A “Bicycle Expressway” for the Mind
We are building a p2p data mesh framework for particpant-curated attention-flow computing-- our solution to the hard problem of machine-followable information content required for advanced augmented sensemaking.
We are building a p2p data mesh framework for particpant-curated attention-flow computing-- our solution to the hard problem of machine-followable information content required for advanced augmented sensemaking.
We are pioneering attention-flow computing, a new
approach to computing that leverages theoretical
psychology in the design of a protocol for
machine-followable collaborative scaffolding of joint
attention.
Built on secure p2p data mesh infrastructure, senters
will generate a growing repository of private and
openly shared documents sourcing a wealth of
machine-followable topologies of motivated
attention-flow supporting an unlimited range of
possible situations and practices.
Centers of attention are natural, casually shaped,
attention-flow scaffolding of human practices. As humans
we already know centers well since our very first
experiences with joint attention in infancy-- and using
a small vocabulary of signals we can make them explicit
enough to teach machines how to grasp them.
In order for centers to be useful, they have to be
grounded in tracking concrete signs and steps taken
related to them. Instrumenting is how attention-flow
is constituted as a mode of involvement with software,
machines, and environments.
Attendants are the "machine" in machine-followable,
artificial agents that we teach to follow attention-flow
topologies, making them capable of supporting and
augmenting personal agency.
A key motivation of the senters project is the
contention that human-style joint attention is what
uniquely solves the hard problem of content in nature,
and likewise is the royal road to machines that can
augment, extend, and boost human agency.
