HM Godoy

Video by The Linux Foundation via YouTube

Sponsored by Harness

AI coding tools are helping engineering teams create and ship software at unprecedented speed. But our research from 700 enterprise practitioners and engineering leaders reveals a troubling counterweight: 71% say releases or production issues require developers to work evenings or weekends at least weekly, while more than half report frequent or constant burnout.

The surprising finding is that developers do not blame AI. The teams experiencing the most burnout are also among its most enthusiastic users. The real problem is the widening mismatch between AI-scale code generation and delivery systems still dependent on manual testing, fragmented tools, human-operated releases, and reactive incident response.

In this session, attendees will learn:
Why after-hours work should be treated as a software-delivery metric
How high deployment velocity can conceal weak stability and growing rework
Why AI adoption amplifies the strengths and weaknesses of the underlying delivery system
Which capabilities help reduce repetitive toil, deployment risk, and incident burden
How golden paths, automated testing and governance, progressive delivery, verification, rollback, and resilience testing can make AI-scale delivery sustainable

The session will close with a practical demonstration of how the Harness Software Delivery Agent helps delivery systems validate, govern, deploy, and recover without requiring people to absorb every failure manually.

Demo: https://www.harness.io/demo/software-delivery-agent

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Video by The Linux Experiment via YouTube

Check out TuxCare’s Endless LifeCycle Support for PostgreSQL 14 and more: https://tuxcare.com/endless-lifecycle-support/postgresql-eol-support/?utm_source=youtube&utm_medium=paid_social&utm_campaign=ELS%20PostgreSQL&utm_term=The%20linux%20experiment

Grab a brand new laptop or desktop running Linux: https://www.tuxedocomputers.com/en#

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– a Daily Linux News show
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Timestamps:
00:00 Intro
00:36 Sponsor: TuxCare
01:46 KDE’s AI policy
06:42 Existing AI policies
10:06 Going further on AI
12:58 My stance on AI
17:05 FOSS projects: yes or no to AI?
28:02 Sponsor: Tuxedo Computers

#linux #linuxdesktop #ai

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Video by Linux Tex via YouTube

Get Theme Studio – Massive Introductory Discount
https://payhip.com/LinuxTex

Fedora 45 Beta is here, bringing GNOME 51, Linux Kernel 7.2, major security improvements, a completely modernized Linux console, Fedora Atomic improvements, and some surprisingly big changes under the hood.

But Fedora 45 is also a strange release. One of its most anticipated features — automatic Btrfs full-system snapshots and rollback — didn’t make it. KDE users also aren’t getting Plasma 6.8 in the Beta, while several of Fedora’s biggest improvements are things most users will never actually see.

In this video, we take a close look at what’s new in Fedora 45 Beta and what these changes actually mean for desktop Linux users.

We cover:

• GNOME 51 and its performance improvements
• GNOME’s new Wayland background blur infrastructure
• New GNOME Files, Sushi, Maps and Calendar improvements
• Why automatic Btrfs snapshots and rollback didn’t make Fedora 45
• Fedora’s stricter RPM package signature verification
• kmscon replacing the traditional Linux virtual console experience
• Fedora 45 KDE and the Plasma 6.8 situation
• Linux Kernel 7.2 and Mesa 26.2
• Fedora Silverblue, Kinoite and Atomic Desktop improvements
• The new Anaconda WebUI and remote installation features
• oo7 replacing GNOME Keyring as Fedora’s new secrets backend
• New security hardening and ptrace restrictions
• Python 3.15, GCC 16.2, glibc 2.44, systemd 262 and NetworkManager 1.58
• Fedora Asahi Remix support for Apple M3, M3 Pro and M3 Max
• Whether Fedora 45 Beta is worth installing right now

Fedora 45 may not completely transform the desktop visually, but underneath GNOME and KDE, Fedora is modernizing some surprisingly old parts of the Linux stack while continuing its push toward stronger security, newer technology and a more polished desktop experience.

Fedora 45 stable is expected on October 20, 2026.

🔗 Fedora Linux: https://fedoraproject.org/

If you enjoyed the video, subscribe to Linux Tex for more Linux news, distro reviews, GNOME and KDE coverage, tutorials, apps and everything happening in the Linux desktop world.

#Fedora45 #FedoraLinux #Linux #GNOME51 #LinuxDesktop #Fedora #GNOME #KDEPlasma #OpenSource #LinuxNews

Timestamps:
0:00 Introduction
0:43 #01 GNOME 51 is the Highlight
2:59 #02 The Feature Everyone Was Waiting For
4:12 #03 Stricter Package Signing
5:08 Theme Studio
6:17 #04 So Where is Plasma 6.8?
7:09 #05 Kernel 7.2, Mesa, and Hardware
7:54 #06 Atomic Fedora Is Quietly Becoming Normal Fedora
8:44 #07 A New Home for your Passwords
9:25 #08 Fedora Replaced the Kernel Console
10:44 #09 Lightning Round

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Video by OpenProject | Open Source Project Management via YouTube

What often stands out to new joiners at OpenProject?

Our People & Organization Manager, Dorothee Steiner, shares what new colleagues often notice when they first join the team.

Curious about our culture or wondering if OpenProject could be a good fit for you? Have a look at this video. 👀

Explore career opportunities at OpenProject:
👉 https://www.openproject.org/careers/

And feel free to reach out.

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Video by OpenAI via YouTube

Create your own with ChatGPT Images.

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Video by H2O.ai via YouTube

For most of AI’s history the focus was analyzing and predicting. Generative AI creates. Here is what changed, and how to choose between proprietary and open source models.

Terms covered:
– Generative AI: AI that produces text, code, images, summaries and answers on demand
– GPT (Generative Pre-trained Transformer): the architecture behind most large language models
– Proprietary LLMs: powerful, easy to start with, priced per token, and your data goes to a third-party server
– Open Source LLMs: weights you can download, deploy on your own infrastructure and fine-tune, with no per-token cost and no data leaving your environment

Most serious deployments need both. Proprietary for speed and access, open source for control, privacy and cost at production scale.

—
AI Fundamentals Glossary | H2O.ai University
Full playlist: https://www.youtube.com/playlist?list=PLAWKlIKS-66E
Free courses and certifications: https://h2o.ai/university

#GenerativeAI #LLM #OpenSourceAI #AIGlossary #H2Oai

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Video by OpenCV via YouTube

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