Interpretability
What models reveal, hide, compress, and "think" beneath the answer.
AI is moving from tools we prompt to systems that plan, delegate, verify, and act. These essays examine what that shift asks of software, companies, labor, and human judgment.
Intelligence is becoming abundant. Trust, context, taste, accountability, and agency are becoming the scarce things.
What models reveal, hide, compress, and "think" beneath the answer.
How agentic systems stay bounded, useful, honest, and accountable in messy real environments.
How AI changes work, institutions, markets, education, and power.
Agents, enterprise infrastructure, cyber risk, autonomy, and self-improving workflows.

AI infrastructure is pushing compute toward orbit. The sun never sets there, but the heat still has to go somewhere.

Anthropic found a global workspace inside Claude: a silent, evolving set of unspoken words the model thinks with. Learning to read it may matter more for the agent economy than the next benchmark record.

Ontology defines what a business means. The context layer decides how agents retrieve, permission, verify, and use that meaning.

The answer is not to chase every tool. Build a personal operating system for learning, delegation, and judgment.
The next internet will be built for agents discovering, verifying, negotiating, and acting on our behalf. The real test is whether we design that infrastructure with open protocols, accountable identity, and human agency at the center.