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- 🌟 Photo Sharing Tips: How to Stand Out and Win?
1.Highlight Gate Elements: Include Gate logo, app screens, merchandise or event collab products.
2.Keep it Clear: Use bright, focused photos with simple backgrounds. Show Gate moments in daily life, travel, sports, etc.
3.Add Creative Flair: Creative shots, vlogs, hand-drawn art, or DIY works will stand out! Try a special [You and Gate] pose.
4.Share Your Story: Sincere captions about your memories, growth, or wishes with Gate add an extra touch and impress the judges.
5.Share on Multiple Platforms: Posting on Twitter (X) boosts your exposure an
- 🎉 [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!
👉
The social blockchain Cyber will launch the encryption AI model Cyber.AI
BlockBeats news, on January 29th, according to official sources, the social blockchain Cyber will launch the encryption AI model Cyber.AI, which analyzes millions of X posts and accounts, combined with data from over 200,000 projects. Its SocialFAI API can provide support for more intelligent AI agents. It is now available for developers to apply for early access. In addition, the model will be launched in collaboration with @elizaOSAI, allowing developers to access a more professional encryption knowledge base, eliminating the need to rely on general large models like LLM, thus enabling developers in the encryption field to create more intelligent AI agents. According to the official website, Cyber.AI is building a CyptoGPT encryption assistant product and a native encryption base model— a large language model (LLM) optimized for social data, providing more accurate encryption domain queries and information, serving AI agents and individual users.