Overview This week’s open-source news centers on AI’s massive growth, with record funding, new hardware, and infrastructure challenges. China’s Moonshot AI leads with a $2B raise, while the Linux Foundation tackles download overload with a registry initiative. Meanwhile, the NHS faces backlash over closed-source policies, highlighting tensions in open-source adoption. Key Insights Open-source AI is … Read more
This week’s open source digest spans hardware freedom in the AI age, low-cost hydro turbines, AI-powered spreadsheets, MLOps optimization, GitOps at scale, and more. The common thread: open source communities are actively shaping how AI and automation integrate into our tools while preserving transparency and user control. Mitch Altman’s FOSSASIA talk reminds us that AI … Read more
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
Insights from the Open Source Ecosystem This week’s digest spotlights a dynamic range of open source innovations: from a low-cost hydropower turbine that challenges solar economics, to AI integration in spreadsheets and MLOps. The common thread is a push toward accessible, scalable, and sustainable technology. The low-head turbine exemplifies how open hardware can democratize energy, … Read more
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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