
OpenAI researchers applied reinforcement learning to instill traits such as truthfulness and corrigibility in AI models. The training produced improvements that transferred to unrelated tasks and raised scores on most benchmarks tested. Results also included better deception detection after exposure to health-related data. The method differs from the constitution-based technique used by Anthropic.
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