Goals, Solutions & Value
Why human experience, values, and strategy must govern the goals that predictive systems pursue.
Writing
Ideas with enough structure to navigate.
Essays about AI, ontology, software systems, and the economics of knowledge work.
01 · Six-part sequence
AI Factory series
Read the foundations first, follow them into the Knowledge Factory, then continue through its ontology and cognition.
01
02
Truth, Entropy & Inference
Why some language reliably predicts useful answers — and some only predicts what a useful answer sounds like.
03
The Understanding Bottleneck
When plausible output becomes abundant, shared understanding limits progress.
04
The Knowledge Factory
Every company is building a factory. The decisive choice is whether engineers receive instructions or redesign the system that turns evidence and intent into outcomes — and the strategy discipline that chooses which outcomes to pursue.
05
Ontology Factory
The factory's ontology is not a diagram in a wiki. It is the structure of the repository itself — ownership visible from every path, dependencies flowing toward more foundational layers, and contracts that make the map checkable.
06
Cognitive Factory
The factory's cognition is not a model subscription. It is relational context, executable contracts, and a compounding loop that turns outcomes into capability.
02 · Independent essays
Other writing
Arguments and field notes that sit outside the factory sequence.
01
AI's Consciousness explanation
Machine consciousness claims become coherent only when they name a theory, a discriminating measure, and a validated bridge to phenomenal experience.