@rohanpaul_ai: Beautiful, from single-shot recognition to persistent visual memory

@rohanpaul_ai: A massive idea from this Shanghai University paper Giving AI Models Human-Style Memory Imagine reading a huge mystery b…

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This paper introduces HOLA, a method that gives fast AI models (like linear-attention and state-space models) an additional memory cache to store surprising facts, improving their recall in long-context tasks without sacrificing speed.

@rohanpaul_ai: Arcads' Actors+ is a good example of why AI video quality is becoming a perceptual problem now. You can keep improving …

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Arcads' Actors+ is an AI actor library that makes AI-generated videos nearly indistinguishable from real user content, highlighting the perceptual challenge in advancing AI video quality.

@rohanpaul_ai: Brilliant. This feels like one of those cases where the math idea finally arrived at the right timing, because AI infer…

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The tweet praises a mathematical idea timed well for AI inference's arithmetic profile and expresses interest in seeing results on reasoning models during long generation runs.

@RemiCadene: AI developed at @UMA_Robots Single neural network, End to End It operates robustly for hours, with precision, adapting …

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Researchers at UMA_Robots developed a single end-to-end neural network that operates robustly for hours with precision and adaptation to visual input.

@rohanpaul_ai: AI should not just get bigger. It should also be more precise and easier to manage. What I see in the 360 AI Research I…

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360 AI Research Institute's MoSA (Motion-Grounded Segment Anything), accepted at ECCV 2026, trains the Segment Anything Model to segment objects using motion cues from unlabeled video, generating millions of pseudo-labels without manual annotation.