Everything is the most important thing ever. AI inflates the stakes of every argument to world-historical significance. A blog post about API pricing becomes a meditation on the fate of civilization.
Several open-source multimodal language models have adapted their methodologies accordingly, e.g., Gemma3 (opens in new tab) uses pan-and-scan and NVILA (opens in new tab) uses Dynamic S2. However, their trade-offs are difficult to understand across different datasets and hyperparameters. To this end, we conducted an ablation study of several techniques. We trained a smaller 5 billion parameter Phi-4 based proxy model on a dataset of 10 million image-text pairs, primarily composed of computer-use and GUI grounding data. We compared with Dynamic S2, which resizes images to a rectangular resolution that minimizes distortion while admitting a tiling by 384×384 squares; Multi-crop, which splits the image into potentially overlapping 384×384 squares and concatenates their encoded features on the token dimension; Multi-crop with S2, which broadens the receptive field by cropping into 1536×1536 squares before applying S2; and Dynamic resolution using the Naflex variant of SigLIP-2, a natively dynamic-resolution encoder with adjustable patch counts.
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The V3 approach obliterates this race condition by hooking addSourceBuffer at the MediaSource.prototype level, I intercept the creation of every SourceBuffer. The moment a buffer is created and returned, I immediately install a hooked appendBuffer directly on that specific instance; before any page code can even see the instance, let alone cache a reference to its methods. The hooked appendBuffer is installed as an own property of the instance, which takes precedence over the prototype chain. There is no window for fermaw to cache the original. The hook is always first.
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jnp.isfinite(new_max)[:, None],
Дополнительный анализ данных биобанков показал, что часть выявленных состояний связана с генетическим риском болезни Альцгеймера. При этом авторы подчеркивают, что обнаруженные связи не доказывают прямую причинно-следственную зависимость. По их мнению, раннее выявление и контроль таких состояний могут стать важным направлением профилактики и снижения риска деменции.，更多细节参见超级权重