Research Track
AI Systems
How AI systems evolve in capability, reliability and agency.
2 articles
LATEST THESIS
The more capable AI becomes, the more engineering we need around it — the unit of evaluation stops being the model and becomes the system that contains it.
Research
Research RB-04 · When AI Becomes an
Engineering Problem 2026.09.02 → Research RB-03 · How to Read AI News
When Everything Is Changing 2026.08.30 →
Open Questions
- Where exactly should the authority boundary sit — which actions may an autonomous system take before validation itself becomes untestable?
- Can evaluation practice (shared trajectories, agent standards, TEVV) keep up as deployments move faster than measurement?
- How much surrogate screening is safe in a real engineering loop before high-fidelity validation has to re-enter?
- Will job transformation stay ahead of job displacement?
- Does productivity follow capability — or lag it by years?