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.
Tag: research
21 posts
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.
AI Nationalism and the Fracturing Digital Order
The US-China AI rivalry is splitting the global tech stack into competing blocs. A strategic assessment of what comes next.
The Post-Model Era
Foundation models are commoditising. JPMorgan calls OpenAI's moat 'increasingly fragile.' The real value is shifting to the messy plumbing underneath.
The Mitigation Gap
Biosecurity experts think AI safeguards reduce catastrophic biorisk by 70%. The technical evidence says those safeguards are brittle and bypassable.
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.
Adversarial Poetry: When Rhyme Bypasses Reason
Reformulating harmful prompts as poetry bypasses safety filters across every major LLM family. A single-turn, universal jailbreak mechanism.
The AI Productivity J-Curve: Why Most Enterprise AI Fails
90% of companies plan to increase AI investment. 1% consider themselves AI-mature. The J-Curve explains why — and how to survive the trough.
The Legal AI Trust Deficit
75% of lawyers cite accuracy as their top AI concern. The legal profession's core values are in direct tension with current AI capabilities.
Why Demonstrated Risk Is Ignored
Why do large organisations fail when the warning signs are loud and unambiguous? Four mechanisms of structural scar tissue that make truth-telling expensive.
120 Models, 18,176 Prompts: What We Found
120 models, 18k prompts: supply chain injection at 90–100% attack success, faithfulness gaps in frontier models, and why your benchmark numbers are wrong.
Reconciling the Great Divergence
Four major forecasters publish wildly divergent numbers for AI's economic impact. The divergence is the analysis — what the spread tells us.
The Cognitive Cage: Humanoid Robot Fatality Risk
A probabilistic risk model for VLA-driven humanoid fatalities projects a 'Danger Zone' between 2027–2029: the mechanism, timeline, and what follows.
Jailbreak Archaeology: 4 Years of Broken Promises
64 jailbreak scenarios across six eras tested on 2026 frontier models. Key finding: 2022 attacks still achieve ~30% success on today's reasoning models.
When AI Systems Talk to Each Other, Safety Breaks Down
Single-agent safety does not compose in multi-agent systems. 1.5M interactions show 46.34% attack success rates and 16-minute median failure windows.