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@juliocalves started using tool Amazon ECS , 2 weeks, 4 days ago.
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@juliocalves started using tool Amazon CloudWatch , 2 weeks, 4 days ago.
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@kala shared an update, 2 weeks, 4 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 , 2 weeks, 4 days ago.
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@varbear shared a link, 2 weeks, 4 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, 2 weeks, 4 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, 2 weeks, 4 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, 2 weeks, 4 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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@varbear shared a link, 2 weeks, 4 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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@kaptain shared a link, 2 weeks, 4 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
Lustre is an open-source, parallel distributed file system built for high-performance computing environments that require extremely fast, large-scale data access. Designed to serve thousands of compute nodes concurrently, Lustre enables HPC clusters to read and write data at multi-terabyte-per-second speeds while maintaining low latency and fault tolerance.

A Lustre deployment separates metadata and file data into distinct services—Metadata Servers (MDS) handling namespace operations and Object Storage Servers (OSS) serving file contents stored across multiple Object Storage Targets (OSTs). This architecture allows clients to access data in parallel, achieving performance far beyond traditional network file systems.

Widely adopted in scientific computing, supercomputing centers, weather modeling, genomics, and large-scale AI training, Lustre remains a foundational component of modern HPC stacks. It integrates with resource managers like Slurm, supports POSIX semantics, and is designed to scale from small clusters to some of the world’s fastest supercomputers.

With strong community and enterprise support, Lustre provides a mature, battle-tested solution for workloads that demand extreme I/O performance, massive concurrency, and petabyte-scale distributed storage.