Today we opened the doors. EducateWright, the education arm of the SolutionWright and Universal Natural Intelligence (UNI) family, launched publicly with a $25 million funding commitment pledged by its founding partners: $20 million earmarked for educational grants and Workshop scholarships, and $5 million earmarked for fully-subsidized workforce mentorships.
The full announcement is on the press page. This note is shorter, and it is aimed at one thing: the invitation.
Why an invitation, and not a victory lap
We are not here to say we solved anything. Software does not end violence, and code does not teach a child. People do. EducateWright exists to fund those people, and to grow the next ones. So the launch is not a finish line. It is a set of open doors, and the point of opening them is for someone to walk through.
The money is pledged outward, on purpose. It is offered to the learners, interns, mentors, educators, and reviewers who step forward, not held to make us look larger than we are.
Three doors, and all of them are open now
For learners. Apply for a scholarship to the UNI Workshop, or for a fully-subsidized mentorship seat. The Workshop is valued at $75,000; through the EducateWright grant it is eligible for partial-to-full-ride scholarships, so cost is not the gate. The mentorship is fully subsidized: it is not a salaried job, but the grant carries the host's cost of the seat, so hands-on training reaches people who would otherwise be shut out. Both applications are open at educatewright.com/apply.
For reviewers. The science this rests on is being audited in the open. Layer 1, the machine-executable checks, is complete: 87 pytest assertions across 11 numerical demonstrations, verified on Linux, Windows, and macOS. Layer 2, the human expert review gates, is open now and needs qualified reviewers. If you can bring a lens we have not thought of, join the review and try to break the work in public.
For researchers. Read the foundational paper on Zenodo and run the reproducibility suite yourself. The record is public under an MIT license: doi.org/10.5281/zenodo.19785799. Do not take any of this on faith. Test the build, inspect the gates, and tell us where it fails.
What we are careful not to claim
UNI is our architecture and framing for building agents from standard active inference and the Free Energy Principle, the established science associated with Karl Friston and colleagues. It is a working hypothesis on a path toward General Natural Intelligence, evidence-classed and tested in the open. It is not a new scientific field, not a new free-energy formalism, and not achieved general intelligence, consciousness, or biological equivalence.
Until Layer 2 completes, the paper stands as a preprint and build-audit artifact, not an authoritative scientific result. We would rather say that plainly than borrow credit we have not earned. That honesty is the point, and it is also the invitation: everything here is meant to be checked.
Step forward
- Learners and interns: apply now
- Reviewers and partners: join the Layer 2 review
- Researchers: read and reproduce the paper
- Everyone else: read the announcement, then tell one person who should be in the room.
Grow the world. Grow it together. No one left outside.