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@kaptain shared a link, 4 days, 8 hours ago
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Deploying Disaggregated LLM Inference Workloads on Kubernetes

In large language model (LLM) inference workloads, a single monolithic serving process can hit its limits due to different compute profiles for prefill and decode stages. Disaggregated serving splits the pipeline into distinct stages to better utilize GPU resources and scale more flexibly on Kuberne.. read more  

Deploying Disaggregated LLM Inference Workloads on Kubernetes
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@kala shared a link, 4 days, 8 hours ago
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What 81,000 people want from AI

Anthropic used a version of Claude to interview 80,508 users across 159 countries and 70 languages - claiming the largest qualitative AI study ever conducted. The top ask wasn't productivity, it was time back for things that matter outside of work. The top fear was hallucinations and unreliability. .. read more  

What 81,000 people want from AI
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@kala shared a link, 4 days, 8 hours ago
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Building a digital doorman

Larson runs a dual-agent system. A tiny public doorman,nullclaw, lives on a $7 VPS. A private host,ironclaw, runs over Tailscale. Nullclaw sandboxes repo cloning. It routes heavy work to ironclaw viaA2AJSON‑RPC. It enforcesUFW, Cloudflare proxying, and single‑gateway billing... read more  

Building a digital doorman
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@kala shared a link, 4 days, 8 hours ago
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Multi-Agent AI Systems: Architecture Patterns for Enterprise Deployment

Last quarter, a mid-sized insurance company struggled to deploy an AI agent that collapsed in production due to cognitive overload. Enterprises are facing similar challenges when building single-agent AI systems and are moving towards multi-agent architectures to distribute responsibilities effectiv.. read more  

Multi-Agent AI Systems: Architecture Patterns for Enterprise Deployment
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@kala shared a link, 4 days, 8 hours ago
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Inside our approach to the Model Spec

OpenAI introduces Model Spec, a formal framework defining behavioral rules for their AI models to follow, aiming for transparency, safety, and public insight. The Model Spec includes a Chain of Command to resolve instruction conflicts and interpretive aids for consistent gray area decisions, emphasi.. read more  

Inside our approach to the Model Spec
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@kala shared a link, 4 days, 8 hours ago
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How OpenAI Codex Works

Engineering leaders report limited ROI from AI, often missing full lifecycle costs. OpenAI's Codex model for cloud-based coding required significant engineering work beyond the AI model itself. The system's orchestration layer ensures rich context for the model to execute tasks effectively... read more  

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@devopslinks shared a link, 4 days, 9 hours ago
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Software engineer interviews for the age of AI

AI is becoming more prevalent in coding interviews, sparking interest from experienced candidates tired of traditional methods. Hiring great engineers is crucial for maintaining reliable services, especially in the era of AI-generated code. System design interviews help identify candidates with hand.. read more  

Software engineer interviews for the age of AI
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@devopslinks shared a link, 4 days, 9 hours ago
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Why system architects now default to Arm in AI data centers

Architects rebase infrastructure torack-levelsystems. They anchor designs onArm NeoverseCPUs. Goal: balance energy, thermals, memory bandwidth, and sustained throughput. Benchmarks showGraviton4(Neoverse) outperforms comparableAMDandIntelEC2instances on price/performance for generative AI, DB, ML, a.. read more  

Why system architects now default to Arm in AI data centers
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@devopslinks shared a link, 4 days, 9 hours ago
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5 Suggestions to Upgrade your OpenTofu/Terraform & AWS Development Experience

The article covers tools and scripts to reclaim focus and improve workflow for OpenTofu, Terraform, and AWS CLI users. Suggestions include tools for easily swapping between versions, summarizing plans, linting code, switching AWS profiles, and customizing prompts. Bonus recommendation includes Task .. read more  

5 Suggestions to Upgrade your OpenTofu/Terraform & AWS Development Experience
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@devopslinks shared a link, 4 days, 9 hours ago
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How I Use LLMs for Security Work

LLMs like Claude, Cursor, and ChatGPT help tackle complex problems, but prompting them like Google won't cut it. Use role-stacking for varied perspectives (e.g.: you are a senior security engineer and sr. software engineer with experience in Docker, Kubernete..) and always specify your tools for bet.. read more  

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