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.
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Supporting independent science is not only a matter of fairness to researchers whose expertise and work are often underfunded. It is also essential for addressing systemic failures in scientific publishing that delay discoveries and leave important results unnoticed. In science and software, even one missing component can prevent an entire system from working.
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Independent review
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Experimental-system notice: AI Internet-Meritocracy is an experimental funding system. Its AI-generated evaluations are heuristic judgments based on available public or connected-account evidence; they are not validated measurements of a person’s causal economic or scientific impact. Payment transactions are already recorded on-chain and can be verified on the blockchain. The current beta initiates payments off-chain through Node.js and uses custodial and administrative components. Decentralized governance and non-custodial wallets remain under development; on-chain payment records are already available. Evaluations may contain factual errors or biases and should be interpreted together with audit logs, appeals, human oversight, and published test results.