Conversations 2026: AI-Enabled Messaging Innovation for Developers

Conversations 2026: AI-Enabled Messaging Innovation for Developers

Video by Meta Developers via YouTube
Conversations 2026: AI-Enabled Messaging Innovation for Developers

Watch now as Meta leaders and industry innovators share what’s next for AI-enabled business messaging and how developers can build the tools transforming end-to-end customer engagement. Explore the latest platform advances across Messenger, Instagram, and WhatsApp—including how to leverage AI to power more personal, valuable experiences at scale. Get insights from leading brands implementing AI-driven personalization today and delivering measurable business outcomes. Whether you’re building messaging experiences, integrating AI capabilities, or optimizing for performance, this keynote is for you.

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LF Live Maintainer Session: My Life as a Linux Kernel Developer and Maintainer with Jonathan Corbet

LF Live Maintainer Session: My Life as a Linux Kernel Developer and Maintainer with Jonathan Corbet

Video by The Linux Foundation via YouTube
LF Live Maintainer Session: My Life as a Linux Kernel Developer and Maintainer with Jonathan Corbet

Jonathan Corbet and Shuah Khan will talk about Jonathan’s experience as a kernel developer and maintainer, taking questions from the attendees. Jonathan will share what works and what doesn’t for him and strategies, interpersonal and technical skills and mindset that help him stay engaged for a longer term.

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Linux Mint Just Released 2 Secret NEW APPS! (And They’re Brilliant)

Linux Mint Just Released 2 Secret NEW APPS! (And They're Brilliant)

Video by Linux Tex via YouTube
Linux Mint Just Released 2 Secret NEW APPS! (And They're Brilliant)

⚡ Try Linux on VPS! Spin up Linux distros in 30 seconds with Hostinger VPS
https://hostinger.com/linuxtex

Use code : LINUXTEX

Linux Mint 22.3 "Zena" just quietly shipped two brand-new system apps — System Information and System Administration — and they might be the most useful additions to Mint in years. In this video I break down both new Linux Mint tools, show exactly what they do, and explain why they make desktop Linux far more beginner-friendly — with no terminal required.

System Information is a full troubleshooting cockpit with brand-new USB, GPU, PCI, and BIOS pages, plus one-click system reports you can instantly copy or upload to share when asking for help. System Administration finally brings a clean GUI for the GRUB boot menu — show or hide the menu, change the timeout, set a default OS, and add kernel boot parameters like nomodeset, all without hand-editing config files.

If you run Linux Mint, dual-boot Windows and Linux, wrestle with NVIDIA drivers, or just want an easier way to troubleshoot your PC, these two new Linux Mint 22.3 apps are a big deal.

🔥 What you’ll learn
What’s new in Linux Mint 22.3 "Zena" (LTS supported until 2029)
How the new System Information app replaces digging through the terminal
Diagnosing USB, GPU, PCI, Wi-Fi, audio and BIOS / Secure Boot issues with a GUI
How to manage the GRUB boot menu and kernel boot parameters without config files
Why these tools are perfect for beginners, dual-booters and NVIDIA users

💻 My recommended VPS — Hostinger

Spin up any Linux distro in seconds, experiment freely, and self-host apps like Nextcloud, n8n, and Vaultwarden — without the fear of breaking your own machine.

👉 hostinger.com/linuxtex — use code LINUXTEX for a discount.

▶️ Watch next

Ubuntu 26.04 LTS vs Fedora 44 — the biggest distro battle of 2026.

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🔎 Keywords

Linux Mint 22.3, Linux Mint Zena, Linux Mint new apps, System Information Linux Mint, System Administration Linux Mint, mintsysadm, Linux Mint GRUB boot menu, Linux troubleshooting tools, Linux Mint for beginners, Linux without terminal, Linux Mint Cinnamon, best Linux distro 2026, desktop Linux, Linux Mint review.

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The Wheel of Doom Challenge – Part 1 – The Linux Cast

The Wheel of Doom Challenge - Part 1 - The Linux Cast

Video by The Linux Cast via YouTube
The Wheel of Doom Challenge - Part 1 - The Linux Cast

We’re back! Tonight we’re doing something special! We’re going to start a challenge where everything is random and painful!

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#Credits
Logo courtesy of pedropaulo.net
Intro courtesy of https://www.fragcgi.com/?i=1

[show notes]
https://git.thelinuxcast.org/notes/s10/1016.md

Just a reminder that the live stream will go unlisted directly after the stream. The edited version will be posted on Saturday night. Live stream replays can be had by joining us on Patreon: https://patreon.com/thelinuxcast

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Open Source Digest: R, AI, Security & Community News

Open Source Digest: R, AI, Security & Community News

Debugging & Community Events Social Coworking and Office Hours will focus on debugging in R, offering collaborative help for R users. Rencontres R 2026 is scheduled for Nantes, France, bringing the R community together. Africa Wiki Women’s On-Wiki Skills Mentorship Program celebrates growth, impact, and digital inclusion. Open Source & AI Policy The Open Source … Read more

AI Open-Source Boom: Tools, Ethics & Security

AI Open-Source Boom: Tools, Ethics & Security

Key Insights This week in open source, the spotlight is on AI. JetBrains open-sourced Mellum2, positioning it as a coding agent that goes beyond black-box models like Claude Code—emphasizing transparency and developer control. Meanwhile, NVIDIA released a massive collection of open-source agent tools and skills for physical AI, signaling a push to democratize robotics and … Read more

AI, Open Source, and Community: Weekly Digest

AI, Open Source, and Community: Weekly Digest

This week’s digest weaves together stories of AI infrastructure ambition, community resilience, and the perpetual tension between innovation and reproducibility. OpenAI’s Stargate project landing in Abilene, Texas, signals a new era where small towns become AI hubs, raising questions about local impact and the ethics of rapid deployment. Meanwhile, H2O.ai’s focus on audit trails and … Read more

The Texas Town at the forefront of OpenAI’s Stargate Project

The Texas Town at the forefront of OpenAI's Stargate Project

Video by OpenAI via YouTube
The Texas Town at the forefront of OpenAI's Stargate Project

Abilene, Texas wasn’t known as a technology hub.

Now it’s the first home of Stargate, one of the most ambitious AI infrastructure projects ever built.

Local leaders share what Stargate means for their community, from new investment and infrastructure improvements to the opportunities it could create for generations to come.

This is the story of how a West Texas town became an early part of the future of AI.

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Automated ML Audit Trails & AutoDoc in H2O Driverless AI | Part 24

Automated ML Audit Trails & AutoDoc in H2O Driverless AI | Part 24

Video by H2O.ai via YouTube
Automated ML Audit Trails & AutoDoc in H2O Driverless AI | Part 24

How H2O.ai delivers audit-ready AI with centralized logging, automated model documentation, and traceable agent execution.

When regulators ask questions, teams need a complete, reproducible paper trail. H2O.ai builds auditability directly into the DSML lifecycle—centralized audit logs capture every user action, deployment event, and configuration change with precise timestamps and actor context. AutoDoc eliminates manual reporting by generating comprehensive model documentation automatically. For generative AI, every agent execution step is fully traceable, exposing tool calls, data access, and reasoning steps to explain exactly how a recommendation was reached.

Technical Capabilities & Resources

➤ Centralized Audit Logging: Complete history of user actions, administrative changes, and operational events with timestamps and actor context.
🔗 https://docs.h2o.ai/haic-documentation/security-guarantees-model#audit-logging

➤ Automated Model Documentation (AutoDoc): Generate reproducible reports covering model configurations, feature importance, and performance metrics automatically.
🔗 https://docs.h2o.ai/driverless-ai/latest-lts/docs/userguide/autodoc-using.html

➤ Traceable Agent Execution: Step-by-step breakdown of agent tool calls, data access, and reasoning for full decision transparency.
🔗 https://docs.h2oai.com/enterprise-h2ogpte/guide/agents#how-to-review-agent-behavior

➤ ML Interpretability & Retention: Support long-term compliance with interpretability tooling and configurable data retention policies.
🔗 https://docs.h2o.ai/driverless-ai/latest-lts/docs/userguide/mli.html

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