- Topic
21k Popularity
13k Popularity
101k Popularity
3k Popularity
8k Popularity
- Pin
- 📢 Exclusive on Gate Square — #PROVE Creative Contest# is Now Live!
CandyDrop × Succinct (PROVE) — Trade to share 200,000 PROVE 👉 https://www.gate.com/announcements/article/46469
Futures Lucky Draw Challenge: Guaranteed 1 PROVE Airdrop per User 👉 https://www.gate.com/announcements/article/46491
🎁 Endless creativity · Rewards keep coming — Post to share 300 PROVE!
📅 Event PeriodAugust 12, 2025, 04:00 – August 17, 2025, 16:00 UTC
📌 How to Participate
1.Publish original content on Gate Square related to PROVE or the above activities (minimum 100 words; any format: analysis, tutorial, creativ - 💙 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 - 🎉 The #CandyDrop Futures Challenge# is live — join now to share a 6 BTC prize pool!
📢 Post your futures trading experience on Gate Square with the event hashtag — $25 × 20 rewards are waiting!
🎁 $500 in futures trial vouchers up for grabs — 20 standout posts will win!
📅 Event Period: August 1, 2025, 15:00 – August 15, 2025, 19:00 (UTC+8)
👉 Event Link: https://www.gate.com/candy-drop/detail/BTC-98
Dare to trade. Dare to win.
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.