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／ #BTSデビュー10周年# 記念ソング『Take Two』 LINE MUSIC 再生キャンペーン実施決定！🎉 ＼ 613回以上聴いて応募された方には、もれなく「待ち受け画像」を、さらに抽選で30名様には「スペシャルフォトカード」をプレゼントいたします。 詳しくはこちら→ #TakeTwo# #2023BTSFESTA# #BTS10thAnniversary#

GTA 发行商 Take-Two CEO ：AI 打造不出爆款 GTA 发行商 Take-Two CEO Strauss Zelnick 在播客中表示，AI 本质上是数据集、算力和大语言模型的组合。数据集回看过去，而创造力面向未来，两者方向相反。 他认为完全由数据驱动的东西不可能真正出人意料，因此 AI 能高效生成素材，但打造不出《GTA》这样的爆款。 Zelnick 同时表示自己对 AI 创造力持开放态度。

Ok, this thread has apparently been a magnet for hordes drooling morons who not only don't get stats, but can't even read. If you're a normally intelligent reader of this tweet, here's an extra example of my point: If you take two RANDOM, INDEPENDENT timeseries (i.e. knowing one gives you NO information about the other) that are each highly temporally autocorrelated (e.g. two random walks), and you plot one against the other as a scatter plot, what you get is a single X/Y trajectory that will ALWAYS look very structured. Yet it is random. Like the figure below. Code to reproduce the figure and play around with this idea: Of course if the two series happen to be correlated, then you will ALSO see something very structured. It's just that this type of visualization is a completely retarded way to look at such data. If you think this is deep, you are innumerate.