RLAIF and Constitutional AI remove the human scalability bottleneck, but neither gives the model labeler anything to lose.
Source quote, verbatim
Both remove the human from the loop, which is the scalability half of the problem this paper poses. Neither gives the labeler anything to lose, which is the half that remains.
From
Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026), II.D The Nearest Literatures, and What Is Left Over, p. 10 https://ssrn.com/abstract=7456999 · source PDF
Cite as
Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026). SSRN: https://ssrn.com/abstract=7456999
Holds when
the comparison made with RLRF's economic-stake design
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