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量子世界在哪里结束，我们的世界从哪里开始？ 一手编译

Jonathan Halliwell explains how quantum decoherence is key to understanding how we transition from a world with a wave-like nature of matter and energy to the classical macroscopic...
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qimuai 发布于 
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栉水母不仅美丽，更是生物学奇迹。 一手编译

Comb jellies are helping answer fundamental questions in biology, from how the earliest nervous systems evolved to how bioluminescence works. The post Ctenophores Aren’...
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黑洞还是黑洞星？天文学家就韦布望远镜的“小红点”争论不休。 一手编译

The James Webb Space Telescope spots mysterious “little red dots” everywhere. A bold new theory suggests they’re suns dozens of times larger than our entire solar system. ...
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为什么这些化石贝壳每隔几千年就会翻转螺旋方向？ 一手编译

The mystery of the flipping foraminifera may conceal a rarely observed evolutionary process playing out across the planet. The post Why Do These Fossil Shells Flip Their...
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四色定理罕见地获得了新证明 一手编译

By revisiting the famous problem — which was controversially solved in the 1970s with the help of computers — mathematicians have gained important new insights into the nature of g...
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数学中神秘的朗兰兹纲领究竟关乎什么？ 一手编译

Hidden correspondences hint at a deeper structure to the mathematical universe. Our columnist unpacks one of those connections and asks mathematicians what they might mean. ...
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来自2026年国际数学家大会现场报道：在人工智能时代，数学有何用？ 一手编译

In this special live recording from the International Congress of Mathematicians in Philadelphia, July 2026, the central question discussed was what do mathematicians really value ...
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基因组复制是一场激进的进化豪赌 一手编译

By doubling their entire genome, organisms can evolve extremely rapidly — or they can lose it all. New studies reveal how to survive the high-risk, high-reward evolutionary event. ...
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“惊人的”逾渗证明解决了关于相变的数十年难题 一手编译

Mathematicians found that a broad class of networks will abruptly shift behavior past a critical point. The post ‘Stunning’ Percolation Proof Solves Decades-Old Puzzle A...
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“惊人”的渗流证明解决了关于相变的数十年谜题 一手编译

Mathematicians found that a broad class of networks will abruptly shift behavior past a critical point. The post ‘Stunning’ Percolation Proof Solves Decades-Old Puzzle A...
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  • twitter-author qimuai 1 年前

    We’re opening an office in Seattle

    Come join us!

    https://t.co/E9BY2xFU2j

  • twitter-author qimuai 1 年前

    Get through PDFs effortlessly with Grok.

    Highlight any section and click "Explain" to have Grok help you understand it.

    Or click "Quote" to ask a specific question. https://t.co/epQt4Nypfw

  • twitter-author qimuai 1 年前

    i have had the strangest experience reading this: i assume its all fake/bots, even though in this case i know codex growth is really strong and the trend here is real.

    i think there are a bunch of things going on: real people have picked up quirks of LLM-speak, the Extremely Online crowd drifts together in very correlated ways, the hype cycle has a very "it's so over/we're so back" extremism, optimization pressure from social platforms on juicing engagement and the related way that creator monetization works, other companies have astroturfed us so i'm extra sensitive to it, and a bunch more (including probably some bots).

    but the net effect is somehow AI twitter/AI reddit feels very fake in a way it really didnt a year or two ago.

  • twitter-author qimuai 1 年前

    Jakub and Szymon:

    https://t.co/6qrVNp5Q3u

  • twitter-author qimuai 1 年前

    有时候会觉得，写的这些东西都太浅显了，发到朋友圈会不会被加的大V们嘲笑？如果有这个想法，肯定是做不好自媒体的。

    除非大V们是你的目标用户，否则永远不要让其他无关的人左右你的选题。

    你应该只关注，你的目标用户需要什么。

  • twitter-author qimuai 1 年前

    人类在学习新知识或解决新问题时，往往不是直接“改写大脑参数”，而是通过“记笔记”或“自我提醒”的方式，将经验和策略以显式的形式保留下来。

    例如，当你遇到某类问题时，会总结出“下次遇到类似情况可以这样做”的经验。这种方式更像是在不断编辑自己的“系统提示”，而不是每次都重新训练大脑。

  • twitter-author qimuai 1 年前

    此时常有人问该选哪个模型。我的答案永远是：工作环境允许的最强模型。我们不是大规模使用AI，所以即使工程角度认为"贵"或"慢"，也要选最好的大脑。（唯一限制应是公司对敏感信息上传的规定。）

  • twitter-author qimuai 1 年前

    成功与思考伙伴（人或机器）协作的关键在于取其精华去其糟粕

  • twitter-author qimuai 1 年前

    引用David Lieb（YC合伙人、Google Photos创始人）的话："你的直觉是世界上最复杂的机器学习模型。"使用生成式AI时，用你的专业品味识别有价值的内容。

  • twitter-author qimuai 1 年前