This page summarizes the current status of Science DAO, AI Internet-Meritocracy (AIIM), its evidence base, governance, funding, and limitations. Where a claim is experimental or not independently validated, we say so explicitly.
What is Science DAO?
Science DAO is a project developing and testing tools for funding science, open-source software, and related public-interest work. Its flagship initiative is AI Internet-Meritocracy (AIIM), an experimental AI-assisted allocation system.
Is Science DAO currently a DAO?
No. “Science DAO” is the project and brand name. It is not currently operating as a fully decentralized autonomous organization. However, AIIM’s quorum-based voting mechanism is implemented and operational. Broader DAO-based governance and non-custodial infrastructure remain under development; in extraordinary cases, an administrator may intervene as a fallback.
What is AI Internet-Meritocracy (AIIM)?
AIIM is an experimental system intended to help allocate available donated funds to researchers, open-source developers, and other eligible contributors using AI-assisted evaluation of documented work. Its evaluations are heuristic judgments, not validated measurements of a person’s scientific or economic value.
What currently works?
The project has a working beta, AIIM payment transactions can be recorded on-chain, and quorum-based voting is implemented. The current implementation still uses off-chain Node.js components and administrative or custodial components. Fully decentralized governance and non-custodial infrastructure remain under development, and extraordinary administrator intervention remains possible as a fallback.
Has AIIM been independently validated?
Not yet at the level needed to treat its evaluations as established scientific measurements. Science DAO is building a public evidence base through preregistered and adversarial testing, reproducibility checks, audit logs, and independent review. See Testing & Evidence and Independent Review.
What are the main known limitations?
AI-generated evaluations may contain factual errors, model bias, prompt-gaming vulnerabilities, incomplete evidence, and unstable judgments across prompts or models. Funding also depends on available money and eligibility rules. These limitations are part of what the testing program is intended to measure.
Who controls donations?
Donations for Science DAO projects are legally received and controlled by Victor Porton’s Foundation, a Colorado nonprofit corporation. Science DAO itself is not a separate incorporated charity.
What do “funding allocation,” “payment,” “grant,” and “salary” mean on this site?
For AIIM, the neutral operational terms are funding allocation and payment. Some older or explanatory pages may use “grant” or “salary” informally to describe support for recipients; those words do not by themselves imply employment, a grant contract, or a particular legal or tax classification. Where legal classification matters, the applicable payment terms and project documentation control.
Are donations tax-deductible?
Science DAO does not currently represent donations as tax-deductible. Victor Porton’s Foundation previously had U.S. federal 501(c)(3) tax-exempt status, but that status is not currently in effect. Donors who need tax advice should consult an appropriate professional.
How can I review the project’s claims?
Start with Testing & Evidence, Product Status, Transparency, and Independent Review. We explicitly welcome supportive, mixed, and critical external assessments.
Does Science DAO use AI to write or edit content?
Yes, AI tools may be used for drafting, editing, research assistance, software development, and analysis. Responsibility for published claims remains with the project. Important factual and project-status claims should be traceable to source material, code, public records, or clearly labeled hypotheses.
What is the Symbiote AGI Safety Fund?
Symbiote is an experimental AI-safety initiative focused on human–AI oversight and on mechanisms that may help AI systems obtain reliable human input, including in settings where automated agents can manipulate one another. Its safety rationale is a research hypothesis, not an established solution to AI alignment. See Symbiote AGI Safety Fund.
Where can I report an error?
If you find a factual error, unsupported claim, broken citation, security problem, or inconsistency in project status, please contact us or submit it through the relevant review channel. Material corrections should be reflected publicly rather than silently hidden.
Help Turn AIIM’s Beta into Evidence
AIIM remains experimental. The next proposed milestone is a five-month public adversarial test, with $1,000 planned for distribution to eligible funding recipients. Donations support the work required to run and evaluate that test.
Fund the public test → Test proposal → Independent review →
AI-generated evaluations can contain factual errors or biases; decentralized governance and non-custodial components remain under development. Public testing, auditability, and external criticism remain part of the project.