据介绍，MetaNovas自研了分子语言生成大模型，作为底层生成引擎，能够跨模态表证多肽、聚合物、小分子等，“覆盖超过10^60的化学空间，分子生成有效率超95%”。同时，针对材料落地必须考量的理化性质（如热稳定性、气味、紫外吸光度等），其开发了性能预测模型，为分子筛选提供依据。
Closing ThoughtsI’m proud of Tess and what we built. We genuinely attempted to move the industry toward a more equitable AI licensing model where human creators get a cut of the value that they generate, and where brand/publishers have an easier time defining the output they want. If Tess had succeeded, it would have created a more beautiful world with more accessible art for all.
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Nextvi builds upon many standard features from vi(1) including
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