🔥 WCTC S8 全球交易賽正式開賽!
8,000,000 USDT 超級獎池解鎖開啟
🏆 團隊賽:上半場正式開啟,預報名階段 5,500+ 戰隊現已集結
交易量收益額雙重比拼,解鎖上半場 1,800,000 USDT 獎池
🏆 個人賽:現貨、合約、TradFi、ETF、閃兌、跟單齊上陣
全場交易量比拼,瓜分 2,000,000 USDT 獎池
🏆 王者 PK 賽:零門檻參與,實時匹配享受戰鬥快感
收益率即時 PK,瓜分 1,600,000 USDT 獎池
活動時間:2026 年 4 月 23 日 16:00:00 - 2026 年 5 月 20 日 15:59:59 UTC+8
⬇️ 立即參與:https://www.gate.com/competition/wctc-s8
#WCTCS8
🤔 When AI devours the world, who ensures they're being fed quality data?
Take Perle Labs @PerleLabs for example: Enterprise-grade trustworthy AI data infrastructure built by core members of Scale AI.
A synthetic data closed loop of "AI training AI" — each link in this data supply chain is burying hidden risks.
The research community has named this phenomenon: Model Collapse. When models begin consuming large quantities of data generated by other models, quality spirals downward until it becomes uncontrollable.
Yet in high-risk scenarios like medical diagnosis, judicial decisions, and defense policy, untrusted training data means unacceptable safety costs.
Scale AI spent nearly a decade answering "how to produce AI data at scale," and was valued at $30 billion, receiving Meta's $14.3 billion strategic investment and multimillion-dollar contracts from the U.S. Department of Defense.
Perle Labs was founded by core members from Scale AI.
👉 Perle's Different Data Labeling Logic
Perle's answer isn't more automation — it's the opposite approach.
Traditional AI data labeling crowdsourcing platforms pay by volume, resulting in inconsistent data quality. Perle builds AI data infrastructure driven by real human experts.
- Medical professionals annotate medical data
- Legal experts review legal documents
- Linguists handle complex language tasks
Every training data point undergoes expert review and verification, with auditable records preserved on-chain. Contributors accumulate on-chain verifiable reputation through sustained performance, forming an expert-driven AI data economy.
Not crowdsourcing — this is collaborative infrastructure of "expert networks + on-chain reputation."
The more AI develops, the greater the demand for high-quality data — this is a genuine need. What Perle does is ensure every piece of data AI consumes is traceable and guarantees data quality.
Currently Perle has real enterprise-level and sovereign-level clients generating actual revenue, and has completed $17.5 million in financing with top-tier investors including Framework Ventures and CoinFund.
Now $PRL is listed on Coinbase's launch roadmap — looking forward to Perle's performance. #PerleAI #ToPerle
— participating in @PerleLabs community campaign