@rohanpaul_ai: The information reports Astra reportedly uses "recurrent depth," or a "looped transformer," which helped its performanc…

The information reports Astra reportedly uses “recurrent depth,” or a “looped transformer,” which helped its performance while making some internal reasoning less readable.

A looped transformer, or recurrent-depth model, can run the same information through the same transformer layers multiple times before producing the next token, instead of passing through each layer just once in a fixed stack.

That gives the model more computation per token without proportionally increasing its parameter count, potentially letting a smaller model behave more like a larger one while using less memory and bandwidth.

The concern is that more of this reasoning can happen inside internal numerical states rather than readable chain-of-thought text, making human monitoring harder.

Rohan Paul (@rohanpaul_ai): OpenAI says Astra is its first model to reach the Critical cybersecurity capability threshold.

Under its Preparedness Framework, that means Astra can, with the right tools and access, find unknown flaws and develop exploits across hardened systems without step-by-step human