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@@ -22,6 +22,8 @@ Through discussions with researchers at Safe Superintelligence (SSI) Club, Unive
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> We believe that **masking** is a fundamental abstraction for building such controllable, efficient, and generalizable intelligence.
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To pursue this vision, we introduced [**Muddit** and **Muddit Plus**](https://github.com/M-E-AGI-Lab/Muddit), unified generative models built upon visual priors (Meissonic), and capable of unified generation across text and image within a single architecture and paradigm.
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We look forward to releasing more models and algorithms in this direction.
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> We believe that **masking** is a fundamental abstraction for building such controllable, efficient, and generalizable intelligence.
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A similar vision was shared by [**Stefano Ermon**](https://cs.stanford.edu/~ermon/) at ICLR 2025, where he described *Diffusion as a unified paradigm for a multi-modal world model* — a message that echoes and strengthens our belief: that unified generative modeling is the path toward general-purpose superintelligence.
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To pursue this vision, we introduced [**Muddit** and **Muddit Plus**](https://github.com/M-E-AGI-Lab/Muddit), unified generative models built upon visual priors (Meissonic), and capable of unified generation across text and image within a single architecture and paradigm.
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We look forward to releasing more models and algorithms in this direction.
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