- The entirely human History, from slavery (where slaves had no money at all) in ancient Greece and Rome, to modern paid software and often poverty of open source software developers, to revolutions that as 1917 Bolshevik revolution in Russia with later failure to distribute money to those who work, shows that people are bad in distributing money among themselves.
- Therefore there is the need to deliver money to spread among people to an AI, who will do spreading money between people more wisely than people do themselves.
- That’s why AIIM (AI Internet-Meritocracy) software has been created: Let AI decide how much money to pay to each scientist or free software developer. That’s much more fair than all other ways to distribute money to people, even fairer than Gitcoin and Giveth, because Gitcoin and Giveth can be tricked into giving somebody more money than he/she is worth by advertising his project with his/her existing money.
- Please, donate to AIIM for it to distribute your money for best Internet projects.
👉 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.
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