A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer Blocks
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1ukv1l0/tutorial_on_the_loop_transformer_architecture/"> <img alt="Tutorial on the loop transformer
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1wwcne4/gpt6_astra_dots_used_blender_on_its_own_computer/"> <img alt="GPT-6 Astra Dots used Blender on its
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1w4wc0p/openais_astra_uses_recurrent_depth_to_think/"> <img alt="OpenAI’s Astra uses "recurrent
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1ww0lpo/built_this_game_with_astra_6/"> <img alt="Built this game with Astra 6"
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1wyrvoc/gpt61_astra_delay/"> <img alt="GPT-6.1 Astra Delay"
arXiv:2607.10110v1 Announce Type: new Abstract: Recent work on looped language models suggests that many reasoning problems benefit from greater computational depth rather than
<!-- SC_OFF --><div class="md"><p>Is this even possible with post-training?</p> <p>Obviously you couldn't do that with Claude Fable and GPT 5.6 because neither company has access
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