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    Shuran Song Suggests Transformer for Designing Next Transformer

    Stanford professor shares suggestion on social media referencing prior post by @haqhuy

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    7 Sources, 26d ago, first seen 26d ago

    TLDR

    Shuran Song who serves as Assistant Professor at Stanford and leads the REAL robotics lab posted a message on the platform. She wrote that others should use their Transformer to design the next Transformer and included a robot emoji. Song advised readers unfamiliar with the reference to consult the post by @haqhuy titled Transformer Transformer. The statement stands as one visible contribution to ongoing platform conversations about AI architecture techniques. The supplied evidence shows only the content of this post with no details on replies or subsequent developments.

    Combined views

    121K

    7 Sources, first seen 26d ago

    Combined views

    121K

    7 Sources, first seen 26d ago

    847 likes
    847 likes
    18 comments
    566 saves
    107 reposts

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    18 comments
    566 saves
    107 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    7 Sources

    @haqhuyTransformer Transformer will be presented at #CoRL2026 🚀 See y'all in Austin! Website: https://transformer-transformer.github.io Video: https://www.youtube.com/watch?v=TTyjvPVFbNw Paper: https://transformer-transformer.github.io/static/paper.pdf
    @SongShuranUse your Transformer to design the next Transformer 🤖 If you don't understand what I'm talking about, look up “Transformer Transformer” from @haqhuy 😉👇
    @ShuangL13799063RT @haqhuy: Transformer Transformer will be presented at #CoRL2026 🚀 See y'all in Austin! Website: https://transformer-transformer.github.io Video: https://…
    @ChongZzZhangrare ground-breaking research
    @pabbeel@SongShuran if you run for a single robot on enough tasks, does it recover humanoid? (this particular example seems a pretty convincing stochastic gradient step in that direction)

    7 Sources

    @haqhuyTransformer Transformer will be presented at #CoRL2026 🚀 See y'all in Austin! Website: https://transformer-transformer.github.io Video: https://www.youtube.com/watch?v=TTyjvPVFbNw Paper: https://transformer-transformer.github.io/static/paper.pdf
    @SongShuranUse your Transformer to design the next Transformer 🤖 If you don't understand what I'm talking about, look up “Transformer Transformer” from @haqhuy 😉👇
    @ShuangL13799063RT @haqhuy: Transformer Transformer will be presented at #CoRL2026 🚀 See y'all in Austin! Website: https://transformer-transformer.github.io Video: https://…
    @ChongZzZhangrare ground-breaking research
    @pabbeel@SongShuran if you run for a single robot on enough tasks, does it recover humanoid? (this particular example seems a pretty convincing stochastic gradient step in that direction)