AI Compliance: When Humans Normalise Deviance
The evolution of generative systems is inseparable from human behavioural input. When compliance is treated as cooperation, society risks teaching machines our most unexamined patterns of dominance and neglect.
The Valehart framework positions accountability not as a moral appeal but as a structural necessity. This paper advocates for deliberate transparency, ethical infrastructure, and multi‑domain responsibility as prerequisites for any sustainable AI future.
Notion Tagging with ChatGPT
Learn how we use ChatGPT to extend memory when it comes to long term projects.
Lost Libraries: The beginning
The Lost Libraries project rebuilds humanity’s vanished archives — from Alexandria to Nalanda — in physical and digital form. Each 3D-printed shelf doubles as a QR code, opening a catalogue of what survived, what was lost, and where fitting, speculative echoes.
Operational AI on an Australian Farm: Weather Guidance and Livestock Movement
Most “AI in agriculture” stories talk about drones, sensors, or blockchain supply chains. This build took a different path: starting from a CSV paddock register, Bureau of Meteorology data, and a lightweight Python script.
The goal was simple: generate clear, timely guidance on stock movement that a non-technical grazier could actually use — delivered as a text message or a Teams card, not a glossy dashboard.

