Key Takeaways


AI coding tools went from useful to genuinely good in the last three months, and single individuals can now ship products that previously required specialist teams, OpenClaw and Bit Chat were each built by one person. Calle unveiled NUMOpay, a tap-to-pay Bitcoin system using Cashew eCash over NFC that works offline for the payer, offers privacy by default, requires no KYC, and is already supported by six or seven Cashew wallets with BTC Pay Server integration coming soon. Auto-withdrawal thresholds let merchants limit custodial risk from eCash mints. On the agentic payments front, every stablecoin is permissioned and can be turned off, making Bitcoin and eCash the only internet-native, KYC-free options for machine-to-machine payments. The manual craft of coding matters less now, taste, vision, communication, and motivation are the new scarce resources, and the biggest obstacle to building is no longer skill but willpower.

Best Quotes

"If you're a software developer today and you're not using AI, I'm willing to put money on the table that you will lose your job in 5 years."

"When I first discovered OpenClaw, I had like two or three sleepless nights trying to process what this means. It's like this ChatGPT moment again."

"Previously the biggest obstacle was skill. Today it's not anymore. It's about who's motivated."

"Every stablecoin is permissioned. All of them can be turned off if they don't like your digital ID."

"No one else is doing it. There is no one except this circle of people trying to counteract the massive growth of surveillance technology and centralized control."

Conclusion

Calle's message is clear: the tools are here, the playing field is leveling, and the only thing standing between a motivated Bitcoiner and shipping real products is willpower. NUMOpay represents the kind of leap that happens when deep protocol knowledge meets AI-accelerated development, tap-to-pay Bitcoin with privacy that rivals or beats anything in fiat. The window for Bitcoin to win agentic payments and merchant adoption is open right now, but it won't stay open forever. The race has started and Bitcoiners need to show up.

Timestamps

0:00 - Intro

0:38 - Catching Up With Calle

12:10 - OpenClaw And The Personal Agent Revolution

20:19 - Running A $200k DevOps Engineer For Free

23:30 - BitChat

27:27 - Using For Evil

22:09 - How To Approach

41:17 - Numo Tap-To-Pay

51:04 - Wallet And Merchant Adoption

56:13 - eCash For AI Agents

1:03:57 - The Future Of Human Creativity

Transcript

(00:00) If you're a software developer today and you're not using AI, I'm willing to put money on the table that you will lose your job in 5 years. I am 99% sure this is what going to happen to most people if they don't adopt this technology. When I first discovered open call, almost like two or three sleepless nights trying to process what this means cuz it's like this chat GPT moment again.

(00:19) Everyone will have this in one year. Sup freaks. Before we get into the show, I just want to send a heartfelt thank you. Thank you for joining us and ask for one quick thing. Could you like this episode, subscribe to the channel, and if you like the conversation, join us in the comment section. Calle, it's been uh a year and a month almost exactly to the date since we published uh our last podcast where we met in person in the jungle and a lot has happened since then.

(00:52) How have you been, sir? >> Oh, yeah. I've been I've been doing great. And wow, that's been a year and over a year. That's crazy. Um I wish we were in the jungle again, though. So I mean, looking out at uh 20 ines of snow, uh the jungle is much preferred to this. But for anybody who's listening who didn't catch that first episode, doesn't know who Cali is.

(01:15) I'd be surprised if you don't. Cali is one of the most prolific and active individual builders in the Bitcoin and freedom tech ecosystem. uh working on Bitcoin uh the Cashew eCash protocol, Bit Chat, uh Clawi, AI, and other opensource dev projects. You've got a PhD in physics. And I mean, I've been following the sparse podcasts you've been doing throughout the year.

(01:43) I think you were on Citadel Dispatch summer of last year. uh and you were talking about this proliferation of AI tools and how vibe coding helped you build the Android app for Bit Chat that has blown up. We'll talk about Bit Chat, but I think >> um focusing in on what's happening now uh with Clawi AI and basically you launching agents to help you do your work.

(02:08) You tweeted yesterday about a DevOps engineer that you launched that would typically cost $200,000, but you have it running autonomously 247. What uh what's going on? >> Yeah, I I I don't know what's going on that I I strongly believe that no one does where we're heading and it really feels like everything that we're doing right now is something that hasn't been done before.

(02:37) So we are like 100% in discovery or uh in in in a discovery mode or in a pioneer mode where you know any new idea on the table is basically is is is probably the first time that someone tries it out as you made some examples like I've been um focusing a lot on AI agents recently particularly focusing on open claw and I like it a lot and try to make it as useful as possible and try to figure out ways how to integrate it into the projects that I'm working on to be more effective, more cost effective and faster, ship more and higher quality code. Uh but

(03:19) we'll be talking about that I'm sure in this part in more detail. Yeah, I think I mean just dive into like how prolific this is for you. Somebody who actually understands like I was saying just before we hit record, I'm having some sleepless nights pushing my open claw agent uh to the edges and I barely know what I'm doing from the systems admin backend engineering programming >> perspective at all and I can't imagine what it's like for you.

(03:57) um and in terms of like productivity wise and what you're able to do, what's what um how profound has it been for you? >> Well, everything has completely changed and I would have never thought that I would be able to say that in my uh like programmer career. So, like many people, I've been programming for decades at this point.

(04:18) And so I I consider myself like a professional developer with lots of experience and and probably everyone has noticed by now that the work of being a programmer has flipped by like 180°. It has changed in a way that no one would have predicted even only two years ago maybe. So in the last one or two years maybe we'll start a little earlier.

(04:47) So the way I see this in my mind is we have multiple stages of innovation in AI with regard to uh LLMs and agents. So level one was using an LLM in a browser chat GPT. That was the most pivotal moment in AI history so to speak when you're think when you think about how actual normal people interface and interact with AI that was the biggest moment.

(05:15) And I think also up to date uh comparing to the penetration speed of other technologies it has been the fastest growing and fastest adopted technology in history was chat GPT. So um it has conquered the entire world and that's level one. You open a browser, you ask a question, you get a response. And we've been, you know, doing that uh for a year or two and also programmers started noticing quite fast that you can copy code from your codebase and put it into chat GPT, ask a few questions, get some code back and put it back into your

(05:49) codebase. So there were many manual steps uh still involved when doing development work using AI. And um so after level one we reached level two around um maybe one and a half years ago which is the introduction of agents and agents finally gave the LLMs that were previously confined in the browser um gave them kind of legs and arms to act on your computer.

(06:22) So that is for example cloud code is probably the most uh popular one and then there's codeex and so on from chat jeep from from openai what I use the most is open code which is a llm agnostic framework uh fully open source really high quality project so um that is most of the code that I write today goes through these tools so um and now I'm talking to other software engineers all the time about this and it's it's very fascinating to see what people think about this and how they perceive their their job changing over time and you have like you have a small

(07:02) portion what feels like 10 to 20% of developers resisting the change and they they don't like AI and they think it's it's fallible and it's not as good as they are and then you have this way larger percentage of developers who use it and try to increase their productivity. And um and what I see is you know those who value the manual aspect of coding and I compare them to artisans.

(07:38) So people who take pride in uh having done the work themselves and also enjoy the process of doing so and see some mastery in it or try to perfect their mastery and skills in it. um have a harder time giving up the job to an AI whereas and then there is kind of like the opposite of that is prolific coders who've been in the business for decades at this point who notice that they can increase their output by and I'm not exaggerating when I'm saying like five to 10x um which is you know if you are confronted with an efficiency boost of 5 to 10x then

(08:17) it's really really hard to say no. And the only good reason that remains to say no is extreme safety. So you're dealing with Bitcoin for example and you're not going to have a machine just write all the code for you that deals with money or you're in like an um you know industrial uh sector where it's