HeyJaredIn 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…
- Indexed episodes, last 90 days
- 9
- Latest publication
- Sep 10, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 9, 2026
Latest episodes
How teams can use AI to build a churn prediction (or any prediction) model with 98% accuracy in 2 weeks (opens the original)
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Within his first two weeks as COO at Turtl, Dave Martin and his team built a churn prediction model. Tested against historic customer data, it predicted churn with 98% accuracy. Work like that normally takes six months or more, plus an agency and external partners. Most companies still make that call on gut feel, or by putting some basic data into Claude or ChatGPT. In this episode of In The Loop, I'm joined by Dave to walk through exactly how he and his team did it, using a method he calls patt
6 things that must be true for Anthropic's IPO of $2 trillion to be achievable (as the largest IPO ever) (opens the original)
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Anthropic went from $9bn of annualised revenue in December to $65bn by the end of July, and it's expected to list in October at close to $2 trillion - the highest price any company has ever carried into a stock market debut. If you work backwards from that valuation, it has to be earning about $1.2 trillion a year within a decade. The entire world spends $1.5 trillion on software. So the Anthropic IPO isn't a bet on software at all. It's a bet on wages. In this episode of In The Loop, I'm explor
4 amazing AI tactics that most people have never heard about (opens the original)
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In this episode of In The Loop, I'm going through four tactics engineers any many others use every day that almost nobody outside engineering has heard of: Fan out, adversarial review, ChatGPT's computer history, and the browser Claude got of its own this month. ⏭️ Episode highlights (01:00) – Why engineers are years ahead of everyone else (01:45) – Fan out: several Claudes, one job (02:45) – Why long chats get worse the further down your list they go (04:20) – Adversarial review: the blank chat
How StackOne built an auto-research loop to continually improve their product (opens the original)
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Once a week, an agent at StackOne goes hunting for new prompt injection attacks. It reads papers, trawls Reddit, tries what it finds against real models, keeps the attacks that land, and retrains StackOne's defence model on them. A person still approves every deployment. Guillaume Lebedel, their CTO, puts the whole thing on screen, including the five experiments out of six that failed. In this episode of In The Loop, Guillaume talks about how and why they have built an auto-research loop. What o
The 5 things you can copy from how the fastest growing company in the world: Anthropic. (opens the original)
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Anthropic went from about a billion dollars in revenue to about forty-seven billion in a bit over a year, roughly doubling every six weeks. In this episode of In The Loop, I'm going through how the fastest-growing company in history actually builds software, and pulling out five things you can learn from how they build products & their teams. ⏭️ Episode highlights (03:00) – One job title, teams of two engineers (05:30) – The five archetypes with no job titles (07:45) – Building hundreds of versi
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