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 gonna answer a lot of your questions. Hey, welcome to The Next Wave Podcast. I'm Matt Wolfe. I'm here with Nathan Lands. In this episode, we're gonna answer a lot of your questions. And we deep dive into some
really fun topics. We're gonna 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 gonna talk about large language models and what we see as the future of large language models. And so much more. Get a note pad ready. We go into a lot of stuff. This is a fun episode. So let's just go ahead and get right into it. With smaller budgets and sky high expectations,
growth is feeling pretty painful right now. But HubSpot just announced more than 200 major product updates to make impossible growth feel impossibly easy. Like Breeze, a suite of new AI power tools that help you say goodbye to busy work and hello to better work. So our first question is from nothead.ai. So he says, where do you think we will see the next best leap in AI agents?
Yeah, because we've heard about agents for so long. We're like nothing's actually worked. Yeah, 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? And then really nothing happened. So I think a lot of people were really disappointed that there was all that hype.
But 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 01 that they're having some like pretty good results with agents. 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.
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. It's going to be 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 get better from there. 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 new water bottle on Amazon or whatever.
And it will go in 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.
We've already got for complexity, 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 mine studio and agents.ai right is the one from
our mesh 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 a eyes together and get what you're looking for.
And there's still kind of like convoluted and complex and sort of tough to build, but I feel like AI agents is sort of like a tough thing 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 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 AI 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 I'll do little different things and we're probably still a little ways off before it's like a.
A personal assistant where you can tell it to do anything you want you know yeah I think you're going to see lots of different ones where it's just for like a specific use case like you just said I saw a tweet from a dancipper the day where he's got something they're going to be releasing.
Where it looks like it's an agent that like goes through all your emails and like response the ones 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 probably checks ones that are spam and the ones you don't need to respond to the ones are important and it summarizes all of it.
For you and helps take care of them like so I can see there was already or is that something that Dan's building I will he showed a screenshot of it like basically like that it's it's working internally and he'd like kind of said like something's coming soon so and you know I can imagine that was something like agent that AI what
Garmesh is doing that that makes a lot of sense and I have some kind of directory 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's probably yeah it's probably 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 dot com and you can use folders or tags inside of Gmail and basically have make dot com watch for any time an email goes into a specific folder and if you put an email in a specific folder then make dot 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 is 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 dot 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 it's sort of a moving goal post right it's like a GI 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 pretty good.
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.
I think opening I said that level three they're showing like different levels of AGI because yeah like defining AGI is actually quite hard like everyone has different ideas what it means I think they put level three as agents and level two is reasoning and that makes sense because like that that's a reason the agents didn't work is because agents require some level of reasoning you know you you give them some kind of past they go off and get confused like maybe I die and the other ones got confused and so they have some kind of reasoning to actually pass that confusion and figure out what to do next so if they have nailed reasoning with oh one 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 for sure so the next one is from the Jacob good in. He's actually a buddy of mine. He used to be the producer of my old show hustling flow chart still is the producer of hustle and flow chart 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 yours is probably perplexity is it is that mine would be to like I think there's two. Those are the two that I use like every single day.
Yeah so mine has become the chat's BT voice or whatever whatever they're calling I'm just going to call it chat's BT voice I know they've got different names for all their stuff but I'm still finding a ton of value of that 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'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 using perplexity more and more like as I said 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 a flexi in 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 releasing new things so fast they're like people will suggest things on Twitter and then air then 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.
Yeah for me it's it's perplexity and caught 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 to right like they 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 and stuff into that and like listening to a podcast back about a topic but yeah if I had to it if there was one tool that was like if this was gone tomorrow I'd be really really bummed out it probably be perplexity would be first place Claude would be second place yeah I finally tried a notebook LM with my son over the weekend to so we tried replant and we tried no book LM same thing we're using chat GPT voice like chatting with it getting ideas and then just typing it right into
no book LM there was a video going around I don't know if it was on Twitter or something but there's 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 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 and it's like God that's like you know we've talked about like generative entertainment and stuff in the past and past episodes and it's like but that's like 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 and you're going to get the stuff that you enjoy you know because everyone's different and like there's stuff that I find funny that people are like God that stupid. Like yeah all right so moving over to Twitter slash X now rail yeah says have you found any tools that are great for coming up with
YouTube video ideas slash titles. I know a couple of tools that IQ spotter studio creator ML would be curious to know what else you have played is working well so I feel like this question is probably directed at me but I mostly still use cloud 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
to watch the stats and to see it and to like test thumbnails and things like that I still use cloud to help me come up with thumbnails or with titles and like hooks and stuff like that right like I'll go to cloud 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
and I'll throw it into cloud 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 are actually designed for YouTube because a lot of these tools that were designed for YouTube are just using things like open AI or cloud or Lama or one of these models underneath anyway so I'm just sort of like skipping the middle man honestly.
I want to take a break real quick to tell you about a podcast that I really think you should be paying attention to it's called the hustle daily show hosted by Juliet Bennett Ryle Rob Litterist Ben Berkeley and Mark Dent and it's brought to you by the HubSpot Network the audio destination for business professionals hustle daily show brings you a healthy dose of a
reverent offbeat and informative takes on business and tech news in fact they recently did an episode all about how meta is winning the game in the wearables race and I just got back from Meta Connect so that one was super relevant to me and I really really think you're going to love these episodes so make sure you check out the hustle daily show wherever you listen to podcasts. But like me not you would use it mainly for like stats on videos and things like.
I mostly use because they've got like a really nice like side bar 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 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 1.5 x the normal video on this channel this video is performing it 50 x the normal video this video is performing at 0.5 x 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 is more keeping my finger on the
pulse saying that to buddy 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 to buddy is sort of like built around AI these days but yeah I don't really know the history
too much of it 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 will 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 will 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 up like 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 is giving you ideas that's so cool yeah well I don't actually take the thumbnail straight from spotter is 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 it will give you a concept and I can take that concept and use it as image to image inside of stable diffusion and how stable diffusion generate something that looks similar or what I've done if I really
really like the thumbnail generated for me is I take the thumbnail generated pull it into Photoshop put a little square around the area where it says generated with AI and then use generative filth to just remove it so so we just discovered a business idea for anyone
so you really could just go copy spotter and 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 yeah so yeah not that simple but
if you yeah someone smart 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 feed 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 yeah 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 one percent 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 the flux you know flux pro API cool I'm
going to go make an AI image generator and charge 20 bucks a month for it right 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 yes what are your thoughts about the like over saturation issue yeah 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 it you know before things stable stabilize and it's like I'll hear like the five things everyone uses right because over time it 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 time and then you 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 to be my guess yeah or you don't pay for any of them in their ad supported right yeah but you know there's something else though that I've been thinking about recently because like there's been like you know whispers at like the the new the models from opening I in the future the ones that are going to be
supposedly amazing and like people are going to think it's a GI what why do people assume that that's going to be $25 a month or whatever and they may not be like some of these future models may be very expensive like 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 10,000 a month and you get access to a GI and because it may cost a lot to run these future models and they may be absolutely amazing and very expensive to run so that's kind of if you pay 10,000 kind of concerned if you pay 10,000 a month for a GI can I go tell my AGI to go make me a business that makes more than 10,000 a month
well yeah that that's the thing is like yeah this made literally you know 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 but I giving everyone more opportunities and things like that but also we could input 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 dollars a month to use the newest open AI model and it's basically like hiring 20 employees or something nothing that's going to happen now but like let's say in three years or something that could really change your life like in like in people who can't afford that that's it's not going to be great great for them so I do I do wonder about that like I think people are not
think about that yet about yeah these things cost a lot right now but they may cost a lot more in the future I can see going either direction honestly because I do know like they're going to continually 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 all that stuff and Microsoft and others also I think they're starting to invest into nuclear as well so like we're going to need more energy as well and like cleaner energy so I think that's going to be one of the good things is like yeah we're going to 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 is kind of like what's been 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 a G I 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 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 open AI 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 can kind of do it all I think that'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 AI tattoo generator for ten bucks a month who wants to pay ten bucks a month for an AI tattoo generator at the very least I'm going to pay once get my tattoo idea generated it go get my tattoo and then I don't need you
anymore like I think there's so many people they're 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
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 once and then you own it forever
yeah but with AI you can't do that so that is a 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 yeah I think I think it's coming sooner than it sounds like you do but as a 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 a like a big future in on device inference for you I think I think that that is a lot of things to do and it's not like I think I've all been doing the AI is 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 is down. What happens if like there's internet outages? Okay. Now I can't actually run all of the 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 super computers 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, uh, these targets, it's supposed to be a billionaire right in the store. Yeah. Exactly. So maybe,
you know, it is a billionaire. So you 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 going to 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, you know, the, the, the, the, when they actually like train and open, I know you know this. I'm just more sagged this for like the audience, right? But like when they train these big models, like the newest version of, of like, cloud, 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 at 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, 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 anthropics 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 going to be more and more important. Like and so I don't know. I'm not sure. Like I, 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 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 work 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 flowing 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. That's where 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 RumblePack 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 turned 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 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 they talk and they're like cute and people watch
them on 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. And I think like you said,
more and more people are going to want some kind of human connection. And I 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 and 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 copy so and so as company and I'm going to throw these resources at it and try to beat the 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 I can be more and more important over time. So if anything else, if anything, I would be doubling down on I'm 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 more of a struggle mostly because I think it's going to get way over saturated 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 to do it, you'll probably do pretty well. But over time, Hey, 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 over saturated with that kind of content content that was just like somebody in it or 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.
Yeah, like on Facebook, you say it right now. Yeah, Facebook. The old exact example is thinking of yeah, yeah, yeah, on Facebook, you see the older people, the boomers or whatever, they're like, oh my God, that's so cute. Like people are posting like obviously fake photos of whatever. That's all I was like a cat snowman. It was like a snowman. It was like a cat. It was a snowman. And they're like, I think 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 and 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 going to like, cuss at you every time you tweet. There are people out there that are like, I see your points. Here's my counter points, 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, generated 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, other 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 like I'm going to try to stop this from ever happening. But the strength that I have is not enough to stop this moving train. It's just going to plow right through me. So I tend to operate on the other side of the train.
I'm going to ride the train instead of standing on the track trying to put my hands in front of it and stop it. You know, I mean, I think we feel pretty similarly about it. I mean, I, yeah, I kind of consider my part myself like a, you know, effective accelerationist, you know, you know, definitely a techno optimist. But 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 personally feel that AI is going to make the world way better. But 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.
Like the main thing I think about is not really the AI art stuff. Like 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, you know, I actually did a speech kind of 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 happens throughout history. And it's like the, the adjustment is hard for people. And it does, it does have a 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 my newsletter, like on Lord.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 be as positive about this as you can and try to figure out how you're going to, 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 or right, whatever, no politicians, if they're smarter, 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 I, 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, 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 is old this 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, 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. People are not realizing it, but like, I imagine like, yeah, in the future, and it's almost like, oh my god, yeah, yeah, it's going to help. It took my job. And then it's going to help me. But there probably will be scenarios where 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 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 the game plan. Just talk to Chad G.
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-robotaxies 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. Yeah, yeah. The value that people add to the world may just be the ownership. I am joking, but you know, I think you're going to get
in video stock. I think you're just going to get in the business right now. And yeah, sell everything you've got. But I'm joking. Quite honestly, like, you know, joking aside, I do think like people like Elon, Love Emor, Hate Em, I know a lot of people hate them. Some people are probably going to say I'm never going to tune into this podcast again because Matt mentioned to Elon. I've gotten those kind of comments on my YouTube videos. But Love Emor,
Hate Em, 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 Robo cab 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 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 is 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 cost 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 brands 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. There are a lot of fun. We'd 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's 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.