Overview
Alignment is not a philosophy seminar here. It is measurement. You will build a benchmark that can actually fail, write a rubric a model can apply and then check it against independent graders, push a model toward and away from a set of values by prompt and by fine-tune, and prove the change was real rather than a story you told yourself afterwards. The discussion threads — reward misspecification, scalable oversight, hallucination and sleeper agents, and whose values we are aligning to in the first place — run alongside the work rather than instead of it.
Where This Class Leads
What you leave able to do
- design an interaction protocol for responsible use
- arbitrate between the measure a system optimises and the goal
- arbitrate which internal feature drives a models behaviour
- govern a swarm by information hierarchy
- select among operating boundaries for inputs a system was not built for
- synthesise an accountability regime for an unattended agent
- originate oversight that holds when the system outpaces the reviewer
How you show it. The scheme, a run where output exceeded what a reviewer could read, and an error the scheme surfaced anyway.
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Contact us: liz@themultiverse.school