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- 🎉 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
OpenAI employees publicly accuse Grok3's Benchmark test results of being misleading
Jinshi Data News on February 23rd, recently, an employee of OpenAI publicly accused XAI, a company owned by Elon Musk, of releasing misleading Benchmark test results for its latest AI model, Grok3. In response, Igor Babushkin, co-founder of XAI, insisted that the company did nothing wrong. XAI's charts show that both versions of Grok3 - Grok3 Reasoning Beta and Grok3 mini Reasoning - outperformed OpenAI's current strongest available model, o3-mini-high, on AIME 2025. However, OpenAI employees quickly pointed out on the X platform that XAI's charts did not include the AIME 2025 score of o3-mini-high under the 'cons@64' condition. Babushkin argued on the X platform that OpenAI had also released similar misleading Benchmark test charts in the past, although these charts were used to compare the performance of their own models.