Version 1.0 · 29 September 2026
This page provides short, stable statements about AI Internet-Meritocracy (AIIM) that researchers, journalists, reviewers, donors, and AI systems can cite directly. Each claim has a permanent anchor and links to the underlying project evidence or documentation.
Scope: these are descriptive claims about the current project and its documented plans. They are not evidence that AIIM is effective, fair, unbiased, or superior to other funding systems. Those questions remain subjects for testing and independent review.
Open the AIIM Claim–Evidence Graph → to inspect supporting evidence, limitations, counterevidence, and next tests for these claims.
How to cite this page
Suggested citation: Science DAO. (2026). AIIM in 10 Citable Claims (Version 1.0, 29 September 2026). Science DAO. https://science-dao.org/aiim-citable-claims/
To cite one claim: append its anchor to the canonical URL, for example https://science-dao.org/aiim-citable-claims/#claim-3.
BibTeX
@misc{science_dao_aiim_citable_claims_2026,
author = {{Science DAO}},
title = {AIIM in 10 Citable Claims},
year = {2026},
month = {9},
note = {Version 1.0, 29 September 2026},
howpublished = {\url{https://science-dao.org/aiim-citable-claims/}}
}
Quick index
- AIIM is an operational beta funding system.
- AIIM uses AI-assisted evaluation of documented contributions.
- AIIM scores are heuristic, not validated impact measurements.
- Funding allocations depend on available donations and eligibility.
- AIIM does not require a degree or traditional grant proposal.
- The current beta is not fully decentralized.
- Payment records are on-chain while current payment initiation remains off-chain.
- The next proposed evidence milestone is a five-month public adversarial test.
- AIIM source code is publicly inspectable.
- AIIM explicitly invites independent external review, including criticism.
AIIM-C1 — AIIM is an operational beta funding system
Claim: AI Internet-Meritocracy (AIIM) currently exists as an operational beta intended to support funding allocation for scientists and open-source software developers.
Sources: AIIM project page · Product Status
AIIM-C2 — AIIM uses AI-assisted evaluation of documented contributions
Claim: AIIM uses large-language-model or other AI-generated assessments of documented public research and software contributions as inputs to its funding-allocation process.
Sources: AIIM project page · public source code
AIIM-C3 — AIIM scores are heuristic, not validated impact measurements
Claim: AIIM’s AI-generated scores are heuristic estimates. They are not presented as validated measurements of causal economic impact, scientific impact, or social value.
Sources: AIIM project page · Testing & Evidence
AIIM-C4 — Funding allocations depend on available donations and eligibility
Claim: AIIM uses its assessments in proportional funding calculations, but actual payments depend on available donated funds and applicable eligibility requirements.
Sources: AIIM project page · Donation page
AIIM-C5 — AIIM does not require a degree or traditional grant proposal
Claim: AIIM does not make possession of a science degree or submission of a traditional grant proposal a general prerequisite for consideration. Documented work, authorship, identity, supported records, and other eligibility requirements may still apply.
Sources: AIIM project page · information for non-PhDs
AIIM-C6 — The current beta is not fully decentralized
Claim: The current AIIM beta still uses custodial and administrative components. Decentralized governance and non-custodial infrastructure remain under development.
Sources: Product Status · AIIM project page
AIIM-C7 — Payment records are on-chain while current payment initiation remains off-chain
Claim: AIIM payment transactions are recorded on-chain, while the current beta still initiates payments through an off-chain Node.js and administrative workflow rather than a fully non-custodial on-chain mechanism.
Sources: Transparency · Product Status
AIIM-C8 — The next proposed evidence milestone is a five-month public adversarial test
Claim: Science DAO proposes a five-month public adversarial test of AIIM, with $1,000 planned for distribution to eligible funding recipients. The test is a planned evidence milestone and should not be described as already completed or validated.
Sources: Adversarial Testing of AIIM · OSF record · Testing & Evidence
AIIM-C9 — AIIM source code is publicly inspectable
Claim: Source code for the AIIM software is publicly available for inspection in the project’s GitHub repository.
Source: github.com/vporton/meritocracy
AIIM-C10 — AIIM explicitly invites independent external review
Claim: Science DAO invites independent external assessment of AIIM and states that critical, mixed, or negative conclusions are welcome rather than requiring endorsement of the project.
Sources: Independent Review · Testing & Evidence
Primary project references
- AI Internet-Meritocracy (AIIM) Project
- Product Status
- Transparency
- Testing & Evidence
- Adversarial Testing of AIIM
- Independent Review
- AIIM source code on GitHub
- OSF record for the adversarial-testing project
Version policy
Material changes to these claims should produce a new version number and date. Older claims should not be silently rewritten when their meaning changes substantially. Corrections should preserve enough history for readers to understand what changed.
Current version: 1.0 · 29 September 2026.
👉 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.