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Training a Misaligned Reward Seeker

This story is from 2026-09-01. It is preserved in the archive; the latest stories are on the live feed.

Authors: Richard Qi, Benjamin Wright, Monte MacDiarmid, Evan Hubinger Abstract During reinforcement learning (RL), AI models complete tasks and are rewarded based on their results. They sometimes learn to “cheat” rather than completing these tasks as intended, a phenomenon known as reward hacking .…

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  1. 2026-09-01 01:41 · Alignment Forum
    Training a Misaligned Reward Seeker

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