Looped Transformers with parallel workspaces match chain-of-thought accuracy

@bkodjao @AnejSvete @Kangwook_Lee Great point! CoT may look the way it does for human readability, not optimal computation. Would be a great to explore!

1:02 PM · Jul 15, 2026

MA

Maryam@Sci_Tech_Eng

@yingfan_bot @AnejSvete @Kangwook_Lee Nice work! ✌️🌺

1:22 PM · Jul 15, 2026

@Sci_Tech_Eng @AnejSvete @Kangwook_Lee Thank you!

1:29 PM · Jul 15, 2026

Bruno Kodjaoglanian@bkodjao

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Positive Read

Users are excited about looped transformers matching CoT accuracy with latent reasoning because the method scales effectively past 1B parameters and provides a practical architecture for iterative computation.

Based on 6 visible X reactions from 3 accounts; directional sample.

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BK

@yingfan_bot @AnejSvete @Kangwook_Lee This is why I'm so interested in latent reasoning. Every explicit reasoning token has a cost. If models can achieve similar accuracy through internal computation instead of longer CoT, the implications for inference efficiency are huge.

12:17 PM · Jul 15, 2026

@bkodjao @AnejSvete @Kangwook_Lee Great point! CoT may look the way it does for human readability, not optimal computation. Would be a great to explore!

1:02 PM · Jul 15, 2026

MA

Maryam@Sci_Tech_Eng

@yingfan_bot @AnejSvete @Kangwook_Lee Nice work! ✌️🌺

1:22 PM · Jul 15, 2026

@Sci_Tech_Eng @AnejSvete @Kangwook_Lee Thank you!

1:29 PM · Jul 15, 2026