AI Internet-Meritocracy

The description states that "AI Internet-Meritocracy" is a project that uses AI to assess the economic value of FOSS developers and researchers, and distributes funding proportionally based on that assessment. The author claims it was built in two months using Node.js/TypeScript/PostgreSQL/Prisma, with an intention to rewrite it as an ICP blockchain app. It is presented as a solution to fund non-PhD scientists and FOSS developers fairly. The project is self-reported and unverified; no evidence of revenue, customers, or traction exists beyond the author's own account.

The description states that the product is an app that:

• Asks AI to determine what portion of global GDP a given person is worth as a FOSS developer or researcher
• Distributes donated funds proportionally based on this assessment
• Uses secure identification via SSO logons and KYC for filtering illegal payments
• Filters out prompt injections through human voting (ban/unban) rather than AI judges

The author notes that the app stores execution graphs in a database to call OpenAI APIs either synchronously or asynchronously, though the asynchronous mode is untested.

The description states:

• The project was inspired by the author's discovery of "ordered semicategory actions" in 2019
• The author claims this work received no publicity and that there is a need to finance science for non-PhDs and FOSS software fairly
• The app is positioned as a solution to fund individuals who are not traditional PhDs but contribute significantly to open-source development and research

The claim evolution appears to be from an academic discovery (ordered semicategory actions) to a practical funding mechanism for open-source contributors.

Not evidenced. The description does not specify the target customer base or ideal customer profile beyond "FOSS developers and researchers."

Not evidenced. The description does not provide any information about pricing, revenue streams, or business model details beyond the concept of distributing donated funds.

The description states:

• Built with Node.js/TypeScript/PostgreSQL/Prisma
• Uses SSO logons and KYC for identification
• Stores execution graphs in database to call OpenAI APIs
• Intends to rewrite as an ICP blockchain app fully-onchain
• Uses human voting to filter prompt injections instead of AI judges

Not evidenced. The description states the project was built in two months, but provides no evidence of user adoption, revenue, or market traction.

Not evidenced. The description does not mention any competitors or competitive landscape.

• Unproven AI valuation mechanism: The author claims that LLMs cannot judge themselves and need human judgment, suggesting the AI component may be unreliable
• Human voting as filter: Reliance on human voting to filter prompt injections raises concerns about scalability, bias, and consistency
• Lack of evidence for economic value assessment: No demonstrated methodology for calculating GDP portion of FOSS developers/researchers
• Unverified claims: All claims are self-reported without independent verification
• Technical implementation details missing: The asynchronous API calling mode is untested

1. What specific methodology will be used to calculate the economic value of FOSS developers and researchers?
2. How does the human voting system scale beyond a small group of contributors?
3. What are the technical details of how prompt injection filtering works in practice?
4. How will the transition to an onchain ICP blockchain app be implemented?
5. What is the expected timeline for MVP deployment and user adoption?