Help fund the future of science by donating to the re-publishing of research on ordered semigroup actions and other scientific “coveries”. Learn why this vital area of research is so important, and how your donation can make a difference.
Read here, why this topic in mathematics is super-important.
The actions of ordered semigroups have far-reaching implications for many fields of science, including physics and computer science. Unfortunately, the lack of funding has hindered progress, and we need your help to make things right.
Every donation, no matter how small, can make a difference. Your contribution will help to unlock the full potential of ordered semigroup actions and use them to solve some of the world’s most pressing problems.
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Imagine a world where scientific progress is not hindered by lack of funding. That world is possible, and it starts with your donation. Help us advance the field of ordered semigroup actions and make a difference in the world of science.
Thank you for your attention, and we hope that you will donate today.
👉 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.