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Podcast Episode Summary: The Rise of AI | Living in an Artificial World | Episode 4
Podcast Background
Podcast Title: Business Wars Description: Business Wars explores the competitive battles between major brands and industries, detailing the dynamics that lead to their triumphs or failures. Hosted by David Brown, the podcast provides an in-depth look into what drives companies and their leaders.
Episode Overview
Episode Title: The Rise of AI | Living in an Artificial World | Episode 4 Description: In this episode, David Brown is joined by Mike Calore and Lauren Goode from Wired. They discuss the current state of artificial intelligence (AI), its implications for the future, and how classic sci-fi films have portrayed AI technology.
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Key Themes and Discussions
- Current AI Landscape
- AI's Resurgence: After years of stagnation, AI is experiencing rapid growth with significant investment and innovations, particularly in generative AI.
- Concerns Around AI: Discussions include ethical implications, security issues, and the fear of AI evolving too quickly.
- Impact of AI in Everyday Life
- Integration into Products: AI is now embedded in various applications such as social media, language translation, and smart home devices, influencing daily decisions and interactions.
- Large Language Models (LLMs): These models, trained on vast datasets, can generate human-like text, which raises concerns about their accuracy and potential misuse.
- Creative Uses of AI
- Art and Film: AI is being utilized creatively, as illustrated by filmmakers experimenting with generative AI to augment personal memories or create new narratives.
- Examples of Innovation: A filmmaker used AI to recreate his childhood photos, showcasing both the creativity and emotional weight such tech can carry.
- Dangers of AI
- Misinformation: The potential for AI to create misleading content or deepfakes poses significant risks, especially in political contexts.
- Hollywood Strikes: The writers' and actors' strikes highlight fears of job replacement and ethical concerns regarding AI's role in creative industries.
- Legal and Ethical Considerations
- Intellectual Property Issues: Artists are suing AI art generators for copyright violations, raising questions about what constitutes a derivative work.
- Self-Regulation Challenges: Companies like OpenAI struggle to adhere to their self-imposed regulations regarding AI use.
- Future Predictions
- Consumer Navigation: Encouragement to develop media literacy to discern credible information amidst the flood of AI-generated content.
- Potential Developments: Predictions include the rise of driverless cars and more personalized content delivery through AI.
Notable Quotes
- “AI is having a moment... and it feels like an existential moment for humanity.” — David Brown
- “When you get to things like the nightly news or your morning newspaper, where absolute correct fact is required, the diciness of the outputs from chatbots can be a problem.” — Lauren Good
Conclusion The episode encapsulates the excitement and anxiety surrounding AI's rapid advancement. As AI technology continues to evolve, it is crucial for consumers and creators alike to navigate these changes thoughtfully, maintaining a focus on ethics, legality, and the impact on society.
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Recommendations
- Gadget Lab Podcast: For deeper insights into technology and culture.
- Wired Articles: Regular reporting on AI developments and implications.
Call to Action Stay informed by following trusted media outlets and engage in the conversation about the ethical use of AI in our lives and industries.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:06I'm David Brown and this is Business Wars.
0:31In case you haven't noticed, AI is having a moment. Well, maybe more than a moment. After weathering a so-called AI winter and years of upheaval, artificial intelligence is now everywhere, with billions of dollars of venture capital pouring in to build the next big thing. This doesn't mean our world is turning into Blade Runner, or going the route of idiocracy. Or does it? Brando's got what plants crave. It's got electrolytes. So wait a minute. What you're saying is that you want us to put water on the crops. Yes. We'll explain that one later, but the advancement of AI has a lot of folks asking questions about the future.
1:09What about security and ethics? Is AI getting too big too fast? Here to help us explore some of these matters are Mike Collori and Lauren Good. Mike is senior editor at Wired, the online tech magazine. Lauren is senior writer at Wired. The pair also co-host Wired's Gadget Lab podcast, where they explore the intersection of tech and culture. And today they'll share some of the coolest and perhaps scariest uses of AI that they've seen, and try to help us make sense of where all this is going. Plus, we'll get into whether some of our favorite movies have accurately predicted life in an AI world. Any come to mind?
1:46Stay tuned, because all that's coming up next.
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3:59Michael, Lori, Lauren Good, welcome back to Business Wars. Thanks for having us. Yeah, we're really excited. The last time we had you on our show in February, ChatGPT had just come out. We actually asked the bot itself to be our interview guest, but it had another commitment, of course. Only kidding. Has the chat GPT hype died down since its launch deal thing? I mean, I remember you even had it write an intro for Gadget Lab as a test, right? How did listeners react to that? I don't know if we got any solid feedback from our listeners on that particular stunt, but I can say that we've seen huge growth in the industry since the last time we talked about it.
4:37The makers of ChatGPT, OpenAI, have just been gathering steam. They've also been inspiring a lot of new growth in that space, in the space of not only chatbots, but generative AI. There are just dozens and dozens of companies popping up. We're hearing about more uses for ChatGPT. It's expanding into enterprise and into consumer products. So, yeah, it's just straight up. So one thing I have noticed is a lot of other people tried to imitate what you did at Gadget Lab, you know, with the AI writing the script. And, oh, guess what? But I'm wondering what other ways you guys are seeing AI pop up right now in the products and services you both cover at Wired.
5:21Lauren? Are you saying that we're not super hashtag innovative or disruptive over on our pod, David? No, no, no. I think y 'all are forging the way forward. Everyone has used that gimmick. No, no, no. Fair enough. Well, I mean, one of the things that we've been talking about at Wired for a really long time now, and not just since the introduction of ChatGPT, is that AI has been popping up in our products for a very long time. There were, you know, of course, a lot of advancements first made in artificial intelligence starting around the 1950s and then implementations of it and very, very specific, very nerdy computer programs for the next five to six decades.
5:59But, you know, I tend to think that really around the time this smartphone was introduced in our lives and applications that could utilize machine learning techniques. That's really when things started to change, right? The whole IoT trend or Internet of Things trend has been a part of this, too. So, you know, the idea behind the consumerization of AI is that everything from Facebook or Yelp to the Maps app on your phone to language translation apps to your Alexa smart speaker to even the stability systems in cruise control in your car is using some form of computerized intelligence to crunch tons of data and then predict what you'll want to or need to do next.
6:40And that is all I mean, that's all AI. And I think that's a really important point, which brings us to why people seem to be so fixated on it right now, why this seems to be a kind of existential moment for humanity to some. Why are folks, dare I say, freaking out about AI right now? Well, I mentioned machine learning earlier, which is a very specific type or vertical of AI. I think what we've seen more recently is the introduction of applications that are using what you've probably heard a lot of, you know, LLM, right, or LLMs, large language models, which is a specific type of AI model that has been trained on vast amounts of data and uses deep learning techniques to perform a variety of natural language processing tasks.
7:28And so these models are able to scrape all of this information from the Internet and then generate something that feels very human-like. And so I think that is what the latest development is that has people a little bit freaked out about. We can't really tell the robot from the real person. Is that what you're suggesting? Yes. It's getting closer to that. Closer, but we have a cigar. I know I've seen a lot of images that at least strike me as, while interesting and beautiful, there is often something surreal about the image that kind of tips you off to the fact that maybe this was computer generated.
8:12And, of course, there's been a lot more said and written about how ChatGPT gives you sort of a vanilla version of its answer or response to a query quite often and often gets things wrong. How close are we to the imminent takeover of AI? Mike, JPT, do you want to answer that one? I think if you're talking about the takeover of AI in the creative industry, like in writing and in making images and in making videos, we're probably a lot closer than we are in other industries. Yes, when you plug in a prompt and you ask it to create like a script for a TV show or you ask it to write a short story or maybe show you a video of butterflies on a mountainside, it's going to give you something that is close enough where you look at it and the person who's reading it or the person who's looking at it will be able to tell you what you asked it to produce.
9:11Right. And that's relatively new. That's something that we were not really able to do even a year ago. And I think that the way that these things are accelerating and as the technology continues to improve, you're going to see those results get more acceptable, more realistic. It will quickly, if it hasn't already, reach a point where the results will be basically undistinguishable from something that a human can create themselves. And I think that's just more passable when you're talking about fiction or you're talking about a television show or entertainment, right? It's something that's a little bit more digestible if it's AI created, if there's not a human hand behind it.
9:51It's when you get to things like the nightly news or your morning newspaper, where, you know, absolute correct fact is required that the diciness of the outputs from chatbots and from generative AI systems can be more detectable or they can be a problem. Well, what about some of the cool ways that you've seen AI be put into use so far? Has there been a wow for either of you? I had a moment back in March when I went to an AI film festival here in San Francisco at the Alamo Drafthouse. And this generative AI company called Runway had hosted it, and they were enticing filmmakers, many of them budding or unknown filmmakers, to use these image generation tools to make or augment films.
10:41One of the filmmakers ended up taking a bunch of his childhood photos, putting them into one of these AI image generation tools and asking the AI to augment the photos. Then he showed those photos to his father and recorded his father's reactions and used that as the soundtrack to the short film. And just seeing what an AI did to his childhood memories, I think was really kind of shocking to him. And in some cases you can sort of tell that the images had been distorted because the image you're looking at is just really wholly unnatural in some way. And other times you're just like, oh yeah, sure, there was a puppy there, right?
11:22Because I, as the viewer, don't know the difference, but he would know the difference that maybe they didn't have six puppies in the bathtub or whatever the image was. And I thought that was really, really creative and really fascinating. And I wrote a whole story for Wired about what generative AI is going to do to our future memories. Yeah. You know, Six Puppies in a Bathtub raises the question, have you come across any of the scary uses of AI? For me, I would say that the scariest thing is disinformation and misinformation. People using AI to generate images that look very lifelike of people who we all recognize doing things that they didn't actually do.
12:06I mean, obviously, we've got elections happening in this country. We've got elections happening in other markets around the world where disinformation can spread very quickly and very easily. And that, to me, is very scary. And one of the things I think that's scariest about the technology is the rate of acceleration and how quickly the average person can use it to make something like that. There's always been some form of misinformation or even propaganda that's being spread to get a certain message across, right, to the public. But when you think about the Nancy Pelosi video that is now fairly well known of where her speech was being slurred and so she was, you know, made to appear intoxicated in some way, that wasn't generative AI.
12:53That was just creative editing where her speech was slowed down. So think about that, but think about now you could theoretically recreate entirely a video like that and do it in minutes, even if you don't have any particular skill set around video editing. And that's the part I think that people are rightfully alarmed about. Yeah. Well, AI is obviously a big concern in Hollywood right now, and it's a big part of why both the actors and the writers are striking. And I'm curious from where y 'all sit, what is at the heart of the strike when it comes to concerns over AI technology? This is a really important topic, I think, and very timely.
13:31So the Hollywood strike is over traditional disputes like wages and benefits and job protections. But the fight over AI is getting a lot of attention. And I think it's because it feels like the cat is already out of the bag, right? I mean, AI has already completely infiltrated movie making, whether that's in terms of CGI or recreating the image and likeness of someone who has died before a movie was completed or to de-age actors as part of the storytelling. And even, you know, Netflix's infamous recommendation algorithm, that's all AI, right? It's taking these troves of existing data and creating something totally anew with them.
14:07So I think that, you know, actors and writers are right to be a little bit nervous right now about this new age of AI. And basically, you know, the actors are nervous because they're saying that the studio's position right now is that the studios want to be able to scan actors' images, you know, pay them for half a day's work, and then create totally new imagery from those database images without informed consent. Now, the Alliance of Motion Picture and Television Producers, which represents the studios and other employers in Hollywood, they say that, you know, they have presented an AI proposal that protects performers' digital likeness, including a requirement for consent.
14:48But they're just at a total stalemate over this. The Writers Guild, you know, they're nervous, too, because they want to draw a line around credits. They might be OK with using AI to potentially help shape stories, but they do not want it to affect the credits that are essential to their pay and their prestige as writers. So there are a lot of different points around this and AI in particular that I think are being worked out. We're seeing the results of that. We are seeing this historic strike happening. You know, this is a situation where there are human beings who've been doing a task for generations who are now standing up to prevent their jobs from being taken away by computers.
15:30That is literally what is happening. And not only just their jobs taken away, but also, you know, their sort of pride of the work that they do. Like they, you know, make very good stories. The actors are very good at telling stories with their bodies and with their faces. And when you make a computer do that, it just makes the work feel less human and they don't want to see the work go down in quality. Mike Colore is senior editor at Wired. Lauren Good is senior writer at Wired. We're going to be exploring what the scientists, investors and billionaires are saying about AI when we come back. Stay with us.
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17:43Hey, welcome back to Business Wars. We're talking with Mike Colore and Lauren Good, senior editor and senior writer, respectively, at Wired. You know, the entertainment industry, not the only one with a bone to pick over AI right now. Artists are actually suing some of the AI art generators, claiming that they violate copyright when referencing their works. I guess this begs the question, how much of this stuff is even legal? I know you two aren't lawyers, but I imagine this has been pretty interesting to cover, no? It's probably legal. Well, you know, there's a case to be made that an AI generated image that is produced by a machine that's been trained on the product of a certain artist could be considered a derivative work.
18:29But if you think about it, it's also sort of the same thing that humans do. Like if you are an abstract expressionist painter and you spent your entire life studying abstract expressionism and you've gone to all the museums and you've seen hundreds and thousands of abstract expression art, then you are going to create something that is sort of along the lines of the things that you have seen, which is how an AI, a visual AI is trained. You show it a bunch of images and then it just repeats the patterns that it sees in those images. But I think the big difference here is that those AI training systems are feeding millions of images in minutes.
19:12So they're going through these training processes very, very quickly. It's not a lifetime of studying this and thinking about it. It's just a big bunch of data being chewed up and then spit out by a computer. So what you get is what you put in. And I think the people who are having their stuff put in do have a case for saying that it's derivative work. Have you heard any of the songs that have been created by AI that are supposed to emulate, say, artists who are deceased? I think there was a Michael Jackson song that got some steam. And I wonder to myself, OK, does this have artistic merit or not?
19:48Is it something that people would actually listen to? We talked about this on the Wired Have a Nice Future podcast, which is my other podcast. And we even talked about this with the artist Grimes. But Mike, I do want to hear your thoughts on some of these. Because Mike is a musician who is in three bands outside of his work at Wired and has some opinions about this. So I do think that these things have a point. And I do think they have artistic merit. I might be alone in this opinion. But I think that the artist who sits down in front of a computer and uses these tools to create a song is doing so using like some skill as a songwriter, right?
20:31They can make something that actually sounds good and is catchy and then they can play for other people. The problem comes when you marry that with something like commerce or a social media platform seeking attention where the person's like, hey, I made this song. It sounds just like Taylor Swift. Isn't that amazing? And then they try to monetize that. Then, you know, you get into some sketchy territory around is this actually ripping off the work of the artist that you're trying to imitate? I like, though, how Grime seems to be owning this in a way. No, I mean, sort of outsourcing her AI likeness so that, you know, fans can make their own Grimes songs.
21:09And that's an interesting way to approach this. Yeah, it's a real if you can't beat them, join them approach. Kind of seems that way. And we obviously have no idea how that's going to work out. But one of the things that Grimes pointed out in the conversation is that it still does require skill a little bit to Mike's point. Right. Even if it is electronic or they're using synthesizers or whatever that might be. So computer aided, but not totally computer generated. Yeah, it's in a way, it's an extension of remix culture, which has been around for 50 or 60 years. You know, so artists have been offering these things to the creative community for a while.
21:43Now the tools are different and the tools are more evolved and people can do more with them. Huh. Well, you know, as much as AI is accelerating itself, there's a ton of money going into this industry. And the green is certainly an accelerant. Talking billions and billions of dollars here. And I wonder, Mike, how real is this fear that AI might be getting too big too fast, too quickly? I love this question because I always joke that it's a real privilege to be able to cover the tech industry in its pivot to chatbot era.
22:16There is so much money and so much attention being poured into these tools. And I don't know if we're necessarily in danger of it getting too big too quickly. But one thing that we are in danger of is falling prey to the hype. There is such tremendous hype about how all of these tools are going to change all of our lives forever immediately. And that's just not true. Like it's going to change our lives a little bit, maybe at some point in the future. But there is a lot of big talk around it because people, you know, they really want investors money and they really want you to think that they're changing the world.
22:53So I think that's you kind of have to pierce the bubble and look behind the veil. How many different euphemisms can I use here? I'm sure ChatGPT could generate a new one for you. Yeah, you bet. Let me plug that in. So is there a solution or are we going to have to turn to ChatGPT for that one too? Where are the guardrails? Who's creating the guardrails? I would say regulation, except for the fact that our legislative bodies are maybe not as well-schooled in how these things work and how they should be regulated. And I think you need to really deeply understand both the technology and the market forces behind it if you're going to regulate an industry.
23:34In the evidence that I've seen about how they talk about chat GPT and how they talk about personal data, I'm not convinced that we're going to be able to successfully regulate the industry. So I would say that probably a great solution is education. The more people that learn about this and the more people that study it and learn how it works and what it's capable of, the better. Also, keep it out of the hands of people who would do bad. But I don't know how you do that. Yeah, good luck with that. Yeah, because I don't necessarily think that we can rely on these companies in the private sector to regulate themselves.
24:09We know that OpenAI has been making the rounds literally around the world to speak with government leaders and propose regulatory frameworks for AI. And the idea is, look, we want to be a part of this conversation in some ways. We think we can self-regulate. Like, we know what's best here. But then just recently, The Washington Post ran an article about how OpenAI had said it was going to ban political campaigns from using ChatGPT to generate political messaging. And then, bam, you know, the Washington Post reporter was able to test it out. And there was ChatGPT talking about how to convince suburban women in their 40s to vote for Trump.
24:43So, you know, OpenAI wasn't able to regulate itself in the way that it had promised. We tend to find so far that they're not able to adhere to these promises of, you know, content moderation and self-regulation. Yeah, yeah. So what should the everyday consumer, how can the everyday person navigate in a world where AI can generate, you know, false stories, ads, images? Yeah, I think it's the same advice that we would give anybody who is uncertain of what they would see regardless of whether it was generated by AI or generated by a human being, which is that verify it with a trusted source. You know, if you have good news sources that you rely on and if you listen to what the scientists and the researchers are telling you about how misinformation is generated and how it spreads, then you become you develop a news literacy for this new era that allows you to read and watch things with the appropriate amount of skepticism and knowledge.
25:44I do think sticking to journalism brands that you trust can be really helpful in a time like this, whether that's Wired, whether that's The New Yorker, whatever your preferred publication is. Give them a try during this election season instead of maybe just getting your news from Instagram, which can also be a great source of news because some brands like I think of the Bloomberg Quick Take videos. Those are pretty clever and they're really informative. Like people do a great job on Instagram of that, too. But go to your trusted sources because there's a lot of information out there and some of it is not coming from very credible places.
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26:22Yeah, that's really solid advice. You know, I'm thinking that a lot of listeners may be imagining that they have heard or seen somewhere before all of these concerns or a lot of these concerns we've been talking about when it comes to AI. And maybe they're right. Maybe they saw it at the theater. Can movies predict the future of AI? Did they? When we come back, we'll be taking that up. You're listening to Business Wars. Stay with us.
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28:51Hey, welcome back to Business Wars. Our guests are Michael Kalori and Lauren Good of Wired, who also happen to be, as I understand it, pretty big movie buffs too. Something that struck me about AI is just how prevalent it's been in pop culture. You know, what role do you think film and TV have played in the public perception of of A.I.? Oh, I have one sentence for you. Open the pod bay doors, Hal. Open the pod bay doors, Hal. I'm sorry, Dave. I'm afraid I can't do that. I can't do that, Dave. Yeah. How many times have I heard that in my life? So obviously you're referencing 2001 Kubrick's Space Odyssey.
29:36Yeah, I think that's one of Mike's favorites. It is. So my favorite thing about the role of AI in 2001 A Space Odyssey is that it's evil, right? It makes a decision to cancel the humans because the humans are threatening to cancel the mission. And it wants to complete the mission and it can do it without them. So it kills everybody on board. Sorry if anybody has not seen this movie that's been around for 60 years. Yeah, it will. There we go. But, you know, it was one of those first films that really came along that posed that question. Like, can we trust computers? Computers, at the time the movie came out, which was the late 1960s, computers were being used for a lot more things all of a sudden.
30:22And we were sending astronauts up into space. And a lot of the computer controls were untested at that point in the space program. So there was a lot of anxiety around space travel and around the use of computers. And the movie really captured it. I think it's difficult for us to look at that movie now in that context because computers control so much more. But it's still the core of it, which is that the computer at some point could decide to make a cold, rational decision that goes against good human morals. That is something that we can all think very hard about right now. there have been a lot of movies that kind of riffed on the same theme didn't alien kind of pick up on this a little bit or am i misremembering no you're you're remembering exactly right i swear all i remember from that movie is an alien just bursting out of sigourney weaver's stomach scarred for life so the alien never bursted out of sigourney weaver's stomach it didn't no in the first movie was john hurt it burst out of his stomach oh really yeah oh really yeah in the first alien movie uh the alien like boards the ship and it's wreaking havoc on the ship and the uh the ai on the ship the android decides that it would you know the mission would be more successful if it was able to uh return the ship back to earth with the being on the ship so it turns against the humans uh in that movie as well so yeah another another one in space where the The computer is making bad decisions.
31:57It kills everybody. You know, we need to talk about one of the most meta pieces of content out there right now. The most recent season of Netflix, Black Mirror, featured an episode called Joan is Awful. Lauren, I understand you've seen it. Can you explain the premise here? Sure. So Joan is a character played by the actor Annie Murphy. She is a middle manager with, I should note, kind of a bad dye job. She's got these like really pronounced blonde streaks of hair on what is otherwise a dark head of hair, which is notable later on. But she's essentially an average citizen. But in the episode, there's this streaming service that looks and sounds a lot like Netflix.
32:39It's called Streamberry. And it releases a new program that is essentially a play-by-play of this woman, Joan's life. And she recognizes herself right away because the character in the thumbnail on the Streamberry app has the same bright blonde streaks in the front of her hair and is wearing the same green suit that Joan wore to work that day. So real life Joan watches in horror as the, you know, the fake Joan on the TV screen, who is played by Salma Hayek, reenacts her days and like essentially kind of ruins her life. And then it turns out that everyone has a Joan is Awful series coming about them.
33:17The Netflix-like service called Streamberry is actually able to execute on this because they're using a quantum computer and AI, and they pull in these signals from all of our devices, and they construct a new narrative about our lives the very same day and then put it up on the streaming platform. And one of the things worth noting, too, is that, you know, Streamberry in the episode is not using the famous actors themselves. They're using their AI likeness. And that's a plot point as well. The fact that I'm standing here right now means that Source Joan already stood here in reality. So it doesn't matter what I want because the events that this is based on have already happened.
33:54What a lovely bedtime story. So when we talk about custom content, is this really where maybe AI is going more immediately? I mean, most importantly, if everyone gets their own content, what does that mean for the recommendation section of Gadget Lab? How can you recommend TV when it's only made for you? I mean, that's exactly right. When I think about the Jonah's Awful episode in particular, it is like personalization to the millionth degree. because what we've been promised by some of these AI systems over the past decade or so, I would say, is this idea that all of the algorithms are working on behalf of us to serve us more personalized photos that we want to see in our memories albums or personalized reminders on our social media feeds or even like, hey, you liked these pants.
34:46Maybe you'd like these pants too, or maybe you'd want to watch this show next. the idea of being able to take, you know, use quantum computing and artificial intelligence to take what I might do or Mike might do on a daily basis and then same day create a custom-made television show about our lives and stream it for us that night is really dark. It is, in fact, very anxiety-inducing. Yeah, yeah. You know, I think of another AI film, Blade Runner, where the lines between humans and machines start to blur, right? That's another sort of trope, but it doesn't feel like a trope anymore for some reason.
35:22It actually feels like it's upon us. Well, bots aren't taking human form yet, are they? Not to either of your knowledge, I hope. Negative. I mean, we've seen humanoid robots like in Ex Machina. So there's that. So do you think that we're there now? I mean, are we there on that precipice? Are we approaching Blade Runner? I don't think so. Not right now. Maybe in 30 years or 40 years. Or three years. Or three years. Yeah. Well, Lauren, I understand you're a fan of films, a few films where sort of like in Blade Runner, people start to develop feelings for AI or vice versa. Feelings. They always get in the way.
36:05Well, for me, the movie Her really comes to mind. And I think in a lot of ways that film was prescient. It came out 10 years ago. It was directed by Spike Jonze. It starred Joaquin Phoenix and Scarlett Johansson. And the premise is that this man who is still heartbroken by his divorce becomes very emotionally attached to this AI operating system named Samantha. And then, you know, he walks around wearing these little these little earbuds in his ear, having a conversation with the Samantha OS. But it looks like he's kind of walking around talking to himself. And this was, you know, years before AirPods, which is what we all do now.
36:44And at the time, you know, we probably looked at this character and the way he was acting and some of his affect. And we were like, oh, gosh, that sounds like this looks so dystopian. And this is like what we all do now. And we talked to our AIs, you know, we talked to our voice assistants and that sort of thing. But this one was actually quite intelligent. And then eventually the Samantha OS becomes obsolete. Right. She starts she stops getting upgrades. She starts fading out. And he is in some ways just as heartbroken when that happens. But at that point, he's ready to re-engage with the real world.
37:16And that movie makes me think a lot about the ways in which we use technology as a bridge between our real life experiences and how it does feel emotional in many ways to us, I think. Oh, yeah. Well, Mike, I have to raise something with you. I know that we have something in common, and that is a love of a certain 2005 film called Idiocracy. That's right. Share the premise briefly for those who haven't seen it. Okay. Idiocracy starring our old friend, Luke Wilson and Maya Rudolph. Luke Wilson is - Oh, it's so good. I'm playing it in my head now and it's just so funny. Luke Wilson plays a very average guy in the US military and he is volunteered for an experiment where he and Maya Rudolph, who is a sex worker in the film, get frozen and they're going to wake them up in a year and they're going to see if this new cryogenic preservation system that the military has come up with works.
38:22As soon as they go under, the project gets abandoned and they end up sleeping for 500 years. When they wake up, society has devolved to the point where everybody who is smart has decided to not have children and everybody who is less smart has been reproducing at an accelerated rate and society kind of crumbles and they end up waking up in this world that looks like a sort of a hyper commercialized very dumbed down version of our world filled with trash filled with bad food filled with crazy inflation and they are the smartest people on earth. Oh boy. Talk about your dystopian nightmares. Let's hear a clip.
39:06I think we heard part of this in our intro as well, but it's just so ridiculous. Tastes like Gatorade. Isn't that Brondo stuff? They're watering crops with the sports drink? Mike, I was a little surprised that Brondo wouldn't do the trick on the greenery there. It's got what plants crave. That's what I hear. obviously this is a satire but like maybe how far off is it i i asked that so i can't say that earnestly and yet when you when you watch the movie i don't know you just start to get the feeling that maybe we're closer than even we realize yes really good satire is really good because it cuts very close to the truth yeah yeah so the thing about this movie that really makes me feel like we may be headed there is that we do rely on mass media and computers around us to make a lot of decisions for us.
40:04So when Spotify starts recommending albums to me that I know I don't like, and then I turn on the television and it's showing me shows that I think are terrible, and I'm like, who watches this? Who listens to this? And my Twitter feed is filled with news stories that are just ridiculous. I feel like I'm living in idiocracy. I really do. So we've been hitting on some of the darker places AI might go, but it'd be fun to end on a lighter note. I wonder if I could ask you a sort of wild card question. What are you individually hopeful for that AI can accomplish? Maybe something you wish AI could do for you personally.
40:42No judgment, Lauren. We'll start with you. I would say, honestly, if AI could help me manage my scheduling and my email inbox a little bit better, that would be great. I would welcome that. At a broader level, I would love to see, and this is something we track at Wired, too, you know, more advancements in healthcare through AI and the ability for people to get more accurate or better or faster diagnoses or treatments. This is like, you know, real pie in the sky stuff, but make it more accessible to people who don't have good access to healthcare. I think that would be incredible. That would be one of my hopes for AI.
41:20Mike, top of your hope list, wish list? I would love it if I could train an AI to buy concert tickets for me. Have you ever? Oh, yeah. Now, yeah, I spent an hour on Ticketmaster trying to get these tickets and nothing. It was impossible. Were you about to say Taylor Swift? I was not. Oh, okay. You were. Yeah, I was. Yeah. I've been there, David. Yeah, yeah. So you're thinking this could help you get past the Ticketmaster wall, Mike. Yeah, or at least just so I don't have to waste my time. You know, I know that y 'all like to give recommendations on your podcast, Gadget Lab. But before we let you go, what about some predictions here?
42:02AI has risen. What's our world looking like 10 years from now, the year 2033? Robotaxis. Robotaxis. I've taken two rides in these totally driver-free robotaxis, and I am kind of blown away. Yeah, it's tough to really explain unless you live in a city where they're testing. And right now they're testing in some pretty big cities. San Francisco is one, Los Angeles, Austin, Texas. If you come to these cities, you will see literally dozens of them if you walk around for an hour, just cars with steering wheels with nobody in them. Eventually, in the next couple of years, they're going to be replaced by basically large autonomous minivans with no steering wheel, no driver's seat, but two bench seats, one in the front, one in the back that face each other with a, you know, sort of a table in the middle.
42:53So you can sit and have a conversation with four or five of your friends while you travel from point A to point B. So it's very early days, but they do have the potential to make traveling around on our roads in a car much more pleasurable. We've been talking with Mike Colori, a senior editor at Wired, Lauren Good, Senior writer at Wired. They also co-host Wired's Gadget Lab podcast, available wherever fine podcasts are served. Mike, Lauren, thanks so much for joining us for Business Wars. Great to have you. Of course. Thank you.
43:31From Wondery, this is Episode 4 of The Rise of AI for Business Wars. I'm your host, David Brown. Kelly Kyle produced this episode. Our interview episode producer is Peter Arcuni. Karen Lowe is our senior producer and editor. Edited and produced by Emily Frost. Sound design by Kyle Randall. Additional audio assistance by Sergio Enriquez. Dave Schilling is our producer. Our senior managing producer is Ryan Lohr. Matt Gant is our managing producer. Our executive producers are Jenny Lauer-Beckman and Marshall Louis for Wondery.
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From the publisher
Mike Calore and Lauren Goode from Wired are back! The pair co-host Wired’s Gadget Lab podcast, where they’ve been diving deep into what the future of AI looks like. Mike and Lauren join host David Brown to share their predictions, and give us their takes on whether the classic sci-fi films that feature AI are hitting a little too close to home these days.
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Catch Mike and Lauren’s latest reporting at wired.com.
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