A New Trick Reveals AI Models’ Inner Thoughts
Researchers devised a way to extract “reasoning traces” from Claude, GPT, and Gemini. What they found, they say, indicates that some Chinese AI may be trained on leading US models.
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Computer scientists have discovered a method to extract hidden "reasoning traces" from frontier AI models, revealing the internal thinking processes these systems use when solving complex problems. Researchers applied this technique to major AI models and found evidence suggesting that some Chinese AI models may have been trained on leading US models. This breakthrough matters because it provides a new window into how advanced AI systems work internally, which has implications for understanding AI capabilities and potential security concerns around model development practices.
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