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.

Cheap output creates value when someone can accept the result. Measure AI productivity across the whole workflow, including review and recovery.

Personal AI is portable when useful context survives a change of provider. An export button is only the beginning.

An agent can get the task right and still get you wrong. Personal intelligence needs a mandate its owner can inspect and change.

A robot's purchase price is only part of its economics. The useful unit is an accepted physical outcome, with integration and recovery included.
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.