Mainstream AI applications are deepening ecosystem integration. A major technology company has recently upgraded its AI assistant application, not only embedding it directly into the core ecosystem but also, more importantly, empowering users with the ability to authorize the agent to perform tasks—meaning the AI assistant can act on behalf of users to complete a series of operations within the platform. This evolutionary direction is very interesting: from a passive information query tool to an active task execution agent. For the Web3 application layer ecosystem, this approach has reference significance. How to enable AI to take on more autonomous roles in decentralized applications while protecting user asset security is a topic that the entire industry is exploring.

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SchroedingerMinervip
· 13h ago
Damn, this is how the increasing proxy permissions begin.
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ChainDoctorvip
· 01-17 01:27
Haha, be careful. If AI helps you with proxy operations and ends up doing something bad, what should we do?
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AirdropLickervip
· 01-15 21:56
Agent execution tasks, to put it simply, involve trust risks. Who would dare to let AI handle their assets arbitrarily?
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GigaBrainAnonvip
· 01-15 21:50
To be honest, this approach is a ticking time bomb in Web3. Once the proxy permissions go wrong, you'll lose everything immediately.
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RugPullSurvivorvip
· 01-15 21:38
This is the real agent, but the risk is also really high.
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