Did Blue Origin’s New Glenn rocket just blow their moon dreams? See what went wrong, how bad the damage is, and what it means for NASA contracts—straight from This Week in Space. http://twit.tv/twis/212 #BlueOrigin #NewGlenn #RocketExplosion #NASA
Have you ever wondered how one of the world’s biggest animation studios powers its massive creative pipeline? In this exclusive interview, I sit down with Randy Packer from DreamWorks Animation, to go behind the scenes of their legendary workflow. Randy shares his insights into how they use Linux, Open Source tools, and what it’s like working on blockbuster franchises and much more.
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### SHOW NOTES ►► https://tuxdigital.com/videos/how-dreamworks-uses-linux-open-source-to-create-blockbuster-movies/
### Chapters:
00:00 Intro
01:04 Interview with Randy Packer
01:33 What is MoonRay?
02:41 Why did DreamWorks decide to Open Source MoonRay?
04:44 How Open Source is it? Can people contribute to the project?
05:25 What is the Arras system?
06:49 How much does DreamWorks utilize Open Source?
08:00 What operating system does DreamWorks use for rednering?
08:55 How long does it take to make a DreamWorks movie?
09:23 What is the most time intensive part of the movie making process?
10:25 How often do you make new tech for the movies?
11:06 Is the tech involved in deciding the style of a movie?
12:19 Storyboarding vs PreViz
13:31 How many are involved in making a DreamWorks film?
15:24 How do you balance the speed of Software Development with speed of Film Production?
18:09 Day in the Life of a Senior Manager at DreamWorks
20:53 What is your favorite part about working at DreamWorks?
22:42 Favorite part about the Ubuntu Summit?
24:46 Do you use Linux personally? If so, which distro?
25:55 What was your first experience with Linux?
26:24 I share a story about my early days in Linux
27:07 Have you been known to distrohop?
27:29 Does DreamWorks use Linux?
27:53 Star Wars vs Star Trek?
30:25 Marvel vs DC?
30:59 Any last comments before we wrap?
32:06 Wrap up
32:15 Outro
There’s a new, faster way to go from ""something’s broken"" to ""here’s exactly what’s wrong.""
Horizon Debug Bridge (hzdb) connects your favorite AI coding assistant to 40+ Meta Quest development tools so you can find and fix bottlenecks, bugs, and crashes faster.
Observability has become a critical dependency for modern cloud and AI infrastructure, yet fragmentation across tools and vendors has left engineering teams stitching together incomplete pictures. As AI agents and GPU-native clouds introduce new instrumentation demands, the cost of gaps in telemetry data is rising fast.
In this exclusive interview with Swapnil Bhartiya at TFiR, Chris Aniszczyk, CTO at CNCF, breaks down the graduation of OpenTelemetry and what it means for every engineering team building on cloud native and AI infrastructure. From the early brokered meeting that merged OpenTracing and OpenCensus into a single standard, to the emerging work on agent tracing and GPU-first cloud observability, Aniszczyk explains why OTel is now the Kubernetes of the observability world.
Key Topics Covered:
– Why OpenTelemetry graduation signals long-term sustainability and vendor-neutral governance, not just adoption
– How OTel’s four pillars, metrics, logs, traces, and profiling, map to AI and agentic workload requirements
– Emerging specifications including LLM observability extensions and Open Inference for inference-based workloads
– Why neo-clouds and GPU-first providers such as CoreWeave and Lambda need a step change in observability maturity
– How OTel enables vendor optionality across Datadog, Grafana, Honeycomb, and hyperscaler-native tooling
⚡ Try Linux on VPS! Spin up Linux distros in 30 seconds with Hostinger VPS
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Ubuntu 26.04 LTS vs Fedora 44 — the biggest Linux distro showdown of 2026 is finally here! Two legends. One throne. Both of these iconic distributions dropped within days of each other in April 2026, and both arrived absolutely loaded. We’re talking GNOME 50, Linux kernel 7.0, NTSYNC gaming support, brand new default apps, and completely overhauled package managers — APT 3 on Ubuntu and DNF5 on Fedora. This is genuinely one of the most exciting moments for desktop Linux in years, and picking between the two has never been harder.
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📺 Watch Next
20 Things to Do After Installing Ubuntu 26.04 LTS — turbocharge your install with my favourite tweaks, speed boosts, and must-have apps.
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👍 Smash that Like button if this video helped you decide between Ubuntu and Fedora!
💬 Drop a comment — which one are you running in 2026, Ubuntu or Fedora?
Timestamps:
00:00 Intro
00:46 User Interface
03:14 Performance
05:14 Software Ecosystem
08:37 Stability
10:05 Gaming
12:07 Installation
14:39 My personal Thoughts
In this in-depth head-to-head comparison, I take both distros through a full real-world battle. We’re breaking down UI and workflow with GNOME 50 — Ubuntu’s signature Yaru theme and side dock versus Fedora’s clean stock GNOME experience. We’re diving into performance benchmarks, idle resource usage, ZRAM, file systems (Btrfs vs Ext4), and that all-important app cold-start time difference. We’re tackling the software ecosystem question head-on — the eternal Snap vs Flatpak debate, vendor support, and which distro actually makes installing your favourite apps easier. We’re getting into Linux gaming in 2026, NTSYNC, Proton, Steam, and Nvidia driver setup. We’re covering stability, the 5-year LTS support window versus Fedora’s 13-month cycle, the all-new Anaconda Web UI installer, and the real-world rough edges nobody talks about. And — most importantly — I’m telling you exactly which one I personally chose as my daily driver in 2026, and why.
Whether you’re a complete Linux beginner picking your very first distro, a Windows user finally thinking about making the switch, a long-time Ubuntu user wondering if it’s time to try Fedora, or a seasoned Linux veteran weighing your next move — this video gives you the honest, no-fluff, no-fanboy verdict. No marketing speak. No hype. Just a real comparison from someone who has been daily-driving desktop Linux for years.
Topics covered in this video:
Ubuntu 26.04 LTS review, Fedora 44 review, Ubuntu vs Fedora 2026, best Linux distro 2026, best Linux distro for beginners, Linux distro comparison, GNOME 50 review, GNOME 50 features, Linux gaming 2026, NTSYNC Linux, Proton gaming on Linux, Steam on Linux, Snap vs Flatpak, DNF5, APT 3, Wayland Linux, switch from Windows to Linux, Ubuntu LTS review, Fedora Workstation 44, best Linux for Nvidia, Linux daily driver, desktop Linux 2026, RPM Fusion, Btrfs vs Ext4, Linux kernel 7.0, Anaconda installer, Ubuntu Snap problems, Fedora vs Ubuntu performance.
Build with the next evolution of the Agents SDK. In this Build Hour, you’ll learn how to use the updated Agents SDK to build long-running agents with a model-native harness. Give agents the tools, memory, and execution environment they need to work across files and systems — while staying flexible enough to fit your own stack.
In this session, Steve Coffey (Member of Technical Staff) and Nish Singaraju (Product, Agents) will cover how to:
• Build agents that can inspect files, run commands, edit code, and operate across multi-step tasks
• Use the updated Agents SDK harness for more reliable agent loops across documents, tools, and systems
• Work with core agent primitives like MCP, skills, AGENTS.md, shell, and apply patch
• Run agents safely in controlled sandbox environments with the files, dependencies, and tools they need
👉 Agents SDK Docs: https://developers.openai.com/api/docs/guides/agents
👉 Typescript SDK: http://github.com/openai/openai-agents-js
👉 Python SDK: http://github.com/openai/openai-agents-python
👉 Agents SDK Quickstart: https://openai.github.io/openai-agents-python/quickstart/
👉 Follow along with the code repo: http://github.com/openai/build-hours
👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours
00:00 Introduction
01:48 Agents SDK updates
11:21 Recent releases in the API
14:13 Demo: Building a task tracker with the Agents SDK
37:50 Q&A
Video by CNCF [Cloud Native Computing Foundation] via YouTube
Don’t miss out! Join us at our next KubeCon + CloudNativeCon events in Mumbai, India (18-19 June, 2026), Yokohama, Japan (29-30 July, 2026), and Shanghai, China (8-9 September, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at https://kubecon.io
MCP support in Envoy – Boteng Yao, Google, Software Engineer
This session will delve into the technical impacts of MCP on network proxies, exploring why MCP’s structure (e.g., body-based attributes) and potential statefulness (e.g., Streamable HTTP sessions) require new thinking in traffic management, load balancing, and policy enforcement. Also will brief how to leverage Envoy’s native support and extensibility to build MCP aware networking features such as request inspection, dynamic routing, transcoding, session management, observability, and security. This talk will also give insights for how MCP and network proxies can evolve together to better support AI agent ecosystems.
OpenCV 5 is coming, we swear, and in this episode we’ll get an update from the team on what you can expect in the biggest release of OpenCV ever! With OpenCV 5 your vision stack is faster, more optimized, and easier to use than ever.
OpenCV is a 501(c)(3) registered non-profit in the United States. See how you can support open source CV & AI: http://opencv.org/support/
Watch along for your chance to win during our live trivia segment, and participate in the live Q&A session with questions from you in the audience.
Become a paid member of the channel to help us make more episodes https://www.youtube.com/channel/UCkrcW82Y2kbgU-U9RaYfgxw/join
Got a cool project of your own? Send it to us and you may be featured https://www.jotform.com/form/233105358823151
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