A New Trick Reveals AI Models’ Inner Thoughts
Researchers cracked open Claude, GPT, and Gemini's reasoning traces—and found evidence some Chinese models may be trained on US frontier labs.

Why it matters
A new interpretability technique reveals model internals at scale, raising both technical and geopolitical questions about model lineage and training data provenance in the frontier AI race.
The key facts
5 to knowNew method to extract 'reasoning traces' from Claude, GPT, and Gemini
Evidence suggests some Chinese AI models trained on leading US models
Interpretability breakthrough enabling inspection of model internals
Geopolitical implications for frontier lab competition
Published August 2026
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Wired Businesswired.com
Publisher excerpt: 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.