陆逸轩：我知道你指的是谁，但我不想点名。关于社交媒体上的争议，往往声音越大的人，对事实了解得越少。比赛结束后，有不少钢琴家给我写信，那些真正了解这个行业的人、在现场的朋友、我的家人，其实都不会在网上发言。反而是那些并不身处这个音乐世界、只是坐在家里旁观的人说得最多。关于取消比赛，某种程度上，我也理解这种观点，我自己也非常不喜欢音乐比赛，因为它本身是非常不自然的。比赛结果并不是一个客观事实，它并不意味着我演奏得“更好”。如果把同样的几位选手放进不同的比赛，由不同的评委来评判，很可能会出现完全不同的排名。我并不想参加比赛，我也希望自己可以在不参加比赛的情况下建立起职业生涯。
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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.
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