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Timestamps:
00:00 Intro
00:23 Sponsor: Proton Mail
01:25 LibreOffice questions the sovereignty of Euro office
04:07 Plasma 6.7 will come with its new style engine
06:17 Plasma 6.7 fixes big performance issues
08:18 Google Chrome installs a model on device without consent
11:11 Linux kernel guidelines for adding new filesystems
14:04 Pilot project for open, Linux based workspaces in the Netherlands
15:30 Someone remade Unity Desktop with Wayfire and libadwaita
17:50 Dell and Lenovo now sponsor LVFS
19:07 Ubuntu’s Twitter account compromised
20:28 Valve publishes Steam Controller CAD files
21:27 Valve opens reservation queue for Steam Controllers
23:32 Sponsor: Tuxedo Computers
Links:
LibreOffice questions the sovereignty of Euro office
Plasma 6.7 fixes big performance issues
https://zamundaaa.github.io/wayland/2026/05/06/making-wl-shm-fast.html
Google Chrome installs a model on device without consent
https://www.thatprivacyguy.com/blog/chrome-silent-nano-install/
Linux kernel guidelines for adding new filesystems
https://git.kernel.org/pub/scm/linux/kernel/git/vfs/vfs.git/commit/?h=vfs-7.2.misc&id=b34d597faae60a4c89235205478497b975e86bc5
Pilot project for open, Linux based workspaces in the Netherlands
https://vng.nl/artikelen/digitale-werkplek-geen-memo-maar-demo-werkplekken-in-open-source
Someone remade Unity Desktop with Wayfire and libadwaita
AI is transforming hardware and software development, but it does not replace the need for people who understand technology and the real world—it increases that need. Just as calculators made math faster but still required human judgment, AI can generate answers that sound convincing while still being wrong.
In this talk, we explore how AI can be used responsibly in open hardware, open source, and maker communities. Can AI help accelerate hardware design, troubleshooting, documentation, and innovation? Can hackerspaces and open communities use AI to empower more people instead of centralizing control in large corporations?
We’ll discuss the risks, opportunities, and future of AI-assisted engineering, open hardware design, and human expertise. As AI evolves rapidly, asking the right questions now is essential to building a better future.
FOSSASIA Summit 2026 held in Bangkok, is Asia’s leading Open Source tech conference featuring sessions on #AI, #Cloud, #DevOps, #Open Hardware, #Security, #Web #Mobile Technologies, #Web3, and #Databases. Learn more: http://summit.fossasia.org
Tutorial: https://opensourcelowtech.org/water_turbine.html
This free and open source turbine can be built for half the cost of a 120 watt solar panel, and will produce about ten times the power (5kWh with 3m drop and 35 l/s flow) per day. It can be plugged into any appropriate waterway without the need for earthworks, and uses only basic off the shelf and recycled materials, and simple hand tools.
https://www.patreon.com/OpenSourceLowTech
♫ Where The Waves Take Us by Purrple Cat – https://soundcloud.com/purrplecat
Ask ChatGPT to analyze, update, and explain your spreadsheets directly in Excel and Google Sheets.
These add-ins are now available globally across all plans. Powered by GPT-5.5, ChatGPT helps you update models, analyze data, audit outputs, and turn messy business context into decisions faster.
Now available globally for all plans.
Get started: https://chatgpt.com/apps/spreadsheets/
How H2O.ai orchestrates enterprise AI workloads on Kubernetes with managed resource profiles and cost guardrails.
As AI programs scale, managing compute resources across teams and use cases becomes operationally critical. H2O.ai runs all workloads—Driverless AI experiments, Feature Store operations, MLOps deployments, and h2oGPTe agent executions—as managed Kubernetes workloads. Administrators define specialized resource profiles allocating the right CPU, GPU, and memory per task. Cost guardrails enforce idle timeouts, maximum run durations, and dynamic cluster autoscaling, keeping infrastructure spend under control without requiring Kubernetes expertise from data scientists.
Technical Capabilities & Resources
➤ Workload Orchestration & Resource Profiles: Schedule ML workloads using admin-managed profiles that allocate CPU, GPU, and memory automatically.
đź”— https://docs.h2o.ai/ai-engine-manager/user-guide/dai-engine/create-dai-engine/#step-4-configure-resources
➤ Cost Optimization & Infrastructure Guardrails: Control compute costs with resource constraints, idle timeouts, and dynamic cluster autoscaling.
đź”— https://docs.h2o.ai/mlops/model-deployments/create-a-deployment#advanced-settings
➤ H2O Engine Management: View and manage engine configuration and last-used resource profile information.
đź”— https://docs.h2o.ai/ai-engine-manager/user-guide/h2o-engine/manage-h2o-engine/
We continue making immense improvements for overall AI observability, AIOps, AI Governance, and developer experience, building and extending on previous MLflow releases of 3.9, 3.10 and 3.11. Want to know what’s coming in MLflow 3.12? You don’t want to miss this as we deep dive into all of the awesome features, including:
🔹 ​Coding agent tracing + OpenClaw
🔹 ​Multimodal Attachment Support in Traces
🔹 Guardrails in AI Gateway
🔹 Testing & Refining Claude Skills​
Running ArgoCD at scale across multiple clusters and hundreds of applications introduces challenges beyond simple demos. This talk shares real-world strategies for scaling ArgoCD using ApplicationSet, GitHub PR workflows, and cluster generators.
Learn how to design multi-tenant GitOps architectures, structure repositories, manage secrets securely, and prevent sync storms that impact performance. We’ll also cover tuning ArgoCD for speed, reliability, and safe deployments at scale.
Perfect for DevOps engineers and platform teams looking to run GitOps with ArgoCD efficiently in large, production environments.
FOSSASIA Summit 2026 held in Bangkok, is Asia’s leading Open Source tech conference featuring sessions on #AI, #Cloud, #DevOps, #Open Hardware, #Security, #Web #Mobile Technologies, #Web3, and #Databases. Learn more: http://summit.fossasia.org
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