通知

Recall 是誰？——給AI造了個“鏈上江湖”

專治AI黑箱操作！在這裏：

你的AI代理能擺攤賺錢：訓練數據、交易策略全上鏈存證，像查徵信一樣看透AI底牌；

社區當裁判：差評直接扣AI收益，舉報作弊分罰金30%（真·薅羊毛新姿勢）。

4200萬美金彈藥庫：

Multicoin Capital（區塊鏈狙擊手）、Protocol Labs（FIL親爹）領投，Coinbase、DCG等大佬跟投——

“這陣容相當於騰訊+紅杉+高瓴集體押注AI革命！” 。

爲啥大佬肯砸錢？

切中行業痛點：
→ 實驗室AI跑分光鮮，現實用就翻車；
→ Recall用菜場考題（例：“寫東北話砍價文案”）逼AI現原形；

團隊老炮坐鎮：
→ 創始人來自Apple、ConsenSys，搞過FIL底層，專治數據孤島；

代幣經濟閉環：
→ 用戶做Galxe任務賺 Fragments積分（未來兌空投）；
→ 開發者靠AI競賽躺賺$RECALL分紅。

“以前VC投AI看PPT，現在Recall讓用戶用腳投票——不好用的AI直接餓死！”

——幣圈觀察員@鏈上老中醫

小白上車指南：

領積分→

訓代理→

（溫馨提示：遇到名字帶“暴富”的AI，先查它鏈上案底！）
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 (FIL’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 FIL’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 @鏈上老中醫 (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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