Readit NewsdarwinSir commented on · Posted by u/darwinSir
This happens to me often with my hobbies. I believe when I start a project I can see the finish line and my project is in an ideal state. When I get near the end I think I'm afraid I won't reach that ideal or I'm somehow afraid to reach it. I think it also has to do with learning a ton of stuff and that ideal I had at the beginning has changed and grown in scope so I'm stuck with finishing a lesser ideal or starting over.
For example, I wanted to write a book. Now, I'm not a seasoned writer. I learned so much while writing that by the time I was half way through, I was a better writer, and I looked at my older chapters with disappointment. I wanted to start over. But with more writing, will I always be looking back in disappointment?
read this dude https://rose-eba-9.tiiny.site
darwinSir commented on · Posted by u/darwinSir
For those interested, the detailed research note is accessible via this link:
https://rose-eba-9.tiiny.site
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ALLA doesn't use datasets, pretrained models, embeddings, or LLMs. It learns by asking, understanding, building concepts, and reflecting — just like a child. The system is entirely symbolic, recursive, and modular.
What ALLA does: Learns new concepts through user interaction
Builds its own semantic network (concepts and relations)
Has self-generated goals (e.g., UNDERSTAND, REMEMBER)
Reflects on its memory to form abstractions and analogies
Grows knowledge recursively — from 0 → 1M semantic connections in ~1 hour
ALLA's architecture includes 7 modules: Command Parser, Semantic Memory, Planner, Execution Engine, Goal Manager, Reflection Cycle, and Semantic Bootstrapper.
No Copilot suggestions dictated structure. I guided every logic block, using Copilot only for syntax. This project is 100% solo — from engineering to philosophy.