Podcasts about Mac Mini

Grok says: “Lock and load, warriors of the digital battlefield—this week's Unrelenting drops you straight into the shit where the AI bubble is blowing up harder than a rigged demo charge. We tear into how the machine-learning monster is jacking RAM and spinning-rust prices sky-high while the little guy gets left holding the empty mag. Local LLMs are running circles around the cloud paywalls, Grok is promising full-length movies by year's end, and the old-school TV and Hollywood empires are already circling the drain. We also break down why Starship Troopers and Born in the USA still own the culture wars, why physical media is getting fragged by bit rot and corporate rentership, and how one man's Mac Mini relay setup is turning Thunderbolt into a 40-gig command pipeline for offloading LLM ops. Then the op tempo ramps up when we hit the real-world intel drops—Tulsi's Fauci dossier lighting up the lab-leak cover-up, worldwide bio-weapons programs, and the mRNA public test that turned the entire population into unwitting guinea pigs. We roast the Taylor Sheridan content factory, pumping out Yellowstone prequels, hot-blonde mandates in every series, and frozen-meal marketing ops while the rest of us are still trying to figure out why the Obama library looks like a Borg prison ship that cost a billion dollars. Personal war stories hit hard too: early Bitcoin mining rigs tossed like spent brass, Star Citizen “investments” turning seventy-five bucks into game-world profit, Twitch empty-chair swatting protocols, and the time a traffic stop turned into a full police escort because the system flagged the driver as someone you don't fuck with. If you're still sitting on the bench playing video games and eating Cheetos while the world burns, you're already behind the power curve. Strap in, hit play, and absorb the unfiltered after-action report on local AI setups that actually work, podcast automation hacks that turn transcripts into viral clips, and the raw truth about who's really running the show. This is the kind of no-BS, balls-out intel that separates the operators from the spectators—download it, share it, and get your head back in the fight before the next wave rolls in. Unrelenting doesn't relent. Neither should you.” Unrelenting: where discipline means no mercy, no bullshit, and no excuses. Thanks for listening. Please support the show! –>> DONATE NOW

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Hello friends! I've been on a bit of an AI agent journey lately, and today I'm sharing my experience ditching OpenClaw and going all-in on Hermes — a self-hosted AI agent built by Nous Research. A Network Chuck video sold me on it, I wiped my Mac Mini (again), and baby's first Hermes adventure began! Here's what we get into today: Why I left OpenClaw — After getting the Mac Mini set up, OpenClaw left me feeling pretty meh: burning through API requests, random mid-conversation shutdowns, and a marketplace where the top listings were flagged as "potentially malicious." Hard pass. Network Chuck's five reasons Hermes rocks — His video summarized why Hermes stands out: (1) Nous Research has serious open source model cred predating OpenClaw, (2) more flexible persistent memory via markdown files + optional Honcho integration for building a profile of you over time, (3) a mission around humanistic and democratic AI, (4) a self-improvement loop where it writes its own skills after figuring things out, and (5) it just doesn't break — it feels like a product, not a project. The install — I used Claude to build a Mac Mini install guide from the Network Chuck transcript, and had Hermes up and running in about 15 minutes (one small Ollama hiccup aside). The install wizard lets you choose cloud models like Claude or ChatGPT, or go fully local with something like Gemma — I'm planning a hybrid setup with two Telegram bots. First real-world use: sitting in a truck running errands — With Hermes running on the Mac Mini and connected via Telegram, I asked it what it could do. It suggested Uptime Kuma for LAN monitoring — weirdly well-timed since I'd just been thinking about flaky IoT devices. I said "go install it," and it did — narrating its own troubleshooting out loud the whole time like a little robot intern. Remote access and Home Assistant — Had it install Home Assistant for smarthome control too, with plans to wire up TwinGate for remote access (it had a TailScale skill ready to fire in about two seconds, but I'm trying to keep VPN services consolidated). Daily digest via email — Hooked Hermes into a dedicated Gmail account and set up a 6 a.m. cron job that sends me a personalized morning digest: weather for my watched locations, recent breach/CVE news from select sites, and a summary of my favorite pentesting-focused Mastodon accounts. Needs tuning, but the first digest landed this morning and it's really good! The privacy angle — The real long-term win I see here is a hybrid model: feed raw, unsanitized pentest data to a local private model, let it analyze and sanitize, then hand off the clean version to a cloud model for deeper insight. Best of both worlds without the data exposure anxiety. Check out the Network Chuck video that started it all, and as always, if you're doing cool AI + security stuff, I'd love to hear about it. Find our pentesting services and training at 7MinSec.com, pentesting tips and scripts at 7MinSec.wiki, and if you want to support the show, head over to 7MinSec.club.

What does it take to bring AI into businesses that run on physical work, human judgment, and processes nobody has ever written down?In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Noah Levin, founder of Serious People, to unpack what he calls being a “free-range AI consultant.” Noah explains why most of his work is business consulting from first principles rather than AI consulting, why agents still need humans to deliver real value, and how he groups AI for any company into three buckets: a coworker, an operator, and a product or engineering capability.They explore how AI is collapsing the distance between a conversation and a working prototype, why the new IP is business judgment instead of code, why he believes everything is becoming product management, and the humility it takes to solve problems on a client's terms inside companies that aren't, and shouldn't be, run like tech startups.If you're a product leader figuring out where AI actually creates leverage, an operator weighing whether to go independent, or a builder realizing that distribution now matters more than the thing you build, this episode is for you.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

I'm excited to work with Microsoft once again as the presenting sponsors of the AI Engineer World's Fair! We'll streaming live from MS Build today for a special crossover pod with our friends at No Priors and the one and only Satya Nadella. However we did not hold back with this interview - we asked all the burning questions about uptime and Copilot that we know you have in your minds. Lets go!For almost two decades, GitHub has been the home of software, where both open source and closed flow, through commits, pull requests, reviews, actions, etc.This ecosystem flourished as open-source maintainers and contributors would continue shipping code for the benefit of the community. However as coding agents began to ship mass quantities of code - growing 1400% in 2026, it marked a new era that was both extremely exciting and challenging for GitHub.While these agents help more people ship more projects, they also significantly increase the floor of how much code is shipped, how often it is shipped, how many people commit code, and basically orders of magnitude multiples in every dimension of GitHub infrastructure:Now GitHub inevitably experiences more pressure on their infrastructure which was originally designed around human developers moving at human speed. This has resulted in a very publicly notable uptime story:So it begs the question of whether current systems around code can absorb what AI produces. Can CI/CD keep up when every idea becomes a build? Can open source maintainers survive floods of AI-generated slop contributions? Can GitHub preserve the human social contract of software while becoming the operating layer for agents?Which brings us to the perfect person to answer these questions: GitHub COO Kyle Daigle. In this episode, he joins swyx to unpack what happens when AI doesn't just autocomplete code, but starts changing how companies operate, how open source works, how pull requests get reviewed, and how GitHub itself has to scale. We go deep on GitHub's internal AI workflows: micro-skills, WorkIQ, MCP, Slack, Teams, email, Copilot workflows, the new Copilot desktop app, CLI, cloud agents, and how Kyle uses agents to look backwards across company context before deciding what to do next. Kyle also reflects on GitHub's history building webhooks, APIs, Actions, npm, Dependabot, and Semmle, why the AI era is breaking GitHub in new ways, how Actions became a general-purpose compute layer, and what Copilot becomes after code completion.Full Video PodWe discuss:* Kyle's expanded role across GitHub* How AI got Kyle coding again after years in leadership* Why GitHub rolls out AI through existing workflows instead of forcing new tools* WorkIQ, MCP, Slack, Teams, email, and GitHub as company context* Why massive “mega-skills” are giving way to small, atomic micro-skills* How AI changes summarization, communications, marketing, and analyst work* Why former developers in leadership may have a unique advantage in the AI era* Kyle's “15 agents on Saturday” workflow* How Kyle built an AI-generated executive presentation for CRO/CFO teams* Why AI changes the chief of staff role without removing the human work* GitHub Actions, webhooks, arbitrary code execution, and secure agent compute* The npm acquisition, supply-chain security, 2FA, and token invalidation* Slop forks, vendoring, and whether AI agents change dependency management* What pull requests become when most PRs come from agents* Prompt requests, vouching, AI review, and trust in open source* What counts as a “developer” when AI lowers the barrier to building* GitHub Spark, low-code, and why GitHub refuses to hide the code* 14x commit growth, Actions load, databases, monorepos, and availability* Copilot's evolution from completion to CLI, desktop app, cloud agents, and SDK* Context, memory, rules, and making GitHub “act like Kyle wants it to act”* Ambient AI, OpenClaw, enterprise security, and the new operating system for agents* What swyx should ask Satya Nadella about Microsoft's AI futureKyle Daigle* LinkedIn: https://www.linkedin.com/in/kyledaigle* X: https://x.com/kdaigleTimestamps00:00:00 Introduction00:03:36 Why AI Got Kyle Coding Again00:07:04 Running GitHub with AI: WorkIQ, MCP, Slack, Teams, and Skills00:15:39 The Golden Age for Former Developers in Leadership00:17:31 15 Agents on Saturday and AI-Generated Executive Work00:20:20 How AI Changes the Chief of Staff Role00:21:45 GitHub's History: Actions, npm, Webhooks, and Open Source00:28:45 Slop Forks, Vendoring, and AI Dependency Management00:33:57 Pull Requests, Prompt Requests, and Trust in Agent-Generated Code00:41:21 GitHub Stars, 200M+ Developers, and the New AI Builder Wave00:45:15 GitHub Spark, Low-Code, and Why GitHub Still Shows the Code00:47:38 GitHub's Hardest Era: 14x Growth, Reliability, and Scale00:59:21 Actions as the Compute Layer for CI/CD and Automation01:02:04 The State and Future of GitHub Copilot01:08:24 Ambient AI, Background Agents, and the Future of the SDLC01:13:09 OpenClaw, Enterprise Security, and the New OS for Agents01:18:03 Build Announcements, WorkIQ, FoundryIQ, and Microsoft Context01:21:41 What Should swyx Ask Satya?TranscriptIntroduction: Kyle Daigle's Expanded Role at GitHub and MicrosoftSwyx [00:00:00]: We're here with Kyle Daigle, COO of GitHub. Welcome.Kyle [00:00:07]: Hey, thanks for having me.Swyx [00:00:08]: You're not just CEO of GitHub. People know you as that. You have a new role.Kyle [00:00:11]: So I have an expanded role now. I've been working at GitHub for thirteen years and doing all things developer. Joined as a developer myself. And now, I'm also responsible as the CMO of Developer for Microsoft. And so all the kind of learnings and passion for developers and how we work with them and how we communicate and how we bring our products to market, we're also bringing that expertise to the broader Microsoft ecosystem and helping every developer that uses a Microsoft product or would like to have a sort of similar experience that they've had with GitHub over the years. So it's a different role in some ways, but it's also just building on the experience that I've had at GitHub of just sort of tell the truth, be authentic, show people how to use it and then let the products speak for themselves. Now just doing that with, all of Microsoft.Swyx [00:01:09]: We'll be releasing this in conjunction with Build. You got lots of stuff planned, and we can sort of touch on that whenever it's appropriate. I think one of the interesting things is I rarely meet a COO who's also a CMO. I think you're a very outward facing and you're very confident publicly. That's rare. Do you actually view yourself as COO? What's What is your thing?From GitHub Developer to COO/CMO: Building the Platform and Operating GitHubKyle [00:01:33]: I think for me, it's been funny. The titles have always been, a— have always felt a little strange to me. I joined GitHub as a developer? I wrote so much of theSwyx [00:01:46]: Let's bring that up. You wrote the back ends?Kyle [00:01:48]: I was going through, I was going through, some old photos, when folks were talking about how things were being built or how there was a build GitHub. I built, webhooks and worked with teams building the API, built the platform layer. Anything that integrated with GitHub, up until really twenty eighteen, I built or ran the engineering teams. And that's kind of where my the beginning of my passion always was helping people build things, deliver them to, their customers. And so being a developer, building for developers was always super unique. In a— I think as my role expanded, it became my ability to talk to not just developers, but also enterprise customers or business leaders and have this translation layer. And then through all those years, GitHub has always operated pretty uniquely. Post-pandemic, working remotely was not as novel as it was when GitHub started in two thousand and eight. But all that expertise of running remote teams, doing it well, became this sort of bigger role, ultimately turning into the COO role of how do we operate GitHub in the way that GitHub's always operated after the Microsoft acquisition. And kind of so on from there. So like for me, I think the— I've, I still code. I love coding but the problem has always been, people. It's a much harder problem to both support our own employees, a harder problem to communicate to developers and enterprise buyers what we're building why it matters, ‘cause those are two very different messages. And so getting to work in the mix of COO, CMO, also just being a dev, I think is what's kept me at GitHub for so long.AI Workflows for Leadership: Commits, Retrospectives, and ContextSwyx [00:03:40]: Apparently, you have— your commits have gone up. What's this? What's going on?Kyle [00:03:45]: Rui's called me out pretty aggressively. So I think— as you can imagine, right, you can see my normal era of being a dev In the twenty thirteen, twenty fourteen era, and then moving into management, and then ultimately the COO role. I think what you see there is me, really getting back to coding thanks to AI. I— similar to, attaching problems between how to market and how to operate a business and how to code, I find, building agents and workflows that are connecting very disparate problems to be what's driving this. So that's, some of it's writing software. A lot of it is, connecting a ton of a different data sources to, help me out. But that is completely me really diving in on the AI side in trying out our tools, trying out everyone's tools, But building for me, building for the non-technical leader, though I'm technical and how we're, able to use these tools more than just the simple, call and response that I think a lot of the non-technical, your employers, you have to get— you have to use AI, and so everyone uses, ChatGPT or Copilot or Claude or whatever. To really get into, how is this going to help me out, it— I find that it's not the I need to write a blog post, I need to those simple examples. Helping people find the workflows of, “Okay, I need you to go through all the PRs today. I need you to go through everything that we've posted online. I need you to go through what we did the last three months. Go through all of my Obsidian notes for any mentions of this then go through my transcripts at work.” We use, Teams, so, using WorkIQ, go call that MCP server, grab all the transcripts, go through all the Slack, and then build me out the plan of, what this week's messaging actually was. That's something that was, impossible because for me, I find AI in a what most of this launch here is actually, less building forward. It's actually, a recursive loop backwards. I'm always looking at what had happened first. Go back through the week and tell me what we did, what worked, what didn't work? And then tell me in the next three or four days-What would you tweak based on this sort of like looking backwards and then looking ahead a little bit? I find that to be so much more valuable, especially for like non-technical, because that retrospection is actually LLMs are very good at that. Like finding all the patterns, pulling them out, and then applying that retrospection to just a couple of days or just like a short period of time. Is all a bunch of apps that I've built and launched a bunch of, internal tools. I use the new, GitHub Copilot app, the desktop app with workflows. Every time I crack open my laptop, it's running workflows for me. It's just a ton of different stuff and of course, it all ends up on, it all ends up on GitHub.Swyx [00:06:47]: Of course. That's where, that's where, stuff is hosted. Man, there's so much to ask you. I was going to leave the how do you run a company with AI thing at the end. I have to ask one— double click one thing. You said, you are looking back at the week. You're, you're understanding what happens. When you say we That's three thousand people. How?Rolling Out AI Internally: Skills, CLIs, and Company ContextKyle [00:07:09]: I think when we started rolling out AI internally beyond engineering, right? One of the things that I was really, passionate about is like we have to do this in a way where no one has to change how they work. I don't want to have to teach you a tool. I don't want to have to teach you something new. And so for us, we tried out a few tools. Most of them don't work because I got to get you on board? I got to teach you how to use it. What we've actually ended up doing is we've built like a set of skills internally. We have we each have our set of skills, and we've just been distributing even to the non-technical folks, the CLI. And then effectively, we're just giving it access to like read about everything that we're writing. So that's for us, that's usually GitHub, Teams, Email, and Slack. So Teams for, video chat, generally speaking.Swyx [00:08:03]: Teams and Slack?Kyle [00:08:04]: so we use Teams for video communication, but we don't use it for chat. W-we— GitHub for a long history, right? We're alwaysSwyx [00:08:13]: Also SlackKyle [00:08:14]: Talking about ChatOps and like everything is built into Slack. Like every command, every flow.Swyx [00:08:18]: So even though you have been acquired for I don't know, eight years nowKyle [00:08:22]: we stillSwyx [00:08:23]: You still use Slack?Kyle [00:08:23]: it's a purpose-built tool for us, and I think the reality is that moving off of it would be so bluntly expensive? Simply because all the tooling is, baked in with that paradigm. And they both have their pros and cons but they don't work the same way at all. We still use a bunch of different tools Because it's the purpose-built tools that We need. And thenSwyx [00:08:47]: Well, the same doesn't go for the rest of Microsoft, presumably.Kyle [00:08:50]: like the like various teams like operateSwyx [00:08:53]: They make their own decisionsKyle [00:08:54]: Various ways. I think it just matters what you're trying to what you're trying to do. But we do we do work across kind of every tool that we use, and then by giving everyone access to all of that context and the new WorkIQ MCP server, which is quite cool if you do live in the M365 like world. I can ask it all these backwards-facing questions, and it's incredibly important for our teams that are working remotely. There's a lot of stuff you miss when you're not in an office, and we are spread out all over the world. So most of that is looking back. And then we post, we post either auto-automatically into GitHub issues or discussions, these sorts of like findings or like our industry reports. Like what's happening this morning, today, yesterday. A little automation gets run. We'll use the app. We might use GitHub Actions like with, our agentic workflows just to go do that run, and then we push it into GitHub, and w-we keep having a conversation. So usually for us, it's about that sort of like looking back, looking forward on the non-technical side. And then of course for a lot of those folks, it's also building an app, pushing it to GitHub pages or pushing it somewhere to host it et cetera. But it's just like enabling everyone with that power of it's going to take me a week to figure this out. Instead, we're going “Okay I built a skill. Let's put it into a repo. We'll all share that skill together, and then we'll use the CLI or now the app-” “just to run it.”Micro Skills vs. Mega Skills: How GitHub Uses AI at WorkSwyx [00:10:26]: All right. I think, I think we're going straight into like the team management and productivity thing. I think a lot of people are getting various levels of LLM psychosis. How do you manage the bloat of skills? Like everyone Has their thing, and they're Like trying to promote it to the rest of their peers in their org, right? And obviously, whoever becomes a skill influencer internally becomes like an AI leader, right? Of sorts. I assume you have those.Kyle [00:10:50]: like I think we haveSwyx [00:10:52]: And I assume it's a mess a Yeah.Kyle [00:10:54]: there's like I— like I think the reality is there's two pieces. Like first is I think that we're ending the era of these like massive, beautiful, perfect skills that are just like not any of those things. ‘cause for a while, right every tweet every day is like go download the skills, the perfectly managed thing to do this entire workflow. And I think that like what we've found and what— I was just with my team, this week, and we were talking about the skill side, and we're really talking about these like incredibly micro skills that are just doing one thing for us very well Versus a skill that's going to do I said, that full report. That doesn't really exist on our side anymore. It's usually how do— like a single skill that's going to identify the most important marketing information given any MCP server. Like this is the most important thing. Less about stitch a bunch of tools together and have it produce this mega output because then weeks go by, months go by, things change, and you want to tweakSwyx [00:11:58]: It's brittleKyle [00:11:58]: Your mega skill and you're screwed? You can't do that. And so now we're really just talking about the Legos we're using and just letting the instruction book be something we're all putting together. Whereas I think a lot of AI skills for a while have been that mega instruction book style.Swyx [00:12:15]: I've, thought a lot about Postel's law. I don't know if that's a term that is, means things to folks. It's the idea that you should be liberal in what you accept and strict in what you output, right? And I think that's like a good framing principle for skills. This is my skills, obviously on GitHub. I feel like everyone should have like how like some repos In GitHub are special repos? I feel like we should sort of reify the slash skills and everyone like give it some kind of special presentation. Anyway, so, yeah, this is one of those like download Download anything, transcribe anything, and then you can string together the atomic skills that do one thing well Into like some kind of orchestration skill that calls other skills. I assume, does that match?Kyle [00:12:56]: I like I think so. I think that theSwyx [00:13:00]: Summarize anything.Kyle [00:13:01]: Like I think the- For me, summarizing something for I do communications and PR and analyst relations and marketing and customer activities, and so my summarize everything is very different for each one of those like Contexts. What ‘Cause if I'm summarizing something for an analyst, that's a very different thing than, probably how I'm going to summarize something for like a customer meeting or an engagement. So that's I think like the difference when we're talking about the like the tools I might use on Saturday or the skills I might use on a Saturday when it's just for Kyle. Yeah, those are kind of like they have an atomic actual tool underneath or maybe skill, and then Kyle cares about X. But I think when we're talking about work and enabling the the marketers, communicators there, it's the atomic, this is what good summarization is, and then this is what I care about as for marketing for communications For whatever. And that I think is like the interesting matrix problem when we go from like a developer set of concerns to all kinds of different professions, is that what that word means to me is different than it means to you is different than it means to the analyst or the salesperson, and that's where I think the matrix mess is that we're starting to like still starting to find. It's about these mega skills but they're all just slight permutations, but those permutations are really important. It's the difference between someone reading this and going “Did AI make this?” what Or “This makes total sense, and I would expect this when I'm giving a briefing to Gartner,” or like whatever else.Swyx [00:14:37]: I think the beauty of it maybe is that you don't have to be that careful about what goes in there. It doesn't have to exactly fit as long as it like roughly is contained in there. I used to complain about plugin hell, basically. Like when you have a framework and then you have a hundred things that you need to integrate, everyone does like the GitHub used to be bloated full of these things. And now we don't need them anymore ‘cause now you just use skills.Former Developers in Leadership: AI as a Creation MultiplierKyle [00:15:00]: And like I think the most magical thing is the just that like I can just also crack it open. Like Like yes, I could go like change the how the plugin is coded, or like I could go do that now with AI, but I think there's just something more magical about getting a response back and being “That's not right,” and then you just crack the skill open, you just type English words and it's different. That building block is just, I think very unique. Once I get everyone to kind of understand how to best how to best make those changes to get the most power out of them.Swyx [00:15:36]: Is there a— you have a your peer group that Of people like you. Is there a common framing for Something I'm feeling is, which is true, is that is this a golden age for former developers who are now in leadership? Because you can wield the tools, you would know the right words, you're maybe not too close to the details. Doesn't matter. But like you're more effective than someone who doesn't come from that background.Kyle [00:15:59]: I think that like the secret has always been your ability to identify patterns and solve problems, and I think that for folks that like myself that don't code day to day anymore, that has made me successful as a developer, made me successful as a COO and now CMO. And so now that I have access to get and write code, I'm now applying that sort of like pattern finding and problem solving, and I know enough still about how to then go and say, “Oh, I want to make an app, but I don't want to break into jail or create something that's not going to be able to work or to be deployed scale or whatever.” that ability to apply all that additional business knowledge and still code I think is what makes that so interesting to me. Slightly different than I think some of the other like technical leaders that became business leaders and now are going back to their apps and updating them. Good for them? But I think the more, much more interesting thing is, well, now I have this whole new set of expertise over ten plus years. Why not take that and use that as a developer with these AI tools? So I definitely think that makes me more powerful, but I think that's true for like every dev as well. Most of the dev friends I still have also have some other underlying skill and passion. There's really talented, very kind of linear computer science software devs, absolutely. I just find that the folks that came from a different career, went to school for something else, went off and did this random thing, and then became a software dev, or were a dev, did a random thing, came back. Learning that extra set of information, learning those extra skills, and now having the power of an AI where I can crank up fifteen agents on Saturday while my kids are doing lacrosse, That's like really powerful. And I think it gets me back to that feeling of like creation, and it's very hard to replicate that in most other senses? That first time you build an app and you click it and you show someone that's magical. And so being able to do that not just in code, but across all kinds of different assets that's, that's huge. We were doing we're doing our every year we do our revenue planning. We talk about okay, what is it going to look like for next year? And of course as you imagine, there's, slideshows everywhere talking about what are we going to talk about, what's the narrative, et cetera. And so as you said I'm “Okay, well, I could probably just like build something to build this and then that way I don't have to go build the whole spreadsheet or I have to pass it to my team.” So we went through this process, and I got all the information and used the skills I mentioned. I built like a little app just to make it so I could look at some of the information in a SQLite database, more easily. And I ultimately built this entire presentation without touching any of it and I was “Okay, I'm just going to present this to our CRO, the CFO, their teams,” without mentioning I'd built it with AI. I like built a skill to make it look very much not AI driven. Just not pretty.AI-Generated Presentations, Human Taste, and the Changing Chief of Staff RoleSwyx [00:19:03]: Like a design. Yeah.Kyle [00:19:03]: Not pretty. But just like very clearly not AI. Kind of like don't do anything interesting.Swyx [00:19:08]: That's, yeah, that is valuable.Kyle [00:19:08]: Just go Exactly. We did the whole thing through. It used my notes from Obsidian, it used all the context I mentioned before, the plans, and Never came up once that it was AI generated.Swyx [00:19:20]: It didn't matter.Kyle [00:19:20]: Never once. D It didn't matter. And so now I takeSwyx [00:19:23]: This is a toolKyle [00:19:23]: I can take that tool and go, “Look, I don't want you to go build slideshows.” They're just helping us share information with each other. If this thing can do it With a little bit of crafting from you and then we can look at it together, awesome. There's no value in all that extra work. I think that the ability to, make it look humanly bad and and build a little app to, manipulate the data I think is part of, that upside for devs that are now in leadership roles. Because, the thing that I feel like I said before, this that's all a people, that's all a people problem. I know if you've used a coworker or not to build a slide deck, unless you spent a bunch of time to not do it.Swyx [00:20:07]: I know, but like it was so, I think there's a certain charm to just being blatantly AI. ‘Cause I think that you're well, you're just honest about There may be mistakes here that I cannot vouch for. So how much value is there? But anyway I think, actually the real question I want to ask is, there's a— You were a chief of staff To Thomas. And in the pre-AI world, the that job would've been a chief of staff job of like Can you prep me these slides and all that? And now you do it yourself.Kyle [00:20:35]: I still, I still have a chief of staff. Because, the difference is it's sort of the discussion every time we have some sort of technology evolution is it's not that the jobs the roles don't all go away, they just change? And so yeah, I don't have someone spending all their time building out slides for me and presentations ‘cause I don't need that anymore. But now I need that person that is able to go and find all the different connections between humans in those discussions to help me find out, okay, I should be meeting with this group and this team, and they have an opportunity, and I'm going to be in San Francisco today, I'm going to be in Seattle tomorrow. Those sorts of human connection aspects are still incredibly valuable and has always been a big part of that chief of staff role. But now just like chiefs of staff are not opening up, letters to process, they're doing emails. What It's the same thing. And now they're, they're not building out as many of these presentations because they have the the ability to have a AI take it on for, and share that with me and great. Let's keep moving ‘cause it's allowing us to go faster and make better decisions more quickly.Swyx [00:21:45]: Awesome. Well, so we can dive into more sort of, Productivity insights as you go. I did want to do a little bit of a brief history of colleague and hub. Because, we started here. And then you also involved the NPM acquisition. I did, I do want to touch upon that. And then more recently, I just want to bring up to present day where we're having uptime issues Which transparently we've already Addressed publicly, but we'll, we'll discuss in the pod. Did I miss anything? Like what, any other major highlights? Obviously, it's, it's a lot of years to cover.A Brief History of GitHub: Webhooks, Actions, Acquisitions, and Platform EvolutionKyle [00:22:15]: No the I think one of one highlight was right before the acquisition closed in twenty eighteen, I got to launch the first version of ActionsSwyx [00:22:27]: OhKyle [00:22:27]: At GitHub Universe. So it was OSwyx [00:22:29]: They're that young?Kyle [00:22:30]: It was October of twenty eighteen, I think. Yeah. Yeah.Swyx [00:22:33]: Gee, Jesus.Kyle [00:22:34]: I got to I was the engineering leader on that project and got to launch that. And then, yeah, we did acquisitions of NPM you said, Semmle, Dependabot Pul Panda a whole bunch of things. That was a bigSwyx [00:22:47]: Pul Panda.Kyle [00:22:48]: Abi is doing well.Swyx [00:22:51]: DX. Holy crap.Kyle [00:22:52]: Did well on DX. I and like that was a that was the big shift, after the acquisition. I had to join the sort of business side.Swyx [00:23:00]: So I need to hit you on some of these things ‘cause you were there. Right? And how often do I get to talk to someone who was there? But yeah, Actions. Is that the number one source of security issues on GitHub?Kyle [00:23:11]: Oh, sh I think that the number one source of, security issues is probably like all, the literal code in everyone's like underlying repositories. I would say back further than that is, if you remember I had to show in this graph was this is, I'm, didn't say this before, this is ultimately webhooks.Swyx [00:23:30]: You yeah.Kyle [00:23:31]: Like circa whatever it was.Swyx [00:23:32]: It says Hookshot in there.Kyle [00:23:32]: I forget. Yeah. Yeah, Hookshot's in there. And so like back then, it says GitHub Services. Do you see, it says Hookshot FE for front end, and then it says GitHub Services. GitHub Services back in the old days, right? You we had a repository that was Ruby code, and you could write any Ruby code in there, and then we would execute that On your behalf As a service, and then that way if an if you were trying to integrate with something, it didn't we would run it for you.Swyx [00:23:57]: And of course no containers ‘causeKyle [00:23:58]: No, ‘cause it wasSwyx [00:23:59]: Well, no containersKyle [00:24:00]: Twenty fourteen. And so there was some isolation obviously, but it was mostly the separations on the server level. That's like an example as long as the very old version of Pages, which ran on its own containerization infrastructure, not on Actions.Swyx [00:24:15]: Which like all-time great product.Kyle [00:24:16]: Pages powers the internet at this point to some degree. Those were places where like clearly there were no like issues like to my knowledge. But it was those things where I'm looking at and going “Okay, well we can't be running arbitrary Ruby code,” like on everyone's behalf. Then containerizing all of that up intoUh into actions now where yeah the containerization, is r-really good. The pinning most folks aren't pinning it the like to a particularSwyx [00:24:48]: ImagesKyle [00:24:48]: Sha, et cetera like their workflows, and so that's a big that's a big place Of pain for folks if they're just doing similar to any dependency management, just V1 or newest or latest, I think. But, that journey from that day to “Okay, we're just going to run all this arbitrary code, and, it'll basically be okay,” to now, no, we have, really good containerization. We have a new, underlying, ag-agent, containerization, service. It's like we're using it under the hood. It's through Azure. They recently announced it. The Azure, Dev Compute, but it's, very fast, very fast compute to be able to, spin up your own cloud agents, or whatnot. We're using it under the hood for some parts of the new,Swyx [00:25:36]: Microsoft Dev Box?Kyle [00:25:37]: No. Dev Compute, yeah.Swyx [00:25:41]: Hmm. Not finding it just yet.Kyle [00:25:44]: Oh, it's, it's in there somewhere.Swyx [00:25:46]: All right. Well, we'll cut that out.Kyle [00:25:47]: Sorry. But with, Dev Compute, you can, run, really fast, spin up really, small VMs really quickly, so you're doing a tool callSwyx [00:25:58]: Same conceptKyle [00:25:58]: Just do it containerize exact-exactly. So we're using that so definitely moving that direction to protect us from every every piece of code that we're ultimately running.Swyx [00:26:07]: look, that grows into the full SDLC? Code hosting was just the start and and then it's grown beyond that. Let's talk about NPM may-maybe ‘cause I think that's also, a very major point in the industry. I do think, it was looking for a home. It was, kind of struggling as a business, right? I don't know, I don't know how you would characterize that whole acquisition and how itNPM, Package Security, and Keeping the Internet RunningKyle [00:26:33]: like when we were talking to the team, I think the big thing for the both of us was to find a way to keep NPM, which was basically powering the internet then and way more so now to some degree running. Keep it going keep continuing to scale. It was having scaling problems, if I recall, back at that time. They were doing some rewrites. ItSwyx [00:27:00]: that's cute compared to now.Kyle [00:27:01]: Well, that's the thing is like when I'm talking to folks now, there's there's so many more underlying uses of NPM than there were back when we had them join in with GitHub. But that was ultimately the goal. It was really okay, we used to have pages. We have, the world's code. Let's make sure that we can keep NPM running well for the world. And we put a bunch of time and investment into fixing some of the underlying backend, changes, some of which we talked about some of the manifest work, et cetera. And then now, really trying to bring the the security posture of NPM up to speed. But, it is a unique challenge in that every move that we make to make it more secure will break a lot of people. And security is paramount. And also, we take it very seriously. We're, the any time that we have a problem with GitHub or we make a change that makes us more secure but hurts, there's, a snow day for developers or a really bad fire that they have to go put out. And so we've, have changed the 2FA policies. We've changed the way the tokens work. When we find tokens that have been exposed or potentially, exposed, we invalidate them, andSwyx [00:28:22]: I love that feature in GitHub. Yeah, it's greatKyle [00:28:23]: That creates issues, but, the but that's the thing is we're trying to push the community, forward without necessarily, doing something that is going to break the contract that's been for 15 years or close to it or some amount of years on NPM.Slop Forks, Vendoring, and the Future of Open Source Supply ChainsSwyx [00:28:43]: I think the— So now we're talking about, open source and publishing. And I think there's something here with what people are calling slop forks, which, I think Malta from Vercel is doing. And, part of me thinks, well, the way to get past any vulnerabilities, we just, let's just get rid of the concept of NPM. And we only publish source code. And anytime you want to import it you have your coding agent look at it and then adapt whatever subset you're going to use into your vendor it. But, the AI vendor it. Is that realistic? I don't know. Is it— Will that solve all our security issues? I don't know.Kyle [00:29:24]: I don't think it'll solve I so Mitchell was just talking Mitchell Hashimoto Was just talking about this today, and I think that I-in some ways, it's all all things, old or new again? Yeah, absolutely vendoring everything. Like I do I do remember twenty thirteen, twenty fourteen.Swyx [00:29:42]: This is Yeah. Let's, we must return toKyle [00:29:43]: That's what is We were vendoring everything. We were having actual discussions around, or at least I remember we were “Should we take this full thing?” “Why is this so big? We only need this one file.” And so I do think there's something true there where having either taking only what you need or the dependencies just getting incredibly small over time, I think will help to some degree, but it's not going to solve the fundamental problem, I don't think, because the vulnerabilities in an agent looking at them, there's time and time again, there's a million different ways in which we can convince an agent that this thing is, secure or not and pull it in. Or we can do static code analysis or runtime testing to say whether the code works or not. That is, I think, the step that needs to continue to be, invested in. The question is just on, how much scope. Should it be this enormous project that I'm pulling down, or should it be this piece? Either most companies are running some amount of security checking on the on the packages that they're bringing in or vendoring. That I think won't change. That's like what advanced security does to some degree, Socket does some degree. Like everyone is doing a piece of that. How we each do that like especially when we're talking to enterprise customers, is just like very different. No there's no one wants one single way to do it. And I think that's always been GitHub's, unique position in the world. I talk a lot to maintainers, I talk a lot to folks about this. It's we're— we rarely start like a process and a practice and like push it onto the community. We usually wait for the sort of like RFC process socially or literally, everyone agreeing, and then we'll cement something in. Because otherwise we'reMaintainers, RFCs, Vouching, and the Social Layer of TrustSwyx [00:31:35]: That fits your role in the ecosystem, yeahKyle [00:31:36]: We're GitHub. Yeah, we don't want to shape the whole thing. We want it to be figured out. But like how do you balance that like sort of Role in the industry to keep everything as secure as is possible and make sure that you're you're not going to be compromised as a human, ‘cause that's usually how it all happens. And Not not create a process or lock us into a flow that you're not going to or like Mitchell's not going to or other open source projects aren't going to like. That's always been a tricky balance for us, and I think that's something that we haven't talked about enough is we're not going to be able to fix everything for everyone in a way that everyone is going to like. So tell, help us, tell us what is working. When Mitchell was talking about, the Upvote, the upSwyx [00:32:22]: I was going to bring up his thing. Yeah.Kyle [00:32:23]: I forget what it Yeah. When he's talking to us, I was chatting with him and talking to him about this and I put it on Twitter and we talked to, also over DM, was “We're going to keep working.” but I think the important thing is I do actually want to hear what isn't working for you. And as, be as specific and clear for your project as is possible. And to every piece of credit over the many years that we've known each other through the industry, he's always done that and I appreciate that ‘cause there are places that we need to fix up, and we hear from him, and we'll fix up just like we do all other kinds of maintainers. But that that process between making those types of improvements and being more secure and like creating, I forget what he calls it's not the proof process, not the claims process. Do what I'm talking about? He has that he his projects have a way for you to kind of like,Swyx [00:33:13]: VouchKyle [00:33:13]: Vouch. Thank you. Yeah. He has like the vouch system for saying, “Hey, you should accept my PRs.” That's beenSwyx [00:33:20]: I just built this into GitHub. I don't know.Kyle [00:33:22]: Well, see, but that's the thing is that you say that and like he and his community really likes this and then I'll go talk to other maintainers and other maintainers, globally, and they're “No, this doesn't work for me.” And that is the tension, but also the kind of beauty of GitHub, depending on which way you look at it is we want to help maintainers, so we create all these tools to let you have more control over how much you take in from AI and PRs. But you can also use this. What You can go use this project, and if it takes off and becomes the kind of mostly standard, then yeah, we probably wouldn't enforce it but we would add it in because that's the flow that we tend to do?Swyx [00:34:02]: I hear a lot of people don't know the history of the pull request. And like like that's how, that's something that GitHub standardized basically.Kyle [00:34:08]: Yeah. It was a very messy process Like beforehand, and now the we have the benefit of it being the process? And now we have to go and Figure out the next best process or what adaptations change, or what does a pull request look like when eighty percent of your PRs are just coming from your agents and not From other devs?Swyx [00:34:31]: Do you like the prompt request idea from Peter?Kyle [00:34:34]: like I think that for each like each idea I think has its merits. I'm not, I'm not avoiding saying anything good or bad, but I feel like I've seen a version of we have that we have entire Thomas' store. Take all the assets of what you've built and put that in. I think that's got great ideas. There's all these various permutations of the PR flow, but I think the reason why there's not a single answer is ultimately we're trying to codify trust. We're trying to say “Okay, if Sean reviews this I'm going to trust it because you're Sean or you're the senior dev or you're the whatever.” And right now, when we are working in a flow where an agent writes code and another agent reviews code and then Kyle goes and looks at it the trust is kind of diffuse. And most of the tools that we're talking about are talking more about verification flows. We have more assets to look at, so I can probably say whether this is a good PR or not. But that still doesn't solve, I think, the human problem of I'm looking at a PR and I want to know if I can trust it. And we're still, we still tend to use human signals for that? Mitchell approving it or Kyle approving it or whatever. And so I think that's, I think that's why most of these options haven't really solved it is because, it's a social problem ultimately. It's a it's a human problem to review it and agree. Or you fully trust the tool and you're imbuing that tool with full trust Which I think in some cases that absolutely exists.AI-Generated PRs, Trust, and the Waymo AnalogySwyx [00:36:08]: And so like in the same way that there will be a tipping point in society when we don't allow humans to drive anymore Because machines are measurably better than Than humans. I'm looking for that tipping point, right? Like Mythos is ridiculously expensive. Someday we'll have Mythos on a desktop. I don't know. Will, does that change the equation?Kyle [00:36:30]: I think it's more I took a Waymo here, and I was on my phone and not looking around at all. There are other, self-driving, vehicles that I would not trust while, staring at the road. And I think that trust is something that isSwyx [00:36:48]: Is this a Zoox thing? What is itKyle [00:36:50]: I think that is both. I think that is both. LikeSwyx [00:36:53]: There's Zoox in this robo taxi. That's it. It'sKyle [00:36:56]: Well, depending on what level Of self-driving. But, my point is sort of that I think part of that is I strongly believe that's, a mixture of verifiable proof. Like how many accidents, how much data, and so on, and the human aspect of how I feel when I'm in this car, what it tells me, et cetera. And so that's why I think some of the like Some of these some of our AI tools tend to, imbue me with more of that feeling of trust, even if the data says this is 100% accurate. I feel like it takes more time for us to go, “Should I trust this or not?” And that's in the soft sense of, startups with high agency, weekend projects, and open source. And then there's enterprises and regulated industries and everything else, and that is an even harder problem to go solve because even when it is fully verified, not only do you have to have trust from the humans on the team, you probably have to have trust from multinational,Swyx [00:37:55]: Oh my GodKyle [00:37:55]: Multi governments around the world and regulating agencies. And so that's where I feel like until we tip over to your point on the sort of like human EQ side of it. I feel okay this feels okay I've been proven enough. Then the ball will start to roll a lot faster, where we'll end up getting to the “Okay, we can trust this,” and feel good about it in the Most difficult of cases.Reputation, Sponsors, Stars, and Bot Activity on GitHubSwyx [00:38:18]: If human trust is the thing that matters, I feel like GitHub as the developer social network could maybe do more there. Like vouchers are one system But, we have star counts, and then we have Contributor rights, and that's it. And I feel like there should be more in that space. I don't know if there's any other design decisions there.Kyle [00:38:37]: I think that one of the places that we don't really expose right now in this sort of way is, some degree of like hard trust and support, which would like for me is like sponsors is a good example of that.Swyx [00:38:49]: Ah.Kyle [00:38:49]: It like costs you something. To prove that I believe in your project and I trust you To some degree or I want to support you at the very least.Swyx [00:38:56]: Solve payments for open source. Why not?Kyle [00:38:58]: I think that I think that like as we keep moving forward, right, there's more and more projects where I'm, adding more and more dollars into sponsors personally because I want to like support them, but I also like know of I've probably never met them in person, but, I know of enough of their work that I want to support them. I think the thing that I don't love about stars or commit counts or anything else is ultimately, even with all of the various, abuse and de-spamming and deduplication work that we do or anti-abuse work that we do, these are all, not active social signals. They're passive ones that are ultimately gamifiable. And you may trust me, but another open source maintainer may not. And on what heuristic should you be, trusting me? That I think, is kind of where some of our thinking is right now. What signal from me is most important to you? You— If you can define that potentially, honestly in an agentic workflow that's what we see some of these open source projects do, where you have GitHub actions, and then you have like an agentic workflow that's calling AI, and you're setting these rules. Like if Kyle has submitted and gotten accepted PRs across any given project and has a social handle tied to his account in GitHub, and that social account's older than a certain amount. Really complex measures that matter to you ‘cause most open source projects have that heuristic built into their heads, if not written down in the contributing guidelines. You could take that and then go apply that and then just say, “Oh, we're not going to accept this PR.” Building something that is, I think, malleable to everyone's needs, is a little bit better, rather than going “Hmm, this account's too young.” Because what happens? The attackers just go and go and create a multitude of accounts, and they wait Until it ages up. Needs to have a certain amount of stars. That's how star inflation happens. Need to have a certain amount of reposSwyx [00:40:46]: Oh my God. YeahKyle [00:40:47]: With PRs. They all just create repos and submit PRs to each other, and then they come in and do something nefarious. And so, it's hard. It's hard to find the measure. So I think we're, we're looking more at how can we provide you tools so you can kind of choose what's best for you. And of course, we'll give you some standards. But the trust vector, gets down to I don't know, some version of like human digital ID like everyone's been talking about. Like how do I prove that it's meSwyx [00:41:13]: Give me your eyeballsKyle [00:41:14]: On the internet. Give me your eyeballs. Exactly.Swyx [00:41:18]: The I got to keep moving on Topics, but obviously I can go all day on this stuff because, I've been involved in GitHub and open source My entire professional career. Stars. Very superficial. Everyone knows it. But I think time to one hundred thousand stars is the fastest I've ever seen. Like people just reached that in I don't know, months. And then like at the same time I don't trust it right? Like how many of these are real or bot or like whatever. I don't know how to ask this but like what can we do about it? LikeKyle [00:41:49]: JustSwyx [00:41:49]: Is stars broken? Is stars fine?Kyle [00:41:51]: I think that there's kind of two, there's like two pieces. Obviously we're constantly like trying to find ways in which like your users are producing spam, which would, I would include like be like only doing star gamification. When we find them, we pluck ‘em out and we,Swyx [00:42:08]: But it's like a Whac-A-MoleKyle [00:42:10]: It's a hundred percent like a Whac-A-MoleSwyx [00:42:11]: There's no wayKyle [00:42:11]: Now, powered by AI to be helpful. But I think more so what I'm seeing is, a lot of the like fastest time to X tends to be because we're now inviting so many more people into like software development on GitHub That like the zeitgeist is just swarming? And it'sSwyx [00:42:32]: It's not just developers anymoreKyle [00:42:33]: And it's not you and I. Like like however you want to say like what a developer is it's not just folks who have been coding for a very long time. It's folks that have maybe started coding or only joined in since the AI era. And nowSwyx [00:42:44]: what's the latest Octoverse number? I know eighty million was my lastRem- member that a number of developers on GitHubKyle [00:42:50]: Oh, we're over 200 million now.Swyx [00:42:53]: Okay. Well, so you see?Kyle [00:42:55]: Like over 200 million developers now.Swyx [00:42:56]: But it's not developers, right? It's, it's people with a GitHub account.What Counts as a Developer in the AI Era?Kyle [00:43:00]: So, so this is, this is the biggest debate that I would say, everyone loves to have at GitHub at this point. From my perspective, right, I think that there's, there's clearly a difference between, professional enterprise developer and then developers. But I think that I think that the idea that we should be I don't know, splitting hairs or segmenting developers in the early era of software development is, not worth our not worth the time. SoSwyx [00:43:29]: When you get into gatekeepingKyle [00:43:31]: 100%Swyx [00:43:31]: What is a developer?Kyle [00:43:31]: 100%. ‘Cause I wasn't a developer when I started writing code? I was going toSwyx [00:43:36]: Oh, no. I made— I cloned a thing, seven years before I learned to code. And then I and then I wrote about my learning to code journey, and people Just called me a fraud ‘cause I had a GitHub account. And I'm “Well, no, I just use GitHub, but I don't know-” “I didn't know what I was doing.”Kyle [00:43:49]: I I remember that. I remember those sets of posts, and like that's, that's b******t. So I fight very clearly on the line of, if you create code, if you have an idea and you create it into some way of, I'm, I'm going to run it and use the app right now, you may still use AI in that moment, but that's okay. At some point you're going to do the next thing. You're going to create a big— You're going to have to learn about this database. You're going to fix a bug, whatever. We're all on some same journey, and those people are also hearing about the great new agent skill package or a new CLI tool or a new whatever. And those projects are going up because you want to be a part of this moment, just like I wanted to be a part of the Ruby community when Ruby was popping off when I started becoming a developer, and now I can just click the star button. And so I think that yes, there's clearly some amount of like spamming and game gamification that we're working against, but I really think we're just seeing this whole new cohort of folks that are moving from technology to technology because they're not working on a 20-year-old software application. They're working on a side app that they built on the weekend for their friends or for their new idea or whatever. And that's how you see these enormous charts going up and to the right with With stars.Swyx [00:44:59]: I think something that's remarkable is the persistence or, that GitHub extends to those folks. Usually when I see platforms go into a new audience, they usually have to, have like a second platform with a different name that wraps the main platform. But somehow GitHub has been able to sort of persist and extend, and it's friendly and whatever? So it's, it's nice.Spark, Low-Code, and Always Showing the CodeKyle [00:45:19]: I that's partially why I think as we've tried to move into I don't know, more like low-code-y things. We so we started working on Spark as like a way to, build an app and run it. I think that the reality is that we anytime we try to, kind of put even a veneer on top of it without when we put a veneer on top of something, we still always show you the code. That's kind of like a tenant. We're never going to, hide the code from you ever, because whatSwyx [00:45:52]: Why would you?Kyle [00:45:52]: That's, yeah, that's the whole point? However, I think that what we learned with things like Spark is that really the value of Spark for most devs is, easy runtime. And you may have a runtime or a host that you're going to use for that or you just build something and run it but, the package of making that even more simple isn't really needed for folks that are trying to build software and not just trying to build, an app, which is, slightly different, a slightly different goal. So I want to get you in, I want to get you comfortable. I think the best thing for me as, someone that did not traditionally come into software dev way back, I want anyone to be able to breach that chasm and not be in the I don't know, I feel like we're, we're still in an era of, STEM. I've got a 12-year-old and an eight-year-old, and it's “We got to get ‘em into STEM,”? Over and over. And I like I do, I do the things that good parents do. I was “Oh, you want to do coding?” “Yes, I want to do coding.” Do coding classes. But now they're just not afraid of doing software. And that's, I think, the thing that's honestly kept me at GitHub for so long. Anyone should be able to go and build a thing, just like I can go change a light switch in my house. I'm not going to go into the breaker box ‘cause I'll probably kill myself? But, I can go change that light switch. Everyone should be able to go and say, “This fricking app doesn't do what I want. I want it to work like this.” And that I think, is what's kind of kept us all connected with GitHub through the years and some and during the easiest of times or in the hard times because of that opportunity of, we're the home for all developers, and we want everyone to be able to have that feeling that we've had of, had an idea, I created it and holy s**t here it is.Swyx [00:47:37]: Here it is. All right, I'm going to try to do more spicy questions.GitHub's Hardest Scaling Moment: Growth, Agents, and UptimeKyle [00:47:42]: Great.Swyx [00:47:42]: Is it an easy time now or a hard time?Kyle [00:47:45]: Oh at GitHub? It's a hard time. Like, it's a hard time and also, I was just with my team and I said, “This is also, the best and most exciting time that I think I can remember at GitHub.” BecauseSwyx [00:47:57]: Best of times, worst of times. It's never oneKyle [00:47:59]: ‘cause we've we were talking about Octoverse reports and, usually we do an Octoverse report once a year, and we look at the numbers, and we say, “Oh my goodness.” I was at Universe in October saying, “This was the fastest year of growth that we've ever had,” right? And now we're doing more in a month than we did in a year last year.Swyx [00:48:20]: You're talking about PRs.Kyle [00:48:21]: Commits.Swyx [00:48:21]: Commits, yeah.Kyle [00:48:22]: PRs. Kind of like you name it by roughly every measure that we're looking at, there's some amount of sort of growth that is much bigger, and that is breaking our system in new ways, not old ways. Like webhooks were always notoriously, unreliable over the years?Swyx [00:48:38]: Whose fault is that?Kyle [00:48:39]: not anymore mine, but for a period of time, I'm sure you could pull up a tweet that was “It was me. I'm sorry.” but, now, that got rewritten at a scale level that is still working and is not having problems today. Now what we're finding isn't just the isn't the-The simple stuff that folks are on the sometimes on Twitter or on the internet are “Hey, why is this like this?” Sure. There's absolutely silly problems that we shouldn't exist. But now we're talking about, unique, novel permission problems that happen only at a scale across all different objects or whatever, that now we have to go rewrite this underlying system. And so it's, there are problems that yeah, caught us off guard, which I think I said. Like the growth is astronomical, but also we're making such material progress in that I'm excited once we're once we've kind of like reimagined the underlying foundation layer, or pieces of it at least, what's going to be possible when it's not just all of us and all the new people that are being developers and all of their agents and all the tools like working together. Because that'll still happen in that in that GitHub tool, that GitHub community. But it's a it's a hard day anytime we can't give you what you're looking for. We have the same problem internally. We operate through github. Com. Of course, we have backups when things go down and whatnot for our own operations but we feel it too. If it's not working it's not working for us, and that's kind of like the promise of dogfooding for GitHub. It's always been true. We're using the same tool you're using. We're not using a super secret version. We and so we also need it to be great for us for our customers of course for open source. And now an exponential growth of agents, Doing it too.Swyx [00:50:32]: I wanted to load for audio listeners who maybe haven't seen your tweets, whatever. So one billion commits in twenty-five. Now it's two hundred and seventy-five million per week on pace for fourteen billion this year, if growth remains linear. Is that still the pace? I don't know. It's been aKyle [00:50:48]: it's, it's speedingSwyx [00:50:50]: Roughly.Kyle [00:50:50]: It's still speeding up.Swyx [00:50:51]: It's, it's April, so yeah.Kyle [00:50:51]: Exactly. This was in April.Swyx [00:50:53]: All right. So basically you have fourteen x growth, right? Year on year on year. And I think that's a scaling issue. I think, I'm going to like try to really steel man this thing. People have experienced fourteen x growth. They haven't had your downtime. And that's like— C-can we go dig into that? Why? Like what's the— what broke? What are we doing to fix it? Like just anything for the community to reassure them.Why GitHub Reliability Is Breaking in New WaysKyle [00:51:18]: so there's a Like I was saying, there's a couple different places that we've seen the growth issues. Some of the growth issues, which is why we're t— I was talking about pushing hard on more CPUs is in actions in particular. More tools, more agents, more PRs mean more builds, more builds mean more CPUs. And so we are expanding through not just our data center, but obviously we were talking about moving to Azure and moving to, adding an additional cloud compute because we simply need more CPUs. Not as much GPUs. We definitely need GPUs too, but now CPUs are becoming a factor.Swyx [00:51:53]: It's very CPU heavy.Kyle [00:51:54]: Underneath the hood when it comes to some of the underlying services, we've been breaking up over the years our database infrastructure, so that way we have, more cognitive separation between our the various services. The place that we continue to have pain is in, permissioning. And so right now m-many of our permissioning layers sit into a database that we like internally call MySQL One, and old Hubbers will know what I'm talking about. And so we've been pulling things out of MySQL One for many years, because like and we use we use Vitess and we use other technologies to shard and we do it as one bigSwyx [00:52:31]: Famous thing, PlanetScale was born from this andKyle [00:52:32]: A hundred percent. Sam Old Hubber and friend. And so finding these opportunities to like break this out and then do that globally. The other thing that I think is interesting and both a unique opportunity and tricky is we also run everything I just talked about in a black box container with GitHub Enterprise Server for people that work on-prem. So we take everything I just said, and we also do it on-prem, and we also do all of that and we do it in a data residence setup for customers that need to have their data in a single location. Each of these has the unique characteristic around how we're sort of storing that data in MySQL or in a permissioning setup. That's where some of these outages have oc-occurred, where you're seeing it more like across the board rather than just like the one pieceSwyx [00:53:17]: Filling the databaseKyle [00:53:17]: Isn't quite working. Exactly. And so part of it is that. I think there's been some other places where agents are much more or more projects appear to be moving towards monorepo versus we were going the other direction for many years in the industry. Repos were smaller, but there were more of them, and now we're seeing the opposite. Repos are bigger, and there's, not fewer of them per se ‘cause there's new growth, but, we're just seeing many more big repos. Big repos, big monorepos have always had, a unique performance problem. Because each one, is slightly different if, particularly if the underlying blobs are incredibly big Inside the repos. And so we've done a ton of work that you pro— like most people haven't probably experienced, unless you're in this case of the monorepo. But that Git, infrastructure layer improvement does help the overall, system because, many of the improvements that make monorepos work better make all repo infrastructure work better. And so, I could kind of keep going down the line where it's another thing where we're moving out of, We're changing how we do j I'll just say job queuing for lack of a better, explanation changing the underlying technologies there.Swyx [00:54:32]: I spent two years being a job queuing guy, so.Kyle [00:54:34]: And so it's kind of a little bit of a little bit of piece by piece, and it's mostly because as we were— as it was built, we built everything in a way that assumed, I guess in some ways that the size of the pipe of work was going to remain the same. There's just going to be more people coming through each of those pipes. But instead now in places whereA git push was, generally a certain size for example, is now, no longer true.Swyx [00:55:03]: Oh, yeah.Kyle [00:55:03]: OrSwyx [00:55:05]: I push a thousandKyle [00:55:06]: On the average. 100%Swyx [00:55:06]: A thousand line commits like dailyKyle [00:55:07]: Same thing with PRs. Like PRs same thing. And like we've talked about optimizing that and making changes where, and there were technology choices that did not work there? And it got slow, and it didn't It was not fast. It did not do what the users wanted. And so we've been reeling that all out and going “Okay, that's just not right. Let's stop putting good money after bad and do it the do it the right way or the right way now.” So there's It's a it's a lot of things, not quite when I've experienced scale at GitHub historically, it's almost always two options that we've used. We go vertical scaling, particularly with databases, right? And we go horizontal scaling. Oh, we just have more people using this service. Great. We're going to add more servers, and we rack them in our data center, or we use it in a cloud. And now we're sort of in a like diagonal, where like vertical doesn't really work anymore. Horizontal isn't work either because we're all We all have some CPU or GPU constraints in the world now, and now we have to go in and like crack open services that have been running for 10 or 15 years and go, “Okay, the rules of this service have legitimately changed, and now we have to rewrite them.” None of this is an excuse. This is like we're We have to do the work. We have to make it better.Swyx [00:56:22]: actually as an infra guy, I'm “This is like one of the most fascinating scaling challenges I've ever seen.”Kyle [00:56:26]: That's that's, that's the thing that's the thing that it's hard for Like when we weren't talking about it publicly, and I was like I came out, and I was “Hey, I just want to explain what's going on.” Part of it comes from a very old GitHub ethos, which is it's our it's our uptime. It's down. W What I know you're a developer, so you're, you're inclined to want to understand more what's going on. But at the same time us going “Hey, this service didn't, perform the way we expected, and now we have to go change it,” we weren't We're not trying to hide anything from you i

Soutenez-nous sur patreon.com/iweek ! Et rejoignez la communauté iWeek !Voici l'épisode 281 d'iWeek (la semaine Apple).Tout, tout, tout sur la keynote de la WWDC26 !Enregistré en streaming, mardi 2 juin 2026 à 18h30, enregistrement accessible en direct pour nos soutiens Patreon.Présentation

Bingo bingo bingo binguero. Para la uvedoble uvedoble de este año. ¿Cuántas acertaremos? Nuestras predicciones para la inminente WWDC de Apple a través del clásico bingo. El tema central que domina nuestra conversación es el papel crucial de la inteligencia artificial, especulando sobre la llegada de un Siri con funciones de chatbot, la posible mención a la tecnología Gemini de Google y la imperativa renovación de herramientas generativas como Image Playground.Otras opciones en la quiniela: las posibilidades reales de ver nuevo hardware en un evento enfocado al software, evaluando la viabilidad de la presentación de nuevos Mac Studio o Mac Mini con procesadores M5 y posibles actualizaciones para el Apple TV. Además, comentamos los esperados cambios estéticos y funcionales en los próximos sistemas operativos, desde correcciones en el diseño visual y el fin de los nombres californianos para macOS, hasta la búsqueda de pistas en el código que adelanten un futuro iPhone plegable o un Mac con pantalla táctil.Para finalizar, abordamos una intensa polémica externa pero muy vinculada al universo de Apple: el controvertido diseño del nuevo Ferrari eléctrico en el que ha colaborado LoveFrom, la firma creada por Jony Ive. Explicamos la desmedida toxicidad y los ataques sufridos en redes sociales, y reflexionamos sobre cómo sus líneas estéticas podrían ser la representación más fiel de cómo habría lucido el cancelado «Apple Car» si hubiera llegado al mercado.

Apple estaría preparando uno de los cambios más grandes de los últimos años… y esta vez no se trata solo de diseño, colores o pequeñas mejoras.En este nuevo APPLEaks, analizamos cómo iOS 27, la nueva generación de Siri, Apple Intelligence, los futuros iPhone 18 Pro, iPhone 18 Pro Max y el esperado iPhone Fold podrían formar parte de una misma estrategia: llevar cada vez más inteligencia artificial al dispositivo, con procesamiento local, más memoria, más almacenamiento y modelos mucho más potentes funcionando dentro del ecosistema Apple.Pero ojo, porque lo que al principio suena como una gran noticia también puede traer una consecuencia bastante incómoda: muchos usuarios podrían quedarse afuera de las funciones más avanzadas si no tienen un iPhone reciente. También hablamos del futuro de las Mac con Apple Silicon, el final progresivo de Rosetta 2, las posibles novedades de watchOS 27, los nuevos HomePod, Apple TV, Mac Studio y Mac Mini, además de los rumores más fuertes sobre gafas inteligentes estilo Ray-Ban, servidores con chips NVIDIA, cámaras más avanzadas para el iPhone 18 Pro y las primeras filtraciones del iPhone Fold. APPLEaks vuelve con un episodio cargado de rumores, filtraciones, señales de alerta y una pregunta clave:Capítulos de YouTube00:00 Bienvenida a un nuevo APPLEaks00:35 El dominio del MacBook Neo y los problemas de producción01:14 Rosetta 2 llega a su final y las Mac Intel quedan complicadas02:45 watchOS 27, salud y Apple Intelligence en el Apple Watch04:20 iOS 27 y la señal de alerta: ¿vas a tener que cambiar de iPhone?06:03 Siri, IA local y modelos Gemini dentro del iPhone08:07 Habilidades, modelos pequeños y más almacenamiento local09:52 Sponsor: SiaImport10:59 El nuevo Siri estilo ChatGPT y la integración con Spotlight12:50 Cinco posibles productos nuevos de Apple14:10 Gafas inteligentes, Vision Pro 2 y el futuro de Apple Intelligence15:18 Chips NVIDIA, centros de datos y el costado cloud de la IA de Apple16:15 Cambios de diseño en iOS 27 y ajustes tipo Snow Leopard17:02 iPhone 18 Pro: nueva cámara, obturador mecánico y sensor más avanzado19:10 Pantalla más grande y posibles cambios de diseño en el iPhone 1819:55 iPhone Fold: filtraciones, fundas, bisagra y pantallas21:36 Cierre y despedida #APPLEaks #Apple #iPhone18 #iPhoneFold #iOS27 #Siri #AppleIntelligence #MacBookNeo #watchOS27 #idearVlogApple, APPLEaks, idearVlog, Fabián Fernández, Apple Intelligence, Siri, iOS 27, iPhone 18, iPhone 18 Pro, iPhone 18 Pro Max, iPhone Fold, iPhone plegable, MacBook Neo, Rosetta 2, macOS 28, watchOS 27, HomePod, Apple TV, Mac Studio M5, Mac Mini M5, Gemini, IA local, inteligencia artificial Apple, gafas Apple, Vision Pro 2, Mark Gurman

Show 313: Thinking Out Loud w/Friends of SoundBroker ZoomCast Show:  Please join me today on the panel with Devon Sheets to discuss the new Mac version of De-Feedback and the comparison of Source Intelligence from the L-Acoustics. I want to thank the following for appearing on the panel today and make this meeting such an enjoyable learning experience:  Bruce Fallis, Chris Cecil, Chris DiCorpo, Chris Nelson, Chris Russo, Curt Hare, David Dansky, David Elliott, Denis Canuck, Derek Miller, Devin Sheets, Duane Sheets, Fred Domenigoni, Gregory Baker, Gregory Woloszyn, Javi, John Lackner, Jorge Arronte, Ken Newman, Ken Porter, Marty Atias, Metalmax, Riley Arbuckle, Rob Robbins, Steve Gill, Tony Villarreal, Wayne Pierce Discussed during this meeting: D-Feedback and comparing it to L-Acoustics' new Source Intelligence product. Devin discussed the development of D-Feedback version 2, which will include more aggressive denoise capabilities, zero-latency blind de-echo functionality, and potential higher latency modes for better performance. The group extensively discussed the Mac version of D-Feedback, with Devin noting that while the AU format works well with 8 instances on a Mac Mini M4, it's still considered beta due to occasional sample drops. The conversation covered L-Acoustics' Source Intelligence, which requires L-Acoustics amplifiers and has a subscription model, limiting its utility for engineers working with different speaker systems. Devin also announced plans for a new surround up-mixing plugin called Easy UpMix that will convert stereo content to multi-channel output at zero latency, though specific parameters and compatibility details were not finalized. The meeting included discussions about various use cases for D-Feedback, including broadcast applications, intercom systems, and home recording scenarios, with several participants sharing positive experiences using the plugin in different environments.Gregory presented a report on AI data centers being built in Dubai and Saudi Arabia, highlighting concerns about submarine data cables in the region that could be damaged, potentially affecting 20% of global AI compute powerJorge reported successful testing of option 2 on an Intel Mac 2020 with four running instances over three days with zero drops, connected via USB to a DM3 with less than 5ms latency. Devin shared his experience running eight instances on a Mac Mini M4 over Dante with 6ms round trip latency, noting the affordability of the Mac Mini at $800 compared to other options. The discussion concluded with Ken raising questions about L-Acoustics' Source Intelligence feature, which requires specific networked amplifiers and is tied to L-Acoustics systems, making it expensive to implement.---Stop guessing and start growing. Join Jan Landy and his knowledgeable, affable panel of friends and colleagues for a no-filter discussion on mastering the professional life—with more laughs than a comedy club.Our ZoomCast isn't just a fountain of industry knowledge; it's also an opportunity to laugh. Think of it as therapy, but with more jokes and fewer couches. Stay updated on life and world events, share your thoughts, and enjoy multiple good chuckles along the way. -JOIN US LIVE EVERY WEDNESDAY:- 4:45 PM Pacific (UTC-7) / 7:45 PM EasternHow to Assist:Offer your support by giving us a Like, opinions in the comments on Facebook, LinkedIn, and YouTube and remember to share the show with your industry friends.

In this episode of the Liquid Weekly Podcast, hosts Karl Meisterheim and Taylor Page are joined by Sandesh Kulai, founder of STOQ by Artos Software.Sandesh shares his journey from building early Shopify apps to working at Shopify, then returning to app development full-time with Artos Software. The conversation dives into the real complexity behind preorders, back-in-stock alerts, selling plans, deferred payments, storefront integrations, and supporting apps across a wide range of Shopify themes.Sandesh also gives a behind-the-scenes look at Engine Room, Artos Software's internal AI-powered operations dashboard, and shares practical advice for app developers on treating the business itself like a product.STAY CONNECTEDSubscribe to Liquid Weekly for more expert insights:https://liquidweekly.com/EPISODE HIGHLIGHTSSandesh's Shopify Origin StoryBuilt for Shopify RecognitionFrom Back-in-Stock to PreordersSelling Plans Beyond SubscriptionsWhy Preorders Are More Than a Button ChangeStorefront and Theme Support24/7 Human SupportEngine Room and AI OperationsBuilding the Business Like a ProductFIND SANDESH ONLINE & RESOURCESLinkedIn: https://www.linkedin.com/in/sandeshkini/Twitter/X: https://x.com/heysandy801STOQ: https://www.stoqapp.com/STOQ on the Shopify App Store: https://apps.shopify.com/back-in-stock-restock-alertsTIMESTAMPS00:00 - Cold Open: Fighting Operational Slowdowns with Engine Room00:52 - Introduction & Sandesh's Birthday03:02 - Built for Shopify Recognition at Editions.dev07:50 - Rails, React, and the STOQ Tech Stack08:52 - Sandesh's Origin Story: Apps, Shopify, and Product Management12:10 - From Restock Rocket to STOQ13:36 - Why Preorders Are More Complicated Than a Button Change15:16 - Selling Plans, Purchase Options, and Deferred Payments18:38 - Deposits, Partial Payments, and Charging Customers Later20:45 - Using Preorders and Waitlists for Better Inventory Decisions21:36 - Conversion Analytics for Preorder Campaigns24:32 - Listening to Merchant Feedback and Expanding Product Direction28:12 - Supporting Storefronts, Themes, App Embeds, and Selectors30:50 - Building 24/7 Human Support33:01 - Scaling Support from Founders to a Team39:58 - Engine Room: Artos Software's Internal AI Dashboard41:12 - Tracking Merchant Sentiment, Reviews, Web Vitals, and Escalations44:15 - Using AI to Keep the Team Focused on What Matters46:02 - Co-Founder Dynamics and Long-Term Partnership52:47 - Advice for App Developers: Treat the Business Like a Product54:13 - Shopify Dev Changelog Highlights01:01:49 - Picks of the WeekDEV CHANGELOGMore admin intents now support Settings: https://shopify.dev/changelog/more-admin-intents-now-support-settings[action required] Ship and pickup in one order now available in feature preview: https://shopify.dev/changelog/ship-and-pickup-in-one-order-feature-preview[action required] App deployment in CI/CD is now available for all apps: https://shopify.dev/changelog/app-deployment-in-cicd-is-now-available-for-all-appsPublish and unpublish product variants independently from product: https://shopify.dev/changelog/publish-and-unpublish-product-variants-independently-from-product[action required] Bots and agents should identify themselves via Web Bot Auth: https://shopify.dev/changelog/bots-and-agents-should-identify-themselves-via-web-bot-authTarget discounts to specific markets: https://shopify.dev/changelog/target-discounts-to-specific-marketsShopify App Pricing: charge for usage, recurring subscriptions, or both: https://shopify.dev/changelog/shopify-app-pricing-charge-for-usage-recurring-subscriptions-or-bothPICKS OF THE WEEKKarl: A retro Radio Shack 1680 chess computer from 1996.Sandesh: Setting up a Mac Mini to experiment with Hermes and personal AI agent workflows.Taylor: The SDA Toronto guide built with Trudy MacNabb for people heading to Shopify.dev, including events, restaurants, work spots, and local recommendations.

So many people need remote recording for co-hosts and guests. Yet in the 20+ years of podcasting once we get a solid solution, they upgrade the software and we're back to always having a backup "Just in case." So I reached out to my audience to see what they used and they chimed in.The HistoryBlog Talk Radio (now gone) was an EASY choice but sounded like the phone. There was Skype (also gone), but everyone needed an account, and for the technically challenged, it was intimidating. Squadcast came on with a winning strategy with a firm understanding of what podcasters needed. Make it simple. Make it reliable.Then Video Entered the PictureThen tools like Squadcast added video, and while I never had an issue I know people who spoke of "Drift" where the audio didn't line up with the video (making it look like a bad Godzilla movie). There are tools like Evmux (browser based), Ecamm (Mac Only), Descript (browser based), and Streamyard (brwoser based).Text Based EditingWhen Descript entered the picture with text based editing (you edit the transcript, and it edits the audio) it became impressive after a few years. They purchased Squadcast, but haven't implemented all the tech from Squadcast (like being able to schedule a future episode in their "Rooms.").All in One SolutionsThis is one of the symptoms of a "All in one" solution. They do most things about 75%, but the details in that last 25 is what makes the difference. Riverisde started as remote recording, added text based editing, clip generation, and recently podcast hosting (the podcast hosting is very basic see video as of May 2026).It May Not Be All Riverside's FaultI wrote a blog post about all the things podcasters could do to be ready to make great recordings with Riverside.If you want Riverside to work, don't overcomplicate it:Solid internetUpdated browserDecent computerEnough disk spaceDon't rush the uploadThat's it.Do those things, and suddenly Riverside becomes “magically reliable.”What I Use For Live Streaming and RecordingBefore moving to a Mac computer, I use Streamyard, and loved it. When I got a Mac Mini, I switched to Ecamm. It's amazing and much you have more control over how things look. If you have a Streamdeck, you can do some pretty magical things. Worth that said, I'm considering going back to Streamyard even though it's $5 more a month (I used Ecamm for making recording for the School of Podcasting, but I now do those in Tella).What is The Most Reliable?For me, after talking with the School of Podcasting members and now hearing from the audience I would say Ecamm (mac only) and Streamyard (browser based).That doesn't mean Riverside, Evmux, Squadcast are not reliable, but I feel Ecamm and Streamyard are more reliable. They also are primarily focused on one thing RECORDING (although streamyard just added clip generation).So What If I Don't Want an All In One?Then you record with something like Ecamm or Streamyard, if you need clips, there is Opus Clip. There is free video software like Davinci Resolve, and free audio editing like Audacity.Thanks to The ContributorsFrank Bravo From Your Tech MakeoverTodd the Gator from Gaurdian DowncastChris From Cool Cars with ChrisEd from the Days Dumpster FireTim from My Solo MS JourneyMentioned In This EpisodeStreamyardEcammRiversideDescriptEvMuxCleanfeedZencastrOBS ProjectVDO NinjaPodtrack P4NextZoom H6Samson Q2U MicrophoneOpus ClipBoomer BunkerWar Room Online JournalTakeaways:Remote recording can be a total pain if you don't have solid internet; trust me, I know.Zoom works great for audio-only shows but struggles with video quality when the internet hiccups.Streamyard's simplicity makes remote recording a breeze; just send a link and boom, done!Clean Feed is solid for high-quality audio, especially for those who want to keep it simple.For video, Riverside sounds fancy but can be hit or miss; make sure it meets your needs first.Discord is free and surprisingly powerful for remote recordings, even if you're not a gamer.Mentioned in this episode:Live AppearancesI will be at the Empower Podcasting Conference (Year 3!) in Charlotte North Carolina. This is my favorite type of conference with a cap at 250 people, it's a great crowd without being overwhelming. Great speakers, great networking, and a great location.Where Will I Be?Question of the MonthThis might be harder question to answer because when I ask people, the sometimes freeze. The question? How do you measure success for your podcast beyond download numbers? I need your answer by June 26th, 2026. Don't forget to tell us a little bit about your show and your website address so I can link to it in the show notes.Question of the MonthPodcasting in Six Weeks Starts SoonIf you've tried to start a podcast before and got lost in the jargon, and felt overwhelmed, this is the course for you. We will meet LIVE for six weeks and go step by step in launching your successful podcast. The best part, we are only charging $1 Check it out at www.schoolofpodcasting.com/sixweeksPodcasting in Six WeeksPodpage is Now Included with Blubrry HostingBlubrry Podcasting — one of the longest-running podcast hosting platforms in the industry — has chosen Podpage to replace their built-in website tool entirely. That means every Blubrry hosting customer gets a professional, automatically updated podcast website powered by Podpage, included with their hosting plan. For Podpage, this is more than a partnership announcement. It's validation that podcast websites deserve dedicated website tools built specifically for podcasters.Podpage

https://t.me/s/overtakelab

Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets!On the product side, everyone is getting Computer - Perplexity, Manus, Cursor, and so on. Meanwhile on the research side, agentic evals like TerminalBench and GDPVal are also assuming computer (Harbor). On both ends, the consolidating LLM OS stack has become a standard toolkit, and Daytona is one of a small set of AI Infra companies that are booming because of it.“The end of localhost” has been Ivan Burazin's obsession for more than a decade.Something that is all too familiar…Long before agents became the default way people talked about software development, Ivan was already chasing the idea that development should not depend on a fragile local machine. CodeAnywhere, one of the first browser-based IDEs, was an early attempt at that future: move the development environment into the cloud, make setup reproducible, and free developers from the endless “works on my machine” tax.The thesis was directionally right, but the market wasn't ready yet.However, agents changed that. They do not care about a laptop, desk setup, or favorite editor. They need a computer they can access through an API: something stateful enough to keep working, fast enough to spin up instantly, flexible enough to resize, isolated enough to be safe, and composable enough to run the messy real-world workflows that real software engineering actually requires.Daytona isn't just selling “sandboxes” in the narrow code-execution sense. It is the latest version of Ivan's original localhost thesis.In this episode, Daytona's CEO joins swyx to explain why AI agents need more than code execution boxes: they need composable computers, stateful sandboxes, instant startup, dynamic resources, and infrastructure that can survive workloads going from zero to 100,000 CPUs.We go deep on the new agent compute market: Daytona's hard pivot from human dev environments to AI sandboxes, the New Year's Eve MVP that customers begged for, why Daytona runs on bare metal with its own scheduler, how one customer runs almost 850,000 sandboxes a day, and why RL/eval workloads went from 0% to roughly 50% of usage in just months. Ivan also explains why agents need Windows and macOS machines, why CLI may matter more than MCP, why Kubernetes is painful for this workload, and why the future AI cloud may look more like Stripe than AWS.We discuss:* How Daytona grew out of CodeAnywhere, Shift, and the “end of localhost” thesis* Why Daytona pivoted from human dev environments to AI sandboxes* Why agents need composable computers instead of disposable code execution boxes* The New Year's Eve MVP that customers chased API keys for* Why Daytona chose bare metal, stateful snapshots, and its own scheduler* How Daytona spins up one sandbox in ~60ms and 50,000 sandboxes in ~75 seconds* Why Daytona's biggest customer runs ~850,000 sandboxes a day* How RL/eval workloads create zero-to-100,000 CPU spikes* Why RL workloads went from 0% to roughly 50% of Daytona usage* Why customers compare Daytona against EKS/GKS and say they're “never going back”* Why every AI agent may need a computer, including Windows and macOS environments* The Apple licensing constraints that make macOS sandboxes hard* Why CLI gives agents more power than MCP* How open source helps agents integrate Daytona* Why agent-generated PRs may break today's CI/CD assumptions* Why AI SaaS companies reselling tokens may face a cold shower* Why the AI cloud may look more like Stripe than AWSIvan Burazin* LinkedIn: https://www.linkedin.com/in/ivanburazin* X: https://x.com/ivanburazinDaytona* Website: https://www.daytona.io* X: https://x.com/daytonaioTimestamps* 00:00:00 Hook* 00:01:12 Introduction* 00:03:15 CodeAnywhere, Shift, and the end of localhost* 00:05:58 What Daytona is: composable computers for AI agents* 00:08:07 The pivot from dev environments to AI sandboxes* 00:10:17 The New Year's Eve MVP and customers begging for API keys* 00:12:56 Bare metal, stateful sandboxes, and Daytona's scheduler* 00:17:28 60ms startup, 50,000 sandboxes, and 850K daily runs* 00:21:53 Spiky RL/eval workloads and the new agent infra problem* 00:28:12 RL workloads, Kubernetes pain, and dynamic resizing* 00:33:31 Why every AI agent needs a computer* 00:38:48 macOS sandboxes and Apple's licensing problem* 00:44:28 Why CLI may matter more than MCP* 00:48:11 Open source, GitHub stars, and agent integration* 00:53:11 Git, CI/CD, and agent collaboration bottlenecks* 00:58:15 Founder life and building a 25-person infra company* 01:02:44 AI SaaS, token resale, and API-first business models* 01:06:10 GPU sandboxes, data centers, and compute growth* 01:09:48 Why the AI cloud may look more like Stripe than AWS* 01:11:26 Closing thoughtsTranscriptIntroduction: Daytona, CodeAnywhere, and the End of LocalhostSwyx [00:00:02]: Okay, we're in the studio with Ivan Burazin, CEO of Daytona. Welcome.Ivan [00:00:07]: Thanks for having me, man.Swyx [00:00:08]: Ivan, you and I go back.Ivan [00:00:10]: Way back.Swyx [00:00:11]: How I don't even know how, you found, did you reach out or, for Shift.Ivan [00:00:17]: I reached out to you. The reason was you - we were just - we were thinking about I was one of the co-founders of CodeAnywhere, the first browser-based IDE, and so we were thinking a long time of, localhost should die. And you had this article.Swyx [00:00:29]: End of localhost.Ivan [00:00:30]: Then I reached out to you because of that, and then we talked, and I was actually at a different job and learning about I was the head of, developer experience, and you were quite well-versed in that, and I actually reached out to you, among other people, how do we go about that? What are the key things and whatnot at this point in time? And you were nice enough to take the call, and I remember I was late on your call with you.Swyx [00:00:51]: I don't remember.Ivan [00:00:52]: I remember because I was with my then I'm thinking of a girlfriend or wife at that point in time, I'm not sure. It's the same person, so that's great, and I was late ‘cause we were, in, Italy on, vacation, and then I was late for something. I felt so bad, and you were so nice to be, good about.Swyx [00:01:10]: The reason I'm nice is because I'm also late to other people, so it's like, who's, who's without sin here, yeah, so I have to, for those who don't know, InfoBip Shift, there's this whole thing that, you did in the past, and, and that was basically one of the inspirations for me starting AI Engineer, which is like, I have to thank you for giving me that push to be like, “Oh, you can, you can build and sell conferences?”Ivan [00:01:34]: I remember you asked you asked me at the beginning to give me advisory shares, and I was so focused on what we were doing, I said no, and I should've took the advisory shares. So I'm sorry, dude. But anyway.Swyx [00:01:43]: We're not, we're not venture backed.Ivan [00:01:44]: No, it doesn't matter.Swyx [00:01:45]: It's Yeah, anyway, so I think what's impressive about you is that CodeAnywhere is the thing that you've been trying to build, and, you kind of put it on hold and then came back after InfoBip. Just give us the story, do you - the story and the origin story, going into Daytona.From CodeAnywhere and Shift to DaytonaIvan [00:02:05]: Sure. Like, really way back, me and my co-founder have been together. I say this, I've said this multiple times, it's like we were married and divorced and married. Some people actually ask me is my co-founder my partner. they thought it literally. It's not literally, but we have done multiple companies together, and to your point, we had this shift where we went from the CodeAnywhere to the conference called Shift, and then back to, Daytona. We originally started stacking servers, doing like virtualization in the early 2000s and, routers and doing basically all these things, at a foundational level, and that was a services company which we sold to focus on what my co-founder actually invented, which was the very first browser-based IDE, right, I say the first. Before us was actually Heroku. They did it for a very short time until they became Heroku. But outside of them, we were the only one, and it was called.Swyx [00:02:55]: There was Cloud9.Ivan [00:02:57]: Cloud9 came out slightly after us. There was Replit, which came out when we stopped doing it, Replit came out, and they have been successful since then, which is great. There was Nitrous.io. There was quite a few that existed at the time, but it was like too early. But the interesting part is that we, at that point in time, because there was no VS Code, there was no Kubernetes, and Docker had just started when we Or I'm not sure if it was even public at that point in time. And so we had to build everything to the whole stack ourselves and that was the key learning that we brought into and that we've been using in Daytona today. So it was super early. There's about 3 million people used CodeAnywhere. It was slightly, it was angel-backed more than venture-backed. We ended up paying everyone back because it didn't have that sort of scale. But, three years ago, we started something similar with Daytona, which is not what we are today, but it was automating dev environments for human engineers, the basically the underlying stack of CodeAnywhere. And then we did a hard pivot last January to sandboxes. And so here we are.Swyx [00:04:01]: Historic pivot, yeah, and, it's one of those things where, I had independently invested in CodeAnywhere, but also in E2B, and then both of you pivoted into the same thing, and I'm like, “F**k.”Ivan [00:04:12]: You invested, you invested in Daytona. You invested in Daytona. But you were the first If we had not got your check, we wouldn't have done it.Swyx [00:04:18]: No way.Ivan [00:04:19]: No, it was like, “We have to get him on board first,” and you were that kicker that we, that got us off the ground.Swyx [00:04:23]: No, because you were putting me on your pitch deck, man. I was like, “Man, this is like a good trip if I don't invest.”Ivan [00:04:29]: That's because it was your quote. It's like we.Swyx [00:04:30]: Yeah. It's the end of localhost.Ivan [00:04:31]: Did a bunch of research about end of localhost and who was interested in that,.Swyx [00:04:34]: No, that's like, I put, I wrote that blog post, and every single company in that field reached out to me, and then every VC who was receiving those pitches then also had to call me and, talk it, talk through it with me.Ivan [00:04:47]: It's finally happening though.Swyx [00:04:48]: It was really super interesting.Ivan [00:04:48]: It's finally happening.Swyx [00:04:49]: It's finally happening.Ivan [00:04:49]: Yeah, it's finally.Swyx [00:04:49]: It's finally happening, with maybe sort of non-human users. Yeah, so what is Daytona today? Let's get like a quick description. I'm wearing the shirt.What Daytona Is Today: Composable Computers for AI AgentsIvan [00:04:58]: You're wearing the shirt. Yes,.Swyx [00:04:59]: It says, I think your branding is very good. Like, it's very consistent. It runs AI code. Like, it cannot be simpler.Ivan [00:05:05]: Exactly, but we're gonna probably have to change that.Swyx [00:05:07]: Oh, s**t.Ivan [00:05:07]: It's also a subset of what we do. Unfortunately, we really love this, Run AI Code is super simple. People interpret it different ways. I think we've given out 5,000, 6,000 of these shirts. People wear them with pride because it doesn't really market about us.Swyx [00:05:21]: Yeah, Daytona's on the back.Ivan [00:05:22]: It markets the back. It markets to the person itself, so I think we did a really good job on that one. But it is also a subset of what we do, because people, when they think about Run AI Code, they just think about these small, let's call it isolates, code execution boxes that, you send some code, you get an output. Whereas what Daytona is today is essentially composable computers for AI agents. It is, the market calls them sandboxes which can be misleading.Swyx [00:05:44]: All these things. All these things on.Ivan [00:05:45]: Yeah, exactly, ‘cause it can be misleading ‘cause people usually think about sandboxes as a demo or a test environment versus a production-grade environment. But what Daytona does, if you think of the laptop that you have in front of you or the computer that's over there, or, my wife is an architect, so she has like a Windows with a 3D graphics card inside to do 3D rendering. Like, as humans, we have different computers or different compositions of computers. And our belief is strongly that agents today and going forward will need all these different compositions of computers to do different types of tasks. And so we offer that basically through an API.Swyx [00:06:19]: Yeah, to give people - I'm trying to sort of front-load all the aha moments or the wow moments so that people can, stay engaged and click like and subscribe. the market is exploding, right? Like, you have been reporting 74% month-on-month growth, and it also, it's just been growing for a while. Like, it's been going like this. And every single - It's not just you guys. It's every single.Ivan [00:06:41]: Everyone, yeah.Swyx [00:06:42]: Sort of, compute provider. I don't know if you agree with me saying compute provider or not.Ivan [00:06:48]: It's fine.Swyx [00:06:48]: Yeah. So like organically PLG-driven growth, but also enterprise is doing super well, I think I wanna rewind to January of last year when you did the pivot. Like, so you obviously called this market early, and you were positioned for it, and you are now one of the market leaders. But what was the insight that made you do the pivot?The Pivot: From Human Dev Environments to Agent SandboxesIvan [00:07:06]: The insight that made us do this pivot is the quarter before that, so end of 2024, when we had - Basically, we did a demo with - I don't I think we discussed this as well, Devin was not public. You actually gave me access to Devin at that time. So Devin.Swyx [00:07:25]: I did?Ivan [00:07:26]: Yeah, you gave me access.Swyx [00:07:26]: I don't think I was supposed.Ivan [00:07:27]: Yeah, exactly.Swyx [00:07:28]: Yeah, I.Ivan [00:07:28]: So it doesn't matter. You.Swyx [00:07:29]: Yeah. I gave like three friends access.Ivan [00:07:31]: Yeah, or it was a call and you showed it to me. It doesn't matter. but OpenDevin was available, which is now called OpenHands. And so we're like, “Oh, this seems to be a thing. This is not public. Let's take our for human automation of dev environments and take, OpenDevin and launch that as a SaaS.” And we did that. Not very many people signed up and used it, but a lot of people reached out that were building agents, and they were like, “Hey, my agent needs a compute sandbox runtime,” whatever you wanna call it. I forgot what it was called at that point. And then we were like, “Oh, amazing. This is a new market. Here is our infrastructure. Here's our product, and go.” And what we found really fast, soon, was that people did not like what we had built. It didn't work. And I remember talking to people at the beginning when we're doing this, the sandbox we're building for agents. People were like, “Oh, why is it different? It's the same thing. We have like EC2, we have VMs, we have all these things.” But we saw that everyone we gave it to, it was like 20, 30 people, they all said, “No.” Like, “This is not what we need. This sort of breaks.” And basically, me and my co-founder not knowing a lot about - ‘cause we're infra people. We're not AI people. So I basically took it upon myself to like watch every single podcast that exists, including all of, all of these and all that, and sort of get up to date, read all the blogs, like get, understand what's going on.Swyx [00:08:45]: Do you wanna shout out who else was useful, just in case people are also looking.Ivan [00:08:49]: Generally we -, I looked at There's a few of podcast, different segments and different types. So there's you guys, No Priors, Bill Gurley's was great while.Swyx [00:09:04]: VG2, yeah.Ivan [00:09:05]: Yeah, while it was around. So there's a few. 20VC is interesting from a different dynamic, and some are different dynamic. But there was, also Red Points.Swyx [00:09:14]: We're not really about the compute market.Ivan [00:09:15]: It was also already - Sorry?Swyx [00:09:16]: You're, you want - You're looking at the agent infra market.Ivan [00:09:19]: I was looking at the agent market and the AI market in general and sort of understanding who are the players, what the perception, and how that goes. And like obviously you complement this with like going to conferences, going to events, going to meetups, reading white papers, like doing all the things that you have to do to understand what's happening. And so when we figured, when we sort of had an idea of what we had to build, literally over the New Year's Eve, literally on New Year's Eve, I half vibe coded the first MVP, first minimal viable product of what Daytona is today. And I went to sleep at like 3:00 AM or something like that. I was doing - I just put my like baby daughter and wife to sleep and, Happy New Year's, and go back to just, doing this. And I sent it to my co-founder, my CTO, and he saw it in the morning. He's like, “This is absolute garbage.” “Do not show this to anybody at all, but the idea is good.” And so he took two weeks, and he rebuilt it.Swyx [00:10:09]: Did it like look like that? Listen, I - It was rough idea.Ivan [00:10:12]: Oh, not even, not even close. Like it was it was way worse. But it was like a very - It was a simplistic view of what it should be. Like, it worked, but it was not ideal. And so he went, we went down the whole, which is his job as CTO, to go, and he came back with this version. We then called all the people that had said like, “This is garbage,” a quarter ago. And we set up these calls, and we gave it to - We just demoed it to everyone. And all the calls went long, every single one. They were 15-minute calls, and they all went to like 25, 30 minutes or whatnot. And everyone said, “We need, we want access.” There was no login, just an API key, ‘cause it was just a beta or an alpha. And they said, “Oh, we want access.” And we're like, “Sure, yeah. Okay, thank you very much.” But after like the next day, if we'd not send it, every single one, like every call that we did, everyone came back, “Where is my API key?” Like everyone wanted it. We're like, “S**t.” Like this is it. Like I've never felt So one, the understanding to your point was like most people thought it was the same infrastructure for humans and agents. We understood a quarter ago it's not. We just didn't know what was the right primitive. And then when we came, and we can talk about what that is, and we gave it to these people, I've never seen, I've never experienced - I've done multiple companies in my life. I've never experienced this, that people literally call you if you do not give them access. Like they want access right now. And so it's like, okay, they don't want this. the thing that they want doesn't seem to exist, or they have not found it, and they really want what we want. And then when we understood that we're onto something, and then when you think about the size of the market, like the market for human engineers and enterprise is a very large market, so think GitLab or whatnot. But the market for every single agent that will exist ever in the future is just like, what is that market? How big is that? And we're like, “We are all in on this.” And so that is where we made sort of the cut between the old product and the new one.Bare Metal, Stateful Sandboxes, and the Lambda + EC2 ModelSwyx [00:12:02]: Yeah. But it wasn't composable at the time?Ivan [00:12:05]: It was very - It was basically just a Linux box that you could change, that you could define number of CPUs, disk, and RAM. Like that is what you could do, but you couldn't have multiple operating systems, you couldn't resize it on the fly, you couldn't add a GPU, you couldn't do like all the things. It was just the, just the first sort of variation of that, yeah.Swyx [00:12:22]: Was it bare metal from the start?Ivan [00:12:24]: It was bare metal from the start. And so the interesting thing that we thought about right away, so our.Swyx [00:12:29]: Which, give people the background, what is the normal path?Ivan [00:12:32]: Yeah, so, basically most providers run this on top of VMs. And also.Swyx [00:12:37]: Firecracker.Ivan [00:12:38]: Yeah, they run on Firecracker and VM. And so we also fire - We can get - We have multiple isolation layers and we can do that. But the common way to do it is that they, one, that the state of the machine, or the hard disk is not part of the sandbox itself. And the other thing is they're not meant to last forever. So most of them are preemptible, like they can There's a time that they can live. And so our thought was when we were going into this is, agents will be like humans in the sense of you don't want your laptop to be shut down until you're done with work. Like, and you want to close the lid and open the lid, it's the same state. So you - Agents would want that, like the pause and come back. They want those two things. But also agents really want speed, right? Can they get it? So when we thought about it's like we need something insanely fast, how to make it fast, how to make it long-running, and stateful. And so those two things, it's like combining a Lambda and an EC2, right? Those two things together. And so we didn't have an idea how others did it, ‘cause we didn't know too that there was a market around this. It was more like, okay, this is what we need, what they need. And we looked at Kubernetes, it wasn't wasn't good enough for that. We looked at Nomad, it didn't enable that. And so our history in rewriting our own scheduler at CodeAnywhere is basically what my CTO came up with. Like, he's like, “Oh, the learnings from there,” and he brought it. And the funny thing is, our third co-founder, when he saw it, he's like, “Dude, what is this? This is like 2008.” Like, we went back in time, and he's like, “Exactly.” And so the reason why Daytona is like super fast, and you see this on benchmarks, is we essentially, we run on bare metal. We have our own scheduler, we use the underlying, disk, CPU, and RAM of the underlying machine, which means your IOPS are insanely fast because there's no, there's no network between an EBS or something like that. But also the snapshot, the point in time, the templates, are also preloaded on the bare metal machines. So when you fire off a sandbox from a template or a snapshot, you're essentially directed to the bare metal machine where that snapshot is based on that NVMe drive, and then it literally just turns on that machine, and it's local. There's no network latency, anything on there. And so that is sort of the specificities that we, when we're thinking from first principles, what a computer would look like for an agent, that is what we came up with, and that's what we created.Benchmarks, 60ms Startup, and 50,000 SandboxesSwyx [00:15:02]: Yeah. I should maybe, I don't know if you endorse this, but there's someone that does compute SDK, you guys do very well on there, with like the TTI, right? I. is this a, is this a is this a relevant benchmark for you guys? I don't know.Ivan [00:15:16]: I don't know, and it changes every day. So today RKL is.Swyx [00:15:18]: I don't know what RKL is. Never heard of it.Ivan [00:15:20]: Yeah. RK, yeah, so it is there.Swyx [00:15:22]: You are, at least a third of the next tier of performance, and then, there's a lot of other better-known names that are very slow to start.Ivan [00:15:31]: Yeah. We've been the number one by far for a long time, and now there's different, there's different definitions also of sandboxes, different isolation patterns, different other things. So RKL runs it literally on the S3, the data, so it's very different, and they spin up a sandbox, spin up a container for that, so it's a different type of thing. So the definition of a sandbox is something that we can all, we all need to get along with. But yeah, we're insanely fast on getting these things, up and running. And so you can see even there that it's a zero point 0.10 to 0.11, so.Swyx [00:16:03]: Close enough. Yeah. what else do you need, right?Ivan [00:16:05]: Yeah. So the benchmarks itself, so, in this, in I don't think the benchmarks equate to market ownership or revenue or anything like that. and I've seen this with multiple benchmarks, not just in sandboxes, but in general benchmarks around.Swyx [00:16:20]: It's table stakes. It's just like.Ivan [00:16:21]: Exactly. But it doesn't hurt.Swyx [00:16:22]: Just roughly check.Ivan [00:16:22]: Like you definitely have to be up there and you have to be competing so that people know that, oh, this is definitely one of the top. Because this is only one dimension of what customers look for. There's other things like how many can you spin up consecutively? There's a feature set, there's support, there's like all different things that people look at, but you definitely have to be there, on the benchmarks.Swyx [00:16:40]: How many people do people spin up consecutively?Ivan [00:16:43]: So we have.Swyx [00:16:43]: Or concurrently, is the Concurrency, right?Ivan [00:16:45]: There's three metrics that we look at. And so one is like time to spin up one, and so our time to spin up one is 60 milliseconds with network latency. So request, spin up, reply, 60, the whole thing, 60 milliseconds. That is one. But if you wanna spin up 50,000 at once, we are now at about 75 seconds. So it takes about 75 seconds to spin up concurrently 50,000. Some others, there's public data around this, like take 2,000 seconds, which is 30 minutes. Like there's different variations of that. And then there is the so it is speed of one, speed of like multiple, and then how many can you consistently have up and running. And so we basically have right now no limit to how much we can add because we basically own our own metal. But the biggest customer of ours does like about 850,000 every single day is sort of where they're, where they're just shy of a million every single day that they're running, we do have a request for half a million concurrent, which is literally half a million CPUs somewhere running. So that's an interesting.Swyx [00:17:44]: They pay by like vCPU seconds.Ivan [00:17:47]: By seconds, yeah.Swyx [00:17:47]: Or whatever. Yeah. Okay, and so and then, and the other thing is, the sleeping and the resuming, ‘cause it's all the stateful resumption of all these things, how, what kind of workload are people putting through this, right? Like how is it Do we measure by gigabytes in memory, gigabytes in storage? I don't In like network attached storage. I, what are the costly ones of, out of all these features?Workload Economics: CPU, RAM, Network, and StorageIvan [00:18:15]: The most expensive thing are CPU.Swyx [00:18:18]: Okay. Yeah, of course.Ivan [00:18:18]: The second one, yeah Then it's RAM, then it's disk. We actually don't charge.Swyx [00:18:22]: Which is snapshotting, right?Ivan [00:18:23]: No, it's actually the, snapshotting's part of it, but basically the size of your hard disk, of your machine. So do you have 10 gigabytes, do you have 20, do you have 50, do you have whatever? And then the transference of that. Right now, currently we don't charge for, network at all at Polychron.Swyx [00:18:37]: Oh, you gotta, yeah, you gotta fix.Ivan [00:18:38]: Yeah. It is very much a it's a larger and larger part of our bill, so we're working around, that part there. Obviously, that is the least, expensive, so the hard disk is the least expensive, so it's basically CPU, RAM, for us network, ‘cause we don't charge the customer, and then hard disk, is how it's split up. But there's also different types of workloads, so we basically split it up into two types of workloads in Daytona. One is what we call background agents or long-running agents. and the other is, basically RLs and evals, which I put sort of together. And so they have very different patterns of usage, and if you look at the usage of a background And I'll just name names of companies, not specifically.Background Agents vs. RL/Evals: Two Usage ShapesSwyx [00:19:21]: Yeah, open, all hands.Ivan [00:19:23]: Yeah. So like a background agent's a Cognition, a Lovable, a like all these things are Harvey. These are all long-running, background agents. And so if you look at their usage patterns, their usage patterns are similar to human, which is like follow the sun. Basically, the usage patterns of that is like noon is probably the highest, and the midnight is the lowest, and then weekends are lower. weekday is higher.Swyx [00:19:42]: Yeah, that's a fun question. How global is it? Is it very US-centric or?Ivan [00:19:46]: The US is a large part, but we have currently, we have Asia, Europe, and the US regions.Swyx [00:19:52]: So it's quite global.Ivan [00:19:53]: Yeah, it's quite global. We have it all over. It's interesting that our I talked to you a bit about this. Our number one city by user.Swyx [00:20:01]: Hmm.Ivan [00:20:02]: Is Singapore.Swyx [00:20:04]: Oh, wow. Amazing.Ivan [00:20:05]: Which is an interesting one, right? Not by revenue, just by just like by individual head count.Swyx [00:20:09]: Really?Ivan [00:20:09]: Just like an interesting thing.Swyx [00:20:10]: Singapore is, Singapore is weirdly high in the adoption charts of AI for the population. It's like an, seven, eight million population. And it's like keeps showing up.Ivan [00:20:20]: No, it's quite interesting. We were quite shocked, and I was like, “Oh, this is interesting.” And also one that's up there.Swyx [00:20:24]: There's a reason I'm doing AI using Singapore. it's because I'm from there.Ivan [00:20:27]: We're there. We're gonna, we're gonna be there as well. and it's interesting that Japan is in the top or like Tokyo's in the top, which is in all the tech cycles it has never been. It has never been, so it's quite interesting that they're.Swyx [00:20:39]: I think the Japanese just love AI. Yeah. It's that, and then it's Brazil. That's it.Ivan [00:20:44]: Brazil has always been in.Swyx [00:20:45]: I think.Ivan [00:20:46]: Even when I look, if you look at like GitHub's data and ask historically with CodeAnywhere, it was always like US, Western Europe, and then you'd have like India, Brazil, China, like that would be there. But like Singapore was not in, specifically Japan was never in sort of that top, that top.Swyx [00:21:01]: Yeah. Weird pockets.Ivan [00:21:01]: Weird. Yeah, so it's very global.Swyx [00:21:02]: Okay, so actually that, but that's helps you to distribute your load through, all time?Ivan [00:21:08]: The interesting thing is like we have those kind of loads, but if you look at the researcher loads, they're quite different. So what they are is like if you give them concurrency of 10,000 or 50,000 or 100,000 CPUs at ARMb, when they fire off a run, it's just 100%. And then it just runs, and then it stops. So it's very, the usage pattern is squares basically, right? And it's also not follow the sun, because people will fire it off at midnight before they go to sleep but then wake up and so it's very unpredictable, so you don't know where that is. So the shapes of the usage are quite different than we have had before. And also what's interesting is when it's sort of a follow the sun, even if you have a high growth company, you can sort of predict your usage patterns and have enough capacity for that, because it's sort of, it grows in a, in a way you can project. When you have companies doing sort of like evals and RL, they're super spiky. So they're gonna come in, it's like, “We're gonna use nothing, then can we have 100,000?” Right? And then go back down. And then 100,000, go back down. So it's very different, right? And.Swyx [00:22:09]: Do you want to lock them into commits so.Ivan [00:22:11]: Yeah, we do.Swyx [00:22:12]: Yeah, okay.Ivan [00:22:12]: We so we have to lock them into some sort of commits to have that capacity, because we have to have, basically we have to have the capacity for peak. Right? And so right now, Daytona's mean utilization is 15%, 1-5.Swyx [00:22:25]: Oh my God.Ivan [00:22:26]: So it's very low.Swyx [00:22:27]: Because it's very spiky.Ivan [00:22:27]: It's very spiky, but we get up to 90%. so we have these things. And so what we're, what we're looking at right now as a company is similar to Cloudflare where you can like geo move things around, but that works really well for basically the background agent where it's follow the sun. But this, it's not. Like it's a very different shape. Obviously with scale you figure these things out, but that's an interesting new problem that we have, as a compute provider in the agent space. And when we were doing the conference recently, and so we talked to like Nikita from Neon and.Swyx [00:22:57]: I should bring it up.Ivan [00:22:58]: Parag from Parallel and whatnot, everyone has the same problem. Whereas the usage is super spiky, and this is something that has not happened before, that you have these types of like it was always, it the amplitudes were not this high, right? So it's quite interesting use case and problem solve.Compute Conference and Spiky Agent InfrastructureSwyx [00:23:12]: Yeah, I don't know if we're gonna bring this up again, but let's just talk about the conference, you had like 1,000 something people at the Warriors game, at the Sorry, where is it? What's.Ivan [00:23:22]: Chase Center.Swyx [00:23:23]: Chase Center.Ivan [00:23:23]: Chase Center.Swyx [00:23:24]: I went. It was, it was very impressive. Obviously, you can, how to throw a conference, what did you learn? you put, you pulled together all these impressive names.Ivan [00:23:33]: What I.Swyx [00:23:34]: What were you looking for?Ivan [00:23:35]: My thesis behind the Compute Conference was let's bring together people that are building infrastructure for AI agents. Because when I think of what we're building, it is the agent is the primary user, what are the ergonomics and usage patterns of agents, and so we can do that. And what I found, this was a theory, it wasn't proven, is that we all have these problems, as I touched onto. And I was, as I was talking on stage, it was like we all have the same underlying infra problems, which is this spiky workloads, unpredictable workloads that we've never had before, in human, compute or human infrastructure. And it's, again, it's the same when I was talking to Parag or when I was talking.Swyx [00:24:20]: Lynn. Nikita.Ivan [00:24:21]: Lynn, Nikita. Lynn especially, I was talking to her the other day as well. Like the It is a very interesting type of problem to solve because I can touch on Cloudflare because there's a lot of like talk about that recently as to how they solve that, which is they have a bunch of geos, and basically, as users work in different places, and depending on your tier, they can move you around the geos. And so that how, that's how they get the higher utilization. But you can sort of predict these, and it's If it's something in You'll rarely get a spike that is 10 orders of magnitude. Like you'll get a like let's say one of your customers has some like an exponential curve. What is that to I'm using Cloudflare as an example. 10%, 20%, whatever it is. I don't, I don't have this data, I'm just assessing. It's surely not 10x, right? It's surely not something there. And so how do you go out and solve this problem? And we're all solving this in different ways. So we have.Swyx [00:25:11]: She also has the same thing.Ivan [00:25:12]: Yeah, I know specifically that like Neon had that issue as well. Like how are we solving these spiky loads and things like that ‘cause we talked about it. And so the interesting thing for me to actually internalize was, yes, everyone that's building for agents first is going through this, and we're all solving similar problems, which is quite.Swyx [00:25:28]: Let me let me double-click on this. Okay. So for example, Neon, I happen to know that they're very sort of S3 oriented, right? so they're just like fully bet on S3. And you get to benefit from S3's distribution and infrastructure. So I would imagine that Neon doesn't have to care, whereas Lynn maybe has to care a bit more because obviously she's doing GPU inference. And, for listeners, we did an episode with her, one and a half years ago. And you have to care. But like, right?Ivan [00:25:54]: Parag cares for sure, and Nikita.Swyx [00:25:58]: And Parag is C of, Parallel.Ivan [00:25:59]: Parallel, yeah.Swyx [00:26:00]: Former CTO of Twitter.Ivan [00:26:01]: Twitter, yeah.Swyx [00:26:02]: They are the search.Ivan [00:26:03]: Yeah, they're search, yeah.Swyx [00:26:03]: I You and I know but the listeners don't know.Ivan [00:26:08]: Yeah, we can put it down in the screen, and so ‘cause we, when we were talking.Swyx [00:26:11]: I'll put it up on the, on the screen.Ivan [00:26:12]: Yeah, right.Swyx [00:26:12]: People can look it up if they need.Ivan [00:26:14]: Look it up. And, yes, but they still have CPU and RAM, allocation that you have to have up and running. And so CPU and RAM, you have to allocate that and have that ready. And so there's basically two ways to do it. One is you either over-provision and you can handle the bursts, or two, you basically have, I don't know if this is a term, just-in-time compute, which is like as your load becomes, as your usage comes in, you can fire off requests for VMs or bare metals at other cloud providers and then get them up and running.Swyx [00:26:43]: This is if you go above 100%, right?Ivan [00:26:45]: Yeah, this is.Swyx [00:26:46]: Like your overflow.Ivan [00:26:46]: If your overflow, like spillage or whatever you do.Swyx [00:26:48]: You probably lose money on it, but it doesn't matter, right?Ivan [00:26:50]: It, not Well, you might, you might not That is a more cost-effective way to do it but it's a slower way to do it. Because basically what you have to do is you have to like queue your requests, spin up these just-in-time compute, get it all ready, provision it, and then get your workload there. And so if the time isn't important that much, that's fine, and you can do that. But if your customer, and especially for, let's say, the RL training runs, the reason why a lot of people come to us is because GPUs are more expensive than CPUs, right? So you want your GPU running at, what, 100% the entire time. And so when you're running runs on CPUs, when the when the CPU cycle is like down and spinning up the next one, you want that to be instantaneous so that your GPU doesn't go down, right? And if you then have to like go out and provision machines, you're essentially telling the GPU that it has to wait, and that's incurring our cost. So there's things that you have to try to solve for there.RL Workloads, Declarative Images, and Kubernetes ReplacementSwyx [00:27:43]: Yeah, let's talk about the different workload, right? You said that, what was it? A few months ago, you had zero RL workload and now it's 50%.Ivan [00:27:52]: It will be this one, 50%, yeah.Swyx [00:27:54]: Let's talk about how different it is, right? Like I imagine, for example, a lot less dynamic code generation of like arbitrary code. Like here, it's probably all the same code. You're just doing parallel runs or something, I don't know.Ivan [00:28:05]: Yeah. So you'll have multiple Depends on the like for each run, you'll have a snapshot. And they, for the most part, they actually do use our declarative image builder, which is like, “Oh, we, the agent wants these dependencies, these env vars.”Swyx [00:28:17]: These ones, yeah.Ivan [00:28:18]: Yeah, the declarative image builder, it.Swyx [00:28:20]: Which is a very modal like thing that they.Ivan [00:28:22]: Yeah. And so we build it on the fly and then we propagate that snapshot, and you can spin up as many sandboxes as you want against that snapshot. And then if you have to do changes, the model can, or like it could be also be automated. It's like, “Oh, now for the next run, we need to install these things or remove these things or whatever to get, a task done,” and then it goes off and runs that. So yes, that is something that it seems that they prefer. The number one reason I found, or should I say, let's take a step back. What we are competing against in that environment is essentially managed Kubernetes. So EKS, GKE, whatever. That is what the vast majority run on. And anyone that has tried Daytona versus GKE, EKS is like, “I'm never going back.” That has always been. There's a few reasons. One is the ergonomics. So if you have, if you're using Kubernetes to spin that up, you have to essentially manage the interface interactions with that. Daytona, although as a compute provider, it's more akin to a Twilio and Stripe from a consumption perspective than it is an AWS. Like you have an API, an SDK, it's quite like easy and seamless to get these things up and running, that's one. The other is the speed to which we spin up, which we mentioned earlier, which is much faster, and the scale to which we can go to. We haven't got into features, but an interesting feature is that it's very hard to OOM, or out of memory, our sandboxes, because we can dynamically on the fly.Swyx [00:29:48]: Resize.Ivan [00:29:49]: Resize, which is like impossible on almost any other thing. There are some technologies that enable you to do that, but it's like a very hard thing. And so we actually saw this when, the Terminal Revenge team is, brought us actually. So thank you, Alex and the team, that brought us into this whole space.Swyx [00:30:05]: It's just very rare that, a framework would just say, “Guys, just use Daytona.”Ivan [00:30:11]: Yeah, I think it says it somewhere. Yeah.Swyx [00:30:13]: Yeah. I was like, “What is this?”Ivan [00:30:15]: There's all, there's multiple there, but they also mention a few other places. and so Daytona specifically-We have, the, just jumping on themes here We, I don't know where it says Data Center.Swyx [00:30:27]: I, there.Ivan [00:30:27]: Doesn't matter.Swyx [00:30:28]: There's a very strong recommendation, which is, very unusual. Which is, it's.Ivan [00:30:33]: We do not pay them for this, just.Swyx [00:30:34]: I know, yeah. They just like you.Ivan [00:30:35]: Yeah, they like us. yeah, and also a thing, so, Data Center has multiple isolation sets underneath. The customer doesn't have to know what they are. But basically we have Docker, which is a container, that's hardened with Sysbox. So it's Docker's, isolation that is a security equivalent to a VM, but it's still a container. And that is the default, and they, especially in these training workloads, really like that as an interface to be able to use just a basic Docker container, and we enable Docker and Docker. Which for these RL runs, if you need to do a Docker compose or Kubernetes, you can spin up a K3S inside of these things, which unlocks a huge amount of workloads that you can do that you cannot do on other providers. So just on that part is much more interesting. And so we went that, through that. We showed them that we could do that, and they enjoyed that quite a bit. They being the general venture people.Swyx [00:31:28]: Those people, yeah.Ivan [00:31:29]: And Harbor people.Swyx [00:31:29]: Harbor people, do are they, are they a company yet?Ivan [00:31:33]: As far, I do not know.Customer Pull, Slack Connect, and the Computer Use BetSwyx [00:31:35]: Okay. All right. Yeah. It's like super obvious that like, there's a lot of excitement and success around these things, okay, so yeah, tell us more, right? Like, this is an exploding workload, Harbor adopted you, which helped speed things along. But what are you learning as this new workload comes online?Ivan [00:31:53]: There's a couple things that we learned, which we chat about in the beginning. We, and this has led our story, as we mentioned, we like talked to a lot of customers along the way, and we add more features and more tool sets as we talk to customers. And it's interesting that And I think it's that the ecosystem is so small and/or the models get smarter, where when we see one user come with a request, we know it goes on a roadmap if like three to five customers come with the same request in that week. It's like very bizarre. It happens so many times, which is.Swyx [00:32:27]: Because they're all friends.Ivan [00:32:28]: Sorry?Swyx [00:32:28]: They all, they're all friends. They're all in the same group chat.Ivan [00:32:30]: Yeah, probably, yeah. ‘Cause and they're like, “Oh, can you do this?” And I'm like, “Okay, this is interesting. We'll put it on a feature request.” And then the next one's like, “Oh, can you do this?” “Okay.” It's all the same, right? It's always the same. And so what we try to do, and I personally try to do, I try to be on as many call, quote-unquote “sales calls” I can. I'm in every Slack channel. We literally have about 1,000 Slack Connect channels, something like that. It's an interesting, there's so many interesting things you find out when you have all the Slack channels. You can also see where people, transfer between companies. You see leave Slack channel, enter Slack channel. It's an interesting thing. Also, just I digress, I feel that Slack Connect is literally LinkedIn what it should be. You have a list.Swyx [00:33:08]: LinkedIn charges you to, use your own connections, but Slack doesn't, right? Slack is like, do it for free. It's more lock-in. It's great.Ivan [00:33:15]: Yeah. It's amazing. Yeah. It's one of the reasons.Swyx [00:33:17]: You're gonna pay Slack for life.Ivan [00:33:18]: Exactly. You're there for life. So that's interesting. And so one of the things, the newer things we were talking about earlier is we made a big bet and put a lot of investment on computer use. that is not seen publicly the light of day. We haven't GA'd that yet, but we have.Swyx [00:33:32]: Is there a thing I can pull up?Ivan [00:33:33]: There is computer use there. It's right up a bit.Swyx [00:33:36]: Oh, yeah. Okay.Ivan [00:33:38]: What we have, what we talked about and what we've seen publicly is there's this theme now about, the human emulator where And Elon from XAI has talked about this publicly, and if you think about the models today, they're actually quite sophisticated and they can do a lot of work, but they still don't have access to all the tools. Like, I'm a strong believer that the most efficient way for an agent to work is essentially headless or through, terminal or whatnot. But if we, if we look at knowledge work in general, there's about 100 million knowledge workers in the US, about a billion in the world, and knowledge workers, and the salaries of them aggregate to 10 trillion in the US 50 trillion worldwide.Swyx [00:34:24]: Wow.Ivan [00:34:25]: Something like that. And if we look at, the five most important sectors of that, so like healthcare and government and financial services and whatnot, that's about 56% of that. So let's say it's about half of that. So in the US it's about 25 trillion, and most of them, most of that work is actually still locked into legacy apps inside of Windows, which is not going anywhere for a very long time. Like, people just won't invest in that. How much of it? our assumption is the following: if, in the RPA market, which is similar market, well, not the same 25% of, these white collar, workers', work is automated. If an agent is more sophisticated, can go through more runs, figure stuff out, let's say it's, 40%, right? And so if you take 40% of that, you get to essentially, $10 trillion a year.Swyx [00:35:17]: That's a TAM.Ivan [00:35:18]: That is a that is a TAM. So that's the TAM of the models, right? That's not our, essentially ours. But you get to that size, and to be able to do that, you essentially have to give agents these computers with the legacy. So computer use, either Mac or Windows or Linux. Linux we also obviously have and others have. But Windows specifically is something very new, and the only option right now is an EC2 with, Windows or on Azure. Both of them take anywhere from three to five minutes to spin up. We've created an actual sandbox, so it's a second instead of milliseconds, but you have, point in time snapshots, you have, forking, you have all the things that you have from a sandbox, but essentially enables you to hopefully unlock all this value. And so that's been our big push and bet, but we've sort of, kept our ear to the ground. What is sort of the next things in the market?RPA Returns: Why Agents Still Need ComputersSwyx [00:36:06]: Yeah, knowledge work, and building, and sort of RPA, the next wave of RPA. I got very excited about RPA kind of during COVID times. The UI path was IPO-ing. And it was, a very hot Isn't it, Eastern European?Ivan [00:36:20]: It is, Romanian.Swyx [00:36:21]: Romanian?Yeah, it might be the only Romanian, big unicorn okay, yeah. This I don't I don't, I don't have like a I think there's, I think there's a stage being set for the resurgence of RPA, ‘cause everyone understands that, yeah, no one wants to deal with these shitty apps and no one's gonna rewrite them. Like, you just have to do, a remote operation and programmatic operation of them.Ivan [00:36:45]: If you wanna unlock it, my own setup was basically the following. So I was doing a board deck recently, last month, whatever, and I'm like, “Okay, let's just, let's just do automated.” So, all our data's in, ClickHouse and PostHog and QuickBooks, where everyone else's is, and I'm basically, connected that all to, my Cloud code, like go off and go Cloud code whatever. Go off and, here's the integrations, go do that. It pulled out the first report, which was great. It connected to Brex and all these things, pulled it, which was great, and then I say, “Okay, now pull out this, and this,” and I kept getting, really well McKinsey-style design reports, but the data said partial data. all the missing data, partial data. Like, it can't access all the things, and I got so frustrated, and so I got, I got, my Mac Mini virtual sandbox with OpenClaw. I gave it its own account in our company, and then I went to all these services and created a read-only account, so literally like an intern in your company. And so I would say, “Now go and do this report,” and it would get the same, or like, “I can't via the MCP or the API or whatever. I can't get all the information.” I'm like, “Go log in.” And it will log into the website, then go in, export the data. It'll export the data and do the thing end to end. So even for things that have today APIs, not all of it is exposed, and I to get value, I get immense value right now, but it has to be a computer usage, unfortunately, and so I spend a bunch of tokens just on that, but I get the job done. And so if even a startup like ours, and using all the hottest tools, still needs a computer agent what hope does, Goldman have to have a headless, right?Swyx [00:38:22]: Yeah, what a - Why isn't Microsoft doing this?Ivan [00:38:27]: I'm pretty sure, Satya had a post yesterday.Swyx [00:38:29]: Oh, okay. I see.Ivan [00:38:29]: Which was like, “Every agent needs a computer.”Swyx [00:38:31]: I see, I see.Ivan [00:38:32]: So they have launched something recently.Swyx [00:38:34]: Yeah, they have Microsoft Power Automate, I'm sure, I'm sure, they're gonna have their version.macOS Sandboxes, Apple Constraints, and the Windows OpportunityIvan [00:38:39]: Version of that, yeah.Swyx [00:38:39]: You're gonna try to do yours, and it - I always know there's always demand for Mac, but I know it's, tricky to host, macOS sandboxes.Ivan [00:38:49]: We will have macOS sandboxes fairly soon. The problem with macOS, OS sandboxes is, I'm deep in this, I don't know how much interesting is.Swyx [00:38:55]: No, it's.Ivan [00:38:56]: MacOS has this problem.Swyx [00:38:57]: It's a licensing thing, right?Ivan [00:38:58]: Licensing thing. So one, you're allowed to run only two parallel VMs per machine, so that's one. Two, you can only license to a different user every 24 hours. So if you come in and theoretically, if I wanna charge you per second and I charge you one second, I have to have it idle for the rest of the day. I can't have anyone else doing that. So the pricing will be different in the sense that I will have to - we would have to charge for 24 hours, and that's not even, that's not even the most difficult thing. But the, thing above that is, from a security perspective, they enable you to do memory snapshot, pause, resume, but only on the same physical drive, physical machine. And so what you can do in, Windows world or Linux world is that I can move in the background, your snapshot from one to the other and manage load, right? Here, if you wanna do that, you essentially have to have your.Swyx [00:39:49]: Yeah, snapshots. Yeah.Ivan [00:39:50]: Your.Swyx [00:39:51]: It's like.Ivan [00:39:51]: Physical machine.Swyx [00:39:52]: You can't break it up.Ivan [00:39:53]: You can't, you can't move things around that, and all of that is, that part is, from a security standpoint, if it is written. Like, I understand the security aspect of that, but it disables you from doing these agentic, like really scalable agentic workloads.Swyx [00:40:08]: You need to do a vibe-coded, clean room implementation on macOS that you can then - That's like Clean OS or something. I don't know.Ivan [00:40:17]: So. We have.Swyx [00:40:18]: ‘cause like Linux was originally like a clean room rewrite of Unix.Ivan [00:40:21]: Okay. Yeah.Swyx [00:40:21]: Or something like that, right? Like same thing to macOS. Someone needs to do it.Ivan [00:40:25]: Someone will do that, and someone will have some long-running agents for a few days to figure this stuff out. But yeah. So definitely we - we're really close to offering something ‘cause people do want it, but the pricing will be different, and the feature set will be sort of stringent.Swyx [00:40:38]: Yeah, nobody's gonna use this. like, the labs, the labs will because they want to automate macOS.Ivan [00:40:42]: They have to do RL. They have to do RL again. But even if you The - So the point is with the RL part, if you, if you do RL on macOS, then the next iteration of the model comes out, it will be able to use these tools significantly. Then you actually need to run those, that somewhere. So you're gonna have to have that, later on. And from, if anyone at Apple is listening, I very much feel that they are shooting themselves in the foot of the scale of the revenue of compute or licensing they could get if they would just enable a concurrency model similar to what you can get on a Windows and a, and Linux.Swyx [00:41:17]: Yeah. Yeah. And I'm sure they've heard this before. They just don't care. Yeah, it's And maybe they will change their mind with the new CEO.Ivan [00:41:24]: Yeah. We'll see.Swyx [00:41:25]: We'll see.Ivan [00:41:25]: High hopes.Swyx [00:41:26]: High hopes.Ivan [00:41:26]: High hopes.Swyx [00:41:27]: Okay. But I, it's very clear the market opportunity is huge in Windows, and you can go for a long time on just Windows, but your customers are gonna want both. and I think, it is interesting to me that, this is the sort of God application of agents, right? Like, I don't It was - How big was OpenClaw for you guys? Like, was it, was there, a significant bump.OpenClaw, Agent Labs, and the B2B2C Sandbox MarketIvan [00:41:54]: Not for us because we.Swyx [00:41:54]: Because you already.Ivan [00:41:55]: We're kind of positioned differently. Whereas although it's completely PLG and we have individual developers that use it, most of the users that use Daytona are sort of a B2B2C. Sort of it's either B2B or B2B2C. So, in the researcher world, it's B2B, so you're selling to, labs and neo labs and things like that. But on the long-running agents, it's mostly, from a scale revenue perspective, it's mostly B2B2C, where you have a app layer agent that uses you at a big scale.Swyx [00:42:26]: Like a Manus. Yeah.Ivan [00:42:28]: Like a Manus Lovable type of thing.Swyx [00:42:31]: Yeah. I think that's the question of, well how, um-Uh, yeah, B2B to C is basically to me what I've been calling an agent lab, which is kind of like you're not in a model lab, but you're making a very good wrapper that is a platform that other people can sign up so they don't have to code those things. Yeah, it sound, it sounds like a much better market than the direct OpenClaw market.Ivan [00:42:56]: I've like - We I've done multiple things. So the CodeAnywhere's part of our career path R in the calendar, was very much an end user developer product. And so that is great. It You can get a lot of developer love, and I feel that we do as a company have a bunch of developer love. But it's a different type, where it's people building these things. Again, it's more akin to a Twilio because you don't really run - As a person, you wouldn't run Twilio. I don't know how many people remember. It was like ask your developer billboard and whatnot. And people really love Twilio, but they only used it inside of like, “Oh, I'm building this app or service for thing.” And so we're very much directly to that. And you also know that I used to work for a competitor for Twilio, so it's kind of ingrained, in my DNA.Swyx [00:43:35]: People don't know InfoBip is that big.Ivan [00:43:38]: Yeah, it's.Swyx [00:43:39]: Because.Ivan [00:43:40]: It's a billion euro.Swyx [00:43:40]: They're all American. They're like, “Whatever's in Europe doesn't matter to me.” But like it's the, it's the same size or bigger? Same size?Ivan [00:43:46]: It's about half the size.Swyx [00:43:47]: Half the size?Ivan [00:43:48]: Yeah, about half the size.Swyx [00:43:48]: It's like, yeah.Ivan [00:43:48]: Still huge. Multiple billions a year. Yes.Swyx [00:43:51]: That's crazy.Ivan [00:43:51]: Exactly, and so that - These are like really interesting and large revenue-generating, very sticky businesses. Whereas when you're selling to the - When your focus is the end developer, it is a very hard sell because they're very price sensitive, very price conscious, very around that. And there's very It's very hard to scale. Your cap is the number of people that are willing to spin up - First of all, wanna spin that up, and then spin up multiple of these. Whereas if you're in the enterprise one, like we know everyone's talking about like how many tokens they're spending, I'm spending. Like a lot of companies today are like, “If this is our company, spend as much as you can.” Like basically that is where we're going. And so if you think about that paradigm, where you're selling to companies that say, “Spend as much as you can to generate, productivity,” versus, “Oh, I'm a single person. I have this much budget, and I'm doing this thing because it's fun or it's helping me out or whatever.” Like it is a different, it's a different go-to-market, I think, strategy.MCP, CLIs, and Sandboxes as the Agent RuntimeSwyx [00:44:50]: Yeah, there's a lot of discussion. I'm just kind of going through like the mental list of things that are in your favor, which is, for example, MCP versus CLI. Like obviously you want CLI. It's been very good for you. I feel like it's maybe a drop in the bucket or maybe it's huge. I'm just checking whether it's like these are big trends.Ivan [00:45:10]: Those things you - work well in our favor, to your point just because every.Swyx [00:45:13]: They're kind of drop in the bucket, right?Ivan [00:45:15]: I think it's like sort of all the things come together. And so there's so many things that impact that. To your point, like OpenClaw wasn't huge for us, but like having the agent SDK, from Anthropic, so or Cloud Claude Code was very interesting. The reason why it was interesting is that a lot of, let's call them app I don't know what to call them, app layer agent companies, essentially they are like, “Oh, I can create this new app, this new agent. All I need, I just use Claude Code, and I throw it into a sandbox, and then I have my interface to the human to that.” And so that enabled so many more companies to actually offer this, and then they would pull on sandbox. So that was, that was interesting. And to your point, like MCP, versus the CLI, the MCP is an interface against an API, whereas the CLI is like you can actually go do things. Like this is it. The difference between integrations and actually running scripts or data or analysis against a thing. So being able to use a CLI very well enables the agent to do more things, and it's because that people will invoke a sandbox, they'll run it in the CLI, and but it'll do anal-analysis on that data and then give you an actual result versus just, pulling data from an API source.Swyx [00:46:29]: Yeah, it's a layer of indirection basically, it's the same thing as agentic search versus RAG, which where you're.Ivan [00:46:34]: Exactly, yeah.Swyx [00:46:34]: Just like you just win whenever people put more agents into their workflow. And so like it doesn't really matter, but I'm just kinda teasing out like what else have people heard about that like it's sort of, “Oh yeah, this is another sandbox use case. Oh yeah, that's another one.” Am I, am I missing any big ones?Ivan [00:46:51]: The thing, the thing that people, which is the computer use stuff, which I think is probably the most interesting one, is, and to your point, we've talked to so many people over the last year. It's like, “Oh, like why do you need a sandbox? Why do you need this? Why this?” And to your point, it's like, “Oh, I need sandbox for this. I need sandbox for that. I need sandbox-” It's like, “Oh, I need it for every single thing.” And so basically what I, what I - and it sounds like a broken record, it's like you use a laptop every single day, right? And you are n of one. It's just you. But now imagine how And by the way, the laptop, the computer PC market, the PC market is about equal to the cloud market in total. So it's about 150, 180 billion a year. Something like that. It's about roughly the three cloud hyperscalers is about equal to like Apple, HP, Lenovo, whatever, It's a little bit less, but it's sort of like that. And now imagine And that's just like, so how big is the addressable market? What, how many people are there in the world now? What's the last data?Swyx [00:47:45]: Let's call it eight billion.Ivan [00:47:46]: Eight billion. And so let's say you can have two computer, like you have one personal and one business, whatever. Like so it's double that, right? and so that's 16 billion, right? How many agents are gonna be running in two years, in 10 years, in 100 years? Like And for every single task, they will need one of these. And so how big is that? That market is essentially quote unquote “infinite”. You will get to the point, and Dylan Patel was at the conference talking about, from SemiAnalysis, that talks usually about GPUs, was also talking about how CPUs will now be a bottleneck because it will be the constraint. You won't be able to grow, or we won't be able to have enough of these because there won't be enough CPUs to basically do.Swyx [00:48:23]: Yeah. Well, I actually had a really good podcast with Doug Oliphant, who, which was his president at SemiAnalysis, where they've basically been like, yeah, it's been a GPU shortage first, but then it's cascaded down to memory and now to CPUs.Ivan [00:48:35]: CPU, yeah.Swyx [00:48:35]: It-What's next? So networking. So, networking actually has been in shortage for a while if you're looking at, just GPU networking. But, yeah, it's really crazy the amount of computer use that's going on, yeah, cool. I, other questions are, just the one very big part is the open sourceness which you didn't have to do, your competitors don't do, like it's not, a lot of people are worried about keeping their projects open source because some competitor can just slot fork it. I don't know if there's any reflections on just being an open source company.Open Source, Trust, and Enterprise ProcurementIvan [00:49:15]: Yeah. There's a bunch. So we the original product that we did was open source.Swyx [00:49:19]: Yeah. CodeAnywhere.Ivan [00:49:20]: So doing that was actually very good for us. There's basically a saying of, What's the saying? Like, companies that are, that are doing really well, measure themselves against, free cashflow, that are kinda okay, it's EBITDA, then, it's, it goes all the way down.Swyx [00:49:36]: The worst is like GitHub stars.Ivan [00:49:37]: GitHub stars. GitHub stars are the worst, yeah. So you go all the way down to GitHub stars. And so our original one was GitHub stars. That's what we talked about, we're at the point we're talking about revenue, so we're we've gone up the stack on that. And so we started.Swyx [00:49:47]: No, profit.Ivan [00:49:48]: Yeah. We haven't, we're, we'll get there. We'll get there. But basically at that point we did stars and GitHub and it was useful, and the original variation that we did, it we split the core into its own repo and it was Apache 2.0, so very, permissive. And then we basically would bundl

Apple has not always been known as the bargain option, but the latest Apple Silicon Macs might be changing that conversation. In this episode, the team gets into the surprising value of the M4 Mac Mini, why even a base model can be serious overkill for many voice actors, and how smaller machines like the MacBook Air and MacBook "Neo" style systems compare for remote sessions, Source Connect, Pro Tools, and travel rigs. The conversation also wanders into classic Pro Audio Suite territory, including old Macs that refuse to die, running Linux or Windows on ageing Apple hardware, right to repair, weird manufacturer lockouts, obsolete cables, Shure MV88 bargain hunting, Pro Tools archiving disasters, and why keeping your sessions self contained still matters. There is also a very important chainsaw story. Obviously. Thanks to our sponsors, Austrian Audio, making passion heard for supporting the show. 00:00 Intro and sponsor mention 00:33 Talking Macs before the show 01:20 The M4 Mac Mini and Apple's surprising value 02:29 Apple Silicon price to performance 03:38 Why older M1 machines still hold up 04:02 Using a Mac Mini as a road computer 05:22 Is the Mac Mini overkill for VO work? 06:38 MacBook Air, external monitors, and display quirks 09:04 Apple cables, chips, and control 10:04 The end of Lightning and the move to USB C 12:09 Audio interfaces on iPhone and iPad 12:30 Shure MV88 bargains for older iPhones 14:43 Right to repair 16:11 Robbo's old chainsaw story 18:21 Repair restrictions and replacement culture 19:29 Mac longevity 20:18 Running Windows on an old iMac 22:03 Linux on old Apple hardware 25:29 Old drives, CDs, DVDs, and lost archives 26:12 Mezzo and old Pro Tools backups 27:13 Missing Pro Tools audio files 28:33 Pro Tools archiving tip, sort by file path 29:54 Wrap up and credits

An online furor over the upcoming Spider-Man movie brings the issue of AI companions to the fore, along with broader concerns about celebrity likenesses, trademarks, and legal protections. Chuck Joiner, David Ginsburg, Eric Bolden, Brian Flanigan-Arthurs, Marty Jencius, and Jeff Gamet examines Discover removing Apple Wallet features, Mac mini pricing and configuration changes tied to RAM shortages, Apple's creator apps, and new airline restrictions on portable battery packs.  Show Notes: Chapters: 00:00 Spider-Man, AI, Apple Wallet, Mac mini pricing, and airline charging topics introduced00:53 AI as Peter Parker's companion in the upcoming Spider-Man story02:22 Marvel's history of AI characters from Jarvis to Vision03:49 Fan reactions, source material, and changes to superhero storytelling05:03 Taylor Swift, celebrity likenesses, and AI guardrails06:11 Why protecting a public persona matters in the AI era08:05 Trademarks, political misuse, and future legal challenges09:43 How lawsuits may shape AI likeness protections11:27 Discover drops Apple Wallet balance and rewards features12:51 Why losing Apple Wallet integration frustrates cardholders14:31 Discover app vs. Apple Wallet convenience16:58 Credit history, card cancellation, and credit utilization advice19:25 Mac mini pricing shifts and disappearing configurations20:52 RAM shortages, upgrade limitations, and Apple hardware design21:56 Could an A-series chip Mac mini make sense?23:48 The appeal of lower-powered Apple hardware26:15 Apple TV, gaming, and A-series processor possibilities28:32 Apple's creator apps get positive attention29:58 Airline restrictions on portable battery packs31:16 Battery fire incidents and airline policy concerns34:43 Panel wrap-up and closing thoughts35:58 Guest projects and social media connections42:14 Jeff Gamet's projects, blogs, and show appearances44:26 Closing remarks and support information Links: AI will be Spider-Man's only friend in 'Brand New Day.' The internet is losing its mind over ithttps://www.fastcompany.com/91535483/spider-man-spiderman-brand-new-day-peter-parker-only-friend-is-ai-marvel   Mac mini pricing shifts as $599 configuration disappears from Apple storehttps://appleinsider.com/articles/26/05/01/mac-mini-pricing-shifts-599-config-disappears-from-apple-store   Meta says it may withdraw its apps from New Mexico if judge agrees to the state's demands - Engadgethttps://www.engadget.com/2161607/meta-says-it-may-withdraw-its-apps-from-new-mexico-if-judge-agrees-to-the-states-demands/   Discover Dropping Two Apple Wallet Featureshttps://www.macrumors.com/2026/04/30/discover-apple-wallet-features-removed/   I dumped Adobe for Apple and got everything I need for lesshttps://www.macworld.com/article/3110398/i-dumped-adobe-for-apple-and-got-everything-i-need-for-less.html   This common travel habit is now banned on American Airlines flightshttps://www.fastcompany.com/91534251/this-common-travel-habit-is-now-banned-on-american-airlines-flights   Celebrities like Taylor Swift are setting the guardrails for the AI agehttps://www.fastcompany.com/91534335/celebrities-taylor-swift-ai-guardrails   Guests: Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.c David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud Marty Jencius, Ph.D.,is a counselor educator and technology pioneer who has spent 30 years bringing emerging tech into his field — from founding one of the first professional listservs (CESNET-L) to podcasting, virtual reality, and now AI and AR. He is the founder of ThePodTalk.net, where he produces Vision ProFiles, The Old Mac Gang, A.I. Productivity Workflow, The Tech Savvy Professor, 15 Minute Bytes, The Neo Notebook, and Fade to Chat: Golden Age Cinema. He is also a regular panelist on MacVoices Live!, In Touch with iOS, and The Mac Show. Find him on Bluesky and Mastodon. Support: MacVoices is supported by Macstock Connference, along with Ecamm Creator Camp, taking place in Crystal Lake IL on July 9 - 12. Sign up at macstockconference.com and use the code “macvoices” to save $50 off your ticket.      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

An online furor over the upcoming Spider-Man movie brings the issue of AI companions to the fore, along with broader concerns about celebrity likenesses, trademarks, and legal protections. Chuck Joiner, David Ginsburg, Eric Bolden, Brian Flanigan-Arthurs, Marty Jencius, and Jeff Gamet examine Discover removing Apple Wallet features, Mac mini pricing and configuration changes tied to RAM shortages, Apple's creator apps, and new airline restrictions on portable battery packs.  Show Notes: Chapters: 00:00 Spider-Man, AI, Apple Wallet, Mac mini pricing, and airline charging topics introduced 00:53 AI as Peter Parker's companion in the upcoming Spider-Man story 02:22 Marvel's history of AI characters from Jarvis to Vision 03:49 Fan reactions, source material, and changes to superhero storytelling 05:03 Taylor Swift, celebrity likenesses, and AI guardrails 06:11 Why protecting a public persona matters in the AI era 08:05 Trademarks, political misuse, and future legal challenges 09:43 How lawsuits may shape AI likeness protections 11:27 Discover drops Apple Wallet balance and rewards features 12:51 Why losing Apple Wallet integration frustrates cardholders 14:31 Discover app vs. Apple Wallet convenience 16:58 Credit history, card cancellation, and credit utilization advice 19:25 Mac mini pricing shifts and disappearing configurations 20:52 RAM shortages, upgrade limitations, and Apple hardware design 21:56 Could an A-series chip Mac mini make sense? 23:48 The appeal of lower-powered Apple hardware 26:15 Apple TV, gaming, and A-series processor possibilities 28:32 Apple's creator apps get positive attention 29:58 Airline restrictions on portable battery packs 31:16 Battery fire incidents and airline policy concerns 34:43 Panel wrap-up and closing thoughts 35:58 Guest projects and social media connections 42:14 Jeff Gamet's projects, blogs, and show appearances 44:26 Closing remarks and support information Links: AI will be Spider-Man's only friend in 'Brand New Day.' The internet is losing its mind over it https://www.fastcompany.com/91535483/spider-man-spiderman-brand-new-day-peter-parker-only-friend-is-ai-marvel   Mac mini pricing shifts as $599 configuration disappears from Apple store https://appleinsider.com/articles/26/05/01/mac-mini-pricing-shifts-599-config-disappears-from-apple-store   Meta says it may withdraw its apps from New Mexico if judge agrees to the state's demands - Engadget https://www.engadget.com/2161607/meta-says-it-may-withdraw-its-apps-from-new-mexico-if-judge-agrees-to-the-states-demands/   Discover Dropping Two Apple Wallet Features https://www.macrumors.com/2026/04/30/discover-apple-wallet-features-removed/   I dumped Adobe for Apple and got everything I need for less https://www.macworld.com/article/3110398/i-dumped-adobe-for-apple-and-got-everything-i-need-for-less.html   This common travel habit is now banned on American Airlines flights https://www.fastcompany.com/91534251/this-common-travel-habit-is-now-banned-on-american-airlines-flights   Celebrities like Taylor Swift are setting the guardrails for the AI age https://www.fastcompany.com/91534335/celebrities-taylor-swift-ai-guardrails   Guests: Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.c David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud Marty Jencius, Ph.D.,is a counselor educator and technology pioneer who has spent 30 years bringing emerging tech into his field — from founding one of the first professional listservs (CESNET-L) to podcasting, virtual reality, and now AI and AR. He is the founder of ThePodTalk.net, where he produces Vision ProFiles, The Old Mac Gang, A.I. Productivity Workflow, The Tech Savvy Professor, 15 Minute Bytes, The Neo Notebook, and Fade to Chat: Golden Age Cinema. He is also a regular panelist on MacVoices Live!, In Touch with iOS, and The Mac Show. Find him on Bluesky and Mastodon. Support: MacVoices is supported by Macstock Connference, along with Ecamm Creator Camp, taking place in Crystal Lake IL on July 9 - 12. Sign up at macstockconference.com and use the code "macvoices" to save $50 off your ticket.      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

The narrative that we must sacrifice millions of acres of rural farmland for massive AI data centers to "beat China" is a complete myth and is actually weighing us down in our AI development. I sit down with Michael Cation, CEO of Fractal Web and expert in AI software, to dismantle the lies surrounding generative AI, cloud computing, and the massive power- and land-grabs happening in places like Box Elder County, Utah, and Laramie County, Wyoming.Big Tech, foreign land developers, and venture capitalists are using the excuse of "AI dominance" to push through draconian zoning laws, monopolize local utility rates, and drain community resources. But what if the real future of artificial intelligence doesn't require hyperscale data centers at all? Discover how edge computing, narrow AI, and fractal computing provide superior, low-latency tech solutions using devices as small as a Mac Mini — without the devastating economic and physical impacts on American homesteaders and small businesses.If you are tired of the techno-feudalism agenda and the surveillance state, this is the tech reality check you need to hear. Learn more about your ad choices. Visit megaphone.fm/adchoices

Soutenez-nous sur patreon.com/iweek ! Et rejoignez la communauté iWeek !Voici l'épisode 278 d'iWeek (la semaine Apple).Pourquoi Apple retire de la vente certains Mac mini et Mac Studio.Enregistré en streaming, mardi 12 mai 2026 à 18h30, enregistrement accessible en direct pour nos soutiens Patreon.Présentation

There's a lot happening in Apple land right now. Mac mini prices just went up, a Siri class action settlement might land in your inbox soon, and a fresh iOS 27 rumor has some good news for anyone who'd rather talk to Claude than ChatGPT. Tom and Jeff break it all down.In this episode:Apple Notes tips: how search really works, Smart Folders, and ProNotes — a free plugin that brings markdown and slash commands to the Notes appMac mini's base model is gone — the entry price jumps to $799, and Tim Cook says supply constraints won't recover for several monthsApple Education Store now requires UNiDAYS verification, and Apple Watch just joined the discount programiOS 27 rumor: you may soon choose Claude or Gemini as your Apple Intelligence AI instead of ChatGPTApple's $250M Siri lawsuit settlement — if you own an iPhone 15 Pro or 16 series, you might be owed $25–$95M5 MacBook Air first impressions: Jeff's testing one alongside his MacBook Pro — and Tom's university just ordered 100 of themLinks from the show:Apple Notes: Four Tips That Make Finding Things EffortlessFour Fast Ways to Capture to Apple Notes ProNotes (free Apple Notes plugin) Death of the Author by Nnedi Okorafor Playworld by Adam Ross We'd be honored if you'd drop a 5-star rating for us on Apple Podcasts and/or Spotify!Question or Comment? Send us a Text Message!Contact UsDrop us a line at feedback@basicafshow.comYou'll find Jeff at @reyespoint on Threads and reyespoint.bsky.social on BlueskyFind Tom at @tomanderson on ThreadsJoin Tom's newsletter, Apple Talk, for more Apple coverage and tips & tricks.Tom has a new YouTube channelShow artwork by the great Randall Martin DesignEnjoy Basic AF? Leave a review or rating!Review on Apple PodcastsRate on SpotifyRecommend in OvercastIntro Music: Psychokinetics - The ChosenApple MusicSpotifyTranscripts and some images are AI generated and may contain errors and general silliness.

This week on In Touch With iOS, Dave Ginsburg is joined by Jeff Gamet, Chuck Joiner, Guy Serle, and Jill McKinley for a packed Apple discussion covering the latest in Vision Pro, iOS 26.5, Mac shortages, the booming MacBook Neo, HomePod desk setups, CarPlay automation, Apple's Pride Collection, and the iPhone 17 becoming the world's best-selling smartphone. The panel also debates Apple's AI lawsuit settlement and previews MacStock X  The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary Episode 421 of In Touch With iOS features Dave Ginsburg joined by Jeff Gamet, Chuck Joiner, Guy Serle, and Jill McKinley for a lively discussion on the latest Apple news and ecosystem updates. The panel dives into VisionOS 26.5 and the exciting addition of PC VR game streaming support for Vision Pro, opening new possibilities for immersive gaming experiences. They also cover iOS 26.5 RC, new Pride wallpapers and watch bands, WatchOS fixes, and Apple's ongoing RCS messaging improvements. A major focus of the episode is Apple's booming Mac business, as Mac Mini and Mac Studio shortages continue due to skyrocketing AI demand. The panel debates the long-term impact of AI infrastructure growth and discusses Apple doubling MacBook Neo production after unexpectedly strong sales. Conversations also explore the Neo's efficiency, potential future "Mac Neo" products, and whether Apple TV could someday evolve into a true gaming console. Additional topics include using HomePod Minis as desktop speakers, creative CarPlay automations using Shortcuts, Logitech's new education-focused iPad keyboard cases, and Apple TV+ content including John Travolta's directorial debut film. The show wraps with a discussion on Apple's AI-related lawsuit settlement, the iPhone 17 becoming the world's best-selling smartphone, and an enthusiastic preview of MacStock X. Topics and Links In Touch With Vision Pro this week.  visionOS 26.5 Beta 4 Release Notes Apple Vision Pro Gets PC VR Gaming Through New KRVR App Beta this week. iOS 26.5 RC is released this week.  Apple Seeds iOS 26.5 and iPadOS 26.5 Release Candidates to Developers - MacRumors Apple Seeds watchOS 26.5, tvOS 26.5 and visionOS 26.5 Release Candidates - MacRumors watchOS 26.5 Fixes Two Apple Watch Bugs - MacRumors iOS 26.5 Brings End-to-End Encryption to iPhone-Android RCS Messages - MacRumors Apple Releases New Firmware for AirPods Max 2 - MacRumors In Touch With Mac this week macOS Tahoe 26.5 Release Candidate Now Available Apple Cuts More Mac Studio and Mac Mini RAM Options as Memory Shortage Worsens - MacRumors Apple doubles MacBook Neo production, orders fresh batch of A18 Pro chips Other Topics HomePod Desk Speakers Bring Apple Audio to Workspaces  How to auto-open Maps when you connect to CarPlay News Apple introduces a new Pride Collection iPhone 17 Outselling Every Other Phone Worldwide So Far This Year Logitech announces two new keyboard cases for iPad - 9to5Mac Apple TV drops first trailer for John Travolta's directorial debut movie You Might Be Eligible for a Cut of Apple's $250 Million AI Settlement Announcements Macstock X is here celebrating its 10th anniversary ! Dave, Chuck, Jeff, Marty, and Jill are all speaking this year!. With Three Full Days of expert-led Presentations and Workshops, Macstock's sessions are crammed full of productivity-enhancing content. NEW this year is a partnership with sponsor Ecamm. Ecamm Creator Camp: Mac Edition on July 9, 2026 there are only 100 tickets available for the bundle. There are 2 passes available: Macstock weekend pass July 10,11,12, 2026 or the Macstock Ecamm Bundle starting July 9 (only 100 tickets available)  Come join us. Register HERE and use our offer code INTOUCH to save $50 Our Host Dave Ginsburg is an IT professional supporting Mac, iOS and Windows users and shares his wealth of knowledge of iPhone, iPad, Apple Watch, Apple TV and related technologies. Visit the YouTube channel https://youtube.com/intouchwithios follow him on Mastodon @daveg65, , BlueSky @daveg65  and the show @intouchwithios   Our Regular Contributors Jeff Gamet is a podcaster, technology blogger, artist, and author. Previously, he was The Mac Observer's managing editor, and Smile's TextExpander Evangelist. You can find him on Mastadon @jgamet Pixelfed @jgamet@pixelfed.social and Bluesky @jgamet.bsky.social‬ Podcasts The Context Machine Podcast  Retro Rewatch Retro Rewatch His YouTube channel https://youtube.com/jgamet Marty Jencius, Ph.D., is a professor of counselor education at Kent State University, where he researches, writes, and trains about using technology in teaching and mental health practice. His podcasts include Vision Pro Files, The Tech Savvy Professor and Circular Firing Squad Podcast. Find him at jencius@mastodon.social  https://thepodtalk.net  Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him by email at eabolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast.   Jill McKinley works in enterprise software, server administration, and IT A lifelong tech enthusiast, she started her career with Windows but is now an avid Apple fan. Beyond technology, she shares her insights on nature, faith, and personal growth through her podcasts—Buzz Blossom & Squeak, Start with Small Steps, and The Bible in Small Steps. Watch her content on YouTube at @startwithsmallsteps and follow her on X @schmern. Find all her work at http://jillfromthenorthwoods.com  Chuck Joiner is the host of MacVoices and hosts video podcasts with influential members of the Apple community. Make sure to visit macvoices.com and subscribe to his podcast. You can follow him on Twitter @chuckjoiner and join his MacVoices Facebook group. Guy Serle is one of the hosts of the new The Gmen Show along with GazMaz and email GMenshow@icloud.com  @MacParrot and @VertShark on X  Vertshark on YouTube, Google Voice +1 Area code  703-828-4677

This week's full broadcast of Computer Talk Radio includes - 00:00 - Nerd News updates for normies - AskJeeves, FCC, China, AI, Microsoft, RAM, motherboards - 11:00 - Patience is important - Benjamin shares when technology teaches us patience - 22:00 - Mac Mini entry point is gone - Keith and Benjamin note $600 Mac Mini gone due to AI demand - 31:00 - Marty Winston's Wisdom - Mark covers Kensington QuietType Pro Silent Mech Keyboard - 39:00 - Scam Series - Emergency Contact - Benjamin shares of the Emergency Contact Spoof Scam - 44:00 - Keske on computer chips - Steve asks Benjamin about all the computer chips in his home - 56:00 - Dr Doreen Galli - ACT Expo 2026 - Doreen tells of seeing the Advanced Clean Technology Expo - 1:07:00 - Listener Q&A - digital forensics - Alicia asks how digital forensics can recover deleted info - 1:16:00 - IT Professional Series - 378 - Benjamin notes the real costs of ignoring small tech problems - 1:24:00 - Listener Q&A - pop-up warnings - Melissa asks about pop-ups saying her computer is infected

Bumble gooit het roer om en schrapt de swipe-functie die dating-apps groot maakte. De app, bekend om het principe dat alleen vrouwen het gesprek kunnen starten, stopt ook met die aanpak. Stijn Goossens bespreekt het in deze Tech Update. Dating-app Bumble kondigt een radicale koerswijziging aan: de swipe-functie verdwijnt van het platform. CEO Whitney Wolfe omschrijft de nieuwe methode als revolutionair, maar heeft nog niet bekendgemaakt wat er precies voor in de plaats komt. De nieuwe functies worden verwacht tegen het einde van dit jaar. Opmerkelijk is ook dat Bumble afstapt van het principe waarbij alleen vrouwen het eerste bericht kunnen sturen. Die functie was jarenlang het onderscheidende kenmerk van de app en werd breed gewaardeerd. Volgens Wolfe was het tegelijk ook een soort afdwinging van een specifieke genderrol. Ze stelt dat de kern van de functie, meer regie voor vrouwen, in de nieuwe opzet behouden blijft, al is onduidelijk hoe dat precies vorm krijgt. Bumble experimenteert al langer met AI. Zo werkt het platform aan een AI-assistent genaamd Bee, die op basis van interviewvragen matches kan aanraden aan gebruikers. De kans is groot dat de vervanging van het swipen daar nauw mee samenhangt, net zoals andere grote dating-apps volop inzetten op AI-gestuurde matchmaking. Verder in deze Tech Update Apple verhoogt mogelijk de prijs van de MacBook Neo. De goedkope laptop, uitgebracht in maart, dreigt duurder te worden door stijgende chipprijzen en verdubbelde productieaantallen richting 10 miljoen stuks. Apple stopte deze week al met de goedkoopste Mac Mini-variant, waardoor de instapprijs met honderd euro steeg. Franse autoriteiten starten formeel onderzoek naar Elon Musk en X. Aanleiding is de weigering van Musk om te verschijnen bij een vrijwillig verhoor over vermeende buitenlandse inmenging in de Franse politiek via het algoritme van X. Ook de verspreiding van AI-deepfakes en het gedrag van AI-assistent Grok spelen mee in het onderzoek. Zometeen in De Schaal van Hebben: Dyson Spot+Scrub AI vs. Eufy Omny S2 robotstofzuigersSee omnystudio.com/listener for privacy information.

Benjamin and Chance give their opinions on the new Pride wallpaper and watch band lineup for 2026, as well as talk about a new watch face supposedly coming with watchOS 27. Also, in our seemingly-recurring segment on Mac desktop supply constraints, Apple stopped selling the $599 Mac mini altogether this week. Also, the company shares some curious tidbits about its future strategy in its first quarterly earnings call to feature incoming CEO John Ternus.  And in Happy Hour Plus, Apple loves to talk about the customer satisfaction numbers for its products, but we give our personal takes on how the product lines stack up. Subscribe at 9to5mac.com/join. Sponsored by Bartender: Organize and control your Mac's menu bar so it stays clean and uncluttered. Visit macbartender.com/happyhour and use code HAPPYHOUR to save 10% on Bartender 6. Sponsored by Shopify: See less carts go abandoned and more sales. Sign up for a $1 per month trial at shopify.com/happyhour. Sponsored by IM8: Go to IM8HEALTH.com/happyhour and use code happyhour to get a free welcome kit, five free travel sachets, and 10% off your order.  Hosts Chance Miller @ChanceHMiller on Twitter @ChanceHMiller on Instagram @ChanceHMiller on Threads Benjamin Mayo @bzamayo on Twitter @bzamayo@mastodon.social @bzamayo on Threads Subscribe, Rate, and Review Apple Podcasts Overcast Spotify 9to5Mac Happy Hour Plus Subscribe to 9to5Mac Happy Hour Plus! Support Benjamin and Chance directly with Happy Hour Plus! 9to5Mac Happy Hour Plus includes:  Ad-free versions of every episode  Pre- and post-show content Bonus episodes Join for $5 per month or $50 a year at 9to5mac.com/join.  Feedback Submit #Ask9to5Mac questions on Twitter, Mastodon, or Threads Email us feedback and questions to happyhour@9to5mac.com Links iOS 26.5's new Pride wallpaper revealed, plus Apple Watch face Apple unveils Pride Edition Sport Loop for Apple Watch, order today iOS 26.5 adds beautiful wallpapers for your iPhone, here's what's new Here's the next Apple Watch face coming in watchOS 26.5 and how to customize it How Will John Ternus Run Apple as CEO? With More Investments, Fewer Buybacks - Bloomberg Apple discontinues base Mac mini, now starts at $799 with 512GB storage Apple's most powerful Mac Studio loses its last remaining RAM upgrade option John Ternus joins Apple's Q2 2026 earnings call, touts ‘incredible roadmap ahead' Apple says iPhone 17 lineup is officially the ‘most popular' in its history Tim Cook says iPhone 17 demand is 'off the charts', but supply constraints impacted sales Apple's R&D spending hits new record as AI investment ramps up Apple considers Intel and Samsung to diversify chip manufacturing away from TSMC iOS 27 will let you choose between Gemini, Claude, and more for AI features: report

Apple shares its Q2 2026 results and tops expectations for the quarter! Mac Minis are increasingly becoming more difficult to acquire, thanks to AI. Apple plans to reinvest any tariff refunds it receives into US manufacturing. And iOS 26.5 is just around the corner as the company prepares to ship iOS 27 later this year. Six Colors Charts: Apple announces record fiscal second quarter. Good luck getting a Mac Mini for the next 'several months'. Apple explores using Intel and Samsung to build main device chips in the US. Any tariff refund Apple gets will be reinvested into US manufacturing. Apple files for Supreme Court stay in Epic case over off-App Store commission dispute. iOS 26.5: New features, release date, more. iOS 27 lets users create custom Wallet passes from any QR code as Apple gives up waiting for developers. Video offers clearest look yet at foldable iPhone Ultra dummy unit. The OpenAI smartphone will fail, but it'll be good for iPhone users. xAI is bringing Grok Voice mode to Apple CarPlay. Mac mini is the best platform for Perplexity's personal computer. iOS 27 Features: Apple plans to let users swap models across Apple Intelligence. Apple researchers built an AI that tests several ideas in parallel before answering. Apple Vision Pro used for hundreds of cataract surgeries in the last year. On the future of Apple's Vision platform. Notepad++ for Mac release is disavowed by the creator of the original. Porsche will contest Laguna Seca in historic colors of the Apple Computer livery. 2 letters from Steve. Picks of the Week Leo's Pick: Furfall Christina's Pick: Clocker Andy's Picks: LivbePods Jason's Pick: Pedometer++ 8 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit webroot.com/twit mill.com/MBW

Apple shares its Q2 2026 results and tops expectations for the quarter! Mac Minis are increasingly becoming more difficult to acquire, thanks to AI. Apple plans to reinvest any tariff refunds it receives into US manufacturing. And iOS 26.5 is just around the corner as the company prepares to ship iOS 27 later this year. Six Colors Charts: Apple announces record fiscal second quarter. Good luck getting a Mac Mini for the next 'several months'. Apple explores using Intel and Samsung to build main device chips in the US. Any tariff refund Apple gets will be reinvested into US manufacturing. Apple files for Supreme Court stay in Epic case over off-App Store commission dispute. iOS 26.5: New features, release date, more. iOS 27 lets users create custom Wallet passes from any QR code as Apple gives up waiting for developers. Video offers clearest look yet at foldable iPhone Ultra dummy unit. The OpenAI smartphone will fail, but it'll be good for iPhone users. xAI is bringing Grok Voice mode to Apple CarPlay. Mac mini is the best platform for Perplexity's personal computer. iOS 27 Features: Apple plans to let users swap models across Apple Intelligence. Apple researchers built an AI that tests several ideas in parallel before answering. Apple Vision Pro used for hundreds of cataract surgeries in the last year. On the future of Apple's Vision platform. Notepad++ for Mac release is disavowed by the creator of the original. Porsche will contest Laguna Seca in historic colors of the Apple Computer livery. 2 letters from Steve. Picks of the Week Leo's Pick: Furfall Christina's Pick: Clocker Andy's Picks: LivbePods Jason's Pick: Pedometer++ 8 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit webroot.com/twit mill.com/MBW

Apple shares its Q2 2026 results and tops expectations for the quarter! Mac Minis are increasingly becoming more difficult to acquire, thanks to AI. Apple plans to reinvest any tariff refunds it receives into US manufacturing. And iOS 26.5 is just around the corner as the company prepares to ship iOS 27 later this year. Six Colors Charts: Apple announces record fiscal second quarter. Good luck getting a Mac Mini for the next 'several months'. Apple explores using Intel and Samsung to build main device chips in the US. Any tariff refund Apple gets will be reinvested into US manufacturing. Apple files for Supreme Court stay in Epic case over off-App Store commission dispute. iOS 26.5: New features, release date, more. iOS 27 lets users create custom Wallet passes from any QR code as Apple gives up waiting for developers. Video offers clearest look yet at foldable iPhone Ultra dummy unit. The OpenAI smartphone will fail, but it'll be good for iPhone users. xAI is bringing Grok Voice mode to Apple CarPlay. Mac mini is the best platform for Perplexity's personal computer. iOS 27 Features: Apple plans to let users swap models across Apple Intelligence. Apple researchers built an AI that tests several ideas in parallel before answering. Apple Vision Pro used for hundreds of cataract surgeries in the last year. On the future of Apple's Vision platform. Notepad++ for Mac release is disavowed by the creator of the original. Porsche will contest Laguna Seca in historic colors of the Apple Computer livery. 2 letters from Steve. Picks of the Week Leo's Pick: Furfall Christina's Pick: Clocker Andy's Picks: LivbePods Jason's Pick: Pedometer++ 8 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit webroot.com/twit mill.com/MBW

Apple shares its Q2 2026 results and tops expectations for the quarter! Mac Minis are increasingly becoming more difficult to acquire, thanks to AI. Apple plans to reinvest any tariff refunds it receives into US manufacturing. And iOS 26.5 is just around the corner as the company prepares to ship iOS 27 later this year. Six Colors Charts: Apple announces record fiscal second quarter. Good luck getting a Mac Mini for the next 'several months'. Apple explores using Intel and Samsung to build main device chips in the US. Any tariff refund Apple gets will be reinvested into US manufacturing. Apple files for Supreme Court stay in Epic case over off-App Store commission dispute. iOS 26.5: New features, release date, more. iOS 27 lets users create custom Wallet passes from any QR code as Apple gives up waiting for developers. Video offers clearest look yet at foldable iPhone Ultra dummy unit. The OpenAI smartphone will fail, but it'll be good for iPhone users. xAI is bringing Grok Voice mode to Apple CarPlay. Mac mini is the best platform for Perplexity's personal computer. iOS 27 Features: Apple plans to let users swap models across Apple Intelligence. Apple researchers built an AI that tests several ideas in parallel before answering. Apple Vision Pro used for hundreds of cataract surgeries in the last year. On the future of Apple's Vision platform. Notepad++ for Mac release is disavowed by the creator of the original. Porsche will contest Laguna Seca in historic colors of the Apple Computer livery. 2 letters from Steve. Picks of the Week Leo's Pick: Furfall Christina's Pick: Clocker Andy's Picks: LivbePods Jason's Pick: Pedometer++ 8 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit webroot.com/twit mill.com/MBW

Apple shares its Q2 2026 results and tops expectations for the quarter! Mac Minis are increasingly becoming more difficult to acquire, thanks to AI. Apple plans to reinvest any tariff refunds it receives into US manufacturing. And iOS 26.5 is just around the corner as the company prepares to ship iOS 27 later this year. Six Colors Charts: Apple announces record fiscal second quarter. Good luck getting a Mac Mini for the next 'several months'. Apple explores using Intel and Samsung to build main device chips in the US. Any tariff refund Apple gets will be reinvested into US manufacturing. Apple files for Supreme Court stay in Epic case over off-App Store commission dispute. iOS 26.5: New features, release date, more. iOS 27 lets users create custom Wallet passes from any QR code as Apple gives up waiting for developers. Video offers clearest look yet at foldable iPhone Ultra dummy unit. The OpenAI smartphone will fail, but it'll be good for iPhone users. xAI is bringing Grok Voice mode to Apple CarPlay. Mac mini is the best platform for Perplexity's personal computer. iOS 27 Features: Apple plans to let users swap models across Apple Intelligence. Apple researchers built an AI that tests several ideas in parallel before answering. Apple Vision Pro used for hundreds of cataract surgeries in the last year. On the future of Apple's Vision platform. Notepad++ for Mac release is disavowed by the creator of the original. Porsche will contest Laguna Seca in historic colors of the Apple Computer livery. 2 letters from Steve. Picks of the Week Leo's Pick: Furfall Christina's Pick: Clocker Andy's Picks: LivbePods Jason's Pick: Pedometer++ 8 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit webroot.com/twit mill.com/MBW

- Rekord der Rekorde: Apples Quartalszahlen 2/2026 - Ein Mini macht sich rar: Wachsende Knappheit bei Mac mini und Mac Studio - Teure Siri: Apple will wegen KI-Verspätung 250 Millionen US-Dollar zahlen - Mehr KI-Auswahl: Apple öffnet iOS 27 angeblich auch für andere - Apples ganzer Stolz: Pride-Armband 2026 vorgestellt - Umfrage der Woche - Zuschriften unserer Hörer === Anzeige / Sponsorenhinweis === Sichere dir 4 EXTRA-Monate auf einen 2-Jahresplan über https://nordvpn.com/apfelfunk Teste NordVPN jetzt risikofrei mit der 30 Tage Geld-Zurück-Garantie. === Anzeige / Sponsorenhinweis Ende === Links zur Sendung: - Six Colors: Apple meldet Rekord im zweiten Geschäftsquartal - https://sixcolors.com/post/2026/04/apple-announces-record-fiscal-second-quarter/ - Apfelfunk News: Apple erwartet deutlich höhere Speicherkosten ab Juni - https://apfelfunk.com/apple-erwartet-deutlich-hoehere-speicherkosten-ab-juni/ - Apfelfunk News: Apple erreicht Rekord-R&D-Ausgaben von 11,4 Mrd. USD - https://apfelfunk.com/apple-erreicht-rekord-rd-ausgaben-von-114-mrd-usd/ - MacRumors: Apple stoppt Verkauf des Mac Mini mit 256 GB Speicher, Einstiegspreis steigt auf 799 Dollar - https://www.macrumors.com/2026/05/01/mac-mini-now-starts-at-799/ - MacRumors: Apple streicht weitere RAM-Optionen bei Mac Studio und Mac Mini wegen Speicherknappheit - https://www.macrumors.com/2026/05/05/apple-mac-studio-mac-mini-ram-cuts/ - Mac & i: Apple zahlt 250 Millionen US-Dollar an Kläger wegen verschobener Siri - https://www.heise.de/news/Verschobene-Siri-Apple-will-250-Millionen-US-Dollar-an-Klaeger-zahlen-11283642.html - Mac & i: Nicht nur ChatGPT in iOS 27, Gemini soll den Mac kontrollieren - https://www.heise.de/news/Apple-KI-Nicht-nur-ChatGPT-in-iOS-27-und-Gemini-soll-den-Mac-kontrollieren-11283872.html - Apple Newsroom (Deutschland): Apple stellt neue Pride Collection vor - https://www.apple.com/de/newsroom/2026/05/apple-introduces-a-new-pride-collection/ Kapitelmarken: (00:00:00) Begrüßung (00:14:20) Werbung (00:18:57) Begrüßung (00:20:18) Themen (00:21:31) Rekord der Rekorde: Apples Quartalszahlen 2/2026 (00:48:07) Ein Mini macht sich rar: Wachsende Knappheit bei Mac mini und Mac Studio (00:59:19) Teure Siri: Apple will wegen KI-Verspätung 250 Millionen US-Dollar zahlen (01:04:22) Mehr KI-Auswahl: Apple öffnet iOS 27 angeblich auch für andere (01:20:35) Apples ganzer Stolz: Pride-Armband 2026 vorgestellt (01:26:48) Umfrage der Woche (01:31:59) Zuschriften unserer Hörer

Apple shares its Q2 2026 results and tops expectations for the quarter! Mac Minis are increasingly becoming more difficult to acquire, thanks to AI. Apple plans to reinvest any tariff refunds it receives into US manufacturing. And iOS 26.5 is just around the corner as the company prepares to ship iOS 27 later this year. Six Colors Charts: Apple announces record fiscal second quarter. Good luck getting a Mac Mini for the next 'several months'. Apple explores using Intel and Samsung to build main device chips in the US. Any tariff refund Apple gets will be reinvested into US manufacturing. Apple files for Supreme Court stay in Epic case over off-App Store commission dispute. iOS 26.5: New features, release date, more. iOS 27 lets users create custom Wallet passes from any QR code as Apple gives up waiting for developers. Video offers clearest look yet at foldable iPhone Ultra dummy unit. The OpenAI smartphone will fail, but it'll be good for iPhone users. xAI is bringing Grok Voice mode to Apple CarPlay. Mac mini is the best platform for Perplexity's personal computer. iOS 27 Features: Apple plans to let users swap models across Apple Intelligence. Apple researchers built an AI that tests several ideas in parallel before answering. Apple Vision Pro used for hundreds of cataract surgeries in the last year. On the future of Apple's Vision platform. Notepad++ for Mac release is disavowed by the creator of the original. Porsche will contest Laguna Seca in historic colors of the Apple Computer livery. 2 letters from Steve. Picks of the Week Leo's Pick: Furfall Christina's Pick: Clocker Andy's Picks: LivbePods Jason's Pick: Pedometer++ 8 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit webroot.com/twit mill.com/MBW

In this episode of The Tech Jawn, we discuss…Apple eliminating the entry-level Mac Mini, Week one of the Musk vs. Altman trial, the Pentagon striking deals with 8 big tech companies, and the Shark Tank-backed Scholly founder who is suing Sallie Mae after it acquired the scholarship search startup.Hosts:Robb Dunewood – @RobbDunewoodStephanie Humphrey – @TechLifeStephTerrance Gaines – @BrothaTechLinks:Did Apple Just Eliminate The Entry-Level Mac Mini? — EndgadgetElon Musk vs. OpenAI — CNBCThe Pentagon Strikes With Most Big AI Companies — CNNThe Founder of Scholly Sues Sallie Mae — TechCrunchSupport The Tech Jawn by becoming a Patron – https://thetechjawn.com/patreo Hosted on Acast. See acast.com/privacy for more information.

El programa 2867 de Radiogeek, les habló de varios temas importantes. El Pentágono consolida su alianza con gigantes tecnológicos para el uso de inteligencia artificial; ¡No caigas en la trampa! Guía para comprar y vender seguro en Facebook Marketplace; Instagram está probando etiquetas opcionales de "creador de IA"; Apple no puede satisfacer la demanda del Mac Mini, así que acaba de eliminar el modelo básico; El último fallo de YouTube está consumiendo tu RAM y congelando todo tu PC; La aplicación Google Gemini se renueva; El protocolo RCS cifrado entre Android y iPhone se lanzará con iOS 26.5; y por último La Casa Blanca está considerando una regulación más estricta de los nuevos modelos de IA. Toda esta información la pueden encontrar desde nuestra web www.infosertec.com.ar o bien desde el canal de Telegram/Whastapp, o Instagram. Esperamos sus comentarios.

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

Listen to a recap of the top stories of the day from 9to5Mac. 9to5Mac Daily is available on iTunes and Apple's Podcasts app, Stitcher, TuneIn, Google Play, or through our dedicated RSS feed for Overcast and other podcast players. Sponsored by Bitwarden: Make your life easier with Bitwarden, featuring a secure, open source password manager with end-to-end encryption and seamless autofill across all your devices. New episodes of 9to5Mac Daily are recorded every weekday. Subscribe to our podcast in Apple Podcast or your favorite podcast player to guarantee new episodes are delivered as soon as they're available. Stories discussed in this episode: Apple to seek tariff refunds, plans to reinvest money in the US Apple unveils Pride Edition Sport Loop for Apple Watch, order today iOS 26.5's new Pride wallpaper revealed, plus Apple Watch face Apple discontinues base Mac mini, now starts at $799 with 512GB storage Listen & Subscribe: Apple Podcasts Overcast RSS Spotify TuneIn Google Podcasts Subscribe to support Chance directly with 9to5Mac Daily Plus and unlock: Ad-free versions of every episode Bonus content Catch up on 9to5Mac Daily episodes! Share your thoughts! Drop us a line at happyhour@9to5mac.com. You can also rate us in Apple Podcasts or recommend us in Overcast to help more people discover the show.

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

Los sorprendentes resultados financieros de Apple desafían las expectativas. Comentamos cómo esta transición paulatina de vender hardware a ofrecer servicios digitales está cambiando la naturaleza misma de la compañía, así como su agresiva estrategia de recompra de acciones.Exploramos el revuelo generado por los rumores sobre la posible paralización del desarrollo de las próximas Apple Vision Pro, debatiendo si se trata de una reestructuración normal de los ingenieros hacia otras áreas de inteligencia artificial o de un replanteamiento total del visor frente a su limitada adopción.Por otro lado, explicamos los próximos movimientos de la empresa en el ámbito del hogar inteligente, una categoría que podría revitalizarse este otoño bajo la supervisión directiva de John Ternus. Detallamos las filtraciones sobre un futuro HomePod con pantalla y la posible incursión de Apple en el mercado de las cámaras de seguridad y videotimbres. Reflexionamos sobre los serios retos legales y de privacidad que esto supondría para la marca al entrar en un sector tan delicado, y cuestionamos si estos nuevos dispositivos lograrán encontrar su hueco real en un ecosistema donde el iPhone ya centraliza la inmensa mayoría de nuestras necesidades cotidianas.Finalmente, abordamos la extraña escasez de stock y los cambios en el catálogo base que están sufriendo algunos ordenadores como el Mac Mini y el MacBook Air, lo que sugiere futuras actualizaciones de chips y reajustes en la cadena de suministro.Para cerrar, compartimos y recomendamos un par de herramientas de software muy curiosas para el día a día en Mac: la sorpresiva aparición de una versión de código abierto del clásico editor Notepad++ y una utilidad gratuita para la barra de menú llamada "What Cable", diseñada para identificar fácilmente los protocolos, la potencia y las capacidades de transferencia de cualquier cable USB-C que conectemos al equipo. Apple reports second quarter results - Apple Potential Apple Vision Pro team dissolution isn't a death knell Apple Has Given Up on the Vision Pro After M5 Refresh Flop - MacRumors The Vision Products Group Expanding – Asymco Apple has ‘six major new product categories' coming, says Mark Gurman Tim Cook

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

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Apple beat Q2 estimates and forecast strong Q3 growth as the MacBook Neo and Mac Mini sell out. The Senate unanimously banned prediction market trading for senators, Intel closed its best month ever at +114%, and Musk admitted xAI "partly" distilled OpenAI models. Apple forecasts Q3 revenue above estimates, with sales expected to rise between 14% and 17%, and says memory expenses will climb "significantly higher" in Q3 (Bloomberg) Amazon debuts "Join the chat", an AI-powered feature that lets users ask questions about products and get conversational audio responses generated in real time (TechCrunch) The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading (CNBC) Musk v. Altman: when asked whether xAI has distilled OpenAI models, Elon Musk says the claim is "partly" true (Wired) Intel's stock jumped 114% in April, hitting a record on April 24 and lifting its market cap past $470B, closing out the chipmaker's best month on record (CNBC) Longreads Talkie-LM: what happens when you train a language model exclusively on text from before 1930? Can it predict the future or independently rediscover General Relativity? (Talkie-LM) Learn more about your ad choices. Visit megaphone.fm/adchoices

Apple said it will be supply-constrained on Mac Mini, Studio, and Neo in the next quarter, too. Plus, web hosts are scrambling to fix the bug under active attack by hackers. One company said hackers have been abusing the bug for months. Learn more about your ad choices. Visit podcastchoices.com/adchoices

What if you could train a frontier AI model without building a single data centre? In this episode of Eye on AI, Craig Smith sits down with Steffen Cruz, co-founder and CTO of Macrocosmos, to explore a radical alternative to the way AI models are built today. Instead of billion-dollar GPU warehouses, Steffen is training large language models using idle compute from devices distributed around the world, coordinated through the Bittensor blockchain. Steffen breaks down why the centralised data centre model is heading toward a wall. Projects like Stargate and Colossus cost tens of billions of dollars, and as appetite for larger models grows, the economics simply stop making sense. He explains how distributed training flips this on its head, tapping into surplus energy, underutilised GPUs, and even consumer devices like Mac Minis to train models at a fraction of the cost. We also get into IOTA, Macrocosmos's flagship technology, an orchestration layer that takes compute nodes scattered across the globe and makes them act like a single supercomputer. No single device runs the full model. Instead, each one carries a small slice, a technique called model parallelism, and together they can train frontier-scale models that would otherwise be out of reach for startups, researchers, and enterprises. Finally, Steffen shares what he's building toward: 70 billion parameter models trained at 10 to 20 percent of centralised costs, a two-sided marketplace for compute, and a future where anyone with a spare GPU or Mac Mini can earn passive income while contributing to the democratisation of AI. Subscribe for more conversations with the people building the future of AI and emerging technology.   Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI   Timestamp: (00:00) Introduction: The Problem With Blockchain AI Projects (06:39) Meet Steffen Cruz: From Subatomic Physics to Decentralised AI (09:16) What Is a Bittensor? The Blockchain Built for AI (11:53) How the Blockchain Actually Works: Registry, Clock, and Rewards (15:08) Why Data Centres Are Hitting a Wall (22:01) Distributed Training vs Federated Learning: What's the Difference? (27:47) Train at Home: Turning Your Mac Mini Into a Passive Income Machine (32:49) IOTA Explained: Building a Global Supercomputer From Spare Parts (39:43) How the Network Scales: From 256 Nodes to Limitless Compute (44:39) The Road Ahead: 70B Parameter Models and the Future of Affordable A

I sit down with Imran Muthuvappa to get a hands-on walkthrough of Hermes Agent, a personal AI agent that ships with built-in memory, 40+ tools, and pre-installed skills out of the box. Imran walks me through why he migrated from OpenClaw, how to install Hermes on a Mac or even an Android phone via Termux, and how he cut his token spend by roughly 90% using OpenRouter. We get into agent design (one agent vs. multiple), connecting Hermes to Telegram and Obsidian, and the kinds of prompts that turn a personal agent into a daily operating system. By the end, I have a practical roadmap to install Hermes, pick a model, and start automating real parts of my life and business Timestamps 00:00 – Intro 01:38 – Why Imran Left OpenClaw (Memory, Gateway, Tokens) 04:26 – Hermes Setup Tour and 40+ Built-In Tools 07:06 – Installing Hermes on Mac, Linux, and WSL 12:21 – Telegram and Android Agents 17:09 – Auditing Your Life With Your Agent 20:04 – Must-Know Hermes Tips: Updates, Tailscale, Telegram 21:07 – Should You Migrate From OpenClaw? 25:58 – Hermes + Obsidian as a Daily Dashboard 27:16 – Must-Use Prompts for a Personal Agent 31:29 – Must-Install Skills: Obsidian, Honcho Memory, G-Stack 33:04 – What G-Stack Is and Why It Matters 34:18 – Customization Is a Trap; Output Is the Skill 35:19 – Closing Thoughts Key Points Hermes Agent solves OpenClaw's three biggest pain points: built-in memory (writes to SQLite on successful tasks), gateway stability, and token visibility. Installation is a single command on Mac, Linux, or WSL, and Hermes ships with 40+ tools and popular skills (Apple Notes, Reminders, iMessage, Find My) pre-installed. Switching to Hermes with OpenRouter can cut token spend by roughly 90%, from about $130 per five days to around $10 per five days in Imran's case. You can run Hermes on a cheap Android phone via Termux + Termux API, unlocking SMS, sensors, and on-device social posting as a cheap alternative to a Mac Mini. The real skill is defaulting to your agent for work, then meta-prompting it nightly: "What am I procrastinating? What should I automate? What tool can you build me tonight?" Imran recommends pairing Hermes with Obsidian for a clean daily dashboard and installing G-Stack (a Y Combinator-style startup skill from Gary Tan) if you are building a product. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND IMRAN ON SOCIAL X/Twitter: https://x.com/imranye Alif: https://alif.build

Tom and Jeff dig into why it's getting harder and harder to buy a Mac mini or Mac Studio in anything beyond a base configuration — and what that might mean about upcoming M5 refreshes. Plus, Jeff gives a six-month health update (he's at 92% and back on stage), and the guys get into a friendly debate about Amazon pulling the plug on pre-2012 Kindles. Is it reasonable after 14 years, or does it prove physical books always win? And they wrap up with four things to know about iOS 26.4.Topics covered:Mac mini and Mac Studio availability issues and what's behind the long wait timesMacBook Neo demand and Bill McLean's hands-on reviewJeff's updated take on the BookTracker appAmazon deprecating pre-2012 Kindles — and what it means for your digital libraryThe Libby app and library cards for free booksMerriam-Webster's Visual Dictionary (Jeff's new obsession)iOS 26.4: keyboard accuracy improvements, Urgent Reminders update, Stolen Device Protection, and AI apps in CarPlayResetting your keyboard dictionary after updatingLinks from the show:BookTracker app: https://booktrack.appLibby app: https://libbyapp.comBill McLean's MacBook Neo reviewApple Talk newsletter (keyboard reset tip): https://www.tomfanderson.com/p/ios-26-4-iphone-keyboard-fixMerriam-Webster's Visual DictionaryWe'd be honored if you'd drop a 5-star rating for us on Apple Podcasts and/or Spotify!Question or Comment? Send us a Text Message!Contact UsDrop us a line at feedback@basicafshow.comYou'll find Jeff at @reyespoint on Threads and reyespoint.bsky.social on BlueskyFind Tom at @tomanderson on ThreadsJoin Tom's newsletter, Apple Talk, for more Apple coverage and tips & tricks.Tom has a new YouTube channelShow artwork by the great Randall Martin DesignEnjoy Basic AF? Leave a review or rating!Review on Apple PodcastsRate on SpotifyRecommend in OvercastIntro Music: Psychokinetics - The ChosenApple MusicSpotifyTranscripts and some images are AI generated and may contain errors and general silliness.

Apple's MacBook Neo is selling much better than the company thought, which has caused a delimena it must now work through. IT would seem from the rumors that the foldable iPhone is a thing, but what should Apple name such a product? The Apple Stores are not the experience they used to be and Apple is closing a few of the retail stores. Brought to you by: CleanMyMac: Get Tidy Today! Try 7 days free and use my code DALRYMPLE for 20% off at clnmy.com/DALRYMPLE Show Notes: Future Sonics Ear Monitors Apple's massive MacBook Neo dilemma New MacBook Neo With A19 Pro Chip and 12GB RAM Expected Next Year Mark Gurman on Apple's foldable iPhone Three year Samsung agreement Is it iPhone Fold? Steve Jobs created the Apple Store. How Tim Cook changed it Mac Mini and Mac Studio Facing Extreme Shipping Delays Shows and movies we're watching Detective Hole, Netflix Untamed, Netflix

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 manager 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

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co ---- Apple may have stumbled into one of the most defensible positions in AI. This was not on my radar – just two months ago, I was describing a credibility crisis at the company; they appeared wrong-footed on the most important technology of our times and an acquisition was their only plausible way out.  In this episode I work through what I and many other commentators missed – and what road lies ahead for Apple. I cover: (01:16) Why I was wrong about Apple (02:40) What's behind the Mac Mini shortage (04:07) China goes OpenClaw crazy (06:28) Perplexity builds on a Mac Mini (07:12) The edge case for Apple (09:05) Apple Moat 1: hardware (11:31) Apple Moat 2: privacy (15:47) The K problem: when good enough beats genius (18:08) Privacy, sovereignty & the diary problem Read my old position on Apple at Substack: https://www.exponentialview.co/p/ev-515 For a practical guide  my OpenClaw stack, click here: https://www.youtube.com/watch?v=aCG3dFRF3ek ---- Where to find me: Exponential View newsletter: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azeem/ Twitter/X: https://x.com/azeem Production by EPIIPLUS1.  Production and research: Baba Films, Chantal Smith, Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.