AI Delegates Learn From Users’ Behavior

[cryptohog]

Near’s AI delegates will be trained using voting history, Telegram/Discord interactions, and direct interviews with users. Early models, similar to chatbots, will advise and provide context on proposals, with gradual rollout planned to represent larger groups first, eventually moving toward individualized delegates for each member.

[Nahid Hossen]

NEAR’s Governance Shift:
AI delegates will learn from community voting history, chats, and interviews to advise on proposals. Rollout starts with group reps before scaling to personal AI delegates.

[Abdul Khan]

Decentralized Future:
NEAR is training AI delegates on member input from Discord, Telegram, and voting records. The goal: smarter, scalable governance that could one day give every user their own AI rep.