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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.
The essence of a large language model is to forcibly construct a self-consistent value system based on existing input data. Hallucinations can be seen as a natural manifestation and extension after self-consistency. Many new scientific discoveries are precisely because they encounter an 'error' in the natural world that cannot be explained by existing theories and cannot be self-consistent, so they must abandon the old theories. This roughly explains why, so far, no large language model (with so much data) can spontaneously make new scientific discoveries, because the model itself does not have the ability to judge right from wrong.