0.000000 2.880000 Tech It From Me is an independent and solo-produced podcast. 2.880000 6.040000 Welcome to the Tech It From Me podcast, I'm Mike Madole. 6.040000 11.200000 Mark Zuckerberg just dropped what might be the most ambitious and controversial vision 11.200000 14.800000 for the future of AI we've seen yet. 14.800000 21.160000 Not a single, all-powerful, general intelligence ruling from the cloud, but personalized, super 21.160000 24.760000 intelligences, one for every person. 24.760000 25.760000 That's right. 25.760000 32.480000 Instead of one chat GPT for the masses, Zook wants each of us to have our own AI. 32.480000 38.320000 One that knows you, works for you and evolves with you. 38.320000 40.000000 So what does that mean? 40.000000 45.120000 How does it differ from what Apple, OpenAI, or Google are doing? 45.120000 51.040000 And is this brilliant innovation or a new kind of technology control? 51.040000 54.480000 This is a Tech It From Me podcast, let's go. 54.480000 56.880000 This is the Tech It From Me podcast. 56.880000 60.920000 Last week, Meta absolutely crushed its earnings report. 60.920000 66.160000 They've been on a hiring spree, stocks up, and the momentum is back. 66.160000 73.120000 And Zuckerberg used that moment to post what he called a kind of AI manifesto, a bold 73.120000 76.440000 vision for where he believes AI is headed. 76.440000 79.120000 So here's the core idea. 79.120000 86.520000 Better than a single centralized general intelligence, he wrote, "Will each have AIs that are smart enough 86.520000 95.960000 to help us in every area of our lives, coaching, teaching, creating, planning, memory, reasoning." 95.960000 103.800000 In other words, not one AI handing down wisdom, but a super intelligence tailored to you, your 103.800000 105.920000 own personal agent. 105.920000 111.280000 Not just answering questions, but anticipating your needs, learning your preferences, and 111.280000 113.720000 acting on your behalf. 113.720000 117.360000 He also took a stance that raised some eyebrows. 117.360000 122.920000 We've released our models as open source up until now, he said, but going forward, we're 122.920000 126.880000 no longer doing that because of safety. 126.880000 129.200000 That's a massive pivot. 129.200000 135.800000 Meta was previously one of the biggest backers of open source AI with their Lama models. 135.800000 140.880000 But now they're locking it down, we'll talk more about that later. 140.880000 147.640000 Let's talk about why Zuckerberg's idea of personal super intelligence is such a big deal. 147.640000 152.840000 And why it's different from the kind of AI we're all used to right now. 152.840000 159.040000 When most people think of AI today, they think of something like chat GPT or Google Gemini 159.040000 161.560000 or Microsoft co-pilot. 161.560000 165.040000 You type in a question, and it gives you an answer. 165.040000 170.080000 If you remember a little context from your chat window, but really that's about it. 170.080000 176.360000 You're interacting with what I'd call a public AI or a shared intelligence. 176.360000 182.480000 It knows a lot about the world, but nothing about you unless you feed it your story every 182.480000 185.480000 time you start a new conversation. 185.480000 192.560000 So now, imagine the opposite, imagine an AI that doesn't just answer your questions, 192.560000 201.120000 it knows your entire context, it knows your job, your calendar, your goals, relationships, 201.120000 207.440000 health data, your writing style, financial habits, even your stress levels if it's tied 207.440000 210.160000 into your wearables, for instance. 210.160000 215.800000 We're not talking about a smart assistant here, we're talking almost about a digital twin, 215.800000 220.600000 an AI that's not just smart but deeply personalized. 220.600000 224.400000 So let me give you a few examples of what this could look like in real life. 224.400000 228.960000 Let's say you're preparing for a quarterly review meeting. 228.960000 233.880000 Your personal AI already knows the KPI trends from your dashboards. 233.880000 239.640000 It knows which metrics matter to your VP, what your team's been working on, and which 239.640000 243.000000 pain points you've flagged in past meetings. 243.000000 249.000000 Without you even asking, it preps a talking points document, it'll generate charts and 249.000000 256.520000 even coaches you on how to position certain risks based on previous board reactions. 256.520000 261.280000 That's not a chatbot, that proactive augmentation. 261.280000 268.160000 Or let's say you're juggling family life, group chats, work emails, and maybe a side hustle. 268.160000 274.840000 Your AI could prioritize your notifications in real time based on urgency and emotional 274.840000 275.840000 tone. 275.840000 280.280000 Hey, Mike, this WhatsApp message from your daughter looks time sensitive. 280.280000 284.360000 The client email can wait, it's a routine check-in. 284.360000 290.080000 This is where AI moves from being a passive tool to an active partner. 290.080000 294.160000 It starts to act with intent on your behalf. 294.160000 300.480000 Now I know this sounds exciting and really it is, but here's the flip side. 300.480000 308.120000 Both level of personalization depends on incredible access to your private data, your messages, 308.120000 315.360000 your calendar, your voice, your files, maybe even biometric information. 315.360000 317.800000 And here's the uncomfortable truth. 317.800000 323.920000 No AI can be truly personal without being deeply intrusive. 323.920000 326.400000 This is where trust becomes critical. 326.400000 333.600000 Are we willing to give one company, like Mehta, that level of access? 333.600000 337.960000 What happens if that AI is compromised or misused? 337.960000 344.040000 What if the AI starts nudging you in ways that benefit them more than you? 344.040000 349.560000 From an IT leadership perspective, I've spent decades evaluating systems not just on 349.560000 353.880000 their capabilities, but on their risk profiles as well. 353.880000 360.480000 This model, while powerful, introduces a brand new category of risk in my opinion. 360.480000 363.040000 The upside is huge, don't get me wrong. 363.040000 370.240000 But so is the surface area for manipulation, for surveillance, or just plain mistakes. 370.240000 376.760000 That said, if we can get the balance right between personalization and protection, usefulness 376.760000 382.880000 and ethics, this idea has the potential to be the most transformative leap in computing 382.880000 385.360000 since the smartphone. 385.360000 390.740000 Because at the end of the day, personalized AI isn't just about convenience, it's about 390.740000 395.760000 how we interface with the digital world, it's about giving every person on the planet 395.760000 401.560000 a custom lens through which they understand and interact with information. 401.560000 405.120000 And that's truly a future worth paying attention to. 405.120000 410.680000 Alright, let's zoom out for a second and talk about how Mehta's vision compares to what 410.680000 413.040000 the other tech giants are doing. 413.040000 417.640000 Because make no mistake, this isn't just a philosophical difference. 417.640000 422.280000 This is a battle for the future of human computer interaction. 422.280000 429.400000 It's Apple, Microsoft, Google, Mehta, and of course, OpenAI, all taking very different 429.400000 432.640000 roads towards AI dominance. 432.640000 437.160000 Let's break down where each of the Big Five stands today. 437.160000 440.360000 Zuckerberg's play is bold. 440.360000 445.400000 Everyone gets their own super AI, something intelligent enough to help with anything in your 445.400000 451.320000 life built on Mehta's infrastructure embedded into its apps. 451.320000 458.400000 So it's ambient, integrated into WhatsApp, Messenger, Instagram, threads. 458.400000 463.480000 It would be personal, it learns from your data, it would be proactive, it doesn't wait for 463.480000 467.720000 you to ask, it starts to act on your behalf. 467.720000 470.000000 And it's no longer open source. 470.000000 473.840000 Mehta locking it down, citing safety concerns. 473.840000 479.600000 So Mehta wants to own the relationship layer between you and your AI across all of its 479.600000 480.600000 platforms. 480.600000 483.760000 It's the ultimate data flywheel. 483.760000 487.600000 And if they can pull it off, they don't just win AI. 487.600000 494.120000 They redefine what social media, communication, and productivity even looks like. 494.120000 497.360000 So let's talk now about Microsoft. 497.360000 499.640000 Their strategy is different. 499.640000 503.160000 It's not about building one AI for everyone. 503.160000 509.000000 And it's definitely not about creating an AI to live in your Instagram feed. 509.000000 513.560000 Microsoft is betting big on the idea of co-pilots. 513.560000 520.280000 Co-pilot for word, Excel, outlook, PowerPoint, teams, dynamics. 520.280000 522.560000 They're not trying to reinvent how we live. 522.560000 526.280000 They're just simply upgrading how we work. 526.280000 532.320000 They've turned the entire office suite into a front end for GPT4. 532.320000 538.880000 And thanks to their deep investment in open AI, Microsoft has a significant edge in enterprise 538.880000 540.960000 AI adoption. 540.960000 548.080000 They've embedded LLMs into the tools that millions of businesses already use every day. 548.080000 551.440000 This is truly a top-down approach. 551.440000 557.440000 Start with the workplace, win trust, and eventually expand into consumer life. 557.440000 564.440000 And from a monetization perspective, Microsoft is already turning this into real revenue. 564.440000 569.760000 Co-pilot licenses aren't cheap, and that's simply by design. 569.760000 572.120000 So then there's Google. 572.120000 576.600000 Google's approach has been a bit chaotic if I'm being honest. 576.600000 581.800000 They've had Bard, now Gemini, with Gemini 1.5 showing real promise. 581.800000 584.520000 But what's Google's core focus? 584.520000 593.560000 AI has an enhancement to search, an upgrade to work space, and an invisible layer on Android 593.560000 595.160000 and Chrome. 595.160000 599.240000 They want AI to be everywhere in the Google ecosystem. 599.240000 603.840000 But they haven't fully committed to personalization, the way that Meta has. 603.840000 610.000000 They're still grappling with how to integrate AI without cannibalizing their cash cow, search 610.000000 611.880000 advertising. 611.880000 618.320000 So while they're technically strong, they are strategically cautious. 618.320000 626.680000 Apple has stayed mostly quiet until recently, but WWDC 2025 changed that. 626.680000 632.240000 They introduced Apple intelligence, a very Apple take on AI. 632.240000 635.000000 It runs on device where possible. 635.000000 643.240000 It's personalized, but private, and it integrates with Siri, messages, mail, and beyond. 643.240000 644.760000 And here's the kicker. 644.760000 652.480000 They've partnered with OpenAI to let chat GPT handle more complex tasks, but only with explicit 652.480000 654.880000 user permission. 654.880000 657.880000 Apple's playing a trust first game. 657.880000 663.880000 They're betting that consumers don't just want AI, they want ethical, privacy-respecting 663.880000 664.880000 AI. 664.880000 671.960000 And in a world where your AI could know your thoughts, preferences, and medical history, 671.960000 673.960000 that trust matters. 673.960000 677.440000 Finally, there is OpenAI. 677.440000 680.960000 There's still the poster child for modern AI. 680.960000 689.600000 Their mission is to build AGI, artificial general intelligence that benefits all of humanity. 689.600000 699.280000 They've pioneered GPT-4 and now GPT-4-0, voice mode, memory, custom GPTs, and a rapidly 699.280000 702.120000 growing API ecosystem. 702.120000 707.080000 Their strength is technical excellence and pace of innovation. 707.080000 711.760000 And here's the thing, OpenAI is not a platform. 711.760000 717.600000 They don't have a native OS, a phone, an email app, or a calendar. 717.600000 723.080000 They rely on partners like Microsoft, and increasingly, they're trying to build their own 723.080000 725.080000 ecosystem. 725.080000 726.560000 What's the risk? 726.560000 732.520000 They could get squeezed out by the giants who do own the platforms. 732.520000 738.420000 So what makes Meta's approach stand out is the intensity of the personalization. 738.420000 740.880000 They're not just giving you tools. 740.880000 746.600000 They want to give you companions, and they want those companions to live on platforms 746.600000 750.520000 you already use five to ten times a day. 750.520000 756.600000 If Microsoft is building the new AI-powered office, and Apple is building the privacy 756.600000 762.440000 first AI phone, Meta wants to build the AI friend group. 762.440000 766.880000 It's present, always watching, and always helping. 766.880000 772.320000 From an IT leadership perspective, I see real promise in all of these approaches, but 772.320000 775.720000 also real fragmentation as well. 775.720000 781.920000 If every company builds their own AI silo, we risk recreating the same old platform 781.920000 788.360000 lock-in, only this time with models instead of operating systems. 788.360000 794.280000 It's fascinating and slightly unsettling moment in technology right now. 794.280000 798.840000 The only question is, whose vision is going to win? 798.840000 804.520000 So a question top of mind is what happened to the open source approach? 804.520000 810.280000 Meta used to be one of the biggest champions of open source AI. 810.280000 817.800000 Their Lama models were released openly, feeling tons of innovation from startups and researchers. 817.800000 821.040000 But now Zuckerberg says they're walking that back. 821.040000 822.040000 Why? 822.040000 827.960000 In his words, the models are getting so powerful that we need to start treating them more like 827.960000 830.160000 nuclear material. 830.160000 833.120000 We don't want bad actors using them. 833.120000 836.280000 So on the surface, that makes sense. 836.280000 844.200000 Nobody wants scammers or any other malicious actors using advanced AI to cause chaos. 844.200000 845.760000 But let's be honest. 845.760000 849.400000 There's also a business incentive here. 849.400000 854.240000 Locking down your most advanced models means you take control. 854.240000 856.080000 You control the value. 856.080000 861.040000 You own the distribution and you monetize the access. 861.040000 865.400000 And while that may be good for shareholders, it's less clear whether it's good for the 865.400000 868.760000 broader AI ecosystem. 868.760000 875.280000 The tension between innovation and safety, between openness and control, that debate is heating 875.280000 876.280000 up. 876.280000 881.560000 And in my opinion, Zuckerberg just threw gas on that fire. 881.560000 883.840000 So what happens next? 883.840000 887.560000 Let's imagine you have your own personal AI. 887.560000 892.600000 Maybe it lives in your phone, maybe in your augmented reality glasses. 892.600000 895.600000 Maybe it talks to you through your smart speaker. 895.600000 900.920000 Who's ready for a chip embedded maybe into their cerebral cortex of your brain? 900.920000 903.520000 Your personal AI knows your routines. 903.520000 907.840000 It answers emails, it suggests life decisions. 907.840000 912.680000 It becomes your digital twin or even your digital boss. 912.680000 914.360000 Do we really want that? 914.360000 918.920000 Or more importantly, do we trust the company behind it? 918.920000 924.600000 Zuckerberg says this isn't about replacing human work or handing over control. 924.600000 929.880000 He says the goal is to augment us, not automate us. 929.880000 935.880000 And maybe he's right, but when the richest people in the world start talking about super intelligence 935.880000 942.400000 for everyone, we need to ask, is this empowerment or entrenchment? 942.400000 949.760000 Because one thing is for sure, personalized AI will shape how we work, live, learn and 949.760000 952.840000 connect in the coming decade. 952.840000 962.200000 Zuckaberg's AI manifesto might sound like science fiction, but it's closer than you think. 962.200000 964.840000 The infrastructure is already here. 964.840000 967.800000 The models are already in training. 967.800000 973.000000 And the personalization, well, that part's just a matter of data. 973.000000 979.720000 So the real question isn't if we'll have our own AI, it's who will own the AI that 979.720000 982.240000 knows us best. 982.240000 987.720000 If this episode made you think, or rethink your view on artificial intelligence, share 987.720000 994.400000 it with a friend, a coworker, or someone who still thinks meta is just the Facebook company. 994.400000 1001.120000 And as always, subscribe on your favorite podcast platform and check out TechItFromMe.com for 1001.120000 1007.800000 more episodes, blog articles and transcripts of past episodes as well. 1007.800000 1011.960000 This has been the Tech It From Me podcast, thank you for listening. 1011.960000 1014.960000 Get for me is an independent and solo-produced podcast. 1014.960000 1016.476688 [BLANK_AUDIO]