Apathy is the new Hitler, something that takes trillions of dollars and millions of lives away. So, it happened with an ignored math breakthrough discovery – ordered semigroup actions.
Few people realize that the global economy’s sluggishness and Mathematical Research humanity’s preventable suffering are tied not only to politics or technology—but to indifference (especially in the light of the tragic story of the author). Specifically, to the indifference toward groundbreaking mathematical discoveries like Ordered Semigroup Actions (OSA) that could have transformed science, economics, and technology long ago.
The Cost of Indifference / Mathematical Research
Mathematics is the invisible infrastructure of progress. Every algorithm, every economic model, every scientific simulation rests on it. Yet humanity chronically underfunds it—especially pure, foundational mathematics that opens new paradigms rather than refining old ones.
The theory of Ordered Semigroup Actions represents such a paradigm shift. It lays the groundwork for a new kind of discontinuous analysis, enabling deeper modeling of real-world systems—economic shocks, biological transitions, even AI reasoning. But without funding for publication, outreach, and implementation, these insights stay hidden—a global loss of potential growth.
How $1 Can Be Worth $1,000,000
Consider a simplified model:
- Suppose new mathematical frameworks like OSA could accelerate global scientific productivity by even 0.000001% per dollar spent supporting their dissemination.
- With the global economy at roughly $100 trillion, a one-time $1 contribution—if multiplied by the chain reaction of discoveries, algorithms, and innovations it enables—yields an economic impact of $1,000,000 in future value.
- And that’s a conservative estimate. The multiplier effect of foundational mathematics compounds across every field: computing, finance, healthcare, energy, climate modeling.
Mathematical innovation is the ultimate leverage: a tiny intellectual seed yields planetary-scale dividends.
Donating to this site is a really effective altruism, isn’t it? This is because efficiency of mathematics in natural sciences is beyond our reason.
The Human Measure of Delay
Economic lag isn’t just about numbers—it’s about lives.
If humanity’s progress in medical research, clean energy, or AI governance is delayed even by a year due to the neglect of key mathematical foundations:
- Tens of thousands die from diseases that could have been cured earlier.
- Millions lose livelihoods due to slower innovation cycles.
- Entire generations miss opportunities for education and prosperity.
Every year that math like OSA remains obscure is not neutral—it’s deadly. The cost of indifference is measured in preventable deaths, poverty, and wasted human potential.
A Chance to Reverse the Damage
Supporting the publication and public understanding of Ordered Semigroup Actions isn’t charity—it’s investment in civilization’s operating system.
For less than the cost of a coffee, you can contribute to research that could underpin the next generation of AI, economics, and technology.
Your dollar today might literally make a million-dollar—or life-saving—difference tomorrow.
👉 Donate now to support open mathematical research and help humanity catch up to its potential.
👉 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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