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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)
📌 How to participate:
Post original content (at least 100 words) on Gate Square related to
- 📢 Gate Square #MBG Posting Challenge# is Live— Post for MBG Rewards!
Want a share of 1,000 MBG? Get involved now—show your insights and real participation to become an MBG promoter!
💰 20 top posts will each win 50 MBG!
How to Participate:
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
Huang Renxun: Musk has made various progress in the fields of cognitive intelligence, autonomous driving, and robotics technology.
Golden Finance reported that during CES 2025, NVIDIA CEO Huang Renxun highly praised Elon Musk's various advancements in the field of artificial intelligence, including cognitive intelligence, autonomous driving, and robotics technology. Huang pointed out that Musk has significant advantages in collecting real-world data through TSL's AI-driven factories, autonomous driving algorithms, and a large fleet. Huang Renxun specifically mentioned that Musk's efforts in the fields of xAI (cognitive intelligence), TSL autonomous driving, and Optimus humanoid robots are focused on the three key directions of AI development, and he stated that these efforts will have a profound impact on the industry. In addition, Huang predicted that in the coming years, the computing model will shift from traditional general-purpose computing to artificial intelligence and accelerated computing, further driving industry transformation.