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NeoMME: an efficient Multimodal-native and Multilingual Encoder
TL;DR We introduce NeoMME , a family of 260M and 800M multilingual multimodal encoders. Unlike many generative visual language models, NeoMME does not use a separate pretrained vision tower or a causal language model. A single bidirectional Transformer processes both text tokens and raw image patches, and we train the…
Hugging Face
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Chris Lehane argues that stronger AI capabilities require stronger safety evidence, shared standards, and durable policy action while the policy window remains open.
OpenAIPublished Sep 9, 2026
Official source · OpenAI NewsVerified Sep 16, 2026