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Getting your Trinity Audio player ready...
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I Vibe-coded a draft patch for ZenDB to do resource-intensive database upgrades. When it will be merged (after successful transition to non-draft stage), we will have all necessary components to rewrite AI Internet-Meritocracy (AIIM) as a fully on-chain ICP blockchain app. This will allow to switch from custodial (as in the current beta) to non-custodial wallets and give away control over AIIM to an SNS DAO.
Support Independent Science
Our flagship product, AI Internet-Meritocracy, is an app (in the stage of open beta-testing) designed to allocate donated funds to researchers and open-source developers using AI-assisted evaluation of documented contributions. Payments depend on available funds and eligibility requirements.
Help fund the proposed five-month public test of AIIM’s allocation model with distribution of $1000 to real salary rece[p[ients. Support the next testing milestone.
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.
Help valuable research and open-source infrastructure move forward. Please make a donation to support independent scientists and free software developers.
Disclaimer
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.
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