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- 📢 Gate Square Exclusive: #PUBLIC Creative Contest# Is Now Live!
Join Gate Launchpool Round 297 — PublicAI (PUBLIC) and share your post on Gate Square for a chance to win from a 4,000 $PUBLIC prize pool
🎨 Event Period
Aug 18, 2025, 10:00 – Aug 22, 2025, 16:00 (UTC)
📌 How to Participate
Post original content on Gate Square related to PublicAI (PUBLIC) or the ongoing Launchpool event
Content must be at least 100 words (analysis, tutorials, creative graphics, reviews, etc.)
Add hashtag: #PUBLIC Creative Contest#
Include screenshots of your Launchpool participation (e.g., staking record, reward - 🎉 Hey Gate Square friends! Non-stop perks and endless excitement—our hottest posting reward events are ongoing now! The more you post, the more you win. Don’t miss your exclusive goodies! 🚀
🆘 #Gate 2025 Semi-Year Community Gala# | Square Content Creator TOP 10
Only 1 day left! Your favorite creator is one vote away from TOP 10. Interact on Square to earn Votes—boost them and enter the prize draw. Prizes: iPhone 16 Pro Max, Golden Bull sculpture, Futures Vouchers!
Details 👉 https://www.gate.com/activities/community-vote
1️⃣ #Show My Alpha Points# | Share your Alpha points & gains
Post your - 💙 Gate Square #Gate Blue Challenge# 💙
Show your limitless creativity with Gate Blue!
📅 Event Period
August 11 – 20, 2025
🎯 How to Participate
1. Post your original creation (image / video / hand-drawn art / digital work, etc.) on Gate Square, incorporating Gate’s brand blue or the Gate logo.
2. Include the hashtag #Gate Blue Challenge# in your post title or content.
3. Add a short blessing or message for Gate in your content (e.g., “Wishing Gate Exchange continued success — may the blue shine forever!”).
4. Submissions must be original and comply with community guidelines. Plagiarism or re
Allora x Phala is here 🤝
➥ @AlloraNetwork’s self-improving AI is integrating with @PhalaNetwork’s 30K+ device TEE network.
Both protocols are building the DeAI ecosystem, where AI agents must protect sensitive data by default.
How this collab upgrades them:
➢ Private model training: AI learns from sensitive datasets without ever exposing the raw data.
➢ Secure inference aggregation: Results are combined privately, with only the final output visible.
➢ Confidential delivery: Inferences stay hidden from even the Workers who generate them, delivered only to the end user.
➢ Adaptive AI agents: Models that adjust in real time instead of running static code.
➢ Verifiable compute: Every computation is trust-minimized and verifiable on-chain.
Phala brings unmatched data privacy, while Allora brings continuous learning and collective intelligence.
Together, they’re building AI agents that are:
✦ Secure by design
✦ Decentralized in governance
✦ Always improving
✦ Ready for on-chain deployment
By combining adaptive intelligence with hardware-level privacy, Allora x Phala sets a new benchmark for how AI agents are built, secured and deployed on-chain.