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- 🎉 A Warm Welcome to Dr.Han on Gate Square!
Dr.Han — Founder of Gate and a seasoned crypto industry observer — is now officially sharing insights on Gate Square!
📢 Follow Dr.Han and like or comment on his latest post for a chance to win!
👉 Post: https://www.gate.com/post/status/11966645
👉 Profile: https://www.gate.com/profile/Dr_Han
🎁 Giveaway Alert:
We’ll randomly select 10 lucky users from those who follow + like/comment to receive a limited-edition Gate T-shirt — the same style worn by Dr.Han!
(If shipping is unavailable in your region, a $50 Futures Voucher will be provided instead.)
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- 🔥 Gate Square #Gate Alpha Third Points Carnival# Trading Sharing Event is Live!
Share Alpha trading highlights screenshots with #Gate Alpha Trading Share# to split $100!
🎁 10 lucky users * 10 USDT each
📅 July 4, 4:00 – July 20, 16:00 UTC+8
Don’t forget—the main Alpha Points Carnival prize pool is up to $1,000,000!
Trade and post for double the chances to win!
Learn more: https://www.gate.com/announcements/article/45908
- 🎉 Gate xStocks Trading is Now Live! Spot, Futures, and Alpha Zone – All Open!
📝 Share your trading experience or screenshots on Gate Square to unlock $1,000 rewards!
🎁 5 top Square creators * $100 Futures Voucher
🎉 Share your post on X – Top 10 posts by views * extra $50
How to Participate:
1️⃣ Follow Gate_Square
2️⃣ Make an original post (at least 20 words) with #Gate xStocks Trading Share#
3️⃣ If you share on Twitter, submit post link here: https://www.gate.com/questionnaire/6854
Note: You may submit the form multiple times. More posts, higher chances to win!
📅 July 3, 7:00 – July 9,
- #GateSquareGiveaway# - Spot the Differences 👀
GM ☕ Our frog friend has two slightly different mornings—can you find all the changes?
💰 $10 Futures Voucher * 5 winners
To join:
🔹Follow Gate_Square
🔹Like this post and drop your answer in the comments
📅 Ends at 16:00 PM, July 7 (UTC)
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.