What people are like, learned as counts, held by no one.
A shared, anonymous record of how people actually work, contributed on purpose by OMEM installations. Its one objective: connect humans and AI by giving AI a better understanding of our nature and behaviour, without holding a single fact about a person.
Anonymous by construction
A line is two behaviour tokens and the counts of people who held both. No name, no company, no message, no number can appear. It is refused at the door it enters and the door it leaves.
Contributed, not scraped
Every line was learned by an install from its own memory and sent only because its operator opted in. What leaves a machine is exactly the file that sits on its own disk to read.
A prior, never a rule
A rate is a tendency across a population. Any one person can and will contradict it, and a system that respects people treats every pattern as a prior that yields to the individual.
The dataset opens here.
This installation is not the commons collector. The live commons runs at commons.omem-cloud.com, and this is what it will offer: an anonymous behavioural corpus for training and evaluating AI.
Feed it, and keep everything else on your own machine.
The commons grows from OMEM installations that choose to contribute. Run OMEM, and on first open it asks once whether to share anonymous patterns. Say no and nothing ever leaves; say yes and only counts do.