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- December ETH Price Prediction · Posting Challenge 📈
With rate-cut expectations heating up in December, ETH sentiment turns bullish again.
We’re opening a prediction challenge — Spot the trend · Call the market · Win rewards 💰
Reward 🎁:
From all correct predictions, 5 winners will be randomly selected — 10 USDT each
Deadline 📅: December 11, 12:00 (UTC+8)
How to join ✍️:
Post your ETH price prediction on Gate Square, clearly stating a price range
(e.g. $3,200–$3,400, range must be < $200) and include the hashtag #ETHDecPrediction
Post Examples 👇
Example ①: #ETHDecPrediction Range: $3,150– - 🔥 Gate Square Event: #GateNewbieVillageEpisode10
👤 Featured Creator: @CHAITHU
💬 Trading Quote: The market doesn’t reward emotions, only patience and discipline.
Charts move — but discipline holds.
Share a moment where patience paid off, or emotions cost you a lesson.
A real story > a perfect result.
⏰ Event Duration: Dec 4 04:00 – Dec 11 16:00 UTC
How to Join
1️⃣ Follow Gate_Square
2️⃣ Post with the hashtag #GateNewbieVillageEpisode10
3️⃣ Share your reflections — strategy, mindset, discipline
Authenticity boosts visibility and your chance to win.
🎁 Rewards
3 lucky participants will recei - 🔥 Gate Square Event: #PostToWinNESS 🔥
Post original content related to NESS or the ongoing HODLer Airdrop for a chance to win from a 5,000 NESS reward pool!
📅 Event Period: Dec 2 – Dec 9 16:00 UTC
📌 HODLer Airdrop Details:
https://www.gate.com/announcements/article/48445
📌 How to Participate:
1️⃣ Post original content related to NESS or the HODLer Airdrop.
2️⃣ Content must be at least 80 words.
3️⃣ Add the hashtag #PostToWinNESS
4️⃣ Screenshot of your Airdrop participation is optional.
🏆 Rewards
🥇 1st Prize (1 winner): 1,000 NESS
🥈 2nd Prize (3 winners): 800 NESS each
🥉 3rd Prize (5
Singapore's national AI project abandons Meta and turns to Alibaba's Qwen model
PANews, November 25 - According to the Shanghai Securities News, the Artificial Intelligence Singapore Agency (AISG) has abandoned the Meta Llama model in its latest Southeast Asian Language Large Model Project, opting instead for Alibaba's Tongyi Qwen architecture. As of now, the global downloads of the Qwen series have exceeded 600 million. It is reported that the “Qwen-SEA-LION-v4” released by AISG on November 25 ranks first in the Southeast Asian language capability leaderboard. Previously, open-source models represented by Meta's Llama series performed poorly when handling regional languages such as Indonesian, Thai, and Malay, severely limiting the development efficiency and performance of localized AI applications.