These AI Workflows 10x'd Our Productivity (Q&A Special)

We've been getting a ton of questions from you guys over on social media. You know, how does this all play out? What does this all look like in the future? That sort of concept came up over and over and over again.

I'm hoping in the future it's just simplified. Here's the one model.

We're going to answer a lot of your questions.

Hey, welcome to the Next Wave podcast. I'm Matt Wolf. I'm here with Nathan Lands. We're going to list out a ton of tools that we're using in our own businesses, the tools that we couldn't live without. We're going to talk about the future of work and what happens if AI takes all of our jobs. Where do we go from there? We're going to talk about large language models and what we see as the future of large language models and so much more. Get a notepad ready. We go into a lot of stuff. This is a fun episode, so let's just go ahead and get right into it.

So our first question is from Nahid AI. So he says, where do you think we will see the next best leap in AI agents?

You know, because we've heard about agents for so long, but, like, nothing's actually worked yet. Like, there was all the hype, you know, with Baby AGI and all those that came out and Auto GPT, what was it like? Almost like a year and a half ago now. And then really nothing happened. So I think that a lot of people were really disappointed that there was all that hype. But the, the rumor is that, you know, OpenAI has been telling their investors that the new 01 model, like, not the preview that's out right now, but the actual O1, that they're having some, like, pretty good results with agents. So, and so I think currently that's what I'm betting on is like, when, you know, if they're telling their investors that, like, usually you don't lie to investors, so if they're actually telling investors, that probably means it's at least working somewhat. So I think that's going to be the next step. It's probably not going to be amazing. You know, it's going to be, you know, like a lot of these things where sometimes they get overhyped, but at least if they're useful in some use cases, then you just kind of. It'll. It'll get better from there.

Yeah, yeah. Well, I know, like the rabbit R1, right, which was just like horribly reviewed by everybody who got their hands on it. Well, they just now started to roll out the large action model and supposedly it's pretty decent now. Like it can actually watch things on your screen. So you train it once on how to do something. Like you can train it on how to go buy something for me on Amazon. Once you've done it, once it sort of learns how to do that. And then next time you can say, hey, go buy me a, you know, new water bottle on Amazon or whatever. And it will go and actually go through all the steps. I actually have a rabbit. I haven't tried that yet, but I hear they're actually making some good strides there on the rabbit. But it's so hard to say. Like, I feel like everybody's vision of what an AI agent is going to be is like slightly different. Like, we've already got Perplexity, which is kind of like an AI agent where it will search out one query based on what it finds, search out another query, go, and possibly even a third query, and then present you with all the information that it came up with. Right, We've already got that. You can already create like semi AI agents with things like make.com and zapier. And there's a tool called Mind Studio and Agents AI, right, is the one from, from Dharmesh over at HubSpot. You've got all of these tools that are kind of agentic already, right. You're basically having the AI go and use this tool via an API and then you can connect all of these APIs and all of these AIs together and get what you're looking for. But they're still kind of like convoluted and complex and, and sort of tough to build. But I feel like AI agents is sort of like a tough thing to, to really predict where it's going to end up because everybody kind of needs them to do different things for them. Right. So I don't know if there's going to be, at least in the very, very near term, like a one size fits all AI agent where people are like, this is it. We got the agent that everybody was looking for. I think we're going to have like a whole bunch of little sparks of agents all over the place that all do little different things and we're probably still a little ways off before it's like a, a personal assistant where you can just tell it to do anything you want, you know?

Yeah. I mean, I think you're gonna see lots of different ones where it's just for like a specific use case. Like you just said. I saw a Tweet from Dan Shipper the other day where he's got something they're gonna be releasing, where it looks like it's an agent that, like, goes through all your emails and, like, responds the ones that are like, obviously just needed very simple responses, and you kind of programmed it what kind of simple responses are okay for it to give. And it also, like, you know, probably checks the ones that are spam and the ones that you don't need to respond to, the ones that are important and, and it summarizes all of it for you and helps take care of them. Like, yeah, I need that. So I, I, I can see that we're going already.

Or is that something that Dan's building?

Well, he showed a screenshot of it, like, basically like, that it's, it's working internally. And he, like, kind of said, like, something's coming soon. So. And, you know, I can imagine that with something like agent AI, what Dharmesh is doing, that that, that makes a lot of sense. And he'll probably have some kind of directory or, or something like this where it's like, here's an agent for your email. Here's an agent for, like, sales outreach, here's an agent for whatever.

But it probably is several years away before we have, like, an all one that does all of it. Like, maybe that's like five years away.

Yeah, yeah. I mean, I've already started building, like, little things like the email one. Like, you can use a tool like make.com and you can use folders or tags inside of Gmail and basically have make.com watch for anytime an email goes into a specific folder. And if you put an email in a specific folder, then make.com follows through on a set of actions for you. Right. So let's say, like, for example, you get an email that you're like, okay, this one is something I don't personally need to respond to. It's something that I respond to often. So I have sort of like a stock response that I send every time I can throw it into a folder that's like, use one of my stock responses. Right. And then make.com could look in that folder whenever a new email comes in, read the email, and then sort of decide how to reply based on, like, a handful of potential set responses. And it can save, like, a whole bunch of time with email. Right. So there's already, like, stuff like that that you can do. But I just feel like the definition of an AI agent, like, or what the expectation of an AI agent is, is sort of like a moving goalpost. Right. It's like AGI, like, nobody sort of agrees on what AGI is. Well, an agent, like the agent that I want to help me in my business, is probably a little bit different than the agent you want to help you in your business. It's probably a little bit different than the agent that, you know, an airline pilot wants for their career. Right. Like, everybody wants slightly different things, and I think it's the nuance that makes it sort of complicated right now.

Yeah, I think OpenAI said that level three, they're trying to have, like, different levels of AGI because, yeah, like, defining AGI is actually quite hard. Like, everyone has different ideas of what it means. I think they put level three as agents, and level two is reasoning. And that makes sense because, like, that's the reason the agents didn't work is because the agents require some level of reasoning. You know, you give them some kind of task, they go off and get confused. Like baby AGI and the other ones got confused, and so they had to have some kind of reasoning to actually get past that confusion and figure out what to do next. So if they have nailed reasoning with 01, if they really have, then I think we will start to see some really cool, useful agents, ones that actually go off and do stuff for you.

So the next one is from the Jacob Gooden. He's actually a buddy of mine. He used to be the producer of my old show, Hustle and Flowchart. Still is the producer of Hustle and Flowchart. Just. I'm not on that show anymore. But he asked a good question here. What is your Go to AI tool? The thing you use every day and would miss it if it went away tomorrow.

Yeah. So mine has become. I know, I know. Yours is probably Perplexity is that mine would be two.

Like, I think there's two, right? Perplexity and Claude. Those are the two that I use, like, every single day.

Yeah. So mine has become the Chat PT voice or whatever. Whatever they're calling. I'm just gonna call it chatgpt Voice. I know they've got different names for all their stuff, but I. I'm still finding a ton of value out of that. Like. Like talking to it every single day. I use it for personal stuff, like, what am I doing today? What's my schedule? Or. Or just things I'm thinking through to take notes. I use it like that in the morning. I've been using it to help translate with my wife. And also my son has a ton of fun Using it, it's been like a really cool way to explain AI to him and show him what's possible. And, and also Perplexity. I've been, I've been using Perplexity more and more. Like as I, I set it to my, my default search engine in my browser and so when I type in something in the browser now it just pops up in perplexity. And 90% of the time I'm finding that that's better than the Google results, honestly.

Yeah.

And then also they just keep, they keep releasing, you know, they're, they're releasing new things so fast too. Like people will suggest things on Twitter and then Aravind the CEO will see it and respond to it and say cool idea or whatever. And then like a week later you'll see him like post a screenshot or a link to the thing. Right?

Like, yeah, I mean going back to the original question, I think yeah, for me it's, it's perplexity and clot. I mean perplexity for all the reasons you just mentioned. I love it for research, right. I love going in there and saying hey, I'm trying to deep dive on this topic. What can you find for me? And then it's really good at suggesting follow up questions too. Right. Like it even kind of takes the thinking out of well what should I ask next to learn more about this? Because it gives you like five potential questions to ask next. So I really like just sort of going down a perplexity rabbit hole and I like, I use perplexity all the time like constantly to sort of research topics. And then Claude really, really helps me dial in my videos. Right. Especially the short form videos. Notebook LM has been really, really cool. I love plugging in stuff into that and like listening to a podcast back about a topic. But yeah, if I had to, if there was one tool that was like if this was gone tomorrow, I'd be really, really bummed out. It'd probably be perplexity would be first place, Claude would be second place. The other day I used ChatGPT to sort through the latest AI news and tell me what order to talk about them in my YouTube videos. And I was honestly surprised at how spot on it was. One of the biggest tips I give to people still building their confidence with ChatGPT is simple. Just start throwing prompts in and see what it can do. Now to help you get rolling, HubSpot put together a free guide with over 100 prompts you can start messing with right now. Trust me, it's Going to help you unlock some serious potential. You can grab it in the link below. Now back to the show.

Yeah, I finally tried Notebook LM with my son over the weekend too. So we tried Replit and then we tried NotebookLM. Same thing where we were using ChatGPT voice, like chatting with it, getting ideas, and then just typing it right into notebooklm.

Have you ever. There was a video going around. I don't know if it was on Twitter or something, but there was a video going around where somebody made a text file and they just put the word poop into it like 2000 times. And then they uploaded it into Notebook LM and like they made a whole 10 minute podcast about the document that just had the word poop posted into it like 10,000 times. Right. And they're just like, you know, we've talked about a lot of things on this podcast, a lot of really interesting things, a lot of not interesting things. And today I think we've got the most interesting document we've ever seen. This document is just the word poop over and over and over again.

You know, it sounds ridiculous, but, like, me and my son had so much fun with it. Like, so much fun. It's like, God, that's like, you know, we've talked about like, generative entertainment and stuff in the past, in past episodes that's like. But that's like a. That's like one of the first examples of like, generative entertainment, right? Where it's like, yeah, in the future you're going to have more and more stuff like this where you just like generate the stuff that you enjoy, you know, because everyone's different. And like, there's stuff that, that I find funny that other people are like, God, that's stupid.

Yeah. All right, so moving over to Twitter, Slash X now, Railya says, have you found any tools that are great for coming up with YouTube video ideas, slash titles? I know a couple of tools. Vidiq Spotter Studio creator ML would be curious to know what else you have played with and what is working well. So I feel like this question is probably directed at me, but I mostly still use Claude for a lot of this stuff. I do have a Vidiq account. I do have a Spotter account. I do have a TubeBuddy account. I have like all of those tools, but most of those are like, I use Spotter to help me come up with thumbnail ideas mostly. Right. I use tubebuddy and Vidiq more for like, data analysis and to watch the stats and to see and to like test thumbnails and things like that. I still use Claude to help me come up with thumbnails or with titles and like hooks and stuff like that, right? Like, I'll. I'll go to Claude and say, hey, I want to make a video about X, Y and Z. Help me come up with a good title for this video. Or what I do a lot of times now is I'll record the whole video, get the transcript from the video, throw it in the Claude and say, here's a transcript from a video I recently made. Help me come up with a title for it, right? So I still kind of use the bare bones tools that aren't actually designed for YouTube because a lot of these tools that were designed for YouTube are just using things like OpenAI or Claude or Llama or one of these models underneath. Anyway, so I'm just sort of like skipping the middleman, honestly.

But like Vidiq, you would use it mainly for, like, stats on videos and things like that.

So Vidiq I mostly use because they've got like a really nice, like, sidebar that automatically shows up on YouTube and it'll show you if, like, thumbnails have been recently changed or titles have been recently changed. So it's more to like, analyze other videos on other channels than it is for, like, my own channel, honestly. I can go look at other videos and see how well they're performing compared to, like, their normal videos. It also puts like a little like a multiplier below the video. So it'll say, this video is performing at like 1.5x the normal video on this channel. This video is performing at 50x the normal video. This, this video is performing at 0.5x like it's underperforming for this channel. So I use it a lot like that to see what types of videos and titles and thumbnail combinations are working for other people. Just to, you know, kind of get ideas and stay looped in. I don't really copy other people's ideas, but I like. It's more keeping my finger on the Pulse saying that TubeBuddy is an AI first company. Like, they're actually. They actually got purchased by a company called Ben Labs. And Ben Labs was a giant, like, AI research company. So like, TubeBuddy is sort of like built around AI these days. But yeah, I don't really know the history too much of Vid IQ or anything like that. And Spotter actually is really, really good at generating thumbnail concepts. You can give it an idea for a video and it'll use. I don't know what AI models are using under the hood, but it will generate, like, thumbnails based on what your channel thumbnails normally look like. So I will go and I will give it an idea for a video. It'll make a thumbnail that looks similar to, like, my most popular thumbnails, but with, like, new elements in it. So it actually is sort of trained in on my existing thumbnails on my channel. Like, it even tries to make like a sort of face that looks like mine. Not really good, but it'll make a. Like a. A bearded man that looks somewhat close to me in the thumbnail. Just to give you the concept, you know?

Right, that's cool. Are you actually using that, the spotter, or is that just giving you ideas? That's so cool.

Yeah, well, I don't actually take the thumbnail straight from spotter. In fact, the thumbnail that it generates for you, it actually has text on it that says, like, generated with AI. Right. So, like, I can't just take the thumbnail straight from spotter and upload it to YouTube. But it'll give you a concept, and I can take that concept and use it as like an image to image inside of stable diffusion and have stable diffusion generate something that looks similar. Or what I've done, if I really, really like the thumbnail it generated for me, is I take the thumbnail it generated, pull it into Photoshop, put a little square around the area where it says generated with AI, and then use generative fill to just remove it.

So we just discovered a business idea. For anyone listening.

You literally could just go copy spotter and not say made with AI and have a business right there.

So, yeah, maybe they have some. They have some, like, proprietary stuff behind the scenes to like, actually learn on your channel and stuff like that.

So, yeah, not that simple, but if. Yeah, someone's smart.

Yeah, yeah, yeah, for sure. Let's see. Coal Mine Canary says you should address the topic of there being too many AI tools and people's inability to afford them. It's going to be a problem. Now, that specific question kind of concept came up a lot on my this, like, Twitter thread. So when I asked you to ask these questions, the thought of there's way too many tools, they all want, like a monthly fee to use them. You know, how does this all play out? Like, what does this all look like in the future? That sort of concept came up over and over and over again. And I personally think it's a problem. Right. Like, as the guy who runs future tools where people are like, submitting tools to me every day and I'm seeing like a hundred new tools every day. I only approve like 1% of the tools these days that get submitted to me because so many of them do the exact same thing and so many of them just feel like cheap, low effort, money grabs, right. People will go and go, oh, I can use the Flux, you know, Flux Pro API.

Cool.

I'm gonna go make an AI image generator and charge 20 bucks a month for it. And all they're doing is putting a wrapper around the Flux API. And I just see so much of that and it's just low quality and it's junk. Right. So curious, what are your thoughts about the, like, oversaturation issue?

Yeah, I mean, I guess I have a lot of thoughts. I mean, it feels like right now we're in, like this exploratory phase where it's good that that's happening because people are out there trying all these things. So we get to explore all the possibilities before we sit, you know, before things stable, stabilized. And it's like, oh, here are like the five things that everyone uses. Right. Because over time that probably will happen. Like, you know, people say they hate monopolies, but that's one of the benefits of Monopoly. You'll have less. You'll have more things baked into one product over time, and then you'll pay like one fee for that. And I think we will have that. Like, I think in like three years from now, you'll probably have like five things that people pay for. And most people will probably pay for one or two things would be my guess.

Yeah, or you don't pay for any of them and they're ad supported, right?

Yeah. But you know, there's something else, though, that I've been thinking about recently because there's been whispers that.

The models from OpenAI in the future, the ones that are going to be supposedly amazing and people are going to think it's AGI.

Why do people assume that that's going to be $25 a month or whatever?

And they may not be. Some of these future models may be very expensive. We may start to have a divide there where it's like, yeah, there's like the 25 model and you're getting what you get now, or you pay like a thousand or ten thousand a month and you get access to AGI and because it may cost a lot to run these future models and they may be absolutely amazing and very expensive to run. And so that's Kind of, that's where I'm actually kind of concerned.

If you pay 10,000amonth for AGI, can I go tell my AGI to go make me a business that makes more than 10,000amonth?

Well, yeah, but that's the thing is like, yeah, this may literally, you know, because, because we've, I think we've talked a little bit in the past about like, AI could help, you know, because right now there's huge wealth disparity all around the world. Right? Like, and.

In theory AI could help with that by like giving everyone more opportunities and things like that. But also we could end up in a situation where only some people can afford the AI and everybody who can afford it and use it well, they get way ahead of everyone else. Right? Because like, yeah, if you can pay $10,000 a month to use the, the newest open AI model, and it's basically like hiring 20 employees or something. Not saying that's going to happen now, but like, let's say in three years or something, that could really change your life. Like, and like, and people who can't afford that, that's, it's not gonna be great for them. So I, I, I do, I do wonder about that. Like, I think people are not thinking about that yet. About, yeah, these things cost a lot right now, but they may cost a lot more in the future.

I could see it going either direction, honestly, because I do know, like, they're going to continue the work to get the cost of compute down as well. Right. I think, you know, as, as it gets more and more intelligent is going to require more compute power. But at the same time, everybody's trying to lower the cost of compute. Right. Like Nvidia is trying to make their chips more affordable to build and more efficient and, and all that stuff.

And Micro, Microsoft and others also, I think they're starting to invest into nuclear as well. So like, we're more energy as well and like cleaner energy. So I think that's gonna be one of the good things is like, yeah, we're gonna have probably cleaner energy all around and more energy. So that's a good thing. Yeah, I'm not trying to make it negative, but that, that is kind of like what's been in the back of my mind recently. Like, oh yeah, maybe these really will require like, you may have to pay like a thousand to $10,000 a month for like the best models.

Yeah, I don't know. I mean, personally, I think AGI is probably a little bit farther out than like three years, but I Don't know, maybe I'm being pessimistic. I think with like the tool like sort of overload concept, the saturation of just too many tools, too many monthly payments, I do think that's an issue right now. But I also do think there will be like a consolidation like you mentioned. I think a lot of people are going to be using the Googles, the Microsoft's, the, you know, maybe OpenAI, maybe Anthropic, maybe some of these other companies all just have like a single platform where you can generate your images, generate your videos, generate your text, you know, have this sort of agentic features and you pay the one service and it could kind of do it all. I think that's eventually where it's going to get in the near term.

But right now I do think it's a problem. I think, I also think there's a lot of people out there that are just absolutely delusional with like their product ideas. I think so many people are going out there and going, hey look, I just created a, an AI tool that can write children's books for you. It's 50 bucks a month, right? But then like somebody will go use it once and be like, cool, I made it. Okay, children's book, that's nothing special. Why am I going to keep paying monthly for that? Right? Like I see all the time on the Future Tools website, people send to me like a tattoo generator for 10 bucks a month. Who wants to pay 10 bucks a month for an AI tattoo generator? @ the very least I'm going to pay once, get my tattoo idea generated, go get my tattoo and then I don't need you anymore. Like I think there's so many people that are just delusional with the products they put out there, thinking that there's an actual business model behind them. But really it's just like a. This is a cool feature that I'm trying to make money off of quick. Why while AI is hot and in the news, but it's not a good.

Product. Yeah, I mean in the non AI world right now like the trend is to have stuff where you like pay for software once or that's like kind of a movement happening right now. You pay for it once and then you own it forever. Yeah, but with AI you can't do that. So that is the problem. Right? Like these things do cost money to run the models. It's not cheap and so you kind of have to charge like that. So there is an issue where a lot of these products where they're charging the value is not there yet. And you know, I think it's coming sooner than it sounds like you do. But, but as of right now, a lot of these products, yeah, you pay like 25 to 50 bucks a month and most of them are not worth it.

Really. Well, I also think there's probably a future and I don't know how far off I am on this future. Like, I don't know if it's within three years, within 10 years, within 20 years. But I do think there's a future where like most people have like a supercomputer in their home, right? So like, like an on device AI that's doing all of this stuff for them, but it's in their house so they don't actually have to send it off to a data center or Cloud GPUs or whatever. Right. Like, I think a lot of. I think that will happen as well. I think, I think there's like a big future in on device inference for running the AIs locally. Right. Like if we're going to have our own Jarvis, right, that's cleaning our house and doing our dishes and doing our laundry and vacuuming our floors and you know, does everything for us on a daily basis, I have a really hard time seeing that all be in the cloud, right. What happens if that cloud service goes down for the day? All right, Everything I do with my life I can't do today because that, that service is down. What happens if, like there's Internet outages? Okay. Now I can't actually run all of this stuff that I've been running in my life because I can't contact Google services, you know, servers today. Right. So I do think that there's probably also a future where it might only be for the wealthy. I don't know. But I do think people are going to have like supercomputers in their home that can like run these massive AI systems at some.

Point. Yeah, I was thinking about that. You're talking about Jarvis, but like, yeah, he. Tony Stark's supposed to be a billionaire, right? In the.

Stories. Yeah.

Exactly. So maybe, you know, it is the billionaires who have the local models because I mean, in the future that could happen, but it feels like for a long time you're going to need a lot of compute to make these models really useful. And so obviously the ones in the cloud where they're benefiting from the large scale of all the servers being one place and remotely, that's gonna always be way better for. At least for a.

While. Yeah, well, I Mean, I think the training can happen remotely, but the inference would happen locally. Right. So yeah, you know, the, the, the, the. When they actually like train in Open A. I know you know this, I'm just more saying this for like the audience. Right. But like when they train these big models, like the newest version of, of like Claude, the newest version of Chat GPT, things like that, a lot of times it takes like millions of dollars and months and months and months and months to train a new model. Right. I don't think we're very close to doing that at home. But the inference part, the part where we ask it the question, it sort of queries the database and then responds to you. That's a lot less compute, intense. So I.

Think. Well, I'm not sure. So like, based on what OpenAI is saying about the O1 model, it seems like it's going to be more and more intensive on the inference side. So if that is how they start scaling things up and if, let's say the anthropic, I assume maybe anthropic is going the same route, maybe they're like a few months behind OpenAI or whatever, we're probably going to see all these guys like go into the, you know, we're basically, inference is going to be more and more important. Like, and so I don't know, I'm not sure. Like, I think inference is going to be one of the ways that this all scales because, like the logic side is what's been missing and so it seems like that's where they're all going to be focusing.

On. Yeah, yeah, but I mean, I still think that the inference side, it's going to like, the stuff that OpenAI is talking about is more for like the really sort of complex mathematical stuff in the current state. I don't really think, I don't know how to word this, but I don't really think that like making it take a lot longer on the inference side is what people are going to want. So I don't like, I think they're going to have to figure out how to like really, really shrink that time down. So when you give it a task, you get the response quickly. Right. I think slowing it down is cool if I need to like analyze a complex math problem or write some code for me or something like that. But if I need to just like get a response really quickly on the best ice cream shop near me, I don't want it to like analyze for 15 minutes before it gives me a.

Response. Yeah, yeah, but that's where that's, that's where you would scale up compute. So if you scale up compute, you could do that faster. Like, so I think those systems, like, they'll, they'll want that to be fast. They know that that's not usable for regular people, like waiting, you know, 20 seconds or a minute or whatever. Like, people are going to expect these things are happening almost.

Instantly. Yeah, yeah, yeah. We're getting very theoretical here. Let's see. All right, so Rumble Pack News says, how will AI change content creation? Like being a YouTuber? Will AI replace YouTubers? I personally think that as AI gets more and more prolific and more and more people use AI and turn to AI to get responses to their questions and to learn about things. I also think simultaneously being a real human that people actually, like, relate to and know is a real human with real human thoughts is also going to become more important at the same time. Right? Because I think the lines are going to get blurred really, really quickly between what content was actually generated by AI and what content wasn't. I mean, when it comes to, like, written content, those lines are already blurred. It's already, like, nearly impossible to tell whether an article was completely written by AI or completely written by a human or some sort of hybrid of the. Of the two. Right. And I think you're going to see that happen more and more with video and audio and things like that as well. And as those lines blur, I think people like us who are actually putting our face out there, our voice out there, our opinions, our predictions, those kinds of things, I think there's going to be value in that. In a world where people are having a hard time telling the difference between reality and not.

Reality. You know, we've already seen this a little bit, like, with, like, VTubers, you know, where they have these, like, virtual avatars that. And they talk and they're like, cute, and people watch them on Twitter, twitch and things like that. And that's kind of like a niche where I feel like probably AI videos may be similar, where people are going to think that's cool and some people are going to be into it and you'll see some really crazy stuff with it, because you can basically take VTubers to the next level where, like, there's all this interactive stuff going on. That'll be fun, but I think I'll just be like a niche. But. And I think like you said, more and more people are going to want some kind of human connection and to feel like they have a relationship with this person, that they're watching and that they're learning from or that they're enjoying their content. So I don't think, if anything, I think actually maybe youtubers and having a personality in anything you do in business is going to be more and more important in the future. I mean, because like, I do believe we're heading to the point where you can spin up a company and maybe you do pay the $10,000 AI model and you're saying, hey, I'm going to, I'm going to copy so and so's company and I'm going to throw these resources at it and try to beat them. You're going to see tons of this business is going to get more and more cutthroat. And so because of that, having some kind of personality that people actually care about, that's where you could have some more loyalty. That people are like, oh, I like Matt, I like Nathan, I like, you know, HubSpot, whoever. Right. I think that can be more and more important over time. So if anything else, if anything, I would be doubling down on making sure you have a personality in the work that you.

Do. Yeah, yeah. And I think, you know, the types of channels that might struggle are more of like the faceless channels that are creating like informational content that just have a voiceover and nothing else. I think that kind of content is probably become more and more of a struggle mostly because I think it's going to get way oversaturated as AI as you know, we're going to get to a point where you can just say, generate me a video on how quantum computing works and it's going to spit out a 15 minute video with a voiceover, with background music, with sound effects, with B roll. And that video is going to explain, you know, how quantum computing works. And you're going to be able to put that on YouTube. And if you're like the first few people that do it, you'll probably do pretty well. But over time, A, I can generate that myself. I don't need to go to YouTube and find somebody to generate that for me and then publish it to YouTube. But B, you're going to see YouTube just get so oversaturated with that kind of content. Content that was just like somebody entered a prompt, took the output, uploaded to YouTube. Right. There's going to be a phase where that is happening a lot. Like I'm predicting that right now. Give it like a year and a half, we're going to see so much just trash. I mean, it'll be good value content, but It'll be so low effort that there's going to be so much of it. And that, I think, is what worries me about YouTube. But I also feel that's where the potential is if you want to be a YouTuber, because being that real person that people can see and relate to becomes more valuable. There'll be a window where I don't think people will realize that it's AI generated.

Right? Yeah. Like. Like on Facebook. You see it, right?

Facebook. Facebook's the exact example I was thinking.

Of. Yeah, yeah, yeah. On Facebook, you see the older people, the boomers or whatever, where they're like, oh, my God, that's so cute. Like, people are posting, like, obviously fake photos of whatever I saw. It was like a. A cat snowman. It was like a snowman. It was bait, and it looked like a cat. It was a snowman. And they were like, you're amazing. I can't believe how talented you.

Are.

So cyber. Cyber Go says, do you feel that there's a disconnect between creators in the AI field and the general public? Are we, as creators, sometimes too disconnected from the ethical or social issues that this technology brings? And the reason I like this question is because, personally, I don't feel disconnected from those concerns at all. Like, I. I sort of live in both bubbles. Like, I live in the AI creator bubble of everybody making the videos in the images and, you know, using all the large language models to create cool content. But I also follow a ton of people that are, like, against AI, not the people that are, like, you know, responding to my tweets with, like, screw you, AI sucks. Right? But the people that are actually out there, like, bringing up really, you know, good arguments against AI, right? There are people out there that are doing it in a way where they're not just saying, oh, you like AI? Well, screw you, I hate you, and I'm just gonna, like, cuss at you every time you tweet. There are people out there that are like, I see your points. Here's my counterpoints, right? And they actually want to healthily debate people who agree with AI. And I follow a lot of those types of people as well. So, like, in a lot of my content that I put on YouTube, I like to look at it from both sides of the coin, right? Like, when I'm talking about a new AI video model, I will always kind of talk about this is why I think this is really, really cool. But also, here's some of the issues I see with this as well, right? Like, when it comes to you know, tools like Mid journey and stable diffusion and some of those kinds of things. I think it's really, really, really cool technology. I think it generates some amazing images and it opens up the floodgates for anybody to be creative and to, you know, bring into this world anything that they can imagine. And I think that's super amazing, super empowering. But at the same time, I also think, yeah, but they scraped, you know, millions of other people's images to train this data set, and those people didn't get compensated. And I can go to some of these tools and say, generate an image that looks like a Banksy. I don't know. I couldn't think of a better artist in the moment, but, you know, generate an image that looks like this artist, and it generates an image that looks just like the work that that artist would have created. And I do think that, like, the ethics of that sort of bother me. Right. So I'm constantly trying to look at things from both angles. I tend to live on the side of technology is going to progress, whether you people over here like it or not. So I'm going to learn about it and I'm going to live with it and I'm going to use it and I'm going to try to implement it in my various workflows. But that doesn't mean I'm not sensitive to the implications on the other side of the coin with it. I just don't think that there's a sort of, you know, rewind button. I don't think there's any going back on this now. And so, like, if I was in that position of, I don't like this, so I'm not going to use it. I feel like I'm putting myself in this, like, helpless position of. Of, like, I'm gonna try to stop this from ever happening, but the strength that I have is not enough to stop this moving train. It's just gonna plow right through me. So I tend to operate on the other side of the train. I'm gonna ride the train instead of standing on the track, trying to put my hands in front of it and stop it, you.

Know? Yeah, I mean, I think we feel pretty similarly about it. I mean, I. Yeah, I kind of consider my per. Myself like a, you know, effective accelerationist. You know. You know, definitely a techno optimist, but some of sometimes those people get a little too crazy, like, accelerate everything, don't care about any of the consequences. I definitely. I don't really feel like I'm in that camp, but I Do. I mean, I. I personally feel that AI is going to make the world way better, but at the same. And I think a lot of people have actually not properly thought that through, like what AI will enable for us in the future in terms of robotics, in terms of scientific breakthroughs, all kinds of different parts of life that I think AI is going to make better for us. But there are going to be some major issues. The main thing I think about is not really the AI art stuff. I understand that argument too, but I don't find as much interest in thinking about that. I think more about the job displacement, I think, really is the thing I think more about. Actually. I did a speech talking about something similar to this at Stanford several years back, talking about, you know, how I grew up in a small town in Alabama. And yeah, I love technology, and technology usually makes things better. But in my small town, Alabama, like, as soon as, like, all the factories were gone, they went other places, you know, life changed dramatically. And this, this happens throughout history and it's like, it's the. The adjustment is hard for people, and it does. It does have material impact on people's lives. So I do. I do feel a lot of sympathy for that and I do think major changes are happening. You know, in. In my newsletter, like on lore.com. that's what I try to talk about a lot is like, how can I help people thrive in the age of AI? Because that's all you can do. Like, you be as positive about this as you can and try to figure out how you're gonna, you know, ride this wave.

Because there's no stopping it. Like, there's no way. It doesn't matter if you're on the left, right, whatever. No politicians, if they're smart, are going to be against this because it is what's going to help America be a leader in the future. Economy. You know, just like how we were the winners in the Internet and that enabled our entire economy to continue growing like it has. And the same with entertainment and weapons and other things in the past. Computers, everything else. It's the same thing with AI. Like, we have to win at this. So there's no, you know, no matter what anyone feels about it, there's no, there's not going to be stopping AI. It's going to continue getting better. And so, yeah, so I do think a lot about job displacement, and I don't think we have great answers to that. Like, there's going to be a lot of new opportunities, but there are going to be major job losses. Like.

Major. So, yeah, I tend to be optimistic about the abilities of humans and their ingenuity and their ability to figure out, you know, what value they can bring next. You know, maybe the value isn't being the guy that enters data into a spreadsheet and files your taxes for you. Maybe the value isn't the guy that, you know, goes through all of this previous case law for you and, you know, helps you fight an argument in court. Maybe some of that kind of stuff goes away. But I do think humans will find new ways to add value to the world. I mean, the, the, the, the people who sold ice blocks hated it when the refrigerator came out. Right? The people who, the people who were painters hated it when cameras came out. The people who were hardcore enthusiasts of photographers hated it when Photoshop came out. Anybody can manipulate photos. Like, this story is a tale as old as time. But humans have always continued to figure out how to thrive and figure out how to, like, move to the next thing. And they've always figured out how to create new value in the world when the old way they created value ceased to be a way to create value. And I think it's going to continue that way. And I choose to be optimistic about that because I don't see the value in being pessimistic and feeling like, oh, no, the sky is falling, we're all doomed. Like, right. You can choose which side you want to think, which side you want to put your brain energy towards, and I'm going to put it towards the optimistic side because the other side just feels like hell to.

Me. Right, right. And I do feel like the AI may actually help here too. Right. People not realizing it, but, like, I imagine, like, yeah, in the future and someone's gonna be like, oh, my God, yeah, yeah, it's gonna help. It took my job and then it's gonna help me. But there probably will be scenarios where, like, people lose their jobs and have to rethink their lives, and then they're like. And then AI is way better than they're like, literally chatting with AI and the AI, like, okay, you're good at this kind of stuff. You're not good at this. It kind of like, actually learns about what you're actually good at because everyone has different kinds of things they're good at. Right. And it actually learns what you're good at, and it helps you put together a plan of what you should do next. I think that kind of stuff is going to happen where people start entirely new careers, new side businesses, whatever, just because the AI helped coach them to do it and then probably had AI agents to help them even execute on some of the.

Work.

Right. So I think you're going to see a lot of that where people before who could not do a business, maybe because all the legal stuff was annoying or accounting or whatever stuff that they were not interested in. Now AI is going to help them do that. So I think you're going to see a lot of new opportunities for people as.

Well. Yeah. If you lose your job, here's. Here's the game.

Plan. Just talk to.

Chad. No, here's the game plan. If you lose your job, take your entire life savings, take out a second on your house or use credit cards or whatever, Go buy as many cyber robo taxis as you can from Tesla and then just rent them all out. And then you get income from these taxis just driving people around. There you go. All you got to do. Yeah, yeah. The value that people add to the world may just be the ownership. I am, I am.

Joking. But, you know, say, get Nvidia stock. I thought you were going to.

Get. Just invest in Nvidia right now.

And, yeah, sell everything you've.

Got. But, like, quite honestly, like, you know, joking aside, I do think, like, people like Elon love him or hate him, I know a lot of people hate him. Some people are probably going to say, I'm never going to tune into this podcast again because Matt mentioned Elon. I've gotten those kind of comments on my YouTube videos. But love him or hate him, he is trying to create additional revenue streams that don't require labor. Like, if you look at what they're doing with the robo cab, he's basically saying, and I think his numbers and his timelines are way off because they almost always are with Elon. But he's basically saying, you can go buy one of these robo cabs for $30,000. It will take you around wherever you need it to take you around. And when you're not using it, it will autonomously go and tax the other people around and you get some of the revenue from that. Right. So, like, I think maybe in the future, like, that's the kind of revenue streams people are going to be generating now. Probably not the best example, because you've already got. You've got to be able to afford one of those to sort of get your feet in the door on something like that. But I do think, like, new revenue generation models are going to pop up. Like, ignore the robocab thing. I think new revenue generation models that people haven't even thought of yet are going to pop up and replace some of the more laborious tasks. Right. Whether it be, you know, the blue collar mining will be done by robots or the, you know, Excel spreadsheet accountant type stuff is going to be done by, you know, AIs. Right. I think a lot of that stuff's going to get replaced, but new stuff will bubble up that is going to allow you to provide value to the.

World. Yeah. And on the other side too, a lot of the stuff he's building will result in abundance. And the entire idea of like, our economy is driven, like, based on like abundance, scarcity. Like what's, you know, supply and demand. Like if there's, if it's, if it's cheaper to produce things, the costs will go down. And so over time, the cost of living will actually go down because of these inventions. And people are not realizing that, like when you have robots out there building all this stuff for us and it's cheap to make them, the cost of everything is going to go.

Down. Awesome. Well, I do think that's probably a good place to wrap this one up. I think, you know, we went off on some tangents and some rants and went sort of deep and theoretical with a lot of these questions. So we actually only got through maybe like 25% of the questions that were asked. But we are going to save this thread. We are going to do more of these, like, ask us anything kind of episodes in the future. They're a lot of fun. We love just sort of riffing on whatever anybody wants us to talk about. We like. For me, I know that's like one of my sweet spots. I love not knowing where the conversation is going to go. So that's a lot of fun. We are going to save any of the questions that we missed and circle back around to some of our favorites in a future episode. So thank you so much to everybody who did ask your questions. Over on x, over on LinkedIn, over on Threads, we will be doing more of these. We really, really appreciate you. But that being said, I think this is a wrap on this episode. So thank you so much for tuning into this one. If you enjoyed this episode, make sure you subscribe to us. Either subscribe over on YouTube if you want all the visuals and you want to look at me and Nathan's beautiful faces as we talk about this stuff. If you really, really don't like looking at our faces, go subscribe wherever you subscribe to podcasts. We're on Spotify, Apple, all the places. Come tune in and subscribe wherever you listen to podcasts. And thanks again for tuning.

In. Thank you all.