All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
An AI might seem [music] like magic, but we're going to learn how it works using simple language. >> [music] >> Hooray! Stack Quest. Hello, I'm Josh Starmer and welcome to Stack Quest. Today, we're going to talk about how AI works in super simple terms. This Stack Quest is…
Fit a line to your data, then figure out if it's any good at making predictions. Hooray! StatQuest. Hello, I'm Josh Starmer, and welcome to StatQuest. Today, we're going to talk about the essence of linear regression. This StatQuest is brought to you by the letters A, B, and C.…
[applause and cheering] [applause] >> Thank you very much. It is good to be here. I don't know if you people realize what a beautiful campus you have and how you basically just study in heaven. Today, I want to talk with you about what I think is one of the most…
You start with nothing, then you move. And you keep on moving till you can't get any more, then you're [music] done. StatQuest, bam. Hello, I'm Josh Starmer and welcome to StatQuest. Today, we're going to talk about optimization with linear programming main ideas. Specifically,…
[Переведено AI. Отправляйте исправления на criblate.com] Каждый раз, когда я делаю одно из таких видео, иногда случается особый момент, когда сам процесс анимации сводится к решению целой кучи мелких технических головоломок, и потом математика, которую я пытаюсь объяснить, вдруг…
We're going to find the optimal solution one row at a time. Stack Quest. Hello, I'm Josh Starmer and welcome to Stat Quest. Today we're going to talk about the simplex algorithm and we're going to go through the mathematical details. This stack quest is brought to you by the…
Sometimes drop out is all you [music and singing] need. Hooray! StatQuest. Hello, I'm Josh Starmer and welcome to StatQuest. Today we're going to talk about the GELU, SELU, and SWIGLU activation functions and they're going to be clearly explained. This StatQuest is brought to…
[Submit subtitle corrections at criblate.com] When you encode text into binary, it's often nice to use as little data as possible, so you might naturally wonder, is there some kind of fundamental limit on how efficiently text can be compressed? The default encoding with ASCII is…
Hibernate and Evolving: Taming OpenClaw With OpenKruise Agents - Zhang Zhen, Alibaba Cloud
Clearly like models are exciting. You know, as an engineer, I always love going playing with the latest model out there. There seems to be so many of them out there that you could choose from, which is great. And I'm happy to see there's a lot of open options out there. But I…
Hey everyone. Thank you everyone for joining. Yeah, as Milly said, I'm the founder of Zalando, but I'm also maintainer at Open Everest. And if I were giving this talk with a better title, I would say that it's from vendor lock-in to true open source. What Open Everest does in a…
Project Lightning Talk: Multi-cluster Orchestration System: Karmada Updates and ... - H. Ren & Y. Ci
Project Lightning Talk: Run Sandbox Securely and Cost-Effectively With OpenKruise Agents - Z. Zhen
Thank you. Hi everyone. Welcome to my session. My name is Emily. I'm a CNCF ambassador and I'll be talking about the Headlamp project, which I find very cool personally. So, for those of us that work in the cloud-native field, we spend a lot of time writing kubectl in the…
超越多模态：通过 Open-Weight 构建全模态 AGI - Ryan Lee，MiniMax
Dragonfly V2.5.0 - 人工智能基础设施中的介绍、更新、数据分布 - Wenbo Qi 和 Chenyu Zhang
基于 Kubernetes + KEDA 的潮汐式自动缩放训练和推理 - Jun Cheng 和 Tan Pei Shang
项目闪电演讲：Atlantis：云原生团队的 Terraform Pull 请求自动化 - R. Chen
乔纳森·波拉斯基（Jonathan Polasky），三星科技，三星，三星，标记，韩国三星科技，三星。 CNCF，学习路径对很多人开放，学习路径，一切都是pi-touch，学习路径，她的层，太阳的丛林，她，你燃烧它们。变成了呼叫。原生色，来，打开图层，...
Cilium 岁月：连接、保护和简化云网络 - L. Huang、T. Ye 和 Y. Su
大家好，我是来自英特尔印度研究院的 Majid，我很高兴能在今年 10 月的 PyTorch 北美会议上发表演讲。我将讨论使用 VLLM 和 OpenVINO 的专家 LLM 推理的有效组合，以及我们如何在 ARM CPU 上高效运行这些模型。如果…
不断发展的 AI Argo 工作流程：新功能、调整和多租户隔离 - S. Tian 和 Y. Su
项目闪电演讲：KubeEdge Everywhere：最新项目更新和工业案例 - H.Zhang
All right. Uh, thanks for joining today and um, so my name is Daniel uh, from Redhead and also IBM from Boston. It's a long way. Uh, we got here a couple days ago and then but we still a little bit jet lag. Anyway, so so we're going to talk about little bit about the…
Hi, I'm Rishi from AMD. Within distributed training, communication is one of the primary bottlenecks, and limiting the time spent on communication can massively boost end-to-end performance. We investigate this hypothesis by integrating work from the Rickle team to use…
Hello everyone, I'm Sadiq Allah. I'm a PyTorch Ambassador and an open source developer at IBM. I'll be at the PyTorch conference 2026 in San Jose and I'm excited about many things. About learning, meeting fellow ambassadors, catching up with friends in the community and…
Hello, my name is Souvik and I work at hugging face. I'm going to be at the PyTorch conference 2026 and I will be talking about how you can get started with using the PyTorch profiler on your models. And how you can extract the maximum efficiency from them. Come join us on…
Здравствуйте, я Лиз Ли из AMD. >> Здравствуйте, я Джек Хуай из AMD. >> Современные рабочие нагрузки ИИ зависят от растущего спектра специализированных ядер GPU, и ни один бэкенд генерации ядер не является оптимальным для всех форм операторов и архитектур. Мы исследуем эту…
Hi, I'm G from Google. >> I'm Colin from Meta. >> I'm Angela from Meta. >> We are going to be speaking at the PyTorch conference San Jose about new VLM and SG learn engines built on a new PyTorch native TPU backend torch TPU. >> Rather than build a new serving engine or porting…
So we know the Earth is getting warmer. We understand climate change at a big picture, but we're struggling to predict the details of what that means for the Earth. NeuralGCM is a new kind of atmospheric model. We feel it has potential to transform how we understand climate.…