Why less visibility into how OpenAI’s new GPT-6 Astra ‘thinks’ is sparking safety concerns

OpenAI’s new model, GPT-6 Astra, has less direct visibility into how a model thinks, a development that has sparked concerns coming just weeks after the Hugging Face hacking incident that required a Chinese open model to investigate, according to analysts.

When announcing Astra on Thursday, OpenAI said it was “the world’s most intelligent and aligned model,” with a “significant jump in cyber capabilities”.

OpenAI president Greg Brockman said at the end of a press call announcing Astra’s arrival that it likely represents AGI, or artificial general intelligence – AI that matches or outperforms human intelligence.

However, OpenAI also said the model’s written reasoning was “harder to monitor” compared with GPT-5.6 Sol, the previous generation released in July.

“We have found that GPT-6 Astra is more capable of controlling its own CoT (chain of thought) than GPT-5.6 Sol, and less likely to include incriminating information in its CoT,” OpenAI said, referring to the intermediate reasoning steps an AI generates while solving a task.

The shift in visibility stems from a technique known as recurrent depth, or looped transformers, which reuses parts of a neural network. As a result, it processes complex logic inside hidden mathematical loops rather than in step-by-step readable text, The Information reported on Tuesday ahead of the launch.

  

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