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AI周刊第542期：未来一周AI展望：数据中心暂停支持者或赢下15场州长竞选 一手编译

This issue is about the week ahead, and something is scheduled almost every day. On Tuesday, US voters choose 36 governors, and in up to 15 of those races the candidate who backs a...
AI周刊
qimuai 发布于 
35 0
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AI周报第541期：科技巨头周三公布AI支出，CoreWeave债务陷入困境 一手编译

This issue looks ahead. On Wednesday the Fed announces its rate decision, then Microsoft and Alphabet report after the close. Amazon follows on Thursday. Investors want to know whe...
AI周刊
qimuai 发布于 
39 0
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AI周刊第540期：AI发现软件漏洞的速度快于团队修复的速度 一手编译

This Applied AI edition looks at what organizations actually did with AI over the past two weeks, drawn from our Use-Case Library and from SEC filings. Three things stand out: AI n...
AI周刊
qimuai 发布于 
55 0
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AI周报第539期：AI制作的中期选举广告花费超1.37亿美元，其中70%未标注AI 一手编译

Campaigns and PACs have spent more than $137 million on AI-generated or AI-enhanced midterm ads, and about 70% of them carry no AI label, the New York Times reported. The biggest p...
AI周刊
qimuai 发布于 
50 0
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AI周报第538期：美国联邦贸易委员会要求OpenAI和Anthropic提供安全事故记录 一手编译

The FTC sent OpenAI and Anthropic 50-page demands for records on security incidents, safeguards, marketing and privacy, Axios reported. Meta's new business terms, effective October...
AI周刊
qimuai 发布于 
48 0
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AI周报第537期：Anthropic称AI模型可能很快自我复制到智能冰箱上 一手编译

This issue is built from the links the AI experts we follow shared most since our last issue on October 8, minus the stories we already sent you in the Daily Espresso. The most sha...
AI周刊
qimuai 发布于 
51 0
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AI周报第536期：顶尖AI模型未能通过发明新AI研究的测试 一手编译

This issue is built from the links the AI experts we follow shared over the past three days. Most of them look ahead: whether AI can do AI research on its own, who gets a say in go...
AI周刊
qimuai 发布于 
48 0
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AI周刊第535期：AI成本过高，企业转向更便宜的模型 一手编译

This Applied AI edition looks at what organizations actually did with AI over the past three weeks. Three patterns stand out: companies switching models to control cost, large depl...
AI周刊
qimuai 发布于 
56 0
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AI周报第534期：大学无法通过评分来应对人工智能 一手编译

This week, campus IT leaders voted AI their top priority for the first time, Cambridge refused Turnitin's new terms over AI training on student work, Dartmouth opened an investigat...
AI周刊
qimuai 发布于 
46 0
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AI周报第533期：Meta在其AI电话代理背后测试了人工接线员 一手编译

The AI story of September 22–28 was not simply that agents became more capable. It was that their hidden handoffs became visible: a supposedly automated call could reach a contract...
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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