kind of put in context the types of ideas.

57:41So Eric Schmidt, he was the former CEO of Google. And he goes viral all the time for his different takes on AI. And he's right in, he's in the lab rooms. He's in the U.S. security rooms. He's at the frontier of where all these developments are happening. And so some of the ideas are, you know, in two years, all of us would be able to say to an AI system, make me a competitor to TikTok. and if it's not beating TikTok in two hours, let's rebuild. And you have an AI system that can build a TikTok competitor like that. And that's going from voice to software. So from a prompt to software. And that's the pipeline that we're on.

58:20And that's actually going to be possible. Truly, that's actually not a fictional scenario. We will get to a point where the cost of software generation falls and collapses to near zero. close to just generating a website oh i built an app but here's what people miss like a part two because everyone's like oh my gosh five code i have 500 apps but when everyone can build a tiktok what is the business strategy the marketing strategy and the competitive advantage that you have implemented that brings people to your app over the other competitor over the 500 others So all that intelligence does is raise the floor.

59:01So more people now are in the game, but the bar is actually more challenging to compete. So that is an entirely different type of skill. Right. So then that's much more strategy thinking. That's much more judgment. That's understanding the fundamentals of business dynamics. So it gets more interesting. So it's a lot more complicated. There's always a part two to some of the grand ideas. But those would be some of the books and places I would start. Someone said they're currently reading Unmasking AI. Great. I love to hear it. Create a list of Amazon affiliate link books on AI that you would recommend.

59:36Would people appreciate if I did that? I guess I could do that. I never considered myself an organizer on Amazon, but that could actually be very helpful for folks. I'm trying to think of any other books in here that I really enjoyed. If you want a great cybersecurity book, not to go back to the wars, with AI, but this is how they tell me the world ends. It's an amazing cybersecurity book, and it takes you right into how much of our infrastructure is actually cyber infrastructure and how that underpins everything about the modern world and how vulnerable it actually is. And the world of spies and hacking, it talks about geopolitics.

1:00:21So if somebody's really interested in cybersecurity and how that underpins our modern world. This is how they tell me the world ends. It's fascinating. I'm trying to think if there's an optimistic take on the future. I have so many. Mustafa Sullyman's book, The Coming Wave, is also great. He talks about what we have to try to do, what we have to regulate, how capable AI is going to get, what we can do, what we can't do. I'm trying to think what else. yeah those i think would probably be my my book recommendations for now um okay i'm going to get through some more questions because we've been chatting for an hour and thank you all so much for coming to our first live we hit over 100 people today which has been amazing um i really wasn't sure how many people would show up because we did it quite last minute and i've never done live on youtube uh and i was also hoping it would actually work it's so funny i'll do sometimes you

1:01:18Sinead Bovell:presentations on neural interfaces and then the internet doesn't work and it's like, if you'll excuse me for a second, I'll just call R2D2 and get the internet powered up. And just to also leave you with, you know, so what should you be doing in this moment, right? So we talked about Anthropic at the beginning. We talked about the great, you know, intelligence crisis. What does all of this mean for you? And I would say with respect to Anthropic and the Pentagon, it's not like everyone get in your car and drive to the Pentagon or drive to Anthropic and, you That's obviously super not really helpful.

1:01:52To continue to read, if you can, and to continue to see how these dynamics play out, because it does actually help how we vote. It does actually help which products we choose to use and not use. You know, our buying power is actually a pretty important one. and especially if you live in America it seems like you know this the stock market even though Anthropoc is a private company but markets in general money in general seems to be quite a big incentive so if you can continue to just track some of this a little bit if you have the bandwidth I know that there's so much going on but it does help to it does help even in the background of how you start to make decisions about this technology because this technology is a really big deal right And it's going to impact all of us.

1:02:41We all deserve to have our voices heard in it. This is a foundational technology. All of our data went in to train it. So we should all get a say. And it's really hard to insert your voice if you don't necessarily know what's happening. So this is one of those stories that I would say just keep an eye on it if you can and start to see how it plays out. That would be my advice for Anthropic. with the great intelligence crisis I mean we kind of talked about there will be more coming into the economy it just hasn't really been invented yet but what do we do and this is something we talk about a lot on IGQ we're cultivating our skills now right not not waiting to see how fast AI develops what it does next the bit the next company announcement things are changing some in some ways faster than people had assumed and in some ways slower and that kind of jagged edge is going to continue to go.

1:03:33Build your judgment skills. Start using this technology. It's not going away. It's going to be as pervasive as the internet. In fact, it will event in the next year or two, it will be eventually just like a computer. Like when you get to the job, it's assumed you can do it. So start using this technology. Start getting good at giving it orders and evaluating what it tells you. Is that actually good or is it kind of nonsense but sounded really intellectual. So start using this technology, start to improve your communication skills, start to read more so you can start to strengthen your critical thinking.

1:04:08That's one thing that I've been doing a lot, actually. I mean, I do have to read a lot for work, but even I've been doing even more reading. I've been doing a lot of writing. I'm going to show you even some of my, I write a lot. I, when I go to meetings, I bring a notebook and I am drawing to, these are like business models, literally and i am drawing them out um and and and seeing how different patterns connect and really trying to exercise those critical thinking muscles so i'm continuing to read deeply if you can um continuing to play with artificial intelligence use these tools even if it's just making recipes and just so it's a part of your daily workflow in some way really important um exercising good judgment skills um breaks from technology actually help because i think we know that um especially through social media and what it's doing to some of our attention spans and so forth.

1:04:56So all of these are kind of like the soft power skills that are going to help you in a world with AI. And we actually have, and we can link it once we repost this episode, an episode on the seven skills for the AI age. And I go into each one very deeply. And so all in human skills, emotional intelligence, all that appreciates and values. So continuing to exercise these skills is really important. And even, you know, even small things, sometimes when I'm tempted to send a text, I actually pick up the phone to continue to practice that emotional intelligence skill, skill of compassion, of reading people, of understanding people.

1:05:30Because when you think about it, and here we go again, next spiral. When you think about it, if AI continues to improve at the rate it does, and I just noticed chocolate, so whoever put that there sabotaged me. If AI continues to improve at the rate that it does. And I have the choice between a decent AI system or a person with similar skills, but they're funny and they are emotive or they build the company culture or team culture, or they're just fun and enjoyable to work with or just kind. I'll probably choose that person, right, over an AI that's maybe not as good, but cheaper. I'm going to go with the person.

1:06:10So it's going to start to matter in the workforce, right? How you show up around other people. So those are other things that we can practice every day. And you can literally practice that at the grocery store. You don't need to go get a degree for it. So little things like that. And I'll finish up with this one question that came in. Yes, human contact will become the why. Human contact is going to become really interesting. There's probably going to be an entire new economy coming around that. Or just innovations around that. Thoughts on the future of creators? Will more individual creators be the owners of their IP, movie, studio, record label, etc.

1:06:45at scale like Disney, Marvel, Pokemon? Right. So you're asking, does the creator of the future become the enterprise? And this is really interesting because in some ways, yeah, if you think about what AI means as a technology, you're going to be able to stream intelligence and stream some of the capabilities that some of these massive enterprises, these massive studios have. in the coming years, AI stems will be able to replicate some aspects of that, not all. And not, I mean, because creativity is much more than the technical execution skill. The idea behind that script to begin with, I mean, AI could write an amazing sounding script, but it actually doesn't make any sense or it doesn't actually move people in the same way, but it can write well.

1:07:29Those are two different things. But sure, there is a future world where the individual is just as leveraged as the modern day studio. But I actually don't think that's entirely where we go because I think we're going to be doing different things in the future with this technology. So in theory, what you're asking is if everything stayed the same and we continue on this trajectory, and it will be for the next couple of years, will we start to see creators start to go head to head with some of these entertainment studios, one, because of the nature of social and people owning their own audiences and having much more engaged communities, and two, because they're going to be much more leveraged.

1:08:15They have a following, then they have AI, and they have all of these different tools and capabilities. Theoretically, yes, they could start to compete with movie studios or entertainment studios, and not because the content is better, but because the market wants different things. So what the creator offers in combination with all these new superpowers is maybe where the market that fits the needs of the market at that time. I think we're going to start to do something new and there's going to be a new crop of creators that come up that do something kind of AI first that's going to be really interesting.

1:08:48But yes, I think, I mean, even the entertainment studios, Hollywood has been impacted and traditional entertainment has been impacted by social media, by YouTube, by streaming. so it's technological innovation has already started to impact the way traditional studios had set up and how those business models were structured so that's probably going to continue to to go to continue to accelerate that trend but yeah creators will probably be highly leveraged over the next couple years until something new happens and new something new comes along right because the future it's non-linear so things are coming that are hard for us to see okay so this This was really fun.

1:09:27Thank you so much guys for coming out. I love this community so much. Your questions and I read your comments on the podcast on YouTube. I try to respond to as many of them as I can. So thank you so much for your support and we will see you at the next live.