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Since o1 launched, the biggest complaint is that it's "too verbose." I just wanted to fix a simple bug, and it gave me three background explanations, two solution approaches plus error handling, and then wished me good luck on top of that. I was only looking for a spelling mistake on line 12, but ended up having to review Python naming conventions all over again. This blame falls squarely on RLHF. Annotators tend to give higher scores to longer responses, thinking more text looks more professional. So the model desperately piles up "seemingly useful" filler, while the actual core information g
Today's sharing: From the perspective of cognition, whether a person succeeds has nothing to do with ability, nothing to do with the breadth of vision, and even less to do with emotional intelligence. Small ability can do small things, low vision means I can do what's right in front of me; no emotional intelligence, then do things that don't require communication. None of these matter. What matters is character: whether a person can succeed depends only on their character, which is the foundation. A person can work extremely hard to overcome all difficulties! But I've discovered that the great
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零知識區塊鏈最強大的方面之一是它們將隱私作為基礎,而非可選項。 但這種隱私伴隨著一項挑戰:較低的透明度可能使維持治理和問責變得困難。平衡性能、隱私和信任至關重要。 最終,零知識區塊鏈暗示著一個未來,其中最關鍵的基礎設施也最不可見。信任不是從觀察中建立的,而是從證明中建立的。這些無聲的系統正在重塑我們如何處理數據、在經濟上進行互動以及彼此之間的互動方式。 將定義數字經濟下一個時代的網絡不會是那些暴露最多信息的網絡,而是那些在最大化信任的同時最小化暴露的網絡。 在這個世界中,隱藏變得最強大。零知識區塊鏈可能是無聲的,但其影響是革命性的。通過將驗證與披露分離,它們正在悄然為21世紀重新定義隱私、信任和數字治理。$NIGHT #nit ue es di ti parp 0.0499 -2.82%