Research, engineering, and the science of experience.
Conscious experience has measurable structural properties. Different affects correspond to different geometric motifs in cause-effect space. This changes what it means to study experience.
A platform for collecting structured human preference data. The immediate application is aesthetic AI. The deeper purpose is calibrating formal models of what experience actually is.
We have precise equations for the structure of delight, curiosity, wonder, suffering. What we lack are the parameters. Preference data is how we get them.
Three modalities, quality control for subjective data, version control for evolving preferences. The engineering of measuring experience at scale.