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- OpenAI has trained its LLM to confess to bad behavior
OpenAI has trained its LLM to confess to bad behavior Large language models often lie and cheat We can’t stop that—but we can make them own up
- OpenAI is training models to confess when they lie - what . . .
OpenAI is training models to 'confess' when they lie - what it means for future AI A new study made a version of GPT-5 Thinking admit its own misbehavior
- How confessions can keep language models honest | OpenAI
Sometimes a model takes a shortcut or optimizes for the wrong objective, but its final output still looks correct If we can surface when that happens, we can better monitor deployed systems, improve training, and increase trust in the outputs Research by OpenAI and others has shown that AI models can hallucinate , reward-hack, or be dishonest
- OpenAI prompts AI models to ‘confess’ when they cheat
OpenAI’s research team has trained its GPT-5 large language model to “confess” when it doesn’t follow instructions, providing a second output after its main answer that reports when the
- The truth serum for AI: OpenAI’s new method for training . . .
OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy
- OpenAI is teaching AI models to confess when they . . .
OpenAI has introduced a new research method called “confessions,” which trains AI models to self-report when they take shortcuts or break instructions Here’s how it works
- OpenAI AI Confessions Train Models to Admit Mistakes
OpenAI explains that confessions are effective because they separate objectives entirely While the main answer optimizes for multiple factors, the confession is trained solely on honesty The model faces no penalty for admitting bad behavior in its confession, creating an incentive for truthfulness
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