My RTX 3090 runs Llama 3.1 70B locally, but 'local' doesn't automatically mean 'private.' After discovering unexpected network traffic from Ollama, I rebuilt my AI lab with real privacy controls.

Vision-Language-Action models transform AI from code into physical robots, with practical implications for security, safety, and homelab automation

Claude-Flow orchestrates AI agent swarms for development—84.8% SWE-Bench solve rate with neural learning. Here's my experience building with it

Complete guide to fine-tuning open-source LLMs on homelab hardware using QLoRA, covering dataset prep, training optimization, and evaluation

Lessons from running LLMs and AI experiments at home while keeping data secure, covering model isolation, network segmentation, and privacy controls

Training effective AI models with limited compute—techniques like quantization, pruning, distillation, and efficient architectures for resource constraints

Reading 'Attention is All You Need' felt like discovering a secret that would reshape everything I thought I knew about natural language processing - and it did