Automating Human Learning
We are building self-driving technology for learning: non-invasive systems that raise attention and understanding without asking humans to burn proportionally more energy.
Problem
Low ROI Learning
For most people, learning is physically and mentally expensive. Attention, retention, and deep understanding still require too much effort for the output they get back.
Vision
Self-Driving Learning
We are building non-invasive technology that guarantees the same or more human learning with significantly less physical and mental effort.
Goal
More Attention, Same Energy
Increase attention markers without a proportional energy cost to the user, then compound that into a full automation stack for human learning.
Knowledge tomography, then knowledge induction.
Self-driving learning needs two complementary layers. First we measure what an entity currently holds; then we steer transformation toward useful configurations with less wasted effort.
Measurement
Knowledge tomography
Knowledge tomography is the family of methodologies that prompt human as well as agentic entities to try to reproduce their state of knowledge—multi-angle projections of what is held, missing, and transferable, not finals alone.
Long-horizon aim
Knowledge induction tech
Knowledge induction is the longer-horizon aim: technology that guides transformation through knowledge configuration space—raising proximity to useful states without asking minds to burn proportionally more energy. Tomography measures; induction transforms.
We keep the two distinct on purpose. Tomography externalizes and reconstructs current state. Knowledge induction tech uses that measurement to steer learning. Without tomography, induction is blind steering; without induction, measurement never compounds into self-driving learning.
Current projects using Uncertain Systems work.
Participate in the Uncertain Systems ecosystem.
We created $UNSYS on Solana so trading fees can help fund this project — staking, revenue sharing, referrals, and data-provider rewards all flow back into the learning automation stack.
Token CA
Dza3Bey5tvyYiPgcGRKoXKU6rNrdoNrWNVmjqePcpumpProgram
GSxEFVkssh6trQ97WZBsMGs1iahdJ6Z2fSPjQ617nKLNTokenomics & Rewards
| Program | Stake Required | You Earn | Lock / Effort |
|---|---|---|---|
| Passive Dividends | Any amount | Pro-rata USDC each epoch | 3mo (1.1x) / 6mo (1.25x) / 12mo (1.5x) |
| Referral Partner T1 | 1,000,000 UNSYS | 10% lifetime rev-share | Refer users to earn |
| Referral Partner T2 | 2,000,000 UNSYS | 30% lifetime rev-share | Refer users to earn |
| Referral Partner T3 | 5,000,000 UNSYS | 50% lifetime rev-share | Refer users to earn |
| Data Provider | 5,000,000 UNSYS + data | 80% of own token fees | Requires admin validation |