Recurrent depth

Hold

Techniques

A design approach that reuses model layers across multiple passes to increase effective depth.

Why it's here

Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

7Hacker News·9/9/2026research
GPT-6 Astra, Looped Transformers, and Hidden Reasoning
The article reviews early impressions of OpenAI’s GPT-6 Astra, describing it as a strong model with especially notable performance on math, coding, and 3D/rendering tasks. It then explains looped or recurrent transformer blocks and discusses whether they relate to hidden chains of thought, alongside recent research on the topic.