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The Data Transfer Project makes it easy for platforms to build interoperable user data portability features. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers.
A few Python tools to get local macOS data into & out of quasi-RAG LLMs like ChatGPT Projects, NotebookLM, Claude & Grok. Export Finder Structure Snapshots to LLMs, Save ChatGPT History as Markdown, etc.
A dual-feature data portable MRS designed to predict user's music preferences under two recommending algorithms and bridge the gap between various music streaming platforms, notably Spotify and TIDAL.