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「人們只要追蹤環境中的統計資訊,就能學得非常、非常快,」雷布夏特說。「這類任務旨在模擬真實世界中的沉浸式學習情境,那裡的一切往往含糊不清,而且我們很少能立即得到回饋。」
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The converse is also worth asking — whether simulating artificial environments (for instance a 3d representation of a Youtube video) might have unintended negative consequences. Fei-Fei Li’s startup World Labs, which aims to make the leading “world model” — an alternative to language models based on tokenizing physical space rather than words — recently raised a substantial amount of money. As consumer-facing robots become more plausible, the business case for such a model is obvious. But what physical spaces are “world” models actually being trained on? The contemporary physical environment, sound-proofed, plastic-coated, and artificially-colored, is radically different from the environment that Homo sapiens evolved to excel in.
Фото: Пати Амирбекова / «Лента.ру»