Writing
Reasoning in public, so it can be checked. What AI will actually change, and how to use it well, written for the people deciding.
On machine consciousness
Seven Tests for Consciousness: A Practical Framework for Evaluating Conscious Systems
Existing frameworks for evaluating consciousness, including IIT, GWT and HOT, are hard to test or incomplete. This paper proposes seven binary, independently testable criteria: open system, systemic state, irreproducibility, continuous capacity, multi-modal learning, integrated and integral memory, and superposition. It predicts that classical binary hardware cannot meet the conditions for consciousness, that bees qualify while jellyfish do not, and that AGI requires substrates capable of genuine superposition.
Why Today’s AI Is Not Conscious: Applying the Seven Tests
The follow-up: the seven tests applied to large language models, one at a time, with the reasons each one fails.
AI
AI engineering
System design
- React Added Redux. It’s Called useReducer.
- Stateless Relay Node Resolution with UUIDv7 and Ent
- Python-like Error Handling in TypeScript
- Backend Architecture for Moving Fast
- What Concurrency Actually Means, Explained with Rust
- Localhost, 127.0.0.1, or 0.0.0.0?
- Why You Should Probably Not Use MongoDB
- The Anatomy of a JWT