Keep on to blur preview images; turn off to show them clearly
I forged this knife a while ago (last February) and it’s still my favorite. It’s got a few marks now, but that just adds character. Cut and cooking hits different when your tools have a story :)
Your guide to radiance fields | Host of the podcast @ViewDependent | Founder and CEO of https://t.co/5MjtfpwEU3 | FTP: 279 | discord: https://t.co/lrl64WGvlD
Swags from the @GeminiApp team. Thank you @OfficialLoganK! ❤️
Building software I love to use. https://t.co/p4T2vFZoJ1, https://t.co/y0Lq4RQRsu, https://t.co/KfFdieGrVf. Learn to build and learn to sell, you will be unstoppable.
![Another one (currently writing a tensorized RPN kernel)
Given a N x K tensor X and a N tensor Y, "rotate" the Y first elements of each row of X, e.g.
X = [[1, 2, 3, 4], [10, 20, 30, 40]]
Y = [ 2, 3 ]
result = [[2, 1, 3, 4], [20, 30, 10, 40]]](/_next/image?url=https%3A%2F%2Fpbs.twimg.com%2Fprofile_images%2F1741919776773902336%2FpXUEFYUA_400x400.jpg&w=3840&q=75 "Another one (currently writing a tensorized RPN kernel)
Given a N x K tensor X and a N tensor Y, \"rotate\" the Y first elements of each row of X, e.g.
X = [[1, 2, 3, 4], [10, 20, 30, 40]]
Y = [ 2, 3 ]
result = [[2, 1, 3, 4], [20, 30, 10, 40]]")
Another one (currently writing a tensorized RPN kernel) Given a N x K tensor X and a N tensor Y, "rotate" the Y first elements of each row of X, e.g. X = [[1, 2, 3, 4], [10, 20, 30, 40]] Y = [ 2, 3 ] result = [[2, 1, 3, 4], [20, 30, 10, 40]]
Research Scientist @meta (FAIR), Prof. @Unige_en, co-founder @nc_shape. I like reality.
在 producthunt 上刷到一个不错的工具，可以把推特的 thread 聚合成一篇文章，另外还有 AI 总结（感觉不稳定，试了几次才成功）。我把之前写的迁移到 cloudflare 的 thread 聚合了一下： https://t.co/F1QybmaMAC
脚踏实地做梦/独立开发/降临派/新手奶爸👨🍼
海报来了，欢迎扫码预约，WayToAGI公众号直播。
喜欢摇滚乐、爱钓鱼的PM 网站：https://t.co/vnUpLt752o
最近 Moonshot、Zhipu、MiniMax 连续发布 Kimi-K2-Thinking、GLM-4.6、MiniMax-M2，不断拉近开源模型和 OpenAI、Anthropic、Deepmind、xAI 的差距，也让越来越多美国同行更关注中国 AI 的发展，而在这些快速蹿升的 AI 团队背后，这个名字同样值得关注：阿里巴巴。 阿里巴巴/蚂蚁金服从 10 多年前就是中国 AI 四小龙的重要投资者，商汤和旷视都有它们的投资。 而新的 AI 势力背后同样遍布着阿里系的投资：Moonshot、Zhipu、MiniMax、Stepfun 都获得过阿里系的投资，而阿里系自己也有通义和 Ant Ling 两个重要 AI 实验室，Qwen 和 Ling 系列模型同样很强。 背后有同一个财力和研发实力在线的幕后大佬，有一个好处就是，除了投钱，还能投研发帮你解决 AI 团队不擅长而阿里擅长的问题，AI Infra、高并发等都是大型电商擅长搞定的问题。
专注 - Context Engineering, AI(Coding)Agents. 分享 - AI papers, apps and OSS. ex Microsoft MVP 合作 - 私信/邮箱：shaomeng@outlook.com 📢 公众号/小红书: AI 启蒙小伙伴 🔗 信息卡提示词 🔽
