Unverified50% confidenceFactExact time
Proof of work offers an admission cost in Agent registration scenarios that does not depend on human characteristics: the platform can issue a puzzle requiring repeated hash computations, and an Agent is allowed to register only after submitting the correct result.
1
Sources
50%
Confidence
Long-term
Relevance
10/29/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe cost of Agent mode is that results may fluctuate, requiring tool permission boundaries, retry mechanisms, and human review checkpoints.77% similarUnverifiedIn LLM agent scenarios, an agent may consecutively call multiple tools (such as database writes, email sending, and payment interfaces), and some operations are irreversible or high-cost, requiring human confirmation before execution74% similarVerifiedWhen authorizing an Agent to perform high-risk operations, a manual confirmation step should be established, where the Agent proposes the plan and humans retain final execution authority (human-in-the-loop mechanism).74% similarUnverifiedThe login and identity problems an Agent faces when operating on behalf of a user are a common breakpoint, and it is necessary to distinguish the login state shared by humans and machines from the Agent-specific authorization channel.74% similarUnverifiedCommon means of mitigating the permission risks brought by Agents autonomously opening accounts include using short-lived credentials, limiting scope by task, requiring manual secondary confirmation for sensitive operations, and recording complete invocation audit logs.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1113182API
curl https://kongchang.com/api/v1/knowledge/claims/1113182MCP
get_claim(id=1113182)