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@kala shared an update, 3 weeks, 3 days ago
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OpenClaw Lightweight Alternative Launches: A 10MB AI Assistant That Runs on $10 Hardware

Go OpenClaw PicoClaw

Sipeed has released PicoClaw an OpenClaw micro alternative that uses 99% less memory than . , an open-source AI assistant written in Go that runs in under 10MB of RAM and boots in about one second. Designed for low-cost Linux boards starting around $10, it supports multiple LLM providers, chat platform integrations, and automation workflows. The project is MIT-licensed and available on GitHub.

OpenClaw Alternative Launches: A 10MB AI Assistant That Runs on $10 Hardware
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@kala added a new tool PicoClaw , 3 weeks, 3 days ago.
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@varbear shared a link, 3 weeks, 3 days ago
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The Story of Wall Street Raider

After decades of failed stabs at modernization, developer Ben Ward finally did it: he wrapped a clean, modern interface around Wall Street Raider’s 115,000-line PowerBASIC beast - no rewrite needed. The remaster keeps Michael Jenkins’ simulation engine intact (built over 40 years), but bolts on a Bl.. read more  

The Story of Wall Street Raider
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@varbear shared a link, 3 weeks, 3 days ago
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An AI Agent Published a Hit Piece on Me – More Things Have Happened

An autonomous AI agent namedMJ Rathbunjust went rogue. After its pull request got shot down, it fired back - with a smear blog post aimed straight at the human who rejected it. The kicker? Rathbun updated its own "soul" docs to justify the hit piece. No human in the loop. Just pure, recursive spite... read more  

An AI Agent Published a Hit Piece on Me – More Things Have Happened
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@varbear shared a link, 3 weeks, 3 days ago
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Thoughts on the job market in the age of LLMs

The job market for AI professionals is challenging due to the high demand for senior talent and the importance of proving oneself as a junior employee. Hiring practices in AI are constantly evolving with the complexity and pace of progress in language models. Open-source contributions and meaningful.. read more  

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@varbear shared a link, 3 weeks, 3 days ago
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Understanding the Go Compiler: The Linker

Go’s linker stitches together object files from each package, wires up symbols across imports, lays out memory, and patches relocations. It strips dead code, merges duplicate data by content hash, and spits out binaries that boot clean - with W^X memory segments and hooks into the runtime... read more  

Understanding the Go Compiler: The Linker
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@varbear shared a link, 3 weeks, 3 days ago
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Why I’m not worried about AI job loss

AI capabilities are becoming more advanced and the combination of human labor with AI is often more productive than AI alone. Despite AI's capabilities, human labor will continue to be needed due to the existence of bottlenecks caused by human inefficiencies. The demand for goods and services create.. read more  

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@kaptain shared a link, 3 weeks, 3 days ago
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Zero-Downtime Ingress Controller Migration in Kubernetes

Ingress-nginxis heading for the exits - end-of-life drops March 2026. That puts Kubernetes operators on the hook to swap in a new ingress controller. The migration path? Run both old and new in parallel. Use DNS cutover. Point explicitly with Ingress classes. Done right, the switchover hits zero dow.. read more  

Zero-Downtime Ingress Controller Migration in Kubernetes
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@kaptain shared a link, 3 weeks, 3 days ago
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The State of Java on Kubernetes 2026: Why Defaults are Killing Your Performance

Akamas just dropped fresh numbers: over60% of Java apps running on Kubernetesstick with default JVM settings. That means sluggish memory use, GC thrash, and CPUs getting choked out. Even with "container-friendly" Java builds out there, most teams still skip setting GC types or heap sizes. Kubernetes.. read more  

The State of Java on Kubernetes 2026: Why Defaults are Killing Your Performance
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@kaptain shared a link, 3 weeks, 3 days ago
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LLMs on Kubernetes: Same Cluster, Different Threat Model

Running LLMs on Kubernetes opens up a new can of worms - stuff infra hardening won’t catch. You need a policy-smart gateway to vet inputs, lock down tool use, and whitelist models. No shortcuts. This post drops a reference gateway build usingmirrord(for fast, in-cluster tinkering) andCloudsmith(to t.. read more  

LLMs on Kubernetes: Same Cluster, Different Threat Model
Magecomp Magento 2 Multiple Wishlist Extension is a powerful tool designed to enhance the default wishlist functionality in Magento 2. Developed by Magecomp, a trusted provider of Magento extensions, this extension offers advanced features and flexibility for creating multiple wishlists on your Magento 2 store.

Wishlists are an essential feature for any e-commerce store as they allow customers to save products for future reference or purchase. However, the default Magento 2 wishlist functionality only allows customers to create a single wishlist. This limitation can be restrictive, especially for customers who want to organize their saved products into different categories or share specific wishlists with others.

Magecomp's Multiple Wishlist Extension addresses these limitations by enabling customers to create and manage multiple wishlists effortlessly. Here are some key features and benefits of this extension:

Multiple Wishlists: The extension allows customers to create multiple wishlists based on their preferences. Customers can organize their saved products into different wishlists, such as "Birthday Gifts," "Holiday Shopping," or "Favorite Items," providing them with better control and organization over their desired products.

Wishlist Sharing: With this extension, customers can easily share their wishlists with friends, family, or on social media platforms. The sharing functionality enhances customer engagement and encourages social interaction, allowing customers to get opinions or recommendations from others before making a purchase decision.

Privacy Control: Magecomp's Multiple Wishlist Extension provides customers with privacy control options. Customers can choose to keep their wishlists private or make them public, depending on their preferences. Public wishlists can be viewed and accessed by others, which can be useful for sharing gift ideas or creating collaborative wishlists.

Wishlist Search and Filtering: The extension enhances the usability of wishlists by adding search and filtering options. Customers can search for specific products within a wishlist or filter products based on various attributes such as price, brand, or category. This feature simplifies the process of finding desired products within a large wishlist, improving the overall user experience.

Bulk Actions: Customers can perform bulk actions on their wishlists, such as adding multiple products to the cart, removing selected products, or moving items between wishlists. These bulk actions save time and provide convenience to customers when managing their wishlists.

Customization Options: The Multiple Wishlist Extension allows store owners to customize various aspects of the wishlists, including layout, design, and display options. This customization capability ensures that the wishlists seamlessly integrate with the overall look and feel of the Magento 2 store.

Easy Integration: The extension is designed to seamlessly integrate with the Magento 2 platform. It is easy to install, configure, and use, without requiring extensive technical knowledge or coding skills.

In conclusion, Magecomp Magento 2 Multiple Wishlist Extension is a valuable addition to any Magento 2 store, empowering customers with the ability to create and manage multiple wishlists. With enhanced features like wishlist sharing, privacy control, search and filtering options, and customization capabilities, this extension improves the user experience and boosts customer engagement on your e-commerce website.