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面向人工智能的网络数据基础设施层的出现 一手编译

AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information ...
MIT科技评论
qimuai 发布于 
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物理学家如何追踪并捕获难以捉摸的中微子 一手编译

The hunt for these ghostly particles has required some of the most audacious experiment setups ever built. The post How Physicists Track and Trap the Elusive Neutrino fi...
quanta
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微软表示，随着公众担忧加剧，其数据中心用水量比早期设施减少90% 一手编译

Microsoft announced Wednesday that over the past two decades, it has become dramatically more efficient in its use of water… Read More
Geekwire
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最佳Prime Day精选：Garmin、Oura及其他健身可穿戴设备优惠 一手编译

Watches and trackers from Whoop, Oura, Garmin, and more are on sale for Prime Day.
LifeHacker
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Superhuman 已收购 AI 真实性服务 GPTZero 一手编译

It's an odd-seeming move for a company selling an AI writing assistant.
Engadget
qimuai 发布于 
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迈向一个无人对自然灾害感到惊讶的世界 一手编译

An overview of Google’s ongoing crisis resilience efforts and mission, shared at the AI for the Planet event.
谷歌新消息
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63 0
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人工智能如何重塑欧洲的数字主权辩论 一手编译

Strategies for governments to more effectively pursue AI sovereignty.
商业视角看AI
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印度MoEngage公司押注，市场营销的未来在于数以百万计的AI智能体。 一手编译

The all-cash deal gives MoEngage access to technology that assigns AI agents to individual customers.
TechCrunchAI大撞车
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谷歌Home很快将更准确地识别你 一手编译

A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you're facing away from the camera. Starting June 23rd, Go...
ThevergeAI大爆炸
qimuai 发布于 
42 0
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这台价值4亿美元的机器，正驱动着芯片制造的未来。 一手编译

Jos Benschop is climbing a ladder to get to the top of his newest machine.  It’s a bit of a schlep. The contraption is the size of a double-decker bus—more than 150 tons of gleamin...
MIT科技评论
qimuai 发布于 
40 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