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- #Gate 2025 Semi-Year Community Gala# voting is in progress! 🔥
Gate Square TOP 40 Creator Leaderboard is out
🙌 Vote to support your favorite creators: www.gate.com/activities/community-vote
Earn Votes by completing daily [Square] tasks. 30 delivered Votes = 1 lucky draw chance!
🎁 Win prizes like iPhone 16 Pro Max, Golden Bull Sculpture, Futures Voucher, and hot tokens.
The more you support, the higher your chances!
Vote to support creators now and win big!
https://www.gate.com/announcements/article/45974
- 🎉 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! 🚀
1️⃣ #ETH Hits 4800# | Market Analysis & Prediction: Boldly share your ETH predictions to showcase your insights! 10 lucky users will split a 0.1 ETH prize!
Details 👉 https://www.gate.com/post/status/12322612
2️⃣ #Creator Campaign Phase 2# |ZKWASM Topic: Share original content about ZKWASM or its trading activity on X or Gate Square to win a share of 4,000 ZKWASM!
Details 👉 https://www.gate.com/post/st - 📢 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
Microsoft Open Source New Version of Phi-4: Inference Efficiency Rises 10 Times, Can Run on Laptops
Jin10 data reported on July 10, this morning, Microsoft open sourced the latest version of the Phi-4 family, Phi-4-mini-flash-reasoning, on its official website. The mini-flash version continues the Phi-4 family’s characteristics of small parameters and strong performance, specifically designed for scenarios limited by Computing Power, memory, and latency, capable of running on a single GPU, suitable for edge devices like laptops and tablets. Compared to the previous version, mini-flash utilizes Microsoft’s self-developed innovative architecture, SambaY, resulting in a big pump in inference efficiency by 10 times, with average latency reduced by 2-3 times, achieving a significant improvement in overall inference performance.