InferenceFS: The data-free filesystem powered by LLMs
Summary
InferenceFS proposes storing data by using the latent space of an LLM, keeping only filenames as metadata. It claims near-infinite compression by mapping contents to model-inferred data, and describes multiple backends and an open-source implementation. The concept raises questions about data availability, privacy, and practical performance.