Statistical Sync: Reconnecting Fragmented AI Memory — Lecture at Minga Multimedia de Arte y Tecnología

Invited to lecture at Minga Multimedia de Arte y Tecnología (mLAT) · July 2026

I've been invited to present Statistical Sync — a local-first ecosystem I built to reconnect fragmented AI memory across tools, projects, and time.

The system comprises three tools: Statistical Recall — search engine for AI conversation history Statistical Lock — AES-GCM-256 encrypted vault with pre-seal content awareness ST.RE.M — a memory layer for music creation, with Creative Threads (Statistical Sync) built in

The core logic: Recall finds. Lock protects. ST.RE.M excavates. Sync connects.

For the music research community, ST.RE.M introduces Bio-Datarcheology: reducing prompt repetition enriches creative diversity and enables deeper pattern recognition over time — a musicological hypothesis with direct implications for how composers interact with AI tools.

All tools run locally. No cloud analysis. The memory stays yours.

Presenting at a Minga feels right. The work is about what becomes possible when nothing is lost.

Grateful to my mentor Juan José Ripalda for the invitation.

— Kevin J. Blade Transdisciplinary Artist & System Architect