VERANTYX is an experiment in making AI reasoning structural rather than purely statistical.
The system:
• runs locally
• uses small, explicit rule sets
• falls back to LLMs only when structure is missing
• marks all mined output as provisional
The long-term idea is that as the DB grows, dependence on large models shrinks.
This is not about outperforming GPT-4-class models.
It’s about making reasoning transparent, testable, and cheap enough for individuals.
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[ 3.3 ms ] story [ 15.5 ms ] threadThe system: • runs locally • uses small, explicit rule sets • falls back to LLMs only when structure is missing • marks all mined output as provisional
The long-term idea is that as the DB grows, dependence on large models shrinks.
This is not about outperforming GPT-4-class models. It’s about making reasoning transparent, testable, and cheap enough for individuals.