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- 📢 #Gate Square Writing Contest Phase 3# is officially kicks off!
🎮 This round focuses on: Yooldo Games (ESPORTS)
✍️ Share your unique insights and join promotional interactions. To be eligible for any reward, you must also participate in Gate’s Phase 286 Launchpool, CandyDrop, or Alpha activities!
💡 Content creation + airdrop participation = double points. You could be the grand prize winner!
💰Total prize pool: 4,464 $ESPORTS
🏆 First Prize (1 winner): 964 tokens
🥈 Second Prize (5 winners): 400 tokens each
🥉 Third Prize (10 winners): 150 tokens each
🚀 How to participate:
1️⃣ Publish an
- 📢 Gate Square #TopContentChallenge# is coming! Post high-quality content and win exclusive rewards!
🌟 We will select outstanding posts for exposure, and help elevate your influence!
💡 How to Participate?
1.Add the #TopContentChallenge# tag to your post.
2.Posts must be over 60 characters and receive at least 3 interactions (Likes/Comment/Share).
3.Post may include only the #TopContentChallenge# tag.
🎁 We’ll select 1 top post to win $50 Futures Voucher every Tuesday and Thursday!
📃 High-quality posts will be shared on Gate Square and labeled as [Featured Posts]!
📌 Rewards will be distribu
- 🎉 [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!
👉
Dark side of the moon: Kimi releases visual thinking model k1, leading the industry in multiple science tests
On December 16, Jinshi Data News, according to the news from the dark side of the moon, Kimi released the visual thinking model k1. The k1 model is built on reinforcement learning technology, natively supporting end-to-end image understanding and thinking chain technology, and extending its capabilities to more basic scientific fields beyond mathematics. In benchmarking tests of basic scientific disciplines such as mathematics, physics, and chemistry, the performance of the first-generation k1 model exceeded that of the global benchmark models OpenAI o1, GPT-4o, and Claude 3.5 Sonnet.