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- ✈️ Gate Square | Gate Travel Sharing Event is Ongoing!
Post with #Gate Travel Sharing Ambassadors# on Square and win exclusive travel goodies! 💡
🌴 How to join:
1️⃣ Post on Square with the hashtag #Gate Travel Sharing Ambassadors#
2️⃣ You can:
Share the destination you most want to visit with Gate Travel (hidden gems or hot spots)
Tell your booking experience with Gate Travel (flights/hotels)
Drop money-saving/usage tips
Or write a light, fun Gate Travel story
📦 Prizes:
🏆 Top Ambassador (1): Gate Travel Camping Kit
🎖️ Popular Ambassadors (3): Gate Quick-Dry Travel Set
🎉 Lucky Participant - Gate July 2025 Transparency Report:
Accelerating Leadership in the Global Crypto Landscape!
#GateTransparencyReport# - 📢 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
OpenAI Open Source PaperBench, Redefining Top AI Agent Evaluation
Jin10 data reported on April 3rd, at 1 AM today, OpenAI released a brand new AI Agent evaluation benchmark - PaperBench. This benchmark primarily assesses agents' capabilities in search, integration, and execution, requiring the reproduction of top papers from the 2024 International Conference on Machine Learning, including understanding of the paper content, code writing, and experimental execution. According to the test data released by OpenAI, currently, well-known large models' built agents are still unable to outperform top machine learning PhDs. However, they are very helpful in assisting learning and understanding research content.