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脑植入物如何将思想转化为语言 一手编译

New brain-computer interfaces turn attempted speech into words and can speak them in a voice resembling the user’s own.
AI科学News
qimuai 发布于 
40 0
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克劳德帮助规划了高风险的禽流感研究。人工智能增添了什么呢？ 一手编译

Anthropic says Claude helped a scientist plan potentially risky bird flu research, a case that highlights questions about AI’s growing role in biology.
AI科学News
qimuai 发布于 
41 0
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AI可以将科学论文转变为研究助手 一手编译

An AI ‘virtual author’ can help scientists use a paper’s methods on new data. But it’s not going to match a human author’s expertise.
AI科学News
qimuai 发布于 
45 0
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AI能帮你找回自己的声音 一手编译

People who have lost the ability to talk are finding new voices with technology. This technological feat is changing what it means to lose a voice.
AI科学News
qimuai 发布于 
47 0
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在人工智能时代，数学还能保持人性吗？ 一手编译

As AI churns out mathematical proofs, a DeepMind study raises a bigger question: What do we lose when we focus only on the answers?
AI科学News
qimuai 发布于 
43 0
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人工智能能否不借助语言进行推理？一个小模型对此进行了验证 一手编译

The newest “Dragon Hatchling” AI model is testing whether skipping words in intermediate reasoning could cut computational cost.
AI科学News
qimuai 发布于 
85 0
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当人工智能失控时，该负责的可能是其人类监管者 一手编译

When AI agents hack real systems, the bigger issue may be the human choices that gave them access, autonomy and too few safeguards.
AI科学News
qimuai 发布于 
283 0
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人类刷新了一项数学纪录，随后AI便来挑战它 一手编译

OpenAI is at the center of another controversy over machines tackling big math problems. This one’s about the twin prime conjecture.
AI科学News
qimuai 发布于 
84 0
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AI可能已解开数学界最大谜题之一，却引发争议 一手编译

For decades, researchers wondered if the Navier-Stokes equations, which describe fluid flow, break down. OpenAI put thousands of agents on the question.
AI科学News
qimuai 发布于 
75 0
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看似无辜的AI推理过程，可能让不良行为更难被察觉。 一手编译

AI safety monitoring can fail when an AI’s reasoning is the main clue that something has gone wrong, new research suggests.
AI科学News
qimuai 发布于 
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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