OpenAI's Astra Model Adopts Opaque Recurrence Technique
OpenAI's new Astra model uses a 'recurrent depth' reasoning technique that could make its chain of thought harder to monitor, alarming AI safety experts

OpenAI's upcoming Astra model will employ a reasoning method called 'recurrent depth,' according to a Tuesday report from The Information. This technique, also termed 'opaque recurrence,' allows the model to operate outside the sequential thinking that defines most reasoning models, potentially making its internal reasoning process more difficult to monitor.
AI safety experts have expressed significant concern about the development. Redwood Research CEO Buck Shlegeris stated he is 'extremely concerned' by the reporting. He warned that if OpenAI pushes the technique further, they could 'massively increase the recurrence and totally destroy CoT monitorability.'
How Opaque Recurrence Works
Typically, a reasoning model's chain of thought provides a sequential log of the steps it takes to solve a problem. While imperfect, this log is a important tool for detecting misbehavior or misalignment in AI systems. Opaque recurrence represents a different approach.
The model processes the same query multiple times in a loop, taking a less linear path. This method leaves fewer legible traces, effectively bypassing a conventional, readable chain-of-thought record. The core fear is that this could make AI reasoning opaque and unmonitorable.
Expert Warnings and Industry Reaction
Longtime AI safety advocate Zvi Mowshowitz suggested laws might be needed to prevent a safety 'race to the bottom' among AI labs. He argued the technique risks breaking a taboo that labs like OpenAI and Anthropic have worked to establish around maintaining chain-of-thought faithfulness.
In a follow-up report Wednesday, The Information noted that both Anthropic and Google DeepMind are already discussing the opaque recurrence technique. This indicates the method could see broader industry adoption.
Redwood Research chief scientist Ryan Greenblatt outlined a specific progression risk. He fears scaling up opaque reasoning could lead to models reasoning 'entirely or almost entirely in latent space,' removing all reasoning from visible channels.
OpenAI's Stance on Monitoring
OpenAI has pushed back against suggestions it is abandoning transparent reasoning. The company emphasized that Astra's use of opaque recurrence is reportedly limited and that the model's chain of thought is still expected to be legible. OpenAI has announced plans for extensive chain-of-thought monitoring systems as part of its safety roadmap.
Chief scientist Jakub Pachocki showed this commitment in a post on X. 'OpenAI has worked to preserve and use chain-of-thought monitoring since our very first reasoning models,' he wrote. 'It's a core goal of our current research program.'
All AI models perform some opaque reasoning, and few researchers view chain-of-thought logs as a perfect representation of a model's internal process. However, these caveats have not dispelled the underlying concern. The emergence of a technique designed to reduce legibility marks a significant shift that safety experts find alarming. The debate centers on whether the pursuit of advanced capabilities is outpacing the development of necessary safety guardrails.





