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- 🚨 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
- 🔥 Gate Square #Gate Alpha Third Points Carnival# Trading Sharing Event - 5 Days Left!
Share Alpha trading 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
Gate Alpha 3rd Points Carnival Issue 10 is in full swing!
Trade and post for double the chances to win!
Learn more: https://www.gate.com/campaigns/1522alpha?pid=KOL&ch=5J261cdf
- 📢 Gate has released its latest Proof of Reserves report!
As of July 11, 2025:
💰 Total reserves reached $10.504 billion
📈 Reserve ratio stands at 126.03%
✅ Covers over 350 types of user assets
🔼 Surplus reserves increased 10.66% to $2.17 billion
Committed to transparency and user fund security.
📎 Learn more: https://www.gate.com/proof-of-reserves
- 🎉 [Gate 30 Million Milestone] Share Your Gate Moment & Win Exclusive Gifts!
Gate has surpassed 30M users worldwide — not just a number, but a journey we've built together.
Remember the thrill of opening your first account, or the Gate merch that’s been part of your daily life?
📸 Join the #MyGateMoment# campaign!
Share your story on Gate Square, and embrace the next 30 million together!
✅ How to Participate:
1️⃣ Post a photo or video with Gate elements
2️⃣ Add #MyGateMoment# and share your story, wishes, or thoughts
3️⃣ Share your post on Twitter (X) — top 10 views will get extra rewards!
👉
Google Open Source Gemma-3: Comparable to DeepSeek, Computing Power Plummets
Jinshi data news on March 13th, last night, Google (GOOG.O) CEO Sundar Pichai announced that the latest multimodal large model GEMMA-3 open source, featuring low cost and high performance. Gemma-3 has four sets of parameters: 1 billion, 4 billion, 12 billion, and 27 billion. Even with the largest 27 billion parameters, only one H100 is needed for efficient inference, which is at least 10 times more Computing Power efficient than similar models to achieve this effect, making it the currently most powerful small parameter model. According to blind test LMSYS ChatbotArena data, Gemma-3 ranks second only to DeepSeek's R1-671B, higher than OpenAI's o3-mini, Llama3-405B, and other well-known models.