- Topic
3k Popularity
90k Popularity
121k Popularity
5k Popularity
2k Popularity
- Pin
- 🚀 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.
📌 What exactly makes @Mira_Network feel different?
I think for most AI projects, the endgame is always the same: solving the training dilemma.
Basically: If you train a model to be more accurate, it often gets more biased.
But if you try to fix the bias by using broader, more diverse data… you usually end up with more hallucinations.
However, @Mira_Network takes a different route.
Instead of obsessing over one perfect model, they get multiple models to verify each other.
And it works-error rates drop from ~30% down to ~5% on real tasks.
They’re even aiming for below 0.1%, which is wild.
You can already see it live:
✨ If you’re using Gigabrain, you’re trading on Mira-verified signals with a 92% win rate
✨ Learnrite builds exam questions with over 90% factual reliability
✨ Klok gives you responses verified by 4+ models every single time
None of those apps require retraining a model from scratch. That’s what $Mira enables.