Podcast thumbnail for In The Loop

by Jack Houghton

4.8(24 reviews)
66 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸
66

Podcast Authority

Beta
GoodBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality77
Social0
YouTube86
Engagement51

Podcast Overview

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

Language

🇺🇲

Publishing Since

2/4/2025

Unlock The Full Podcast Authority Score Report

See how your podcast performs across key metrics

66

Podcast Authority

Beta
GoodBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality77
Social0
YouTube86
Engagement51
8
Excellent Areas
1
Good Performance
10
Growth Opportunities
excellent
Publishing Consistency
Every 7 days
Performing excellently!
good
iTunes Tags
6.5/10

Recommendations available

Unlock the full report to see detailed tips

poor
Episode Thumbnails

Recommendations available

Unlock the full report to see detailed tips

+16 More Metrics

Unlock comprehensive insights including:

  • • YouTube presence analysis
  • • Social media reach metrics
  • • RSS compliance scoring
  • • Podcast 2.0 features
  • • Technical standards
What's Included in Your Full Report

Detailed Analytics

  • Complete breakdown of all 19 authority metrics
  • Personalized recommendations for each metric
  • Industry benchmarks and comparisons
  • Technical RSS feed analysis and compliance scoring

Growth Strategies

  • Step-by-step action plans for improvement
  • Quick wins to boost your score immediately
  • Pro tips from successful podcasters
Get your free podcast insights report

See how your show performs across every key metric

Instant delivery
No spam
Attract Better Guests

High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.

Secure Sponsorships

Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.

Grow Your Audience

Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.

1 verified contact email on file for In The Loop

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

Episode thumbnail for How to get AI to write like you & your team

June 12, 2026

How to get AI to write like you & your team

<p>Open LinkedIn and count the posts that start with &quot;in today&#39;s fast-paced world.&quot; Check your inbox for someone circling back to delve into synergies. </p><p>The AI slop is coming from every direction now. People can tell, and they mark down what reads like a machine wrote it. </p><p>The fix isn&#39;t a cleverer prompt. It&#39;s that the model has never actually read your writing.</p><p>In this episode of In The Loop, I&#39;m walking through a six-step process to get AI to write like you and like your team, instead of like everyone else. </p><p><br></p><p>⏭️ Episode highlights</p><p>(00:55) – Why custom instructions still produce slop</p><p>(01:45) – Which writing actually needs this</p><p>(02:30) – Step one: let AI read your real writing</p><p>(03:30) – The voice profile prompt that nails your style</p><p>(04:30) – Building &quot;my-voice&quot; and &quot;de-slop&quot; skills</p><p>(05:30) – One slop sentence, rewritten in your voice</p><p>(06:30) – The MIT study on AI and cognitive debt</p><p>(07:15) – What to do this week</p><p><br></p><p>Episode transcript with more resources on the Mindset AI blog</p><p>If you enjoyed this episode, rate, follow, and share. It helps others stay ahead of the latest AI trends.</p>

Episode thumbnail for AI's yearly panic is back. Here's what everyone's getting right and wrong about it.

June 4, 2026

AI's yearly panic is back. Here's what everyone's getting right and wrong about it.

<p>Every summer since 2023, AI gets a panic season — critics say that AI&#39;s novelty i novelty&#39;s wearing off, the models have hit a wall, ninety-five percent of projects fail. </p><p>Each time it dominates for a few months, then dissolves. This year&#39;s arrived early, kicked off by Uber burning through its entire 2026 AI budget in four months with a COO who can&#39;t prove it was worth it. </p><p>But 2026&#39;s AI bubble panic is different, and not for the reason the coverage thinks: forty-five percent of the S&amp;P 500 is now riding on AI working out. Same pattern as every year — much higher stakes.</p><p>In this episode of In The Loop, I&#39;m pulling apart the three fears behind this year&#39;s AI panic — the AI ROI crisis, the jobs fear, and the market concentration risk — and giving each one a straight verdict.</p><p>I walk through the Uber rollout numbers, why Sam Altman and Dario Amodei are walking back their job-apocalypse predictions, and why the market fear is the one I find hardest to dismiss. The question isn&#39;t whether the panic is right. It&#39;s what&#39;s getting clearer while everyone&#39;s distracted by it.</p><p>⏭️ Episode highlights</p><p>(01:10) – The panic that arrives every summer</p><p>(02:50) – Uber&#39;s 95/70/11 rollout numbers</p><p>(05:00) – Why ROI is a measurement problem</p><p>(07:30) – Top earners are the most scared</p><p>(09:15) – Altman and Amodei walk it back</p><p>(11:30) – Is this 1999? Circular financing explained</p><p>(13:40) – The price signal the panic keeps missing</p><p>(15:10) – What to actually take from this</p><p>If you enjoyed this episode, rate, follow, and share. It helps others stay ahead of the latest AI trends.</p><p>🤝 We&#39;re social</p><p>Stay in the loop, even when you&#39;re not listening to this podcast.</p><ul><li>Jack Houghton LinkedIn - <a href="https://www.linkedin.com/in/jack-houghton1/">https://www.linkedin.com/in/jack-houghton1/</a></li><li>TikTok - @jackschats</li></ul><p>Mindset AI</p><ul><li>Mindset AI website - <a href="https://bit.ly/40lJr6B">https://bit.ly/40lJr6B</a></li><li>Newsletter - <a href="https://bit.ly/ITLnewsletter">https://bit.ly/ITLnewsletter</a></li><li>LinkedIn - <a href="https://www.linkedin.com/company/mindset-ai/">https://www.linkedin.com/company/mindset-ai/</a></li><li>YouTube - <a href="https://www.youtube.com/@GetMindsetAI">https://www.youtube.com/@GetMindsetAI</a></li><li>TikTok - @get.mindset.ai</li></ul>

Episode thumbnail for Why OpenAI co-founder and the world's most famous AI researcher just joined Anthropic

May 28, 2026

Why OpenAI co-founder and the world's most famous AI researcher just joined Anthropic

<p>Andrej Karpathy joined Anthropic on 19 May 2026. Most people read it as an OpenAI story — he co-founded the lab, left twice, and landed at the rival.</p><p><br /></p><p>That's not what this is. Eight weeks before he made the call, Karpathy built a 630-line Python script that ran 300 experiments on his own code in two days and found improvements he'd missed after months of hand-optimizing. </p><p><br /></p><p>He called it "the final boss battle." Anthropic then offered him the mandate to run that exact loop at the most consequential scale in the industry: using Claude to accelerate its own pre-training research.</p><p><br /></p><p>In this episode of In The Loop, I'm tracing what actually changed Karpathy's mind — from calling AI agents "terrible" in October 2025 to joining the lab pushing recursive self-improvement six months later. </p><p><br /></p><p>I cover autoresearch, what it found, and why Dario Amodei's quote about the AI-assistance multiplier is the most important thing said in frontier AI right now. </p><p>⏭️ Episode highlights</p><p>(01:15) – Karpathy calls AI agents "terrible" in Oct 2025</p><p>(02:30) – What changed: coding agents that basically work now</p><p>(03:30) – 700 experiments, two days, 11% faster training</p><p>(05:00) – What pre-training is and why it costs hundreds of millions</p><p>(06:15) – AlphaEvolve and Codex: every lab running the same loop</p><p>(07:10) – Dario Amodei: the multiplier going from 5% to 40%</p><p>(08:20) – The METR study: experienced devs were 19% slower</p><p>🔗 Links &amp; resources</p><ul><li>Andrej Karpathy, X post announcing Anthropic hire, 19 May 2026 — <a href="https://x.com/karpathy" rel="ugc noopener noreferrer" target="_blank">https://x.com/karpathy</a></li><li>GitHub: karpathy/autoresearch — <a href="https://github.com/karpathy/autoresearch" rel="ugc noopener noreferrer" target="_blank">https://github.com/karpathy/autoresearch</a></li><li>Andrej Karpathy on Dwarkesh Patel podcast, October 2025 — <a href="https://dwarkesh.com" rel="ugc noopener noreferrer" target="_blank">https://dwarkesh.com</a></li><li>Dario Amodei on Dwarkesh Patel podcast, "We are near the end of the exponential", February 2026 — <a href="https://dwarkesh.com/p/dario-amodei-2" rel="ugc noopener noreferrer" target="_blank">https://dwarkesh.com/p/dario-amodei-2</a></li></ul><p><br /></p><p>Episode transcript with more resources on the Mindset AI blog</p><p>If you enjoyed this episode, rate, follow, and share. It helps others stay ahead of the latest AI trends.</p><p><br /></p><p>🤝 We're social</p><p>Stay in the loop, even when you're not listening to this podcast.</p><ul><li>Jack Houghton LinkedIn - <a href="https://www.linkedin.com/in/jack-houghton1/" rel="ugc noopener noreferrer" target="_blank">https://www.linkedin.com/in/jack-houghton1/</a></li><li>TikTok - @jackschats</li></ul><p>Mindset AI</p><ul><li>Mindset AI website - <a href="https://bit.ly/40lJr6B" rel="ugc noopener noreferrer" target="_blank">https://bit.ly/40lJr6B</a></li><li>Newsletter - <a href="https://bit.ly/ITLnewsletter" rel="ugc noopener noreferrer" target="_blank">https://bit.ly/ITLnewsletter</a></li><li>LinkedIn - <a href="https://www.linkedin.com/company/mindset-ai/" rel="ugc noopener noreferrer" target="_blank">https://www.linkedin.com/company/mindset-ai/</a></li><li>YouTube - <a href="https://www.youtube.com/@GetMindsetAI" rel="ugc noopener noreferrer" target="_blank">https://www.youtube.com/@GetMindsetAI</a></li><li>TikTok - @get.mindset.ai</li></ul>

66 total episodes available

Deep-dive analytics for In The Loop

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is In The Loop?

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

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

No, this podcast does not typically feature guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.