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@@ -122,7 +122,12 @@ Next, we evaluate **METAGENE-1** on the GUE multi-species classification benchma
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  | **COVID** | 22.2 | 23.3 | 62.2 | **73.0** | 71.9 | 72.5 |
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  | **Global Win %** | 0.0 | 0.0 | 7.1 | 21.4 | 25.0 | **46.4** |
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  ## **Model Details**
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- - **Release Date**: Dec XX 2024
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  - **Model License**: Apache 2.0
 
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  | **COVID** | 22.2 | 23.3 | 62.2 | **73.0** | 71.9 | 72.5 |
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  | **Global Win %** | 0.0 | 0.0 | 7.1 | 21.4 | 25.0 | **46.4** |
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+ ## **Safety Considerations**
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+ - **Potential Risks**: METAGENE-1 is a metagenomic model designed for biosurveillance and anomaly detection, but future larger variants could pose risks if misused for synthetic biology tasks, such as designing pathogenic sequences.
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+ - **Purpose and Capabilities**: Unlike models aimed at long-sequence generation, METAGENE-1 is optimized for detecting anomalies in short metagenomic reads (100-300 base pairs) and is limited by its 512-token context length, minimizing design misuse.
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+ - **Open Source Impact**: We believe open-sourcing METAGENE-1 will positively impact research in pathogen monitoring, but we advocate for stricter safety evaluations before releasing more capable future models.
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  ## **Model Details**
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+ - **Release Date**: Jan 06 2025
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  - **Model License**: Apache 2.0