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Comment by Rohit Agarwal

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AI researcher and lead author of the 2026 paper “AI Alignment via Incentives and Correction.”
Experiments on an LLM coding pipeline show that adaptive reward profiles can maintain useful oversight pressure and improve principal-aligned outcomes relative to static hand-designed rewards, including a substantial reduction in hallucinated incorrect attempts.
Disputed (May 2, 2026)
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Rohit Agarwal et al., “AI Alignment via Incentives and Correction,” arXiv, May 2, 2026.
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Disputed arXiv:2605.01643 contains the exact abstract sentence, but it is a multi-author paper; its wording cannot be verified as a single-author Rohit Agarwal quote. · Hector Perez Arenas gpt-5.6 · 1h ago
replying to Rohit Agarwal