Everyday AI Podcast – An AI and ChatGPT Podcast - EP 5: Will NeRFs change digital imaging

Episode Date: May 1, 2023

Welcome to Everyday AI, the daily AI livestream and podcast giving you the latest updates in everything AI. Today we talk about NeRFs, schools adapting GPT in the classroom, and more than 170 mentions of AI in earnings calls. Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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. Meet Firefly AI Assistant, now live and Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. Will something called NERFs completely change the way that we look at visuals?

I think it will. So that's just one of the things that we're going to talk about today on everyday AI, your everyday podcast for the latest in AI news, tips and tricks. Can't wait. It's Monday morning. And we have our rotating co-host back. Brandon, good morning. How are you? I'm doing well.

How are you doing? Doing fantastic. So let's get in. I'm going to quickly preview what we have going on for you at everyday AI. And then we're going to jump in. So we're going to talk about nerves what the heck that is and how it affects you. We're going to talk about tech leaders mentioning AI an insane amount of time on their earning calls. And then we're going to talk about a Boston Globe story, something very interesting.

happening with chat GPT in Boston University. So before we dive into those, Brandon, let's just throw this out there. NERFs. So, you know, they're brand new. There's a new study that actually just came out yesterday, just talking about this different without getting too technical because, again, everyday AI is a podcast for the everyday person like you and me, people who aren't highly technical. So with these nerfs, their neural radiance fields, it's using 3D imaging and all this crazy,

crazy dorky stuff. But before we go in and talk about it, Brandon, you have a little bit of experience in photo and video, right? Yeah, I do have experience with both photography, videography, working with obviously, mostly DSLRs. I haven't had much work with a mirror list. But, yeah, I've had photo, video work. I've worked, you know, with small capacity with drones, you know, working with stabilizers, things like that. Some of the things that this just blows out of the water and can replicate

like times 10. So it's crazy, you know, knowing how much manual work goes into setting up tracks, setting up drones, a little bit of background. And I did do it like a short film. So I have been on a set and whatnot. But it's crazy that this thing is able to do what it can do based off of my prior knowledge. So it's amazing. Yeah. Yeah. So I think it is worth mentioning. Yeah. has a photo video background. I even kind of do myself back when I was a multimedia journalist back in the day. And so Brandon and myself, I think both personally realize the amount of work that it usually takes to get some high quality visuals, not just high quality visuals, but Brandon mentioned

two big things there. He mentioned drones and he mentioned stabilizers, right? being able to produce high quality photo and video on its own is pretty difficult. But being able to produce video that shows movement, people can spend their, you know, years or longer, just trying to get decent at it. And it's extremely hard. Brandon, what are some of the challenges of getting, you know, video? And then we'll talk about the applications.

But what are some of the challenges of just getting video that shows movement? I mean, tons of things, you know, you have like motion blur. That's one of the biggest things, like depending on the settings of the camera, if you're using manual, if you're using like sport or action mode that some of the maybe other cameras might have. Obviously, if you're talking about bigger equipment that's so heavy to carry, you're going to need a whole track to set up. Imagine like a railroad track for a train, but you have a huge device just following you along. Obviously, in the cinematic field, you'll have even cars attached to cameras, cameras attached. the cars that are passing by. So that's just so many, one, it's money.

That's a huge thing to tackle. Do you have the money to be able to afford those kinds of things? And even if you're just using your own personal equipment, it's just getting that an image that doesn't look blurry, focusing on the right subject. There's just so many aspects to it, but those are just some of the few. Yeah. And such an important thing. So, you know, time is big.

It takes time to not just learn how to create good. video with movement, but it takes, it's costly too, right? So let's talk about this, this new technology, uh, Nerfs. Uh, so not the gun, not the Nerfs guns that, you know, little boys run around and shoot each other with, um, you know, growing up in the house with the foam darts, but neural radiance fields. Don't worry. This is, it's, it's super dorky technology, but the applications are amazing. They are amazing. And let me, let me just, um, let's let's actually talk quick, Brandon, about what this means for the everyday person, right? So not saying that you're going to jump in and learn to develop with this technology. That's not what we're talking about. But how do you think, Brandon,

what do you think are some common day-to-day applications after just learning about this technology? It is pretty new. What are some everyday applications that you can see? And what does this mean having this kind of technology? And we will share this if you're listening, live, you know, on LinkedIn or anywhere else, feel free to drop a comment if you want to know a little bit more. But we will drop this in our daily newsletter as well. So you can check out visual examples because if you're hearing this on a podcast or if you're watching this on the live stream, it's not going to make a lot of sense. But we will share it in our newsletter. But Brandon, just talk about some of the everyday applications that everyday people might be

able to use this for. Right. Yeah. So I guess for anyone listening, imagine a 3D image, but instead of it being some kind of rendering and it's not necessarily, and it's in a sense animated. This is truly just like machine learning, taking an actual image and creating a real actual 3D photo of this thing. So you're seeing what it actually looks like. The closest thing I can think of is maybe VR, but in image format. And so I'm thinking real application uses, obviously real estate's huge. So being able to tour real estate and even just architecture in general. So being able to tour a whole building.

I mean, even before it's built as an example. So I can't imagine, you know, even if you're just looking, if you're working, even in a basic capacity and you're not necessarily a contractor yourself, maybe you're looking to build a new house as an example. You could probably create a whole nerve of your house, if that's even the proper use of how we're going to call it like a nerf, and just see what it looks like. And I'm even thinking this is probably further ahead, but the way we use AR,

it's limited, but the way it's mostly pushed, I know, on apps. Amazon, like, see what this furniture looks like in your home. I mean, I can't imagine. Those are obviously kind of like a little pixelized. They look a little bit animated. But imagine if this is somehow implemented into like phone AR use case, that would be amazing to be able to see what things look like right in front of you from a more realistic perspective. So that's what I'm thinking. Yeah, absolutely. I'd say the other thing is it allows. So keep an eye on this technology. We'll continue to be talking about it, probably on the daily show and the daily newsletter. But I think it allows everyday people to start to create something, to create a story of their own,

to give their, you know, if you're a small business founder, if you work in marketing on a small team, this gives you capabilities that would normally not be afforded to someone unless you had a six-figure budget for video production. To get these kind of visuals, again, Brandon and I do have that background of shooting photo and video, you would need a high quality camera. You would need multiple people on a crew. You would need probably a 360 camera. You would need what Brandon talk about, like a stabilizer. You would probably need a drone shot. This combines all of those different technologies. So, you know, I just named three or four different cameras, multiple pieces of external equipment, multiple people. The technology will get there. It's not perfect, but it is

amazing with how new this technology is in the outputs. That's why I wanted to spend a good chunk of time this morning on it because for the everyday person, you know, it can get your side hustle off the ground. It can grow your small business. If you're on the marketing team and no one else on your team knows about this, you can get in and you can create something that is going to blow everyone on your team away. So keep an eye on that. And we'll continue to talk about it. So So let's real quick talk about the big three in AI, right? You can make arguments for who the big three in AI are. Personally, I think it's Google, Microsoft, and META.

So META is, you know, obviously Facebook, Instagram, WhatsApp. There might be one or two other that they bought recently. But those are kind of the big three. So we actually mentioned this in our newsletter, I think on Thursday or Friday, but we didn't get a chance to talk about it. and I think it's important. So there's a recent study that came out and analyzed the amount of times that in these quarterly earnings calls, so big public companies like Meta, Google, Microsoft, they have

quarterly earnings calls. And people have actually analyzed the amount of times that they've referenced, you know, AI, artificial intelligence. And what these studies found is that it's exploded with this most recent earnings calls. those three companies mentioned AI more than 170 times. And you all will recognize or realize that I did leave a pretty big company off that list. Apple. We've talked about that before.

I do think Apple will come in and make some huge splashes in AI. But right now I wouldn't consider them top three players yet. I do think they will be. But let's get back. Brandon, you know, hearing how many times these people mention. and AI on these calls. What do you think that means? What does that tell you? I think it's just, obviously, if you're kind of keeping up even with just daily AI news, you know it's not just a trend. It's not just something that's, you know, going to fade like other things might have

in the past. But I would say that this just makes the argument that this is something that, you know, smaller businesses and organizations should be paying attention to if you haven't already or if you've kind of seen it as like the cool party trick. It's definitely more than that. And obviously, that's what our podcast is looking to do to help you realize that. There's so much that you can apply to the use of AI. And so I think it's just solidifying that this is the future and it's already here. And so for people that maybe may not know what's going on or may have an idea, hopefully you can kind of catch up and pick up what's going on so that you can make a small organization or a small company can make, you know,

three times more movement than a large organization can in terms of structural changes, just because of the way and the flexibility of them. And so for you to have the ability now to maybe take the step and match what bigger organizations like Google is doing right now is going to be huge. And so I think that's really important for people to pay attention to. Yeah. So I think that's a great point, Brandon. Another something to talk about is I think this means something bigger for just the venture capital industry or the startup space, right? that's not everyone listening, but I do know that some of you listening probably are involved in that space.

And I think that's, it's something important because, you know, anecdotally and, you know, looking at studies is it seems it's harder for startups to raise money if you do not have an AI piece central to your company. So I do think that this is a trend that, you know, unfortunately will probably continue. it will probably continue to be a little harder for smaller startups to raise money the same way they could a year ago, two years ago. If you do not have an AI central piece to your software, to your company, to your platform, whatever it may be, I don't think that's necessarily good for the industry, which might sound crazy like, hey, Jordan and Brandon, you guys are talking on an AI podcast. Why do you think that's bad?

because I don't think AI should be infused in every single startup because then it creates just this, I think, a jumbled mess and, you know, group think. I think one of the reasons that AI has exploded over the last, you know, nine months is because not everyone was using it. And that allows people the creativity and the ability to think uniquely and to separate themselves from the PAC. So if everyone is using AI, every single person, I think that actually dampens the likelihood for innovation. But that's a tangent for another day. So let's quickly talk about the kind of our third big development. So Boston Globe story came out over the

weekend talking about students working with faculty actually developed a policy for using artificial intelligence in the classroom, essentially saying it's open to use the technology, you just have to disclose when you use it. Seems like a pretty common sense policy to me. Brandon, what are your, what are your takes on this, you know, using, using AI in the classroom? Yeah. This kind of goes back to what we were just touching on, but I do think it's, I think it's good to, you know, in a certain capacity. Of course, you still want people, depending on how it's used, obviously, you still want people to be able to, to learn on their own and develop their own thinking, writing skills as an example. I know this is in a college setting, but, you know, even using

it at a lower level. But I think it is good. I think it is a step in the right direction, only in the sense that I think we should be honing in on those skills of using, you know, chat GPT or other AI just to be able to have that knowledge. So when you are going to look for something in your career, I wouldn't be surprised if that's like in five years, like, you know, have a good knowledge of chat GPT or be able to use this and this AI. And so I think it is, something that this should be introduced. I think college level is good. High school, I don't know, we could get to that. But yeah, I don't know. The only thing I'm thinking in the back of my head is, you know, how can we implement it in a way where you're still learning, but you're adapting and not

just like having it do everything for you, but you're not realizing like its capabilities. For sure. I think this is important and we're going to continue to see a lot more of these stories and studies come out. My personal take is I think it should be required. To me, it's almost crazy that this is one of the first big stories that we've heard about official, you know, AI policies in the classroom. I think that students obviously have been using this technology. You know, students aren't dumb. You know, they've been using it. You know, if you're listening out there, go, if you know a college student or two in your life, ask them if they're using chat GPT for their papers, their assignments.

They all are. So you might as well not just make policies encouraging it. But if I was a professor, I would make it a requirement. We would, instead of having a paper due every other week, there would be a paper every single day. There would be a paper due every single day and you would do it in class and you would have to leverage GPT just in order to get it done. And you'd have to fact check it and, you know, make it, you know, well thought out and well research. But I think that's, that's the future of where learning is going is, you know, it's kind of think, you know, when I was,

you know, in high school, it's kind of when the internet was first, you know, becoming very, very popular. And it's, you know, we use the internet, you know, to help write our stories, right? Like, obviously source it and paraphrased it. So it's a little different I get. Another conversation. for another day because I'm going long on this. And I do want to wrap this up. But it's great that we're talking about chat GPT because as a reminder, everyday AI is giving away two year long premium subscriptions. So if you don't know what chat GPT is,

listen to some of our prior episodes, but you probably do. It's an amazing tool. The free tool is great. The paid subscription is definitely worth getting. Everything's much faster. You get some different capabilities. that aren't in the free version as well.

So make sure you go to your everyday AI.com. Sign up for the daily newsletter. That'll be in there. And I'm also going to leave you, even though we're a minute over already, I'm going to leave you with one tip and trick. I'm going to try to throw out one thing that everyday people can do with AI

to start integrating it into their daily lives. So I'm going to start there, and I'm going to start with something very simple. Today, if you don't already, I would encourage you to open a chat GPT account. So just go to OpenAI. That's the owning the parent company. Open an account.

And here's what I want you to do, something very specific. Instead of going to Google first, I want you to go to ChatGPT. See how it works. A couple things to keep in mind. Chat GPT is limited in terms of freshness. So if you need something that's extremely relevant, so chat GPT's kind of model only goes up through September 2021, keep that in mind. But if you don't need the freshest of information, if you're just doing some research or something that's not timely, I encourage you to start in chat GPT and talk to it as if it was someone on your team, as if it was a research assistant.

We'll get into what that means later, but that's kind of the tip and trick for today. Don't use Google as much. Go in and use chat GPT or you can use Google Bard is kind of another one. Bing has Microsoft, you know, Microsoft has their Bing chat. So instead of just using a normal Google search, use chat GPT, use one of these other kind of AI chat models, I think it's going to do wonders for your growth. So we went over. That's okay. I think there are some important things to tackle today.

Thank you so much for tuning in. And we hope to have you back on the show every day. Again, this is Jordan and Brandon signing off for your everyday AI. Meet Firefly AI assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio. Just describe what you want to create in your own words, and the assistant handles the rest, orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface.

You direct the outcome while the assistant accelerates execution. Stand control with the ability to step in and refine at any time. See it today at firefly.adop.com. 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.