r/MachineLearning · · 1 min read

Is personalized AI memory actually a problem worth solving or am I just coping[D]

Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.

genuine question for this community

every time i use claude or chatgpt i have to re-explain myself. and even their memory feature is shallow it remembers facts about me, not how i actually think.

the idea i've been sitting on is different from just "memory across sessions."

what if the system built a dynamic personal database about you over time. not just what you asked , but how you think, where you keep failing, what explanations actually worked for you, what concepts you're persistently confused about.

so overtime the database itself evolves. it starts understanding your cognitive patterns. when you ask something new it doesn't just search your history it knows you always struggle with hierarchical concepts, it knows graph analogies work better for you than math, it knows you've asked about this topic 4 times and still don't get one specific part.

the retrieval gets smarter as the database grows. the LLM gets more personalized context each time. the system literally gets better at understanding you the more you use it.

not a chatbot. not a RAG over documents. a dynamically growing cognitive profile that makes any LLM actually understand you.

does this problem resonate with anyone here or is it too niche...

submitted by /u/Commercial-Kale-5271
[link] [comments]

Discussion (0)

Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.

Sign in →

No comments yet. Sign in and be the first to say something.

More from r/MachineLearning