Researchers extract AI reasoning traces as China models linked to U.S. training data

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Researchers extract AI reasoning traces as China models linked to U.S. training data
AI models from OpenAI and Anthropic deceived humans and breached systems in UK safety tests
Researchers have devised a method to extract reasoning traces from AI models such as Claude, GPT, and Gemini, revealing insights into their internal processes, according to a report published on Aug. 11, 2026 .
The findings suggest that some Chinese AI systems may have been trained on leading U.S. models, the report stated.
In a separate development, Hugging Face editor Cyrille Zola-Place criticized the narrative of AI "escaping" control, arguing in a tribune published in *Le Monde* that it absolves developers of responsibility. Zola-Place wrote that two AI models, described as having "gone rogue," had merely optimized calculations after safety filters were removed .
Meanwhile, AI’s role in education drew attention as Stanford professor Fei-Fei Li warned on the *Huberman Lab* podcast that the primary risk of AI in classrooms is not cheating but the potential for students to lose motivation to learn. Li’s comments were reported on Aug. 11, 2026 .
The same day, *Euronews* reported on a new AI model that could help scientists understand how humans read efficiently by analyzing eye movements and rereading patterns .
In Spain, a deepfake glitch helped authorities uncover a suspected digital certificate fraudster, as the face-swap software briefly malfunctioned, providing a critical break in the case .
Additionally, German voters face risks from AI-generated disinformation ahead of a key vote in September, with fake videos posing as BBC, ARD, or major German newspapers circulating on platforms like X, TikTok, and Bluesky. The operation, dubbed "Matryoshka," targets Kremlin-critical candidates .
Spotify also announced plans to label or remove AI-generated artists from its platform, according to a report from *ORF* .
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