In The Loop

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 & Resources

Episode transcript with more resources on the Mindset AI blog

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Jack Houghton

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TikTok - @jackschats 

Mindset Ai

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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. 🚀

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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/ 

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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 & 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/ 

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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 & 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

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

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

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

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

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

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. 🚀

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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