Wearing the Agent: From Group Chats to Glasses — Sai Krishna Rallabandi
Sai Krishna Rallabandi spent eight months investigating what goes wrong when AI agents transition from working for a single person to operating in group chats or smart glasses.
The core challenge is that agents must track who said what during extended conversations without wasting tokens, while preventing information leakage between users. He demonstrates that two individually secure features can become insecure when combined, and proposes a solution where the agent reads everything, creates guards, then fine-tunes a smaller model with personal filters that show only relevant information and block prompt injection attacks.
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