NOMARK is a newsletter arguing that organisations deploying AI in regulated or high-stakes work should separate model quality from permission to act, and should narrow the job before measuring benefit. Each issue uses concrete cases such as NESO's reserve-setting trial and a Quebec court's judge pilot to set out practical operating design principles.
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Essays by a data and AI strategy advisor on making data and AI work in organisations, drawing on his grocery retail career. Pieces cover where AI efficiency gains actually become value, how vendor compliance claims fail in practice, and how measurement changes silently distort data.
This newsletter extends a book on AI and cybersecurity with essays on evaluating, governing, and deciding when to delegate work to AI systems. Each issue offers a practical framework for security leaders, such as separating capability from delegability and autonomy from authority.
Jennifer Kinne writes long-form essays on governance and accountability in AI and science, unpacking concepts like information-theoretic coherence and critiquing overhyped research findings. Each issue offers a single deep argument with worked definitions, case examples, and careful attention to what studies do and do not show.
Helen Toner's Substack on navigating a world with very advanced AI, covering the vagueness of AGI definitions, AI jaggedness, and the risks of personalized AI. Readers get careful, expert-informed argument about AI capabilities and governance, with occasional guest essays.
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