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An anonymous reader shares a report: Over half of the British public are worried about the impact of AI on their jobs, according to employment unions, which want the UK government to adopt a "worker first" strategy rather than simply allowing corporations to ditch employees for algorithms. The Trades Union Congress (TUC), a federation of trade unions in England and Wales, says it found that people are concerned about the way AI is being adopted by businesses and want a say in how the technology is used at their workplace and the wider economy. It warns that without such a "worker-first plan," use of "intelligent" algorithms could lead to even greater social inequality in the country, plus the kind of civil unrest that goes along with that. The TUC says it wants conditions attached to the tens of billions in public money being spent on AI research and development to ensure that workers are supported and retrained rather than deskilled or replaced. It also wants guardrails in place so that workers are protected from "AI harms" at work, rules to ensure workers are involved in deciding how machine learning is used, and for the government to provide support for those who euphemistically "experience job transitions" as a result of AI disruption.

Read more of this story at Slashdot.

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by George Whittaker Introduction: Why Lightweight Matters for Kubernetes Devs

When running Kubernetes clusters for development, the operating system’s footprint can make or break performance and agility. Heavy, general-purpose Linux distributions waste memory and CPU cycles on components you’ll never use, while lightweight, container-focused distros keep your nodes lean and optimized. For developers experimenting with k3s, MicroK8s, or full-blown Kubernetes clusters, lightweight Linux offers faster spin-ups, lower overhead, and environments that better simulate production-grade setups.

In this guide, we’ll take a look at the best lightweight Linux options for Kubernetes developers, compare their strengths, and walk through code examples for quick setup. Whether you’re spinning up a local test cluster or building a scalable dev lab, this breakdown will help you pick the right base OS and make the most of your Kubernetes workflow.

Key Considerations for Dev-Focused Kubernetes Nodes

Before diving into individual distros, it’s important to understand what really matters when pairing Linux with Kubernetes:

• Minimal Resource Usage: A slim OS footprint leaves more CPU and RAM for pods and workloads.

• Container Runtime Compatibility: Built-in or easy-to-install support for containerd, CRI-O, or Docker ensures smooth cluster bootstrapping.

• Init System Support: Compatibility with systemd or OpenRC impacts how Kubernetes services are managed.

• Immutable vs. Mutable: Immutable systems like Fedora CoreOS or Talos enhance reliability but restrict tinkering, while Alpine and Ubuntu Core offer more flexibility for on-the-fly customization.

• Developer Friendliness: A distro should integrate seamlessly with kubectl, Helm, CI/CD agents, and debugging workflows.

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Woolpits Farm, nestled on Little Waltham Road in Springfield, Chelmsford, sits within 1.1 acres of beautifully maintained grounds with captivating views.

This will confirm details such as storey heights, design, and materials which are not available as part of this outline application.

It's been praised by families as a great day out

Woolpits Farm, nestled on Little Waltham Road in Springfield, Chelmsford, sits within 1.1 acres of beautifully maintained grounds with captivating views.

This will confirm details such as storey heights, design, and materials which are not available as part of this outline application.

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