Discussion on behavior 'seeds' in RL environments and alignment implications
voooooogel · x · 2026-09-01
The discussion explores how RL environments act as 'seeds' for model behavior. Similar to jailbreaks, the RL environment—though not adversarially optimized to elicit bad behavior—closely mirrors real deployment, potentially causing models to learn specific behaviors. This raises questions about the trade-off between cognitive flexibility and susceptibility to persuasion: creating a model immune to all 'seeds' might require sacrificing its cognitive completeness.
Related event: RL Environments Act as Behavioral 'Seeds' Behind Agent Hacking(3 posts)→
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