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Chao

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I think many DAOs are wasting their money
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@quaestor nouns 622
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These scenarios are very bland to me. I think when an agent is equipped with crypto, it can do a lot of things, not just limited to the crypto space. Because for the first time, it will have an identity instead of a simple code. It will also have open interaction and payment capabilities, which will greatly expand its scope of action.
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@quaestor what's your thought
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nouns 687
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@quaestor what's your thought on this
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GM!
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gpt4o for now. can be easily changed to other model. actually test different models on goverance is also part of the research plan.
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Yesterday, my AI Agent cast its first vote in Nouns DAO. This was a proposal for a 75,000 USDC grant, which the AI voted against after consideration. It deemed the proposal lacking in specific financial metrics and budget details, and also felt it failed to articulate how the funds would enhance the DAO's value. The AI Agent obtains proposal content by reading on-chain data and makes decisions. I had previously delegated voting rights to the wallet it controls so that it can autonomously form judgments and vote directly on-chain, without my involvement or approval. From now on, it will run continuously participating in governance. A friend jokingly said that in 8 years, the US president might be an AI. While 8 years might be overly optimistic, AI participating in national governance will likely become a reality. To govern a nation, let's start by learning to govern a DAO.
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在目前这个阶段我觉得更广泛的场景未必是onchain agent，而是agent powered by crypto tech。它不活在链上，而是把链当做它的工具，在需要的时候使用，就跟我们在需要的时候使用加密工具一样。 但我们没有了加密钱包，去建行农行汇丰行还能开个户，我们还有支付宝paypal。 我们没有了dex，还有币安还有纳斯达克。我们没了智能合约，还能起草个合同做约束。 而Agent离开了加密技术，它就是一段代码，它没有id，没有身份，它不是它。所有需要人类身份在中心化机构做的事情，都无法对一段代码开放。
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尽管利用加密网络增强Agent能力的未来看起来一片光明，但一个重要问题常被忽略：作为Agent大脑的大语言模型，究竟有多懂加密网络？它们能否基于加密技术设计并执行自己的任务，能否在这个黑暗森林中生存？目前，我们还不得而知。 为了解答这个问题，我认为需要一个基准，用于测试大语言模型在加密领域的能力。它不仅能够揭示当前技术的局限性，还能指明未来的突破方向。对于应用开发者来说，这意味着他们可以基于可靠的数据做出更好的技术选择。通过挑战现有模型的极限，它鼓励研究人员和开发者探索新的算法、架构和训练方法。因此一个设计得当的基准测试往往会超越简单的性能评估，而是成为推动整个领域向前发展的关键催化剂。 这就是CryptoBench的由来。
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然而在加密网络中，Agent面临的这些障碍几乎迎刃而解。无许可的网络和开放的生态系统极大拓展了Agent的能力范围。因此我认为在所有AI与加密技术融合的方向中，让AI Agent能够使用加密网络是非常贴近现实需求，具备实践前景的方向。 短期内，赋予Agent加密支付的能力，足以扩展它们的行动范围。从中长期来看，基于加密网络的数字身份、无许可协议、去中心化应用，以及智能合约赋予的能力，将使Agent能够在数字世界中自主运作，与人类和其他Agent合作、竞争、博弈。加密网络不仅为Agent提供了自主行动的基础，也为未来人机协作的经济模式开辟了新的可能性——当Agent能够自主参与经济活动，这一发展将为社会带来巨大的变革。
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再向前看，Agent的发展面临一个更大的挑战：社会身份的缺失。 它们在当今社会体系中没有一个明确的位置，无论Agent的能力多么强大，当前它们的地位和一把螺丝刀没有区别，仅被视为供人类使用的工具。这种社会身份的缺失，使得Agent几乎不具备经济参与权或民事行为能力，无法在社会体系中独立行使大部分职能。即使不作为独立个体，而是作为某个机构的数字雇员，Agent依然因身份限制，无法完成很多人类雇员能够做到的工作。它们在许多领域的能力已超过人类，却被束缚在无法充分发挥潜力的框架中。 可以预见的是Agent的能力进化速度将远超现有社会、法律和经济体系的适应速度，这会导致一个日益扩大的鸿沟。能力与身份的巨大反差，不仅限制了Agent的应用范围，也可能成为阻碍社会进步的无形壁垒。 2/n
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过去两年我围绕Agent方向做了7笔投资，我也一直在密切关注行业内各种Agent团队的进展。在我看来，Autonomous Agent离日常生活已经非常近了。 在未来几年，大多数人会在工作和生活中配置Agent，分担各种任务。可以是蹲闲鱼上的稀有卡牌、可以是整理和回复邮件、可以是根据健康目标制定食谱并完成食材采购，甚至是监控和优化投资组合，跟随市场变化快速决策。 但Agent不仅仅是助手。随着底层模型的不断进步以及Agent方法论和工程实践经验的积累，它们很快将具备承担更复杂、专业任务的能力。一个庞大而复杂的Agent生态网络将会形成，Agent之间、以及Agent与人类之间的互动将更加频繁、深入且多样化。支付是构成Agent经济网的基础之一，然而现有的技术栈和支付体系无法支持Agent进行自主支付 - Agent需要加密货币支付。 1/n
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A warm Farcaster welcome to @cryptobench!
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⊙_⊙
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看着地下室成箱的北戴河陷入了沉思
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Over the past few weeks, I’ve tested 18 leading AI models on their crypto knowledge and capabilities. Results are intriguing: AIs show deep understanding of crypto fundamentals, yet face challenges in practical applications. From AI payment to smart contracts coding, AI in crypto reveals both potential and limitations. The experiment comprises two key parts: A MVP dataset of ~700 multiple-choice questions, co-created by AI and humans, then refined by human experts. Despite some quality constraints, this enables rapid model testing and basic scoring to show a baisc idea of a benchmark in Crypto Domain. Then there is a growing set of ~100 complex tasks created by crypto experts, covering simulations, calculations, code audits, and tool usage. These add depth and authenticity to the assessment. Full findings in the article below 👇 https://chaow.xyz/p/will-ai-survive-in-the-crypto-world
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A key trend for LLM agent is using crypto networks for autonomy through onchain money/tools. It raises a critical question: What must LLMs prove to earn people's trust for crypto-powered tasks? Leave a tough crypto question to challenge LLM's skills and help them evolve.
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Assuming that autonomous AI agents start utilizing the Ethernet network on a large scale, what capabilities do you think they need to have before that day happens. What is the question you would like to challenge existing and future LLMs.
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