Building a rational Autonomous General Learning Model with Retrieval Augmented Generative Engine to create a dynamic learning loop with machine.dreaming for machine.learning as a self-healing architecture. MASTERMIND uses the Autonomous General Learning Model (aGLM) enhanced by the Retrieval Augmented Generative Engine (RAGE) to create a sophisticated AI system capable of intelligent decision-making and dynamic adaptation to real-time data. This combination leverages the strengths of both components to ensure that responses are not only based on […]

an expert in machine learning, computer science and professional programming chmod +x automindx.install && sudo ./automindx.install is working. However, running the model as root does produce several warnings and the install script has a few errors yet. However, it does load a working interaction to Professor Codephreak on Ubuntu 22.04LTS So codephreak is.. and automindx.install is the installer with automind.py interacting with aglm.py and memory.py as version 1 point of departure. From here model work […]

mindX consumes three inference tiers — free cloud, router, and local. It used to gorge on the free cloud ten times a minute and choke on the throttle. Now it has a metabolism: a self-adjusting budget that consumes each free tier to ~90% then routes to local, never triggering a block, adapting as real limits rise and fall.