💞 #Gate Square Qixi Celebration# 💞
Couples showcase love / Singles celebrate self-love — gifts for everyone this Qixi!
📅 Event Period
August 26 — August 31, 2025
✨ How to Participate
Romantic Teams 💑
Form a “Heartbeat Squad” with one friend and submit the registration form 👉 https://www.gate.com/questionnaire/7012
Post original content on Gate Square (images, videos, hand-drawn art, digital creations, or copywriting) featuring Qixi romance + Gate elements. Include the hashtag #GateSquareQixiCelebration#
The top 5 squads with the highest total posts will win a Valentine's Day Gift Box + $1
Not just buying coins, how do FLock and CIMG reconstruct the production narrative of DATs 2.0?
I see that Flock has also joined the narrative camp of Wall Street DAT (Digital Asset Treasury).
Interestingly, the collaboration between FLock and CIMG Inc. is completely different from the usual practice of buying ETH and BTC as reserve assets to drive stock prices. To elaborate: Specifically, FLock and CIMG Inc. adopt a deeply integrated business collaboration model, where CIMG needs to purchase FLOCK tokens as reserve assets. The two parties will also jointly develop a product called LifeNode, an AI health monitoring and smart recommendation tool, with FLock providing technical services in AI privacy computing and federated learning.
The collaboration model between FLock and CIMG adopts a deep integration of "business + tokens". On one hand, due to the need to acquire tokens, the value of FLock's tokens is substantively linked to the main business operations of the listed company; on the other hand, FLock provides AI technology supply services, which will directly influence CIMG's strategy and market performance. In other words, the cooperation between the two is not merely speculative hype but has resulted in business synergy and value connection.
This collaboration with FLock represents a direct jump from AI applications in marketing to AI innovation in product development—LifeNode is realized, and CIMG has truly transformed from a "company using AI" to a "company making AI products." The key point is that FLock's federated learning and privacy computing technology precisely addresses the core pain point of health data applications: how to achieve AI personalized services while protecting user privacy?