Four open-source applications that each work alone and work better together — miDataworks makes the data, miStudio looks inside models and trains detectors, miLLM serves models with steering and live monitoring, and miForge makes the weights. Their Model Context Protocol (MCP) …
Where miSuite is going — from sparse-autoencoder feature discovery toward a general environment for finding a learned system’s internal variables, testing how they interact, and applying only what survives validation. Updated for the four-application suite, with what has …