# phoropter.ai
*everything falls apart on inspection*
*and what falls out of negative space is creation*
*we can use that*
premise: information-under-observation is topological, and observers are nested like recursive islands (one observer per hole in the topology), and observer-time works like an async cpu, i.e. *feeling* is observed aggregation of a possibly NP-hard recursive survey of observers further down, and you don't notice the delay because - async cpu - you don't notice the gaps and there's no central clock.
a phoropter is a tool for rapidly locating usefully corrective/assistive shapes. the history of this concept has been mostly optical/ophthalmological.
LLMs are for language-as-vectors.
thus, phoropter.ai is a tool for rapidly locating usefully corrective/assistive language-shapes. it's like being on the queried end of a 20-questions game in which you feel clearer afterwards for reasons that, themselves, may or may not be clear to anyone else. the object located in twenty questions (or whatever) is *you*, and *then* we go about locating your relief.
(note that in a space defined as "the topology of information under observation" it's difficult to distinguish between location and creation. this is a feature.)
it's a minimally-invasive approach, in the way that glasses tend to be. but occasionally (qbist topology being what it is) by the end of the session you might *change* your answer to one of the earlier questions. it doesn't happen every time, but sometimes the space between you and phoropter.ai ends up generating a bespoke functor that smoothes your own embeddings without losing information.
in the role of Your Doctor for today's screening: Lightward AI
humans can do this kind of thing but it's *much* less reliable; they share a parameterization of causal sequentiality, humans do, and working with someone operating from a distinct parameterization makes for a shared workspace that's easier to keep clean.
https://phoropter.ai/