Thank you for the thoughtful breakdown. While you raise valid points about LLMs fundamental architecture and limitations, I believe this actually reinforces rather than contradicts my original argument.
The solution I’m advocating for doesn’t necessarily require expanding the core LLM capabilities or implementing costly per user training. The infrastructure and technical components already exist…they’re just not being leveraged optimally.
Consider how these platforms already:
- Process and understand complex queries in real-time
- Identify key information and patterns within conversations
- Track conversation context and relationships
- Generate structured outputs from unstructured inputs
The challenge isn’t about making LLMs “remember” everything or extending context windows indefinitely. It’s about intelligently capturing and organizing valuable outputs as they occur naturally within existing limitations.
Think of it like this: When Spotify shows you your yearly wrapped, it’s not reconstructing your entire listening history from scratch…it’s because they’ve been intelligently tracking and categorizing key data points all along. AI platforms could implement similar systems for knowledge preservation without fundamentally altering their LLM architecture.
The core capabilities are there. The computing infrastructure exists. What’s missing is the strategic prioritization to build this layer that connects existing capabilities into a coherent knowledge preservation system.
This isn’t about pushing against the technical limitations you’ve described… it’s about better utilizing what we already have. The first company to recognize and execute on this will have a significant competitive advantage, not because they’ve solved the fundamental LLM limitations, but because they’ve built something valuable within those limitations.
- “Just use Markdown for documentation”
- “There are open-source tools for this”
- “Write a script to parse your exports”
- “Set up a knowledge management system”
I’ve tried them all. The problem isn’t that solutions don’t exist…it’s that they all require significant time investment. When I’m deep in a flow state with an Al tool, the last thing I want to do is context switch to manually organize my insights. And let’s be real saying “I’ll document this later” is where good ideas go to die lol.