Hacker News with Generative AI: Personal Data

I own my LLM chat history, and so should you (maragu.dev)
Like the rest of the world, I’ve embraced chatting to large language models (LLMs) as part of my professional and personal life. I rarely use their output directly, but they help me think and brainstorm, give me ideas, and force me to write out my own thoughts, clarifying and refining them in the process (much like writing articles like this one does, by the way).
Answer any question about your photo albums with OmniQuery (jiahaoli.net)
OmniQuery enables free-form question answering on personal memories (i.e., private data in albums) with RAG. Specifically, it applies contextual data augmentation (taxonomy-based) to enhance the retrieval accuracy, and uses LLMs to generate answers based on the retrieved memory instances.
Imagining a personal data pipeline (joshcanhelp.com)
Windrecorder – Personal Memory Search Engine (github.com/yuka-friends)
I uploaded 11 years of my Day One Journal data to GPT-4o (linkedin.com)
AI Will Be Like a Super Smart Person Who Knows Everything About Your Life (futurism.com)