Elorian Releases Visual Reasoning Model Glimpse
Elorian has released its first visual reasoning model, Glimpse, which is used to compare scene changes at different points in a video and to review the original clip when changes are subtle or rapid. Elorian calls this frame-based reasoning visual thinking. During reasoning, Glimpse can return to the source video, crop regions, extract specified frames, or run code to measure and compare what it sees; this mechanism is called visual scratch space. Co-founder Andrew M. Dai says it achieves frontier performance competitive with Astra on key public visual reasoning benchmarks.
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Glimpse breaks video understanding into a reasoning process that can be reviewed, cropped, and run as code, allowing readers to judge how the interaction paradigm of video reasoning models is changing.
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View original postSpent years watching models ace a single image and completely whiff on anything that moves or changes angle. Today we’re fixing that. Try Glimpse now, our first visual thinking model with competitive frontier performance compared to Astra on key public visual reasoning benchmarks.
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Spent years watching models ace a single image and completely whiff on anything that moves or changes angle. Today we’re fixing that. Try Glimpse now, our first visual thinking model with competitive frontier performance compared to Astra on key public visual reasoning benchmarks.
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Understanding a video means comparing moments, and models are getting much better at it.
Glimpse from @ElorianAI checks how a scene changes from one point in time to another, and goes back for a closer look when the change is small or fast.
Elorian calls this visual thinking: reasoning over what the model observes, grounded in the frames.
Glimpse can return to the source during reasoning, crop into an area, extract specific video frames or run code to measure or compare what it sees, a mechanism Elorian calls a “visual scratch space.”