#predictive models

21 stories · 0 in 7 days · 1 in 30 days
Stories, products and papers tagged "predictive models", newest first.
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ModelsBuildersSelected73°00:30
Meta presents RoboJEPA, scaling JEPA predictors to 8B parameters

Scaling laws for robot foundation models are far less mapped than for language models, and this 370x parameter sweep across 12 embodiments offers rare empirical evidence on that front. Using latent prediction error as a proxy for planning ability could reduce costly real-world evaluation for robotics teams. Researchers building embodied or cross-embodiment models will find the scaling trends directly comparable to their own setups.

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Aran Komatsuzaki (论文推介)@arankomatsuzakiSource
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Chinese content牛津研究团队发表论文称大模型无法真正“发明”新事物

牛津研究团队发表新论文,通过数学论证指出,大模型(LLMs)无法真正“发明”新事物,因为它们本质上是预测下一个词的模型,无法相信现有数据中错误的信息。作者认为,人类能够基于现有数据提出新理论,而大模型则只能反映过去。作者每天使用这些模型,发现新突破通常来自人类判断现有数据错误并做出新理论。

Gary Marcus@GaryMarcusSource
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