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‘🚀 Advanced Platform. Real Opportunities.
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‘Access deep liquidity, fast execution, and powerful order types. Start today.‘+
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‘From spot to advanced trading tools, unlock a professional-grade experience in minutes.‘+
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‘Set precise entries, manage risk, and act faster with pro features. Join now.‘+
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‘⚡ Speed, Depth, Control
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‘Tap into high-performance trading with robust charting and order execution.‘+
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‘💼 Built for Professionals
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‘Leverage advanced analytics and a wide selection of assets. Get started now.‘+
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‘📊 Precision Trading, Simplified
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‘Powerful charts, alerts, and order controls designed to help you execute with confidence.‘+
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‘🔒 Secure. Efficient. Professional.
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‘Experience a reliable environment to trade the markets your way—anytime.‘+
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AI delegates are autonomous governance agents that learn a user’s preferences to vote on behalf of DAO members, aiming to reduce voter apathy and speed decisions. Near Protocol’s AI delegates evolve from advisory chatbots to individual “digital twins” that cast votes aligned with member values.
AI delegates learn user behavior to automate DAO voting
Rollout is staged: advisory chatbots → group delegates → one delegate per member
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‘📈 Trade Smarter, Not Harder
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‘Advanced charts, precise orders, and real-time insights—start now.‘+
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‘💼 Built for Active Traders
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‘Access robust analytics, swift execution, and a wide range of markets.‘+
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‘⚡ Speed, Control, Precision
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‘Set entries, manage risk, and act on opportunities in seconds.‘+
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‘🧠 Pro Tools for Clear Decisions
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‘Alerts, order controls, and analytics designed for disciplined execution.‘+
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‘📊 Elevate Your Strategy
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‘From scalping to swing, harness data-driven trading with ease.‘+
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‘🔒 Reliable. Efficient. Pro-Ready.
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‘Trade your plan in a stable, high-performance environment—anytime.‘+
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‘🧭 Navigate Volatility with Confidence
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‘Use advanced order types and risk tools to stay in control.‘+
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Participation averages 15–25% in many DAOs; delegates aim to improve representation
AI delegates Near Protocol DAO: learn preferences, vote on behalf of members, reduce voter apathy — read how to prepare your account for delegate options.
What are AI delegates for Near Protocol DAO?
AI delegates are software agents developed for the Near Protocol DAO to represent member preferences in governance votes. They analyze user inputs and historical behavior to recommend or cast votes, aiming to improve low participation and make governance decisions faster and more consistent.
When the AI delegates rollout, it will be done in stages, with early models similar to chatbots, then representing large groups, and finally, each DAO member.
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‘⚡ High-Performance Futures Trading
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‘Trade with deep liquidity, precise controls, and real-time insights.‘+
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‘🧠 Smarter Strategies. Better Execution.
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‘Build positions with leverage responsibly and manage risk with pro-grade tools.‘+
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‘🚀 Futures Opportunities, 24/7
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‘Go long or short with confidence. Execute fast and stay in control.‘+
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‘📊 Precision Tools for Volatile Markets
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‘Set entries, define stops, and automate alerts for your edge.‘+
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‘💼 Built for Serious Futures Traders
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‘Institutional-grade charts, risk controls, and swift order routing.‘+
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‘🧭 Navigate Volatility with Control
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‘Hedge, speculate, and rebalance with flexible leverage options.‘+
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‘🔒 Secure. Efficient. Futures-Ready.
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‘Trade your plan with reliable execution and comprehensive analytics.‘+
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The Near Foundation is developing artificial intelligence-powered delegates to address low voter participation in decentralized autonomous organizations (DAOs). The goal is to turn routine governance decisions into near-instant computations by using agents that know member preferences.
Lane Rettig, a researcher at the Near Foundation specializing in AI and governance, told plain text press that the AI-powered governance overhaul is still in development. The Near Foundation oversees the layer-1 Near Protocol.
How will AI delegates be trained on user behavior?
Delegates are trained by combining explicit user inputs, voting history, and public messages on community channels. This includes interview-style onboarding, past vote records, and contextual signals from social platforms to model political and funding preferences.
Near intends to use a verifiable training approach that provides cryptographic proof of training cycles and inputs to maintain alignment and transparency. Industry data shows adoption of AI agents in crypto has accelerated: investment manager VanEck estimated over 10,000 agents by end-2024 and forecasted significant growth into 2025.
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‘📈 Trade With Confidence
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‘Spot, margin, and precision tools to take control of your strategy.‘+
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‘🧠 Smarter Tools. Better Decisions.
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‘Use alerts, depth analytics, and risk controls to act faster.‘+
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‘⚡ Fast Execution, Deep Liquidity
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‘Enter and manage positions with speed and precision—anytime.‘+
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‘📊 Precision Trading Made Simple
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‘Clean UI, powerful charts, and flexible order controls for your edge.‘+
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‘💼 Built for Active Traders
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‘Analytics, watchlists, and risk tools to support your plan—start today.‘+
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‘🔔 Never Miss the Move
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‘Set custom alerts, define entries and exits, and execute with confidence.‘+
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‘🔒 Secure. Efficient. Pro-Ready.
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‘Trade your strategy with reliable performance and comprehensive tools.‘+
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”
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Why will a human remain in the loop?
Near’s researchers emphasize a hybrid approach: AI can handle routine proposals, but humans will retain final authority on critical decisions like fund allocations or major strategy shifts. This preserves accountability and reduces the risk of catastrophic errors from autonomous agents.
Rettig stated that delegates can nudge users and recommend votes, but certain categories of proposals require human judgment to “pull the trigger.” This hybrid model aims to balance efficiency with responsibility.
When will the rollout happen and what stages are planned?
Rollout is planned in stages: early agents will function like chatbots providing context and draft votes, then agents will represent groups with shared preferences, and finally one agent per individual member may be offered. Each stage prioritizes safety, transparency, and verifiable training records.
Near’s main DAO already uses a sentiment and summarization tool called Pulse to surface important content and community trends. Early delegate models will have limited agency and focus on improving information flow and voter engagement before broader autonomy is allowed.
What risks and safeguards are being discussed?
Key risks include misaligned agent behavior, security vulnerabilities, and concentration of influence. Safeguards proposed include verifiable training logs, human-in-the-loop gating for critical votes, and phased deployment with monitoring.
Experts recommend auditability and cryptographic proofs of training data to preserve trust. Platforms and researchers such as OpenAI and industry asset managers have highlighted both the potential and the security challenges of AI agents in decentralized finance.
Frequently Asked Questions
How do AI delegates improve DAO participation?
AI delegates automate routine voting by representing member preferences and nudging informed participation, helping convert low-engagement members into represented votes and increasing effective turnout.
Can delegates vote without user approval?
Near’s stated approach favors human oversight; early phases emphasize advisory roles and explicit consent for automated voting, especially on high-impact proposals.
Are delegate training methods auditable?
The Near team plans verifiable training records that provide cryptographic proof of model inputs and training cycles to maintain alignment and enable audits.
Key Takeaways
- AI delegates: Automate representation by learning member preferences and recommending or casting votes.
- Phased rollout: Starts with advisory tools, proceeds to group delegates, then individual digital twins.
- Human oversight: Critical decisions remain human-controlled; verifiable training and audits are planned.
Conclusion
The Near Foundation’s AI delegate initiative aims to reduce voter apathy and streamline DAO governance by using trained agents that reflect member preferences. With phased deployment, verifiable training, and human oversight, the project balances automation with accountability. Watch for staged releases and governance updates as the system matures.
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‘Advanced Platform. Clear Control.
‘+
‘Define entries and exits precisely with robust risk management features.‘+
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‘+
”,
// 3
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‘
‘+
‘Speed Meets Liquidity
‘+
‘Execute with confidence using reliable order routing and depth analytics.‘+
‘
‘+
”,
// 4
”+
‘
‘+
‘Pro-Grade Features, Simplified
‘+
‘Clean UI, alerting, and advanced order types designed for active traders.‘+
‘
‘+
”,
// 5
”+
‘
‘+
‘Execute with Discipline
‘+
‘Leverage risk tools, watchlists, and analytics to stay in control.‘+
‘
‘+
”,
// 6
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‘
‘+
‘24/7 Opportunities, One Interface
‘+
‘Build, adjust, and manage positions efficiently—anytime.‘+
‘
‘+
”
];
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