A technical and strategic case for a FOSS, file-centric, BYOK LLM development platform that prioritizes structural privacy guarantees, vendor independence, and auditable reproducible workflows over proprietary chat-based AI tooling.
A self-reflexive examination of the 'slop' label applied to AI-assisted intellectual work, arguing that presentation and honesty — not production method — should be the decisive criteria for evaluating LLM-involved content.
Professional resume of Andrew Charneski, a senior software engineer and AI architect with 20+ years of experience in AI/ML research, distributed systems, cloud infrastructure, and full-stack development.
A first-person critique of Ohio's institutional machinery — from pediatric growth charts weaponized as parental fitness metrics to LifeWise Academy's religious sorting of public school children — tracing how Westerville's Anti-Saloon League heritage shapes a system of selective enforcement that exposes secular, single-father households to structural harm.
