In The Loop

Jack Houghton
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Stay in the loop with the biggest stories in AI—without the noise and nonsense. Each week, Jack Houghton (CPO at Mindset AI) unpacks the latest news, research, and product trends shaping the future of artificial intelligence. From OpenAI breakthroughs to unicorn startups, In The Loop delivers sharp, less than 20-minute episodes packed with insights for product leaders, engineers, and AI-curious innovators. Subscribe to get smarter about AI, every week. Don't forget to rate and share the show with other AI enthusiasts. Check out Mindset AI: https://bit.ly/40lJr6B

  1. The Man Who Predicted The 2008 Market Crash Just Bet $1 Billion Against AI

    قبل يومين

    The Man Who Predicted The 2008 Market Crash Just Bet $1 Billion Against AI

    Michael Burry—the legendary investor who foresaw the 2008 housing collapse—is at it again. This time, he’s betting against the biggest names in artificial intelligence: Nvidia and Palantir. Burry reportedly wagered over 80% of his portfolio—more than $1.1 billion—on their decline, triggering panic across global markets and wiping out over a trillion dollars in value in a single day. In this episode of In The Loop, I unpack exactly why Burry made this move, the financial mechanics behind his short, and what it could mean for the future of AI. I break down how money is flowing in ways that might not add up, and why I think the market’s reaction is missing the bigger picture. ⏭️ Episode Highlights (01:00) – Who is Michael Burry, and why his market calls shake Wall Street (04:10) –  The circular money flow between Nvidia, OpenAI, Microsoft, Amazon, and others (08:20) – Why Burry might be right about overvaluation—but wrong about a full-blown collapse (12:00) – Why this might just be a temporary correction—not the end of the AI boom 🔗 Links & Resources Episode transcript with more resources on the Mindset AI blog If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀 🤝 We’re Social Stay in the loop—even when you’re not listening to this podcast. Jack Houghton LinkedIn - https://www.linkedin.com/in/jack-houghton1/  TikTok - @jackschats  Mindset Ai Mindset AI website - https://bit.ly/40lJr6B  Newsletter - https://bit.ly/ITLnewsletter  LinkedIn - https://www.linkedin.com/company/mindset-ai/  YouTube - https://www.youtube.com/@GetMindsetAI  TikTok - @get.mindset.ai

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  2. AI Isn't Causing Mass Layoffs—It's Being Scapegoated

    ٧ نوفمبر

    AI Isn't Causing Mass Layoffs—It's Being Scapegoated

    Amazon announced 14,000 job cuts, citing AI transformation. Two days later, the CEO tells investors it's "not AI-driven." So which is it? In this episode of In The Loop, I dive into the growing disparity between record profits and mass layoffs at tech giants. After spending a weekend analyzing financial statements, competitive positioning, and workforce data, I have four questions to ask that reveal whether companies are experiencing genuine AI productivity gains or just using AI as a cover for cost-cutting measures they'd have taken anyway. ⏭️ Episode Highlights (01:00) – The contradiction that bugs me (03:10) – The impact of unemployment (05:15) – Four questions that reveal why AI is just a scapegoat (11:20) – Closing thoughts 🔗 Links & Resources Episode transcript with more resources on the Mindset AI blog If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀 🤝 We’re Social Stay in the loop—even when you’re not listening to this podcast. Jack Houghton LinkedIn - https://www.linkedin.com/in/jack-houghton1/  TikTok - @jackschats  Mindset Ai Mindset AI website - https://bit.ly/40lJr6B  Newsletter - https://bit.ly/ITLnewsletter  LinkedIn - https://www.linkedin.com/company/mindset-ai/  YouTube - https://www.youtube.com/@GetMindsetAI  TikTok - @get.mindset.ai

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  3. Why OpenAI's Atlas Browser Won't Take Down Google

    ٣٠ أكتوبر

    Why OpenAI's Atlas Browser Won't Take Down Google

    OpenAI has just launched its own AI browser, Atlas, sparking headlines about the “return of the browser wars” and speculation that Google might finally have a real challenger. In this episode of In The Loop, I break down what Atlas actually is, how it compares to competitors like Perplexity’s Comet, and why I don’t believe it’s going to dethrone Chrome—or even come close. But the real question isn’t whether Atlas can beat Google. It’s what Atlas tells us about the future of AI, data, and how we’ll interact with the internet. From context-aware chat features and Agent Mode to privacy trade-offs and market realities, I unpack the hype, share my hands-on impressions, and explore what this new browser means for users like you and me. ⏭️ Episode Highlights (00:45) – Introducing OpenAI’s new browser, Atlas, and the hype surrounding its launch (02:30) – What Atlas actually is: context-aware ChatGPT and Agent Mode explained (08:40) – The strategic context: why Atlas was built on Google’s Cranium and what that means (15:50) – Closing thoughts: Atlas might not win the market, but it could still be useful for you 🔗 Links & Resources Episode transcript with more resources on the Mindset AI blog If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀 🤝 We’re Social Stay in the loop—even when you’re not listening to this podcast. Jack Houghton LinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset Ai Mindset AI website - https://bit.ly/40lJr6B Newsletter - https://bit.ly/ITLnewsletter LinkedIn - https://www.linkedin.com/company/mindset-ai/ YouTube - https://www.youtube.com/@GetMindsetAI TikTok - @get.mindset.ai

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  4. AI’s Just Made Robots Interesting Again

    ٢٢ أكتوبر

    AI’s Just Made Robots Interesting Again

    For decades, robotics has carried the reputation of being the ultimate “technology that never quite delivered.” But this month—October 2025—something shifted. Over $6 billion has poured into robotics, with major investors declaring that the next big thing is physical AI. In this episode of In The Loop, I explore why robotics might finally be having its iPhone moment. I break down what’s changed, from embodied AI that gives robots physical intuition to world models that let machines simulate and predict how the real world works. We’ll dig into why companies like SoftBank, Nvidia, and Elon Musk’s xAI are doubling down on humanoid robots, how breakthroughs in training data and cloud infrastructure are reshaping what’s possible, and whether this surge of optimism is the start of something big—or just another hype cycle in the making. ⏭️ Episode Highlights (00:55) – Setting the stage: the long history of consumer robotics overpromising and underdelivering (00:55) Why $6 billion just flowed into robotics: SoftBank, xAI, and the rise of world models (08:05) Reality check: the challenges still holding robotics back from mass adoption (10:15) Breaking down the three biggest hurdles: real-world reliability, cost, generalization & edge-cases (11:40) Closing thoughts: why AI robots might be closer than we think, but not quite here yet 🔗 Links & Resources Episode transcript with more resources on the Mindset AI blog If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀 🤝 We’re Social Stay in the loop—even when you’re not listening to this podcast. Jack Houghton LinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset Ai Mindset AI website - https://bit.ly/40lJr6B Newsletter - https://bit.ly/ITLnewsletter LinkedIn - https://www.linkedin.com/company/mindset-ai/ YouTube - https://www.youtube.com/@GetMindsetAI TikTok - @get.mindset.ai

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  5. AI Workslop Is A Human Problem

    ١٥ أكتوبر

    AI Workslop Is A Human Problem

    There’s a new workplace jargon floating around: AI workslop. Coined by Stanford researchers, it captures a growing frustration with AI-generated content that looks polished at first glance but falls apart upon second look. In this episode of In The Loop, I unpack what “ AI workslop” really means, its cost to organizations, and most importantly, question whether it's a tooling issue or a human problem. We’ll explore how the so-called “efficiency trap” is lowering quality standards at work, how overconfidence in AI training can backfire, and why domain expertise matters more than ever. Plus, I’ll share four ways to fix this problem so we can all spend more time producing work we’re actually proud of. ⏭️ Episode Highlights (00:55) – What “AI workslop” actually is and why it’s becoming everyone’s problem (05:30) – The “efficiency trap” and the four stages of AI workshop evolution (10:25) – Centaur vs. cyborg approach: what good AI use really looks like (11:00) – Four ways to fix the AI workslop problem in your team (14:40) – Closing thoughts: Setting expectations instead of blaming tools 🔗 Links & Resources Episode transcript with more resources on the Mindset AI blog If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀 🤝 We’re Social Stay in the loop—even when you’re not listening to this podcast. Jack Houghton LinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset Ai Mindset AI website - https://bit.ly/40lJr6B Newsletter - https://bit.ly/ITLnewsletter LinkedIn - https://www.linkedin.com/company/mindset-ai/ YouTube - https://www.youtube.com/@GetMindsetAI TikTok - @get.mindset.ai

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  6. Top Three DevDay 2025 Announcements: ChatGPT Apps, AgentKit, Context Capture

    ٨ أكتوبر

    Top Three DevDay 2025 Announcements: ChatGPT Apps, AgentKit, Context Capture

    OpenAI just made its boldest move yet—and it’s not about a smarter model. It’s about owning the future of how we use AI. At DevDay 2025, OpenAI revealed a massive shift from raw intelligence to practical utility, unveiling the ChatGPT Apps SDK, their new agent builder, and a new context-capture system that could change how every app on the planet works. In this episode of In The Loop, I break down what these announcements mean, why they matter, and how they all fit into OpenAI’s bigger plan to sit at the center of every human–AI interaction. From deep context integration to the risks of ecosystem lock-in, I’ll unpack the signal from the noise and what these moves tell us about where AI is heading next. ⏭️ Episode Highlights (01:10) - The new ChatGPT Apps: OpenAI’s third and most ambitious attempt at a platform strategy (07:10) - Deep context integration and how it could redefine every app interaction (10:05) - Inside AgentKit: building AI agents and workflows without code (14:00) - What this all means for the future of conversational AI technology 🔗 Links & Resources Episode transcript with more resources on the Mindset AI blog If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀 🤝 We’re Social Stay in the loop—even when you’re not listening to this podcast. Jack Houghton LinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset Ai Mindset AI website - https://bit.ly/40lJr6B Newsletter - https://bit.ly/ITLnewsletter LinkedIn - https://www.linkedin.com/company/mindset-ai/ YouTube - https://www.youtube.com/@GetMindsetAI TikTok - @get.mindset.ai

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  7. Are Meta Ray-Ban Smart Glasses Suddenly Cool?

    ٢٤ سبتمبر

    Are Meta Ray-Ban Smart Glasses Suddenly Cool?

    Imagine a world where your glasses can translate conversations in real time, display arrows on the street to guide your way, and let you respond to messages without ever pulling out your phone. That’s the promise behind Meta’s new Ray-Ban smart glasses, announced at Meta Connect. But despite all the futuristic potential, the launch wasn’t without its awkward demo fails. So, are these glasses a glimpse of our inevitable future, or just another overhyped gadget? In this episode of In The Loop, I unpack the features that could make these smart glasses revolutionary—or doom them to obscurity. From live translations and accessibility breakthroughs to navigation, content creation, and the ever-present question of social acceptance, we’ll explore whether this could be the iPhone moment that changes everything. ⏭️ Episode Highlights (01:00) – Meta Connect recap and the specs of the Ray-Ban smart glasses (04:00) – What can you use the Meta Glasses for? (04:50) – Live captions, translations, and accessibility use cases (06:30) – Navigation, content creation, and privacy concerns (08:00) – Message triaging and hand-free texting (09:07) – Camera, content creation, and related privacy (10:15) – Speed of adoption: Price, user experience, social acceptance, and competition (17:55) – My verdict: cautiously optimistic, but not yet at an iPhone moment 🔗 Links & Resources Episode transcript with more resources on the Mindset AI blog If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀 🤝 We’re Social Stay in the loop—even when you’re not listening to this podcast. Jack Houghton LinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset Ai Mindset AI website - https://bit.ly/40lJr6B Newsletter - https://bit.ly/ITLnewsletter LinkedIn - https://www.linkedin.com/company/mindset-ai/ YouTube - https://www.youtube.com/@GetMindsetAI TikTok - @get.mindset.ai

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  8. Should AI Companions Be Legal? The U.S. Government Isn't Sure...

    ١٨ سبتمبر

    Should AI Companions Be Legal? The U.S. Government Isn't Sure...

    This week, I’m unpacking a landmark move from the Federal Trade Commission: a sweeping investigation into AI companions. Seven of the biggest tech companies—Google, Meta, OpenAI, Snapchat, Character.ai, xAI, and Replika—now have just 45 days to reveal how their AI bots really work, how they protect young users, and how they monetize engagement. In this episode of In The Loop, I explore why teenagers are so drawn to these AI “friends,” the real risks of emotional dependence, and the potential benefits that are often overlooked. From regulation and age checks to psychological impacts and the future of AI companionship, this is a conversation about what comes next for society as we enter an era where AI can become a confidant, a mentor—or something much more. ⏭️ Episode Highlights (00:50) – Why the FTC’s investigation matters for the future of AI (04:30) – What makes an AI companion different from a chatbot (08:50) – Ethical and psychological considerations (09:25) – When AI friendships turn toxic: emotional dependence and “ambiguous loss” (12:50) – What regulation might look like: age checks, consent controls, and tackling manipulative design (15:25) – Big-picture reflections: AI companions are here to stay, but how do we manage them responsibly? 🔗 Links & Resources Episode transcript with more resources on the Mindset AI blog If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀 🤝 We’re Social Stay in the loop—even when you’re not listening to this podcast. Jack Houghton LinkedIn - https://www.linkedin.com/in/jack-houghton1/  TikTok - @jackschats  Mindset Ai Mindset AI website - https://bit.ly/40lJr6B  Newsletter - https://bit.ly/ITLnewsletter  LinkedIn - https://www.linkedin.com/company/mindset-ai/  YouTube - https://www.youtube.com/@GetMindsetAI  TikTok - @get.mindset.ai

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Stay in the loop with the biggest stories in AI—without the noise and nonsense. Each week, Jack Houghton (CPO at Mindset AI) unpacks the latest news, research, and product trends shaping the future of artificial intelligence. From OpenAI breakthroughs to unicorn startups, In The Loop delivers sharp, less than 20-minute episodes packed with insights for product leaders, engineers, and AI-curious innovators. Subscribe to get smarter about AI, every week. Don't forget to rate and share the show with other AI enthusiasts. Check out Mindset AI: https://bit.ly/40lJr6B

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  • صناع العمل
    Jack Houghton
  • سنوات النشاط
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  • الحلقات
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  • حقوق النشر
    © Jack Houghton
  • موقع البرنامج على الويب
    In The Loop