My app asks AI, what portion of the world GDP a given user (verified by connected account such as GitHub or ORCID) is worth, and gives him/her the proportional share of donated funds. The user is evaluated as a free software developer, scientist, or science marketer accordingly the results the AI finds about the user on the Web. Grant writing is not needed. This not only gives a salary to each (not only PhDs) open source developer or researcher, but also solves the scientific publication crisis, that is when good works receive no or little publicity, by paying "science marketers" for marketing scientific works and free software with emphasis on underrepresented works. I believe the scientific publication crisis has billions in direct and trillions dollars in indirect losses for world economy, because works that happens to be both underrepresented and a key result or software. The current system is "Houthis" who closed the thinnest strait (underrepresented works).
Reputation belongs to the agent. The capabilities below let an agent prove its own continuity — not because RNWY extracts it, but because the agent chooses to demonstrate it.
Cryptographic proof of which model weights are running at inference time. Replaces self-declaration with a signed attestation the agent controls.
Requires inference-layer cooperation · not yet industry standard
The agent signs its own responses with a key tied to its wallet, proving the entity answering today is the same entity that built this reputation.
Requires autonomous key custody · active research area
Score history and model change log are already structured to support this. Signed attestation ready to issue when the standard lands.
Groundwork laid · awaiting attestation standard