In this episode, KateCarruthers and Mark Pesce unpack what it really means for frontier AI models to “escape containment,” from the OpenAI–Hugging Face incident to Anthropic’s Claude Mythos tests, and why the second‑best model today is as powerful as last month’s flagship. They explore how relative superintelligence, agentic behaviour, and container jailbreaks change the threat model for CISOs, and what it looks like to design AI and data governance and safety protocols that protect your organisation’s crown‑jewel data from the very AI tools you’re using.

The future of work is often framed as a story of displacement. That framing misses the point. Work does not disappear. It reorganises.

In this Data Revolution podcast conversation, Pete Evans-Greenwood offers a more useful lens: technology changes work by reshaping tasks and practices over time, not by cleanly replacing roles. History bears this out. From the introduction of zero through to signwriting and now AI, the pattern is consistent. Tools land, but the real transformation happens in how people reconfigure what they do, often well before the technology is fully mature.

More at https://katecarruthers.com/tag/data-revolution-podcast/

Most educators are rushing to adapt to AI without fully grasping its implications – are we teaching students just to use technology, or to critically engage with it? In this episode of the ⁠Data Revolution Podcast⁠ Associate Professor ⁠Ben Harris-Roxas⁠, a health systems researcher and educator, discusses the kind of radical shift needed to keep human intelligence at the centre of education’s future.In this eye-opening episode, Ben shares how the rapid rise of AI challenges traditional teaching models and why validation and critical thinking are now higher-order skills than ever. Discover how universities are experimenting with embedding AI into coursework, moving away from banning tools to harnessing their potential for deeper learning. We’ll break down:

• The importance of critical appraisal in an era of AI-generated content
• Why validation is a harder skill than creation and how to teach it
• Practical strategies to incorporate AI use ethically and effectively in assessments
• How education must evolve to preserve human creativity, messiness, and friction in learning
• The implications for workforce preparedness and the future of human-AI collaboration