Oak Codex
AI forgets everything past its context window. And when it forgets, it starts making stuff up. I built SOKK, a career assistant that dropped hallucination from 24% to under 3% using dual-gate verification. Then I built UOCE, a context engine that reduced token usage by 67-95%. This episode breaks down the architecture, the research backing it, and what I'd do differently. If you work with LLMs, this might change how you think about memory.
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