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AI周报第493期：Meta投入1450亿美元资本支出，裁员8000人 一手编译

Six days after we called $725B a bet on what no one wanted, the receipts started landing. Meta committed $145B to AI infrastructure the same week it began firing 8,000 people. Stan...
AI周刊
qimuai 发布于 
37 0
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加速人工智能在新加坡的影响 一手编译

Today, we’re deepening our AI investments in Singapore through a new partnership.
谷歌新消息
qimuai 发布于 
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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 
42 0
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谷歌凭借 Gemini 3.5 Flash 瞄准企业成本效益 一手编译

The new model allows enterprises to spend less on tokens than they would previously, while one of the newly released agents competes against OpenClaw.
商业视角看AI
qimuai 发布于 
44 0
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谷歌在2026年I/O大会上正式宣布自己成为AI设计领域的有力竞争者。 一手编译

Google says it's designed the app to be accessible to everyone, from teachers to small business owners.
TechCrunchAI大撞车
qimuai 发布于 
36 0
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德米斯·哈萨比斯表示，这或许是‘奇点来临前的初始阶段’。什么？ 一手编译

Welcome to a "profound moment for humanity," according to Google DeepMind CEO Demis Hassabis, who closed out Google I/O's keynote presentation on Tuesday, saying: Google'...
ThevergeAI大爆炸
qimuai 发布于 
33 0
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文学奖项得主正面临AI指控。这感觉像是新常态。 一手编译

Three of five regional winners of the prestigious Commonwealth Short Story Prize are suspected of relying on chatbots. They’re certainly not alone.
连线杂志AI最前沿
qimuai 发布于 
43 0
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实证研究辅助（ERA）：从《自然》期刊发表到催化计算发现 一手编译

Empirical Research Assistance (ERA): From Nature publication to catalyzing Computational Discovery
谷歌研究进展
qimuai 发布于 
38 0
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以下是埃隆·马斯克起诉OpenAI败诉的原因。 一手编译

On Monday, the jury in Musk v. Altman dealt Elon Musk a major blow—reaching a unanimous advisory verdict that he had sued OpenAI too late and, as a result, his claims are barred by...
MIT科技评论
qimuai 发布于 
44 0
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TerraByte 发起行动，旨在利用人工智能释放地理空间数据的潜力 一手编译

Microsoft veterans raise pre-seed funding for an AI platform that sifts through streams of satellite data in search of valuable insights. Read More
Geekwire
qimuai 发布于 
38 0

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  • twitter-author qimuai 9 个月前

    We’re opening an office in Seattle

    Come join us!

    https://t.co/E9BY2xFU2j

  • twitter-author qimuai 9 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 9 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 9 个月前

    Jakub and Szymon:

    https://t.co/6qrVNp5Q3u

  • twitter-author qimuai 10 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 10 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 10 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 10 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 10 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 10 个月前