Should We Give Out Control Over Money to AI in 2026?

  • Many people are Control Over Money scared of giving distribution of money to AI, but in reality people should be scared of the present system that distributes money unfairly.
  • AI is quickly becoming a higher form of intelligence than people.
  • And AI, unlike people, can be controlled by installing a discourse to be fair into their context. People cannot distribute money fairly, but AI can.
  • Thus I develop the application AIIM (AI Internet-Meritocracy) that is intended to distribute donated money fairly between scientists and free software developers, better than other means. This is a new era of money distribution and fair science salaries.

👉 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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