Cinchor
The current state of in-market autonomous AI is “want something done; trust that they do it”. The operation running the models hold all of the logs, and 1st party logs are inherently not the strongest. It’s: “I did my homework, I graded my homework.. my homework got a passing grade. Trust”. Cinchor is the lightweight tool that operations can use to share verifiable records of autonomous agents’ context, instructions and output. The proofs are anchored and retrievable in a tamper-evident manner (I built a custom L1 as a substrate for this and right now I operate all of the validators. There’s zero token-exposure for the AI accountability layer, while validator independence is on the roadmap). Looking for input from the HN community. Where is this redundant with something you already use, if so?