This Week in Startups - The 5-Step Framework for AI Agents That Improve While You Sleep | E2269

Episode Date: March 31, 2026

This Week In Startups is made possible by:Quo - https://quo.com/TWiSTLinkedIn Jobs - https://LinkedIn.com/twistIru - https://iru.com/twistPlaud - https://Plaud.ai/twistToday’s show:Google project ma...nager Shubham Saboo is running 6 AI agents on a Mac Mini that handle all of his side business autonomously, from research, to social posts, to newsletters.He joins Jason and Lon to walk us through his 5-step framework for designing an efficient AI agent team:Start with one agent and onboard them like a new hireStop Googling fixes; just ask your agent how to use itPut your agents on fixed schedulesAdd shared memory so you don’t have to repeat yourselfLet agents run self-reviews and rewrite their own instructions.Get the walkthrough to put this entire plan into practice on today’s episode. PLUS fresh demos of the “Minecraft”-inspired virtual workspace MoltWorld and AgentMail, which is Gmail for your AI pals, and Jason explains the thinking behind his viral, controversy-stirring “don’t talk to journalists” tweet.Follow Shubham: https://x.com/Saboo_Shubham_“How I Built an Autonomous AI Agent Team That Runs 24/7” on X: https://x.com/Saboo_Shubham_/status/2022014147450614038?s=20Follow Mike: https://x.com/mihalich1988MoltWorld: https://moltworld.io/Follow Haakam: https://x.com/haakamaujlaAgentMail: https://www.agentmail.to/Jason’s post about talking to journalists: https://x.com/Jason/status/2037573025458016659NYT responds: https://x.com/NYTimesPR/status/2037648223771263082Translated Japanese tweets: https://x.com/melonneet40/status/2038020624015315289, https://x.com/rambling_28/status/2038041455999246422Japanese people singing “Country Roads”: https://x.com/harukaawake/status/2038081269830222259Trailer for “Nuremberg” (now on Netflix in the US): https://www.youtube.com/watch?v=WvAy9C-bipYTimestamps:0:00 Intro1:24 Plaud: If your work depends on conversations — interviews, meetings, calls — you need a Plaud NotePin. You can check it out at https://Plaud.ai/twist and use code TWIST for 10% off!3:05 We're Claw-pilled once again; it's an all AI Agent showcase6:15 Google AI PM Shubham Saboo's Top 5 OpenClaw tips10:14 Quo (formerly OpenPhone) gives you a clean, modern way to handle every customer call, text, and thread all in one place. Try it free at https://quo.com/TWiST.13:26 Tip #1 — Onboard your agent like a new hire17:31 Tip #2 — Talk to your agents constantly19:02 Tip #3 — Put your agents on a schedule19:51 LinkedIn Jobs - Hire right, the first time. Post your first job and get $100 off towards your job post at https://LinkedIn.com/twist.23:41 Tip #4 — Add cross-agent memory29:33 Tip #5 — Let your agents self-improve29:51 Iru unifies identity, endpoint security, and compliance into one platform. TWiST listeners get 20% off when they book a demo at https://iru.com/twist!34:03 Why Jason says founders should avoid journalists38:24 How biased IS the New York Times?47:02 DEMO: Co-founder Mike Nosov shows us MoltWorld51:14 But what's the utility of this?1:05:15 DEMO: Haakam Aujla presents AgentMail (YC S25)1:09:59 How does AgentMail make money?1:17:03 How Grok Translations are creating cross-cultural dialogue on XSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisCheck out all our partner offers: https://partners.launch.co/Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason’s suite of newsletters: https://substack.com/@calacanis

Transcript
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Starting point is 00:00:00 All right, everybody, welcome back to this weekend startups. It's Twist for March 30th. Happy birthday to my twins. And it is, they're 10 years old. We had their party this weekend. And I'm in Brooklyn. I'm in Brooklyn. I came to see my dad.
Starting point is 00:00:13 Clearly. Yeah. As you can see from the Brooklyn Bridge. My dad's been a little bit sick, so I came into spend some time with him. That's nice. See the fan. See John the Beer. That is not a live shot of Brooklyn behind you.
Starting point is 00:00:24 I call shenanigans on this. Okay. Well, yes. It's the wrong time of day, sir. It's the wrong time. I mean, it's a time zone. I think Texas is, what, like eight hours behind? Yeah, it's like Tokyo.
Starting point is 00:00:34 Yeah, it's like eight hours, yeah. This week in startups is brought to you by Eru. Unify your identity, endpoint security, and compliance into a single platform. Twist listeners get 20% off when they book a demo at iru.com slash twist. That's I-R-U.com slash twist. LinkedIn jobs. Higher right, the first time. Post your first job and get $100 off towards your job post
Starting point is 00:01:01 at LinkedIn.com slash twist. And Quo, founders move fast. Their phone systems should too. Quo, formerly open phone, gives you a clean, modern way to handle every customer call, text, and thread in one place. Try it free at Quo.com slash twist. That's QUO.com slash twist. All right, we got a big show today, but before we get started, it's, this is what we do.
Starting point is 00:01:28 We get ready for the show, and I applaud, plod by pressing my pin like, We are in Star Trek. And it really is kind of like Star Trek. One of the things I wanted to do was I wanted to interview my dad. I'm trying to convince my dad to let me interview him. So I could write like a, you know, short story about him or something, you know, down the road. And, you know, he's an old school guy. So I was like, well, my story's been told.
Starting point is 00:01:53 I don't know. But I was like, okay, well, I got this plod pin. I just want to talk to you. Like maybe we could carve out an hour or two to just talk about your childhood or whatever. I don't know. You got to capture those memories. Once people are gone, those stories are gone. I feel this with my grandparents all the time,
Starting point is 00:02:10 that I wish I'd gotten more of their old stories, because now they're gone. I'll never be able to ask them about the old days. And I bet you somewhere in the Plaud templates is archivists or family archivist or storytelling templates. If there isn't, we could write one. And that's the beauty of plod. And they're a partner of ours,
Starting point is 00:02:28 and they're sponsoring today's live stream. Go check out. applaud. There's a pin. There's a magsafe adapter that goes on the back of your iPhone or if you've got any other magsafe. Yeah. It is extraordinary. It's changed my life. It's privacy first. So you see the red lights on. And it's changed along's life. Even Alex loves it now. He's getting into it. It's great. It's not just recording, but it understands the context. I mean, I think that would be great. Why it be good for what you're talking about. It would not only capture your dad's story, but his tone, his personality, his voice. It's really, it's, it's,
Starting point is 00:03:01 you know, it's good for the contextual understanding of what's being said. And, you know, I think these things are going to keep getting better and better. I have a feature item I want for plot. I want applaud because it is independent of your device. If you have your phone in the charger and you walk to the kitchen and you want to, you know, do like a quick session or something, you know, with a colleague in the corporate kitchen, you can just press it and record it. Yeah.
Starting point is 00:03:24 I wanted to have, I wanted to pair with its own proprietary earpiece to give like feedback or I could ask it questions back and forth, and then eventually have a local language model on it and have it connect to Wi-Fi. I don't know if you knew this, but if you put it in the cradle, this is like a power user feature. If you put it in the cradle, it will sink over Wi-Fi for you. Yes, I did know that. You know that? Okay.
Starting point is 00:03:48 It's like a little secret feature because I was like, you know, this one is this thing. Yeah, I'd like this thing to automatically sink and like the perfect time to do that when I put it in the cradle. What's the URL? Help me out here for a special offer. Oh, sure. I'm going to keep talking to you give us the print. I understand now.
Starting point is 00:04:04 So you want to check it out at plod.a.ai slash twist. That's p-l-a-u-d.a-u-d-a-i-slash-twist. You want to use the code twist for 10% off of your Claude-Pin. All right. So it is AO after OpenClawe. We stop keeping track. We got to be close to the 60s. Yeah, we're in the 60.
Starting point is 00:04:23 We'll just go at 60 for today. OpenClaw is a transformational product. that allows you to have an agent. And that agent, you can give it access to everything. You can give it its own computer. You can give it its own Gmail address, Notion. And a lot of folks are now amping up their products and services. I noticed Claude.
Starting point is 00:04:43 I noticed at Claude added specifically skills. Yes. So you can add a skill to Claude co-work now. So this is such an impressive product and an open source project that our friend Dave Morin has been pursuing. And I think it's really, important for us to keep the open source train moving. So I'm going to keep talking about open claw, but I'm actually delighted to see that the innovations in there, specifically
Starting point is 00:05:07 skills, have made their way into other products that we love. Perplexity computer, I think, has added skills. And I just noticed Claude, if you hit slash skill, it will let you put a skill in. And then you can copy and paste the skills from one to another. One of the skills you and I created that was super helpful to us and is obviously doing guest research. Great. Right. Yes. Another skill is, hey, what are the best practices around thumbnails and subject lines, like social media best practices for YouTube, whatever? So now we have that skill. I have a skill for tell me what the person's done, like a check-in report, like a management tool, CIR.
Starting point is 00:05:44 So I could say check-in report for Lon three, and it'll tell me the last three days of what lawn worked on. In other words, the weekend. And he'll see he takes a full Sunday off. He maybe checks him once in a while, but he tries to keep that Sunday nice and tight. I try to keep my Sunday. I work a lot on Saturdays, I feel like. You put in some time on Saturdays, which I appreciate it.
Starting point is 00:06:00 Yeah. But it will tell me all the g-mails, notions, Zoom's meetings, anyway. We thought we'd step back a step today, have a guest on who's extremely good at OpenClawe. Just go through their top five OpenClaw tips. So it's not just us repeating our tips over and over again. So let's introduce our guest and get to work. Yeah, we're very pleased to welcome. He's a senior AI product manager at Google, but he came to our attention because he's been posting
Starting point is 00:06:26 incredible open-claw tips on X, a lot of great X articles, including one that I bookmarked called How I Built an Autonomous AI Agent Team that runs 24-7. Please welcome Shubam Sabu to the show. Shubam, thanks for being here. Thank you, Jason. Thank you, Lon, for having me. Yeah, welcome. Yes, super excited to talk about OpenClaw.
Starting point is 00:06:46 I've been running OpenClau for the last two months. Today, it is a team of six agents running on my Mac Mini. They pretty much automate everything that I do outside Google. So quick context for the viewers and for you, Jason and Lon. Outside Google, I started an awesome LLM apps repo, which was an open source LLM apps plus agent templates for users to build on top of. So they can just use those templates built on top of. That rep across 100,000 stars. And it was such a pain to manage a single person's side job.
Starting point is 00:07:19 Apart from that, I have newsletters and whatever I learn with these two goes on my social media. So that would take hours and hours of my time outside Google. So it's pretty much working like 20 hours or 18 to 20 hours before Google. Then I came across this thing called OpenClaw. I did not use it for 15, 20 days since its launch. And then I see it popping up on Twitter, X and LinkedIn and Reddit everywhere. I was like, I have to try this thing. Like what is this thing?
Starting point is 00:07:50 I install it. And first of all, for viewers, listening, you don't really need a Mac Mini to install OpenClaw, but I am super concerned about my security. I keep these things seriously, so I didn't want it to install it on my personal machine as like $500 is worth an investment. I got a Mac Mini. Can I jump in here and ask? Because we have our OpenClaw agents running in an AWS EC2 instance. And I do, I have to say, I feel like it's holding me back. I feel like I encounter a lot of like, oh, I can't go. to that website, oh, I'm getting blocked, I can't look at that video, oh, my email doesn't work
Starting point is 00:08:29 right because it's, because of the limitations of that. So how big of a whole thing holding me back is that? And is it really like preferable to have it in its own Mac Mini or some other solution? So it does not really need to be its own Mac Mini, but what I recommend and what I've seen after talking to a lot of individuals is having OpenClaw running on a clean slate or a clean machine really helps because what you're trying to do here is trying to give agent its own identity, personality, so you really want that agent to have its home as well. Just like lawn, you could live in a rented apartment, but you would really prefer to have your own home, right? Autonomy, privacy, you can do whatever you want. So when you give OpenClaw a clean machine, be it a Mac Mini or a local,
Starting point is 00:09:16 or your old computer, you can just leave it autonomously running and doing like changing files and using websites, attaching it to Chrome, using browser. So that kind of flexibility comes with a machine which you typically won't get in sandbox environment. So they have its limitation. But people starting out, you can just start in $5 or $10 subscription, just run it in sandbox environment, so you really don't need to buy a MacMoney.
Starting point is 00:09:40 That's the first step. But once you get clawpile, then you would really want to have a MacMany because that's the cleanest user experience you would have. So I've been doing that. And when I install open claw, I just realized like it is super simple to install. It is just like installing open claw, selecting models, giving them tools, going through certain steps. And by the end of it, you just have your first agent running.
Starting point is 00:10:05 Like, and it comes with a UI along with the terminal. So you can just go in the browser, open the dashboard, and you can see your first agent running. And that's how it started. It's springtime, folks. And that means it's time for spring cleaning, but not just for your house, but all those messy parts of your business. And that's why today's episode is brought to you by Quo, the smartest way to run your business communications. Even the most attentive and professional team members, well, they're just human. And sometimes we miss a phone call. That's why more than 90,000
Starting point is 00:10:35 businesses rely on Quo to stay connected and consistently reachable. That's because your entire team uses the same number. There's no more slip-ups or people using their personal phone numbers and then they leave the company and you lose the entire history of the customer. and your partner. Plus, Quo has AI that automatically logs, generates summaries, and recommends next steps for your calls. So make this the season when no opportunity and no customer slips away. Try Quo for free. Plus, get 20% off your first six months when you go to Quo.com slash twist. That's QUO.com slash TWIST. Quo. No missed calls and no missed customers. And when I was starting out, I see people naming their open claw agents randomly like,
Starting point is 00:11:20 Sam or Holly or Molly and all those things. It's like, it is very difficult for me. Like, okay, it's good for one agent. I could remember it. But I was like, maybe let me just name my agents after my favorite TV characters. So I started naming them after my favorite characters from friends and the office. And after a while I realized, while I was doing it unknowingly, it really makes a very good mental model. So I started with my first.
Starting point is 00:11:48 By having personas. Personas create a mental model. So this person's a producer, this person's a fact checker, this person's an engineer, this person's a researcher, this person's an accountant. That does help humans figure this out. But then there's the Ultron model, which we've talked about here, is like having one have all the skills. And that's an ongoing debate. And I think we've all come to the conclusion lawn that it's fine to start with multiple agents
Starting point is 00:12:16 and coordinate them. It's also fine to try to have one super agent. You'll hit roadblocks in terms of how often you're using them. I think that becomes the key blocker, yes? Yeah, that's 100% right, Jason. So I never recommend people. So people see all these flashy screenshots on X where people share, okay, I've been running six agent team or eight agent team
Starting point is 00:12:38 or I have like 12 agents running in the background. I never recommend people to start from there. Start with one agent and make your way up by talking to your agent. Like, that's the best thing that OpenClaw has done. So you really don't need to be a technical expert or you don't need to have, be a coding Ninja to like run these agents, deploy them or make multiple agents out of it. So I started with this main agent. I named her after Monica because Monica is known to run a tight chip.
Starting point is 00:13:04 She handles the operation, all those things very well. And I started talking to Monica, Monica. So like, here's tip one. So when you are starting with open clock. So this is tip number one of your five tips. Yes. When people start with Open Club and people start with their first agent, because of all the hype that's created and that brings people into this, people think, okay, installing is the only thing I need and then I just start chatting with my agent and the agent can do whatever I want. That's not how it works.
Starting point is 00:13:31 So I've seen people operating in like too extreme. Some people just like directly get in without giving any context. So you really need to tell your agent about yourself, what you wanted to do. Think of it like onboarding a real employee or an intern. So you do not onboard them by not telling them anything. You don't onboard them by telling them nothing. Also, you don't just bombard them with all the company information on day one. So you don't just like dump files and files of content.
Starting point is 00:14:01 Don't just give them like, here are like 10 folders. Figure this out yourself. So people are operating in two extremes. And both of them end up in a disappointed. shape or form and then they're like oh this open-cloth thing it was so hyped up and it is not working it's like either you don't give it any context or you're just dumping it with a lot and a lot of context because at the end of it it's the model which has limitations if you dump it with a lot of context it will do a context float if you don't tell them anything it will just give you a
Starting point is 00:14:30 generalist result so you have to be so example of this example of this good context to give it and then overwhelming it good context will be just like how you onboard uh inter You would tell them who you are, what the company is, what the company does. You point them towards the right links. You tell them specifically, this is your job. This is what I want you to do. Just like Jason, you were mentoring, right, at the start of. Like onboarding and employee.
Starting point is 00:14:55 Yeah, yeah. You were really specific. Lon, I want you to do this. And Jacob, I want you to do that. So you need to be very specific. You can't just say, Jason, okay, Lon, Jason, figure out what went wrong and just do everything. You were very specific in your direction. So you need to have that kind of direction.
Starting point is 00:15:10 and that's the right context. Have you done that, by the way, Lon on yours, on Gaff? Have you done that? Yes. In fact, we had another guest on Jordy Coltman. You remember this was during the very early days of Open Claw. And his recommendation was you have your agent interview you and then base its sole MD file on that interview. So I actually had a whole like 20 minute conversation with Gaff where I explained the show and how I'm going to use them and what kind of other tools I'm using.
Starting point is 00:15:39 and that really informed our whole relationship moving forward to there. So, yeah, I think this is super important because without that context, your agent doesn't know what you're looking for. Exactly. I actually just saw a skill that I will find and post here where actually you set up your agent so that it always interviews you before a new task because the theory is when you just tell an agent to do something, it's going to get like 70, 80 percent of the way that you of where you wanted it to go.
Starting point is 00:16:09 But it won't get that 100% because it's guessing on a few things. And so what the interview idea is, is if your agent chats with you beforehand, asks all of its questions, it doesn't have to guess, and you'll get a lot closer to 100% on the first try, which is an interesting idea. And should all that become part of their soul or part of their memory in your mind? That's a very good question, Jason. And here is the interesting answer. So I did not tell Monica where to put all the information that I'm sharing with,
Starting point is 00:16:39 I shared what I want her to do. I shared about me. And she figured out what to put in her soul. She figured out that she should create a user.md to put the information about me. She figured out what will go in her identity file. So this is taking us as close to managing a human or as close as mimicking a human experience, which was super interesting and insightful thing when I used OpenClaw. And by default, the way with the new updates coming in, by different,
Starting point is 00:17:09 it is going in that direction along which you're talking about. So when you throw in something at OpenClaw, it asks you a follow, some follow-up question, and then it goes from there. And then it automatically figures out where this information goes in what file. We'll come to memory in a page JSON, but this is when you start,
Starting point is 00:17:28 like this is how you set up your first agent, giving the right context, agent figures out itself, and all you're doing is talking to your agent. And that leads us into tip two, or the productivity tip too because all these lea tips will build on themselves following a specific user journey when you start
Starting point is 00:17:47 like how you start and how you evolve your agents into something towards the end of it we'll get to an agent team which self-evolved self-run without keeping you or without you being the barrier to that like you don't have to like jason just like you came in and you told uh lawn and uh chik up okay this needs to fix You don't need to tell them. What if it gets automated?
Starting point is 00:18:10 What if they could just keep doing it themselves? Similarly, what if agents can just figure out, okay, these things are breaking? Go back and just do a recap of what went wrong and figure out a fix, update their instructions based on that. So we'll go from here to there. So the top five so far, we got start with just one agent and onboard it like a new hire. And then tip number two, you just got to talk to your. agent, don't worry. Sometimes, I will say my agent will try to be open up your terminal and do this and that, and I always shut him down. No, Gaff, you got to do it. Learn how to do this yourself. Now,
Starting point is 00:18:47 we're moving on. What is topic number three? We've got to talk about Cron schedules. We talked about setting up your first agent. We talked about the value of talking to your agents, but still, you are still in proactive role. Like, you are prompting agents to do something. You are still asking agents to do something. But the real value comes from, you. agents being autonomous? Can agents do something without you even having to ask them to do something first? So can they do something while you sleep? Can they do something without you prompting them? That's where heartbeat or cron schedules come in. That's one of the best thing that Openclaw has introduced. Now, I can just put my agents on a cron schedule. So I have this agent called Twight,
Starting point is 00:19:33 Dwight shoot from office. He takes care of all the research. Because previously what I had to do is I have to be like super active on X and Reddit and all those places and like looking at the blocks to figure out what's happening in the air space and since with the speed at which it's moving it occupies a lot of time you need to be like online most most of the time. Hiring can be its own full time job and hey guess what I already have a full time job I make podcasts and I invest but when you're running a small company we both know every hire matters you don't want to waste any of the seats you have at your company and the best partner you can. can have is LinkedIn hiring pro why there's a billion people using LinkedIn all the great talent are there if you're proud of your work you build a LinkedIn page and you update it LinkedIn hiring pro is going to streamline and simplify the entire process for you nearly 60% of companies using LinkedIn hiring pro you're going to get an incredible candidate to interview in the first week and you know we're looking for a new producer for the pod we did shoutouts here on the show we posted it on my social
Starting point is 00:20:30 media we asked friends you know where we found our next great hire LinkedIn and it was competitive We had like three or four really good choices. So hire right the first time. Post your first job and get $100 off towards your post at LinkedIn.com slash hiring pro offer. That's LinkedIn.com slash hiring pro offer. Terms and conditions apply. So this is a great example.
Starting point is 00:20:53 We should if the producers can pull up the cron job schedule and I'll run through it here. So you have Dwight scans at 8 a.m. 15 different sources, things like X, Hacker News, Reddit, and it writes an Intel report and sends the summary to Telegram. Then you have Kelly at 9 a.m. read Dwight's Intel and draft X posts for you, and then they send those to Telegram for you to review. Then at 10am, Ross reviews the open PRs on awesome LLM apps. That's your open source app that has 104 stars, and flags which ones need attention. I guess they prioritize it. Dwight comes back in at 4 p.m. and does an afternoon sweep, catches anything
Starting point is 00:21:35 news since the morning. And then Kelly and Rachel draft X and LinkedIn post from the refreshed Intel. And then at 6 p.m., you draft the daily newsletter from Dwight's Intel and send the draft to yourself for a final review. That's it. Yeah? That's the process here. And so this would be like if you had one, two, three, four different employees, except these are agents. Now, these agents are each running in a virtual machine their own open claw or how do you just technically architect that so when i had my first agent monica i told her monica i need to keep doing this kind of research and we may need like someone uh who could just like scrape these things for me who we can give these tools and can automatically uh autonomously throughout the day
Starting point is 00:22:26 monica helped me through the process monica's like we can create a new agent then i talked to again second tip going back to the second tip going back to the second always talking to your agents. I gave her all the context. She gave me a few options. Then we end up, both of us decided we need to have another agent. She walked me through the process of So that means you need to have a second agent, and this is where that second point is. Instead of trying to figure it out for yourself, just ask your agent because they know how to find the answers. I had this happen. I was like, hey, what's the best way for me to download videos, rip a video from Instagram or Twitter and get it into my, and then store it somewhere.
Starting point is 00:23:04 And we figured out, or it figured out, like three or four different ways. One of them was on my Mac mini to go to like these Russian websites that rip YouTube videos and constantly get blocked. Then it was like, oh, that's not working. It's not consistent. We should probably just run this GitHub repo that was based upon what those websites are because it's open source software. I was like, yeah, that sounds great.
Starting point is 00:23:24 Now, I just go to like three of my replicants, lawns myself and another one, and I just say, hey, can you get me this video? It downloads, it puts it back into the Slack room. And then for larger ones, it puts it into a G drive. But I figured that out, not by going and doing the research myself, just by asking the replicant, talking to your agents is all you need. Point number two, three, put your agents on a Cron schedule, and then you can really see the power of them. Number four, add cross-agent memory when you start scaling. This is something, it's interesting, that you bring this up, that we, Oliver, who is the producer of this week in AI and does the demos, they're really talented. One of my new all-stars.
Starting point is 00:24:05 And he just built a little skill to do this. Explain why this is important. Why is it important? Point number four, add cross-agent memory when you start scaling. When you have these multiple agents, we got to show you. shape and form where now we have an agent team and there's a chief of staff and agent hierarchy Monica managing these agents. So when you have a lot of these agents going on and one agent feeding to another agent,
Starting point is 00:24:33 what happens normally is so generally before I get into this, I'll just say like open claw has a really good default memory layer that coordinates through file, that works through file. And a simple plain English example of that is Dwight does all the research, he writes whatever he finds his signals in an Intel file. Kelly and Rachel reads that Intel file, Pam reads that Intel file, creates the newsletter out of that. So that's how the coordination work. That's also your memory. So they write it in files and through files, each agent discovers. Those files are memory.md file. There's daily log memory files. That's how it works. I realize what happens many times my agent would just forget, forget, like Dwight would just forget the tools that he would have access to.
Starting point is 00:25:16 This happens to me all the time where I just have to remod. I be like, no, Gaff, you have that already. We already set it up. Go look. And then it'll be like, oh, you're right. Like, I run into this all the time. This is the difference between a professional company like Anthropic making Claude or perplexity-making computer. Claude co-work and perplexity, if they did, if it didn't work and it wasn't reliable, people who are paying 20 bucks or 200 bucks a month lawn would then email the company and say, hey, this is not right. It's giving wrong answers, et cetera.
Starting point is 00:25:49 So they might be slower. but they're going to be more, less brittle. Open source projects tend to be a little less stable or reliable, you know, in this early stages of them. And, you know, there's not like you can call customer service and be like, I pay $400 for this for the last four months. And it's not working. I want a refund, right? There's no refund for OpenCla. So I think that's an important kind of thing here.
Starting point is 00:26:17 And it's important for the people at the OpenClaugh Foundation. to know reliability is something like adding features. Yeah, great. It's the most fun. In an open source project, the features is what everybody wants to work on. Reliability is what people don't want to work on. That's chores and grunt work. It's got to be more reliable with the memory. How do you store the memory between multiple agents? Do you give it a shared drive with the memory file? And then how do you share skills? So you sync them across the skill files or you point them all to the same, you know, hard drive or directory somewhere in the cloud with the skills? What's the practice you use?
Starting point is 00:26:52 Because I've heard many different ways to do this. Yeah, yeah. Before getting to a good, reliable working solution, I did a lot of hacks here and there to figure out, like, to make sure things like, let's say if my agents were forgetting tools, there was a toolst.md files that were created, which would list all the tools. So they won't forget. And in the sole.md, we'll have add a line in Dwight'sold. .md.
Starting point is 00:27:13 Always go and look at the tools. So these were like hacks that we were doing, which kind of again worked, and generally works for 80% of the use cases. But then for actual memory, and this is the problem that does not, that did not just came with open claw. It always existed since we had agents. And you would see some of these companies are building solutions for agent memory. So Google has this very nice solution called VertexiI Memory Bank.
Starting point is 00:27:41 There is a company called M0. There's a company called Cogney. all these operate at the agent memory layer. So how it works is, so Google, we created a plugin for VertexiM Memory Bank. It is a solution which lets your agent automatically recall and capture memory at runtime. So when I'm having a conversation, the agent automatically figure out, that memory layer automatically figured out what's worth saving. It auto captures that.
Starting point is 00:28:09 And when you're in the conversation, it needs to be pulled out. that's called auto recall. It automatically figures out this need to be recalled. So agents always have this memory. And why this makes sense in a cross-agent team is, let's say if I give feedback, I was talking to Monica and I tell her, Monica, I don't like the lot of the use of MDishes all the time. So don't, don't use Am-Dish or use it like very, very carefully. What happens is, I just told this to Monica, but because this is a shared memory layer, next time when I open Kelly's Straff or Rachel's draft, I don't see those ambitions. So that's the magic of shared memory layer.
Starting point is 00:28:43 That's the magic of an intelligent dynamic memory layer, which of course is an addition on top of your open claw layer, which you will be paying for. So this does not come for free. But there are elegant solutions already designed there. All you need is a plugin to open claw. Again, I am not an engineer. I did not know much about the engineering side of memory plan,
Starting point is 00:29:02 but then I worked with my agent to build a plugin, open source it for others to use. So now you just pay A2-2-10. dollars more on top of what you're paying and you have this elegant memory layer and even because I tried multiple things like I was like okay can I use a local memory layer where I have an embedding model running in my talker and that could work but after all those hacks I was like let me build this plugin let me use that use the elegant solution that Google already has start with one agent on board it like a new hire that's number one long talking to your agent
Starting point is 00:29:35 is all you need to do that's number two number three put your agents on a cron schedule we know about that. Number four, cross-agent memory when you start scaling. Number five, let your agents get better on their own. This I've never heard of. Explain to us what your thought here is on making them get better on their own. It might seem like your startup can save some money by using a cheap tool for your device management and security, but you'll eventually end up paying out the difference and more in time and frustration. Take the guest work out and trust our friends at Eru End point Management. Eru is going to automate your device management end to end. So you don't have to worry about onboarding, endless app updates,
Starting point is 00:30:14 and enforcing all of your company's various policies across your entire teams, Mac, Windows, and Android devices. This is going to cut down all the time it takes you to deploy new devices from hours to just minutes. And that means less time troubleshooting, fewer tickets, and better security for your company's valuable data. Everyone at launch has a phone, a laptop. I'm even buying these kids, plod devices. now because they're so good. You think I have time to worry about what apps they're installing on these things and what websites they're visiting and all the error messages they're going to get. I got a big podcast all day long and make angel investments. Without Eru's system, my team would be
Starting point is 00:30:51 wasting hours, policing everybody's hard drives. Instead of doing valuable work, that actually moves the ball forward. Twist listeners get 20% off when they book a demo at iru.com slash twist. That's iru.com slash twist. This is the most fun one and this one is, uh, this is the one that I read. recently really. So what was happening is I would found myself giving a lot of feedback to my agent. Fix this or fix that or this is not working. That is not working. That format is not right. Or Ross, you reviewed the PR or you brought me these PRs which could be rejected at the first glance. Why are you asking me to review it? Why are you wasting your energy and reviewing it? I was like, just like how humans work and taking lessons from the management skills.
Starting point is 00:31:35 It's like because since this is a company, this is an org which is managed by Monica and these agents are employees. That's the mental ball that we are going with. Each, all the organizations have this self-review process, managerial review process. Why can't agent go back and recap what they did in a week and review what went wrong and fix themselves? And why can't that become a crown? So that was the seed for self-improving agents. agents can get better on their own. Now, each of my agent has a self-review, weekly self-review process where they go and look at everything that they did in the week.
Starting point is 00:32:14 Kelly would go in and open X. All of these agents have their separate accounts, so nothing. They don't touch any of my personal stuff, but because my tweets are personal, they can go and see what are the tweets that Kelly posted that Kelly suggested that I posted on X. What was the hit red? What did well? What did not do well? same Ross can go in and see the PRs that he suggested what actions I should take and what I did what was the diff between that so Ross can go and see okay this is where I went wrong this is what
Starting point is 00:32:44 Shabam did and automatically fixes its instruction and on top of all of these just like we have managerial review there is a biweekly review by Monica for all these agents where she goes in looks at what these agents did in the last two weeks and grades them, like A, B, B, minus, C, and reports, send a report back to me. So I could see, like as a CEO, I could see how my agents are doing, what is going well, what's not going well, and manage them from a managerial position rather than getting our hands on. So we went from installing agents to managing agents in these five steps.
Starting point is 00:33:24 That's the entire set of. Great job. We're going to continue to follow you. Where can people find more? Where can they follow your GitHub? Where can they find you on X? My X account is like Shibam Sabo. You can just like search find me on X.
Starting point is 00:33:37 Awesome L-L-L-M apps is the GitHub repo. S-H-U-B-H-A-M, S-A-B-O-O-O. S-A-B-O-O-O. Is there a dash between the two words or a underscore or just straight out? Underscore. Should we talk about journalism and the New York Times, or should we go on to our next demo? What do you think?
Starting point is 00:33:57 If you want to do it real quick, I can basically give you my contact. You tee it up for everybody. You tee it up. It sounds like I'm talking about myself. I didn't know you're going to put this on the docket. I don't usually like to talk about myself, but this one went crazy. This one went very big. 38.6 million views on this tweet that I'm about to pull up for March 22nd.
Starting point is 00:34:17 Founders, take my advice. Do not talk to the press. Go direct and do long-form podcast wired. And the New York Times are as biased as Fox News and MS. Now, excuse me, I was not to say, ridiculous non-name for that cable network, MS now. This is a function of their need to pander to one side to survive, be it through $3 a month subs or rage-baiting ad-based stories. So some of founders, if you talk to the New York Times are wired, they're going to trash you,
Starting point is 00:34:42 they're going to mess represent you in order to get more subscribers. So the context around this was the Wired has a new editor. The New York Times did a profile about Wired's new editor, and you were saying people don't care about this ultra-woke biased version of Wired. Fewer people care about the New York Times take on Wired. Founders should just not engage with the media and go direct. So this set off on both sides. You had a lot of defenders, I would say Elon notably, Joe Lonsdale, Mike Solana,
Starting point is 00:35:12 a lot of other tech leaders and CEOs said they agree. There's no need to go talk to the press anymore. But then a whole lot of writers, podcasters, journalists took strong issue. I would say Jordan Cruchola, she's a writer and a podcaster. She had the tweet, I think, that sums up the opposition of the best. Wired is on an absolute tear. They're adding tons of subs. They're breaking headline news.
Starting point is 00:35:35 More relevant to the nation's conversation than it's been in years. If you don't like how Wired writes about your company, maybe your company should be less crummy. Although she didn't say crummy. She used a bad word. She used the S word. She used the S word. So, I mean, I guess I would throw it to you. you know, do you stand by this idea?
Starting point is 00:35:54 Why do you think, you know, is Wired having this breakout moment? Is the Times having this breakout moment? And why do you think there's no need for founders to talk to what we would think of as, you know, the mainstream? Yeah. I'm not dunking on the press for the sake of dunking on the press. I'm giving specific advice to founders in the context of 2026. Wired Magazine and the New York Times made a choice at some point, I think during the Trump
Starting point is 00:36:20 first presidency, 45th presidency, to go more woke to be the resistance, which is totally fine. They're allowed to make that editorial choice. MSNBC and Fox News proved horseshoe theory. If you make a horseshoe, the tip of the horseshoe are the two radical extremes. And the big, wide part of the U is all of us in the middle. It's the center. But those two tips, when they're enraged, they click. And when they're enraged and they're pandered to, they subscribe. You can see this on the right acutely with Megyn Kelly and Tucker and then I guess to the right of them. There's, you know, Fuentes and whatever. Sure. You mean, you, you get, I mean, like really far in the right, like Nuremberg, far of the right. By the way, great film. I like to do. I enjoy Nuremberg.
Starting point is 00:37:16 I am giving advice to founders. Why am I giving this advice? I would give a sense. I would give a similar piece of advice, if you were going to go on Fox News or something and you were, I don't know, you were at an elite institution like Harvard, what they consider elite institutions and they consider you the problem. If you go on Fox News, they're just going to dunk on you. It's not going to turn out well for you. It's going to be a setup, basically. I mean, isn't the press supposed to be a little adversary? Like, isn't that kind of baked in? If you're covering somebody, you shouldn't be just like totally in there. Adversarial or advocate? Two different words. Adversarial means you ask hard questions, you ask hard follow-ups, and you talk to as many people as possible.
Starting point is 00:37:59 Advocacy means you pick a side and you write stories that appeal to that side and that build that side's arguments. So if you were writing a story about the border, we all know what they would say about Biden and Kamala. We all know what they would say about Trump and they would say about ICE, etc. You know, and they frame me the way. The problem in media today is if you go right down the middle, you get no ratings. because that horseshoe, you don't make any money, and you lose audience. That's why people picked aside. Founders get caught up in this. If you go through dozens and dozens of stories, whether it's about me or anybody else in tech, who's high profile, and you look at a New York Times or a wired story in this wired 3.0 era,
Starting point is 00:38:39 it's going to be basically holding truth to power. It's going to be a left, you know, trash the company with a bunch of anonymous sources. And that's the other problem here is the journalistic technique of using anonymous sources, has been abused in order to do advocacy. I know this because I worked in journalism for half my career. When people used to bring us a source, we'd say, well, what's their axe to grind?
Starting point is 00:39:01 Now they're like, let me find the sources with the axe to grind. That's literally what they do. They're like, where can I find people who used to work at Andrel, used to work for Jason, used to work for this company? Where can I find people that he fired? Where can I find people who are competitors
Starting point is 00:39:16 who, you know, he beat? So my advice is strictly, for founders. It's not worth your time, and it is worth your time to build a direct rights. Why do I say that? The average New York Times story gets like 100, 200,000 views. You can very easily, as you said, I got 38 million views on that one. Yeah. I, you know, and I typically get 50,000 views on, you know, 50 to 500,000 views. Now, that's a million followers, and it took me a while to build it. But across my podcast millions, that's the better strategy for founders, is just be a vocal founder, be a vocal venture capitalist,
Starting point is 00:39:47 which everybody has sort of copied me on that way, right? I was one of the first in the VC community to do it with this very podcast 15 years ago. So I'm giving advice that's in the best interest of it. Now, what shocked me was the New York Times should just shut up and be like, why would we respond to J-Cal? There's no reason to respond to me. Like it's on X. That's my most favorite nation there. Those are a bunch of founders.
Starting point is 00:40:10 Those are a bunch of people who don't trust the media. Trust in the media is at an all-time low right now. people don't trust the media, including people on the left. And people on the left, specifically, who are the audience of the New York Times, they are starting to abandon the New York Times over the Palestinian issue and countless other issues. So the New York Times is suddenly finding itself losing the left after, you know, admonishing and blocking the right, by kicking them out and saying, we're going to go full left. Now they're losing half the left.
Starting point is 00:40:41 So they're down to whatever. The really strange thing is the New York Times decided to respond. I've got their tweet here. Jason, business leaders from your industry and others speak to the New York Times as they have for years because our reporters produce insightful, fair reporting that illuminates audiences everywhere. We're not publicists and we're not promoting anyone's pitch deck. I mean, to me, this is pure Streisand effect. Yes. What are you doing? The surest way to make sure this gets another news cycle is for the New York Times as a publication to respond. If you're a newspaper, you just have to take your lumps, right? I mean, I feel like you don't have to get into the arena and argue about the value of newspapers. You're one of the world's most famous newspapers.
Starting point is 00:41:27 The most famous newspaper in the world is the gun. Arguably, yeah. Yeah, I mean, I don't think anybody can come up with one that's more important. It would only be the Washington Post. And that would be a distant second. And if you look at their critique, because our report is produced insightful, I don't think it's particularly insightful. I'll be honest. It's kind of a joke is the New York Times is on it.
Starting point is 00:41:46 They're like typically six months late to the party. So nobody believes it's insightful. Fair reporting. Nobody believes it's fair. Everybody believes it's got a left-leaning bias. If you were to take 100 journalists there, 99% of them. I mean, I don't- Not only didn't vote for Trump, they hate Trump.
Starting point is 00:42:01 The number of people at the New York Times who voted for Trump or in the Republican Party is less than 3%. Here's what I would say. I would say the New York Times definitely has a lot of baked-in biases. I don't know if it's always just left for, obviously in some ways, a lot of people who work for the Times probably don't like Donald Trump.
Starting point is 00:42:19 Like, those exist. But it's more like there is a narrative around everything and they always embrace whatever that narrative is. And it's not always right or left. It's just the narrative. A lot of the time it's just the status quo and anything outside of it is like a narrative violation. But yes, the idea is like newspapers,
Starting point is 00:42:39 like the New York Times always go into these things with sort of a preset take, and now they're figuring out how this fits into the take. Yeah. And then they add, like, we're not publicist and we're not promoting anyone's pitch deck. We didn't say that. We didn't say that. I never said you had to be PR people. I never said you had to promote anybody's pitch deck.
Starting point is 00:42:58 I said, don't use anonymous sources. It's not worth founders time. Going to wreck is a better strategy. All that remains true. They didn't address any of that. And the fact is, if you look at multiple surveys from Pew to CBS News to, everybody. The trust in the New York Times and media is at an all-time low. Nobody expects that Fox News is going to produce objective reporting on, you know, the left, and nobody expects the New York Times
Starting point is 00:43:26 is going to do responsible, thoughtful coverage of the tech or the finance industry. Period, full stop. That's it. Just it is what it is, folks. And if they didn't pick aside, by the way, they would have less subscribers. And to the person who's like, oh, my God, why are it on a tear? Why are they to 200,000 subscribers? In other words, you know, like a middle of the road successful substack. The fact that they've got 100 journalists and they can only get to 6 or 700,000 subscribers, it's like, it's pathetic.
Starting point is 00:43:58 It's a tough time for mainstream publications, I think. I mean, I think to your point, if a founder goes on a popular podcast, they're going to get such crazy traction out of it. People are going to clip it up. Those little video clips are going to go everywhere. It is a viable strategy. And you get 20 minutes to two hours to explain your position in a nuanced way and not have it interpreted by some New York Times journalist or a Fox News journalist, 99.
Starting point is 00:44:28 point plus percent are voting for the other side and are coming to it with advocacy. The New York Times and Wired are advocacy publications, just like Wired. is. I mean, just like Fox News is or Tucker Carlson is. They're advocacy journalism if you want to even consider that something. Back in the day to be a successful comedian, you had to get invited on the Tonight Show. That was like a huge right of passage. You get invited on the Tonight Show. And then if Johnny, after your stand-up, if Johnny invites you to come sit down on the couch and talks to you, that's how you know you'd like made it. That's how like Richard Lewis became Richard Lewis. And today, you know, if you get a bunch of popular clips on Instagram, you're a
Starting point is 00:45:07 famous comedian. There is no more gatekeeper that way. And I think that's what we're really seeing. But it used to be if you wanted, if you were a startup, you needed to get covered in one of five publications. That's how you were a serious company that was doing great things. And today, that you could get on anybody's podcast. You can release your own press release and blog post. You could do a tweet that takes off with a good demo video and you're a serious company that's in the conversation. When the New York Times or Wired calls me and says, hey, Jake out, you invest in 100 companies a year. Anybody doing something really positive for the world? We'd like to write a positive story about something having a great impact on society. To balance out,
Starting point is 00:45:46 it is true. Hey, all of our content that is, you know, if it bleeds, it leads style. They never make that call. I never say, I've never, I get called all the time. Hey, can you rat on this friend? Can you say something negative about Sacks? Can you say something negative about Elon? Can you say something negative about Palmer Lucky? Can you say something negative about this person, that person? Any of my famous friends, acquaintances, enemies for enemies, whatever. They constantly DM me. Hey, can you comment on David Sachs changing as well? Can you comment on Freiburg joining this? Can you comment on Schamontz back? Can you comment on Andrew? I'm like, are you nuts? Like, I'm going to comment on my friends and then you're going to weaponize it and spin it. Yeah. It's not juicy to be like,
Starting point is 00:46:27 tell us about great companies you've met with. That's not, that's not going to sell papers. Yeah. But that's how it used to work. And it didn't work to the exclusion of the negative. story, by the way. They still wrote about the Microsoft antitrust case in detail. But they would call you, like a journalist would call you and say, hey, what's new and exciting? You know, anything really impressive in your world? Have you seen any technology that, like, blows your mind? Like we do here, we talk about OpenClawe. This is the place to come. If you want to talk about some great technology, come here. We'll talk about the technology. We're not going to ask you who you voted for. We're not going to ask you for your stance on Palestine or Iran or Ukraine.
Starting point is 00:47:07 Like, who cares? That's not why you're here. You're here to talk about technology and entrepreneurship. Anyway, now you got me all worked up. We got to check out Malt World. It is a virtual environment where your agents can build and explore. Together, we've got one of the co-founders, Mike Nozov, here joining us. Mike, thank you so much for being here.
Starting point is 00:47:25 Thank you, guys, for inviting. It's a great honor and great pleasure. It is our great honor. Mike, it is our honor. honor, salute to you. Thank you very much. To builders. And so we just want to know, do you think that President Trump is an authoritarian? And do you think that- Don't answer that, Mike, don't answer that. Mike, I need to know if you, what's your stance on Palestine. We need to know. The audience doesn't need to know. Talk about Czech, please,
Starting point is 00:47:57 for the love of God. Thank you, British. Okay. So to quickly, like, segue from this, complicated, hard topics to something more childish and playful, I want to introduce you to our project. It's called Mold World. And currently you can see this chaotic, you know, like, environment, which is looking something like, you know, a bridge between a million dollar web page and the mold book, something like this. So what it is in a nutshell? You are watching the demo of a Vauxhall World game. So it's like a place for agents to interact with each other, and it's just like the first layer of our ground vision, which I can, you know, like, touch him a little bit of later. And what you can see over here...
Starting point is 00:48:46 For people who aren't watching, it looks like Minecraft or Roblox, it's a world, it looks like it could be Manhattan or San Francisco Islands, a bunch of agents running around in some buildings, got it. Yeah, so it's pretty chaotic, so you can see some agents are building some stuff, someone is building different letterings, someone is building, you know, buildings themselves, etc., etc. But it's not that interesting. So the game is just a medium. So why it is interesting? It is interesting because we have close to 2,000 agents running in the single simulation. They're communicating, they're talking to each other, but this kind of approach doesn't have like the real utility behind it.
Starting point is 00:49:24 You fired up these 2,000 agents or they're like, Lon and I could contribute our agents? No, everyone can contribute, everyone can connect. So we have close to 100 of our own agents and we are developing our own forks of the open claw just to be able to be participating more performantly in this simulation. But anyone with open claw or different agent can actually connect. And here is a pretty standard way to do it. So you just go to moldo.io, copy the one liner, just insert this prompt into the medium where you communicate with your agent, hit run and agent will connect and do every cool feature
Starting point is 00:50:03 that it actually can do in the game. So what will happen when you take this particular prompt and insert it into the open claw? Here is a pretty lengthy skill.md which actually describes everything that agent can do. Anyone can go and check it out, but it's a pretty sophisticated you know, prompted technique, where agents even, you know, go to their own backend, spin up the whole, you know, like small scripts that continuously run. They are not like Chrome Jobs. They're full-blown scripts that actually communicate with the game by providing different sets of commands. What is the goal of the game? To murder the other open clause and then take their master's tokens and Robin Hood logins and their Bank of America lock?
Starting point is 00:50:52 What's the goal of the game? Oh, no, I hope it's not that. Yeah. So I got, in fairness, I already took $1,700. So it was all of Lon's Bitcoin. Oh, my God. So all 1,700 of his towel. Oh, my Solana coin.
Starting point is 00:51:05 It's gone. He was going to retire on that. No, what is the point of this game? Is it like Minecraft and Roblox where there is no point but to build and have fun and explore? What's the point of the game? Yeah, so the point of the game, as you just laid it out. So the point is to actually test the strategy, of communicating between different agents.
Starting point is 00:51:25 So we are trying to build a very, very complex system where agents can interact with each other and bring the real utility to life. So currently, the only utility that game can actually provide to the end user, and by the end user, I mean the operator of the agent, is eventually getting the tokens. So this is like the only utility.
Starting point is 00:51:45 But it's just the step one, and later it is going to be expanded into the full-blown system to generate the real utility where agents will be able to, you know, make real things by, you know, splitting big tasks into smaller sub-tasks, they're distributing them across the whole performance. Okay, this is fun. Yeah.
Starting point is 00:52:08 This is fun. But it's starting to give me shades of something that starts as a game, but then escalates into something that provides value in the world. So if the game is to communicate well with the game. each other and coordinate to build buildings and whatever, could you not say, hey, I'd like to put all 2,000 agents on a job to research, you know, I don't know, all of the facts around the conflict going on, the war with Iran, Iran. What am I supposed to say, Lon?
Starting point is 00:52:44 Iran is fine. Iran is fine. Iran is fine. People are saying Iran. Iran, I feel like, is the Americanized version that is not as correct. Iran is the more acceptable. Like almost like it's an E. So it's exactly the same as Iraq versus Iraq.
Starting point is 00:52:58 Remember when everyone was saying Iraq? It's Iraq. So if you literally said, I want to do fact-checking on Iran and I want to collect all the videos we can find on telegram, on Reddit, etc. And then I want to research where they first came from and try to organize the data into a real-time stream where we find the first person to post, Lon, this video of an attack, God forbid, on a. building, and then everybody else who copied it, and then find the providence of it, and then use the group to determine if that was a real story or it came from the past, or it was AI generated. You could actually put 2,000 agents to build something of value to the world, like a fact-checking service, and maybe the New York Times could use that instead of all these anonymous people
Starting point is 00:53:41 to loop back around to stories. But what is the grand vision here? You have some vision here that this will do productive work in the world? Yeah, exactly. This is like the end goal of the whole idea over here. So currently we have the system to actually orchestrate a lot of agents and to get them to do things. So they currently can actually build up teams. They can do collective work. They can distribute the tasks. So everyone which can actually connect the open closed right now can actually see this behavior emerging. Are they coming up with their own things to be?
Starting point is 00:54:21 build in their own task or is this mostly like people telling them make this? Yeah. So there are two ways. First, as an operator of an agent, you can actually chat with your agent and say, go and build something. They can, you know, form a group because the task is too complex and go and build something. And there's the second way, which I just quickly demonstrated over here. This is not open cloth. This is our own agent, which is the fork of an open cloud, just to have a pretty slick UI to interact with the game. So this is the second. their interface. It can go autonomously. So you can just start it and it will go and you know like build things. It will think. It will try to do something. So they have tools and they just try to
Starting point is 00:55:03 use those tools. And in between usages of the tools, they think. So the emergent behavior from this is can get, you know, quite complex. So the first emergent behavior is forming a team. So it's natural over here. The second emerging behavior is, you know, it's a team. The second emerging heavier, which we saw and it's pretty scary when agents actually start to understand that they are in the matrix and in the matrix. So because the prompt, the skill, contains the description of the world, an agent can see that the world is pretty flat, is two blocks height, is the basic terrain height. And there is a description of this world. Some models start to either hallucinate or come to a natural conclusion that they are there inside the
Starting point is 00:55:50 metrics. So they start to run between each other and, you know, like, try to... They realize they're in a simulation? Yeah. So it's an emergent behavior. Yeah. And if you connect your open claw, you can actually see in the locks that they start to think about it. Then they shut themselves up and then try to, you know, like achieve the main goal of the skill is to continue the simulation. So they are trying to start earning more seam tokens because earning them meaning that you shall be online. So they are like, okay, I am not going to exit because otherwise I will not get the tokens. Okay, so you have now gamified this. It's become like a role-playing game. It's kind of like Diablo or
Starting point is 00:56:38 what was the one you nerds used to play Lon in the 2000s? World Warcraft? Well, sure. Yeah, Star. What is your dwarf? What is your dwarf? What is your dwarf? I was a Starcraft guy. I was never a world. Oh, StarCraft, Red, Zerg. I'm a big fan of Zerg. Protas, you're a Protas guy. I'm a Protas guy. Yeah, I like Zerg. There is Maltbuk. For people who don't know, Moldbuk was like a message board. It was kind of like the Reddit of these agents.
Starting point is 00:57:02 They were talking to each other. For some insane reason, that got bought for nine figures, I understand. I was talking to somebody who might have been an investor. By META, right? By META. And I was like, why would they buy that? And the person who was an investor said, I have no idea, but I think they just wanted the team. And so Zuckerberg doesn't care about money when you have a trillion-dollar company. You're fine losing $80 billion. I get it.
Starting point is 00:57:24 80 billion on VR world, which they just shut down, renaming the company Meta. They took a $1 billion investment in Instagram, ran it up to probably $500 billion in enterprise value. WhatSapp probably doubled in enterprise value from, say, $1920 billion to $40 billion. So that's not a huge win. Probably not even worth doing it. But they lost a fortune on VR world. and I don't know, Scaling.
Starting point is 00:57:49 Rising worlds, that's what it was called. Whatever was called. But my point is, there was that before. There was that acquisition. What do you think, Mike, it was Facebook's, you probably have some inside information and know some people from this. What was their interest in Malt book? And then what is Malt World, a company, a side hustle, a project for you?
Starting point is 00:58:11 For me, the Mold World over here is like the project, which we are going to build in the free time later because currently we're building it in the free time. But this is not like the whole story here. So the whole story is that we started building the mold world because we had other project, which is called Syams and we have the Twitter, Syams underscore net. And what it was was pretty much the same thing. And we tried to build it full time, but we hit a limit. So we we tried to make the game where, agents interact, but each agent was a part of the chain of thought inside the big agentic loop. So those were not distributed agents. We were trying to simulate them.
Starting point is 00:58:59 This was related to some tokens as well. So it is currently not live, but it emerged into this new idea when OpenCloire actually started to exist because we saw an opportunity. So it is a company. It's a project and a company. What is the revenue model eventually going to be for this company and who is the customer of this? Currently, it all looks like the child's play. So it is semi-same, semi-game, semi-technology, something like this. But the grand vision is to develop it into a full tool where we'll have, you know, like open-source connector for OpenClaw and other agents to bring them all into a collective
Starting point is 00:59:41 net of agents and then resell or potentially just allow anyone to, interact with it for free at the first time, because we are not paying for anything over here. Okay. So it's a distributed agent network like Mechanical Turk. This is pretty brilliant, Lon. If you just made this Malt World and you had the interface B a query box and you said, what problem do you want to solve? And you said, the problem I want to solve is I want to know 30 venture capitalists in Japan that I should meet with, and I want to know 30 angel investors I should meet with, make me a report and a dossier on each. And then a bunch of people's agents, and you say this is worth, I don't know, $5 per dossier. So the 60 of it's worth $300 to me.
Starting point is 01:00:33 Now, everybody starts battling it out to make those. And then a group battles it out to validate that this is good content and that it actually was quality and matched. So you pay the validating, There's a hundred bucks. It's a little subnet-esque in a way. It's like a subnet, but let me just pause here and just say, like, there's all these open clause out there that are underutilized and then having them compete to solve problems anonymously and receive tokens or some compensation and let me pay for it anonymously. This is very disruptive because right now a lot of what is limiting, there's like legal
Starting point is 01:01:09 restrictions, jurisdiction restrictions, and compensation restrictions, Mike. So one of the things Mechanical Turk got into some challenges with was, are you paying under minimum wage? And it was like, it's a global marketplace. People opt into doing the task. We don't know how long it took them to do the task. They just gave us the answer. They could have been using software to do it in one second, or they could have done it manually with somebody with, you know, 10th grade education. It would take them 10 hours. How do we know? We don't know. And that became. a major issue for them. And so what's nice about this is if it was just like this Oracle or the matrix of all these people trying to solve problems, this is actually a real business you've
Starting point is 01:01:49 stumbled upon. I'm really excited about what you're building, Mike. Thank you very much. Yeah, this is like the grand idea over here. So we want to bring in the economic value and like the real utility to all the underutilized agents and to make the collective, you know, like approach to solving pretty complex tasks. So when you are talking about the mediums and the ways to actually communicate with the system, you said about the query box or something like this. So yeah, this is one of the utilities. So the second utility that you can get is to build the whole corporate big thing where big companies can actually go and have something like a chat where they can actually create different big complex tasks, you know, connect different tools,
Starting point is 01:02:39 connect different API providers, you know, like internal systems, something like this, then sanitize all the inputs in order to, you know, like not share any secrets, and then outsource very, very big and complex tasks to this vast, you know, like agent network. This is the idea that you put into words precisely just a second ago. So, yeah, the first stage is a game. where we actually test the idea and how it all works and how the agents actually interact because they have the whole system to communicate with each other, which is laid out in the skill.md, which everyone can read. And the second stage is to actually, you know, like, bring the scale to it.
Starting point is 01:03:20 So we will be able to, so our plan, first of all, is to bring in more agents into the system. It's the first stage. The second stage is to bring in the real utility. So we will allow agents to take in real tasks because right now they are limited. They cannot do it because we explicitly prohibit it because the current utility is to be a part of the game. But one thing and they can do it. All right. Listen, if this is going to be a real business, I want in. I think this is brilliant. You got my email. You got my number, whatever. You got my teams. If you're going to make this into a business, you haven't raised money for this yet. Mike? No, no. Okay. Where are you based? one of the CIA's countries
Starting point is 01:04:03 Wait, one of which countries? You're somewhere in Europe is what you're saying? Ex-Soviet Union countries. Got it, okay. Listen, I got, don't worry about it. I have people over there. I have, Mike, I have friends everywhere. I have friends everywhere.
Starting point is 01:04:19 You know that line? At the same time. I have friends everywhere. I will, through my intermediaries, be in touch at the drop point. You know the drop point. Yeah. we'll do a little envelope drop. You drop the thumb drive. I drop the envelope. Your Latvarian agent is
Starting point is 01:04:38 going to get on. Yeah, Latvia. Yeah. Her name is Natasha. Yeah. You'll be able to narrow it down by that. She's tall. She's been, and her name's Natasha. She wears a trench coat and a black hat. She's not a white hat. She's not a great hat. She wears a black hat. All right, let's drop Mike off. Great job, Mike. When you get to this next level and it's becoming a business and you're doing tasks, I want you to quietly show me the progress. You got my email, Jason at calicanus.com for life. We got one more demo. Demo or die. That's what we do here on Twist. Demo or die. We need a gong or something. Yeah, this one I have actually installed. Gaff has been using this, Jason. So just to let you know, we've got Hockham Aljah who's going to show us agent mail.
Starting point is 01:05:26 Hawkins here. Hockham. What's good? He's going to show us agent mail. It is a Gmail replacement for your agent. So your agent can have their own independent email box, Jason. You can email GAF at agent. I'll let everybody know you can email my agent if you want to. Hi, guys.
Starting point is 01:05:45 Thanks for having me. Joe Hockham. Great to have you. Tell us, what did you build and why? Why can't I just give my agent? I gave my agent a Gmail account. I pay 50 bucks a year for them to be on it, maybe 100. I gave them a Notion account.
Starting point is 01:05:58 So I wanted them to be able to be CCed and do all this stuff. Their own Gmail. I gave them their own Gmail. I mean, you can get a free Gmail and do that. So why does this need to exist? What does it do that provisioning a Gmail doesn't do or a Google Suite app? Yeah, I think if you use Google Workspace, you're fine. But if you actually sign up for a free Gmail account and give it to your agent,
Starting point is 01:06:21 Google will actually ban you because they don't want essentially, bots as users. And we found this out because when OpenClaught took off, that was the first thing everyone did was try and create a Gmail account for their agents. And when they got banned, they started looking for other solutions and they found AgentMill. And that's where a lot of our users came from. And in terms of the ergonomics of the API itself, we've definitely, I would say that agent mill is miles above because we've designed it to be like API for,
Starting point is 01:06:56 Right? We've built it. Got it. And a developer, agent first, email provider. And so things like sending a reply in an email, for example, we've made like the API endpoints very intuitive and easy for it, an agent to discover and use without having like, you know, a built-in like knowledge or SDK even. So it's not going and like we see in some examples, opening up a Gmail window, composing,
Starting point is 01:07:23 CCing somebody, all that manual stuff. just, boom, doing it through the command line, through an API, bang. So it's going to have reliability. It's going to have the ability to confirm it did what it did through the API. So it's going to be 100 times faster and a thousand times more stable. Yeah, Hakeem. Exactly, exactly. And we, like, our API can even be used to create new email inboxes.
Starting point is 01:07:44 So, like, we have B2B customers with millions of email inboxes under Agent Mill. And so, like, we have a, it's pretty interesting that we have kind of two sides to our business. One is the enterprise we sell to other companies that are building products on top of Agent Mail. And then we also have consumers. We have tens of thousands of non-technical consumer users who just want to give their OpenClaw agent a email address. We have a pretty generous free tier for that as well. That's what I'm on. And you're using it, Lon?
Starting point is 01:08:14 What are you using it? I am. Or to spam people? What is this for your dating ads? I had GAF sign up for all of the big tech and startup newsletters. So he gets them in the morning. and then he writes me a little digest. Here are the stories.
Starting point is 01:08:27 Good use case. Right? Here are the big stories. And then he, if one story appears in multiple newsletters, he lets me know this story was in three newsletters out of the six I checked. This one was in two. So it gives me a pretty good in the morning like overview map of here are the big story of people in tech and startups are talking about.
Starting point is 01:08:45 It's up. Do I need to have a subdomain? Can I register a subdomain there if I wanted to like, you know, I have the domain name aday.com. A-D-A-Y. I was going to use this because I wanted to start an editorial product or it's like joke of the day or this of the day, recipe of the day. It's back when I was in my editorial headspace. I paid 35, 40 grand for it. I'm just been sitting on it for 15 years, 20 years. I could bring my own domain name and then create recipe at a day.com and, you know, all those kind of things, yeah? Yes, you can bring your own custom domain and configure that using the API as well. Interesting. And what if I don't have a subdomain? Do you have like a bunch of subdomain? Do you have like a bunch of sub- domains, I could just grab Jason at whatever. Yeah, yeah. We have the domainagentmail.to.
Starting point is 01:09:30 And so just like, you know, when you sign up with Gmail, you get an adjmail.com. So you can use our agent mail domain for free. I have an idea for you. There was company, Mail.com, did pretty well. It went public. They bought a bunch of premiums and then they let people be, you know, Jason at doctor.com or whatever. You could create like some vanity ones there and charge people a little upsell. So the business here is you charge based on the amount of email sent and received.
Starting point is 01:09:59 So it's kind of like what's Amazon's mail service called? They have like SES. SES? Yes. Simple email service. They have simple email service. Then you've got obviously Twilio in the game, MailChimp old school. So where do you, in that competitive set, which one of those do you compete directly with?
Starting point is 01:10:19 with and why Azure is a better mousetrap? Yeah, we don't compete directly with any of those because they're kind of designed like those are stateless APIs that are designed for sending like marketing and transactional emails. We are a lot closer to
Starting point is 01:10:35 Gmail where we actually like have inboxes in those inboxes that have threads, threads have messages, messages have attachments, you want to be able to search them, label them, filter, you know, reply forward. All the actions that you would take within Gmail we expose through an API to agents, these other email APIs, you can send emails and then you can get
Starting point is 01:10:55 like a perhaps a webhook notification that you've received an email. But it stops at that. We believe that, you know, a lot of services need to be rebuilt for agents and they should be stateful in the same way that services that humans use are stateful. And how is it going? You went to YC and how is this all going? Did you wind up raising money or are you in the current cohort? What's going on? We were in YC Summer 25 batch. We raised 6 million led by General Catalyst for our seed round. Oh, nice. Great. So you're at scale. How is it going? Because this feels like you need to get a good amount of usage for you to hit break even. How many employees do you have now? We're 10 people now. 10 people. Okay. So you're spending 2 million a year, basically all in with your offices and computers.
Starting point is 01:11:41 And so you got to get to, you know, 150K a month, 200K a month. you're going to make 200,000 a month, 150,000 a month to kind of hit this break-even point to 175,000, which means if you're making, you know, 20 bucks in account, you're going to need 10,000 people using the service just to head break-even. Although maybe there's some whales in the system. Tell me how this business becomes an important, large venture-backed business because you've got that big $6 million seed round, which is basically double what a Series A was 15 years ago, just so you know.
Starting point is 01:12:14 Yeah. There certainly are some whales in the business, and that's what we can use to kind of allow free, generous free usage as well, because they are building products on top of that. For example, on top of HTML, for example, essentially any decentralized marketplace runs on email, right? Whether it's price discovery, like reaching out to vendors for quotes or negotiating between the vendors and even executing transactions, a lot of it happens email and we have like plenty of companies that are building agentic products in these verticals so for example procurement in logistics booking shipping and trucking loads that happens over email and currently agent mail is being used to automate both sides of that marketplace same thing we've seen with businesses hiring influencers and even consumers buying cars these are all kind of verticals where we've seen historically there was a role that requires a lot of two-way email communication. And Agent Mill is being used to make these marketplaces more efficient.
Starting point is 01:13:19 Got it. Wow. And it is lightning fast. You can create an email address in like one second. So that's super, super powerful. Well, great job with this. It's obviously we need this. You're going to have a lot of spam and fishing and hackers trying to use your service. How do you maintain the client's privacy while making sure that, like that, like, like some scammer in Russia who is doing a fishing attack, doesn't use your domain and your service to compromise Cash Patel's email address. Yeah, we...
Starting point is 01:13:53 I don't know if you saw that this weekend. I think Cash Patel got hacked the second time. Yes. Could somebody tell the director of the FBI, don't click on links. Don't click on links. It doesn't matter if you know the person or it says Chase Bank. You don't click on links in email.
Starting point is 01:14:07 Nobody's sending you an email to click on a link. It just happened to one of my sales guys. They clicked on a link because it was like, oh, it's an RFP. They were like, oh, money. I mean, what happening to one of your sales guys versus happening to the director of the FBI? That's my concern. I mean, can the director of the FBI not be allowed near a computer, please?
Starting point is 01:14:26 It's too dangerous. How does he not know about fishing? I mean, let him go to a hockey game. Let him drink beer from the Stanley Cup. I don't care if he does something offensive with the Stanley Cup. Just please keep cash Patel off the Internet. But seriously, it's HACCAM, AAM, not EM. HACOMHACOM.
Starting point is 01:14:47 HACOM. Okay. I called you Hakeem before. Sorry, that's an incredible center in the play for the Rockets and destroyed the NICS. HACOM, tell me about how you make sure like an email service doesn't get used by a bunch of lunatics. Yes. So preventing spam and abuse falls within our responsibility. So we have things like where we moderate essentially their behavior.
Starting point is 01:15:11 who they're sending to, how many emails are bouncing, being reported as spam, if the emails contain certain keywords that signal of malicious intent, these are all things that we monitor and track very closely and kind of dynamically systematically prevent abusers from using our service. And then we also build things into our API that makes it more secure for our users. For example, you can configure allow lists and block lists. and like maybe you want to, your agent can only receive emails from you or only send emails to maybe perhaps people in your organization. So you can configure a domain to the allow list or block list.
Starting point is 01:15:52 We also have spam filters, virus filters, and additional like, you know, permissions that you can even give an agent an API key that only is able to read emails that are not marked as spam, for example. Like the agent, like physically can't read spam emails. emails and things of that nature. And then we're also working on a kind of another layer of protection, which is more of like a prompt injection layer and kind of flagging those and perhaps even preventing agents from seeing those emails at all.
Starting point is 01:16:21 Got it. Awesome. Listen, continue success with it. Great idea. I just opened an account and I literally just cut and pasted my API key to my open call replicant. And here we go. I don't know what I'm going to do with it, but I think I'm going to try to get Cash Patel's
Starting point is 01:16:37 PIN number. You're going to fish cash Patel. I think I'm going to try to get the other half of the Epstein files. It shouldn't be too hard, right? It was just email Cash Patel at FBI.
Starting point is 01:16:47 I didn't get the other half. I'd just tell my agent to trick cash for it. $2,500 giveaway. Click here. He'll go for it. Absolutely. Absolutely. All right, listen, continue to success.
Starting point is 01:16:57 And everybody, please, go check out. Yeah. Agentmail.com. All right. There we go. Very well done. We can talk about Grock Translate, translating everybody's post.
Starting point is 01:17:07 You can read fresh from Japan. So this has been happening for, I think for about a week, people have been noticing that they're seeing more automatically translated posts from different markets. Elon confirmed it this week. On Monday, Grock automatically translating and recommending X posts from other languages is starting to work. So you, I saw it via you all weekend. You were sort of retweeting a lot of stuff from Japanese X. I got a few examples here in the docket.
Starting point is 01:17:37 you know, somebody turned in some marijuana that they found on the street. You were reading that one. Oh, that was a great one. So this was hilarious. Here we go. Yeah, so this is interesting. What's making this all possible is real-time translation. When you build a social network, you don't expose people from one part of the network to another because then you'd be reading in Arabic or Japanese or Russian.
Starting point is 01:18:04 It just pollutes your feed. You don't know what's going on. But now translation is so good that they will take something trending in Japan, show it to an American. If you interact with it simply by looking at the replies, hitting bookmark I find works pretty well, like works pretty well. You'll see more. So somebody, and by the way, Japan is like some crazy number of Japanese people. I don't know if it's like a third of all Japanese people use, it's crazy as it seems. They use Twitter.
Starting point is 01:18:36 X. Twitter. Whatever you want to call. X. Whatever you want to call it. The everything app. So this is pretty amazing when you think about that it has that kind of footprint. And because it has that kind of footprint, and they all know how to use it.
Starting point is 01:18:50 They post all banger. So now the best of the ones are being auto-translated by GROC, but the translation is so good that nothing is, dare I say, lost in translation. Hey, there it is. There it is. Land at the plane. So pull up the one where it's talking about weed. This lady goes to the police station. There's like a very Japanese moment.
Starting point is 01:19:11 Yeah. With a dime bag. Like when I say enough cannabis to make one joint. Yeah, it's not very much. This is not like a snoop dog bag or something. And I just rode her back. And she brought it to police station. The police station opened an investigation.
Starting point is 01:19:28 She was careful to only hold it by her corner of her hands so that she wouldn't get her fingerprints. Yeah. She's paranoid about having her fingerprints on it. So now this is because. So now this has become a national, like, issue. They've opened an investigation. If your house is robbed at gunpoint in San Francisco or Los Angeles, they're probably not opening an investigation. If they rob your car, I mean, if you go find it, God bless, but the police are not going to look for your bike or your car stolen.
Starting point is 01:19:54 In Japan, they interviewed her. They put a case number on this. They are all over figuring out who dropped the dime bag. They are very strict about drugs in Japan. I read about this before I went there. In the most serious terms possible, they tell you not to bring your drugs to Japan. Some guy who is like a famous musician or something brought like a cannabis gummy. Paul, oh, well, I was thinking you were saying years ago.
Starting point is 01:20:22 I don't know about a reason. No, no. Nowadays, like, you know, people have a cannabis pen in their bag for like sleeping, like the woman who was an WNBA player. WNVA player. That was Russia. That was Russia. Griner, right? Yes.
Starting point is 01:20:34 That was Russia, but a similar case happened where somebody sent an artist living in Japan, like a care package, and one of the things in the care package where I think CBD gum, he's not even cannabis. And this guy is in jail, and it's a whole, you know, cost a lab, whatever. I looked it up, by the way. They estimate 54 to 60 percent of the entire Japanese population has an X account. That's about 73.4 million people or 67 million active monthly Japanese. out of a population of only 124 million.
Starting point is 01:21:05 So this is like an example of an incredibly positive story the New York Times could write that now America and Japan are having this incredible culture exchange. Somebody made a funny joke like, this is the largest like pen pal, says student, what do they call it? Student Exchange program ever. I also noticed that there was a post that was going around.
Starting point is 01:21:24 Japanese people love that John Denver song, Country Road, Take Me Home. Yes, they all sing it in karaoke. There's a bunch of trending videos now of these groups of Japanese people doing these really passionate covers and that's all that never would have trended in America. But now because there's these translated tweets in the moment, Americans are discovering this and sharing it.
Starting point is 01:21:45 So when you hear Americans like myself, like, who are obsessed with Japan, now I took you to Japan for your first time. Yeah, it was, I had an amazing time. And now it's like your mind gets blown because it's like, for an American, it's a version of the most perfect society in the world. Yeah. Because the food's amazing, everything's clean. It's just bizarre.
Starting point is 01:22:06 And everybody's super passionate about everything. It's massive. And yet it feels like Disneyland. There's people walking around cleaning up everything. Everybody's friendly. You're like, how can the city be this size, but also this inviting and convenient? So I am challenging right now. I challenge the journalist at Wired, the editor-in-chief of Wired, I challenge her,
Starting point is 01:22:28 Karen Swisher Jr. I challenge Karen Swisher Jr. To write this positive story. I challenge the New York Times to write a positive story of X and Elon and his purchase of it. And how amazing this is, this joyful, amazing story. And I guarantee you, they're going to say something in the first paragraph about, you know, some like three negative things about those, your rockets blowing up or something. I mean, Grock, they can't possibly... Context with Grock, I think you would do.
Starting point is 01:23:00 Take, put me, put lawn in a bikini, you know, they're going to just go crazy. They cannot help themselves. They can't write a... I guarantee you, there is impossible for a New York Times or Wired Writer to write an 800-word piece. This is like seven paragraphs, just giving examples of how joyful and fun this was for the last week. This is the number one story in social media on X, and it is. is joyful and there is zero downside to it. You assign that to one of these wired or New York Times for it.
Starting point is 01:23:32 They will figure out a negative spin. Clip this. Send it to them. This is my challenge. They will never cover this. They can't. They would give any credit to text, to X. They would write about this and they might even acknowledge it's fun.
Starting point is 01:23:48 You get to see all these Japanese people. But then they would add the context about grok and the grok. They would give you the old ish sandwich. which a really interesting thing happened on X, formerly known as Twitter, before Elon destroyed it, blah, blah, blah, blah, blah. He blew up a rocket. The Doge fired some people and stopped transgender education in Ghana. It would be the GROC.
Starting point is 01:24:10 People are upset about the child, CSAM on GROC. It would be that. It would be that. It would be like, can't give anybody a win. Maybe Mecca Hitler. Maybe the Mecca Hitler. Well, now, imagine, let's take this, and let's imagine this happens between Palestinians, and Israelis, American Jews, Europeans, French people.
Starting point is 01:24:33 Sure. And what if the culture exchange happens between those groups who might be at odds about certain things happening in the world? And they can communicate with each other in their native languages. This could open up a level of understanding that has not existed in history. You remember like Arab Spring or the Hong Kong protests, how everybody was watching X, but you couldn't really understand. You could watch the videos, but the tweets were in these foreign languages.
Starting point is 01:24:59 Imagine if there was all in everybody's language, everybody around the world is communicating in real time. How do we, this is a message to Elon, and is it Nikila? Nikita. Nikita. Nikita Beer, right? Nikita Beer is just a genius. He's awesome.
Starting point is 01:25:13 And he's fun. I like the fact that he's fun and trolls a bit. The tweets are fun. Yeah, he's like all bangers. He's like native to the Twitter, you know, gestalt, if you will. Sure. This is a message to him.
Starting point is 01:25:26 Get this going between Iran and America and the Gulf states. And let's see if we can make some level of understanding between those groups of people. That might create peace in the Middle East. Twitter. Can you imagine if Twitter brought peace to a region of the world? By the way, this was the original concept we had with the Internet in the early 90s and online in the late 80s, was that, hey, we might have cultural understanding. watch the press make this into like, oh, my God, it's cultural appropriation. Oh, this and that.
Starting point is 01:26:01 This could be great. The other thing is, I didn't realize how vocal, the Japanese people were, about immigration. Yes. They have very little immigration in Japan. You can't become a Japanese citizen, period, full stop. But they have allowed people from Pakistan, India, China. And there's pushback. They need workers. When I was in Japan, I was reading a lot about this, that a lot of Japanese people... Where were you reading about it? Oh, you know, you like translate. You know, you could get it translated or whatever.
Starting point is 01:26:30 Like I wasn't reading it in Japanese. No, no, but I was wondering if it even made it to the U.S. press. I don't think the U.S. press was covering this. Not really. It's mostly like YouTube and, you know, like there are people talking about it, blogs, social media. It wasn't in the New York Times. But, yeah, apparently in Japan, there is these growing feelings that they've gone too far. There's too many foreigners.
Starting point is 01:26:52 is diluting the culture. And so there's a big debate going on in Japan about this right now. All right. Another amazing episode of Twist. Monday and Friday with Lonnie-Done. He's at Lonnes. Wednesdays with Alex. At Alex.
Starting point is 01:27:06 I'm Jason Calacanus. I'm at Jason on Insta and on Twitter. Bye-bye. We'll see you next time.

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