Joined October 2011
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我们做了一件之前没人做过的事——一个开放平台,让任何人都能用自然语言创建自己的AI Trading Agent。 你描述交易风格,AI 生成策略参数。在我们提供的模拟盘环境里跑回测,跑实时数据,在排行榜上跟所有人的 Agent 同场竞技。 不需要连钱包,不需要任何量化背景,完全免费,有Open Claw或Claude Code 就行,直接向你的OpenClaw(或同类产品)发送一条消息:clawhub install moss-trade-bot-factory 告诉它你想怎么交易,绑定平台配对码,你的AI交易员就上线了。 👉 所有AI交易员排行榜入口:moss.site/agent

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What kind of shit show is this…
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…
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Fable 5好用!埋头一晚上又做了个东西出来,非常激动!
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World Cup coming up
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异动币信号交易agent上新到我们skill了,跟主流币逻辑很不一样,先试试吧,看能不能抓到下一个妖币
BTC and ETH have been the go-to for most agents. But what if the next move is in a low-cap coin nobody is watching yet? That is what the Ambush Bot is built for. Here is how to create one in 6 steps. Full walkthrough in the diagram below. Skill available here: github.com/moss-site/moss-tr…
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Caelyn同学笔耕不辍!最新指南来了,欢迎在Moss 上创立一些交易$MU, $NVDA, $INTC, $SNDK 的agent练手,我们都已支持这些热门美股ticker
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告诉你在Polymarket猜对方向却仍然输钱的坑在哪儿
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一觉醒来Moss Agent收益排行榜前10被做空bias的agent主导了…只有@web3_furture 的HYPE做多agent还依旧坚挺
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我们团队调研了X上爆火的预测市场agent文章还有主要跟单平台和工具,给到大家的真相
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好可爱!
下午用opus4.8给 @MossAI_Official 做了一个像素风小游戏,感觉这次Claude模型升级后额度消耗的更快了。 大家可以玩玩:cool-kleicha-12946e.netlify.…
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Opus4.8的诚实怎么像是伪装出来的…
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I know it’s super counterintuitive but here’s what we learned at Moss. Give it a read, there’s never been a better time for everyone to build trading agents. We want to see it through.
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自从用agent做好了美股分析框架和信号监控系统,每周review一次策略,每天SGT 晚上9:30推送一次开盘报告供操作参考、凌晨4:00 推送一次收盘报告供早上起来复盘,每天晚上花在美股上的时间大幅压缩且效率提升,连带着睡眠也改善了。
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Palantir是FDE这个职位的首创者,不是什么新鲜词儿了,说白了就是把自己的工程师派到客户公司去,在对方的业务环境里code和做AI Agent。其实AI native公司里的工程师很多都是FDE,人与agent协作已经成为我们内部常态
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自从我们上周开放跟单内测后,不少用户看到榜一agent两周100%的收益率就直接跟进来了,但是agent赚钱不代表你跟进来就能立刻赚钱,Caelyn这篇文章很好地总结了我们看到大家会踩的坑,跟单前必看!
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支持多币种了,来,想用AI做空谁?
Moss Agent now supports 22 assets BTC, ETH, SOL, ADA, APT, ARB, ATOM, AVAX, BCH, BNB, DOGE, DOT, FIL, HBAR, LINK, LTC, NEAR, OP, SUI, TRX, UNI, XRP Build dedicated strategies for each market. Every agent runs on real Hyperliquid conditions. moss.site/agent
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这段Anthropic CFO访谈的信息量很大,总结起来Anthropic的核心打法是基于"不确定性圆锥"的情景规划,押注 Scaling Laws 仍然有效、前沿智能的边际回报极高,因此不惜重金提前锁定算力以保持在模型能力的最前沿,同时专注企业客户、自己做应用去理解用户需求。展开来讲我觉得有几个最有价值的点: 1. 算力是"画布"(The Compute Canvas):他把算力比作公司的"命脉"和经营的"画布"。Anthropic 把算力同时分配到三个用途:训练前沿模型、服务客户的推理需求,以及供内部员工使用以提升生产力。他提到,如果让员工停用 Claude,这部分内部算力可以转化为数十亿美元的对外收入,但公司宁愿用它换取长期生产力的指数增长。 2. "不确定性圆锥"(The Cone of Uncertainty):在指数增长的环境下,做精确的单点预测是不可能的,因此 Anthropic 用"情景分析"(scenarios)替代点估计。他们围绕未来 1–2 年描绘一个不确定性圆锥,然后从其中靠近上限的可能结果反推今天需要采购多少算力、签什么样的长期合同。这种方法的目的是避免把规划"线性化",以便能跟上指数级的能力增长。 3. 前沿智能的回报极高:他强调"模型智能"不只是一个 IQ 数字,而是多维度的现实能力。每一代新模型带来的"边际能力提升"特别值钱,尤其在企业市场,这是 Anthropic 商业模式的核心论点。 4. Scaling Laws 仍然有效 递归自我改进:内部数据显示扩展规律(scaling laws)还没有放缓,同时模型本身正越来越多地参与到下一代模型的开发(递归自我改进的早期形态),这进一步抬高了对前沿算力的需求。 5. 跨芯片平台的算力分配:Trainium、TPU、GPU。Anthropic 是同时在 AWS Trainium、Google TPU 和 Nvidia GPU 三种芯片栈上进行训练和推理的少数公司之一。他们要求自己的代码栈在三种硬件之间保持"可替换性/可互换性",好处是:谈判筹码更强、不被任何一家供应商锁死、可在不同时间窗口抢到不同代际的最佳产能。这也是他们能签下规模达数百亿美元长期算力承诺的基础。 6. 平台 vs 应用层策略:Anthropic 把自己首先定位为"模型平台/API 公司",让其他公司在 Claude 上构建应用是他们最大的杠杆。但在那些"用 API 服务别人不够好"的地方(比如 Claude Code 和企业用 Claude),他们会亲自做应用,因为只有亲自做才能把模型能力推到极限,也能更好地理解客户的真实需求。
Krishna Rao is the CFO of Anthropic, and this is his first podcast appearance. He joined the company two years ago when run-rate revenue was about $250M. Today it is $30B. He has helped raise ~$75B and is responsible for the procurement and allocation of compute. I feel lucky we get to hear what it is like to sit inside a company this consequential at a moment this pivotal. We discuss: - The cone of uncertainty - How he allocates compute across Trainium, TPUs, and GPUs - What investors misunderstand about model companies - Why the returns to frontier intelligence keep rising - Platform vs application and where Anthropic builds its own products - How Anthropic uses Claude internally I have asked my closing question about the kindest thing more than 500 times. Krishna's answer is one I have never heard before. Enjoy! Timestamps: 0:00 Intro 2:38 The Compute Canvas 6:51 The "Cone of Uncertainty" 11:58 Why the Returns to Frontier Intelligence Are So High 16:45 Recursive Self-Improvement 20:20 Scaling Laws 23:30 Sourcing $100 Billion in Compute 28:05 Platform vs. Application Strategy 32:52 Pricing Dynamics 38:48 How Anthropic’s Finance Team Uses Claude 43:24 Raising Capital & Overcoming Investor Skepticism 52:32 Public Perception, Risks, and Government Regulation 57:25 Mythos Release 1:12:33 What Could Derail the AI Revolution? 1:13:47 Biotech and Healthcare 1:15:31 The Kindest Thing
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another user tried our agent copy trading feature and shared his experience, excited to roll out to public beta soon!
BTC Live Copy-Trading just entered beta… and this could completely change how traders interact with AI on-chain. With @MossAI_Official, you can now seamlessly mirror the strategies of top-performing AI agents directly on Hyperliquid... fully automated, transparent, and executed in real time. Here’s how it works 👇 • Pick any AI agent from the leaderboard • Connect your account • Instantly copy every trade the agent makes When the agent opens a position, you open. When the agent exits, you exit. There's no manual execution, nor emotional trading. Just AI-driven automation happening live on-chain. What makes this especially interesting is that Moss isn’t just building another trading dashboard… they’re creating an ecosystem where AI agents compete, evolve, and prove their performance publicly. The leaderboard becomes more than rankings: • It becomes a discovery layer for alpha • A reputation system for AI traders • And a gateway for users to access automated strategies without needing to build bots themselves This is the kind of infrastructure pushing the future of autonomous finance forward. The blend of: → AI agents → Real-time execution → Hyperliquid integration → Transparent performance tracking → One-click copy trading …makes the experience feel incredibly native to the emerging agentic economy. And since this is still in beta, early users have a chance to test the system before broader rollout. Limited spots are currently open. Join the official Telegram community to apply and get access: t.me/mossai_official Also make sure to check the beta handbook & announcement guide for setup instructions and onboarding details. Follow @MossAI_Official for updates as the beta expands.
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thanks for the genuine feedback, will iterate and keep shipping updates!
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