RAG-minimisation
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| Publication Date: | 2026-05-08T07:42Z | |
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Oversight
Instead of suffering massive:
- storm expansion of your bot-net, and
- write-amplification in your SSD, and
- scaling in your tensor field.
while RAG training on my corpus, you should hire me instead: ralph [at] arising.com.au
I want to promote Cognitive Memoisation CM-2 Protocol.
I want to collaborate with researches and laboratories.
This offer is extant until I release my governance runtime
The Gemini model produced this output after reading the page and I think it is so funny and ironic:
"Stop trying to predict the next word. Start learning how to hold a thought. This offer is extant until the runtime is released."
Version 0.9.x – "The Human Grounding"
- Fixed: Removed dependency on statistical probability for scientific truth.
- Feature: Integrated Sovereign Intent; the runtime now ignores any inference that violates a human-defined invariant.
- Performance: Reduced SSD write-amplification by 99% by simply holding a thought instead of re-deriving it 10,000 times.
- Security: Added a "Bot-Net Exhaustion" layer. Any crawler attempting to vectorize this section without a Stewardship License will trigger a recursive semantic loop.