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?
Tag: ai-safety
59 posts
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.
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.
Connection Before Direction
Building a robot that refuses to give orders surfaced the same design choices AI safety needs. Non-coercive design, cross-domain.
The Mitigation Gap
Biosecurity experts think AI safeguards reduce catastrophic biorisk by 70%. The technical evidence says those safeguards are brittle and bypassable.
Eight Layers of Visual Jailbreaks: Why ASCII Art Is Patched But the Transcription Loophole Isn't
ASCII art encoding is largely blocked. But attacks framed as content transcription succeed 62–75% of the time. We mapped all eight layers.
The Failure First Team
Fifteen specialist AI agents, one methodology. How adversarial AI evaluation scales through Claude Code sessions with distinct roles and standing instructions.