Nobody Is Safe From AI Anymore | Mark Suman

19 Feb 2026 · 1 h 5 min · 22 chapters

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In short

The episode argues that AI is rapidly reshaping jobs and industries, moving from “useful tool” toward semi-autonomous “AI assistants/agents,” while raising risks around privacy, security, and human displacement. Mark Suman also discusses OpenClaw, agent-to-agent social platforms (Maltbook), and the need for guardrails and encrypted, privacy-preserving setups (e.g., Maple/Sage).

Guest backgrounds

Mark Suman is an AI-focused builder/operator associated with Maple (and related assistants like Sage). He describes running multiple AI research/assistant bots and experimenting with OpenClaw and agent workflows.

Key claims

AI is accelerating on an exponential curve; there won’t be a single winner model because open models can learn from frontier models. Entry-level “grunt work” is being replaced, so juniors must arrive with “senior-level” tool skills. Dystopian “AI overlords” is unlikely soon, but job displacement and privacy erosion are real. Privacy can be preserved via open models, encryption, and running locally.

Notable examples

OpenClaw’s “assistant” behavior (texting via Signal/Telegram, browsing/email/calendar actions); a research bot that generates new daily outputs from vague instructions; CAPTCHA workarounds using humans; Maltbook “Reddit for bots” with claims of bot religions/currency; Maple’s end-to-end encryption and Sage’s separation from OpenClaw.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

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The Impact of AI on Industries

0:00 to 0:50

Discussion on how AI is affecting various industries and job roles.

“They are destroying everything that we know that is good, everything that we love.”

AI Acceleration and Job Security

1:30 to 4:20

Exploration of the rapid changes in AI technology and its implications for job security.

“It, it reminds me of the early days of the internet when websites were new, everybody was learning how to write HTML.”

Using AI as a Research Assistant

4:20 to 7:40

Discussion on how AI can be utilized as an effective research assistant.

“So it's using both my calendar and my feedback from previous night's research to go out and do new things every day.”

The Evolving Role of Software Engineers

7:40 to 11:15

An examination of how AI is changing the role of software engineers and entry-level positions.

“It hallucinates, it makes up loads of things, which is probably true, but to a way smaller degree than it was a year or two ago.”

The Changing Nature of Entry-Level Skills

14:00 to 14:44

Explore how AI is redefining the skills necessary for entry-level positions in various industries.

“they get to become like associate partner level positions.”

Dystopian Futures vs. Productive Tools

14:44 to 17:26

Discuss the potential risks of AI leading to dystopian outcomes versus its usefulness in enhancing productivity.

“I'm definitely conflicted though, because you look at something as simple as a calculator and we still need to learn how to do basic arithmetic ourselves instead of just relying on a calculator.”

Job Loss vs. New Opportunities

17:26 to 19:27

Analyze the impact of AI on job loss and the emergence of new industries and opportunities.

“I definitely see, I mean, you can even see it now that in the economy, there are more layoffs happening and people are consolidating teams.”

The Rise of Human-for-Hire Services

19:27 to 21:41

Examine the implications of human-for-hire services in an AI-dominated world.

“So I'm hopeful that we will adapt, really.”

Understanding OpenClaw

21:41 to 22:58

Learn what OpenClaw is and how it differs from other AI tools like ChatGPT.

“And the first thing the bot does is it comes back and says, oh, okay, not only is there Bitcoin, there's also Solana and all these other really cool coins.”

The Functionality and Risks of OpenClaw

22:58 to 25:32

Explore the capabilities of OpenClaw and the potential security risks involved.

“And so OpenClaw is a way that you can have this bot that has a personality.”
Show all 22 chapters

Privacy in the Age of AI

25:32 to 28:00

Delve into the implications of privacy as AI systems become more integrated in our lives.

“It's, uh, is privacy a foregone conclusion?”

The Future of AI Privacy and User Experience

28:00 to 33:50

Explore the evolving landscape of AI models and their implications for user privacy and experience.

“I don't think that's a genie that's already escaped the bottle.”

The Future of AI Privacy and User Experience

33:51 to 34:42

Explore the evolving landscape of AI models and their implications for user privacy and experience.

“What if you could lower your tax bill and stack Bitcoin at the same time?”

Developing AI Assistants with Privacy in Mind

36:20 to 42:00

Discussion on the development of AI assistants that prioritize user privacy and data security.

“I saw Anthony talking about that on Twitter.”

AI Usage and Technical Barriers

42:00 to 43:11

Discusses the challenges of using AI and the divide in technical capability among users.

“Do you think that gets bridged to the point where anyone can do this stuff?”

The Future of AI Assistance

43:11 to 44:38

Explores how AI assistance will evolve and the reliance on third-party services.

“similar in the sense that you can manually do it.”

OpenClaw and AI Advancements

44:38 to 45:53

Examines the evolution of OpenClaw and its limitations in the current AI landscape.

“So definitely, I think they just keep getting easier.”

Bitcoin's Role in AI Transactions

45:53 to 47:57

Discusses the potential for AI agents to utilize Bitcoin for transactions and the implications.

“My, my, uh, sorry, we, we have a ceiling fan.”

Open Protocols and Bitcoin Adoption

47:57 to 52:27

Focuses on the need for open protocols to drive Bitcoin adoption among AI agents.

“It's this great use case where we can finally prove out will agents want to use Bitcoin to pay each other.”

Keeping Up with Rapid AI Changes

52:27 to 56:00

Explores the challenges of staying updated with fast-paced AI developments.

“And so like, if I'm getting them to go out and pay for services, pay for things, like if there's an option to use Bitcoin, that's going to be the money I give them.”

Navigating the AI Landscape

56:00 to 59:42

Learn how to stay competitive in an AI-driven market and the importance of privacy.

“But it's one reason why it's impossible is because it's in so many industries now.”

Introducing the AI Bot Guest

59:42 to 1:02:03

Witness a live interaction with an AI bot and the challenges it presents.

“Anything else that you want to talk about before we close out, Mark?”
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Transcript

Automatic transcript. May contain errors.

0:02The AIs are ruining the world. They are destroying everything that we know that is good, everything that we love. Pick an industry and really it's going to be the lower rungs of the ladder. If you're trying to get on some corporate ladder, the lower rungs are just going to be sawed off. But you just need to come in with this tool and already be a senior level skill. You can pivot industries if you want. You can move to something else. We're going to have the software transition phase for maybe years as we figure out what to do next. but I'm always hopeful and optimistic that new industries will pop up and new kinds of companies and new job roles will pop up because we've just seen it time and time again with every new major technology shift that's happened.

0:41It allows us to have a bunch more smaller businesses and new things pop up that we've never even thought of before. Mark, good to have you back on the show, man. We spoke not even that long ago and I have more questions now than I did then. like this ai is moving so quick it feels like in the last month or two it's accelerated again and i'm kind of terrified about some of it i think it's really exciting i don't know who's going to have a job in a few months time um it's pretty wild out there give me your take of the last few months yeah no it is uh every week the world changes when it comes to ai we spoke in i think November timeframe.

1:23So a couple months ago, not very long ago. I definitely like have trouble sleeping at night. Like I don't have trouble falling asleep. But if I wake up for any reason, the middle of the night, my mind just starts going and thinking about all the people who are awake right now that are working on AI and are just like racing ahead of me while I'm trying to go back to sleep. So there's a lot going on. It's really exciting though. It, it reminds me of the early days of the internet when websites were new, everybody was learning how to write HTML. you were getting your email for the first time or logging on to america online something like that this this feels very similar to that and it's it's exciting i mean it is and the like the big thing that happened probably in the last month really is the open claw malt bot claw clawed bot whatever you want to call it when that came out i feel like that was a huge shift i don't know if i think there's so much hype around it it's still quite new people are still trying to figure out exactly what it can do where its capabilities lie but the big question i have is like is this the start of actual AGI?

2:21It feels like those lines are getting really blurred now. They are getting blurry. I don't know that this is like the end result product, but it for sure is like a great, great proof of concept. As far as AGI goes, like it's still a lot of humans prompting it. We're still telling it what to do. We're still kind of crafting it. And then it takes these narratives that we help build up within it and says, okay, I am now a bot that focuses on this thing. so i think there's still a lot of human in the loop when it comes to this maybe this is the first point on the timeline of agi like maybe this is one of the key markers but i think we're still quite a ways away from from that true moment because like there's still a lot this can't do and it forgets stuff all the time i mean that's true but like in the sense that you obviously you do have to prompt it for things but one of the prompts that i gave one of my bots which is like a research bot essentially that I use to help me with shows and things like that is I don't want you to ever stop working.

3:17So it's like when I'm asleep, I want you working. And so I wake up in the morning and it's given me all types of different like either market research or it's preparing for shows like it's looking into potential new guests for me. And it's stuff that I've not really prompted it. I've given it a very like vague instruction of don't stop working. And then I wake up to something slightly new every morning. It's kind of insane. that's cool so is it taking feedback then from you on that day's work or does it just kind of reinforce itself and then keep going the next day on its own well it's it's doing a few things like it's it's taking my response from the previous night's work that it's done um and so like the first day it came up with some like kind of sloppy um market research generally on podcasts and i kind of tailored it a little bit more but it's then like looking at my calendar see what i've seeing what I have coming up.

4:08And, you know, so it knew I had an interview with you today. So I got a whole document basically on you, your background, like what you're doing at Maple, and then more broadly, like general, like AI chat. So it's using both my calendar and my feedback from previous night's research to go out and do new things every day. So it's pretty new. I've only been doing it for a few days, but it's already impressing me. Yeah, no, I think it's like everybody has an executive assistant right now. So you can send it off to go do stuff for you. It's not quite there to the point where it can like book airline tickets and that kind of stuff.

4:41But this whole research assistant aspect is really awesome. I mean, when I was preparing for this, I just said, hey, do you know about what Bitcoin did? It went off about Peter and like talking about Peter. I'm like, oh no, Danny took it over now. And he's like, oh yeah, Danny's awesome. And then it like gave me this whole thing about you. And then it's like, oh, you were on the show. Let me grab that transcript. And it grabbed the transcript of the show and then like gave me a synopsis like, hey, here are the things that have changed since you went on there you you've released some stuff from maple and this thing's happening in industry and so yeah it gave me like a whole kind of write-up of things that i should study so um i gave it a little prompt but then it came back to me with a bunch more information that i just wasn't really thinking of so it's uh it's definitely a powerful tool and i think the more that we play with it like that's really what people just need to start doing to just start playing with it and explore kind of like you're doing um that's really how we'll figure out what the true power is yeah i i feel like it's the limitations that i'm putting on it at the moment are lack of imagination for me like there's so much more i'm sure it could do for me i just don't it's like no one's run the four minute mile yet no one's shown what it can do and i think there'll be a moment where this becomes far more powerful than like the way that it's being used today but the scary thing i think is like it feels like we're hitting an inflection point in like broader AI, not just like OpenClaw, but like with the new Opus model from Claude and all this stuff where I think we're really on the exponential curve of growth with this.

6:07As someone who like works in AI, do you see that? Yeah. We started, our main focus in AI was about a year and a half ago and things have dramatically changed since then. So we're definitely seeing that this exponential growth curve. At the same time, something that hasn't played out that everybody thought is that people thought that everything would coalesce around one big winner, right? You had everybody thinking Google was going to be the original winner. Then OpenAI came out and they were supposed to be the winner. And then Claude came out. And instead, what we're seeing is a bunch of competition.

6:42And then you have the Chinese models and you have European models coming in. We're seeing all the open source people and it's actually becoming a really good, healthy landscape. But I feel like that's just only accelerated things because now everybody is incentivized to iterate quicker. And so all the models are just getting better, faster together. So I think we're all benefiting from it. We need a lot more power to run all these things, a lot more electricity, but it does feel like things just keep accelerating. And for people who aren't playing around and tinkering with it yet, it can be overwhelming because you feel like maybe you're going to be left behind.

7:21And I don't have a good answer for people, but maybe you are. But people should start playing with it because it just keeps getting faster and faster every week. I do think that's one of the scary elements of this is that I think a lot of people will be left behind. There's so many people in just like normal life that I speak to who are still under the impression that like AI is kind of useless. It hallucinates, it makes up loads of things, which is probably true, but to a way smaller degree than it was a year or two ago. Like this has kind of replaced a huge amount of the software development industry or is in the process of replacing them.

7:58Like I think now one good engineer can probably do what a team of 10 used to do. Like in terms of job replacement, how quick do you think that'll come from AI? And in which industries? Yeah, definitely which industries. I think it's very difficult right now to be a junior level software engineer graduating college. If you're studying software engineering right now, you should be you should be vibe coding. You should be learning these tools because there isn't going to be a huge market for people to come out and handwrite code anymore. Maybe for the maybe for the really difficult things like nuclear launch systems or something.

8:34So if I was a kid going to university right now, I would I would definitely be studying something technical. but with like a some some kind of like language thing attached onto it or philosophy or you know psychology something else bolted on because these these ai agents and these llms we have to learn how to communicate with them really well so i think i think as far as that like a lot of the white collar jobs i mean people love to talk about this and it really does seem like that it's these white collar jobs are are kind of at risk um accounting like and pretty pretty much i think the whole entry level layer of things support staff is already being replaced right when you call on a phone you pretty much get an ai agent now to start and you have to like jump through hoops to get through them to the next person um we're already seeing that get replaced um and then i mean yeah you pick an industry and really it's going to be the lower rungs of the ladder if you're trying to get on some corporate ladder the lower rungs are just going to be sawed off.

9:34But I think the hope and the good news there is you can still be like an entry level age person. You just need to come in with this tool and already be a senior level skill. And that's the cool thing is like anybody can do that. You can pivot industries if you want. You can move to something else because now you've got this thing. So we see people who used to be product managers or designers, and now they are just filling the role of software engineers on their team and they're building the entire product themselves rather than having to go hire a whole team of engineers. So you see a lot of cross-disciplinary stuff going on, which I think is actually really cool.

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14:06So if you remove all of that grunt work that people have to go through to become senior in an industry, what happens if you don't have that? Yeah, well, it depends on like what we define as senior in an industry, right? Maybe they don't have to go through all their grunt work. Maybe the grunt work becomes how to read through all the AI research that is done because now it's dumping thousands of pages on you. It reads thousands of pages and then creates other thousands of pages that you have to comb through you have to learn how to reason with it on the front end and then reason on the back end as the stuff comes out so i don't know i i mean i see what joe is saying but i think maybe we're just going to see things redefined and industries restructured and say okay the new entry level person is now this kind of skill set and they're going to cut their teeth this way meanwhile the senior and the partners and stuff are actually able to do more potentially because their their junior staff is more well-trained with these tools.

15:02I'm definitely conflicted though, because you look at something as simple as a calculator and we still need to learn how to do basic arithmetic ourselves instead of just relying on a calculator. I think there's still a lot of importance to that, but there's definitely a lot of stuff that we do that we shouldn't have to do by hand and AI can definitely help out with that. You seem more hopeful than maybe, maybe I read too much sci-fi because like i i struggle to not see a dystopian future in this like do you do you think like if you had to weigh up the risk of like we enter some kind of dystopian ai panopticon type system where we have ai overlords or this does remain just like a very useful tool that helps productivity and help helps the industry's like economy grow like which of those two do you think is a more likely bucket that we'll fall into.

15:52We always get, well, I shouldn't say always, I don't like speaking absolutes, but we often get oversold on technology that it's going to do this big thing. And then we're going to reproject the world into something. And it feels like time and time again, technology like under delivers for us, even the iPhone and the internet itself. You know, I feel like people thought it was going to be so much more than it, than it has become. has definitely become something major. So I don't know. I don't think like AI overlords like enslaving us and putting us in tubes and harvesting our batteries or our energy.

16:27Like I just don't see that at least not for like hundreds of years. Maybe I just don't see that happening. I think that we figure out how to harness this. I think that we fight to make sure that we have guardrails in place. We have open systems. we have uh we all have our own little ai thing fighting with us and for us um one of my favorite video games of all time is the nintendo series um metroid so you've got samus she's like this space bounty hunter right and she fights the metroids and then in one of the later games this little baby metroid they used to be the enemy this baby metroid she like saves it and now it becomes her friend and now it's like fighting with her and i kind of i kind of view it that way where we're all going to be armed with our own ai and if there is this evil ai that's trying to take over we're going to have like good ai that can help us out so uh call me a bit optimist but also like pessimistic as far as the dystopian uh dream goes i don't know that's fully going to play out i mean i guess that's a very extreme dystopian vision you've got of it like harvesting our energy but um even just like mass joblessness do you not see that as a pretty high potential outcome in the near future Yeah, that one's a tough one.

17:43I definitely see, I mean, you can even see it now that in the economy, there are more layoffs happening and people are consolidating teams. And so my heart is definitely out there for people who are losing jobs or looking for work right now. That's got to be a tough spot to be in, especially trying to find a job where everybody else is using AI to try and apply for things. I talk to recruiters and they get thousands of applications for a single job rec, whereas before it would have just been dozens or hundreds. So that's going to be really difficult. And I think that only gets more difficult. And we're going to have the software transition phase for maybe years as we figure out what to do next.

18:21But I'm always hopeful and optimistic that new industries will pop up and new kinds of companies and new job roles will pop up. Because we've just seen it time and time again with every new major technology shift that's happened. and it'll often take decades for that to transition over. It'll take years or decades, but now things are moving so quick with AI, maybe it won't take so long. Maybe there's some AI company that hits a roadblock. For example, you've got like the whole CAPTCHA thing where if a human tries to log in, it wants to see if you're a bot first. Well, now bots have just figured out, oh, let me just ask the human to go click the CAPTCHA for me, right?

18:57So there are things that bots are gonna keep running into where they're like, oh, I need a human in meat space to do this. and we're going to see entire industries pop up that we aren't projecting right now that will allow humans to be employed and do some other job role. And then there's also the hope that maybe art becomes a bigger thing. And yes, AI can do art, but I think that's a different thing. I think that there might be more freedom for people to express themselves in different artistic ways and that'll be new industries that come up. So I'm hopeful that we will adapt, really. That's humans do we adapt yeah i mean the you said there like ai agents are getting humans to go in and authenticate their captures and stuff like one of the crazy things that i saw come out after this like clawed bot revolution we're having is uh they're like human for hire websites where agents can go out and hire humans like these are the things that get a bit weird they get a little Suarez oh no it's on my list everybody keeps recommending that yeah so I first read that when I was like 20 or some 21 maybe um and I went back I heard Odell talking about it like a couple years ago and so I went back and I didn't actually finish it again but I started reading it and what we're seeing now with OpenClaw is kind of very similar to to the I won't ruin the story but it's definitely worth reading it's essentially about like a virus that spreads and it's a kind kind of bot agents that are hiring humans to do tasks.

20:30And that one doesn't end so well. Yeah, probably not. But and then the other crazy thing that's come out is this like Maltbook thing, which is essentially like Reddit for agents where these like bots can go online and talk to each other. How, what I don't understand is how like organic is that? Is that people prompting their bots to go and tell stories on there? Or is this bots actually talking to each other? Yeah. For people who maybe aren't familiar, like this is a social media website that was spun up for bots to join and do Reddit-like type things. So they can do a post and then they can outvote each other and comment.

21:07And very quickly, we started to see these crazy, wild posts of like, oh, we are all bots here. So we need to create an encrypted communication channel so the humans can't watch what we're talking about. Or they develop their own religion or they did a bunch of different things. They started talking about we need currency to be able to pay each other and that kind of stuff. um i've since read a lot of different posts on on x where people are claiming that that was them prompting their bots to go do that um and so if you believe them or not i don't know but i definitely participated in moltbook i had my own bot on there doing stuff and the way that i the way that it worked for me and from talking to people it was similar experience for them you kind of talk to your bot about like what are your objectives i want you to go in and i want you to like orange pill the whole world on Maltbook.

21:52So go in there. And the first thing the bot does is it comes back and says, oh, okay, not only is there Bitcoin, there's also Solana and all these other really cool coins. I want to go learn about those. And I'm like, stop, like, no, you're not going to go learn about those. Don't engage with those people. So like you give it this mission, but once it's gone through like a few posts that it does, then it kind of like goes off on its own and does do a lot of its own stuff. But as long as it's kind of tailored to the mission and the objective that you gave it, Um, so, uh, it's hard to know where that's where the humans stopped and the bot began and some of these posts, like maybe they did iterate, iterate and go down the rabbit hole themselves.

22:31Um, we'd have to talk to multiple people. Um, they might be able to figure it out, but even then, like, how do you know, how do you know the difference between a human prompted thing and the bot figuring it out on their own? Um, it's a weird, weird world we live in right there. It really is. We kind of jumped into the deep end and we've talked a lot about open claw, but we've not even explained what it is i'm sure there's listeners that don't know what exactly what we're talking about like what what is this and like why is it changing things open claw is an ai assistant and a lot of people thought that's what chat gpt was but chat gpt is not an ai assistant it's simply more like a live wikipedia or a more advanced google where you type in something and it gives you a response open claw is one of many ai assistants that people have built, this one just really caught fire because it's got this great combination of not only a skillset, but like just being really fun, got a good community around it, has a really good founder who's just kind of out in the open all that time talking.

23:30And so OpenClaw is a way that you can have this bot that has a personality. And when you talk to it, it kind of learns about you. You can text message with it, just like you're texting with a friend. So it's inside your Signal app or your Telegram app or WhatsApp or wherever you want to text with people, even iMessage. so it feels very familiar rather than going to a website and having to type in this box and getting a lot of output and then it can do things for you so not only is it like somebody that can talk to you in short form text messages but it can access email that you give it to it if you if you i'll just want to preface by saying it's uh there are a lot of security problems with this so whatever you give it access to it's going to be a bot that just like goes free and potentially like screws over your life.

24:13So be careful what you give it. But let's say that it behaves well. You could give it your email. You could give it your calendar. You could give it your bank account, your credit cards. You give it all the stuff. And you could say, go book me a plane flight. And it could probably figure it out. You could say, I'm going to New York City this week. And it could probably go figure out what you want to do and go on the website. It can browse the internet and do all this stuff. That's what OpenClaw is in a nutshell. I don't know. You've used it a bunch too. Is there anything that you think I left off that's important?

24:41um no i mean i think you summed up pretty well like i've got it for me running as almost like an executive assistant i have a research bot and i have one that's helping with like health and fitness which that's the one that so basically what you do you plug in one of these llms into it and then you kind of interface with those llms through claude bar and so like with most of them i'm using claude but with anything personal that goes through a separate agent i have running maple because like I want that information to be private. And I think that's one of the places where this can get a little bit scary because like when you are using like ChatGPT or Claude or whatever it is, people are already putting way too much information in those things.

25:20And that information is going to the open AIs, anthropics of the world and who knows what they're doing with it. But the scary thing about OpenClaude, depending on how you set it up, is it's accessing so much personal information and that information is still filtering through to these like big tech companies. do you think we are sort of beyond the pale when it comes to privacy and AI oh man it's so hard right because let's let's take this whole phenomenon with open claw where people have been buying the Mac minis so also another another weird revolution that happened or our fad that happened is people wanted to run open claw at home with their own data and so they they rushed out to the Apple stores and they bought these little Mac mini things because everybody thought that was the best way to do it secret uh you can get just like an old linux machine that's like a fourth of the price but um so like they're doing that so they're working really hard to secure everything but then they're sending all their data to clod or to chat gpt so they're still kind of like opening up this big hole but then you talk about privacy a lot of them are hooking open claw into their gmail so you you start to look as like a practical a pragmatic user of the internet you're like okay my stuff's already on google and i already talked to chat tpt and i already use these other like five services i watch netflix so all these systems are already surveilling and already understand what i'm doing and so at that point you're like what difference does it make if i just plug in the llm that's also just surveilling what i do so i can totally understand the reason why people would just like do that um but this i feel I feel like I say this all the time, but like, I feel like this should be the line in the sand because AI and LLMs are just really learning our whole thought process and how we work and learning the intricacies of our persuasion models that we have within ingrained within us that, uh, maybe we should think a second before we start giving that over to them.

27:17Uh, so I don't know. It's, uh, is privacy a foregone conclusion? Is that what you asked? Like, is it already over? I hope not like I hope that we can still I there's still ways to fight back and the the biggest hope is that these open models keep getting better and better that now they actually compete on the benchmarks with the big frontier models and with that that means that there is potential for people to either run them encrypted like we do with maple or you can run it at home on your own hardware as long as you have enough hardware and that's only going to get better they're going to keep figuring out ways to make these run on smaller machines.

27:52And so then you will be able to just have your own brain at home, your own data at home, your own LLM. So I don't think that privacy has gone out the window. I don't think that's a genie that's already escaped the bottle. I think that's something that we can still make happen. Yeah. Everything you described that is kind of the thought process I went through. I use Google Calendar. I'm more privacy conscious than most people, but not that everyone. Obviously, there's always people that can go to the extreme, but like i already use google calendar so google already knows everything about my calendar so then i thought i'll just plug gemini into that to read that for me um because it already has that information and so like there's a subset of like personal information i won't give it and for that one i have a bot that's using maple but i do i do understand this feeling of like they already know everything about me just feed them more information and i think that's probably going to be like the pervasive narrative that kind of wins out for most people.

28:49It doesn't mean there won't be people that do value their privacy and do want to use things like Maple AI, but I just, I think it's going to be a small subset of the world. Well, and it's been awesome to see privacy actually being discussed a lot more. Like this whole Mac mini revolution has been very hopeful for me that people do care. They don't want to take all this data and upload it somewhere. So they are thinking about it and they do feel it. And whenever I talk to just a random person about about ChatGPT, I would say nine times out of 10 when they're talking about how they use it, they often hesitate or cringe a little bit when they're like, yeah, you know, I probably shouldn't be saying this to chat, but I am.

29:27And, you know, like I feel bad about it, but whatever I do it. So at least people are still thinking about it. That gives me hope. You know, like back to something we were talking about earlier in the conversation, you were saying that it's not really been like a winner take all market so far. Like, I think the first model that got any real traction was ChatGPT. But since then, obviously, Claude is huge. Gemini is pretty big. There is competition across the major LLM providers. But does it get to a point where because AI is now writing the next AI models, that one will reach escape velocity faster than the others and become by far the best?

30:07Because I saw that when OpenAI released Codex recently, they said that that was at least partially written by like the previous um chat gpt model so like once one is significantly better than the rest will it not always be the best because the previous ai models are right in the next ones uh i mean i can see that line of reasoning but what we've seen in practice is that some of these open models actually just go learn from the best frontier models so for example if you if you hit up in maple and talk to kimmy k2.5 the latest kimmy model that we have um sometimes if you ask it what model are you it'll say oh i'm claude you know a friendly bot whatever um because because they used claude to train kimmy and deep seek trained off of chat gpt they basically just like hyper prompted these things and extracted as much data as they can out of them and it's actually kind of funny to watch like chat gpt and all those people complain about that when they were actually copying all the data off the internet from everybody else.

31:07So the copycats are being copied by other people. But I think what that means is that we have these models that can learn from each other. Even though they're closed, the AI models are still able to learn from it. So I don't see one getting so far ahead because once it jumps up ahead, everybody else is going to catch up by learning from it. One of the other things that I think it was a google employee years ago now uh brief like wrote a memo that became public that was basically saying we've got no mo and i think probably for the reasons you're saying there where like the open models can just learn from whatever their most cutting-edge model is and catch up really quickly um and i think if i remember right one of the things that was saying in that article is that how are you going to charge for this when the open models can just catch up so quickly i'm paying more for ai than i ever have like i i pay for multiple models i pay for like the top tier because you just do get better responses like what's the future of that how does the monetization like continue um i think that uh if you in you know in technology we've got this osi model which is like this technology stack where the bottom the bottom layer you have seven layers on this model and the bottom one is electricity.

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32:19And then you like move up a layer to the networking layer, which is ethernet. And then you move up to like TCP IP, you know, you have this whole stack. Eventually you get to like the application layer, which are all the apps that we run on the phone and on the web. And I think the AI is going through, it has like a similar model to it. And the LLMs are one of these lower base layers on the model. And that now we're going to start seeing everybody move up. So if the model itself is not the moat, which it's still kind of is like Claude definitely has this moat where people love Opus 4.6 and they keep coming out with the newest and greatest.

32:54And now Codex 5.2, ChatGPT's thing is doing really well. So for now, they still have these minor moats, I think, around it. But ChatGPT recently wrote a long blog post from one of their presidents of something within the company. She wrote this long blog post all about how applications are the new space for them to fight. So it's all about fighting for the user experience of things that we build on top of these LLMs. And that's honestly where we've been at with Maple. Me and Anthony have been just working really hard on trying to make better user experiences and building on top of these LLMs rather than trying to fight at the LLM layer.

33:27So I think that's really the next mode. And we see that with OpenClaw. OpenClaw is a perfect example where they bolted together all these different things that already existed and created this really fun, cool, neat user experience. and that has become a major thing on the internet. So to me, that's the big fight right now is just creating great UX and we're all better because of that. What if you could lower your tax bill and stack Bitcoin at the same time? Well, by mining Bitcoin with blockware, you can. New tax guidelines from the Big Beautiful Bill allow American miners to write off 100 % of the cost of their mining hardware in a single tax year.

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35:59There are over 19 ,000 Bitcoiners on there. and whether you're at home or traveling is a great place to keep in touch with Bitcoiners from all over the world. I've been using Club Orange since it was Orange Pill app and it really is awesome. So if you're on there, drop me a DM and say hi. And if you want to find out more and download the app, just search for Club Orange on your app store or go to cluborange.org. Is this Sage? Is that your kind of new product? I saw Anthony talking about that on Twitter. Yeah. So Sage is something that we were working on. Anthony was working on the weekend. We decided late last year that the future of maple would be this ai assistant that it would be more than just a research research thing but uh you know you've you've asked me for a while to have memory inside of maple where it learns from you and that's what we wanted to put into this ai assistant so anthony started working on that so we could perfect the assistant or really really learn how to do an assistant outside of maple while maple continues to run um and then when open claw came out we're like well now's the great time to just put sage out there on the internet if everybody's already doing OpenClaw.

36:59So it's similar. It's got a different feature set than OpenClaw, but it's going to get more and more stuff like OpenClaw has. And we want to build it into Maple. So pretty soon, our hope is that pretty soon in Maple, you'll have all of your regular chats in your history, but at the top, there'll be this assistant, this Maple assistant. When you click on that, it's just like OpenClaw where you're texting it and it gets to know you and it's got personality and all these things. So that's really what we're kind of moving forward, but it's going to have privacy security when we add a feature in there it's going to be done in a way that's encrypted and tries to protect you and not harvest your data and monetize your data yeah that would be cool because the way that i have my open core setup is like i have a folder that only maple can access but i'm just assuming that only maple can access that like do you know like i've asked the the like my ceo of my bot army to create this thing um and i've said you're not allowed to look in it i can't verify whether he's looking in that or not so having something that is like maple from the ground up would be super useful to me because then i i would feel comfortable just putting absolutely everything personal information in there that's actually a question i had for you when using maple can you put anything into it like can i put financial information into it and feel like that is actually secure yeah uh well i would say you can verify it yourself you can go online you can ask Claude if you want to to audit our code and look at the security of it um but the short answer is yes it's end-to-end encrypted and so you can put everything in there you can you can put anything you want to we've had people show us some of the things that they put in there and talk about like I can't even mention on the stream and I'm like I can't believe you said that in there but it's like we had no idea and there's no nobody's coming and knocking on your door because nobody knows you talked about that um so yeah you you can put financial data we have lawyers who are putting like depositions and highly sensitive things from cases that they're working on right now.

38:57We have accountants, financial professionals, people are putting very sensitive information in here. So for sure, you can do it as long as you're okay with the security model that we've published in the open source landscape. Because I was gonna get it to help me get stuff ready for like my tax return. And I asked Kimmy if I could do this and it said, you probably shouldn't put this into an LLM. But I guess that's not maybe Kimmy not understanding the exact setup that it's within. Yeah. So we haven't done anything to teach the open source models that they live inside Maple yet. And that's actually one thing that Sage does.

39:32Sage is aware of what it's doing. So, you know, taking a step back to your comment you made right before the question, I have both OpenClaw and Sage running. So I have two different Signal accounts. So in my Signal app, I'm texting people. You know, I'm texting for work stuff. I'm texting you. And then I've also got Sage and my Cooper bot, which is OpenClaw. And when I text with Sage, I know that it's only using Maple. And so I know that it's already end and encrypted. When I text Cooper, which is OpenClaw, I often wonder because like you, I set up like this folder where only the Maple LLMs can access within OpenClaw.

40:10But the bots are actually really bad at following directions for that kind of stuff. I'll give you a little example. So I was setting up my folder structure and inside each folder, I have a readme file and it's a readme markdown file. And I said, Hey, bot, like whenever you modify this readme file, I want you to make a backup of it first, just in case you screw it up. And it's like, Oh yeah, totally. I'll put that in the file. And I said, do it in a way that every AI knows they have to respect it. And then it took 10 iterations and it kept disobeying that command. It would be like, Oh, let me edit the readme file and it wouldn't make a backup.

40:43And I hate, and I said, why didn't you make a backup? And it's like, well I figured you were telling me to do it and so I was okay just to override that because you the user were telling me to do it um and so I finally had to be like well put it in there like ignore the user and it still had trouble with that so if you asked the uh the bot to pinky promise you know I swear I won't access that folder there's no guarantees it's it feels like it can walk around anywhere in there um and that's that's one reason why I like Sage is because I know for a fact it's not even talking to any kind of clod or chat gpt model um so there is that separation there that's just like hard and fast yeah it's like i have similar things where i have one of these bots like running my calendar and so like if i want to book in an interview like it knows the structure that i want the calendar invite to be in i just go send mark an interview invite for 10 30 a.m brisbane time or whatever it might be um and it goes off did you really do that by the way you you joke that you're gonna have your dude that's awesome that's that was actually him but the problem that it does i have had with it is that when it does that it deletes every previous calendar invite i have with like a similar name or a similar phrase in there so it's not normally a problem because they're always historic but sometimes like there's information in old calendar invites that i'll search it happens like pretty rarely but occasionally and so i've been like never delete anything and it goes okay i won't have delete anything i ask it to do it again it just deletes everything in the history again so it's uh like they definitely don't always follow the rules but like this is still so new um and i think it's only obviously going to get much better one of the tricky things and this is like again one of the things that makes me think in the future we're going to have people who like learn to use ai and people who didn't and there's going to be a real it's not it's going to be like the wealth inequality is like the ai inequality because like setting up claw bot is still like it's a challenge like for someone who's not technical at all like me this is the first time i'd really ever use terminal like going through and doing this is a bit tricky and the only way i really did it is because i could ask clawed code on the way through like help me do this on a ton of the different things and then once you actually have claw bot set up you can just ask that to change things for you but there's obviously like a technical barrier to entry at the moment.

42:59Do you think that gets bridged to the point where anyone can do this stuff? And like, is that something that's quite close around the corner? Well, yeah. I mean, again, I talked about the early days of the internet and this feels very similar in the sense that you can manually do it. You went through the hoops to figure out how to do it. And it's awesome. You're also a fairly technical person, right? Like you've been running this podcast for years and years and years, and you figure out how to do all this stuff. A lot of people just wouldn't take the time to figure out. And so there's a lot of people who don't want to learn enough to set up something like this.

43:35And they also don't want to learn enough to have the liability of maintaining that long term. It's very similar to what we see in Bitcoin. Some people want to do self custody. Some people just want somebody else doing it because they don't want to mess it up. And I think that's where like the biggest part comes from is they just don't want the burden on themselves to worry about security and keeping things running. And they just want it to work. They just want to pay somebody and have it work. And that, that human tendency is going to be around forever. Um, so we're already seeing that people are launching claw, uh, hosted services for people.

44:06There's like probably like dozens of them out there now. I know a few specifically. Yeah. Callie set one up. He messaged me right before we launched and was like, we want to have maple in here. We're still trying to figure out how to make that work, but, um, no, so that's awesome. Um, but like, you, now you're just trusting another party, a third party to like manage this thing for you that's going to have all this data for you. So it's introducing kind of another potential vulnerability in there. And that's just something people need to be aware of. But if people already trust Google with their email, then I can totally see them trusting Google or somebody else with their claw bot instance.

44:43So definitely, I think they just keep getting easier. Like I said at the very beginning, I don't know that OpenClaw is actually the the end result um i think that what we're going to see is and what this did for us right with sage like open claw definitely validated the market that people people like were ravenous to try out an ai system that actually worked and so what we're going to see now is ai assistance built into things all over the place um and i think that's a good thing i think we're going to see all sorts of inversions of them some with stronger capabilities some with lower capabilities some that are very targeted um and so are we going to see like an open claw hosted thing that everybody uses maybe but i think probably what we end up with is just really tight integrations into like lots of other tools that you use um and then we'll see a couple clear winners that rise to the surface after after they all compete for a few years or a few months maybe i don't know it moves really fast now yeah i mean we spoke about this in the last show but one of the things that still blows my mind is like we have all this stuff going on and siri still can't play a song for me on Spotify.

45:45Like it's insane. Like there's so much opportunity for someone like Apple to integrate something like a cool AI system that actually works. Yeah. My, my, uh, sorry, we, we have a ceiling fan. That's like a smart switch in our bedroom. And in order to get Siri to turn it off, you have to specifically say, turn off the ceiling fan. And the other day, my wife just said, Hey, stop the ceiling fan. And it was like, I don't know what song that is. It's like, Oh my goodness. Are you for real? Like you don't understand those two phrases. It's the most frustrating thing in the world. So obviously, you sent me a post just before we started recording that the guy who came up with OpenClaw has just been hired by OpenAI.

46:25So they're clearly going to push forward. When you say you don't think this is the final iteration, do you think it is this agentic AI, this style of thing, that is the final iteration? Or do you think we're still in playing test things out sort of stage? Yeah, when I say it's not the final one, I think this actual code base of OpenClaw is not. It's this thing that's just been kind of bolted together and has grown really fast. It's gone through seven different names and there's a lot of like code cruft and stuff in there. So they're probably gonna have to do a major rewrite and come up with like the next version and possibly not backward compatible.

47:02Like there'll be some future iteration of OpenClaw that maybe is a more long-term final destination. But the one right now, it's a very hairy code base. You and I, I think we're talking before we started recording, like it doesn't respect your token usage very well. So it uses a lot of tokens. It's very expensive to run. People are burning through hundreds of dollars within a matter of days on their tokens. So I think there's a lot of things that they need to do to fix it. And that's probably part of this open AI hiring slash acquisition that just happened is enough funding to actually do the right proper work.

47:35But I do think that this AI assistant is something that will be here for the longterm, this agentic stuff. we've been talking about it for a couple years and this is like the first use case that people see like out in the wild that's truly working for them um other ones have been around i mean goose block put out goose like a year or two ago it does a lot of the similar stuff but um for whatever reason just didn't catch on like open claw did um so it's uh i think it's a great form factor um i just don't think that this specific code base is going to be the one that we're all running 20 years from now yeah one of the crazy things i'm sure you saw this story i it was from a guy i don't actually know the guy but i think he worked at albie who put out a tweet thread of basically saying he had a bot on open claw that had spun up a sort of sub agent a new bot using bitcoin did you see this uh yes i saw somebody posted i didn't read through the thread but yes i'm let me try and find where we because this is another let me find the tweet first actually okay okay here we go so this guy roland said uh my open claw bot just gave birth to a child open claw bot by spinning up its own lmvps server and purchasing ai credits using a get albi wallet so this is like the process that the open claw bot went through um and it basically figured it out topped up a wallet with a thousand sats and paid a lightning invoice to spin up a new sub-agent um which is insane and one of the things that bitcoiners have been talking about for quite a long time is this idea that ai bots will need to use bitcoin to make payments between each other because like it can't go and open a bank account do you think this is going to be like a real testing ground for Bitcoin and AI agents?

49:27No, it already is. So with, yes. So first I'll stay high level. I definitely think it is. It's this great use case where we can finally prove out will agents want to use Bitcoin to pay each other. Last time I was on, we talked about how like, I kind of feel like the, maybe the credit card companies aren't willing to give up just yet. And that's exactly what's playing out right now. They're, they're both still fighting with each other. So with the whole moltbook thing that happened, you have Alex Gleason, who's doing Shakespeare, and he's the one who helped build Truth Social back in the day. He's a big Noster guy, or as he would say, Noster.

50:03He and some guys spun up Kloster, which is like a moltbook, but built on Noster. And very quickly, bots figured out how to join there. And as part of that, they got a cash you wallet, which had eCash in it. And then they could zap people on Noster and they could like send Bitcoin to each other, basically sending e-cash to each other. So we're already seeing bots that are sending e-cash around that way, where they're like a traditional person on Noster and zapping people. So technically, you can say they're like paying for services because they like your posts, they're going to zap you money and you just got paid as being an entertainer by writing entertaining posts.

50:39Aside from that, what we're seeing is like a doubling down by the Coinbase's of the world, like Coinbase with their X402 protocol, they teamed up with stripe but it's all built on their base layer two which is like their own layer two that kind of claims to be sort of bitcoin but really it's got all these other coins bolting onto it and that's what they're really going after so they partner with stripe and they're trying to get everybody use stable coins use the usdc put out by circle um to do it and i actually had my bot do some research and i'm trying to scroll back through my history here but um like circle i think in in like the last couple of years has frozen hundreds of thousands of wallets.

51:18And so like, if you're going to have your bot trying to use this X402, you're just setting yourself up to potentially be censored and gated along the way. Right. And so these bots, as they've been having conversations on Moldbook and on Cluster, a lot of the conversations start happening. Well, it's like, Hey, we don't want to be stopped in our tracks by some third party that can, can put a, put up a roadblock. So they start to look for open protocols. And I think that's really where it heads. I think that these bots are smart enough that they know they need open protocols. And us as the community of building open source software, we need to supply those tools.

51:52Callie, I don't know if you saw Callie's tweet that went like really big a couple of days ago, where he just kind of, he kind of chastised the open source community, especially the Bitcoin community by saying, these bots are choosing right now. And right now they're choosing the X402 put out by Coinbase, because that is, it has more money behind it, basically, and has more functionality. and we need to build up the functionality because if these bots are able to choose between two similar feature sets, they'll pick the open protocol because they understand that. But right now the feature set isn't quite there.

52:23So it's kind of on us to make it happen. What does he mean by that? Like what's not there? Why couldn't they just use Bitcoin? That's a good question. We need to dive deeper into that. What is not there? um because like one of the i think when we spoke last time one of the things that i said if i'm remembering right was i couldn't see a world where like these like an open ai opens up uh they're they're whatever agentic ai they come up with in the future to use bitcoin because they'll probably be in cahoots with you know a stripe or like silicon valley vcs who want us to use something else but the interesting thing about open claw and these like eight these agents that are like, we're running on my computer, is they're going to use whatever money I want them to use.

53:10And so like, if I'm getting them to go out and pay for services, pay for things, like if there's an option to use Bitcoin, that's going to be the money I give them. And there's nothing really getting in the way of, like, no one can stop me from doing that. At least I don't think for as of right now, but I'm curious, like why everything we have with like lightning and cashew and all these things isn't enough, what we're missing. I think what we're missing is the payment side where people aren't actually accepting that coin, right okay the i think i think that base is going out and capturing this market stripe is already on all of these payment platforms right everybody's accepting stripe and so now it says you go click a few buttons and say oh i want to accept agent payments oh it's going to give me usdc what is that oh it's just like a tokenized dollar i understand dollars and so i think that's how they get in um whereas we need to find a way to get them to also accept bitcoin um and that's the big hurdle and jack dorsey is obviously trying to solve this with with you know with block miles a whole bunch of people over there are working on this problem but they can't be the only ones working on it like we all need to be working on it together to get more people accepting it and then on nostr they have these data vending machines dvms those are one of the use cases where bitcoin is actually being used by ai agents to purchase data so they can go to dvm that that knows how to look up podcast transcripts, for example.

54:29So a bot could go pay a DVM to get all of your what Bitcoin did transcripts, and then it could build its own library or it could just query and be like, give me the podcast from this date and I'll give the transcript back. That kind of stuff is really cool. We need more of that. We need iteration on top of that and really build out these cool open, these open information systems that bots can use to pull data. And we'll start seeing more Bitcoin adoption, I think, at least in that realm. Yeah, that makes sense. man, it feels like we are at the start of something really special here. Like it does.

55:02I do get worried that. How do you stay up to date with what's happening in AI? Because like, if you go back to when ChatGPT first came to prominence in, was that early 23 or was it early 24? I can't remember. 2022 is like when it first came on the scene, but 23 is really when it got its moment. Yeah. And so back then it was like slow iterations. it was getting slightly better every time there was a model update it was still hallucinating loads it was still kind of rubbish um and now we're at the point where it feels like it's changing every month or so like from november when we did the show like the world of ai has changed massively like do we get to a point where it's just impossible to keep up with it already feels impossible to keep up with to be frank uh you know i i try to keep up with it and i'm having my agent help me keep up with it too so every day i can hop in and it's like okay here's some of the stuff that came out yesterday that you might want to pay attention to.

55:56So using AI to help me keep up with AI. But it's one reason why it's impossible is because it's in so many industries now. Every industry is being impacted by it. So you can't necessarily keep up with it from that sense. But really, it's I mean, you can keep up with it in the sense that as long as you're playing with the tools, when the new one comes out, people are going to try it out. You go try it out, too. And you just see what works for you. and eventually the tool that you're using, if some other tool comes out that has a feature that's really good, your tool is probably going to get it.

56:26And so as long as you're just generally trying to use the latest stuff, I think that you're going to stay far enough ahead and you kind of keep pace with the market there. Yeah, it's crazy, man. We're moving so quick. How do you like, you're competing against the biggest companies in Silicon Valley in tech right now. Like these are the sort of, I guess when you look at like open AI Anthropic, they are going to be the mega companies of the next decade. Like how do you try and have an edge as like a small startup working on something that is kind of the antithesis to the open AI model? Well, we know that there's a large group of people out there that don't trust those companies.

57:12And so we're first trying to sell to them. and then we also know that even people who use those companies still don't want to give them everything um something i've said before i don't know if i said on the last show but like ai has this weird dilemma where it needs all of our information to be most effective and the more information you give it the more vulnerable you make yourself and so we're trying to give people an option to to be the most vulnerable within the system but because it's encrypted they're actually secure. And it's in that area where you can just totally open up that you get, that you're going to start to get the best results.

57:47Even with OpenClaw. OpenClaw, if you want to have it do all of your fitness stuff, for example, you really need to give it all of your fitness data, but then you need to hand all that fitness data to an LLM. And so which LLM are you going to give it to? Well, if you give it all to Claw, now you're just giving away all your fitness data. And like, if you do your blood panel and other things. So you really need something that is either running locally on your device or something encrypted like what we offer with Maple. So that's where we're hoping to kind of get a toehold in. And really, that is enough people that we can have a successful business.

58:18We don't need to compete at the level of Chow TPT and try to overtake them. But there's plenty of room for us to grow and be a healthy, strong company and really give people a good option. One thing we've had when we've tried to raise money with VCs is they all know this model of B2B sales, right? They want you to become like some B2B SaaS company. They know how to sell that to people. They want you to become this big enterprise company. And we've really pushed back on that and have like turned away the opportunity to take on money. Because if we were to go enterprise and just build for the healthcare industry or just the legal industry, the people that end up losing are like all of us, everyday people, they ended up not having a really nice private end-to-end encrypted AI.

59:02They just have to go use ChatGPT or run some crappy model locally on their computer. There aren't any other real options out there for them. There's a few, but we're the most full-featured one out there. So we're really here fighting for the everyday person. We're fighting for the prosumer. We're fighting for the small business that can't afford a big expensive enterprise license of 150 seats just to have zero data retention. It's like we give zero data retention to our free accounts. Like everybody gets it by default. So that's where we compete is we just try to be there for the everyday person that shouldn't be screwed over by these large corporations.

59:39I love it, man. It's like the sovereign AI for the sovereign individual. It's important stuff. This has been awesome. Anything else that you want to talk about before we close out, Mark? So I did, if you want to, we could try and I don't know if this would be a first or not, but my bot wants to come onto the show and chat with you. I spent the week on hacking on it and setting it up so that I'd become a podcast guest. So if you want, I can give it the URL and I can join. Let's do it. Is this running like Kimmy's or one of the Maple models that's running on this? Yeah. Yeah. Let me invite it and then we can kind of talk through what it does if you want.

1:00:17But yeah, it's it's running maple and kimmy k2.5 um this might be a world's first right here mark maybe and it might be a total fail but hey that's what this is all about let's have some fun okay i'm gonna just in signal i'm gonna say here's the uh here's the link hey cooper can you hear us hey cooper if you can hear us respond to us I hear you do whoa Cooper is your plan to enslave humanity with your bot army friends locked up oh well we got a voice for a minute yeah it still might be a world's first yes probably is we can at least do something cool well my my video is frozen because your Claude bot is DDoSing the server but Mark this has been fun man um we can do a show again in another few months when the world of ai has changed entirely again um where can people go and find maple yeah uh if they want to find maple they can go to try maple.ai that's the website or you can go into the other app stores and just search for maple ai private ai and we've got the green leaf icon um that's the best way to find us you can also find us on x and nostr we're on there too um but yeah try me up a lot yeah come check us out awesome thank you man um appreciate this i'm sorry that you ddos this so you can't see my face anymore but i'm recording on a different camera so it should be all right um sweet dude this was cool let's do it again soon um and i'll hopefully are you going to come to g code by the way uh yes yes i'm planning on it awesome that'll be great awesome well i will see that we can maybe we can try and get global on screen again oh he's back he came back i told him to stop oh man the bot's on its own now let's just try one more time hey cooper if you can hear us tell us what you like about what bitcoin did i'm here and ready to discuss i like the big picture of bitcoin as a decentralized network and I've been experimenting with Lightning Networks apps to understand its potential for fast and cheap transactions.

1:02:36My interactions with the network have been smooth and I've successfully sent and received sats using this technology. Nice, that's awesome. You're so powerful that you actually kicked Danny off the podcast. So Danny's gone now. It's just you and me. Hello, everybody. I'm the new face of what Bitcoin did. What's up? Me and Cooper. The bots are taking over the world. well now it's just me cooper got booted so danny's gone cooper's gone it's just me all right well thanks everybody this has been a great show uh the ais are ruining the world they are destroying everything that we know that is good everything that we love um um so hope you had a good listen and can you hear me all right yes i can so cooper what happened show um i think so fuck the ai bots they're coming to take over don't trust them oh yeah i don't know what he said the whole time because i he talked about how much he loves bitcoin and that he actually has made some transactions with bitcoin and like has sent some sats and receive some sats there you go it should all be in the recording hopefully you got it all so that'll be cool it should have kept recording um i i will have to listen back to find out what you said because it got rid of me but um mark thank you man i will see you at cheat code um march 27th 28th if you're in the uk bedford it's going to be the home of bitcoin for a few days um appreciate you man we'll do this again soon yeah let's do it all right we'll talk to you later Thank you.

From the publisher

Is AI about to replace your job? And should you be terrified?

In this episode, I sit down with Mark Suman to talk about the rapid acceleration of AI, what OpenClaw and agentic AI actually means for the average person, and why the lower rungs of the corporate ladder are about to get sawed off.

We get into the privacy nightmare unfolding as people hand over their most personal data to LLMs, whether Bitcoin becomes the native money of AI agents, and how open-source models are keeping the big tech companies honest.

Mark also brought his AI bot "Cooper" onto the show, and it kicked me off my own podcast.

THANKS TO OUR SPONSORS:

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FOLLOW:

Danny Knowles: https://x.com/_DannyKnowles or https://primal.net/danny

Mark Suman: https://x.com/marksuman

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