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→

训代理→

（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 →
- Train agents →

(Warm tip: If you encounter an AI with "get rich quick" in its name, check its on-chain record first!)
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