The AI Leader

About The AI Leader

AI Connect is delighted to bring you this artificial intelligence podcast series. Each episode will feature some of the most insightful and technologically advanced AI leaders from across the world sharing their knowledge, discussing industry trends and describing how the latest tech is affecting everything from banking to sport. Hosted on Acast. See acast.com/privacy (https://acast.com/privacy) for more information.

Publisher

Kristopher McFadyen

Category

business · education · technology

Language

en

Explicit

No

First episode

15 May 2024

Latest episode

10 Sept 2026

Latest episodes

12 of 27 episodes have a transcript.

1. 

   10 Sept 2026TRANSCRIPT

   Are Businesses Pointing AI at the Wrong Problems?

   Senior AI Engineer Francis Beeson joins Kris, Andy, and Megan to explore how businesses can achieve AI ROI by focusing on the right problems and fostering AI literacy.

2. 

   24 Jun 2026TRANSCRIPT

   Banned: Inside Anthropic's Fable Fallout

   Kris, Megan, and Andy interview each other about Anthropic's Fable release, the challenges of AI safety narratives versus commercial pressures, and potential limits to AI's real-world impact.

3. 

   5 May 2026TRANSCRIPT

   Mythos: The AI Model Too Dangerous to Release

   In this episode of AI Right, Kris, Megan and Andy dig into Anthropic's newly announced frontier model, Mythos, a model the company says is too dangerous to release publicly because of its ability to find software vulnerabilities at scale. Anthropic has rolled it out to just 12 companies, such as Amazon, Microsoft, etc., under a private preview called Project Glasswing. Is this a genuine safety concern or a clever PR play in the run-up to Anthropic's rumoured IPO? Megan draws the parallel to OpenAI's GPT-2 "too dangerous to release" moment and asks what's really changed. Andy walks through Anthropic's system card, the claims around Mythos's near-infinite context window and recursive self-correction, and why the scaling hypothesis means open source will keep catching up regardless. From there, the conversation turns to what this actually means in practice. The team works through how the cyber offence-and-defence cycle times start to collapse when an AI is the one hunting vulnerabilities, and what happens when subtle flaws can be quietly injected into the open-source packages most companies depend on. Pinning to older versions feels like a safe move until you realise those older versions might be just as exposed to a problem with uncomfortable echoes of log4j. Megan offers a clean mental model along the way, framing AI development as a recipe with three ingredients (architecture, compute and data) that no single lab fully controls, while Andy shares why his own views on AI safety have shifted in recent weeks. Hosted on Acast. See acast.com/privacy (https://acast.com/privacy) for more information.

Inside a recent episode

Are Businesses Pointing AI at the Wrong Problems?

Published 10 Sept 2026 · Transcript excerpt

[…] Francis, could you give like a real world example for an SME business that would be looking at automating a process? What would that look like realistically when you talk about back office processes versus what it means for them just to bring in, have co-pilot licenses and how they would just use them as and when required? Of course. So I'm not against giving your users seats and licenses to use these products. I do encourage this. But again, I think that the biggest return on investment is going to be in what can you automate of your back office. And a lot of these are going to be things around procurement, anything that has to be with reading and doing triage. […]

Who has been a guest on The AI Leader

Names identified in recent episode analyses. Showing up to five guests.

• Francis Beeson
• Megan Stamper
• Jocelyn Burnham
• Matt Higgs
• [Guest Name]

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Spotify

5.0 / 5

1 ratings

Podcast Authority Score: 9 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

19

Social presence

0

YouTube

0

Engagement

0

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Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

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