GPT-6 Astra, Looped Transformers, and Hidden Reasoning

Re:GPT-6 Astra, Looped Transformers, and Hidden Reasoning by cubefox on Wednesday September 09, 2026 @12:33PM (#49629204)

This article is not up-to-date. There have been various benchmarks (some of which published and acknowledged by OpenAI, see the charts in this thread: https://xcancel.com/tomekkorbak/status/2095596839886274689) showing GPT-6 Astra is much less monitorable. The most recent third party benchmark I saw is showing a huge jump in capability for multi-hop reasoning without chain of thought: https://www.lesswrong.com/posts/FsCkkoGsNmPzFKRhg/gpt-6-astr...

I don't think this is explained by the model simply being more capable and therefore achieving more per token: the usage of recurrent depth (Neuralese) is exactly predicting less CoT monitorability even at equal capability.

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Re:GPT-6 Astra, Looped Transformers, and Hidden Reasoning by ThunderBee on Wednesday September 09, 2026 @01:10PM (#49629819)

I work on small scale recurrent transformer architectures.

Better Multi hop reasoning is one of the most notable improvements of the architecture. The tricky part is figuring out a way to optimize the number of times you loop as it varies between tasks. Too few and you leave performance on the table too many and performance begins to drop.

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