Videos

Video by The Linux Experiment via YouTube

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Timestamps

00:00 Intro
00:31 Sponsor: SquareSpace
01:47 FSF weighs in on the OnlyOffice vs EuroOffice debate
03:57 More (good) age verification news
06:37 Proton’s CEO talks age verification
08:52 People lose their minds over Mozilla’s new mascot
10:10 Debian elects new project lead
11:37 Ubuntu 26.04 released
14:39 Ubuntu’s audit of the Rust Core Utilities
16:07 New Linux powered console
17:43 Firefox talks more about their Smart Window feature
19:38 Mozilla found 271 flaws using Anthropic Mythos
21:49 Valve gives devs more info on how their game runs on Deck
23:57 Sponsor: Tuxedo Computers

Links:
FSF weighs in on the OnlyOffice vs EuroOffice debate
https://www.fsf.org/blogs/licensing/agpl-is-not-a-tool-for-taking-freedom-away

More age verification news

Colorado Age Attestation Bill May Exclude Open Source OSes and Apps

https://almalinux.org/blog/2026-04-21-california-age-verification-law/

Proton’s CEO talks age verification
https://proton.me/blog/keep-age-verification-from-killing-anonymity-online

People lose their minds over Mozilla’s new mascot
https://itsfoss.com/news/mozillas-firefox-mascot-gender-controversy/

Debian elects new project lead

Debian Names a New Leader for the Project

Ubuntu 26.04 released
https://itsfoss.com/news/kubuntu-26-04-lts/

Ubuntu’s audit of the Rust Core Utilities
https://discourse.ubuntu.com/t/an-update-on-rust-coreutils/80773

New Linux powered console
https://playnix.io/

Firefox talks more about their Smart Window feature
https://www.firefox.com/en-US/smart-window/?view=waitlist
https://support.mozilla.org/en-US/kb/smart-window-models

Mozilla found 271 flaws using Anthropic Mythos

The zero-days are numbered 

Valve gives devs more info on how their game runs on Deck
https://www.gamingonlinux.com/2026/04/valve-make-steps-to-improve-steam-deck-verification-giving-developers-more-performance-data/

#linuxdesktop #linuxnews #linuxdistro

Source

Video by The Linux Cast via YouTube

We’re back! This time we have Nick from @TheLinuxEXP to speak with us about age verification laws.

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https://www.youtube.com/@TheLinuxEXP on YouTube

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Sponsored by Proton – https://go.getproton.me/SH1gC

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

[show notes]
https://git.thelinuxcast.org/notes/s10/1012.md

[time stamps]
00:00:00 Intro
00:00:54 Interview with Nick
00:20:10 Linux and Age Verification
01:10:44 Nuggies of the Week
01:11:05 Drew’s Nuggie
01:11:39 Nate’s Nuggie
01:12:17 Nick’s Nuggie
01:12:51 Matt’s Nuggie
01:14:29 Contact Info and Goodbyes

Source

Video by OpenAI via YouTube

“I thought building this internal tool was going to take me days…but with Codex and GPT-5.5, I was able to do it in under an hour.”

Denis from Perplexity saw GPT-5.5 cut token usage by 56% while running the same agentic workflows faster and more efficiently.

Build with GPT-5.5: https://openai.com/index/introducing-gpt-5-5/

Source

Video by NetApp Instaclustr via YouTube

Get ready for the next major evolution in database performance! In this video we break down the top Cassandra 6 features driving massive database improvements and boosting operational efficiency for teams everywhere.

Apache Cassandra 6 is a significant release that reshapes the core behavior of the database. From broader transaction support to smarter metadata coordination, Cassandra is becoming more structured internally and much easier to manage. Whether you are a developer looking for stronger correctness guarantees or an operator seeking smoother cluster maintenance, we are here to guide you through the updates that matter most.

Make sure to subscribe to our channel and like this video for more insights on database management!

#ApacheCassandra #DatabaseManagement #CassandraCEP #TechUpdates #OpenSource #dataengineering

0:26 – Accord Transactions
1:20 – Transactional Cluster Metadata
2:05 – Automated Repair
2:54 – The Constraints Framework
3:39 – ZSTD Dictionary Compression
4:23 – Cursor-Based Compaction

Source

Video by The Late Night Linux Family via YouTube

Support us on Patreon and get an ad-free RSS feed with some early episodes. https://www.patreon.com/LateNightLinux

Chris ended up with a managed M4 Macbook Air at work with no sudo or root. So how does a Linux user get on with his first ever Mac? Turns out pretty well, thanks to lots of open source software and a terminal.

linuxafterdark.net/linux-after-dark-episode-120/

Source

Video by SAP via YouTube

When your business outgrows its processes, the instinct is to patch the gaps. But temporary fixes become business as usual – and suddenly you’re reacting to growth instead of ready for it.

SAP GROW is a complete AI-embedded cloud ERP that connects finance, operations, supply chain, and HR in one place. Industry-specific processes built in from day one. Go live in weeks, not years. Start with what matters, expand when you’re ready. No disruption, no starting over.

00:00 The challenge of scaling
00:34 What is SAP GROW?
00:50 AI built in from day one
01:04 Faster decisions, smarter teams
01:14 Go live in weeks, not years

Bring it with SAP GROW. https://sap.to/6052BB10NG

Follow us on social:
LinkedIn: https://sap.to/6053BB10NH
Instagram: https://sap.to/6054BB10Ny
Facebook: https://sap.to/6055BB10NJ
Threads: https://sap.to/6056BB10NK

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6057BB10Nz

#SAPGROW #CloudERP #AI

Source

Video by TWiT Tech Podcast Network via YouTube

NASA’s budget slash could mean pulling the plug on over $13 billion in active missions, including Chandra, New Horizons, and Venus spacecraft. Discover in This Week in Space with hosts Rod Pyle, Tariq Malik, and guest Jennifer Vaughn, CEO of The Planetary Society, on what’s on the chopping block possibly for NASA if the proposed budget for the organization goes through for next year.

You can find more about TWiT and subscribe to our full shows at https://podcasts.twit.tv
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Source

Video by Rasa via YouTube

We set up an agent harness — Claude Code, a Rasa MCP server, and some markdown files — and use it to build a flight upgrade assistant from scratch, live on camera.
The airline bot on WhatsApp is actually pretty slick. You’re already logged in, your bookings are there. But the conversation feels like filling in a form. Say anything off-script and it’s lost.
So we build something better: an upgrade agent that can check availability, show seats, quote prices, and handle hesitation naturally. "That’s a lot" doesn’t break it — it re-asks.
The whole thing is built in one sitting using Claude Code with Rasa’s MCP tools. No slides, no prep.

*Try it yourself:* https://gist.github.com/amn41/537a607ccbc3ca557e7f23a97233f0be

*What’s in the harness:*
– Claude Code (the base)
– Rasa MCP tools (train, test, inspect — without leaving the editor)
– CLAUDE.md (workflow instructions that make Claude Code self-validating)

*Links:*
– *Rasa Docs:* https://rasa.com/docs
– *Code from this video:* https://gist.github.com/amn41/537a607ccbc3ca557e7f23a97233f0be

Source

Video by OpenAI via YouTube

"GPT-5.5’s superpower is that it can just get things done.”

It’s so cool to see how masters of the AI universe like NVIDIA’s Dennis Hannusch are leveraging GPT-5.5-Codex for complex engineering tasks.

Be like Dennis.

Build with GPT-5.5: https://openai.com/index/introducing-gpt-5-5/

Source

Video by H2O.ai via YouTube

How to fine-tune domain-specific LLMs for tasks like text-to-SQL and multimodal QA using H2O Enterprise LLM Studio.

When prompt engineering alone is insufficient, fine-tuning a domain-specific model can reduce costs while improving accuracy. H2O Enterprise LLM Studio walks through the full instruction tuning process—leveraging LoRA adapters, built-in AutoML for hyperparameter optimization, and real-time training metrics like loss curves and validation perplexity. Models are evaluated for safety and quality, then exported directly to Hugging Face for distribution across the organization.

Technical Capabilities & Resources

➤ Multimodal Generative AI Tuning: Train models for domain-specific tasks including multi-modal causal language modeling and image/text classification.
🔗 https://docs.h2o.ai/h2o-enterprise-llm-studio/get-started/what-is-h2o-enterprise-llm-studio#use-cases

➤ Instruction Tuning & DPO Alignment: Fine-tune base models using labeled data, automated hyperparameter search, and preference optimization.
🔗 https://docs.h2o.ai/h2o-llmstudio/guide/experiments/supported-problem-types#dpo-modeling

➤ Augmentation for Fine-Tuning Datasets: Use LLM DataStudio to augment and prepare training data for downstream instruction tuning.
🔗 https://docs.h2o.ai/h2o-llm-data-studio/guide/augment/augmentation-datasets

Source