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- 🚀 ETH jumped to $4,600 this morning, up 8.69% in 24h!
Just shy of the $4,891 ATH—think it breaks through?
📍 Follow Gate_Square, vote and drop your reason.
🎁 4 winners split $100 Futures Voucher! - 📢 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.
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.