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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
Black Forest Open Source new model, one-click PS implemented only with text
Jin10 data reported on June 27, early this morning, the well-known Open Source platform Black Forest released the developer version of the text-to-image model FLUX.1-Kontext. Simply put, the main feature of the FLUX.1-Kontext developer version allows users to edit images with a single click through natural language, similar to PS. According to the test data released by Black Forest, the FLUX.1-Kontext developer version surpassed the latest text-to-image model GPT-image-1 released by OpenAI in human preference evaluation, command editing, text insertion and editing, style reference, and other benchmark evaluations, becoming one of the strongest open-source text-to-image models currently available.