Episode #11: AI Predictions for 2024

Our mission here is to really democratize AI, to get more companies leveraging it, realizing that it's not something to be afraid of. And that if you have a product, whether you wanna launch a new AI product, or you have an AI product that you wanna go to market with, that we have three different workshops that we're offering for free. But that basically we will help you, if you're an AI product that you need to launch and wanna go to market, we'll help you kind of lay out your high-level go-to-market strategy. If you're a company that wants to incorporate AI into your business, then we can help you kind of think through what does that actually look like? We can do some real proof of concepts where you can come out of that saying, okay, yeah, we know we can actually do this idea. So an example is one that we're working with right now, which is, we won't get into the detail, but they're basically being able to take recorded conversations and score them against a bunch of rules. So, for example, if you were a lawyer and you wanted to interview one of your customers, you could say, okay, here's the recording, how well did I do? And then give us feedback. So we go through and we actually, we come up with the actual proofs of concept that we prove out that it is, can you actually do this with AI or not? And then if you do, then we can actually implement that at scale. And so, yeah, if you go to bigcheese.ai/workshops or just go to bigcheese.ai, you'll see the workshops in there. You can see the three different types that we offer, apply for it and yeah, we'll do it. (upbeat music) (upbeat music)

• And welcome back to the Big Cheese AI Podcast. I'm Andrej Herakles, joined by Sean Hyes, Jacob Wise and Brandon Corbin. And guess what? We are all in the same room and we've been in the same room for 10 episodes. If you guys have noticed, yeah, guys, we're in the same room, new setup, new year, same crew. All right.
• New website.
• New website.
• Bigcheese.ai.
• Yeah, if you guys haven't checked these things out, subscribe to our YouTube channel at Big Cheese AI, follow us on Twitter, LinkedIn, Instagram. We're posting a bunch of great stuff. Would love for you guys to give us a follow. But today we're diving into bold predictions for 2024. And I think we got some hot ones, three coming from each one of the guests. We all get a couple of minutes to talk about them and we gotta move on because we'll talk about it for like way too long. I'll go first. My bold prediction for 2024 is that if we look back at 2023, we saw this huge immersion of all these new startups coming out and everyone's leveraging, like ChatGPT gets mainstream, ChatGPT 4.4 comes out, turbo. People are like, this API is incredible. Every little kind of startup you can start starts to come up. But I'm curious, are these companies gonna make any money? Like, are these just commodity-based companies? Are these companies that are actually gonna get a lot of subscribers? How many subscriptions will one person subscribe to for something that you could probably figure out how to do on at GPT? So my general prediction is that SaaS companies that were made in the last five to six years that have already got the B2B penetration, adopt AI and that's what becomes the B2B offerings. I don't think there's a ton of new B2B offerings in terms of AI, in terms of new companies. I think a lot of those are gonna be absorbed by existing companies that already have the client base. I think on the B2C side, it's a little bit of a wash. We'll see which one sticks out. My bold prediction is that legacy SaaS companies that have been around for the last few years win big in the new companies. We'll see how many actually are a success. Well, we know for sure that big tech's outspending VCs when it comes to AI. We also know just from looking at our website that new AI products are coming out every single day.
• And a lot of them suck.
• And a lot of them suck. So there is some validity to the question is like how can a niche AI product that serves a single need last especially in a subscription model? And in a world where you're getting charged for the tokens that you're using when you're using an API to process all these transactions, you know, it is gonna be hard to make money. So I'm gonna go ahead and I'm gonna put a thumbs up on that one a little bit in terms of from my perspective, I do think a lot of companies will start and end. I think Brandon talks about it a little bit as like how much is the investment on the product though? Like, 'cause people are coming up with stuff quick and just seeing what sticks. So maybe it's not something they spent three years on and maybe the risk is a little lower, so.
• So I'd be really curious. So I did a review yesterday of petbooth.app and it's basically a way where you can upload a bunch of your photos for your pet and it's gonna generate some images for it. It was 9.99,��ℎ����ℎ��′��50����′�20��������������.���������ℎ��′�������������������ℎ���������������������.�����������ℎ���ℎ,�����ℎ���′��������������������������.�������ℎ�����′�����������������ℎ���,�������,����������������������ℎ��������,����′�������ℎ����20�����.�ℎ�����ℎ��������,�ℎ���,����,9.99,Ithinkthey′re50soit′s20bucksbasically.Yougoandthey′regonnagenerateyouahundredimagesofyourdog.OnceIdiditthough,likethere′snoreasonformetogobacktoit.AndsoIthinkwe′regonnaseealotofthese,youknow,singledevelopersbuildthesetools,sayI′mgonnacharge20bucks.Theymightmaketwo,three,four,500,000 off it, but that long-term, there's just not that stick and that people are ultimately gonna have to figure out how do I get my $24 a month from my open AI.
• Yeah, everybody's still trying to follow the game plan of like how do I create a monthly subscription? I think you're right. It's gonna be the ones that last, have some sort of differentiation and then also their pricing model actually makes sense. Like I don't need to pay 25 bucks a month to generate pictures of my pets. Like I can do that one time. I'm good, maybe once a year for Christmas.
• Right, yes.
• I've got, so my first bold prediction, maybe controversial, but I predict that this will be the worst year for customer service in the history of the United States of America. Because so many companies are going in and firing all their customer service representatives and replacing it with below average subpar AI chatbots. And they're trying to build up that capacity to do this work with artificial intelligence. And the models aren't trained right. They don't understand the processes in a lot of cases. So I predict, bold prediction, the worst year for customer service ever.
• Well it's funny, there was an article that was just, can we scroll up on this? I know you guys can't see this and we're eventually gonna get our monitor to be part of the thing. But there was just another client with a queue, I think, was just launched a couple days ago and its whole thing is basically a voice-based customer service tool. And you're 100% right. I think this is gonna be the most clunky way of customer service this year. So that's a great prediction.
• Yeah, and I think one of the problems that they're gonna have is these companies are gonna adopt this way too soon before they actually know their processes correctly. The bigger players have data, they know the flows very well. They can use that to their advantage. They have a lot of throughput. The medium or mid-sized companies, they just don't have it. And they're gonna trip over themselves maybe a little bit, so I totally agree.
• I agree too, from a startup's perspective. That's the one thing you wanna be able to say in an investor meeting or some meeting with someone. Like yeah, we're actually saving a ton of costs because we're replacing our entire customer service part of our financial model with AI and we're gonna save this much money with monthly burn. I mean, that's the first thing I would think of.
• Any of these tier one support companies that are doing, they're outsourcing their service desk to these companies, they're seeing dollar signs and they're going to implement this stuff and they're just gonna sacrifice customer experience. They'll get it right, maybe not this year.
• That actually brings me to one of my predictions which is almost the inverse of that where I think small businesses that adopt AI into their day-to-day practices are gonna win and it's gonna be specifically around customer service because they're going to be able to spend more time on customer service because they're freeing up their time to do documentation and emails and those types of things. So that's where they have their edge to begin with is that sort of white glove service. The ones that win, I think, in the small business realm are gonna be the ones that do embrace it and don't try to automate everything all the time but use it where appropriate and where it can help them.
• Where they're automating inside of their business versus automating away their customer interactions because in a small business, your customer interactions are so important. That's the last thing you would outsource.
• Yeah, I mean, I actually completely agree with that. I do think that in a world, and I've said this for a few episodes, right? It's kind of like my general thought. I think that the human-to-human interaction over time with the evolution of AI and all these software platforms and these different mediums is the number one way to succeed in business. It always kind of has been, but as you move farther and farther away from that human-to-human connection, you're moving farther and farther away, in my opinion, from dollar signs. So yeah, Jacob, I completely agree.
• Now, will small businesses adopt AI?
• So again, I think AI is just going to be another technology. That's it. It's not gonna be some fancy-dancy, I mean, databases. When databases came out, all of a sudden, hey, look, we can store databases, we can query databases, we can interact with databases. This AI is just another form of a technology that we can incorporate, that we can leverage, that we can use. Right now, it's all super hot and sexy and everything's like, oh, all AI all the time. But in reality, it's just another technical implementation, thank you. And so yeah, I think more and more will be adopting it just because they don't really have a choice to do it.
• Yeah, I think on the small business side that you're typically the small businesses that leverage technology faster. From what I've seen in small businesses, like I've seen companies that are in like a blue-collar industry, for example, and they're applying like some traditional white-collar growth and operations and sales that just are completely outpacing everyone else. But I think it gives everyone in the small business realm that advantage to excel, to have elite operations because you can use the power of AI. I mean, I think it can at least help you get there faster.
• So I've got three predictions. Mine go from obvious to you're crazy. The first one being that AI, so and I know I've been kind of a naysayer that AI is gonna be hurting people's jobs and all of that stuff. And I'm like, eh, it's not that big of a deal. The more I've been thinking about it since we've identified that we need to do this predictions thing, is that I think developers are going to be hurt by AI. Only American, United States-based developers. And the reason being is that American, US-based developers need their $150,000.
• I wanna make some more money than American.
• Exactly, right? And before you could always outsource, you could always go to India, you could go to China, you could go to Pakistan, you could go all of these places and get someone for anywhere from 13 to $20 an hour. And they would produce okay work, right? Like it was okay. It wasn't phenomenal.
• Okay at its best.
• Okay at its best. However, now they've got co-pilot. Now all of a sudden these one X developers become five X developers and they're producing code that is on point with anybody that you would find in America for 150,000�����.�������������������ℎ��′������������������ℎ�������13��150,000ayear.Andnowallofasuddenthey′restilldoingitfortheirsame13to20 an hour, but they're leveraging the tools to make it so they can actually produce code that is better than what we would find.
• Twitter I've seen too. So Brandon's prediction regarding this AI hurts American developers more than others. So there's a trend on Twitter where snooty, really smart developers just shit on co-pilot. And have you seen that? They're like, oh, I stopped using that. I find that I'm faster without it. And I think that comes from a place of insecurity.
• I do too. I also think, well, here's the other thing.
• I have seen that and I was like, what are they doing that they don't think this gives them value? And it's probably insecurity for one, but two might be that what they're doing is so specific and so technical that maybe it can't help them as much, but they're not in the weeds enough on just the low hanging fruit code that co-pilot really helps accelerate.
• Well, let's be honest. There are some. There are engineers that, call them developers, call them engineers, in America that are working on some very nuanced stuff. And I would say more than other areas, if you will, where you're talking about highly specialized individuals that have been writing code at Facebook, writing code at Google for years. These engineers have a different level of experience. And to that extent, I would agree. But they're not outsourcing those jobs anyways. So the guy that's just riding that coattail for 150 grand a year and writing basic crud stuff, bye.
• Specifically, one of the examples I saw, which is to that same point, was somebody was like, oh, for Laravel, it suggested I do something, but I could have just used middleware and it would have been better. And I was like, yeah, but the other solution was okay too. It wasn't the best solution. Now, if you put the pretty good solution in the hands of someone who was gonna produce like a bad solution before, it just brings them up a little bit more. So it makes them more valuable. It's like, yeah, of course, this is gonna enable those people. I also think we're gonna see a shift of American developers to more management. And managing the near short, because I think there's an absolute gap. If you're gonna have more outsourcing, you need to have people who are proficient in speaking tech and specs and requirements to those new army of developers.
• Absolutely. I mean, is there a situation where the average developer in America starts to get paid less? And where do you guys think that lands? I mean.
• If all of a sudden everything that I'm doing, I can only make 40 grand a year doing, I'm not enrusted in it. So I probably end up leaving.
• My second prediction actually is kind of challenge that just slightly. 'Cause I agree with it, but my challenge to that would be that in 2024, developers are gonna be asked to do more than ever. And I think that you're basically saying, I'm not going to reduce your pay or increase your pay, but I am gonna expect more from you. Because what I've seen in the industry and what I've seen from people is non-developers are getting smarter and more technical. And they're able to evaluate developers' work because they've been doing it for years and they're sick of hearing crap. Like we got sent some interesting findings on a website from one of our clients. They were like, "Sent us some pretty detailed findings "from like a Lighthouse report." And sure, they might not have understood all the technical details of it, but they knew, you know what, we're gonna hold these developers' feet to the absolute fire on this. We're gonna make them commit to the exact promise that they gave for us. And two years ago, they wouldn't even know what Lighthouse was. And so my point around expecting more from developers and expecting faster and higher velocity is basically where I've instructed our company to be because I believe that I am expecting that out of my own development team. Is we need to be adopting these tools and moving faster so that we can justify the same rate as we've been paid for years.
• I think of the perception of, and now I'm sitting around a group of developers, so don't sit here and attack me, but like the perception of the value from a developer has fundamentally changed since the advent of ChatGPT. So before you had a situation where if I was like, "Hey, I need a website built." Anything past Wix, once I saw code, I'm like foreign language, I don't understand it. That has to take a lot of brain power and I'll pay as much money as I need 'cause I literally couldn't even tell you where to start with a line of code. And that was everybody when it came to everything. And I think that's why there was so much value and that's why developers, how much we paid developers increased so much because it's like, "Well, dude, this is a foreign language. "I couldn't even begin to think of it."
• Developers made stuff really complicated starting around mid-2010s. React was advented, you had Node, you had all this new tech stack that came in.
• Not knowing you and Demo does.
• Yeah, and we literally talked ourselves, we backed these entire companies into a corner where it became really hard. Now these tools have matured. But also now you have people. The whole thing about non-developers going into ChachiBD and acting like they're gonna build entire apps is very enticing. And I think they're gonna get pretty far. The question is how far can they get? And how many people are gonna be like, "Hey, I've got this app and that's 75% done. "Will you finish it for me?" And the guy gets on there and he's like, "Fuck this."
• So that is gonna parlay into one of my predictions, my next prediction.
• What do you got?
• And so this is one of my far out ones and it's only gonna be announced in 2024. It won't be implemented fully. It's gonna be a new programming language that will be based on a large language model that will do the compilation. There'll be two parts. There'll be a compilation level and then there'll be a runtime. And that it will be a more of a natural language writing style where you can just go in and kind of describe what you want and it's gonna be compiled down and it's gonna be able to be compiled into different languages. And there will be both the compile and the runtimes that will let you do it. A no-code platform and a traditional just programming language. Think of AppleScript, right? AppleScript did try to be like this natural language like tell Finder to click this button, you know? But now we can do it with large language models and it doesn't have to be syntactually perfect.
• Yeah, pseudocode decoded.
• I was saying, when you were talking about like, I agree, non-coders shouldn't go to chat GPT and try to write a whole application. There's just too much knowledge gap that it would take you forever, it wouldn't make any sense. Get started, ideate, whatever. But that is what came to mind for me. It was like just better building block solutions or what you said, a natural language interpreter that actually can compile down to code. And then give it to somebody that take it to the finish line but I think that's a great prediction.
• I know, I say that and I think that we also underestimate the persistence of human beings and the things that they can create. And I think that there's gonna be some, especially the younger generation that are gonna learn this stuff by using chat GPT.
• I was like, ah, I wanna build something with Rust. I constantly am like, I'm jealous of Rust developers. I follow them on Twitter.
• They're so cool.
• I'm like, you guys are the crustacean people.
• So performant.
• So look how fast it is. You know, I use hyper for my terminal. So I'm like, all right, I'm gonna build a Rust application and I decided I'm gonna use cursor, the new IDE that's based on VS code, but it's got all the AI stuff kind of built into it. And so I'm like, hey, I wanna write this and it starts doing it. I start kind of getting it figured out and then I get an error and I'm like, hey, tell me about this error. And it's like, oh, well, yeah, you need to use this. So I go and I use this. And then it's like, oh no, that problem with your version of React, it doesn't work. You need to use this, which was the original problem. And I just got into this infinite loop and I was never able to figure it out. So we're still far away from it being to a point, 'cause again, I think I'm fairly technical. I think I'm fairly smart when it comes to the code, but I could not get the, all I'm trying to do is resize this browser window.
• Are we accidentally gonna generate an entire generation of incompetent programmers?
• Oh, yes.
• That have no fundamental knowledge whatsoever.
• I think there's gonna be a division, right? And I think you're gonna see that the people who are like the PhD mathematicians, like the people that work at Prompt Privacy, these are like a level of nerds.
• Prompt Privacy, I expect you guys to start sending checks. (laughing)
• But you can't even comprehend how nerdy these guys are, but they're writing stuff that's just like, I can't do. Again, I'm a builder. I take stuff from smart people. I take some of my designs, I group them together and I've got a product, right? These guys are writing the super low level like mathematical stuff.
• Yeah.
• It just blows my mind. Those people will, their salaries are gonna go up. They're gonna be the ones that are making the $950,000 a year at OpenAI. Right, and then donkeys like myself who are just gluing together scripts are just gonna go from our 150 down to 30. It's my guess.
• Yeah, no, what I was gonna say on that was, abstractions have existed for a long time, right? Every new thing, new language is another abstraction on top of the others and I do think the old guard is always thinking, well, they're all gonna be dumb. Well, yes, they're not gonna know the fundamentals as good as the one before them, but they'll be able to do more with less and get further down that line. So it's gonna be more commoditized. These things happen. Programming becomes more, people can do it, more commoditized, but what are you doing with it? What value are you now driving to that business is asking you to do the thing? Or what businesses are you creating?
• Right.
• So.
• Yeah, no, I mean, the direct correlation I see to the point with like, are these new, this next generation developer's not gonna know anything? Probably not, but it reminds me of this situation where I'm driving in the car of my grandfather and I'm like, I need to go to X address, wherever the heck we're going. And he's like, oh, that's off this street and the crossroads of 16th and Meridian and it's all based off Washington and Michigan. I'm like, what's going on? He's like, you don't know, how do you not know the way the roads are set up? And I'm like. - How the city was structured.
• Yeah, how the city was structured. It's like, I have no idea. I type it in my phone. I always have my phone, when would I not have my phone? If I didn't have my phone, then I don't know. You know what I mean? And so it was a situation where he was like, he had a generation that literally knew the entire road structure of Indianapolis. And they thought, well, how in the world could someone else not know the road structure?
• There's East Street, there's West Street.
• I have no idea. - There's South Street.
• I put it in my Google Maps, but it's like, we didn't need to know it, but the computer did it for us. But it's not like we can't drive. But we don't know the directions anymore. And so-- - But you didn't need to, is the point. - You didn't need to. And so I think the situation will be like, they just, it's not that they won't know it, they're not gonna need to know it. That's gonna be the difference.
• So until we have a, what are they called, where the sun blasts a bunch of particles, and it basically is just gonna wipe out our entire electrical grid. - Oh, yeah, yeah, yeah.
• And then all, we're all like, you don't need to worry about how to do math, we've got calculators, you know? Or you don't need to worry about this because we've got this technology. Then all of a sudden we have the great reset that wipes us all back out and we become cavemen again.
• Yeah.
• Yeah, that's gonna be kind of a problem.
• Yeah, that will probably be bad if we all go back to being cavemen. I think we're gonna be out of $100,000 jobs for sure.
• Prediction goes out to Steve Jobs, and it's in 2024, based on my experience, in 2024, skeuomorphic design's gonna make a big comeback. It's starting to pop up, and we need it more and more.
• And here's the reason. Skeuomorphic design takes more time, and it requires a skill set from a designer's perspective that doesn't always exist. The reason why things got flashed is 'cause no one knew how to do skeuomorphic responsive. Right? They're like, oh, it's mobile, it has to be a green box. Right? And it can't have any shape to it. And skeuomorphic design is you design things that appear like other things in the real world. Well, AI is trained on images that are from the real world. So when people are going and getting design inspiration from AI tools that are trained on real world images. And so that's why when we go do a lot of this research on DALI, and we're saying, hey, give me an inspiring design, it's all skeuomorphic because it's based off of the real world. The pictures, they're not taking pictures as screenshots of websites. They're using, they're thinking about actual real world physical interactive elements. And so I think combination of the way that AI image models are trained, and the way that AI is augmenting design inadequacies or design shortcomings, right? Or capabilities that designers don't typically have. I think that, I think you're gonna see a big resurgence. And I think that's gonna increase, I think that's going to create opportunities for, in my business, which is kind of UI/UX design and UI development, I think you're gonna see a lot of really cool UIs get built this year.
• What's skeuomorphic?
• Skeuomorphic is designing things that look like real world things. So like the first iPhone came out with a, it had a books app, right? And the books app wasn't just a tile of thumbnails. It looked like a bookshelf.
• It's a UI that's matching the real world. What's kind of it, so we went, I think it was iOS six to seven. Seven became the flat, right? Where Johnny Ives came in, he took over because they, Apple kicked out whoever, I can't remember his name, but he was the guy who was kind of pushing a lot of the skeuomorphic stuff. And then they went completely flat. So it's fascinating though, because most designers, at least historically, we would copy what Apple did. Apple would come up with a new style, everybody would steal it and implement it, right? I hadn't really given a whole lot of thought of what happens when an AI, who's just giving us generative inspiration, is giving us that because of the real world photos that they have, that, because I've constantly been waiting. I'm like, who's gonna be, who are we gonna steal from now? Right, 'cause Apple's producing stuff that's pretty much just mid. Like everything that they're producing is, I mean, it's fine, it looks good and great, but it's not like that transformational jump that we used to see, where we all of a sudden go from like a 640 by 480, I'm dating myself, to this beautiful design and they've got drop shadows, they've got this like glossy buttons and stuff, where it's like, oh, we're stealing that.
• Apple perfected mobile UI with what they did with their design system. And now you're seeing it in their modern development platform, Swift UI. That it is unbelievable what you can do with literally just their UI components. And they, Steve Jobs had the really novel concept of making the UI thread take precedence. So they built this operating system that when you press a button, that fricking thing presses, right? And then they coupled it with a design system that had so much research put into it. So it's so hard for them to do anything that isn't just, this is the proven best way. But not everything has to be the proven best way, how do you get somebody to click through a screen, right? Some of the things that we need to do need to be creative and nuanced. And so like, but when I was in college, everyone was designing in Flash. And there were some really cool experiences that people created with Flash, because you, there was kind of the world was your oyster. You could make a cartoon clickable, right? You could do whatever you wanted.
• A frog in the blender.
• Yeah, you could just, and so things that were hard were easy then. And then with the advent of mobile phones, everything just kind of got dumbed down. But now I think you're gonna see a resurgence because of just the ability for us to, like I said earlier, people are gonna ask more of us. They wanna see some cool stuff. They're like, "Hey, you've got all this time on your hands "'cause chat GPT is writing all your code. "What can you do that was cooler than what you used to do?"
• I truly think that in 2024, Google is going to be the one that comes out the victor. And I just think that they have too much data. They have too many smart engineers. It's just too much product, right? Like they're in our emails, our calendars, everything that I think AI is geared to help us with from a productivity perspective to a consumer, they are touching, right? I just think that, I have Microsoft stock. I just don't have a ton of faith in their B2C, come, you know, ability is there. I think Google is gonna come out the victor this year.
• Would you agree though that Microsoft became the victor this year?
• Yeah, yeah.
• In 2023, Microsoft kicked everybody's ass.
• Was it 2023 when they made the commitment to open AI? Yeah, so that happened within that year.
• I mean, maybe it was like back in 2022, but.
• The fact people willingly go to bing.com right now is a huge win. - 100%.
• Like it wasn't--
• I installed the Copilot app on my iPhone. I never installed Microsoft things.
• Yeah.
• And now--
• Microsoft has consistently made really, really good investments on the B2B and enterprise side. Right, I mean, buying GitHub was genius. I don't know how much they bought it for, but I'm sure it wasn't, I'm sure those guys made a ton of money, but it's that they bought literally all the code. Right, and then you're talking about the investment.
• All the open source code they bought.
• I mean, they literally bought it. I'm sure there was some sort of thing that says they own it. And then the open AI investment makes a lot of sense. But as long as Google can make Google Drive searchable, then I'm good, I'm good. I'll totally vouch for your prediction.
• Just change the UI to be slightly better as well while you're there.
• A new AI device that's gonna come out. So we already know that Sam Altman has hired Johnny Ives, so Apple's former design aficionado, his company Love Form, to generate a new AI device. I think it's gonna be a watch, is my prediction. No, they haven't announced what it's gonna be. So you have Humane AI Pin, which is a little pin that you can wear, and it displays it on your hand, like the UI, you're like, "Beep, beep, beep." And you can interact with it and take photos. I'm like, "Well, my fucking watch does that too. "I don't need to have a little pin on my chest, "I can just use it on my watch." So Tan Tang, I think is his name, he was a former VP of design for iPhone and Apple, or an iWatch. Johnny Ives just plucked him from Apple, and he's now at Love Form. So my guess is it's gonna be a watch interface that will be open AI powered, that will let you basically do everything that you can kind of do on a new phone. I don't think it will be a phone. I'm sorry, on a watch, but I don't think it will be a phone, I think it will be a watch. My final prediction is that, so Builder.io is a product we use, and they take text to code, text, you know, and they did just a pretty good job of it, you know? But they have a whole article on how, they have a whole chain of models that input comes in, and then it takes these 10 or 20 steps to get you that output. I think 2024 is gonna be the year of the multimodal, so lots of different ways of getting input into it, images, text, all that. But we're gonna have this explosion of very purpose-driven products that are way more specific, but they're gonna get way better because there's so many different actions that are going on behind the scenes. So hitting an API and getting some content, doing, you know, so all the things that are required to do more nuanced work, we're gonna start to see some of those products emerge in 2024.
• Yeah, Builder.io is an interesting product because, like you said, there's so much to it. Like, it's an example of a product that I would say is almost mind-boggling how much there is to it.
• But you're in Builder.io UI, right? You're in that interface and you're doing whatever. Why is it not in VS Code? Why is it not in your development tools that you're already using?
• We've been using it starting in Figma.
• Oh, so you go from Figma to Builder, and then it generates, and then you take that into-- - Yeah, yeah. I haven't gone down that path, but there's pieces that, yeah, it's not just sitting. It's definitely got its hooks into different places. They call, I guess that product in general is just one of those things where you open it up and you're like, "This looks like it would have taken years to build, "and it didn't." You know, it took less than a year to build, right? And it's by one of those 10X developers on Twitter that literally was an influencer, made a bunch of videos on how to write awesome React code, and next thing you know, he's an AI engineer building AI products. So to Jacob's point, I kind of agree. I think that there's definitely gonna be some super products that come out for niche reasons. I think you'll probably see it in music, code. You'll see it in video. There's probably gonna be some, you're probably gonna see some of these micro products that evolve into major, major software releases that have kind of a transformational impact on whatever industry they're built for.
• Pika, I think Pika. Pika's gonna be like, if I was a betting man, I would lean into Pika being kind of that next evolution. Right now, they're only generating, you know, what is it, eight second videos or whatever. Yeah, but if you go to bigcheese.ai, you'll see that our hero image is a bunch of big ass cheeses flying through space. And I literally just went to Pika and it was like, just give me 3D, you know, cheeses flying through space. And it generated that image. We'll get to a point by the end of the year, I bet, that you'll be able to produce, you know, 30 minute videos.
• Well, did you see Lego's commercial? They, we'll have to share that in the show notes, but they produced a commercial using AI. I forget what tools, probably a handful of tools.
• Was it as twisted as like the pizza commercials where people were like, "Whoa!"
• I thought it was great.
• Okay, all right. - It was great. You know, and so we'll share that, but you know, I totally agree. Like those products are gonna get way better. And the other reason I think that the smaller chain, less large language models is gonna be key is 'cause cost. For me to use open AI for a handful of tasks a day is very cheap, but to use that in a product for millions and millions and millions of requests is not only slow, but it's super expensive. It may be a magical bullet that can do a lot of things very well, but yeah, it's slow and expensive, so.
• I would say my last prediction for 2024 is that we hit 1,000 subscribers.
• Wow.
• And we've got our first sponsor by the end of the year.
• Sponsor?
• Yeah, first sponsor.
• Prompt Privacy.
• If you want it, we're, Prompt Privacy's a fantastic platform. You guys should all go use it.
• We're sitting at 157 subscribers.
• We have 157 subscribers.
• That's another one that I'm leaning into.
• Vectera, by the way, so if you're looking for an interesting search solution, Vectera, V-E-C-T-A-R-A.
• That's the industry AI leader for each industry, and we link to their product. Like the video industry leader, Pika, the audio, Sono, or whatever.
• I love that.
• I was just overwhelmed the other day. You should, you should do that. You might have a promising career in that one day. I was just looking at our weekly, and I was like, oh, that's cool, and I get shiny ponies. You know, I'm like, oh, that's cool, that's cool, that's cool, I'm like, good God, how many things can I look at every day? But I like that idea.
• Yeah, also, we do have some, a really cool offer for our listeners that check out the podcast. The weekly big cheese kind of evolved into this idea of the webinar, or the webinar.
• It's called a workshop, you fucking Gen Z prick.
• Workshop, we wanna work with you on a shop. We are introducing this new thing called Big Cheese Workshops. I'll let Brandon dive a little bit deeper into it, but these things are completely free and can add a ton of value to any organization, startup, mid-size, large company. Brandon, why don't you dive a little more into it, 'cause this is actually a really cool opportunity.
• So basically, the whole angle here is that our mission here is to really democratize AI, to get more companies leveraging it, realizing that it's not something to be afraid of, and that if you have a product, whether you wanna launch a new AI product or you have an AI product that you wanna go to market with, that we have three different workshops that we're offering for free. You do have to apply, just because we don't have all the time in the world to be able to do constantly free workshops. But that basically, we will help you, if you're an AI product that you need to launch and wanna go to market, we'll help you kind of lay out your high-level go-to-market strategy. If you're a company that wants to incorporate AI into your business, then we can help you kind of think through what does that actually look like. We can do some real proof of concepts where you can come out of that saying, okay, yeah, we know we can actually do this idea. So an example is one that we're working with right now, which is, we won't get into the detail, but they're basically being able to take recorded conversations and score them against a bunch of rules. So, for example, if you were a lawyer and you wanted to interview one of your customers, you could say, okay, here's the recording, how well did I do, and then give us feedback. So we go through and we actually, we come up with the actual proofs of concept that we prove out that it is, can you actually do this with AI or not? And then if you do, then we can actually implement that at scale. And so, yeah, if you go to bigcheese.ai/workshops, or just go to bigcheese.ai, you'll see the workshops in there. You can see the three different types that we offer, apply for it, and yeah, we'll do it.
• Everybody, this is the Big Cheese AI Podcast. I'm Andre Herakles, joined by Sean Hines, Jacob Wise, and Brandon Corbin. See you guys next week, and let's see what happens this year.