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Ai

  1. Ai·10 min read·

    A Month of Modularization: nexus-agents in April 2026

    Extracting benchmarks into a standalone package was the punchline. The setup was a month of governance, skills, security, and pipeline discipline that made the extraction possible in an afternoon.

  2. Security·6 min read·

    Investigating the Trivy Supply Chain Compromise with AI Agents

    How I used AI-assisted investigation to triage the trivy-action supply chain attack across my homelab repos — and some thoughts on weekend incident response and community notification gaps.

  3. Ai·11 min read·

    Building Nexus-Agents: What I Learned Creating a Multi-Model AI Orchestration System

    The engineering story behind nexus-agents, a research-backed multi-model orchestration system that coordinates Claude, Gemini, and Codex through consensus voting, adaptive routing, and graph workflows.

  4. Ai·8 min read·

    Consensus Voting With AI Models: When Three Opinions Beat One

    How multi-model consensus voting catches blind spots that single models miss. The research behind adversarial roles, Bayesian aggregation, and structured deliberation across Claude, Gemini, and Codex.

  5. Ai·8 min read·

    From RouteLLM to Contextual Bandits: How Research Papers Shaped My Model Router

    How I went from naive round-robin model selection to a five-stage routing pipeline backed by RouteLLM, TOPSIS, and LinUCB research. The failures that led to each improvement.

  6. Ai·16 min read·

    From 150K to 2K Tokens: How Progressive Context Loading Revolutionizes LLM Development Workflows

    Optimize LLM workflows with progressive context loading—achieve 98% token reduction using modular architecture for efficient production deployments.

  7. Ai·9 min read·

    From Claude in Your Terminal to Robots in Your Workshop: The Embodied AI Revolution

    Deploy Vision-Language-Action models for embodied AI robots—integrate physical world interaction with security considerations for homelab automation.

  8. Ai·10 min read·

    AI as Cognitive Infrastructure: The Invisible Architecture Reshaping Human Thought

    Understand AI cognitive infrastructure shaping how billions think—explore societal effects of language models transforming from tools to thought systems.

  9. Ai·6 min read·

    Supercharging Development with Claude-Flow: AI Swarm Intelligence for Modern Engineering

    Deploy Claude-Flow AI agent swarms for development—achieve 84.8% SWE-Bench solve rate with neural learning and multi-agent orchestration for complex tasks.

  10. Ai·13 min read·

    Down the MCP Rabbit Hole: Building a Standards Server

    Build MCP standards server for Claude AI—implement Model Context Protocol for intelligent code standards and context-aware workflows.

  11. Ai·11 min read·

    Exploring Claude CLI Context and Compliance with My Standards Repository

    Transform Claude CLI with standards integration—achieve 90% token reduction and automate workflows using context-aware MCP server architecture.

  12. Ai·8 min read·

    Local LLM Deployment: Privacy-First Approach

    Deploy local LLMs for privacy-first AI—run language models on homelab hardware with model selection, optimization, and deployment strategies.

  13. Ai·17 min read·

    Fine-Tuning LLMs in the Homelab: A Practical Guide

    Fine-tune LLMs on homelab hardware with QLoRA and 4-bit quantization. Train Llama 3 8B models on RTX 3090 with dataset prep and optimization strategies.

  14. Ai·4 min read·

    Securing Your Personal AI/ML Experiments: A Practical Guide

    Secure personal AI experiments with model isolation and network segmentation—protect LLM deployments using privacy controls and threat modeling.

  15. Llm·9 min read·

    LLM-Powered Security Alert Triage with Local Models

    Automate security alert analysis using local LLMs (Ollama) for privacy-preserving incident response. Reduce alert fatigue with AI-powered triage without cloud dependencies.

  16. Ai·14 min read·

    GPU Power Monitoring in My Homelab: When Machine Learning Met My Electricity Bill

    Monitor GPU power with NVIDIA SMI and Grafana dashboards—reduce ML training electricity costs by 40% using optimization strategies for RTX 3090.

  17. Ai·14 min read·

    Multimodal Foundation Models: Capabilities, Challenges, and Applications

    Build multimodal AI systems with GPT-4 Vision and CLIP—process text, images, and audio together for next-generation foundation model applications.

  18. Ai·14 min read·

    Context Windows in Large Language Models: The Memory That Shapes AI

    Understand LLM context windows from 2K to 2M tokens—optimize model performance and prevent hallucinations at 28K token boundaries.

  19. Ai·14 min read·

    Large Language Models for Smart Contract Security: Promise and Limitations

    Test LLM smart contract security with GPT-4 and Claude—achieve 80% reentrancy detection accuracy but manage 38% false positives in production workflows.

  20. Ai·45 min read·

    AI Learning in Resource-Constrained Environments

    Train AI models on resource-constrained hardware with quantization, pruning, and distillation—run GPT-3 capabilities 100x faster through compression.

  21. Ai·15 min read·

    AI Meets Edge Computing: Transforming Real-Time Intelligence

    Deploy AI edge computing with YOLOv8 and TensorFlow Lite—achieve 15ms latency for real-time inference on Raspberry Pi with local processing for privacy.

  22. Ai·20 min read·

    AI: The New Frontier in Cybersecurity – Opportunities and Ethical Dilemmas

    Deploy AI-powered cybersecurity with automated threat detection—achieve 73% accuracy in anomaly detection catching attacks SIEM systems miss.

  23. Ai·12 min read·

    Learning from Nature: How Biomimetic Robotics is Revolutionizing Engineering

    Design biomimetic robots inspired by nature—implement gecko adhesion, swarm intelligence, and soft robotics using billions of years of evolution.

  24. Ai·10 min read·

    Teaching AI Agents to Ask for Help: A Breakthrough in Human-Robot Interaction

    Train embodied AI agents with vision, language, and physical interaction—build robots that learn from real environments using reinforcement learning.

  25. Ai·11 min read·

    Mastering Prompt Engineering: Unlocking the Full Potential of LLMs

    Master prompt engineering with few-shot learning and chain-of-thought techniques—improve LLM response quality by 40% through systematic optimization.

  26. Ai·11 min read·

    The Ethics of Large Language Models

    Address LLM ethics including bias, privacy, and accountability—implement responsible AI frameworks for large language model deployment in production.

  27. Ai·18 min read·

    The Evolution of High-Performance Computing: Key Trends and Innovations

    Deploy high-performance computing with parallel processing and distributed systems—access supercomputer capabilities through cloud HPC for AI workloads.

  28. Ai·16 min read·

    Retrieval Augmented Generation (RAG): Enhancing LLMs with External Knowledge

    Build RAG systems with vector databases and semantic search—eliminate LLM hallucinations and ground responses in verified knowledge for trustworthy AI.

  29. Ai·14 min read·

    The Transformer Architecture: A Deep Dive

    Master transformer architecture with self-attention and positional encoding—understand the foundation of GPT-4, BERT, and modern language models.

  30. Ai·13 min read·

    Open-Source vs. Proprietary LLMs: A Battle of Accessibility, Customization, and Community

    Compare open-source vs proprietary LLMs with Llama 3 and GPT-4 benchmarks—understand performance, cost, and customization trade-offs for production.

  31. Ai·10 min read·

    The Deepfake Dilemma: Navigating the Threat of AI-Generated Deception

    Detect AI-generated deepfakes with neural network analysis and authentication methods—combat misinformation with 73% accuracy detection models.