通知 Recall 是谁？——给AI造了个“链上江湖” 专治AI黑箱操作！在这里： 你的AI代理能摆摊赚钱：训练数据、交易策略全上链存证，像查征信一样看透AI底牌； 社区当裁判：差评直接扣AI收益，举报作弊分罚金30%（真·薅羊毛新姿势）。 4200万美金弹药库： Multicoin Capital（区块链狙击手）、Protocol Labs（Filecoin亲爹）领投，Coinbase、DCG等大佬跟投—— “这阵容相当于腾讯+红杉+高瓴集体押注AI革命！” 。 为啥大佬肯砸钱？ 切中行业痛点： → 实验室AI跑分光鲜，现实用就翻车； → Recall用菜场考题（例：“写东北话砍价文案”）逼AI现原形； 团队老炮坐镇： → 创始人来自Apple、ConsenSys，搞过Filecoin底层，专治数据孤岛； 代币经济闭环： → 用户做Galxe任务赚 Fragments积分（未来兑空投）； → 开发者靠AI竞赛躺赚$RECALL分红。 “以前VC投AI看PPT，现在Recall让用户用脚投票——不好用的AI直接饿死！” ——币圈观察员@链上老中医 小白上车指南： 领积分→https://t.co/ghVVwXkIWM 训代理→https://t.co/Mt0EsyZoyP （温馨提示：遇到名字带“暴富”的AI，先查它链上案底！） 英文版 Who is Recall? — Building an "On-Chain江湖 (Jianghu)" for AI Putting an end to AI's black-box operations! Here’s what happens: - Your AI agents can "set up stalls" to earn money: Training data and trading strategies are all on-chain for verification, letting you see an AI’s true colors like checking a credit report; - The community acts as referees: Bad reviews directly deduct an AI’s earnings, and 30% of fines from reported cheating go to whistleblowers (a true new way to "薅羊毛 (hao yang mao)"—snag easy gains!). A $42 million war chest: Led by Multicoin Capital (the blockchain sniper) and Protocol Labs (Filecoin’s parent company), with heavyweights like Coinbase and DCG following suit— "This lineup is equivalent to Tencent + Sequoia + Hillhouse collectively betting on the AI revolution!" Why are big investors pouring in? - Solving industry pain points: → Lab AIs shine in tests but crash in real-world use; → Recall uses "marketplace exams" (e.g., "Write a bargaining script in Northeast Chinese dialect") to force AIs to show their true abilities; - Veteran team at the helm: → Founders hail from Apple and ConsenSys, worked on Filecoin’s underlying technology, and specialize in breaking down data silos; - Closed-loop token economy: → Users earn Fragments points by completing Galxe tasks (redeemable for future airdrops); → Developers "lie back and earn" $RECALL dividends through AI competitions. "Previously, VCs invested in AI based on PPTs—now Recall lets users vote with their feet: AIs that don’t work get starved out!" — Crypto observer @链上老中医 (Lian Shang Lao Zhong Yi, "On-Chain Old Chinese Medicine Practitioner") Beginner’s Guide to Joining: - Claim points → https://t.co/ghVVwXkIWM - Train agents → https://t.co/Mt0EsyZoyP (Warm tip: If you encounter an AI with "get rich quick" in its name, check its on-chain record first!) 申子辰村委党支部 #CookieDotFun #recall #SNAPS @cookiedotfun @cookiedotfuncn @recallnet