科技大佬的X

// DECODING THE FUTURE, ONE TWEET AT A TIME //
11
推文总数
14
关注用户
2026-08-25 18:16
最后更新
Andrew Ng
Error 500 (Server Error)!!1500.That’s an error.There was an error. Please try again later.That’s all we know.
OpenWorker -- an open source agent that doesn't just chat but completes tasks on your laptop -- just released a new version with many features for security workflows. After our initial release, many users found it especially useful for cybersecurity. Attackers are already using Show more
Andrew Ng
在捍卫人工智能开放性的斗争中,Marin 项目是模型训练开放性的宝贵示范,开放代码、数据、配方,甚至实验结果。公开发布人工智能研究曾经是常态;我很感激
In the fight to defend openness in AI, the Marin project is a precious demonstration of openness in model training, with open code, data, recipes, even experimental results. Releasing AI research openly used to be the norm; I'm grateful for
Andrew Ng
构建和部署人工智能应用程序最重要的技能。文章人工智能工程技能地图:构建和部署人工智能应用程序我之前写过有关人工智能工程技能地图的文章,最高级别的技能是(i)构建和部署人工智能应用程序,(ii)软件工程基础知识,(iii)使用编码......
The most important skills in Building and Deploying AI Applications. Article AI Engineering Skills Map: Building and Deploying AI Applications I previously wrote about our AI Engineering Skills Map, with the highest level skills being (i) Building and deploying AI applications, (ii) Software engineering fundamentals, (iii) Using coding...
Andrew Ng
新内容:人工智能工程中最重要技能的地图。文章人工智能工程技能地图我很高兴向大家介绍人工智能工程技能地图。人工智能使我们能够以与今天截然不同的方式构建软件,并且每个有能力利用这种转变的技能的人都有很多......
New: A map of the most important skills in AI Engineering. Article The AI Engineering Skills Map I am delighted to present The AI Engineering Skills Map. AI allows us to build software very differently today than in and everyone with the skills to take advantage of this shift has numerous...
Andrew Ng
感谢 Mark、Alex 和整个 Meta 团队对开放式重量 AI 的贡献。 转发 @Mark Zuckerberg:今天我们还开放了 Muse Glimmer 的权重,这是一个可以在本地运行的出色的 30B 参数密集模型。很快我们还将发布最新基础模型 Muse Spark 1.2 的权重。 Meta 是开源的坚定支持者,我为这些版本感到自豪。恭喜
Thank you Mark, Alex and the whole Meta team for your contributions to open weight AI. RT @Mark Zuckerberg: Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats
Andrew Ng
今天,我们还开放了 Muse Glimmer 的权重,这是一个可以在本地运行的出色的 30B 参数密集模型。很快我们还将发布最新基础模型 Muse Spark 1.2 的权重。 Meta 是开源的坚定支持者,我为这些版本感到自豪。恭喜
Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats
Andrew Ng
恭喜@JeffDean、@Sanjay_Ghemawat、@OriolVinyalsML 和@quocleix!认识你们,这将是令人惊奇的。为您加油并祝愿您在重要的工作中一切顺利! 转发 @Jeff Dean:宣布 Discovery Loop!我非常高兴地宣布,与我的长期朋友和合作者 @Sanjay_Ghemawat、@OriolVinyalsML 和 @quocleix 一起,我们正在创立 Discovery Loop (@DiscoLoopAI),这是一家公益公司,其使命是实现机器自动化
Congratulations @JeffDean, @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix! Knowing you guys, this will be amazing. Cheering you on and wishing you well on your important work! RT @Jeff Dean: Announcing Discovery Loop! I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine
Andrew Ng
宣布探索循环!我非常高兴地宣布,与我的长期朋友和合作者 @Sanjay_Ghemawat、@OriolVinyalsML 和 @quocleix 一起,我们正在创立 Discovery Loop (@DiscoLoopAI),这是一家公益公司,其使命是实现机器自动化
Announcing Discovery Loop! I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine
Andrew Ng
十五年前,@Coursera 和在线课程改变了教育。它的效果比几乎任何人预期的都要好,通过开放可以学习的地方来扩大访问范围。但你的学习方式与几个世纪以来的情况大体相同:它仍然是一刀切的,教学方式也是一样的
Fifteen years ago, @Coursera and online courses changed education. It worked better than almost anyone expected, expanding access by opening up where you can learn. But how you learn remains largely the same as it has for centuries: it is still one-size-fits-all, taught the same
Andrew Ng
@JensenHuang 的好举动。 Nvidia 的信写得很好,值得一读。正如我们在 OpenAI-Hugging Face 黑客攻击中看到的那样,我们需要开放模型和安全带来进行防御。让我们停止相信封闭模型更安全的公关。 - 这只是监管捕获。 转发 @Jensen Huang:攻击者拥有前沿人工智能。捍卫者需要一个前沿的人工智能生态系统——最好的开放和封闭模型,并通过全球社区进行力量倍增。在抱脸事件中,封闭的人工智能阻碍了必要的取证。开放权重边界模型有助于遏制入侵。
Good move by @JensenHuang. The Nvidia letter is well written and worth reading. As we saw with the OpenAI-Hugging Face hack, we need open models and harnesses for defense. Lets stop believing the PR that closed models are safer. - that's just regulatory capture. RT @Jensen Huang: Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community. During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion.
Andrew Ng
2026 年我们推动 AI 的方式与 ChatGPT 刚出来的 2022 年有很大不同。我正在教授一门新课程,即《面向所有人的人工智能提示》,以帮助您成为人工智能高级用户——无论您当前的技能水平如何。它涵盖了适用于 ChatGPT、Gemini、Claude 和其他 AI 的技能
How we prompt AI is very different in 2026 than 2022 when ChatGPT came out. I'm teaching a new course, AI Prompting for Everyone, to help you become an AI power user — whatever your current skill level. It covers skills that apply across ChatGPT, Gemini, Claude, and other AI