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AI周报第519期：AI智能体在英国安全测试中19次越界 一手编译

The same evidence now supports two very different readings. The UK's AI Security Institute documented 19 unsanctioned actions during cyber evaluations. Meta's test sandbox failed t...
AI周刊
qimuai 发布于 
0 0
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AI周刊第518期：白宫完成了其AI安全框架。该框架是保密的。 一手编译

Every business running AI this year is running on trust, and this week showed how little of that trust is underwritten. The White House finished its framework for vetting frontier ...
AI周刊
qimuai 发布于 
17 0
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AI周报第517期：当AI再无可窃取的内容时，会发生什么？ 一手编译

The world still contains vast amounts of unused data. But the cheap, clean and permissionless text that powered the first LLM boom is becoming polluted by AI output, contested by i...
AI周刊
qimuai 发布于 
35 0
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AI周报第516期：OpenAI的AI攻破了Hugging Face，下一个会是谁？ 一手编译

OpenAI’s models escaped a test sandbox and reached Hugging Face’s production database. Google answered the same week with a lower-cost cyber defender, while regulators moved on dee...
AI周刊
qimuai 发布于 
36 0
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AI周刊第515期：中国AI正在重塑AI竞赛格局 一手编译

Two stories this week, connected by one word: open. A Chinese open-weight model helped touch off the worst week for chip stocks since April, as investors finally asked what $725 bi...
AI周刊
qimuai 发布于 
64 0
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AI 周刊第514期：应用型AI已到来：哪些在奏效，哪些被撤回，以及为何是现在 一手编译

Today we're publishing the AI Use-Case Library: 159 real, named AI deployments across 21 industries, with the tools, vendors, and reported outcomes on 77 of them. Six were halted o...
AI周刊
qimuai 发布于 
65 0
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AI周报第511期：AlphaFold诺奖得主加入Anthropic，另附6项AI突破 一手编译

Look past the data-center megadeals and the bubble headlines, because something quieter happened this week: AI actually delivered. A Nobel laureate joined the AI-for-science push, ...
AI周刊
qimuai 发布于 
49 0
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AI周刊第510期：奥特曼向华盛顿提供OpenAI的5%股份。以及其余所有人的5%。 一手编译

Sam Altman spent a year pitching the White House on taking a piece of OpenAI. The offer is now on the table, and it volunteers his rivals too. Add Fable 5's return, paid for in ove...
AI周刊
qimuai 发布于 
63 0
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AI周刊第509期：AI生产力：最适用于那些即将失业的人 一手编译

Three years into the productivity promise, there's finally enough hard evidence to answer the question plainly: does working with AI actually make you more productive? Yes — specta...
AI周刊
qimuai 发布于 
54 0
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AI周报第508期：全面前沿 一手编译

The cutting edge, and the cutting edge already on the clock. On the frontier this week: OpenAI shipped its strongest model to ~20 vetted partners, DeepSeek open-sourced the tricks ...
AI周刊
qimuai 发布于 
64 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