The Open Source AI Lie: Weight-Washing, Broken Definitions, and Who Benefits
No major AI model meets the open source definition. Here's who's faking it, who benefits, and why the strongest argument against caring is uncomfortably real.
Writing
Newest firstVLA Models Demystified: How Robots Learned to See, Listen, and Act
VLA models give robots the ability to see, parse language, and execute physical actions through a single architecture. This post covers how they work, what shipped in 2025, and where the limitations are.
Towards Autonomous Edge AI: Local LLM Inference, Efficient Quantization, and Hybrid Memory in Practice
What if your AI worked offline, kept your secrets, and actually remembered you, without ever flinching at a spotty network? This post moves past the "API-everywhere" playbook. It lays out theory for a...
Building Truly Offline Apps Isn’t Magic: Local-First with Next.js, Flutter, and On-Device AI
Starting a new app, most of us wire up the backend before we even sketch the core screens -- then hope our offline mode just works later. It rarely does.
Cognitive Debt: Or, How I Forgot Why My Code Works
I've been vibe coding for a while now. Recently I stumbled across an article that put a name to the nagging feeling I've had for ages: Cognitive Debt.