Everyday AI - Ask Us Anything Edition

This is the Everyday AI show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business and everyday life. Will the rest of the world force the United States to slow down AI development? I'm not sure, but that's one of the things that we're going to be talking about today on Everyday AI. This is your daily podcast, live stream and newsletter bringing you the latest news, tools, trends and everything AI so everyday people like you and me can keep up with it and actually use what's going on to help us in our lives and careers. As not as always, but as often, we have our our guest hosts, Brandon. Brandon, what's going on? How you doing?

I'm doing well. How you doing? Hopefully everyone's having a good day and hopefully you have as nice as weather as we're having in Chicago today.

The Chicago weather, it's like you have to really fight through the winters and I think you get rewarded, you get rewarded with four months of just absolute beautiful weather. So we got that this weekend. So if you are joining us live, please leave us a comment. Kind of build this episode as ask us anything. So we haven't had one of these in a while, so I want to make sure that if you are tuning in live, you can get answers to your questions. You know, Brandon and I and a couple others on, on our team are spending a lot of time every single month to keep up with all these newest developments and what's going on in the world of AI. And we want to help you. So this is ultimately what this is about. So if you have any questions, comments about anything going on, please leave us leave us a comment. So let's get going. So we're going to run, run down some of the newest developments in AI news and just what's going on. So kind of what we led the show with today, Brandon, this should be interesting to see. So G7, so that's just kind of the world leaders from, from some of the biggest, biggest countries, you know, United States, Canada, other European Union. So they met in Hiroshima, Japan, Friday and over the weekend. And one of the biggest things that they were talking about was AI. And you know, I think the rest of the world, whether it's for better or worse, is pushing for AI regulation a little harder than we are in the US And a little bit more on that later, why maybe I think that's happening. But one of the biggest things that they talked about at this kind of G7 summit in Hiroshima is making AI more trustworthy and talking about are there regulations that kind of G7 world leaders can agree to, you know. Brandon, what do you think this means if, if anything?

Yeah, I mean, I think this is important. I think this is definitely a big step for not only, you know, the United States, but the rest of the world. Because if we can kind of maybe create some sort of general standards, even though, you know, each country is going to adopt their own thing, hopefully it helps us to just kind of get further along, you know, I know. Like, as we're pushing out news and whatnot in our newsletters, we've put a couple of stories out about, you know, China as an example, putting regulations already in place for AI. So there's other countries that, that are already ahead of the game and feel like the US is kind of in this spot of like waiting game.

Yeah, exactly. PJ, thank, thank you for your comment. So PJ's asking what tools are available to check that your AI generated content is accepted by Google and not plagiarism. So many people are asking about that, Brandon. We actually did. I won't say it's a fun study because it was actually extremely time consuming and probably a little frustrating. So. Pj, I'll come with the hot take. It doesn't exist because there's no way to consistently tell if content is AI generated. So there's three or four, you know, kind of big name companies that say they offer the service to detect if your content is generated by AI. So by ChatGPT or by, you know, Jasper copy AI. So all of these different platforms, and a lot of these platforms also as a quote unquote feature or benefit say, hey, you know, this isn't, you know, it won't be plagiarized. So there's, there's two different things, right? So plagiarism is obviously when you're lifting content verbatim that already exists on the Internet. Right. So there's two different steps. So are there tools that can help make sure that your AI content is not plagiarized? 100% and that's accurate. But you know, where the line starts to blend is, you know, now they're saying, hey, there's AI content detectors. And Brandon, I'd say at least with our, with our testing, not a chance.

Yeah, I mean there are, you know, they do work, but they're not consistent. So you know, there are, there are a few that can like let you know if it feels that the content is written by AI. But from our testing and maybe that's something that we can talk about, you know, in the future, you know, put out some of those examples. I do think that there's not one that's going to exactly give you the right answer all the time.

Yeah. So. P.J.

Yeah, yeah, that's.

That's a great question. So for plagiarism alone, yes, there are those tools and those, those work very well because obviously they're checking against exact copies of what, you know, whatever system may be producing to see if that already exists. So on the plagiarism side, I think it's. It's fairly accurate. So you either have to use a service. So I don't believe ChatGPT has this built in. I'd have to check the plugins section because new plugins are being released at all times. But I don't think ChatGPT has this built in. Other services do, but. Fantastic question. So, so getting back to. Sorry about that. So getting back to, you know, some of these other things that are going on. So we talked about, you know, the rest of the world, you know, kind of pushing for regulation and the US not really being on the forefront. So obviously we talked on the show last week. You know, OpenAI CEO Sam Altman testified before Congress. I think, at least in the United States, I don't see any major regulation happening soon. Emphasis on major. And here's one of the reasons why. There was a report that just came out this morning, actually, from Reuters, just looking at the stock market and, you know, The S&P 500, one of the major indexes in the U.S. you know, showed just up about 10% this year, so 9% specifically. So. But what they looked at is if you take away the AI and tech stocks, the S&P 500 is down 1%. So if you want to know, at least in my kind of hot take opinion, why is the us, you know, seemingly dragging its feet on AI regulation? It's like, there's the answer. At least that's, that's what I think. Brandon.

Yeah, no, I mean, it does make sense. And I don't know, I, I could see like this background fear maybe forming of like, you know, you know, all I gonna dictate basically everything for the US which is probably what's going to happen. And so I feel like if you don't have a good handle on how you're going to regulate it, how it's going to come into play for various reasons, I could see why you'd be hesitant, especially with the power that it's already driving for multiple Industries in terms of like funding. Just like it's the number one thing that everybody wants to kind of get into. So it makes sense.

Yeah. And you know, obviously the, you know, certain, you know, the S and P and Nasdaq I think are doing a little bit better than you know, the Dow Jones as, as an example. But you take away those tech stocks, you know, AI companies or companies investing heavily in AI. So if the US Government were to come in and just regulate hard, the economic factors that that would have on the US are, you know, they, they would be mind blowing. You know, it's, look at all of the biggest companies that are helping fuel, you know, this, this, this positive growth for the United States. So you know, your, your, your Microsoft, your you know, Alphabet slash Google, your meta slash Facebook, you know, IBM, Nvidia, you know, these biggest companies that are, you know, up 30, 50% over the year and driving this growth. If you come down too hard on AI regulation, it will really start to cut off this growth at the knees. Yeah. Brandon, what do you think?

Yeah, I mean, I agree. I mean that's every major company is, is getting in the game right now. And so that, that's, it's like, it's like taking away the future of these companies basically. And so I, I think that would be interesting because like what, I mean if you take away, I like what else are, are we working on in terms of future like tech advancements? Like, I don't know, like I, I'm sure there's something out there, but this is really the, the wave right now.

Yeah. So speaking speaking of tech advancements, let's go to our next kind of our next story. So this is also pretty new. I actually had to search quite a bit to find this. So Google released a new kind of text to audio or text to music and text to speech platform just this morning called Soundstorm. So we've talked about it on the show before and we linked it in the daily newsletter. So if you haven't subscribed to that yet, go to youreverydayai.com, sign up for the daily newsletter. Subscribe. So Google before had announced Music lm which allows that that was strictly a text to music and you can type in a little prompt and get a, you know, 15, 22nd kind of like little music piece out of it. So they announced Soundstorm and it's going to be faster. It's going to allow you again, text to text to speech, text to audio, text to music. It's going to allow you to Generate a little more. But I think the interesting thing here, Brandon, as I play play a sample or I try to play a sample is dialogue. So. All right, I'm going to, we're going to try this. I haven't presented audio live yet on everyday AI, so hopefully this works. We're going to give this a test here, so I'm going to hit the play button. Hopefully you hear. But what you should hear is some dialogue. And let's take a Listen. It's 20 seconds. Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on Genai. Hey, this is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft and Nvidia have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen AI. So whether you're looking for ChatGPT training for thousands or just need help building your front end AI strategy, you can partner with us too. Just like some of the biggest companies in the world do. Go to your everydayai.com partner to get in contact with our team or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead in building. Built a straight path to ROI on Genai.

Did you hear about Google's paper on Soundstorm?

No, I must have missed it.

What's, what's it about?

Well, it's a parallel decoder for efficient audio generation.

So it can even be used to generate dialogues.

Oh, interesting.

Yeah, yeah. Like this one was generated by Soundstorm. Wait, what? That's funny.

Brandon, what are your.

What is good? That's good. I, I know on one hand someone's listening to this, going like, ah, this is scary. But like to me, I think that's pretty cool actually. Just the cadence, like the pauses, the like general reactions that they created. It sounds very, very natural. Doesn't sound like any AI generation was going on there. You know, the pauses were normal. Yeah, that was, that was good. Yeah, I mean, I think emotion, like get the way that you'll be able to start to capture emotion in like text. The dialogue is going to be interesting just because it's, that's one of the last pieces missing just to make it sound more Natural. So that, that was, that was really good. Yeah. Yeah, I think that's, that's crazy wild.

Like when I, when I listened to that this morning. So I didn't fully read. So let me, let me actually just share, share my screen again here. So I didn't fully read this part right here. I just saw the big play button and I hit play. Right. So I didn't even know until the end of that that that was actually AI generated. Right. I, I kind of thought like, oh, maybe this is. But I didn't read the full thing. And then when they said, oh, this was produced by Soundstorm, I was like, whoa.

Yeah. Yeah, that's, that's really good. I know we've, we've personally used other services in the past and this one's definitely has to be the best so far. So this is definitely going to be kind of like a industry breakthrough for, you know, text to dialogue man, one thing.

So, yeah, one of the big companies in that space is called 11 Labs. They're probably, you know, one of the top, you know, two or three at least, maybe number one. But Brandon, like something we haven't even talked about, maybe we save it for another episode. So when the big companies, the, you know, the meta, the Google, Microsoft, when they start developing these other models, right. Like text to speech or, you know, video. Right. So Runway, the company, Runway ML, has been running away in the text to video sector. So all these different, you know, generative AI companies that started small and they grew so big. Like, what happens now when Google, you know, releases its text to video? Or what happens now that we have Soundstorm and we have this text to speech? I don't know. What do you think?

Yeah, I don't know. I mean, as much as we've been talking about all Google's kind of hesitant sitting in the background, I could easily see them, you know, maybe they're doing it for a reason. And I'm not. I would not be surprised if when they come out with their own services, they just blow everything out of the water. And so everything that we thought was like this, you know, new gold standard is just like now kind of thrown to the back. So it'll be interesting to see if, if they produce the same kind of quality as that text to speech or text dialog. That'll be interesting. Yeah.

Sayetta. So we have a comment first. Thank you. I know you're always, you know, interacting with us on LinkedIn, so thank you for. So she has a question. How can we identify and address biases in AI algorithms to ensure fair and unbiased outcomes across various domains, such as hiring, criminal justice and loan approvals. Wow, that's a huge one. Where do we even begin on that one? So I'll say this. So even background. So people who aren't following AI development as closely as the rest of us. So AI is nothing new, right? It's been around for, actually, you know, we, we talked about this, Brandon. It's been around for technically like 60 years. But AI has been used in commercial development, you know, different sectors pretty consistently since the 80s. So Sayeda to get to the second half, you know, loan approvals. I know that the, you know, the banking industry has been heavily using AI and deep learning for decades, so they, they are already using that in loan approval processes. Criminal justice. I'm not sure that that will be interesting to take a look at. Maybe we'll have to do a little research on that. Hiring is another fantastic one. And I think out of the three that you kind of asked about here, hiring, criminal justice and loan approvals, I'd say a lot of the current or more recent trends in AI are being applied more in hiring, in hr, in talent acquisition, but the biases are extremely important. So I've, we've mentioned this on the show once or twice before. I think it's worth a listen. Lex Fridman had a super, not super long because his podcasts are kind of long, but about a two and a half hour talk with Sam Altman, the CEO of OpenAI, and they talked a lot about biases and how they train models. So I'd love to pretend I'm an expert or that we're an expert in AI algorithms and biases, but we're not. I think that's a good place to start, is to hear, you know, the CEO of probably one of the biggest companies in the AI space talk about biases because it's, it's real, you know. You know, Brandon, what do you think? And you know, I know we don't have the answers necessarily, but, you know, what do you see with bias playing into all this and what can you do about it?

Something that you just made me think about is, you know, right now it seems that we're basing a lot of these tools that we are creating with like, let's just say, you know, three language models. Well, so you, you know, for example, you have the big players, you have OpenAI, you have Bard, you know, you have the, the Bing chat. And so I'm wondering, you know, let's just say Right now those get published as like, you know, what their biases are or like how they work. We kind of know what to expect depending on what's released. But then what happens down the line if do we get so advanced to where every company is just able to create their own language model at a certain point or is that part of maybe what the US needs to figure out is like, okay, we're only going to base it off of these four major companies and by doing so to get back to the question, maybe we're able to understand what biases or what's in place to understand how these are working for being used for hiring process, for loan approvals, criminal justice, if we get to a point where we're using AI for those things. So it'll be interesting to see like, you know, are we just talking about those major companies or is everyone going to have their own kind of customized AI in the future?

Yeah, for sure. And just, just a reminder if, if you are tuning in live, this is kind of the ask Us Anything session of Everyday AI. So if you are listening on the podcast, make sure to, you know, check out the live stream once. So taking your questions and Syeda, another fantastic question. Wow, for Monday morning you're making us work for it, but I love it. So Sayetta has another question. So what are the potential socioeconomic impacts of AI on employment, income distribution and economic inequality and how can we mitigate any negative consequences? Wow, another, another fantastic question. And again I will reference that, that same interview, but I'll, I'll take something out that Sam Altman actually said and, and I'm not saying this is one of the reasons why we really started Everyday AI, but it definitely played into it. So you know, when I first listened to that interview, one little nugget that people I don't think picked up on in that two and a half hour interview is Sam Altman said, you know, there will be economic shock. And I think that specifically he was probably referencing the US But I, I do think that there will be some of this going on throughout the world. But you know, even real quickly with my background, I've spent thousands of hours creating content, you know, doing photo, you know, photo editing, video audio. So you know, I've been doing, you know, some sort of this, this marketing and communications professionally for 20 years and AI is better than all of me at all of it.

Right.

So what does that mean? Unemployment, Sayada. I always say follow the money. So you know, these same companies in the US that are driving our economic growth, what's happening. They're laying off thousands of people. Okay. Number one, Number two, they're investing tens of billions with a B, these same companies driving our economic growth and investing tens of billions of dollars into AI and also laying off thousands of employees. So what does that tell you? I think there is going to be some kind of economic shock. What that means, I'm not sure. I don't want to be the, the AI doomsday guy saying AI is going to take every jobs or every single job. But I do believe, and this isn't just my, you know, my background being able to see all of this, especially generative AI and what it can do. But I mean, so many companies, big companies now are laying off thousands of people and they are open enough to say this is because of AI Brandon. I mean, I, I, I know there's a lot to unpack there, but, but what are your thoughts on Saida's question?

Yeah, I mean, it's a, again, really great question. Honestly, I don't know how much more I can add in terms of just like what's going on right now to what Jordan mentioned, but I guess just, just personal opinion. Yeah, I do think that a specific example that's already coming to mind is, is the writer strike that's still going on. And, and so, you know, you're going to have a lot of these situations like the writer strike. And again, if, if no one's familiar right now in Hollywood, there's the writer strike. The Writers Guild America is basically just striking for various reasons, but one of the reasons being that a lot of these production companies are starting to use AI and they just want to make sure that they have a job secured for the future. So they just want to create kind of standards of when to use AI and how to use it with the writers work. And so that's just one of the examples of kind of just like.

People.

Trying to, I guess, mitigate negative consequences. But, you know, we'll see how it turns out. And so I, I really think this question is a, is great, but I feel like there's so many kind of variables up in the air to kind of know exactly how we'd be able to maybe avoid those negative consequences right now.

Yeah, it's, it's definitely going to be, I'd say, a roller coaster of emotions for a lot of people if, if I'm being honest because, you know, some sectors and industries are going to be faster because it makes more sense. You know, Brandon's example was a great example. You know, the Writers Guild. You know, if people are training, you know, large language models to write scripts, you know, to write TV scripts, to write movie scripts, you know, storyboarding is. Is another big piece that goes into, you know, just that, that industry, you know, the. The writer skill, the. The strike, all of that. And there's so many of these tools now that can be leveraged in those environments, you know, kind of in the Hollywood scene. Movies, tv, all of that. But I do think other sectors are. Are going to start to get hit, and it's the big companies, right? Like I always say, if you want to know what's happening, follow the money. Money's getting poured into AI, and those same companies that are pouring money into AI are laying off thousands of people and attributing it to AI. So, yeah, it's. It's going to be interesting. But that's. That's one of the reasons why we started the show, because we want everyone listening. We want you to really be able to keep up with everything that's going on and actually use it. You know that the newsletter is such a fantastic resource, right? I do think hopefully the show here or the podcast, you know, will help keep you informed. But the newsletter is actually where, you know, we share those practical next steps to say, hey, you know, we shared about this, or we had a guest on about this. Now, if you want to do something about it, here's how. So I know we're a little over. We have one more news piece to wrap up, but if you have any other questions, please drop them. So this last one, Brandon, it's a little weird, but it's like, all right, it's kind of cool, but also very weird. So there's a story in Business Insider that will link in the newsletter saying essentially they're saying China's using AI to raise the dead. Give. Give people, you know, a last shot to say goodbye to their loved ones. So there's a lot of, you know, smaller companies out there in China that are specifically, you know, marketing themselves as, hey, we're going to take your loved one. We're going to use all this, you know, a loved one that's passed, and we're going to use all this technology and to help you after the fact that kind of bring them back to life so you can have conversations with them, so you can get, you know, get them to see, you know, still talk to them. So there's different applications, you know, whether it's text, audio, kind of crazy, because, you know, obviously you can do this now, and, you know, Replicate your voice with different AI technology. But that's if you're training it right, like a live person training it. Brandon, what's, what's your initial thoughts on this is, like, creepy or cool?

I don't know. I. I have. I think it's both. I, I feel like this just comes down to personal preference. I could see a lot of people benefiting from this, you know, just for whatever reason. I know a lot of people that, you know, end up in situations where, you know, they wish they said something or they wish, you know, something went differently. So I think it gives people opportunity for closure. But at the same time, I could see other people being very, like, disturbed by it. So I'm, I'm in between. I think it's. It's cool and a little creepy at the same time.

Yeah, I don't, I don't know how to feel about this one. And again, this goes into, you know, just with everything generative AI and how fast it's being developed and in the US the lack of, at least right now, regulation is misinformation as well. Right. So I, I see this as, you know, you know, when someone passes away, when a famous person passes, you know, there's always, you know, rumors swirling on the Internet and all these different things. I, I see this especially when someone famous, you know, comes out and, you know, passes, or maybe they don't, you know, using this technology, you know, especially when someone's voice is so readily out there available on the Internet, tv, interviews, movies, whatever. You know, I can see people using this technology for misinformation and creating, if someone has passed, creating something in their voice and saying, oh, I'm not actually dead. I'm doing this, this and this. And, you know, there's already schemes, right? There's already schemes that people are using this technology to say, oh, you know, this is your grandson. I'm stuck in a different. You know, it's like all those email scams, right, that have been around for decades. People are using kind of these, this voice cloning for those reasons. So I don't know.

That's true. Yeah, I was thinking about that as you started giving that. That is a good example. Like, you know, how. How can people use this? Probably negatively. So it'll be. That'd be interesting.

Yeah. And Sayetta, that. That kind of goes to answer your last question. I think we'll actually maybe create an episode on this in the future about human rights in. In AI. So without. Because that one would take a very long time to dip into so we'll, we'll have to get to that. But I do think, Syeda, that with human rights specifically, that requires a deep dive because there's so many implications, you know, and especially like with that, with that piece right there with China and being able to clone people's voices, being able to clone them as people. Right. Like you can generate your own, like, digital avatar if you're watching us. I promise this is actually me and Brandon in real life, but we could clone, know our likeness to, to speak for us, to have video to present for us. So the human rights piece I definitely want to tackle a little bit more. Tristan, what's up? How you doing? So, Tristan, you, you know, commenting on that story out of China is just saying, I think it's a great way to have loved ones who've passed on but still be able to read books. Oh, gosh, such a good, that's a good idea, you know, and then saying, yeah, of course there's going to be bad actors, but yeah, I, I do think that's a great idea. And they have those, you know, some, you know, toy companies, you know, will have something if you have, you know, somebody in your life who's, who's passing where they can kind of record their voice on, you know, a stuffed animal or a children's book. Right. So that's been, I guess a, I hate to call it a market for products, but that's been out there. But I do think so many people, you know, pass unexpectedly or don't take advantage of that while the person is still living. So, Tristan, I do think that's a good point. That, that's, that will be great kind of after the fact for so many people that, you know, had someone pass on years ago or they never did, you know, do those kind of like voice recordings. Brandon, I do think that, that what Tristan brings up is a pretty good.

Yeah, no, I agree. I like that a lot. I think that would be awesome idea.

Yeah, like when, when people actually use it for good, you know, that's. Yeah, but that's, that's what this gets to. You know, there's all this technology. I think of it like the Internet, but, you know, times 10. And it's like. Was the Internet used for good? Absolutely. Was it used to create chaos in society and just, you know, help push war and terror and bullying? Like. Yes. Right. So there's two sides to the coin. Just like there was with the, with the Internet, with, with the invention of the Internet. It connected people, that brought people together, it helped us you know, research diseases much faster and, you know, all these great things, but there was an ugly side to the Internet and letting the world talk to each other as well. So I do think, you know, Tristan, kind of to your point, I think that's a great, like, fantastic use case, you know, being able to take someone who passed, you know, years ago and, you know, being able to use their voice for that. But yeah, I, I do think on the flip side, like, like what you said, there's going to be people who, who ruin it for sure. All Brandon, we, we wrapped it up. What are you, what are you like as you look over the past week or, or what's to come? What are you going to be keeping your eye on? We obviously have a, a lot of really cool guests lined up for, for the rest of the week, but what are you going to kind of be paying attention to in AI this week or, or what do you think people should, should be paying attention to?

Definitely continue keeping an eye on Google just because of the event that they had last week where they just announced a ton of things. We went over some of that last week, so feel free to go check out those episodes. But I think, you know, with them releasing this, this new text to dialogue, I'm curious, like if they have any other things just in the background that they're waiting to just release. So Google will be one. And then I think maybe also if Meta, I don't know, I think Meta has been quiet. Besides, you know, their huge announcement about their new chip. I'd be curious to see kind of what else comes out about that or if there's anything else that they have going on that maybe we don't know about. So those are my two personal companies of interest that I'm going to be taking a look at. Otherwise, I feel like every day there's something new that I don't expect.

Oh, there is, but that is what we're here for. So with that, Brandon, thank you, thank you for jumping on this morning. Also go to your everydayai.com what Brandon talked about. We're spending hours every single day to help everyday people make like understand what's going on. And you know, we actually spent a lot of time on the newsletter, the second half specifically to say, hey, here's, here's what went on in the world of AI today and here's how you can actually use it. So, you know, when we talk about economic uncertainty and job security and all of those things, that's one of the main things that we're trying to do with this newsletter. Not just to help you keep your job and grow in your career, but also to grow your business. You know the flip side of this is there's so much potential to be able to do things in minutes or seconds that used to take hours or days or weeks. So there's so much potential for to use all of these updates to use all this new technology for you and your business. So make sure to check it out your everydayai.com with that we hope to see you back tomorrow and every day at Everyday AI. Thanks guys.

See ya.

And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going for a little more AI magic. Visit your everydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.