Podcasts about Mac Mini

This episode kicks off with WinUI's shift to open‑source‑first—what the GitHub‑centric workflow means for Windows devs—and James and Frank's hands‑on tales modernizing apps, CI/CD, and the surprisingly smooth Microsoft Store pipeline. They then deep‑dive into Apple: M6 Mac mini and Mac Studio upgrades for local AI, Rosetta's sunset and Intel‑Mac worries, foldable iPhone rumors, and possible Apple TV Thread/HDMI features—practical insights for choosing platforms and tooling. Note: We had issues with local recordings, so this is a cloud backup processed with Adobe Podcasts Follow Us Frank: Twitter, Blog, GitHub James: Twitter, Blog, GitHub Merge Conflict: Twitter, Facebook, Website, Chat on Discord Music : Amethyst Seer - Citrine by Adventureface ⭐⭐ Review Us ⭐⭐ Machine transcription available on http://mergeconflict.fm

Tune into episode 494 of the Mobile Tech Podcast with guest Marc Saltzman of Tech It Out -- brought to you by Mint Mobile. In this week's show, we review Dell's ultra thin and light XPS 13 laptop TCL's Tab 8 NXTPaper 5G tablet , and Hypershell's X Ultra S exoskeleton. We then discuss Samsung's new Galaxy S26 FE plus Apple's Mac mini M6 and M5 Pro and Mac Studio M5 Max and M5 Ultra. Finally, we cover rumors, leaks, and news from Samsung, Apple, Qualcomm, and Gamescom.Episode Links- Support the podcast on Patreon: https://www.patreon.com/tnkgrl- Donate / buy me a coffee (PayPal): https://tnkgrl.com/tnkgrl/- Support the podcast with Mint Mobile: https://mintmobile.com/mobiletech- Marc Saltzman: https://www.threads.com/@marcsaltzman- Mark's Dell XPS 13 review: https://www.reviewed.com/laptops/content/dell-xps-13-dx13260-review- Samsung Galaxy S26 FE: https://www.theverge.com/report/985187/samsung-galaxy-s26-fe-hands-on-preview-specs-features-design- Samsung Galaxy S17 Ultra renders leak: https://www.gsmarena.com/take_a_look_at_the_samsung_galaxy_s27_ultra_in_some_fresh_highquality_cad_renders-news-74333.php- Apple iPhone event is Sep 9: https://www.gsmarena.com/apple_schedules_iphone_event_for_september_9-news-74357.php- Apple Mac mini M6 (2nm) and M5 Pro plus Mac Studio M5 Max and M5 Ultra: https://www.gsmarena.com/apple_announces_new_mac_mini_and_mac_studio_with_m6_and_m5_chips-news-74335.php- Qualcomm Snapdragon 8 Elite Gen 6 and Gen 6 Pro to reach 5GHz: https://www.gsmarena.com/qualcomm_confirms_that_its_next_snapdragon_flagship_platform_will_reach_5ghz-news-74343.php- Mark's Gamescom / Stage Tour coverage: https://ca.news.yahoo.com/saltzman-play-gamescom-2026-154307087.html- TCL Tab 8 NXTPaper 5G review: https://www.pcmag.com/reviews/tcl-tab-8-nxtpaper-5g- Hypershell X Ultra S review: https://www.wired.com/review/hypershell-x-ultra-s/Affiliate Links (If you use these links to buy something, we might earn a commission)- Dell XPS 13 2026: https://amzn.to/4zSOvjg- Samsung Galaxy S26: https://amzn.to/4xqbws1- Apple Mac mini M6: https://amzn.to/45XFyaA- Apple MacBook Neo: https://amzn.to/45Z2JRP- TCL NXTPaper 11 Plus: https://amzn.to/4xwpPvh

Apple anunció por sorpresa un Mac mini con chip M6, el primero fabricado a 2 nanómetros, pero ahora arranca en 900 dólares: casi el doble que hace unos meses. También llegó el Mac Studio con M5 Ultra y hasta 512 GB de RAM para correr IA local, OpenAI le cortó el acceso a Cursor tras su compra por el grupo de Elon Musk, Nvidia va por Hugging Face, y comparamos monitores 5K frente al Studio Display XDR.

Apple's latest launches, folding iPhone rumours, new Mac Mini and Mac Studio specs, and Meta's $18B teen safety settlement — Steven Scott, Shaun Preece, and tech journalist Will Guyatt break down what it all really means. This episode dives into Apple's busy product week, starting with the launch of new Macs and the official date for the “Surprise and Shine” September event. Steven and Shaun explore the rumours of a folding iPhone, the real-world appeal of foldable devices, and updates to the Apple Watch, Apple TV, and HomePod. They break down the new M6 Mac Mini and M5 Pro models, neural engine upgrades for local AI performance, memory options, and steep pricing differences in Canada versus the US. The conversation shifts to one of the biggest tech legal stories of the year: Meta's $16–18 billion settlement over claims Facebook and Instagram are addictive to children. Will Guyatt explains why Meta settled, what product changes will be enforced for teens, and why the company still admits no wrongdoing. From two-hour time limits to disabling autoplay for under-16s, the team evaluates whether these changes will genuinely protect young users or simply delay deeper regulation. ----Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedinSubscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheartAbout Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited."Double Tap" is a registered trademark of Double Tap Productions Inc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week on Thinking Out Loud with Friends meeting was an informal discussion among audio professionals covering a wide range of topics. Jan, Fred, Chris, Wayne, Ken, and others talked about their current setups, including Mac vs PC, camera and lighting issues, and various audio interfaces and plugins like Waves, Cedar, and D-Feedback. They discussed the pros and cons of different audio consoles, with Ken Porter sharing his experience with DiGiCo, SSL, Yamaha, and other brands, and mentioning the demand for certain models. The group also shared personal updates, travel plans, and stories about industry figures like Dolly Parton, Larry Italia, and Tim Curry. They touched on recent news events, including natural disasters and an airport accident. The conversation was casual, with frequent digressions into personal anecdotes and technical details.The group discussed various audio processing solutions, with Ken mentioning a new Cedar plugin called Voxis for AI voice suppression at $269, which he found effective. Wayne considered purchasing a Mac Mini for Waves Control and discussed running it with SuperRack Performer in USB configurations alongside an analog setup. The discussion included concerns about signal chain complexity, with Ken admitting his setup had become overly complicated and emphasizing the importance of testing bypass functionality when adding new plugins. Jan asked about potential issues with overcomplicating signal chains, to which Wayne responded that corporate work often requires multiple outputs with minimal plugins on each insert, typically just compressors like SSL waves.Join Jan Landy and his knowledgeable, affable panel of friends and colleagues for a no-filter discussion on life.  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. -

In this episode, Cathy and Lee discuss the latest developments in tech, including Meta's settlement, new Apple hardware, AI market potential, and health tech innovations like regrowing teeth. They explore the implications of these advancements and what they mean for the future of technology and society.keywords: tech news, Meta settlement, Apple hardware, AI market, health tech, regrowing teeth, AI bubble, Linux, AI investmentskey topicsMeta's settlement and its implications for social media and privacyNew Apple hardware releases and their market impactThe potential revenue and market share of AI companies like AnthropicInnovations in health tech, including regrowing teeth and robot-assisted blood drawsThe sustainability of the AI market bubble and investment risksThe significance of Linux's 35-year history in modern technologyThe influence of AI on employment, economy, and societyThe race of AI companies towards IPO and market dominancetakeawaysMeta's settlement of 17 billion dollars is significant but not crippling for the company.Apple's recent hardware releases show a trend towards high prices and powerful specs, especially in the Mac Mini line.AI companies like Anthropic project enormous potential revenues, but market share assumptions are overly optimistic.Health tech innovations such as regrowing teeth could revolutionize dentistry and reduce costs.The AI market bubble may be unsustainable, with many companies overestimating their market share and revenue.Linux's 35-year history demonstrates its foundational role in modern computing and the internet.Investors should be cautious about AI IPOs, as the projected market sizes are often unrealistic.Sound Bites"Seventeen billion dollars is a lot of money, but not for Meta.""Apple's new Mac Minis are tiny but expensive.""Regrowing teeth could change dentistry forever."Chapters00:00Introduction and Cathy back on the road01:36Meta Settles for 17 Billion Dollars03:37Apple's Hardware Launches and Price Drops07:37Apple's Polishing Cloth Price Drop09:19Google Pixel Eleven Pro Review11:12Global Listeners and Appreciation11:44Robot Drawing Blood and Medical Tech16:27Regrowing Teeth: The Future of Dentistry20:07AI Market Potential and Investment Risks28:02Linux Turns 35: Its Impact and Future

This week Apple announced a Mac Mini made for AI and a Mac Studio made for AI, both with faster M6 and M5 Pro chips made for AI. But that's all an amuse-bouche to Sept. 9's (expected) main course: the long-awaited folding iPhone. Nilay Patel, Jake Kastrenakes, and David Imel run through all of this week's Apple news, including the most important story: a surprise discount on the legendary polishing cloth.Then, they react to Meta's settlement in its latest kids safety trial, geek out about Grand Theft Auto VI with the Hype Desk's Ashley Esqueda, check out the Pokémon Fitbit, and decide if Nvidia just saved the global economy. Further reading: ⁠File a comment with the FCC⁠ ⁠Apple announces September iPhone launch event⁠ ⁠Apple's new M6 chip gets more cores and more AI compute⁠ ⁠Apple launches new Mac Studios with its ‘most powerful chip ever' — the M5 Ultra⁠ ⁠Apple's new Mac Mini has fresh M6 and M5 Pro chip offerings — and higher prices⁠ ⁠Apple's ‘new' polishing cloth is the same except $10 cheaper⁠ ⁠Meta agrees to heavy restrictions on teen users in major lawsuit settlement⁠ ⁠Meta is planning an ad blitz urging TikTok and YouTube to follow its lead.⁠ ⁠All the ways Instagram and Facebook are changing for teens⁠ ⁠Rockstar finally responds to ‘heartbreaking' GTA 6 leaks⁠ ⁠Fierce Network: FCC opens comments on E-Rate as the program gets attacked in court⁠ ⁠Nvidia is about to be a hundred-billion-dollar-a-quarter company⁠ ⁠Panic is passing Playdate tariff refunds on to customers.⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. 0:00 Welcome to the Vergecast01:26 Apple Mac AI Hype02:26 Mac Mini Agent Craze06:32 Mac Studio vs Nvidia11:43 Price Hikes and Cloth17:01 iPhone Event Invite17:38 iPhone Fold Debate21:30 Camera Crash Out26:57 Meta Settlement Breakdown28:59 First Amendment Fallout36:59 Age Verification Push39:30 Filter Rules and Loopholes44:11 Will Teens Just Switch Apps45:20 Reels Versus Shorts46:35 Government Next Steps47:39 Break And Reset47:50 GTA VI Showcase54:29 Leaks And Spoilers57:12 Can GTA Save Games01:00:51 GTA Online Money01:02:04 Brendan Carr is a Dummy01:03:45 E Rate Fight01:08:46 Nvidia Earnings Hype01:17:50 Pokemon Sleep Fitbit01:22:41 Waymo Versus Tesla01:28:34 Decoder And Goodbye Learn more about your ad choices. Visit podcastchoices.com/adchoices

- Evercore Turned-On by Mac mini Updates - Mac mini Likely Means Big blankOS Release by 22 September - Device Indexing in a Smarter Siri World - What's Expected from Apple's "Surprise" Event - Senator Scolds Apple for Something It Apparently Didn't Do - Apple Education Center Planned for Vietnam - Second Season of "Dark Matter" Starts on Apple TV - Cook, Ternus Host Pikachu at Apple Park - Sponsored by CleanMyMac: Use code MACOSKEN20 for 20% off at clnmy.com/MACOSKEN - Catch Ken on Mastodon - @macosken@mastodon.social - Send Ken an email: info@macosken.com - Chat with us on Patreon for as little as $1 a month. Support the show at Patreon.com/macosken

Dave Goyal, Founder and CEO of Think AI Corporation, is driven to Turn Disabilities into Unique Abilities by using technology to empower disabled entrepreneurs and help businesses unlock the value of their data. After contracting polio as an infant, Dave transformed physical limitations and early adversity into a passion for solving business problems, building companies, and giving back to society. Through Think AI, he helps manufacturing and healthcare leaders use data and AI to generate real-time insights, improve productivity, reduce costs, and create new opportunities for growth. In this conversation, Dave introduces The 3G AI Augmentation Framework—Gap: Where are we losing time, quality, ability, or capacity? Grow: Apply AI to augment people and improve that work. Glow: Institutionalize the solution so humans and AI collaborate effectively. Dave also shares how his private second brain and AI executive agents save him up to 80 hours per month, why human control and security must remain central to AI adoption, and how authority, trust, people, customers, and culture drive business growth. He also discusses his book, Real-Time Business Intelligence Mastery, and his vision for creating a venture studio for disabled entrepreneurs. — Turn Disabilities into Unique Abilities with Dave Goyal  Good day. Steve Preda here with The Management Blueprint. And today my guest is Dave Goyal, the founder and CEO of Think AI Corporation, which helps CTOs and CIOs in manufacturing and healthcare turn siloed data into real-time insights and automation, creating reduced downtime, increased efficiency, and going from weeks to days in project launches. Dave, welcome to the show.  Thank you for having me, Steve.  Well, I’m really curious to learn about you and your company, Think AI Corporation, but first I’d like to ask you about your personal why and how you are manifesting it in your business.  So thank you again, Steve. I’m really excited to be on your show. I’m in the data and AI business, and really tech innovation, for the last 30 years. In this particular company, Think AI, I have a partner, Manish Bhardia, and we both have been working very actively with Microsoft partners, the Microsoft ecosystem, and implementing data and AI solutions for midsize companies and manufacturing companies. You went on why, which is amazing.  My why: I’m a disabled entrepreneur. I have this hunger for building businesses. I’ve built nine businesses. We can talk about it later. And five of them were miserable failures in my books. Not all of them were that miserable, as I say. But five of them were failures, and I learned a lot from them. And I’m really motivated now to expand it further, to give back to small businesses.  We’ve been working with midsize and enterprise clients, but to midsize companies, and then motivate—I have a 15-year-old kid—so motivate young people and also small businesses to make use of the power of their own data and use and consume AI on a day-to-day basis. That’s my why.  Wow. So, to learn the power of their own data and use AI, why is this important to you?  The main reason is I am passionate about technology. Everybody is good at something. I am really good at solving business problems using technology. Being a disabled entrepreneur, I did not have a lot of luxury initially, even walking. Eventually, I started using braces, started going to different countries. So the passion became really the source of energy and motivation, and that passion is now going to a level where I want to motivate people like me who are disabled entrepreneurs and want to go into this kind of business. So my real passion is technology and giving back to society using technology, to sum it up.  Wow. So you mentioned this disabled entrepreneur. I’ve never heard this term. I mean, you talk about minority entrepreneurs, women entrepreneurs, you know, veteran entrepreneurs, and actually the government recognizes these categories, but I never heard about disabled entrepreneurs. So would you mind sharing a little bit about what happened to you and how you got into this entrepreneurship?  Sure, yeah. And that’s really good, by the way. I don’t see anybody else using that term but me, so probably I should keep it with me as a copyright term. Just joking on it. But having said that, every disability brings some kind of ability. That’s why sometimes they call it differently abled. When you have these abilities, you don’t know the source or the channels to use them. So, for example, blind people, they may have a lot of great listening power. That’s why they are into music most of the time.  Sometimes they have amazing reasoning and critical-thinking power, but they don’t know how to channel it, so they fight on a day-to-day basis with these issues. Bringing it back to me, I have polio. When I was six months old, I got hit by the polio virus. Initially, for a few years, I had to just lie down on the bed, had a lot of physical therapy. Then I was able to get up and sit, at least. Then my father was carrying me to school, and I could see the kids were going out and playing. I got beaten up because of that, too, because kids don’t understand. No fault of theirs that I’m not throwing the ball at them and they are playing.  And so that brought a lot of negativity in me. Eventually, my grandfather and my father helped me get over that, and I started channeling that into building businesses. So I started teaching music. I learned music through some of my friends. I started teaching music during my college days and started making money. And I had a blind friend, and he needed money because he was abandoned by his parents, so I had to help him out. I started making some money. I was doing well with my family, so I could just pay everything back to him. So that seed got planted there, and I didn’t know what to do back then, right?  Still a 14-, 15-year-old kid or a teenager, in this case. So I started getting into that mindset of, how about I build businesses for me and then start helping out the community? I’m still not there yet. I’m going towards helping that community. But I want to identify disability in three ways, not just physical. So those three are physical, but the bigger one is mental. A lot of people are really mentally blocked, and you see people, you know, “Oh, I can’t change anything in my life.” People die by suic*de. Kids get into depression. This is a form of disability, by all means.  I don’t think education, parents, and community are doing so much about that other than having a cliché thing that, “I was a victim of depression, so I’m doing that,” just to show off. But really, to help out the community in a methodical manner, that doesn’t exist. Second, physical disability, like I said, given by God sometimes, like war veterans and others, then you feel really limited. So what to do with that? And I come into that category, so I know that really well. Third is financial disability. So a lot of financial disability is in the mind, too. I’ve heard a phrase called, “You don’t die by hunger; you really die by indigestion.”  So you would find ways and means to make money even if you’re a completely disabled person. So I don’t think finance is an issue in general. So these three areas, to me, are the real disability areas. I’m obviously only working on one today, which is physical disability: how to identify the potential of people who can create something different within that limitation and then make a change in the world. So that’s the motivation. That’s my Life 2.0, where I’m moving now. Love it. Love it. So how did you have time to build nine businesses?  I started it in 1993, ’94, I believe, or ’95, I think. And they’re one at a time. Today I have about three. I sold one. And yeah, I did not have time. One of the big challenges when I built these three in the last six, seven, eight years, the biggest challenge I faced is I do not have time for working with customers, which I love to do—talking and listening to their business problems, solving those problems. I end up doing a lot of operational work.  Post-2020, and it’s a very blunt thing to say, people got lazy. They want to change jobs, make more money, do moonlighting, do multiple things, but not work hard like we did back in the days. And that kind of pushed all of us small businesses to do a lot more management of resources, especially human resources, in a distributed environment. I have teams in India, the Philippines, Canada. So that became a bigger challenge. But having said that, AI came as a savior. In the last 18 months, AI has changed quite a lot.  And if you don’t go into a debate of whether AI is good or bad, or you’re a skeptic or an enthusiast, AI can really help you if you really put together how it can help you. It should not replace you, but it should give you an additional helping arm. In my business, I started deploying C-suite. So I still have a VP of operations. My business partner is into sales. But then I started filling in other functions, like a fractional CFO, as an example. My fractional CFO is monitoring my top line and bottom line. I call him Felix. I have to give names to AI agents.  So Felix is actually looking on a weekly basis at what invoices are billed, if we have vendors or employees, what we need to pay, where our expenses are going, what’s the monthly or maybe six-month cash flow run. Are we within limits? Do we have borderline cash availability so that we can survive? So it started to do a lot of things. But not only that, because we are feeding our own data, our own mind, I have built my own second brain. It started to read off of that and started giving me insights that a human would not give me. And even if I hire a fractional CFO, he will only hear what I have to say, look into some of my books, and then give me some blanket suggestions.  Here, this is really tailor-made to our problems, our situation, and it worked phenomenally well. So I’m building that as a product now. It’s not done yet. Then I also deployed my own CMO called Sasha, and she started to look into my marketing angles, my branding, my voice, my identity. I love writing, but now AI can help me—not just create a blanket AI post or something, but really read how I write, what I write. So I create ideas. It helps me research, does a factual check on it. So I give 100 words. It can take those ideas and then expand into newsletter articles or a big campaign.  I can start building different case studies for our customers, proof of concept, building podcasts such as these. So this started freeing up—I only talked about two executives, and I have seven of them—but they started to help me free up my time. And believe it or not, I am getting about 40 to 60 hours, and in good months, about 80 hours per month. So 30 to 50% of my regular time is freed up. So that time is now going into this movement that I’m thinking about, which is disabled entrepreneurship.  Wow, that is impressive. So tell me a little bit about this. This is a podcast of frameworks. So do you have a framework for maybe launching an AI agent like that?  I definitely do, and I want you to expand on it. But in terms of what I have, I look into three things. Where is the gap in terms of human? Where I see either performance issues, quality issues, or availability and capacity issues. So what are those things which don’t hit my security side of things, don’t interact with my customer, and still help me in my operations? That’s the gap we look into. How can we use and fill that gap to grow what we need to work on? And then last, so I use three Gs with my last name, Goyal, right? So Gap to Grow to Glow.  So now how can we use this in our business to glow and create an environment where even humans can interact with this AI persona? So we are always big on human-in-the-loop or human-in-control with any AI solution. So it always starts with the gap. Where is the gap? Where is it taking time from one of the human sides of our team?  I like that. I like that you isolated those things which are less risky to develop, because I think a lot of people are held back by this idea that it’s a black box, you don’t know what you’re getting into, you don’t know what you don’t know, and it’s risky, and then they don’t do anything.  But you actually isolated that customer interaction is a risk you don’t want to live with right now, and security is another one you don’t want to, which, I mean, it’s obvious. But if those are not hurt, then really what is the risk you’re running? So I like it. So how do you fire up an AI agent like that?  So in terms of technology, I’m using a few things. I’m using Claude Code, the full Claude environment. So we build it off of that. Back in my days, I worked as a white-hat hacker, so the security angle we mentioned, I’m always so worried about hacking and security. So I have a completely isolated environment at my home on a Mac Mini, a really powerful Mac Mini, and that cannot go out on the internet and do things. And nobody can inject anything.  But then I still need to feed information to it, so I have another machine where the only job of that machine is to provide information to this system. So I have my own second brain mapped into Obsidian, which is a note-taking application, but it’s really organized. So I first fed all my knowledge. I’ve recorded lots and lots of audios and documents, and it has learned. So I built that system first, like Dave’s second brain. And my second brain has learned everything about me. Nobody can see it but me. That’s my initial basis, right?  After that, I built a working memory for my agents, for my company, and I’m doing it for one company at a time. Think AI is not completely live on the system, but Data & AI Studio is, which is a solo entrepreneurship business that I have. It is learning everything about that business as we speak. Even the transcripts from these podcasts and other places go into it, and it learns from it. There will be some insights which it will find, so it retains them. So Claude Code, Mac Mini, Obsidian—these are the basis. And then I’ve deployed my own personal models, like DeepSeek, and that is sitting locally on that machine.  So the model is local. The downside is it’s not getting updated, so I only update it when I feel that it’s right. Not risk, it’s really the downside. There’s no risk in it. So you’re not on the latest and greatest, but you don’t have to be on the latest and greatest all the time. So Claude Code is on the latest and greatest, but when we deploy, it may not apply certain features that Claude Code is making available. And that’s fine. That’s the risk I’m taking. That’s the trade-off I’m taking. And the system is working great for the last six months.  In the last 18 months, even though I started AI about 28, 30 years ago, the last 18 months is when I learned the new-age AI, and the last six months is when I started building this in an iterative manner. And it is pretty stable now. It can do a lot of things like I mentioned. So your agents are running on your Mac Mini off the grid?  Yes.  And then you’re feeding information with another computer to it to essentially give them the raw material from which they can build stuff, right?  Right. A good example there, if I may expand: we use QuickBooks in our accounting system. It cannot read QuickBooks directly, but we, being a Microsoft partner, understand technology. I can write a job which can push data into the Mac Mini. It doesn’t read off of it. My Mac Mini, which has the agent, doesn’t know where that data has come from. It has the data, so it’s already synthesized.  It cannot communicate with others. So that’s the calculated risk we take, right? Getting the data from one angle, one way, and then it’s synthesizing and analyzing data and getting insights out of it. So that’s the balance of systems that I have.  I love it. That’s very clever. And what is your main business anyway? Because you talk about three businesses right now. What is your core business? What is your flagship business?  The flagship business is Think AI. It’s a consulting organization, a three-time Inc. 5000 winner in terms of growth. We have our own team, but then we also use a lot of vendors which are qualified by us throughout the world. And we are Microsoft Advanced Specialization partners. What that means is we are in the top 2% of the worldwide partners within the Microsoft ecosystem, which is about 500,000 partners. And we work mainly with midsize manufacturers, and sometimes healthcare if they are okay and open to AI, and if not, data. So we go in there, look into whether they have a data and AI strategy.  If they do, we work on their initiatives. If they have the initiatives. If not, we create the initiatives for them by doing some POCs and whatnot. And once we get engaged, we do deliverables like consulting services. But it’s not like typical consulting services where you place a resource. It’s really a value-based delivery model where we try to understand two business imperatives. One is what can help them make more revenue. And if we cannot find that, what can help them be more productive and have cost-cutting in one way or the other.  So these are the two main business imperatives we work on. When and if we align with that, then we give them a roadmap, a phase-wise approach, which they can do with us or with somebody else, and then we keep delivering on it. So that’s the whole model.  So what drives growth in the Think AI business?  I mean, finding more customers, to say the least. And that becomes difficult because today everything is becoming a commodity. So one good learning, by the way, I need to share with the audience here. When you’re a small business, you think your brand is the value that you have. It’s the founders who are the brand. So it’s Manish and me. Manish, my business partner, is really big in productivity, project management, and that kind of thing. And I’m really good at building solutions using tech. And together we have about 55 years of experience.  And then our key team members are ex-Microsoft or MVPs, Microsoft Most Valuable Professionals. So we hire a really strong key team. And the team below, we can either fill with our members, hire our own members, or go to the vendors also, and we tell it to our clients also. So our delivery model is we are the ones who are delivering. The guarantee is taken by Manish and Dave, not by Think AI. We have gotten into that situation. We are about 95% successful, so there’s a 5% failure. And the failure is either because we have the wrong team member, the communication between the client and us was not clear, the scope was not clear, the definition of value and done was not clear, and we have learned from it.  So our business model is towards that, and that brings us growth because we work with a number of partners. Manish is part of a lot of Microsoft channel partner networks. We provide complementary services to those partners. So one channel is we work with a lot of partners because the trust is there. Authority and trust are the two factors we have understood which establish your business, and it’s the founders’ authority and trust, not the company. Company will build on its own. So we started building our own authority and trust, and that gets us growth. It’s not at the level we’d like, but we are happy.  You are happy. Okay. So what is your vision? What would you like to make out of this?  So we have an exit plan, at least on Think AI. And like I told you, Manish has his own. That is up to him. For me, I want to create this venture studio for disabled entrepreneurs, get the funds from here, and then harvest, go across the world. So three hobbies I have.  One is travel. Second is reading, writing stuff, books. And third is music. And entrepreneurship comes in this whole surroundings, in this whole ring, so it’s the foundation of it. So we’re going to build this disabled entrepreneurship venture studio with a little bit of funds from our exit, and hope to grow there and hope to retire or die with that thinking.  Love it. Love it. It’s fascinating. So you have a book that is on your LinkedIn page, Real-Time Business Intelligence Mastery. So tell me about this book. Why did you write it, and what’s it about?  Sure. So we went into a coaching program. Up until 2022, we were arrogant enough to say, “Oh yeah, we can do everything on our own.” And then slowly we realized we need help, and we started taking help. We went to a couple of coaches in India where they were coaching us either on how to manage operations and operational excellence, and then another coach who’s like a life/building-your-brand marketing coach, and he inspired us to write a book.  Now, I’ve been writing in my own native Hindi language, songs and compositions, but writing a book was a dream, and I thought it’s a big undertaking. But with their little bit of motivation and help, not in writing, but in the angle of what a book can bring. So I have a lot of experience working in midsize manufacturing organizations, working with CTOs and CIOs, and business intelligence is delayed. So it’s either a one-day delay or a week delay or a month delay, and it’s more reactive in nature.  So the book was more about how you can build a real-time business intelligence culture so that you can get the insights from your data, make actionable insights, take actions on it, and grow your business for those two imperatives I talked about, which is grow your revenue or increase your productivity and decrease your cost.  So are you writing about some of the things that you talked about? Leveraging AI, building AI agents?  It has more about—so I wrote it in 2022, I believe. It has a lot more detail about. AI was not as popular, right? I mean, I did write about AI in it, but it was more about building a data culture than AI. It does talk briefly about AI because real-time is going very closely with AI. That’s the enabler for AI insights or data insights through AI. So it does talk a little bit about AI, but it talks more about tech leaders like CIOs and CTOs. What do they need to do? How do they need to build a culture around harvesting data, bring the data, build the team, where to take it? So it has those details.  Okay. That’s fascinating. Who is this book for? Is it for founders? Is it for C-level executives? Who is the target?  Like I said, it’s for tech leaders, CIOs, and CTOs of midsize organizations.  Okay. That’s awesome. And these are the people that are your target customers as well at Think AI?  Yes. That’s our true ideal client profile too, and that’s whom we have worked with all our lives. So they’re close friends, target audience, and customers. Future customers and current customers.  All in one. All in one. That’s so nice when you write a book to your friends. That’s a very cool concept. So let me ask you this, Dave. If you had a magic wand, you’ve done a lot of things in your business, you built nine businesses. You learned from some of the failures that you had, which is part of entrepreneurship, and now you created AI agents, and then you have a second brain, and you’re leveraging all that technology. So if you had a magic wand and you could fix one thing in your business in the next 12 months, what would that be?  I wish I had more senior leadership. Any business works with delegation. We have a couple who are really amazing, and they wear a lot of hats. But growth depends on three things, right? Being in front of the right customer, having the right team, and having the right product. Our product is people, unfortunately and fortunately. Customers, we are very happy and excited, and they trust us. We know how to get to them. We know how to create value for them. We are very satisfied. Everybody would say, “I need more customers,” and we would do that too.  But I think more important is what product you are offering. So then people are what we are offering, and we are competing against big ones like Accenture and Avanade and Cognizant of the world in our business, the tech consulting business. But then we are not competing against cost; we are competing against value. So how do you create value? You find a valuable customer. They understand our language. The next level is, where is the product, which is the people? And that management becomes quite difficult. And harvesting and getting the right people in place is a job by itself.  So kudos to those large companies if they’re harvesting one, although that’s debatable because when we go to the client, they complain a lot about their resources as well. So harvesting the right product and the right team is the key. And how do you do that? If you have the right leaders on top. Two partners alone cannot do that. So building more leaders underneath is the key. We are able to build a few, and I wish we could build a lot more. So when you have the right core team, your growth comes in, is my belief system. It could be different for everyone else.  No, I think it’s a very deep insight, and very few people actually talk about this idea that the purpose of a business, especially in today’s AI age, is to build leaders. That’s your purpose, because people will take care of everything. They’re going to run your AI agents. They’re going to manifest your vision. But you can’t have just AI agents in a company, right?  Because then the mental load is so much on the leader, and then the single-person dependency becomes critical. So is this what you mean by this? Where do you come from with this idea of harvesting people and leaders in the business?  Absolutely. You said it well. Building leaders doesn’t just apply to an organization, whether small, medium, or big, but even to countries. If you don’t have the right leaders in place, it’s going to bite you back. And all cultures, some of the top management consultants will teach you to go into succession planning. That is what they really mean by that.  It’s not succession planning by, okay, replace a CEO with a CEO. It’s the mindset. Apple is a great example of it. Steve Jobs hired Tim Cook from Compaq, from that world, and he had that vision. Obviously, he had a mission, but he had the vision—who to take, where to take, and what they would do. And that legacy continues even today. So Apple didn’t change a single bit in their model. And people would argue and debate, and that’s fine.  But when I see it from my eye, he built a great leader. When he did that, the company stayed the same, right? So it’s not about what products Apple is creating today, whether it’s iPhone or iPad or Apple Vision Pro or some of the other things that they are doing, but it’s really that leader. Same thing went with Google, or Microsoft, Satya Nadella. And you see the right leaders were built by these founders. And by any means, we are not that big, and hopefully we can get to some place which is pretty good in our books.  But finding and building the right people, it gives you a lot of satisfaction, happiness, bliss, if you can give it back to somebody who’s capable enough. And I’m always in hunt of the right people, building the right team in place.  It’s so interesting you mention Apple because when Isaacson came out with the Steve Jobs biography, he said, basically, I think it’s in the preamble of the book, that Steve Jobs wanted people to remember him not for the products that he created, but the company. So his biggest contribution was creating a company. And I didn’t get what he meant by it.  But if you witness the last—since he died 13 years ago—the last 13 years, this company has gone from strength to strength. Ninety percent of its market capitalization has been created since he died, right? So it keeps growing and keeps going from strength to strength, and that is the culture and the people that he built. This is the company he built. So it’s quite an amazing idea.  I was about to comment on company. Something came back to me or reminded me that companies generally build on three pillars: customer, people, and culture. And if you don’t have the right balance of it—so, the right people, but if you don’t have the right culture, they’re going to run away. If you don’t have the right customers, you should have the ability to say no to certain types of customers too. Like Apple never targeted small, cheap products.  And when I say cheap, meaning which doesn’t have the right quality in place, not about the cost. It’s always cost versus quality. So they have really struck the right balance in those three angles, and I think that’s the right way to do it. Some are able to do it, some are able to push through to do it, and some are not. But that’s where I think the focus needs to be if you are a founder. Find that right balance of people, client or customer, and culture.  Yeah.  And that is your core values too.  Yeah. I agree with you. That’s wonderful. If you are listening to this conversation with Dave Goyal, and you would like to learn more about him and what he does and Think AI Corporation, where should our listeners go to learn more?  Thank you for this opportunity, first of all. And people can find me on LinkedIn by my name, Dave Goyal. I’m very active there. I recently started a YouTube channel with the name Dave Goyal, so you can find me on YouTube. And mainly on LinkedIn, I have a newsletter on AI, and I’m pretty passionate about what’s happening in AI.  So I even publish AI news this week, but with a different angle, a builder’s angle in mind. And last but not least, you can connect with me through LinkedIn for a 15-, 30-minute call. No angle there. I will just come and help you if you really want to do something with AI. I can listen to your challenges or your fear of missing out, if that’s the case, and tell you if AI is the right fit for you or not, and what you can do on your own also. And if you need our help, we are happy to.  That’s fantastic. So take Dave up on his offer, which I think is very generous. And obviously, Dave, you know what you’re talking about. You built a second brain. You’re running AI agents. Your C-suite is chock-full of AI agents, which is very impressive. I’d love to learn more about this myself.  So if you’re curious about that, make sure you book a call with Dave or check out his stuff. Where is your newsletter? Is it a Substack? Where can people find your newsletter?  It’s on LinkedIn. It’s called Data & AI Demystified in my profile.  Okay. So that’s easy. So we can go to Dave’s LinkedIn profile. And if you enjoyed this conversation, make sure you subscribe and follow us on Apple Podcasts and YouTube. Give us a review because every week I bring in a couple of exciting entrepreneurs like Dave who share their favorite frameworks with you. So Dave, thanks for coming, and thank you for listening. Important Links: Dave's LinkedIn Dave's website

iPhone invites are out, Vision Pro (and the team) put on ice, and Target blows it (again)...The Lowdown Apple sends out invites for its annual fall iPhone event Apple refreshes the Mac Mini and Mac Studio with new AI-ready chips Apple reportedly scales back Vision team2nd String If your Uber or Lyft driver goes hands-free, should they ask your permission?For The Culture Target apologizes for children's clown Halloween costume after backlashThe Hookup Generate a virtual card number to use Apple Cash where Apple Pay isn't available

W 603. odcinku Wojtek, Michał i Thomas zaczynają od follow-upu, w którym wracają do poprawionego montażu poprzedniego odcinka, problemów z kokpitem i streamingiem, nowego kanału VolandGaming, IMAX-a 70 mm, elektrycznej łyżki „solącej” jedzenie, zaćmienia Słońca oraz uporządkowanego archiwum Nadgryzionych. Największą … Czytaj dalej → The post 603: Steve Jobs i NeXT, nowy trailer GTA 6 oraz nowe Mac mini i Studio z M6 i M5 Ultra first appeared on Retro Rocket Network.

Jeff and Fernando delve into the $899 Mac mini, comparing the outgoing M4 model and the new M6 Mac mini. They also discuss the new M5 Pro Mac mini and Apple's new Mac Studio desktops equipped with M5 Max and M5 Ultra SoCs. Finally, the duo previews Apple's upcoming 'Surprise and Shine' iPhone event. 9to5Mac Overtime is a weekly video-first podcast exploring fun and interesting observations in the Apple ecosystem, featuring 9to5Mac's Fernando Silva & Jeff Benjamin. Subscribe to Overtime via Apple Podcasts and our YouTube channel for more. Related Videos https://youtu.be/B6tVWo0CLZE https://youtu.be/RQscZMkYR2k Hosts Fernando Silva Jeff Benjamin Subscribe 9to5Mac Overtime on Apple Podcasts 9to5Mac on YouTube 9to5Mac on YouTube membership with bonus perks Products mentioned Mocagen MC1 Phone Controller Sonnet Echo 21 Thunderbolt 5 SuperDock M6 Mac mini M5 Pro Mac mini Apple Polishing Cloth

Cette semaine : Gamescom 2026 avec GEOOOFFFF, 1666: Amsterdam (Gros EARLY ACCESS QUI TÂCHE), Prelude Dark Pain, Kusan City of Wolves, Dive of Die - Children of Rain, Witcher 3 Remastered + New DLC: Songs of the Past, Noclip fête ses dix ans, Lanterns, Batman: Knightfall - Part 1 - Knightfall, Mecha Comet, et Mac Studio M5 Max / Ultra + Mac Mini M6. Lisez plutôt Torréfaction #380 : Gamescom 2026, Fading Echo, 1666: Amsterdam, Kusan: City of Wolves, Dive or Die, et fournée de Mac Studio M5 et Mac Mini M6 avec sa vraie mise en page sur Geekzone. Pensez à vos rétines.

With Apple and Nvidia unleashing hardware that makes powerful local AI a reality, this episode unpacks the tech arms race changing how we run models at home and in business. Are we witnessing the end of the GPU monopoly and the start of real AI independence? (538) Qwen on X: "⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram https://t.co/SScnmzWS7O" / X Thomson Reuters built its own AI model on Chinese open-source tech to slash AI costs Now introducing Gemini Enterprise for Legal Meta reaches $16.68 billion settlement over social media harms to children Twitch and Amazon hit with lawsuit for training AI with streamers' content Three Takeaways From Bill Gates's 5,784-Word Warning on AI: 'There Is No Plan' (214) Breaking911 on X: "WATCH: A humanoid robot training for the "Robot Olympics" in Beijing runs too fast, fails to stop, slams into a safety cushion, and breaks at the waist https://t.co/WEHdYCiPlO" / X Nvidia Is Spending $6 Billion to Build a Powerful U.S. Alternative to Chinese AI A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. Inside Musk's First Address to Cursor: Grok Is Falling Behind Introducing Butter Box | Butter | Life without internet made smoother. Silicon Valley's Newest Status Symbol Is a Super-Rare Sam Altman Swiss Watch Hosts: Leo Laporte and Jeff Jarvis Co-Host: Christina Warren Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. 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 scribe.how/machines framer.com/machines

With Apple and Nvidia unleashing hardware that makes powerful local AI a reality, this episode unpacks the tech arms race changing how we run models at home and in business. Are we witnessing the end of the GPU monopoly and the start of real AI independence? (538) Qwen on X: "⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram https://t.co/SScnmzWS7O" / X Thomson Reuters built its own AI model on Chinese open-source tech to slash AI costs Now introducing Gemini Enterprise for Legal Meta reaches $16.68 billion settlement over social media harms to children Twitch and Amazon hit with lawsuit for training AI with streamers' content Three Takeaways From Bill Gates's 5,784-Word Warning on AI: 'There Is No Plan' (214) Breaking911 on X: "WATCH: A humanoid robot training for the "Robot Olympics" in Beijing runs too fast, fails to stop, slams into a safety cushion, and breaks at the waist https://t.co/WEHdYCiPlO" / X Nvidia Is Spending $6 Billion to Build a Powerful U.S. Alternative to Chinese AI A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. Inside Musk's First Address to Cursor: Grok Is Falling Behind Introducing Butter Box | Butter | Life without internet made smoother. Silicon Valley's Newest Status Symbol Is a Super-Rare Sam Altman Swiss Watch Hosts: Leo Laporte and Jeff Jarvis Co-Host: Christina Warren Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. 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 scribe.how/machines framer.com/machines

With Apple and Nvidia unleashing hardware that makes powerful local AI a reality, this episode unpacks the tech arms race changing how we run models at home and in business. Are we witnessing the end of the GPU monopoly and the start of real AI independence? (538) Qwen on X: "⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram https://t.co/SScnmzWS7O" / X Thomson Reuters built its own AI model on Chinese open-source tech to slash AI costs Now introducing Gemini Enterprise for Legal Meta reaches $16.68 billion settlement over social media harms to children Twitch and Amazon hit with lawsuit for training AI with streamers' content Three Takeaways From Bill Gates's 5,784-Word Warning on AI: 'There Is No Plan' (214) Breaking911 on X: "WATCH: A humanoid robot training for the "Robot Olympics" in Beijing runs too fast, fails to stop, slams into a safety cushion, and breaks at the waist https://t.co/WEHdYCiPlO" / X Nvidia Is Spending $6 Billion to Build a Powerful U.S. Alternative to Chinese AI A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. Inside Musk's First Address to Cursor: Grok Is Falling Behind Introducing Butter Box | Butter | Life without internet made smoother. Silicon Valley's Newest Status Symbol Is a Super-Rare Sam Altman Swiss Watch Hosts: Leo Laporte and Jeff Jarvis Co-Host: Christina Warren Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. 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 scribe.how/machines framer.com/machines

Apple teases their next event, “Surprise and shine” where we'll likely see iPhone 18 Pro and foldable iPhone Ultra, plus upgraded Mac Studio and M6 Mac mini released. Meta accepts sweeping teen restrictions in major lawsuit settlement, the OpenAI breach is scarier than we thought, and we debate what makes an app “whimsical.”Member Promo Code: IWANTCHAPTERS (Click above and the $2.50 promo will be auto applied!)Our AppsElement Photo AppKan Do Task AppStash App: Fast Copy to ClipboardContextly NotesOur LinksTop Five Tech | Stephen's PodcastCreative Effort | Jason's PodcastWatch on YouTube!Show Notes via EmailEmail Us: podcast@primarytech.fm@stephenrobles on Threads@jasonaten on ThreadsSponsors:Copilot Money - Limited-time: Get 2 months FREE when you sign up at: try.copilot.money/primaryFramer - Start creating for free at framer.com/primary and get 30% off an annual Pro plan!Links from the showJason's Article on Element Photo App (04:35)Apple announces iPhone 18 Pro and foldable iPhone Ultra event: 'Surprise and shine' - 9to5MacApple introduces new Mac Studio with M5 Max and M5 Ultra - AppleApple unveils a more powerful Mac mini featuring the all-new M6 and M5 Pro - AppleApple Maps Ads post from Stephen RoblesApple Maps Ads post from Joe RosensteelApple Won't Allow These Ad Categories in the Maps App - MacRumorsAds on Apple Maps – Apple AdsMeta agrees to heavy restrictions on teen users in major lawsuit settlement | The VergeOur Agreement With Bipartisan Attorneys General: Calling on TikTok and YouTube to Join Us in Supporting TeensAn Open Letter to TikTok and YouTube to Join Us in Supporting TeensOpenAI releases its official report on the Hugging Face breach | TechCrunchA turbulent AI era and critical choices to make - Gates NotesNetflix reportedly considers opening its app to other streamers | The Verge"Sandra Bullock" - SmartLess (01:09:00)Sandra Bullock (@sandrabullock) • InstagramMac Power Users #863: 20 Years of Things with Werner Jainek - Relay (01:14:40) (00:00) - Intro (04:25) - Our Apps (10:04) - iPhone Ultra Event (16:04) - M5 Mac Studio (25:11) - M6 Mac mini (40:15) - Sponsor: Framer (42:13) - Sponsor: Copilot Money (43:51) - Apple Maps Ads (56:49) - Instagram's Teen Restrictions (01:03:53) - OpenAI Breach Report (01:07:26) - Netflix Open to Other Streamers (01:08:56) - Celebrity Identities on Social (01:14:28) - What Makes a Whimsical App ★ Support this podcast ★

With Apple and Nvidia unleashing hardware that makes powerful local AI a reality, this episode unpacks the tech arms race changing how we run models at home and in business. Are we witnessing the end of the GPU monopoly and the start of real AI independence? (538) Qwen on X: "⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram https://t.co/SScnmzWS7O" / X Thomson Reuters built its own AI model on Chinese open-source tech to slash AI costs Now introducing Gemini Enterprise for Legal Meta reaches $16.68 billion settlement over social media harms to children Twitch and Amazon hit with lawsuit for training AI with streamers' content Three Takeaways From Bill Gates's 5,784-Word Warning on AI: 'There Is No Plan' (214) Breaking911 on X: "WATCH: A humanoid robot training for the "Robot Olympics" in Beijing runs too fast, fails to stop, slams into a safety cushion, and breaks at the waist https://t.co/WEHdYCiPlO" / X Nvidia Is Spending $6 Billion to Build a Powerful U.S. Alternative to Chinese AI A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. Inside Musk's First Address to Cursor: Grok Is Falling Behind Introducing Butter Box | Butter | Life without internet made smoother. Silicon Valley's Newest Status Symbol Is a Super-Rare Sam Altman Swiss Watch Hosts: Leo Laporte and Jeff Jarvis Co-Host: Christina Warren Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. 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 scribe.how/machines framer.com/machines

With Apple and Nvidia unleashing hardware that makes powerful local AI a reality, this episode unpacks the tech arms race changing how we run models at home and in business. Are we witnessing the end of the GPU monopoly and the start of real AI independence? (538) Qwen on X: "⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram https://t.co/SScnmzWS7O" / X Thomson Reuters built its own AI model on Chinese open-source tech to slash AI costs Now introducing Gemini Enterprise for Legal Meta reaches $16.68 billion settlement over social media harms to children Twitch and Amazon hit with lawsuit for training AI with streamers' content Three Takeaways From Bill Gates's 5,784-Word Warning on AI: 'There Is No Plan' (214) Breaking911 on X: "WATCH: A humanoid robot training for the "Robot Olympics" in Beijing runs too fast, fails to stop, slams into a safety cushion, and breaks at the waist https://t.co/WEHdYCiPlO" / X Nvidia Is Spending $6 Billion to Build a Powerful U.S. Alternative to Chinese AI A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. Inside Musk's First Address to Cursor: Grok Is Falling Behind Introducing Butter Box | Butter | Life without internet made smoother. Silicon Valley's Newest Status Symbol Is a Super-Rare Sam Altman Swiss Watch Hosts: Leo Laporte and Jeff Jarvis Co-Host: Christina Warren Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. 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 scribe.how/machines framer.com/machines

Surprise: there are new Mac minis and Mac Studios! Tim Cook has a farewell party when he is no longer CEO in September. Apple conducts layoffs in the Siri, Vision Pro Immersive Video & Gaming departments. And Walmart finally adds Google and Apple Pay. Apple's new Mac mini, featuring M6 and M5 Pro. Apple introduces new Mac Studio with M5 Max and M5 Ultra. Tim Cook's farewell party. HomePad code suggests it'll act like a giant Apple Watch. MacBook Ultra is coming: Six new features launching this fall. Apple reportedly lays off 60 Vision employees amid shifting priorities. Apple cuts Jobs in Siri, Vision Pro Immersive Video and Gaming teams. Apple removes some fees for App developers in European Union. Walmart is finally adding Apple Pay and Google Pay. Google's new Pixel 11 offers an incredible camera feature that Apple should copy. Here's everything new Apple TV has coming in September. Picks of the Week Leo's Pick: TMOG Christina's Picks: 9 to 5 and CheapCharts Andy's Pick: Trio Jason's Pick: Imagination Library 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: joinbilt.com/macbreak scribe.how/macbreak cachefly.com/twit

Microsoft tries to prove Windows on ARM is ready for prime time, but behind the PR push, unresolved questions about compatibility, branding, and a tepid market threaten to derail the company's ambitions. Also, PowerToys 0.101 is here with Windows Hopper and multiple improvements! Plus, Parallels Desktop 27 for Mac launches. Windows If a Week D falls in the woods and no one installs it, did a Week D really happen? Theory: This is the big one, with the three big changes Microsoft promised this year. Basically, this is Windows 11 version 26H2 Three new builds across Beta, Experimental, and Experimental (26H1) with a modernized AutoPlay experience and a new "Open apps maximized" accessibility feature Microsoft reminds business customers that Windows on Arm is terrific ahead of Nvidia RTX Spark launch Totally coincidental that this happened on the same day that Apple announced a new Mac Mini with M6 and M5 Pro and Mac Studio with M5 Ultra and M5 Max Microsoft 365 OneDrive for Mac gets native sync engine Proton Mail gets automatic and customizable category filtering AI/dev Bill Gates issues a strong warning on the dangers of AI. And you're not going to believe what number two is WSJ report echoes the complaints that Paul has been making for years. Again Adobe Firefly gets production-quality music, speech, and sound effect generation capabilities Apple Music will start labeling AI-generated music .NET Conf 2026 on track for November with .NET 11 XBOX and gaming XBOX testing long-awaited disc to digital entitlements The ASUS ROG XBOX Ally X20 is available now for $1299, or in a $2499 bundle Rumor: Microsoft prepping an Xbox Series X25 Limited Edition console for November Update: it's real. The XBOX 25th anniversary collection arrives November 13 Microsoft announces (third party) Designed for XBOX 25th Anniversary Collection of hardware peripherals IKEA has designed some XBOX-influenced furniture and it is amazing Rockstar Games weighs in on leaks as GTA VI reveal arrives (tomorrow) Commodore announces Alien Breed 35th Anniversary Collection for PC, consoles NVIDIA brings GeForce Now to Firefox Tips and picks Tip of the week: Expose yourself to other points of view App pick of the week: PowerToys RunAs Radio this week: Security Features of PowerShell 7 with Mike O'Neill Brown liquor pick of the week: SpiceBox Spiced Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. 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 Sponsor: canary.tools/twit - use code: TWIT

Microsoft tries to prove Windows on ARM is ready for prime time, but behind the PR push, unresolved questions about compatibility, branding, and a tepid market threaten to derail the company's ambitions. Also, PowerToys 0.101 is here with Windows Hopper and multiple improvements! Plus, Parallels Desktop 27 for Mac launches. Windows If a Week D falls in the woods and no one installs it, did a Week D really happen? Theory: This is the big one, with the three big changes Microsoft promised this year. Basically, this is Windows 11 version 26H2 Three new builds across Beta, Experimental, and Experimental (26H1) with a modernized AutoPlay experience and a new "Open apps maximized" accessibility feature Microsoft reminds business customers that Windows on Arm is terrific ahead of Nvidia RTX Spark launch Totally coincidental that this happened on the same day that Apple announced a new Mac Mini with M6 and M5 Pro and Mac Studio with M5 Ultra and M5 Max Microsoft 365 OneDrive for Mac gets native sync engine Proton Mail gets automatic and customizable category filtering AI/dev Bill Gates issues a strong warning on the dangers of AI. And you're not going to believe what number two is WSJ report echoes the complaints that Paul has been making for years. Again Adobe Firefly gets production-quality music, speech, and sound effect generation capabilities Apple Music will start labeling AI-generated music .NET Conf 2026 on track for November with .NET 11 XBOX and gaming XBOX testing long-awaited disc to digital entitlements The ASUS ROG XBOX Ally X20 is available now for $1299, or in a $2499 bundle Rumor: Microsoft prepping an Xbox Series X25 Limited Edition console for November Update: it's real. The XBOX 25th anniversary collection arrives November 13 Microsoft announces (third party) Designed for XBOX 25th Anniversary Collection of hardware peripherals IKEA has designed some XBOX-influenced furniture and it is amazing Rockstar Games weighs in on leaks as GTA VI reveal arrives (tomorrow) Commodore announces Alien Breed 35th Anniversary Collection for PC, consoles NVIDIA brings GeForce Now to Firefox Tips and picks Tip of the week: Expose yourself to other points of view App pick of the week: PowerToys RunAs Radio this week: Security Features of PowerShell 7 with Mike O'Neill Brown liquor pick of the week: SpiceBox Spiced Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. 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 Sponsor: canary.tools/twit - use code: TWIT

Surprise: there are new Mac minis and Mac Studios! Tim Cook has a farewell party when he is no longer CEO in September. Apple conducts layoffs in the Siri, Vision Pro Immersive Video & Gaming departments. And Walmart finally adds Google and Apple Pay. Apple's new Mac mini, featuring M6 and M5 Pro. Apple introduces new Mac Studio with M5 Max and M5 Ultra. Tim Cook's farewell party. HomePad code suggests it'll act like a giant Apple Watch. MacBook Ultra is coming: Six new features launching this fall. Apple reportedly lays off 60 Vision employees amid shifting priorities. Apple cuts Jobs in Siri, Vision Pro Immersive Video and Gaming teams. Apple removes some fees for App developers in European Union. Walmart is finally adding Apple Pay and Google Pay. Google's new Pixel 11 offers an incredible camera feature that Apple should copy. Here's everything new Apple TV has coming in September. Picks of the Week Leo's Pick: TMOG Christina's Picks: 9 to 5 and CheapCharts Andy's Pick: Trio Jason's Pick: Imagination Library 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: joinbilt.com/macbreak scribe.how/macbreak cachefly.com/twit

Microsoft tries to prove Windows on ARM is ready for prime time, but behind the PR push, unresolved questions about compatibility, branding, and a tepid market threaten to derail the company's ambitions. Also, PowerToys 0.101 is here with Windows Hopper and multiple improvements! Plus, Parallels Desktop 27 for Mac launches. Windows If a Week D falls in the woods and no one installs it, did a Week D really happen? Theory: This is the big one, with the three big changes Microsoft promised this year. Basically, this is Windows 11 version 26H2 Three new builds across Beta, Experimental, and Experimental (26H1) with a modernized AutoPlay experience and a new "Open apps maximized" accessibility feature Microsoft reminds business customers that Windows on Arm is terrific ahead of Nvidia RTX Spark launch Totally coincidental that this happened on the same day that Apple announced a new Mac Mini with M6 and M5 Pro and Mac Studio with M5 Ultra and M5 Max Microsoft 365 OneDrive for Mac gets native sync engine Proton Mail gets automatic and customizable category filtering AI/dev Bill Gates issues a strong warning on the dangers of AI. And you're not going to believe what number two is WSJ report echoes the complaints that Paul has been making for years. Again Adobe Firefly gets production-quality music, speech, and sound effect generation capabilities Apple Music will start labeling AI-generated music .NET Conf 2026 on track for November with .NET 11 XBOX and gaming XBOX testing long-awaited disc to digital entitlements The ASUS ROG XBOX Ally X20 is available now for $1299, or in a $2499 bundle Rumor: Microsoft prepping an Xbox Series X25 Limited Edition console for November Update: it's real. The XBOX 25th anniversary collection arrives November 13 Microsoft announces (third party) Designed for XBOX 25th Anniversary Collection of hardware peripherals IKEA has designed some XBOX-influenced furniture and it is amazing Rockstar Games weighs in on leaks as GTA VI reveal arrives (tomorrow) Commodore announces Alien Breed 35th Anniversary Collection for PC, consoles NVIDIA brings GeForce Now to Firefox Tips and picks Tip of the week: Expose yourself to other points of view App pick of the week: PowerToys RunAs Radio this week: Security Features of PowerShell 7 with Mike O'Neill Brown liquor pick of the week: SpiceBox Spiced Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. 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 Sponsor: canary.tools/twit - use code: TWIT

Microsoft tries to prove Windows on ARM is ready for prime time, but behind the PR push, unresolved questions about compatibility, branding, and a tepid market threaten to derail the company's ambitions. Also, PowerToys 0.101 is here with Windows Hopper and multiple improvements! Plus, Parallels Desktop 27 for Mac launches. Windows If a Week D falls in the woods and no one installs it, did a Week D really happen? Theory: This is the big one, with the three big changes Microsoft promised this year. Basically, this is Windows 11 version 26H2 Three new builds across Beta, Experimental, and Experimental (26H1) with a modernized AutoPlay experience and a new "Open apps maximized" accessibility feature Microsoft reminds business customers that Windows on Arm is terrific ahead of Nvidia RTX Spark launch Totally coincidental that this happened on the same day that Apple announced a new Mac Mini with M6 and M5 Pro and Mac Studio with M5 Ultra and M5 Max Microsoft 365 OneDrive for Mac gets native sync engine Proton Mail gets automatic and customizable category filtering AI/dev Bill Gates issues a strong warning on the dangers of AI. And you're not going to believe what number two is WSJ report echoes the complaints that Paul has been making for years. Again Adobe Firefly gets production-quality music, speech, and sound effect generation capabilities Apple Music will start labeling AI-generated music .NET Conf 2026 on track for November with .NET 11 XBOX and gaming XBOX testing long-awaited disc to digital entitlements The ASUS ROG XBOX Ally X20 is available now for $1299, or in a $2499 bundle Rumor: Microsoft prepping an Xbox Series X25 Limited Edition console for November Update: it's real. The XBOX 25th anniversary collection arrives November 13 Microsoft announces (third party) Designed for XBOX 25th Anniversary Collection of hardware peripherals IKEA has designed some XBOX-influenced furniture and it is amazing Rockstar Games weighs in on leaks as GTA VI reveal arrives (tomorrow) Commodore announces Alien Breed 35th Anniversary Collection for PC, consoles NVIDIA brings GeForce Now to Firefox Tips and picks Tip of the week: Expose yourself to other points of view App pick of the week: PowerToys RunAs Radio this week: Security Features of PowerShell 7 with Mike O'Neill Brown liquor pick of the week: SpiceBox Spiced Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. 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 Sponsor: canary.tools/twit - use code: TWIT

Apple's new Mac mini and Mac Studio spark a discussion of the M6 and M5 Ultra chips and how they measure up in performance and  upgrade decisions. The panel weighs Mac Studio trade-ins, Mac mini value, on-device AI and large language models, and Apple's increasingly powerful silicon. They also examine the move to 2-nanometer technology and debate Apple's redesigned keyboards and glyph-only modifier keys. The panel includes: Chuck Joiner, David Ginsburg, Web Bixby, Eric Bolden, Jeff Gamet, Jim Rea, Marty Jencius  MacVoices is supported by the new MacVoices Merch Store, featuring Comfort Colors t-shirts and sweatshirts, caps, mugs, stickers, and even more items coming. Check it out at store.macvoices.com. Show Notes: Chapters: 00:00 New Mac mini and Mac Studio arrive 00:25 Welcome and catching up 05:03 Apple's new desktop hardware 05:18 Who is buying a new Mac? 06:30 Configuring an M5 Ultra Mac Studio 07:46 Mac mini versus Mac Studio 09:00 Mac pricing and configuration choices 09:36 On-device AI and large language models 11:02 Choosing M5 Ultra over M6 12:22 M6 and 2-nanometer chip technology 13:57 Putting nanometer scale in perspective 15:00 Trading in older Macs 17:25 Apple introduces redesigned keyboards 18:25 The debate over glyph-only keys 20:40 Learning Apple's modifier-key symbols 21:24 Lightning, USB-C, and wireless keyboards 22:00 Wrapping up the new hardware discussion Links: Apple announces updated Mac mini, here's everything new https://9to5mac.com/2026/08/25/apple-announces-new-mac-mini-heres-everything-new/   Apple unveils new Mac Studio with M5 Max and M5 Ultra https://9to5mac.com/2026/08/25/apple-unveils-next-generation-mac-studio-with-m5-max-and-m5-ultra/ Guests: Get detailed bios and contact information about for the panel on the MacVoices Live! Panel page on our web site: https://macvoices.com/macvoiceslive/macvoices-live-panel/ Support: 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

Microsoft tries to prove Windows on ARM is ready for prime time, but behind the PR push, unresolved questions about compatibility, branding, and a tepid market threaten to derail the company's ambitions. Also, PowerToys 0.101 is here with Windows Hopper and multiple improvements! Plus, Parallels Desktop 27 for Mac launches. Windows If a Week D falls in the woods and no one installs it, did a Week D really happen? Theory: This is the big one, with the three big changes Microsoft promised this year. Basically, this is Windows 11 version 26H2 Three new builds across Beta, Experimental, and Experimental (26H1) with a modernized AutoPlay experience and a new "Open apps maximized" accessibility feature Microsoft reminds business customers that Windows on Arm is terrific ahead of Nvidia RTX Spark launch Totally coincidental that this happened on the same day that Apple announced a new Mac Mini with M6 and M5 Pro and Mac Studio with M5 Ultra and M5 Max Microsoft 365 OneDrive for Mac gets native sync engine Proton Mail gets automatic and customizable category filtering AI/dev Bill Gates issues a strong warning on the dangers of AI. And you're not going to believe what number two is WSJ report echoes the complaints that Paul has been making for years. Again Adobe Firefly gets production-quality music, speech, and sound effect generation capabilities Apple Music will start labeling AI-generated music .NET Conf 2026 on track for November with .NET 11 XBOX and gaming XBOX testing long-awaited disc to digital entitlements The ASUS ROG XBOX Ally X20 is available now for $1299, or in a $2499 bundle Rumor: Microsoft prepping an Xbox Series X25 Limited Edition console for November Update: it's real. The XBOX 25th anniversary collection arrives November 13 Microsoft announces (third party) Designed for XBOX 25th Anniversary Collection of hardware peripherals IKEA has designed some XBOX-influenced furniture and it is amazing Rockstar Games weighs in on leaks as GTA VI reveal arrives (tomorrow) Commodore announces Alien Breed 35th Anniversary Collection for PC, consoles NVIDIA brings GeForce Now to Firefox Tips and picks Tip of the week: Expose yourself to other points of view App pick of the week: PowerToys RunAs Radio this week: Security Features of PowerShell 7 with Mike O'Neill Brown liquor pick of the week: SpiceBox Spiced Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. 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 Sponsor: canary.tools/twit - use code: TWIT

Sorg, Katie Dudas, and Dave Podnar are back for another round of geeky tech, gadgets, games, collectibles, and Pittsburgh happenings. The episode opens on a somber note with a tribute to Dolly Parton and the impact of her philanthropy, including her work supporting childhood literacy. Then the crew gets into everything from simulated RC racing and Apple's latest Macs to a life-size Grogu, Linux history, Pokémon fossils, GTA VI leaks, and gaming at Pittsburgh International Airport. Topics discussed include: Remembering Dolly Parton – The crew reflects on Parton's passing, her charitable legacy, her support of literacy programs, and the positive impact she made far beyond entertainment. RC racing meets full-size driving simulators – Sorg discovers first-person RC car racing setups that combine tiny vehicles, onboard cameras, and full simulator rigs. The conversation explores CloudRC, RC aircraft, and whether experiences like this could become the next arcade, mall, or Dave & Buster's attraction. Apple updates the Mac mini and Mac Studio – Dave breaks down Apple's new Mac hardware, including the M6 chip, pricing, local AI performance, and the ability to combine machines over Thunderbolt 5. The crew discusses why local AI processing could become increasingly important for businesses dealing with cloud costs, privacy, and sensitive data. Pokémon Fossils invade Chicago – Chachi reports from the Pokémon Fossil Museum exhibit at Chicago's Field Museum, where fossils inspired by the games are compared with real paleontology. The exhibit even includes Pokémon GO bonuses and limited merchandise. Dungeon Crawler Carl and 3D printing – Katie opens her mysterious box of 3D-printed creations from Chachi's Plastic Fun Time shop, including Dungeon Crawler Carl characters, ornaments, magnets, Pokémon-inspired pieces, the infamous Rock Lobster, and more. Linux turns 35 – Dave traces the unlikely chain of events connecting AT&T antitrust action, UNIX, GNU, Linus Torvalds, and the operating system that became one of the foundations of modern computing. There's even a bonus discussion about Linux running on a Sega 32X. Kingdom Hearts expands – Chachi's Video Game Minute covers a 2027 release window for Kingdom Hearts 4 and a planned animated Kingdom Hearts series for Disney+. Mattel builds its own game studio – Mattel is expanding its internal video game operation with hundreds of developers and new games based on properties including UNO and Hot Wheels. GTA VI leaks and the digital ownership fight – The show looks at reported leaks of Grand Theft Auto VI material tied to protests over digital-only game distribution and the broader debate over whether players actually own their digital purchases. Transformers comes to Minecraft – Sorg and Katie explore the Transformers content available through the Minecraft Marketplace, including G1-inspired characters, story-based gameplay, combat modes, and plenty of temptation for Transformers fans. A nearly life-size Ultimate Grogu – Hasbro Pulse has a roughly 14.6-inch animatronic Grogu featuring movement, sounds, multiple interaction modes, cosplay-friendly settings, and a $599.99 price tag. Nature Calls restroom finder launches – The crowdsourced restroom-finding app discussed on an earlier AwesomeCast is now available, helping users locate bathrooms, water fountains, porta-potties, and other facilities. Gaming at Pittsburgh International Airport – Sorg checks out Gameway, a gaming lounge at Pittsburgh International Airport offering video games, snacks, drinks, and another option for travelers with time before a flight. Disney characters meet NFL teams – Disney and the NFL have teamed up for team-specific character merchandise. The Pittsburgh Steelers get Pete, while other combinations include Captain America with the Patriots, Thor with the Vikings, Darth Vader with the Raiders, and more. The crew also checks in on their recent Pittsburgh Shootout adventures and previews more of what's happening around the Sorgatron Media universe. RC Racing / CloudRC https://www.instagram.com/reels/Db2l4aVjpRO/ https://store.cloudrc.com/ Plastic Fun Time 3D Prints https://plasticfuntime.etsy.com/ Apple Mac mini / Mac Studio Updates https://www.wired.com/story/apple-announces-m6-and-m5-ultra-mac-mini-mac-studio/ 35 Years of Linux https://www.tomshardware.com/software/linux/linux-was-announced-by-linus-torvalds-35-years-ago-today-humble-os-started-with-10-000-lines-of-code-but-has-now-grown-to-40-million-dominates-global-infrastructure Kingdom Hearts Announcements https://thewaltdisneycompany.com/news/games-d23-digital-entertainment/ Mattel Game Studios https://kotaku.com/the-toy-maker-behind-barbie-and-hot-wheels-wants-to-make-its-own-video-games-2000724968 GTA VI Leak Story https://www.tomshardware.com/video-games/hacker-leaks-gta-vi-gameplay-and-map-to-protest-digital-only-release-claims-pre-orders-are-a-legacy-of-physical-game-releases Transformers Minecraft https://www.facebook.com/reel/1056475313409694 Nature Calls Restroom Finder – iOS https://apps.apple.com/us/app/find-toilets-nature-calls-run/id6790583853 Ultimate Grogu https://www.hasbropulse.com/product/star-wars-ultimate-grogu/G44835S00 Pittsburgh Airport Gameway https://www.instagram.com/reel/DcbcVbCBU34/?igsi=MTJweXZ1N2N4cTZ1dg== https://www.facebook.com/reel/1089385550715987 Disney x Pittsburgh Steelers https://www.nflshop.com/pittsburgh-steelers/disney/t-36604861+c-1202616796+z-8-2894738209?ab=%7Bwt-static_graphic%7D%7Bpt-TLP%7D%7Bal-HMB%7D%7Bct-Pittsburgh_Steelers_disney%7D

Apple's new Mac mini and Mac Studio spark a discussion of the M6 and M5 Ultra chips and how they measure up in performance and  upgrade decisions. The panel weighs Mac Studio trade-ins, Mac mini value, on-device AI and large language models, and Apple's increasingly powerful silicon. They also examine the move to 2-nanometer technology and debate Apple's redesigned keyboards and glyph-only modifier keys. The panel includes: Chuck Joiner, David Ginsburg, Web Bixby, Eric Bolden, Jeff Gamet, Jim Rea, Marty Jencius  MacVoices is supported by the new MacVoices Merch Store, featuring Comfort Colors t-shirts and sweatshirts, caps, mugs, stickers, and even more items coming. Check it out at store.macvoices.com. Show Notes: Chapters: 00:00 New Mac mini and Mac Studio arrive 00:25 Welcome and catching up 05:03 Apple's new desktop hardware 05:18 Who is buying a new Mac? 06:30 Configuring an M5 Ultra Mac Studio 07:46 Mac mini versus Mac Studio 09:00 Mac pricing and configuration choices 09:36 On-device AI and large language models 11:02 Choosing M5 Ultra over M6 12:22 M6 and 2-nanometer chip technology 13:57 Putting nanometer scale in perspective 15:00 Trading in older Macs 17:25 Apple introduces redesigned keyboards 18:25 The debate over glyph-only keys 20:40 Learning Apple's modifier-key symbols 21:24 Lightning, USB-C, and wireless keyboards 22:00 Wrapping up the new hardware discussion Links: Apple announces updated Mac mini, here's everything new https://9to5mac.com/2026/08/25/apple-announces-new-mac-mini-heres-everything-new/   Apple unveils new Mac Studio with M5 Max and M5 Ultra https://9to5mac.com/2026/08/25/apple-unveils-next-generation-mac-studio-with-m5-max-and-m5-ultra/ Guests: Get detailed bios and contact information about for the panel on the MacVoices Live! Panel page on our web site: https://macvoices.com/macvoiceslive/macvoices-live-panel/ Support:      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

0:00:00 – HKPUG 會訊 + TechTalk 0:52:20 – 依輪乜事 1:29:44 – Main Topic 本集全長：2:47:14 Tag: 九月茶聚開始登記, 香港電腦通訊節直播回顧, ProductTank HK 活動回顧, TechTalk, 政府新聞處處長謝振中, 部份社交媒體「已經過氣」？, 中國衛通衛星上網計劃年費 27,999 …

It can be hard enough to set up smart home tech in a house or an apartment, but what about a dorm room? Jennifer Pattison Tuohy recently tested out some smart home tech when she dropped off her son for his freshman year at Clemson. Jen reports back to David Imel on how the gadgets stood up to the challenges of college Wi-Fi and rules against hanging things on the wall. Further reading: Apple's new M6 chip gets more cores and more AI compute Apple's new Mac Mini has fresh M6 and M5 Pro chip offerings — and higher prices Apple launches new Mac Studios with its ‘most powerful chip ever' — the M5 Ultra Android is getting its own weird dots to cure car sickness WhatsApp is making it easier to ignore spam calls Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Apple's surprise Mac Mini and Mac Studio updates arrive just before iPhone season, accompanied by a casual social-first launch video. The M6 and M5 Pro Mac mini options make a strong case for creators who want a compact desktop for video editing, while aftermarket SSD upgrades offer a way around Apple's expensive storage tiers. The M5 Ultra Mac Studio pushes further into visual effects, AI-assisted photo and video editing, and private local AI, with high-memory configurations and the option to cluster machines for larger models. USB-C genlock adds a specialized but genuinely useful tool for frame-perfect sync in multi-camera shoots, screen recordings, and virtual production. Tyler's presets and LUTs http://stalman.com/shop David's thumbnail training https://thumbnailacademy.com/ Follow us Website http//www.fullstackcreatorshow.com Instagram https://www.instagram.com/fullstackcreatorshow Tiktok https://www.tiktok.com/@fullstackcreatorshow

Desktop AI is becoming a reality, and Apple wants the Mac sitting on your desk to replace at least some of the AI compute happening in massive data centers today. On this episode of What's Next Wall Street, we break down Apple's new Mac Mini and Mac Studio, escalating US-Canada tariffs, the campaign against Iran's oil exports, Callaway Golf's controversial Good Good Golf ad, and a potential multibillion-dollar sleep-tech IPO. First, the US-Canada trade fight is escalating. Canada is imposing 50% tariffs on more than 700 US goods as well as steel and aluminum, while President Trump is planning 50% tariffs on Canadian cars, trucks, and auto parts by January. Greg Krause looks at who actually gets hurt, including Ford, GM, Stellantis, Canadian companies, and railroads, and why the broader impact on US GDP and inflation may be relatively small. His view: tariffs work best as protection, not manipulation. Next, Washington's campaign against Iran's oil exports is being described as an "economic D-Day." The Treasury wants to isolate Iran financially and target countries helping it sell oil, including China and Russia. Greg explains the important difference between sanctions and a blockade and puts the US military presence in the region into perspective. We also look at whether disrupting Iranian oil really threatens global markets or whether buyers and producers will simply adapt. Then comes Apple. The new Mac Mini starts at $899 with Apple's M6 chip, built on a 2nm process with a 12-core CPU, 12-core GPU, and 16 dual-core Neural Engine. Apple says it can deliver up to 4x the performance of the M4 and process AI prompts up to 4.8x faster. More importantly, Apple is positioning the Mac Mini as an "always-on machine for AI agents." Instead of sending every prompt, document, or inference job to a cloud data center, developers can run LLMs locally using tools such as LM Studio and Krystallize.ai. The Mac Studio takes that idea much further. Starting at $2,499 with M5 Max and around $5,000 with M5 Ultra, configurations reach up to a 36-core CPU, 80-core GPU, 512GB of unified memory, and 1.2TB/s of memory bandwidth. Apple says M5 Ultra delivers 4.3x the AI compute performance of M3 Ultra and 10x that of M1 Ultra. Thunderbolt 5 and RDMA also make it possible to cluster Macs together. Apple says a four-system configuration can deliver roughly 3x the inference performance of a single Mac Studio. That's potentially a major shift: powerful AI models running locally, privately, and without a recurring cloud GPU bill. We also examine Callaway Golf's apology over a Good Good Golf ad in which an influencer knocks a woman down while going after a driver. Does controversy like this actually affect a public company's stock, or does Wall Street ignore it unless the company's core customers care? Finally, Aura Health, maker of smart sleep-tracking rings, is reportedly considering a roughly $3 billion IPO at a $16 billion valuation after generating about $1 billion in revenue last year. Greg looks at the opportunity and the challenge of competing with Apple Watch, Withings, and an increasingly crowded health-tracking market. Chapters:0:00 Welcome to What's Next Wall Street0:43 US-Canada Trade War Escalation3:01 Impact of Tariffs on Markets and Companies7:01 US Economic Pressure on Iran9:37 Iran Sanctions & Blockades17:09 Pro Tip: Diversify Gains17:53 Apple's New Mac Mini for Local AI19:31 Mac Studio: Desktop AI Supercomputer22:50 The Future of Local AI23:13 Callaway Golf's Controversial Ad Download your local AI for any M series Mac at Krystalize.AI now! Learn more about your ad choices. Visit megaphone.fm/adchoices

La inteligencia artificial ya no solo responde preguntas: también puede activar alertas, informar sobre conversaciones peligrosas y abrir un enorme dilema sobre nuestra privacidad.En este CuriosiMartes analizamos el caso de un joven arrestado después de conversar con ChatGPT sobre un posible crimen.¿Debe una IA mantener el secreto de una conversación o advertir a las autoridades cuando detecta una amenaza?Una discusión ética, legal y social que recién comienza.Pero este episodio viene más cargado que nunca: Amazon prueba nuevas entregas con drones —aunque no todas terminan bien—, aumentan los precios de los dispositivos Echo, aparecen filtraciones de GTA 6 y avanzan los aerotaxis eléctricos sin piloto.También conocemos Versa, una cámara gimbal que puede convertirse en dron; repasamos las novedades de Apple sobre sus nuevos procesadores y computadoras; y debatimos una polémica acusación contra Oura por completar con inteligencia artificial datos faltantes del sueño.Además, los Curiosinautas nos metemos de lleno en algunas de las preguntas más incómodas del futuro: ¿es legal entrenar una IA con libros protegidos por copyright?, ¿qué sucede cuando los robots comienzan a aprender en el mundo real?, ¿necesitarán cerebros independientes de Internet? China ya muestra su avance con competencias, atletas y robots capaces de realizar movimientos sorprendentes.#CuriosiMartes #idearVlog #InteligenciaArtificial #ChatGPT #Tecnología #Robótica #Apple #GTA6CuriosiMartes 291, idearVlog, inteligencia artificial, ChatGPT, ChatGPT FBI, privacidad ChatGPT, seguridad inteligencia artificial, dilemas éticos IA, futuro de la inteligencia artificial, robots con cerebro, cerebro robótico, robots China, robótica china, copyright inteligencia artificial, entrenamiento IA con libros, Apple M6, M5 Pro, M5 Ultra, Mac Mini, Mac Studio, iPhone Ultra, GTA 6, filtraciones GTA 6, drones Amazon, delivery con drones, aerotaxis eléctricos, cámara Versa, Oura Ring, datos de sueño, gafas inteligentes, memoria humana, conocimiento externo, Alzheimer, IA medicina, tratamiento de próstata, noticias tecnológicas, resumen tecnológico semanal, Curiosinautas

What changes when a single marketer creates as much value as an entire department? Reza Khadjavi (Founder & CEO, Motion) joins Connor MacDonald (CMO, Ridge) and Cody Plofker (Advisor & fmr. CEO, Jones Road) to explain why he built Runneth, an AI agent meant to eventually replace Motion's own product. He walks through the context engineering behind that shift and what it means for marketers. Motion scrapped its own revenue targets right after a record quarter, betting the whole company on AI agents. Reza explains how markdown files and organized repositories turn those agents into something closer to a new hire. His advice: skip the Mac Mini, move to the cloud, and put close to 10% of payroll behind AI. Powered By Motion https://9ops.co/motion-runneth Proppel https://9ops.co/weareproppel Aftersell https://9ops.co/aftersell-mops Haus https://www.haus.io/operators NeonPixel https://9ops.co/neonpixel Richpanel https://9ops.co/richpanel Operators Portal https://portal.9operators.com/dashboard Operators Newsletter https://9operators.com/

WS: terza seduta di fila in rialzo per il Dow; Nvidia rimbalza alla vigilia dei conti; Iran e Oman: si lavora a corridoio per navigazione a Hormuz; Apple lancia Mac Mini super chip; Anthropic: 30mila miliardi di ricavi? Puntata a cura di Stefania Spatti - Class CNBC Learn more about your ad choices. Visit megaphone.fm/adchoices

What if you could build a working business app—and an entire team of AI agents—in minutes, just by explaining what you want in plain English?That's the promise of GrokBot. And after putting it to work on two very different real-world problems, the combination of simplicity, autonomy, and always-on AI agents is hard to ignore.In this episode of Leveraging AI, Isar Meitis puts GrokBot through its paces. He builds a personalized travel-management app that checks his calendar and email for upcoming trips, identifies missing bookings, and helps research travel options. Then he goes considerably further: creating a multi-agent AI team to research, develop, and execute a marketing campaign.No elaborate prompt engineering. No dedicated Mac Mini. No complicated agent orchestration setup.But there are important catches—including cost, security questions, and the quality of the initial outputs.In this session, you'll discover:Why always-on AI agents could become an important tool for business leadersHow GrokBot compares with the experience of running tools such as OpenClawHow I created a personalized travel-management application in less than five minutesHow multiple AI agents can collaborate on research, strategy, content creation, publishing, and performanceHow an autonomous AI marketing team identified target audiences and developed campaign assetsWhy creating custom apps through plain English could challenge the traditional App Store modelWhy GrokBot's initial output quality still leaves room for human guidance and refinementIf you're a business leader wondering what comes after AI chatbots, this episode offers a practical glimpse at a world where you don't just chat with AI - you give it a goal and let a team of agents get to workAbout Leveraging AIMulti-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Adoption of AI has been dramatic, but the boost that the release of the OpenClaw agent technology delivered in November of last year was even more so. The mad rush to put agents to work has had wide ranging impacts, including market impacts on the supply of the venerable Mac Mini computer. That intensity and the need to manage the shockwaves agents are creating are what analysts Jean Atelsek and Marissa Incera joined host Eric Hanselman to discuss. There are now a proliferation of agents and they are creating demands on enterprise infrastructure that are outstripping those of initial AI adoption. The quandary enterprises are wrestling with is how to harness agentic power without limiting the innovations they can provide and still bounding the activities they can undertake. Effective agent use requires more than just an agent framework running on a single system. There has to be mediated access to data, management of context and memory in the agentic flow and security around agent action. The headlines are already filled with stories of the havoc that can be wreaked by misguided attempts. It requires a lot of diligence to get this right.   More S&P Global Content: Generative AI Digest: OpenClaw and Moltbook make a splash Generative AI funding: A sober retrospective and the trends shaping 2026 Next in Tech | Ep. 273: FinOps and AI Hyperscaler earnings quarterly: What price inference? For S&P Global Subscribers: Optimizing agentic AI systems Pricing the agentic enterprise: Megawatts, outcomes and intelligence in industrial environments Infrastructure and data challenges persist, agentic ones await – Highlights from VotE: AI & Machine Learning Host/Author: Eric Hanselman Guests: Jean Atelsek and Melissa Incera Producer/Editor: Dylan Scheible Published With Assistance From: Feranmi Adeoshun and Sophie Carr

Peter is building apps to track the moon, monitor the S&P 500, read text aloud, and eventually help automate options trading. Adam is battling GoDaddy, planning a Mac Mini trading setup, and trying not to make his knee injury worse. Along the way, they debate local versus cloud AI, celebrate the possible return of Dead End, discuss marathon training, and discover that even software developers occasionally need the moon to explain their dogs. Adam Bell and Peter Nikolaidis The Blurring The Lines Podcast Learn More About the Hosts: Peter Nikolaidis https://PN72.com https://friendswithbrews.com  Adam Bell Roaming Roan Lavender Farm https://rrlavenderfarm.com 

Most founders are still stuck living in a chat window…and it's quietly costing them hours every day. In this episode, Nik shares his recent keynote from the 2026 Ecom AI Summit in NYC, breaking down exactly how he built "Jet Damon," his personal AI chief of staff, and the second brain system now running nearly every part of his business. Listen as Nik walks through the three stages most operators get stuck in on the way to real AI leverage, then goes step-by-step into how a Mac Mini running Hermes powers 20+ specialized agents, from copywriters to an e-commerce ops manager, each paired with a "senior" agent that reviews their work before anything ships. Nik prompts a full advertorial from scratch in real time, and shares the exact prompt he uses to onboard a brand-new agent in under two minutes, plus how his daily "cockpit" report flags revenue dips, rising CAC, and competitor moves before he's even out of bed. If you're ready to stop checking five dashboards a day and start building a system that runs itself, this is the actual blueprint. And if you want to follow along with Nik's full slide deck, head over to https://jet.nik.co/ --- Want more DTC advice? Check out the⁠⁠⁠⁠⁠ Limited Supply YouTube page⁠⁠⁠⁠⁠ for more insider tips. And if you're looking for an instant stream of on-demand DTC gold, check out the⁠⁠⁠⁠⁠⁠ Limited Supply Slack Channel⁠⁠⁠⁠⁠⁠ for Nik's most unfiltered, uncensored thoughts. Check out the Nik's ⁠⁠⁠⁠⁠⁠DTC newsletter⁠⁠⁠⁠⁠⁠ Follow Nik on Twitter:⁠⁠⁠⁠⁠⁠⁠ https://www.twitter.com/mrsharma

#979 What if you could run your entire business without ever writing another email, article, or line of code yourself? In part 1 of this 2-part episode hosted by Brogan Williams, Jacques Hopkins returns to reveal how AI agents have completely transformed the way he runs his online business empire. Just over a year after his last appearance, Jacques shares how he went from basic chatbot prompting to running a full AI agent — named Rocky — that handles email triage, customer support drafts, SEO content, Google Ads, and even built a custom learning platform from scratch. He breaks down the crucial difference between AI "brains" (models like Claude and GPT) and the "harnesses" that give them bodies to actually take action, and explains how his team still keeps a human review layer in the loop even as AI takes over more of the heavy lifting! What we discuss with Jacques: + Piano In 21 Days origin story + ChatGPT bubble to power user + OpenClaw and the Mac Mini craze + Models vs. harnesses explained + Meet Rocky, the AI agent + Building a custom learning platform + AI-powered inbox triage system + Automated customer support drafts + Human review layer still matters + Overcoming AI overwhelm and fear Thank you, Jacques! Check out Part 2 of this episode. Check out Piano In 21 Days at PianoIn21Days.com. Check out The Online Course Guy at TheOnlineCourseGuy.com. Check out AI Operator Bootcamp at AIOperatorBootcamp.com. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

#980 What if the fastest way to get ahead of your competitors was already sitting in an app on your phone? In part 2 of this 2-part episode hosted by Brogan Williams, Jacques Hopkins breaks down exactly how everyday entrepreneurs can start using AI agents today, no Mac Mini or technical setup required. He walks through the three tabs of the Claude app, and makes the case that Cowork is the easiest on-ramp for non-coders who want to connect tools like Gmail and their calendar and start delegating real tasks. Jacques shares the origin story of his AI Operator Bootcamp, born from a retreat where fellow course creators were blown away by what he'd built with Rocky, and reflects on rebranding his business around AI as information becomes commoditized and transformation becomes the real product. He closes with candid advice on what he'd do differently starting out today (hint: audience first, always) and how he stays current in a space that changes by the week! What we discuss with Jacques: + Claude app's three tabs: Chat, Cowork, Code + Cowork as the easy on-ramp for non-coders + Connecting Gmail and calendar via connectors + Natural language works even in Claude Code + VS Code vs. using Claude Code directly + Origin story of the AI Operator Bootcamp + Migrating clients from OpenClaw to Hermes + Why transformation beats information now + Audience-first advice for starting over + Using X lists to stay current on AI Thank you, Jacques! Check out Part 1 of this episode. Check out Piano In 21 Days at ⁠PianoIn21Days.com⁠. Check out The Online Course Guy at ⁠TheOnlineCourseGuy.com⁠. Check out AI Operator Bootcamp at ⁠AIOperatorBootcamp.com⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

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

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.

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

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

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

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

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

Send us a text!Watch this episode on YouTube!This week:Vision Pro just went from future to flop