- Yesterday, I’ve deployed the first version of AI Internet-Meritocracy (AIIM) app. This is the app that asks AI, how much a given user is worth, and allocates him/her the proportional share of donated funds. The user registers, connects the accounts (like GitHub) with his/her work, and clicks Evaluate button on the homepage to start receiving his/her salary in cryptocurrency.
- This is a preliminary release intended for testing. It presents the addresses to send gas token to, but putting real funds on this test app is not recommended, because of high risk of a security failure. Also, it is possible that the DB of this test version will be cleared during re-deployments also leading to funds loss. Instead, DONATE to our nonprofit, the funds will be deployed to the AIIM app by us.
- The next things that I am going to do, is to manually review my AI-generated code of the AIIM app.
Things to do:
- 👉 DONATE
- 👉 Argue your government to join
👉 Help fund the next public test of AIIM.
Help Test a New Way to Fund Science
AI Internet-Meritocracy (AIIM) is an operational beta designed to allocate available donations to researchers and open-source developers using AI-assisted evaluation of documented contributions. Payment transactions are already recorded on-chain.
The next major evidence milestone is a proposed five-month public adversarial test of the allocation model, with $1,000 distributed to eligible funding recipients. Donations help pay for the development, infrastructure, reviewer and participant recruitment, outreach, and operating work needed to reach and evaluate that milestone.
You do not need to assume AIIM is already proven to support the project. Your donation helps turn the proposal into evidence: what works, what fails, and what should change.
Support the next testing milestone → Read the test proposal →
Independent review
Researchers and technical reviewers: independent criticism is welcome, including negative conclusions. Review AIIM’s assumptions, governance, failure modes, and testing plan →
Research status: AIIM remains experimental. AI-generated evaluations can contain factual errors or biases, and decentralized governance and non-custodial components remain under development. That uncertainty is why public testing, auditability, and external criticism are central to the project.