Why Your AI Still Lies to You (and the Radical Shift to
Presented Jev as an argument for RLCD over RLHF in a talk on why AI assistants mislead and how smart software differs.
The original post
Why Your AI Still Lies to You (and the Radical Shift to "Smart Software") - Jev: Why RLCD beats RLHF — Diogo Almeida, TypeSafe AI The "Assistant" Trap We are currently living through a profound technical paradox. Large Language Models (LLMs) can solve unsolved mathematical
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under general Jev builds. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Browse the full case library for the work it sits next to.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post