The AI Daily Brief · Wednesday, September 2, 2026
A technical breakthrough called 'recurrent depth,' involving a looped transformer, is reportedly enhancing Astra's reasoning and efficiency but also creates concerns about AI observability. This technique allows the model to process text multiple times internally, partially obscuring its reasoning process from human understanding. While OpenAI claims to use it in a limited way, experts worry about potential unfettered use by other developers.
“The technique is called recurrent depth, which uses a looped transformer. Functionally, this means the model can process the same text string multiple times to improve its response before generating an output.”
“AI researchers quote, 'worry that some AI developers may not impose the same kind of limits OpenAI did if they adopt the same technique for their own models, and that unfettered use of the technique could potentially lead to runaway AI whose actions can be hard to oversee.'”
“My biggest concern is that a natural progression from here would involve scaling up the opaque reasoning to the point where the model reasons entirely or almost entirely in latent space. This would very likely destroy the usefulness of chain of thought for monitoring and oversight.”