Unlocking Scalable AI Solutions: A Breakthrough Memory Architecture
Curious about how to scale AI systems without breaking the bank? My innovative approach leverages an O(1) memory architecture that maintains consistent memory usage, regardless of task size. Here’s a glimpse of what I’ve achieved:
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Consistent Memory Usage:
- 1,000 tasks: ~3GB
- 100,000 tasks: ~3GB
- 100 million tasks: ~3GB
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Innovative Technology:
- Utilizes SHA-256 hashing in a Merkle tree.
- Allows semantic retrieval while preserving signal and discarding noise.
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Background:
- Solo developer based in Norway.
- Using 2013 Intel i7-4930K hardware.
This architecture is an exciting milestone for AI systems, allowing efficient storage of massive interactions without exponential cost.
I welcome feedback, skepticism, and ideas for collaboration. Excited to discuss potential acquisitions too!
📢 Let’s connect! Share your thoughts and help spread the word.
