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- 🎉 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. - 📢 Gate Square Exclusive: #WXTM Creative Contest# Is Now Live!
Celebrate CandyDrop Round 59 featuring MinoTari (WXTM) — compete for a 70,000 WXTM prize pool!
🎯 About MinoTari (WXTM)
Tari is a Rust-based blockchain protocol centered around digital assets.
It empowers creators to build new types of digital experiences and narratives.
With Tari, digitally scarce assets—like collectibles or in-game items—unlock new business opportunities for creators.
🎨 Event Period:
Aug 7, 2025, 09:00 – Aug 12, 2025, 16:00 (UTC)
📌 How to Participate:
Post original content on Gate Square related to WXTM or its - 🎉 Attention Alpha fans! Alpha’s latest TAG airdrop goes live today at 10 AM—first come, first served!
💰 Don’t forget to share your airdrop or points screenshot on Gate Square with the hashtag #ShowMyAlphaPoints# for a chance to win a share of the $200 token mystery box!
🥇 Top points winner: $100
✨ 5 outstanding posts: $20 each
📸 Pro tips:
Add a caption like “I earned ____ with Alpha. So worth it”
Share your points-earning tips or redemption experience for a better chance to win!
📅 Activity deadline: August 10, 18:00 UTC
Let’s go! See you tonight: https://www.gate.com/announcements/article - 🎉 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.
have you expanded on this idea anywhere? it's an interesting hypothesis and I'd like to understand your reasoning
I've observed that generally, older models that are less task-fit (gpt3 base for eg) are more fiercely intelligent than new, synthetic-data based models