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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 
1 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 
15 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 
44 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 
52 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 
47 0
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最新的AI模型到底构成多大的网络安全威胁？ 一手编译

New AI models are accelerating the game of cat-and-mouse as cybersecurity experts try to keep ahead of would-be hackers. An AI expert explains the risks.
AI科学News
qimuai 发布于 
66 0
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一项针对痴呆症的血液检测，或许能告诉你是否患有超过一种类型的痴呆。 一手编译

AI helped researchers develop an experimental blood test that might let doctors diagnose overlapping dementias.
AI科学News
qimuai 发布于 
69 0
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人工智能破解了埃尔德什数学难题。如今专家们希望设置护栏。 一手编译

The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to everyone.
AI科学News
qimuai 发布于 
83 0
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人工智能机器人无视证据。我们能否将科学托付给它们？ 一手编译

Scientists rethink their ideas after experiments. AI agents struggle to learn from evidence and recognize when an idea is obviously incorrect.
AI科学News
qimuai 发布于 
70 0
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AI驱动的鲸鱼识别技术或有助于拯救旧金山湾的灰鲸。 一手编译

An AI trained to use thermal images to detect whale body heat could help warn ships at risk of colliding with the marine mammals.
AI科学News
qimuai 发布于 
77 0

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  • twitter-author qimuai 11 个月前

    We’re opening an office in Seattle

    Come join us!

    https://t.co/E9BY2xFU2j

  • twitter-author qimuai 11 个月前

    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 11 个月前

    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 11 个月前

    Jakub and Szymon:

    https://t.co/6qrVNp5Q3u

  • twitter-author qimuai 11 个月前

    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 11 个月前

    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 11 个月前

    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 11 个月前

    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 11 个月前

    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 11 个月前