In The Loop

Thanks for tuning into In The Loop in 2025. I can't wait to see you next year.Don't forget to follow and rate the podcast. Please share the show with a friend.

OpenAI just dropped GPT-5.2, and it's their most focused release yet. No AGI promises this time—just real improvements for professional work. In this final episode of 2025, I break down what actually matters about this release.You'll learn about the three model versions (Instant, Thinking, and Pro Extended Thinking), massive context window upgrades, and genuine breakthroughs in spreadsheets and presentations. I also cover what still lags behind—speed issues, writing quality versus Claude, and where hallucinations still creep in.Join me for the last In The Loop episode of the year.⏭️ Episode Highlights(00:55) – OpenAI's GPT 5.2 release (GpT Garlic) and what it means(01:55) – How is GPT-5.2 better: what has been improved(09:15) – What still needs work: speed and writing quality(10:45) – Closing thoughts🔗 Links & ResourcesEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset 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 

OpenAI just declared Code Red. But here's the twist: three years ago, it was Google in crisis mode. When ChatGPT launched, Google's founders came back to pull all-nighters, teams were reassigned overnight, and it felt like the beginning of the end for Google's dominance. Now the tables have turned.In this episode of In The Loop, we explore why OpenAI faces the a code-red crisis—talent drain, user attrition, a $27 billion funding gap, and desperate product pivots—while Google is leading with an 87-92% chance of having the top model by year's end, whileMarket leadership never lasts forever. The question is: can OpenAI turn it around?⏭️ Episode Highlights(01:15) – Code Red at OpenAI and what it really means(05:30) – What does this tell us about OpenAI's strategy?(06:25) – The financial pressures crushing OpenAI's business model(09:40) – User feedback and the over-refusal problem(10:50) – The switching problem: why developers are choosing Claude(12:40) – How Google and Anthropic are winning the competition(14:10) – The talent drain hitting OpenAI(15:00) – Four things to watch for in the AI market(16:50) – Closing thoughts on market leadership and comebacks🔗 Links & ResourcesEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset 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 

Every week, new AI features and automations appear, but the real question isn't whether you can automate something—it's whether you should. In this episode of In The Loop, I break down a framework—from the Department of Product Substack—to help you decide where to start with AI automation in your product. We’ll cover the concept of verifiability, how to score opportunities across safety, volume, and ease of validation, and why most AI features should be assistants, not full autopilots.By the end, you'll have a practical approach to evaluating AI opportunities and avoiding the mistakes that kill adoption before it starts.⏭️ Episode Highlights(01:30) – Why automation is AI's biggest superpower right now(04:15) – The Verifiability Principle: Can you tell if it worked?(07:00) – Product vs. process: Deciding what to automate for users vs. teams(09:15) – The three-dimensional framework: Safety, volume, and verifiability(12:35) – Three reasons AI automation fails and how to design around them(13:50) – Closing thoughts: Why doing nothing is no longer an option🔗 Links & ResourcesEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset 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 

Google’s just dropped two new AI models that broke the internet—and got Sam Altman worried. Gemini 3 Pro and Nana Banana Pro hit number one on the app store and generated hundreds of millions of images in days.In this episode of In The Loop, I'm breaking down the capabilities that set these models apart: from perfect multilingual text generation to 24-hour autonomous coding sessions. If you've been waiting for AI assistants and image generation to finally feel useful in your everyday work, this might just be it.⏭️ Episode Highlights(01:15) – Gemini 3 Pro and Nana Banana Pro hit different(03:10) – Nano Banana nails multilingual text(06:08) – Maintaining image identity—blending up to 14 images(07:12) – Real-time data grounding with live information from Google Search(08:50) – Gemini 3 Pro's claim of 24+ hours of autonomous work(11:35) – Complex screenshot interaction and better UI navigation(13:16) – Multiple solution approaches(15:25) – Closing thoughts: what's changed and why Sam Altman should be worried🔗 Links & ResourcesEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset 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 

OpenAI just released GPT 5.1—but this time, there are no benchmark charts, no performance graphs, and no technical metrics. Instead, they're selling something much harder to measure: vibes.In this episode of In The Loop, I break down the five key improvements in GPT 5.1 and what this dramatic shift from technical benchmarks to user experience tells us about where AI is heading. From better instruction following to warmer personality (at the cost of safety regressions), OpenAI is making bold choices to compete with Claude's rising market dominance.⏭️ Episode Highlights(01:30) – GPT-5.1 improvement #1: Better instruction following(02:25) – GPT-5.1 improvement #2: Increased decisiveness(04:15) – GPT-5.1 improvement #3: Enhanced planning(04:53) – GPT-5.1 improvement #4: Writing improvements(08:00) – GPT-5.1 improvement #5: Warmer personality(10:20) – Conclusion: Why vibes now matter as much as benchmarks🔗 Links & ResourcesEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset 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 

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 & ResourcesEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset 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 

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 & ResourcesEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset 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 

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 & ResourcesEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset 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

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 & ResourcesEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset 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