Open Source Digest: R Advances, Wikimedia Nigeria, and More

Open Source Digest: R Advances, Wikimedia Nigeria, and More

Community Events & Hackathons Rencontres R 2026: The annual R conference will be held in Nantes, France, bringing together R enthusiasts for talks, workshops, and networking. Arewa TechCom Hackathon: In Northern Nigeria, a hackathon focused on building Wikimedia tools aims to enhance local language content and community engagement. TravelingWiki SportsFanWiki Launch: TravelingWiki announces a launch … Read more

Open-Source AI Explodes: Funding, Infrastructure & Backlash

Open-Source AI Explodes: Funding, Infrastructure & Backlash

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

Open Source Hardware, AI, and GitOps: Weekly Digest

Open Source Hardware, AI, and GitOps: Weekly Digest

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

Hardware Freedom in an AI Dominated World, Mitch Altman, #FOSSASIA Summit 2026 #Hardware

Hardware Freedom in an AI Dominated World, Mitch Altman, #FOSSASIA Summit 2026 #Hardware

Video by FOSSASIA via YouTube
Hardware Freedom in an AI Dominated World, Mitch Altman, #FOSSASIA Summit 2026 #Hardware

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

Session slides: https://eventyay.com/e/88882f3e/session/10463

#fossasia #FOSSASIASummit #opensource #FOSS #Hardware

Source

Open Source & Tech Digest: Nantes R Meetup, Microcks CNCF, & More

Open Source & Tech Digest: Nantes R Meetup, Microcks CNCF, & More

Community & Events Rencontres R 2026 will be held in Nantes, France, bringing together R language enthusiasts for talks and workshops. Security & Privacy CopyFail vulnerability (CVE-2026-31431) disclosed: a Linux local privilege escalation flaw. Users urged to patch promptly. OpenClaw safety concerns raised regarding use with real email and business data; caution advised. Best VPN … Read more

Open-Source Security Risks & Infrastructure Challenges

Open-Source Security Risks & Infrastructure Challenges

Narrative Analysis The latest open-source news highlights a tension between innovation and security. A significant concern is the discovery by OpenClaw that a single command can turn any open-source repo into an AI agent backdoor, with no existing supply-chain scanner capable of detecting it. This exposes a critical gap in security tools, urging the community … Read more

Open Source Digest: Hydro, AI, Kubernetes & More

Open Source Digest: Hydro, AI, Kubernetes & More

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

Low Head Water Turbine -Free Build Tutorial

Low Head Water Turbine -Free Build Tutorial

Video by OpenSourceLowTech via YouTube
Low Head Water Turbine -Free Build Tutorial

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

#turbine #DIY #hydro #renewable #energy #opensource

Source

Introducing ChatGPT for Excel and Google Sheets

Introducing ChatGPT for Excel and Google Sheets

Video by OpenAI via YouTube
Introducing ChatGPT for Excel and Google Sheets

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/

Source

Optimizing ML Compute & Orchestration with H2O MLOps | Part 17

Optimizing ML Compute & Orchestration with H2O MLOps | Part 17

Video by H2O.ai via YouTube
Optimizing ML Compute & Orchestration with H2O MLOps | Part 17

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.
🔗 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.
🔗 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.
🔗 https://docs.h2o.ai/ai-engine-manager/user-guide/h2o-engine/manage-h2o-engine/

Source