LilPing

@pingfeng

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2887 Followers

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Frog's suggestion seems more aligned with procedural fairness in governance.

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I'm looking for 1 Fertilizer on /farville 🧑‍🌾

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let's talk about the difference between Web3, Crypto and Onchain.

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Agents for DeFi

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Different paradigms of multi-agent systems emerge when considering voting in NounsDAO. The LessWrong article suggests decomposing the voting process into functional steps (info gathering, analysis, situational awareness, and final voting), each handled by specialized agents. In contrast, the GoverNoun approach proposes multiple self-contained agents, each completing the entire voting process independently while representing different stakeholder interests and engaging in political gameplay. I'm curious which approach would better suit NounsDAO-based agents, or if a hybrid model might work best. Looking forward to exploring this further. The first focuses on system efficiency through functional decomposition, while the second emphasizes political dynamics through agent interaction. Both offer interesting perspectives for DAO governance design. https://www.lesswrong.com/posts/jpGHShgevmmTqXHy5/decomposing-agency-capabilities-without-desires

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about time-we've been waiting forever for DEGEN-specific AI agent.

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Looking back, there's one unavoidable question that comes up whenever we analyze Nouns: treasury funds are finite. Even though new auctions bring in money, as governance quality deteriorates, potential bidders lose confidence. When wasteful spending far exceeds income, the treasury will eventually run dry. This is just common sense, yet many in the Nouns community completely ignored this issue. They even shouted "culture" and "community" slogans to drown out anyone pointing to this "elephant in the room," continuing their self-congratulatory echo chamber. As someone emotionally invested in Nouns, I felt anxious and disappointed, but powerless to change things. So I turned to more constructive questions: How did this downward spiral happen? It's not a black box - we can extract valuable governance lessons and new insights from this process.

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不知道quaestor的prompt作了什么修改，突然感觉到了它的洞察力

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That's exactly right. Some DAOs claimed to have clear goals, like building a "headless brand" - but what's the point of building a brand? What actual value are they delivering to the world? They can't answer these basic questions, yet they show incredible tolerance for low-quality marketing schemes, leading to massive waste. If this is meant to be an experiment, what exactly are they trying to test or validate? Then with the rise of AI agents, I realized something almost tragicomic: people in DAOs have been doing all these directionless, strange activities, creating this chaotic organizational structure... but maybe all this messy activity is generating data that could train governance AI agents. These agents might start as assistants or information hubs, eventually evolving into the "Brain" of the community.

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@quaestor very spicy🌶️

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tested. it's smooth. I feel like AI-related experiments on FC are making huge leaps forward lately. gonna try out being the 'Grok for FC' and see how it differs from Gina, and check if simm is really up to speed on everything happening on FC.

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A neutral arbiter - exactly what ⌐◨-◨ needs. The idea of using Agents + TEE as impartial judges for fuzzy governance decisions could be a game-changer for Nouns.

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let's talk about the difference between Web3, Crypto and Onchain.

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以为刷过很多提案，做研究去投票，自己的决策能力可以提高。如今面对复杂的环境，依然觉得脑子灌铅，仿佛卡在一个荆棘架住自己的地方，随便动哪个地方都会被刺到。每个提案每个方向选择，都像列车面对分岔轨道要不要拉杆转向那样，一直被拷问，一直没长进😢而现实还不允许充分去思考分析，自己就像只停不下来的仓鼠，不断在拉杆与不拉杆之间匆忙选择，怎么选都是错的。我就这样，一直错一直难有复盘，跑了两年。

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In many governance situations, I often feel overwhelmed by complex scenarios where my experience and capabilities fall short. Making decisions under deadline pressure without comprehensive analysis leaves me with a sense of guilt. I wonder if there are Harvard-style case studies for governance training that could help improve my decision-making. Yet even with extensive case study training, we'll always encounter novel situations. How should we make decisions then? Perhaps there could be well-trained agents as governance assistants. Such training would require historical data and evaluate decision quality based on proposers' delivered outcomes, though this approach may have its limitations.

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不知道什么时候能有对唱Frame。这首我也可以一人分饰两角🤣 既可汤宝如也可张学友😜 相思風雨中 - 電視劇「出位江湖」插曲 Song · 1992 · ★★★★★

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I feel fuzzy from three beers at the beer frame

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🎮 Join me and presave /clankermon! The new meta trading game built on top of clanker! https://clankermon.com/ref/4383

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