Recently, many people have been discussing a new project in the AI field. We did some digging and found that what it does is actually quite significant.
Simply put, it's a "verifiable AI reasoning protocol" — enabling each step of AI output to generate cryptographic proofs, ensuring results are transparent and auditable. Compared to the current black-box problem in AI, this solution is quite targeted.
What scenarios can use this? Robotics, autonomous agents, and situations requiring decision traceability, as well as the financial sector where risk control requirements are extremely strict. Essentially, it's installing a "trusted camera" on high-risk decision-making pathways.
In terms of financing, it has already reached a scale of $6.3M. From a technical perspective, this type of "verifiable AI" is indeed a noteworthy direction for the intersection of Web3 and artificial intelligence.
Recently, many people have been discussing a new project in the AI field. We did some digging and found that what it does is actually quite significant.
Simply put, it's a "verifiable AI reasoning protocol" — enabling each step of AI output to generate cryptographic proofs, ensuring results are transparent and auditable. Compared to the current black-box problem in AI, this solution is quite targeted.
What scenarios can use this? Robotics, autonomous agents, and situations requiring decision traceability, as well as the financial sector where risk control requirements are extremely strict. Essentially, it's installing a "trusted camera" on high-risk decision-making pathways.
In terms of financing, it has already reached a scale of $6.3M. From a technical perspective, this type of "verifiable AI" is indeed a noteworthy direction for the intersection of Web3 and artificial intelligence.