Most multimodal AI systems today are still collections of separate tools pretending to be one product. One model generates images. Another edits them. A different one handles video. The entire stack works, but it often feels stitched together behind the scenes. ByteDance just used a different approach. The company just released Lance, a new open multimodal model that tries to handle image generation, video generation, editing, and visual reasoning inside one native framework. The surprising part is not just the scope. It is the size. Lance runs with only 3 billion active parameters while still posting competitive numbers across image, video, and editing benchmarks. The industry has spent the last two years building specialized AI systems for every separate media task imaginable. Lance is part of a growing push in the opposite direction: fewer models, more unified behavior, and systems that can move between understanding and generation.
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