💞 #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
FLock and CIMG join hands to usher in a new era of "Production DATs 2.0".
Written by: on-chain view
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 common practice in the market where most buy ETH and BTC as reserve assets to boost stock prices. To elaborate: specifically, FLock and CIMG Inc have adopted a deep business binding cooperation model, where CIMG needs to purchase FLOCK tokens as reserve assets. Both parties will also jointly create an AI health monitoring and smart recommendation product called LifeNode, with FLock providing technical services for AI privacy computing and federated learning.
The cooperation model between FLock and CIMG adopts a deep binding of "business + tokens". On one hand, due to the need to acquire tokens, the value of FLock's tokens is substantially linked to the main business of the listed company; on the other hand, FLock provides AI technology supply services, which will directly affect CIMG's strategy and market performance. In other words, the cooperation between the two is not merely simple speculation, but has resulted in business synergy and value connection.
This collaboration with FLock is equivalent to directly jumping from AI applications on the marketing side to AI innovation on the product side—LifeNode implementation. 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?