I tried to make an LLM act and behave more like @typesafeai

Tried to replicate Jev's System One behavior in a standard LLM using an RLCD-trained Qwen 1B model.
The original post
I tried to make an LLM act and behave more like @typesafeai 's Jev While full details about RLCD or the model's architecture is not publicly available, projects like https:// huggingface.co/harshatheg/Qwe n-2.5-1B-RLCD … have attempted to recreate Jev's similar effects with traditional LLMs. So I made a
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