In The Loop

Jack Houghton
  • 5.0（1則評分）
  • 科技新聞
  • 每週更新

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. Are Meta Ray-Ban Smart Glasses Suddenly Cool?

    6 天前

    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

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

    9月18日

    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

    17 分鐘
  3. The Real Cost Of AGI—According To OpenAI

    9月10日

    The Real Cost Of AGI—According To OpenAI

    This week on In The Loop, I’m breaking down OpenAI’s staggering financial projections and what they reveal about the true cost of pursuing AGI. With spending expected to soar to $115 billion by 2029, the question is: where is all this money actually going—and can it really deliver the future OpenAI is betting on? In this episode, I follow the money trail to uncover the massive investments in data centers, chips, and infrastructure that power AI. From the scale of Project Stargate to the risks of building custom hardware, I explore the economics, the environmental impact, and the high-stakes race among tech giants. By the end, you’ll have a clear picture of just how enormous—and risky—this journey to AGI really is. ⏭️ Episode Highlights (00:40) - Why compute and training costs are driving massive investments (06:20) - The cost of poser: The rising demand for energy and the environmental toll of AI infrastructure (09:20) - The cost of training data: How copyright settlements could add billions to training costs (10:40) - Historical parallels: railway mania, the dot-com bubble, and today’s AI boom (11:45) - Closing thoughts: Will AI infrastructure spending outpace actual demand? 🔗 Links & Resources Episode transcript with more resources on the Mindset AI blog EP28 - Is The AI Bubble About To Burst? 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

    13 分鐘
  4. Has Google Just Beaten Apple With The New AI Phone? (Google Pixel 10)

    8月27日

    Has Google Just Beaten Apple With The New AI Phone? (Google Pixel 10)

    Has Google just leapfrogged Apple in the AI device race with its brand-new Pixel 10? After months of talking about AI trends and whether we’re in a bubble, I wanted to take a closer look at how this technology is actually showing up in the real world—and there’s no better example than smartphones. In this episode of In The Loop, I break down the new AI features Google has built into the Pixel 10, why they matter, and how they compare to Apple’s faltering “Apple Intelligence” rollout. From on-device models to context-aware assistants, Google may have just redefined how we’ll all be using our phones in the years to come. But the real question is: will people actually switch from iPhone to Pixel? Let’s unpack it together. ⏭️ Episode Highlights (00:50) - The clever Google Pixel 10 ad taking direct aim at Apple (03:40) - Gemini Live, Magic Cue, and other exciting new AI features in the Google Pixel 10 (10:07) - The role of context engineering in AI device development (12:40) - What this all means for Apple’s strategy moving forward (14:45) - Closing thoughts: Will you switch from Apple to Google? 🔗 Links & Resources Episode transcript with more resources on the Mindset AI blog Related episodes: EP23 - What Is Context Engineering And Why Should You Care?EP20 - Apple Is Cooked—Here Are Three Reasons Why 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

    16 分鐘
  5. Is The AI Bubble About To Burst?

    8月20日

    Is The AI Bubble About To Burst?

    This week’s topic: Are we in an AI bubble? Sam Altman himself recently said yes—and called today’s startup valuations “insane.” Meanwhile, ChatGPT faced a user rebellion, and massive infrastructure investments are being announced at a scale that rivals entire industries. So what’s really happening? Are we watching history repeat itself with another dot-com-style bubble, or are we in the middle of something much bigger and more durable. In this episode of In The Loop, I break down Altman’s comments, explore the narratives driving the AI bubble thesis, and examine the data that both supports and challenges it. We’ll look at margins, adoption metrics, and infrastructure spending to separate hype from reality—and I’ll share why I think the truth might be more nuanced than the “bubble” label suggests. ⏭️ Episode Highlights (00:40) – Sam Altman’s view on the AI bubble (05:50) — Reasons why people compare AI to the dot-com bubble (06:30) – Why I don’t think AI isin a bubble: user demand, pricing structure, and enterprise integration (11:55)-- Conclusion: two likely scenarios 🔗 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

    15 分鐘
  6. GPT-5 Review: Everything You Need To Know

    8月14日

    GPT-5 Review: Everything You Need To Know

    GPT-5 has finally arrived—but is it the AI revolution we were promised, or just a clever business move + marketing hype After months of speculation, heated debates, and a very memorable launch event, OpenAI has dropped GPT-5 into the wild. The reaction? Let’s just say it’s been… complicated. In this episode of In The Loop, I cut through the noise to give you the real story: what’s genuinely new, what’s actually useful, and what’s just marketing fluff. We unpack the features that could reshape coding forever—from massive context windows to hybrid reasoning models—and explore why GPT-5 might be less about pure AI leaps and more about aggressive pricing strategies aimed squarely at Anthropic and others. Expect real talk on the benchmarks, the “chart crimes,” and why prediction markets flipped on OpenAI minutes after the launch. ⏭️ Episode Highlights (00:50) – Setting the scene: GPT model chaos, market shifts, and Anthropic’s growing lead (02:30) – What’s actually new in GPT-5: hybrid models, 400k-token context, and UI-savvy coding (07:30) – Benchmarks, reasoning gaps, and the hidden “model routing” system (10:40) – Prediction markets flip, “chart crimes” at the GPT-5 launch, and independent reviews (16:15) – Competitive threat to Anthropic and the enterprise coding market (17:25) – Closing thoughts: technical leap, business masterstroke, or both? 🔗 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

    19 分鐘
  7. The Top Four AI Trends & Predictions Of Summer 2025

    8月7日

    The Top Four AI Trends & Predictions Of Summer 2025

    This summer, the world of AI has taken a sharp and fascinating turn. In this episode of In The Loop, I break down four powerful trends that are quietly—and not-so-quietly—reshaping the future of our digital economy. From AI companies being forced to pay for content, to Wall Street trading computing power like it's oil, things are shifting fast. And these aren't just random changes—together, they signal a much bigger story. Let’s explore the rise of ambient agents, the monetization of web data, the financialization of compute power, and a surprising new twist in how products are being built not for humans but for AI agents. This is one of those episodes that connects the dots between what’s happening now and where we're all headed next. You don’t want to miss it. ⏭️ Episode Highlights (00:55) - Trend #1: What are ambient AI agents? (08:30) - Trend #2: Pay-per-crawl: How AI is disrupting the web’s free content model (12:30) - Trend #4: Computing power as a commodity: Wall Street’s new gold rush into GPU futures (15:20) - Trend #5: AX (Agent Experience) is here: Why websites are now being designed for AI, not humans (16:30) - What these trends say about the bigger AI transformation ahead 🔗 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

    17 分鐘
  8. Why is learning at work so bad & how do we fix it with AI?

    7月31日

    Why is learning at work so bad & how do we fix it with AI?

    AI is reshaping work while corporate learning stays stuck. Compliance-first courses, born after Enron and locked into SCORM, waste time and budget. Companies spend $340B a year; 70% is forgotten within 24 hours. As automation threatens up to 800M jobs by 2030, workers need real upskilling-personalised, in-the-flow coaching, triage by need, and conversational support- not “click next” modules. Lori Niles-Hofmann has spent 20+ years inside L&D across banking, consulting, and marketing, leading large digital transformations and building data-driven frameworks that turn L&D from support to strategy. She’s published courses with 100K completions, serves on EdTech/HRTech boards, and wrote The Eight Levers of EdTech Transformation. Her ER “triage” insight—sparked by a chaotic airport-to-hospital day—explains how to prioritise skills, kill duplication, escape SCORM’s limits, and move to AI-powered learning coaches tailored to each person’s work. ⏭️ Episode Highlights (03:12) – The compliance trap: Why early e-learning became "legal documents to protect the company" rather than actual learning (07:02) – Meet SCORM: The 25-year-old technical standard that has trapped corporate learning in "click next to continue" modules (12:22) – Lori's vodka-fueled revelation: How a hospital emergency room visit revealed the solution to broken workplace learning (15:06) – The triage model: Why learning should work like an ER- prioritized by need, personalized by context (18:28) – The AI future: Learning coaches that know your calendar, projects, and work context to provide just-in-time development 🔗 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. Where to find Lori: LinkedIn Personal websiteHer consultancy The Eight Levers To EdTech Transformation Book 🤝 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

    26 分鐘
顯示全部 (33)

簡介

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

資訊

  • 創作者
    Jack Houghton
  • 活躍年代
    2025年
  • 集數
    33
  • 年齡分級
    兒少適宜
  • 版權
    © Jack Houghton
  • 節目網站
    In The Loop

你可能也會喜歡