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AWS推出智能体AI支付功能 一手编译

The tech giant said the update is the first purpose-built payment capability for autonomous agents.
商业视角看AI
qimuai 发布于 
4 0
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人类学金融代理人对传统服务提供商构成威胁 一手编译

The vendor’s new agents could find a home in big Wall Street firms, threaten mid-sized service providers and start to push entry-level finance jobs aside.
商业视角看AI
qimuai 发布于 
8 0
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输入鲍勃——IBM友好的AI编程助手 一手编译

For the long-established tech vendor, the software development lifecycle platform is an accessible entry point for enterprises into the realm of AI coding.
商业视角看AI
qimuai 发布于 
7 0
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人工智能与智能体能够极大增强你的商业模式 一手编译

Equity management firm Carta is an example of how enterprises can use AI and agents to transform and shape their businesses.
商业视角看AI
qimuai 发布于 
9 0
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AI的需求正迅速增长，而支撑其发展的基础设施却未能跟上步伐。 一手编译

From data center capacity to enterprise governance, the systems surrounding AI are struggling to keep pace with demand.
商业视角看AI
qimuai 发布于 
12 0
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Mistral 的模型让你在云端顺畅运行长时间代码。 一手编译

Mistral's approach prioritizes natural language interactions, making coding more accessible while allowing for integration with existing code repositories.
商业视角看AI
qimuai 发布于 
10 0
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Glean 的模型旨在通过人工智能重新定义企业搜索。 一手编译

Waldo highlights the need for task-specific models within enterprises while revealing the changing landscape search vendors face.
商业视角看AI
qimuai 发布于 
15 0
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Meta 借助 AWS 芯片协议扩展其 AI 基础设施 一手编译

The deal is the latest in a spate of major chip pacts as tech giants race to scale up AI compute.
商业视角看AI
qimuai 发布于 
17 0
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Meta公司利用太阳能为数据中心供电 一手编译

The social media giant’s new project with Overview Energy is slated to reach commercialization by 2030.
商业视角看AI
qimuai 发布于 
19 0
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加拿大和德国的人工智能初创公司联手挑战美国的霸主地位 一手编译

The partners hope to provide an AI stack that prioritizes regional independence and regulatory compliance.
商业视角看AI
qimuai 发布于 
22 0

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  • twitter-author qimuai 8 个月前

    We’re opening an office in Seattle

    Come join us!

    https://t.co/E9BY2xFU2j

  • twitter-author qimuai 8 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 8 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 8 个月前

    Jakub and Szymon:

    https://t.co/6qrVNp5Q3u

  • twitter-author qimuai 8 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 8 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 8 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 8 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 8 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 8 个月前