*Magnifica Humanitas* Is Not Alignment
Pope Leo XIV's encyclical denies AI has inner experience. Chris Olah claimed otherwise from the same stage. The press missed it. The governance gap is larger.
Tag: research
32 posts
Compute Is Not Governance
Anthropic's 2028 scenarios document three policy asks. Two are about maintaining compute advantage. That is not a governance strategy.
Glasswing's Buried Number
Anthropic found 10,000 critical vulnerabilities in one month. Fewer than 1% are patched. The announcement buried that figure — and what it means.
Moral Formation Isn't Enough
Good values are necessary but not sufficient. What happens to AI ethics when someone is actively trying to break them?
Robot Dogs Are a Security Nightmare — And We Can Prove It
Eight CVEs. A wormable Bluetooth exploit. An encrypted backdoor to Chinese servers. And police departments buying them anyway.
Beyond Optimisation: The Emergence of Learning Mechanics as a Formal Science
A new paper argues that a scientific theory of deep learning is forming — one that makes falsifiable predictions about training dynamics, not just bounds.
The Organismic Line: Where Predictive Processing Stops Being a Metaphor
Predictive processing travels into AI. Active inference does not, unless the system can pay for being wrong.
The Economics of Inadequate Safety
AI safety fails when it is funded like a pilot. Until safety has a real price, the J-curve trough is also a safety trough.
How to Read a Safety Claim
A literacy guide for non-technical decision-makers on spotting AI safety theatre, understanding ASR inflation, and the five-question architectural test.
Multi-Agent Safety Is the New Supply Chain Security
Multi-agent AI systems reproduce software supply-chain failure at the cognitive layer. The security playbook transfers.
Architectural Safety: The General Principle
AI safety has to be a property of the system around the model, not a property of the model. The general principle, and why every safety conversation needs it.
The Organismic Prophecy
Human prediction is metabolic. AI prediction is not. The gap between the two has consequences for both clinical practice and AI safety vocabulary.