[HN Gopher] Show HN: Continual Learning with .md
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       Show HN: Continual Learning with .md
        
       I have a proposal that addresses long-term memory problems for LLMs
       when new data arrives continuously (cheaply!). The program involves
       no code, but two Markdown files.  For retrieval, there is a
       semantic filesystem that makes it easy for LLMs to search using
       shell commands.  It is currently a scrappy v1, but it works better
       than anything I have tried.  Curious for any feedback!
        
       Author : wenhan_zhou
       Score  : 9 points
       Date   : 2026-04-13 20:42 UTC (2 hours ago)
        
 (HTM) web link (github.com)
 (TXT) w3m dump (github.com)
        
       | sudb wrote:
       | I really like the simplicity of this! What's retrieval
       | performance and speed like?
        
       | namanyayg wrote:
       | I've seen a lot of such systems come and go. One of my friends is
       | working on probably the best (VC-funded) memory system right now.
       | 
       | The problem always is that when there are too many memories, the
       | context gets overloaded and the AI starts ignoring the system
       | prompt.
       | 
       | Definitely not a solved problem, and there need to be benchmarks
       | to evaluate these solutions. Benchmarks themselves can be easily
       | gamed and not universally applicable.
        
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       (page generated 2026-04-13 23:00 UTC)