The same signals shaping your experience can also inform what happens behind the scenes.
At the Retail Innovation Lab, SAP’s Industry AI approach connects those signals across merchandising, inventory, fulfillment, supply chain, and customer experience, bringing autonomous commerce to life in a real store environment.
The New York Times sues OpenAI and Microsoft. Internal communications reveal employees acknowledging data ‘theft’ and bypassing paywalls. Discovery in these cases exposes hilarious internal candor, making you wonder why anything is ever put in writing. #TechLaw #Copyright #OpenAI #Microsoft #NYTimes
The Meta VR Start Developer Competition is officially live! 🏆
Over the next eight weeks, we’re inviting VR developers to build a new VR app or significantly update an existing project and enter it for a chance to win your share of the $1M prize pool, including prizes ranging from $20,000 up to $100,000.
Get a head start on building for a new era of VR, and create experiences across entertainment, gaming, and productivity that are designed to enjoy with hands. If your project wins, it could get featured on our developer blog and across Meta social channels. 👀
Submissions close November 18. Terms & Conditions apply. See rules at the link in the comments. 🔗
Get Theme Studio – Massive Introductory Discount
https://payhip.com/LinuxTex
Ubuntu is making a major change to how it delivers Linux kernel updates. Canonical is moving toward approximately WEEKLY Ubuntu kernel releases, replacing the existing 4/2 Kernel SRU model with overlapping two-week update cycles.
But why does a stability-focused Linux distribution suddenly need kernel updates every week?
In this video, we break down what Ubuntu’s new weekly kernel update strategy actually means, how Canonical plans to keep roughly two weeks of testing while releasing updates every seven days, and why this does NOT mean Ubuntu is becoming a rolling-release distribution or shipping a completely new Linux kernel version every week.
We also look at the huge explosion in Linux kernel CVEs. Kernel CVE counts jumped from only a few hundred per year to thousands after the Linux kernel became its own CVE Numbering Authority in 2024. Does that mean Linux suddenly became dramatically less secure? Not exactly.
We’ll also explore how AI-assisted security research is changing Linux kernel development, why AI is finding more potential bugs, and why human maintainers, backporting, verification and regression testing may increasingly become the real bottleneck.
And most importantly: what does all of this mean for your Ubuntu PC?
We cover:
• Ubuntu weekly kernel updates explained
• Canonical’s new Kernel SRU release schedule
• Why Linux kernel CVEs exploded
• Linux kernel security and CVE tracking
• AI-assisted Linux kernel bug discovery
• Ubuntu 24.04 LTS kernel updates
• Weekly kernel updates vs rolling releases
• Whether Ubuntu users will need to reboot every week
• Ubuntu Livepatch and kernel security fixes
• NVIDIA drivers and weekly kernel updates
• DKMS and out-of-tree kernel modules
• Kernel regressions, Wi-Fi and hardware problems
• Booting an older Ubuntu kernel if an update causes problems
• Whether faster kernel releases could affect Ubuntu stability
• What Canonical’s new strategy means for the future of Ubuntu Linux
Ubuntu says the testing process remains intact, with overlapping pipelines allowing one kernel candidate to be tested while the next one is already being prepared. The real question is whether Canonical can maintain the reliability Ubuntu users expect while increasing kernel release frequency this dramatically.
If you use Ubuntu, Ubuntu 24.04 LTS, Linux Mint, GNOME, NVIDIA on Linux, or simply follow Linux kernel security and desktop Linux development, this is a major change worth understanding.
Timestamps:
0:00 Introduction
0:45 So What Actually Changed?
2:55 Why Ubuntu Suddenly Needs This
6:28 Theme Studio
7:36 What This Means for Your Ubuntu Machine
Insight: The Open Source Ecosystem is Powering Enterprise AI and Beyond Open source projects are increasingly at the heart of enterprise AI, with PyTorch and vLLM leading the charge to make agentic inference production-ready. The latest PyTorch Conference North America spotlighted efforts to enhance reliability, observability, and KV cache management for 24/7 enterprise systems. Meanwhile, … Read more
Why This Moment Matters for Open Source Open source is no longer just a proving ground for hobbyists; it’s the backbone of enterprise AI and the digital infrastructure we all rely on. From PyTorch and vLLM powering production-grade agentic inference to KDE celebrating 30 years of community-driven desktop innovation, the theme is clear: open source … Read more
Agentic AI Goes Mainstream: What Open Source Enthusiasts Need to Know Enterprise AI is moving from experimental to essential, and open source is leading the charge. As organizations strive to deploy AI that is reliable, observable, and scalable, projects like PyTorch and vLLM are stepping up with features designed for production workloads. But the real … Read more
Joseph Groenenboom of Red will give two talks at PyTorch Conference North America:
Ecosystem Working Group: Unlocking Community Impact Through the PyTorch Landscape
Created by the PyTorch Foundation in early 2025, the PyTorch Ecosystem Working Group spotlights, through inclusion in the PyTorch Landscape, projects that demonstrate technical excellence and active community engagement in their respective domains. The Landscape includes projects that are both Foundation-hosted and community-hosted. With more than 70 active Landscape projects, including Helion, SGLang, and vLLM, membership creates opportunities for broader impact and recognition within the PyTorch community. In this session, led by the Ecosystem Working Group, you will learn:
– What the Ecosystem Landscape is and why it matters: how membership drives visibility and community engagement for independent projects
– How to apply: a lightweight, GitHub-based process that makes it straightforward for projects to apply for ecosystem status
– How lifecycle management works: what ongoing membership looks like and how the Working Group supports active projects
Attendees will leave with a clear understanding of the benefits of joining the Landscape, the minimum governance standards to qualify for inclusion, and will have the opportunity to meet working group members.
Making Enterprise Agentic Inference Production-Ready with PyTorch and vLLM
While serving AI models for research and pilot use cases is a well solved problem, moving it to 24/7 Enterprise ready systems is the next important phase in AI maturity. The reliability, observability, KV cache management, and concurrency requirements for Enterprise readiness are non-trivial problems. Rising to this challenge, PyTorch, vLLM, and the other foundation projects and broader ecosystem have begun adding Enterprise level features and enhancements.
In this session we will cover the various upstream work committed to helping PyTorch and its ecosystem support Enterprise workloads. This talk will cover a sampling of some of the project work; from core PyTorch project build infrastructure up to model serving improvements to account for tool calling support and long context multi-turn chat.
You will leave this session not only with a deeper understanding of what Enterprise ready” actually entails but also understanding how those changes can be created in a large, diverse, open source ecosystem. There will be code shown and tales shared from the engine room.
Join us in San Jose, October 20-21: https://hubs.la/Q04v4SL60
Video by CNCF [Cloud Native Computing Foundation] via YouTube
Showing up, sharing knowledge, and connecting people is how open source grows. CNCF Ambassador Leon Nunes reflects on three years of building community across working groups and global events.
Every talk given and every connection made opens new pathways for builders everywhere.
Join the cloud native community in person at KubeCon + CloudNativeCon: https://events.linuxfoundation.org/kubecon-cloudnativecon-north-america/
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