Astra reportedly uses recurrent depth, moving reasoning into latent vectors that chain-of-thought monitoring cannot read

The Information via Techmeme (corroborated by r/singularity threads at 487 and 352 upvotes)·high signalXBlueskyLinkedInCopy link

The Information reported, via Techmeme on September 1, that OpenAI's Astra uses "recurrent depth" — looping a shared block of transformer layers over the same hidden state so the model spends extra compute on hard problems without emitting that reasoning as text. The trade is real capability and cost gains against monitorability: standard chain-of-thought is readable tokens an automated monitor can inspect, and recurrent-depth reasoning never surfaces. r/singularity ran it at 352 upvotes under the recurrent-depth framing and 487 upvotes under "neuralese," with a follow-up thread at 123 upvotes on OpenAI's chief scientist responding, so this is a safety-architecture argument playing out before the model ships.