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- 🎉 The #CandyDrop Futures Challenge# is live — join now to share a 6 BTC prize pool!
📢 Post your futures trading experience on Gate Square with the event hashtag — $25 × 20 rewards are waiting!
🎁 $500 in futures trial vouchers up for grabs — 20 standout posts will win!
📅 Event Period: August 1, 2025, 15:00 – August 15, 2025, 19:00 (UTC+8)
👉 Event Link: https://www.gate.com/candy-drop/detail/BTC-98
Dare to trade. Dare to win. - 📢 Gate Square Exclusive: #WXTM Creative Contest# Is Now Live!
Celebrate CandyDrop Round 59 featuring MinoTari (WXTM) — compete for a 70,000 WXTM prize pool!
🎯 About MinoTari (WXTM)
Tari is a Rust-based blockchain protocol centered around digital assets.
It empowers creators to build new types of digital experiences and narratives.
With Tari, digitally scarce assets—like collectibles or in-game items—unlock new business opportunities for creators.
🎨 Event Period:
Aug 7, 2025, 09:00 – Aug 12, 2025, 16:00 (UTC)
📌 How to Participate:
Post original content on Gate Square related to WXTM or its - 🎉 Attention Alpha fans! Alpha’s latest TAG airdrop goes live today at 10 AM—first come, first served!
💰 Don’t forget to share your airdrop or points screenshot on Gate Square with the hashtag #ShowMyAlphaPoints# for a chance to win a share of the $200 token mystery box!
🥇 Top points winner: $100
✨ 5 outstanding posts: $20 each
📸 Pro tips:
Add a caption like “I earned ____ with Alpha. So worth it”
Share your points-earning tips or redemption experience for a better chance to win!
📅 Activity deadline: August 10, 18:00 UTC
Let’s go! See you tonight: https://www.gate.com/announcements/article - Hey Square fam! How many Alpha points have you racked up lately?
Did you get your airdrop? We’ve also got extra perks for you on Gate Square!
🎁 Show off your Alpha points gains, and you’ll get a shot at a $200U Mystery Box reward!
🥇 1 user with the highest points screenshot → $100U Mystery Box
✨ Top 5 sharers with quality posts → $20U Mystery Box each
📍【How to Join】
1️⃣ Make a post with the hashtag #ShowMyAlphaPoints#
2️⃣ Share a screenshot of your Alpha points, plus a one-liner: “I earned ____ with Gate Alpha. So worth it!”
👉 Bonus: Share your tips for earning points, redemption experienc - 🎉 The #CandyDrop Futures Challenge is live — join now to share a 6 BTC prize pool!
📢 Post your futures trading experience on Gate Square with the event hashtag — $25 × 20 rewards are waiting!
🎁 $500 in futures trial vouchers up for grabs — 20 standout posts will win!
📅 Event Period: August 1, 2025, 15:00 – August 15, 2025, 19:00 (UTC+8)
👉 Event Link: https://www.gate.com/candy-drop/detail/BTC-98
Dare to trade. Dare to win.
China AI catches up: DeepSeek releases R1 model to challenge US technological leadership
China's AI lab DeepSeek recently launched its Open Source inference model DeepSeek-R1, triggering wide follow in the industry. The model, known as the 'inference model,' is claimed to perform comparably to OpenAI's o1 on certain AI Benchmark tests. R1 has been released through the AI development platform Hugging Face under the MIT license, allowing users to commercialize it without restrictions.
DeepSeek claims that R1 outperformed o1 in several Benchmark tests, including the American Invitational Mathematics Exam (AIME), MATH-500, and SWE-bench Verified. Among them, AIME uses other models to assess reasoning abilities, MATH-500 focuses on word problems, and SWE-bench Verified tests programming tasks.
The R1 model has advantages, but is limited by politics
It is said that as a reasoning model, R1 has a unique self-validation ability, which makes it more reliable than traditional models in fields such as physics, science, and mathematics. Although reasoning models usually require longer computing times, ranging from several seconds to minutes (, their high accuracy is of great advantage in dealing with complex problems.
The technical report points out that R1 contains 671 billion parameters, far exceeding many existing models. The number of parameters is usually proportional to the problem-solving ability of the model, making R1 a massive model. However, D