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LALMs struggle to keep track of sparse events across hours of audio, unlike humans who excel at this, revealing a key memory persistence bottleneck.
Forget prompt engineering: MOSS lets autonomous agents rewrite their own source code to fix bugs and improve performance in production.
Decoupling the "Thinker" from the "Editor" in image editing allows targeted optimization of reasoning, leading to performance competitive with strong proprietary models using a fixed generative model.
Achieve near-dense Video-LLM performance on long videos with up to 57% fewer FLOPs by adaptively selecting which video cubes and tokens to process.
