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- 🎊 ETH Deposit & Trading Carnival Kicks Off!
Join the Trading Volume & Net Deposit Leaderboards to win from a 20 ETH prize pool
🚀 Climb the ranks and claim your ETH reward: https://www.gate.com/campaigns/site/200
💥 Tiered Prize Pool – Higher total volume unlocks bigger rewards
Learn more: https://www.gate.com/announcements/article/46166
- 📢 ETH Heading for $4800? Have Your Say! Show Off on Gate Square & Win 0.1 ETH!
The next bull market prophet could be you! Want your insights to hit the Square trending list and earn ETH rewards? Now’s your chance!
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🎮 How to Join – Zero Barriers, ETH Up for Grabs!
1.Join the Hot Topic Debate!
Post in Gate Square or under ETH chart with #ETH Hits 4800# and #ETH# . Share your thoughts on:
Can ETH break $4800?
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What's your ETH holding strategy?
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Or any o
- 🧠 #GateGiveaway# - Crypto Math Challenge！
💰 $10 Futures Voucher * 4 winners
To join:
1️⃣ Follow Gate_Square
2️⃣ Like this post
3️⃣ Drop your answer in the comments
📅 Ends at 4:00 AM July 22 (UTC)
- 🎉 #Gate Alpha 3rd Points Carnival & ES Launchpool# Joint Promotion Task is Now Live!
Total Prize Pool: 1,250 $ES
This campaign aims to promote the Eclipse ($ES) Launchpool and Alpha Phase 11: $ES Special Event.
📄 For details, please refer to:
Launchpool Announcement: https://www.gate.com/zh/announcements/article/46134
Alpha Phase 11 Announcement: https://www.gate.com/zh/announcements/article/46137
🧩 [Task Details]
Create content around the Launchpool and Alpha Phase 11 campaign and include a screenshot of your participation.
📸 [How to Participate]
1️⃣ Post with the hashtag #Gate Alpha 3rd - 🚨 Gate Alpha Ambassador Recruitment is Now Open!
📣 We’re looking for passionate Web3 creators and community promoters
🚀 Join us as a Gate Alpha Ambassador to help build our brand and promote high-potential early-stage on-chain assets
🎁 Earn up to 100U per task
💰 Top contributors can earn up to 1000U per month
🛠 Flexible collaboration with full support
Apply now 👉 https://www.gate.com/questionnaire/6888
Jinse Finance reported that the Alibaba Qwen team officially released their latest research achievement - the QwQ-32B large language model. QwQ-32B, with only about 1/21 of the parameter amount of DeepSeek-R1, achieved a performance leap through reinforcement learning.