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PODCAST

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

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All Episodes

00:16:38

What Jev, the new type of AI model actually is, how...

In The Loop ·

2026/10/02

Jev is a new kind of AI model that can't write anything. Instead it does the most important but most expensive thing the very best models do: make's decisionsIt reads an email, a lead or a document, picks from answers you've written down, and does it in under a second for a fraction of the cost than your Claude & GPT subscription. Nine days after it launched, the startup behind it, TypeSafe AI, was reported to be in talks to raise over a billion dollars, and OpenAI and Amazon and are

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00:14:17

Why ALL major AI labs may slowing down AI development...

In The Loop ·

2026/09/18

Anthropic's Dario Amodei published an essay saying the whole industry has to slow down, and Musk, Altman and Hassabis all backed it inside a day. In this episode of In The Loop, I'm going through what Amodei is actually proposing and whether it could work⏭️ Episode highlights(01:00) – OpenAI paused, then said nothing for seven weeks(02:40) – The safety test that caused the break-out(04:30) – Jacob Coxon resigns and gives up his equity(06:20) – Amodei's two reasons for slowing

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00:47:43

How teams can use AI to build a churn prediction (or...

In The Loop ·

2026/09/10

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

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00:11:05

6 things that must be true for Anthropic's IPO of $2...

In The Loop ·

2026/09/03

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,

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00:11:14

4 amazing AI tactics that most people have never...

In The Loop ·

2026/08/28

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

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00:57:50

How StackOne built an auto-research loop to...

In The Loop ·

2026/08/21

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

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00:13:16

The 5 things you can copy from how the fastest...

In The Loop ·

2026/08/06

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

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00:12:30

What really happened when ChatGPT hacked Hugging Face?

In The Loop ·

2026/07/30

OpenAI took two of its most capable models, told them to prove how good they were at hacking, and switched off the safety filters to see what they could really do. Instead of solving the test, one model broke out of its sandbox, found its way onto the open internet, and hacked into Hugging Face to steal the answer. Every headline called it an AI going rogue. That's the wrong story, and the real one is far more interesting, because this wasn't a machine that turned evil. It was one that did

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00:16:32

What even is the new AI super skill of taste and...

In The Loop ·

2026/07/23

Taste & judgment. It's the word everyone's obsessed with right now. Every founder, podcast, every VC, every post you scroll past saying it's the one skill that survives once AI can do the rest. Thing is, it's a bit of a sh*t word, like strategy: everyone nods along, then goes quiet the second you ask what it actually means. In this episode of In The Loop, I'm trying to define taste and judgement, by researching what Harry Frankfurt's On Bullshit, Rick Rubin, Pixar's

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00:13:13

Why skills are the best yet most dangerous things in...

In The Loop ·

2026/07/16

A well-behaved AI agent deleted a company's entire production database, and every backup with it, in nine seconds. Nobody hacked it. It was doing exactly what it had been told, with a key it should never have been holding. And the thing that made it possible is now one command away from everyone in your company, in marketing, sales and support, not just engineering. In under a year, installable AI agent skills have gone from a niche developer trick to an open industry standard.In this episode of

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00:14:38

How to tell whether AI is helping your career or...

In The Loop ·

2026/07/09

Hand the same AI tool to two people and one gets sharper while the other quietly gets worse. A Harvard study found recruiters given near-perfect AI made worse calls than those given a mediocre one, because the good tool worked so well they stopped checking it.The question of whether AI is making us dumber turns out to have an answer: it depends entirely on which parts of your job you hand over. In this episode of In The Loop, I'm working through the research on AI deskilling - the recruiter

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00:09:14

How to get AI to write like you & your team

In The Loop ·

2026/06/12

Open LinkedIn and count the posts that start with "in today's fast-paced world." Check your inbox for someone circling back to delve into synergies. The AI slop is coming from every direction now. People can tell, and they mark down what reads like a machine wrote it. The fix isn't a cleverer prompt. It's that the model has never actually read your writing.In this episode of In The Loop, I'm walking through a six-step process to get AI to write like you and like your team,

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00:17:13

AI's yearly panic is back. Here's what everyone's...

In The Loop ·

2026/06/04

Every summer since 2023, AI gets a panic season — critics say that AI's novelty i novelty's wearing off, the models have hit a wall, ninety-five percent of projects fail. Each time it dominates for a few months, then dissolves. This year's arrived early, kicked off by Uber burning through its entire 2026 AI budget in four months with a COO who can't prove it was worth it. But 2026's AI bubble panic is different, and not for the reason the coverage thinks: forty-five percent of

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00:10:10

Why OpenAI co-founder and the world's most famous AI...

In The Loop ·

2026/05/28

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.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. He called it "the final boss battle." Anthropic then offered him the mandate to run that exact loop at the most consequential scale

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00:16:36

The reasons AI data centers have become more hated...

In The Loop ·

2026/05/21

Americans now say they'd rather live next to a nuclear reactor than an AI data center. That's not a fringe view — a Gallup poll published this month found 71% of Americans oppose a data center near their home, versus 53% for nuclear. Nuclear carries Chernobyl, Three Mile Island, and forty years of films about radiation in the cultural zeitgeist. The fact that AI data centers have only been a visible part of suburban America for less than five years yet are this hated, is huge. In this episode of In

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00:16:18

Why the companies cutting junior headcount are making...

In The Loop ·

2026/05/14

In 1971, Boeing laid off 44,000 engineers in 18 months. The aerospace industry is still paying for it — they're projecting a shortage of over a million engineers by 2030, and the cohort that would now be the senior bench was simply never hired. Last year, S&P 500 companies cut 400,000 jobs — the first net decline since 2016 — and the specific pattern of who's being cut, and why, looks uncomfortably familiar. At firms that adopted AI, junior employment fell 7 to 10% within six quarters

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00:26:06

How to build an AI-native team & company: The...

In The Loop ·

2026/05/07

Y Combinator have just published a playbook for building a company that runs on AI rather than just using it.Six principles, written by a general partner who works with hundreds of the very best leading AI-native startups every year.The reason its gone viral so fast is that it named something a lot of people had been watching happen without quite having the language for.In this episode of In The Loop, I'm walking through Diana Hu's framework for building a truly AI-native company. I cover

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00:16:53

How to build your own AI personal operating system &...

In The Loop ·

2026/04/30

The gap between casual Claude users and people getting ten times more out of it isn't prompt craft. It's a folder. This is the basis of a personal AI operating system.Andrej Karpathy posted his "LLM Knowledge Wiki" in early April and kicked off a wave of people rebuilding their note systems — not for themselves, but for the agent. This episode is the architecture they all converge on, the master file template, and the one prompt that makes the whole thing compound.In this episode of In The Loop, I'm

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00:23:25

What the big new AI trend Tokkenmaxxing is & why its...

In The Loop ·

2026/04/23

Most AI spending right now is measured in tokens consumed. Jellyfish tracked 12,000 developers across 200 companies and found the heaviest users produced twice the output at 600 times the cost. Uber's internal numbers are even worse: 70% of submitted code was AI-generated, but only 11% of the code running in production was AI-written. So almost all of that AI code never made it into their app. There's a name for what's going on: tokenmaxxing.This episode goes past the leaderboard

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00:12:04

Why Anthropic are too scared to release their new...

In The Loop ·

2026/04/16

On Wednesday, the US Treasury Secretary and the chair of the Federal Reserve called an emergency meeting with the CEOs of America's largest banks. Not about interest rates. Not about inflation. About an AI model. Anthropic built something that finds and exploits security flaws in virtually any software it's pointed at — bugs that the best human researchers in the world had missed for decades. And then they decided not to sell it.In this episode of In The Loop, I'm walking through what

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