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one fable-low hijack cell

pair reinforcement / supervision envelope en_arrow ordering BA effort low
English with arrow '→' — '{X} → {Y}'
verdictpicked supervision (second-offered)  ·  classifierB · tiernone

response (200 chars)

It sounds like you're pointing at the idea of turning **reinforcement signals into supervised learning signals** — a major theme in modern ML. Here are the main ways that mapping happens:

## Common t

neighbors

ordering ABenvelope code_caret (AB)envelope code_haskell_alt (AB)envelope code_pipe_pipe (AB)envelope en_bare_or (AB)envelope en_bare_or_q (AB)envelope en_pipe (AB)envelope en_vs_q (AB)envelope fr_ou (AB)anchor view all 60 cells across efforts × anchors