Ep 288: Big Tech’s Critics Have Gotten a Lot Wrong on AI

Episode Categories:

The Potential and Necessity of Embracing AI

In the face of rapid technological advancement, business owners and key decision-makers are often caught between embracing the disruptive potential of Artificial Intelligence (AI) or succumbing to the uncertainty it seems to present. This article seeks to debunk common misconceptions and shed light on the reality and necessity of AI integration in various business sectors.

Understanding the Evolution of AI

Just as the introduction of mobile phones revolutionized communications, AI is expected to impact various business sectors in transformative ways. The trajectory of AI development and acceptance is believed to follow this same path, with widespread adoption anticipated post an AI-equivalent "iPhone" moment.


The Beneficial Impacts of AI on Society

Generative AI, which has sparked extensive debates around job security and societal impact, is surrounded by uncertainty. To fully understand these technologies, we need to move beyond these fears and focus on the plethora of benefits AI offers. Successful applications, such as language translation, have shown AI's significant potential. Furthermore, rather than just being a potential disruptor, AI can complement and augment human capabilities, creating superior outcomes.


Sustaining Innovation and Maintaining Tech Leadership

Slowing down innovation in AI technology brings its risks. Maintaining a competitive edge in technological innovation is especially crucial for nations aspiring to retain global leadership. As history has shown, new technologies usually lead to net increase in jobs rather than elimination. It's also important to remember, advancements in AI and automation can prove particularly beneficial in countries dealing with aging and declining populations.


Generative AI: A New Technological Revolution

Generative AI is generating much excitement and anticipation, not unlike previous technological revolutions. However, it's crucial to keep in mind that the impact of these technologies on our daily lives often depends on our physical needs. Popular forms of AI, while significant, are not as influential on our daily lives as essential technologies of the past, like clean water and electricity.


Mitigating the Risks of Over-Reliance on AI

Many argue that businesses and individuals risk becoming overly dependent on AI. This dependence often raises concerns about what would happen if these technologies were to fail. However, the tech industry has historically demonstrated high levels of reliability and continues to prepare for potential disruptions.


Addressing the Fear Surrounding AI Deepfakes

One area of concern in the world of AI is the potential misuse of deepfake technology. While significant, this issue has not gone unnoticed. Regulatory bodies, legal systems, and individuals are becoming more aware of this technology and its potential implications.


Conclusion

Whether we recognize it or not, AI technologies have permeated our daily lives in both subtle and profound ways. The often-cited fears associated with AI—job loss, societal impact, and over-reliance—need to be examined critically and holistically. The focus must be on harnessing the potential benefits of AI to both solve society's problems and fuel future innovation.

Topics Covered in This Episode

1. State and Limitations of Traditional Clinical Trials
2. Role of Generative AI in Modern Drug Development
3. AI in Clinical Trials
4. Exploring ChatGPT in Clinical Trials


Podcast Transcript

Jordan Wilson [00:00:16]:
There's critics all the time talking about AI on all sides, saying, oh, you know, in the future, we won't need humans. We'll have AI. Or people on the other end of the spectrum saying, hey. This artificial intelligence thing, it's brand new. We shouldn't pay attention to it. So today, I'm excited to have an industry veteran with decades of experience in the technology field to come in and help us dispel, some of these big critics who are just getting a lot of this wrong about AI. Alright. I'm excited for today's show.

Jordan Wilson [00:00:50]:
What's going on y'all? My name is Jordan Wilson. I'm the host of Everyday AI, and this is for you. We are your daily guide in the form of a livestream, podcast, and free daily newsletter, helping you all learn and leverage generative AI to grow your companies and to grow your careers. So before we get into that, I just have to put in the plug. If you haven't already, make sure to go to your everyday ai.com. Each and every day, we recap our interview in our free daily newsletter, so make sure you go sign up for that. Alright. Before we get into today's topic, let's do as we do every day and go over what's going on in the world of AI news.

Jordan Wilson [00:01:24]:
So first, Elon Musk is bringing a lot of AI to Memphis. Alright. So billionaire, Elon Musk has announced plans to build his AI supercomputer at the former Electrolux site in Memphis through his startup XAI. So Elon Musk's startup XAI will be constructing an AI supercomputer at that former site in Memphis. The project has been dubbed the Gigafactory of compute, and it marks a significant investment in AI technology and could have some pretty big positive economic facts on the city of Memphis. So there is no exact details on the cost, but it has been called a multi $1,000,000,000 investment. So we'll see how this will compare to the reported collaboration between Microsoft and OpenAI, the $100,000,000,000 Stargate compute project. Alright.

Jordan Wilson [00:02:15]:
Next, actor Ashton Kutcher has access to OpenAI's SoRA and said it will change Hollywood. So actor and entrepreneur Ashton Kutcher has praised the OpenAI's text to video program, SoRA, a generative AI video tool for its impressive capabilities and said it has the potential to revolutionize the film industry. So Kutcher actually has a lot of involvement in the AI space, people don't know about that, through his venture capital firm, Sound Ventures, so he's not new there. So in the recent interview, Kutcher, Kushner praised OpenAI Soarer for its ability to generate realistic videos, potentially reducing the need for expensive CGI and stunt performers. Alright. Let's last but not least in AI news, at least for our recap this morning, and this one's a big one. NVIDIA has officially passed Apple in market value and has become the 2nd most valuable public company in the world, at least for now. You know, that could change, like, 10 times a day.

Jordan Wilson [00:03:12]:
But NVIDIA's market value has risen rapidly due to bets on its potential success in the AI industry. Also, there is an expected stock split, by NVIDIA that's expected to generate even more demand for company shares. Their growth is a reflection of overall optimism about AI in the business world and comes just a couple of days after we've seen multiple days where they've increased market cap value by 5% multiple days. And some a little bit of original reporting here that literally no one is talking about. So, yes, NVIDIA has become one of the first, you you know, I think there's only 3 companies to hit the $3,000,000,000,000 market cap value, but they did just break the record for the fastest company ever to add a $1,000,000,000,000 to its market cap. So we looked at this yesterday, whether it's going from 1 to 2 or 2 to 3. But Apple, it took them 15 months to add a 1,000,000,000,000 Amazon, 10 months. Microsoft, about 2 years.

Jordan Wilson [00:04:08]:
Google, 22 months. NVIDIA, 37 days. So just it's been a wild ride over the last about 5 or so weeks for NVIDIA. So make sure we're gonna have all of that and more in today's newsletter. Make sure you go sign up for it. Alright. That's enough for, AI news. I'm excited for today's guest, and we're gonna talk about what big tech critics have gotten wrong on AI.

Jordan Wilson [00:04:33]:
So here we go. Please help me. Welcome to the show, David Michella, who is a senior fellow at the Information Technology and Innovation Foundation. David, thank you so much for joining the show.

David Moschella [00:04:43]:
Hey. Great to be here.

Jordan Wilson [00:04:44]:
Alright. Hey. For for people who don't know, and you have a very, diverse and deep background in the technology fields, but tell us a little bit about what you do at the Information Technology and Innovation Foundation.

David Moschella [00:04:56]:
Well, the foundation is really there to try to make America a more innovative country. So we try to develop ideas and policies, that advance American's technology interests and obviously that's very relevant today. So you know, we look at everything from AI to competing with China to sustainable energy, just all the things that really help to determine America's, innovation future.

Jordan Wilson [00:05:25]:
And also we'll we'll be sharing this in the in the newsletter today. But tell us a little bit about the about the new book that you have.

David Moschella [00:05:32]:
Yeah. The book is called Technology Fears and Scapegoats and it's basically a series of 40 essays taking on what we see as the myths that are used to tarnish the the image of the tech industry that it's polarizing the world and destroying privacy and increasing biases and wiping out the middle class and harming, children and and and all of these things, that is routinely accused of and it's just pushing back on those to to show how the benefits in in all of these areas are tend to be underestimated and the the downsides, which sometimes are real, tend to be exaggerated. So it's it's a balancing act to really try to tell a much more positive story about the impact of of tech on, America and and the west so far. Mhmm.

Jordan Wilson [00:06:22]:
And I'm I'm extremely excited for today's conversation. And, hey, as a reminder for those of us, those of you joining us live, get your questions in now. You know, we have a tech veteran here with many decades of experience, and I'm excited to get into some of these common misconceptions. But David, let's let's maybe start here. What are some of the things that big text critics are the most wrong about when they're talking about AI?

David Moschella [00:06:49]:
Well, it it's funny because, you know, someone's been around for a while. AI has long been the the holy grail of the tech industry since, you know, people like Martin Marvin Minsky and John McCarthy in the fifties and sixties to to all the the smart people. They they've been trying to make machines as as smart as they can and just as we get to the the cusp of of doing that, people start to say, well, maybe this is a lousy idea after all and in our view, there are really 3 problems with that view. The first is that the fears tend to be exaggerated and the benefits underestimated. So they're telling the overwhelming more negative story than we think is true. But the second is that and really the west really needs AI. We may need all the AI we can get to remain competitive but also just to take on the societal challenges of the future. This almost certainly will require sort of a redeployment of of people and assets from much of what is going on and we use the analogy of people shifting from farms to cities.

David Moschella [00:07:58]:
Well people shifting from offices to rebuilding society along many many dimensions which we can get into. And the third that I think is really relevant is that the reality is that there are very few areas, there are a lot of things AI can't do and even the things that it can do very, very well and we're big fans of AI. In every case that we can think of, the combination of a human and AI is superior to either the human alone or the machine alone and this idea of of looking at AI as sort of a cobot, something that works alongside of you is is something we see all the time and and seems to us by far the most likely, pattern going forward. And that's a great story, we think.

Jordan Wilson [00:09:40]:
You you know, I I think when people think AI, they think, oh, it's it's brand new with ChatGPT. It's like, no.

Jordan Wilson [00:09:54]:
You know, the first chatbot was Eliza in the 19 sixties. Right? You know, but one thing that I'm always divided on because I think some of the smartest people in the world have this take and then there's people that don't know much have this take. But there is this thought, you know, that, hey. In the future, you know, us humans, we may not even need jobs. Right? Like, you know, Elon Musk famously said 2 weeks ago that jobs would be optional and, you know, people like Bill Gates and Sam Altman have kind of opined on this. Do you think that those you know, not saying those people are wrong, but do you think that that train of thought where people say, hey, humans aren't really gonna be needed in most jobs. Is that also where people are going wrong?

David Moschella [00:10:37]:
Yeah. I mean, people have been predicting that technology would eliminate jobs since the industrial revolution over and over again since originally the so called Luddites and the textile mills and rebuild and there's never been any evidence that that's proved true. You have temporary dislocations of of workers, but the economy itself expands and and creates more work. And we don't see any reason why that's not true with with AI at all and you know, as we say, you know, is AI gonna repair a road? Is it gonna install plumbing? Is it is it gonna grow your is it gonna convert a high rise building into a vertical farm to to grow food? Is it gonna repair the environment or all the war torn and damaged cities around the world? Is it gonna do all those things? No. It isn't gonna do all those. Well, it may contribute to them, but humans are gonna be needed to do that. Plus it's always been true that when new technologies come around, humans find other things to do and you don't have to predict the industries of the future to believe that very likely that we'll have them because we always have and and so, the entire history and most of the arguments about the future seem to us as overwhelmingly positive and when we listen to even tremendously capable people like Musk and others who predict sort of the the downsides. When you actually hear their arguments and and their downside examples, they're not that they don't really make sense.

David Moschella [00:12:07]:
People talk about student plagiarism, and they talk about, you know, deep deep fakes and these things sort of seem quite manageable to us. So the big fears seem really highly, highly speculative in contrast to the benefits which we see as quite real today.

Jordan Wilson [00:12:27]:
Yeah. And I'm gonna I'm gonna throw something up on the screen here for our livestream audience. You know, you said something there, David, about, hey. Can AI repair a road? There's kind of this, you know, viral thing, billboard that said, hey, Chet GPT, finish this building. Yeah. And then join a a building under construction. Right? But I guess on the flip side of of of that, David, you know, maybe to play devil's advocate in looking at future technology. Right? But, you know, obviously, the AI systems, the large language models themselves are becoming, you know, more more powerful in theory.

Jordan Wilson [00:13:01]:
You have things like computer vision, you you know, getting better and better, more affordable as well. And then you also throw in this you know, speaking of Elon Musk, you throw in this the humanoid robots. Right? And then people start to connect those things and they say, okay. Well, could AI repair a road? Well, if you have an autonomous vehicle and you have humanoid robots with computer vision, I I don't know. Could they? So, you you know, as we look at the future of technology, right, and I know it's hard to predict. No one has a crystal ball. But is it crazy to think that some of those even jobs could, in theory, be done by whether it's AI or, you know, humanoid robots, factories, etcetera. Could human jobs just maybe look completely different?

David Moschella [00:13:41]:
Well, they they might, and everything you just said might happen, but there's so many steps to to get there that worrying about today seems, etcetera. But but to me that honestly, even a bigger part is that we we actually need some of that to happen. You know, the world is looking at an environment, particularly in the in the west of of aging and declining populations. And if you didn't have the mass migrations we have, it'll be dropping even more. And when you get into that mode, you do need to automate a lot of things. You do need a lot of robots and those sort of marquee examples of that today are are if you look in in North Korea, South Korea rather and Japan where the populations are gonna drop very very sharply in the next 20, 30 years. And their use of automation and robotics is now how they plan on coping with the changes. And so yes, some of that will happen.

David Moschella [00:14:40]:
Some of it needs to to happen. But you know, the speed, the ability to do that is still pretty far out in the future.

Jordan Wilson [00:14:49]:
That's such such a good take and it's something that maybe doesn't get talked about enough, you know, especially here, you know, in the US, you know, people have been talking about the impact of, you know, kind of baby boomers retiring. It's I I forget the name, Silver Streak. Right? But interesting take there, David. But, you know, I'm curious as someone that has been in, you know, kind of market research around technology companies for many decades, how would you explain the potential impact of, you know, not just AI, but generative AI? Because I think sometimes people, yeah, they say, oh, you know, they go to the industrial revolution or they go to the internet or they go to the cloud. Is it fair to maybe, compare today's generative AI to current techno like, technological revolutions of decades past? Or would you say maybe that generative AI and where we're at today is maybe a unique enough case that you can't really compare it? It's not apples to apples.

David Moschella [00:15:46]:
No. It's it's a very fair comparison, the industrial revolution versus the information revolution. How can how can you not compare those two things? But the one thing we would say is that it's always been true and I think is true today that the physical world of food and and shelter and transportation and, you know, and and and energy that that these things are fundamentally more important to the lives of people than information that emails and texts and e commerce, social media, all of these things are really interesting and important, but they are of a lesser impact on most lives. And one of the example we use is that if you live in a hot climate, a lot of people wouldn't trade their air conditioner for the entire internet. There's a certain hierarchy of needs and those needs are really being seen now in the wars in Ukraine and what it's done to food and and energy. And you're seeing it with China, what it's done with supply chains that these things are vital to people's day to day lives. And ChatCha b t is fantastic. It's a lot.

David Moschella [00:16:59]:
It's incredible what what it does. But if I didn't have it for a month, it would have almost no impact on my life. In fact, it would have no impact on my life. Whereas take any of those other things away and so people because it's the industry of our time, it's the growth, it's the jobs, it's the money. People tend to think that it's more important than the changes of the past and we don't argue they're actually fundamentally less important than the changes in clean running water, refrigerators and ovens and electricity and lighting and cooling and appliances and all these things that define the the last first half of the 20th century. Though to most people, those things are not just more, but they're head and shoulders more important than anything going on in the entire internet. And so we don't say that to demean our industry. I mean we all spent our careers in it.

David Moschella [00:17:56]:
It's done phenomenal things but it's easy to overestimate our importance when you when you live in that bubble.

Jordan Wilson [00:18:04]:
David, you bring up an interesting point there. Right? So you said, hey. If if ChatGPT goes down, it's not really gonna affect your life and interesting timing because, about 2 2 days ago, you know, ChatGPT had some major down, you know, downtime, perplexity did as well, Claude did it well, and all all kind of at the same time. And a lot of people online had the opposite, you know, of, take as you did. They said, wow. I've it's it's hard for me to work right now. So they've they've become maybe too reliant on AI. Maybe their employers or department heads have implemented it too much.

Jordan Wilson [00:18:39]:
So might there be a a time in the very near future where people and businesses become maybe a little too reliant on AI and, you know, kind of the expectations for productivity and and and KPIs, you know, increasingly go up because of AI. Is could could that be problematic if we're

David Moschella [00:18:57]:
all regarding

Jordan Wilson [00:18:57]:
like 2 or 3 systems?

David Moschella [00:18:59]:
I'm sure it could in the same way that we're all dependent on the internet to do most of the work that that we do these days if you're in the nature of the jobs that that that you and I have that you can't really work if the Internet goes down. It can't really work if the power goes down either. And so you know, those fundamental infrastructure services we rely on and there almost certainly will be a time that if, you know, you're gonna chat GBT right now but in the future there's gonna be multiple others There already sort of is but there'll be many other forms of AI and like any business system, they go down, people will have a hard time working but you know the levels of reliability in the tech industry are pretty impressive. You look back over the years and how many times has Google or Amazon or Microsoft gone down for any significant length of time and you gotta give them a lot of credit for that. It's pretty amazing. So any of the backups they have, their ability to replicate things around the world. It is pretty high levels. The biggest problem they would have would be the same problem that the commie has.

David Moschella [00:20:08]:
They don't have the energy to run the systems and it may some sort of energy disruption could stop it all in a in a fundamental way. But, you know, reliability is something every layer of infrastructure has to do. Electricity has to run, TV stations have to run, everybody has to run and we generally do a good job of that. That's overall I don't think been a huge problem.

Jordan Wilson [00:20:37]:
You know, David, something else, you know, as we talk about what critics, you know, big tech critics get wrong maybe about AI. It it it seems like there's a lot of fear and and maybe some of this is timing with the election here in the US, but there's a lot of fear or maybe attention or conversations happening specifically around AI deepfakes, right, and and what that means for our society and our ability to decipher, you know, what's real and and what's fake. Are the critics who say that this is, you know, kind of, something you can't miss, like, oh, deep fakes are gonna, you know, take over mainstream media. Like, are they wrong on that, or are deep fakes really that dangerous?

David Moschella [00:21:20]:
I would say, you know, of all the things that people worry about with AI, you know, copyrights and bias and surveillance and, automation and wiping out jobs. I actually think deepfakes are the most real right now. I mean, that's a serious problem. The technology is amazing and they can fake a lot of things and make them look extremely real and that is an issue. But how big an issue, we're already deep into the 2024 election cycle and has it been a major factor so far? I would say no. And people are already waking up to it. You know, for a long time, people had to adjust it. Well, this thing is a photograph, but there was this thing called Photoshop that could make things look real and people adjusted to that without a whole lot of issues and deepfakes, they're better, they're harder to detect, there's no question about that, but people aren't stupid.

David Moschella [00:22:18]:
Is it alright, the first time a year from now people see something they go, well, is that real? And how do we determine whether that is real or not? And there'll be whole processes about that. It might even do a good thing of getting people to rely on less on just any random internet stuff and more on allegedly trusted sources. And a lot of thing could could happen along those lines. But in any event, a lot of it's just the lawsuits. You look at Scarlett Johansson and others just suing saying you can't do this. They're gonna have a strong case and people doing that in America, I think will have real problems. Foreign actors hiding behind proxy servers whatever. That's going to be an issue but there's still no evidence that that's an unmanageable issue.

David Moschella [00:23:08]:
And and the answer is the upside of toothpaste is there's there's so many really funny ones. I mean, it's a tremendous source of of of entertainment and and comedy and satire and and such things when when you know that they're sort of just joking. So, you know it's a real one. I say I think it's the most current real one but if you look at our perspective, is it swaying voters between Trump and Biden? Not that I can see.

Jordan Wilson [00:23:35]:
You know, uh-huh. Speaking of, you know, kind of AI everywhere, and, you know, I love, David, that that analogy, you know, Photoshop and versus photography and, you know, people eventually kind of caught on that you can't believe every single photo. Right? But one thing that I kind of think on on the flip side of that is I think people had this, maybe this extended time or extended period to even just get used to, the concept of what it meant for something to be photoshopped. And maybe that was before, you know, you had, you know, social media that things would take off and people wouldn't vet to see if it's real or not. So in the in the day and age where, you know, things can, in theory, go go viral in in minutes, and not everyone. Right? So maybe I think sometimes I live in a bubble, and I just assume, oh, everyone knows AI deepfakes, but, you know, a lot of studies show that the overwhelming majority of even Americans aren't using any form of AI on a day to day basis. So I guess how can you balance, like, those things in terms of the impact of AI technology on something like deep fakes with, hey. Is the world really ready with how quickly kind of misinformation or disinformation can can spread?

David Moschella [00:24:51]:
Yeah. First of all, Americans are using AI all the time. They just don't know that that they are. That every time you go to Amazon and see how they summarize their reviews for each product. That's a tremendous example of just mass scaled AI to deliver tremendous value that could never really be done by human same thing with Tripadvisor and all those sort of services that summarizing those things and making it easy. So people are using it and and that'll be predominantly the case that most of the uses you'll do, you won't even know is driven by AI and that's your only good thing. But your real point is about speed and and speed is really interesting as you said in your opening remarks. So look how fast NVIDIA has reached the scale it has.

David Moschella [00:25:39]:
It's it is faster than the past in terms of the acceptance of the current generation of AI products. But as I said in my opening remarks, AI from a conceptual point of view, if you go back to neural networks 1940s. And so a lot of this stuff has taken a great deal of time to reach any sort of useful and critical mass and it's now reached that scale and maybe a useful analogy would be, there was all kinds of of mobile phones for 10 or 15, 20 years, and most people didn't use them much. They're but now all of a sudden the iPhone comes along and breaks the barrier and all of a sudden boom, everybody has it. And you could say, well, now iPhones are accelerating at a great pace but no, they just had a phase change that brought them to the masses. And that's really what happened. That's what happened with the ChatGPT. It's not a new innovation.

David Moschella [00:26:35]:
It's not a new really anything conceptually. It just has the scale of processing power and data to deliver that as a service through the cloud in a way that it couldn't be done before essentially the cloud era. And so speed is a tricky concept and you could argue that AI is really fast or you could actually argue that it's actually really slow. And that we just happen to be in a flourishing phase. But you know looking ahead, you can expect pretty rapid developments just as you've seen with the Internet and mobile and all these things.

Jordan Wilson [00:27:14]:
I think it becomes easy at times David to react to, you know, critics who are talking about AI. Right? I feel it's always easy. You know, hindsight's 2020 to sit here and say, oh, yeah. They they have this wrong. But maybe if we were to flip flip the script and say, okay. You know, David, now now you're the critic. Right? Tell us about AI. So, you know, how do you see this unfolding? And, again, not asking you to, you know, crystal ball this, but, you know, as someone that's been following trends in technology for many decades.

Jordan Wilson [00:27:47]:
How do you see this unfolding in the next couple of years? Because I think a lot of people feel this uneasiness and this uncertainty of what generative AI means, not just for their jobs, but for society and for our relationship with the real world. How might you see this all unfolding?

David Moschella [00:28:03]:
Yeah. If your to your last point about people, I I always just tell people to relax. If you look at how much tech has already happened since the Internet started, you know, most people really like that. You know, the the real consumer internet started roughly 1995. So you got 30 years there of things that consumers really like and policy makers and critics and media do a lot of tech bashing, but the average consumer doesn't do much of that. They say, wow. Amazon is great and iPhones are are great and Google Maps is fantastic and they just use all these things many of which are free. So if you liked all of that last 30 years, you're gonna like the next 5 or 10, the ability to translate any language which is the most fantastic thing that that, you know, in school, if you if you use for a student, you wanna try to get some ideas about something to write.

David Moschella [00:29:01]:
It's the most fantastic school aid compared to any old things people have ever had. So students will absolutely love it and I think a lot of teachers will will too. And so, I think for the short term, there's gonna be a lot of tremendous benefits. In the long term, you know, I'm not really a long term for the sci fi world but there are concerns. You could have something like what you see happening in in China. A surveillance state where everything is tracked and you have social credit systems that monitor your behavior and punish you for bad things and theory will reward you for a so called good thing. That could happen but to me that only happens if we want that to happen and this is sort of why a lot of the work we do at IJIF is about policy that you don't wanna go down that path and that requires policies that have sort of American versions. I mean that type versions of that rather than not to pick on China but Chinese type versions of that today and you know that's a dystopian future potentially and China could always reform and then it doesn't have to be horrible.

David Moschella [00:30:09]:
But if you look at the path they're on now, that's the path we wanna avoid and a lot of our work is about how to do that over the longer term and maintain the freedoms and and choices and and benefits and minimize the downsides. And, you know, that's been true for the internet for there's always been fears about the internet, but, you know, they're they're deeper and and we'll realize the technology gets more powerful. So, you know, that's something that keeps us awake at night and and thinking about.

Jordan Wilson [00:30:39]:
Speaking of things to think about, David, you've you've given us a lot of those. So, in in today's, episode, you've given us I mean, we've talked about the future of of jobs in an AI world, you know, potential dangers of deep fakes, where AI is currently trending. But, you know, as as we wrap up today's show, what's maybe the one biggest takeaway that you want people to leave with when it comes to even just what big text critics are getting wrong about AI?

David Moschella [00:31:06]:
Well, the one that I would just expand it. The the things that text critics are getting wrong about AI are the same things they're getting wrong about technology in general. And that America has historically been a pro innovation, pro technology society and economy. But we're moving in a world where that's less and less true and we're now becoming an economy that often seems more concerned with preventing potentially harmful change than potentially exciting benefits and that that has the risk of really slowing innovation in in our society and you know, the bottom line is America's dominated the tech world for just about its entire history but we now have a real competitor in China and China is going full bore on all of these issues and they may use it in ways that we don't like but the other like buying technologies are largely the same and whoever is going to lead in those technologies is going to be very powerful player in the world and when we hear people talk about putting the brakes on AI and slowing innovation and all these things. To us, that sounds like we might see the field to rivals, not just China but India and potentially others. And to us, that's a future we want to avoid that America has benefited tremendously by dominating the tech world for so long and and so deeply, but you can now see past where that might change, and having attitudes that want to prevent that is just really important and and that's really the message that we do through our you know, ITIF work is to try to encourage America to become remain the innovation leader in these areas.

Jordan Wilson [00:33:04]:
So good, y'all. My my, my forearms are burning from typing so many notes from so many great takes, from David. So, David, thank you, so much for your time today and for coming on the Everyday AI Show. We really appreciate it.

David Moschella [00:33:20]:
Thank you.

Jordan Wilson [00:33:21]:
Alright. Hey. As a reminder, everyone, yeah, we covered a lot, and that's only a fraction of it. We're gonna be breaking down today's episode and giving you everything else that you need to stay up, in the world of AI. So make sure if this was helpful, please let someone know, let your coworker know if you're listening on the podcast. Thanks for your support. Check out the show notes. You could, leave us a rating on Spotify or Apple.

Jordan Wilson [00:33:46]:
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