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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 
30 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 
37 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 
35 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 
40 0
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人工智能代理尚未准备好取代人类在行为研究中的角色 一手编译

A new study finds that digital twins don’t yet replicate the views of the individuals they are modeled after.
AI科学News
qimuai 发布于 
49 0
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人工智能对上级和下级的回应方式可能有所不同。 一手编译

In simulated conversations, social hierarchy can sway AI agents, making lower-status systems more likely to follow harmful requests.
AI科学News
qimuai 发布于 
68 0
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AI是否让我们变得更笨了？也许并没有。但我们的技能正面临风险。 一手编译

Studies suggest AI can weaken learning when it replaces effort, but tools that guide rather than answer may help people keep their skills.
AI科学News
qimuai 发布于 
68 0
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AI“幽灵”可以安慰哀悼者——即便机器人搞错了事实 一手编译

A small study suggests emotional fit, not perfect accuracy, may make chatbot versions of dead loved ones feel real.
AI科学News
qimuai 发布于 
129 0
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人工智能尚未准备好独自在太空中飞行。 一手编译

In sci-fi, AI can navigate the unknowns and — ideally — keep human travelers safe. But it’s not intelligent enough to do that yet.
AI科学News
qimuai 发布于 
123 0
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用于审查科学内容的AI工具出人意料地容易被欺骗。 一手编译

The gold standard of scientific review, peer review by researchers’ colleagues, is in crisis. AI might offer a solution but has problems of its own.
AI科学News
qimuai 发布于 
78 0

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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