Featured
The TechTarget definitional reference piece on generative AI, written for SearchEnterpriseAI. Became the #1 Google result for "what is generative AI" during the technology's breakout year, and has remained one of the most-read explainers in the field. Read at TechTarget: https://www.techtarget.com/searchenterpriseai/definition/
Featured
A Diginomica essay arguing that AI can be usefully understood through Stephen Gilligan's distinction between generative trance and degenerative trance. The piece traces three generations of AI deployment through that lens, draws a cautionary parallel to the rise and fall of NLP as a popular movement, and ends
Featured
A long-form Diginomica interview with Karl Friston, the neuroscientist whose free energy principle and active inference framework offer a different theory of intelligence than the one driving most current AI investment. Friston rarely sits for journalism interviews; this piece captures him on the record about why scaling compute and energy
Featured
This is peer-reviewed work, co-authored with researchers at TII's Secure Systems Research Centre. The paper surveys how generative AI changes the security and resilience picture for autonomous systems: threat modeling, anomaly detection, adversarial robustness, and the architectural implications of letting generative models sit inside safety-critical control loops. Read
Featured
A research paper co-authored with TII's Secure Systems Research Centre, drawing the distinction between autonomic and autonomous systems and arguing that zero-trust principles, originally developed for enterprise network security, can be adapted to govern multi-agent swarm systems where individual agents may be compromised, resource-constrained, or operating with incomplete