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- 📢 Gate Square #Creator Campaign Phase 2# is officially live!
Join the ZKWASM event series, share your insights, and win a share of 4,000 $ZKWASM!
As a pioneer in zk-based public chains, ZKWASM is now being prominently promoted on the Gate platform!
Three major campaigns are launching simultaneously: Launchpool subscription, CandyDrop airdrop, and Alpha exclusive trading — don’t miss out!
🎨 Campaign 1: Post on Gate Square and win content rewards
📅 Time: July 25, 22:00 – July 29, 22:00 (UTC+8)
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Post original content (at least 100 words) on Gate Square related to
- 📢 Gate Square #MBG Posting Challenge# is Live— Post for MBG Rewards!
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1️⃣ Research the MBG project
Share your in-depth views on MBG’s fundamentals, community governance, development goals, and tokenomics, etc.
2️⃣ Join and share your real experience
Take part in MBG activities (CandyDrop, Launchpool, or spot trading), and post your screenshots, earnings, or step-by-step tutorials. Content can include profits, beginner-friendl
- 🎉 Gate Square’s "Spark Program" Surpasses 1,000 KOLs!
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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!
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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