We wanted a scenario where, say, 5 well-placed border points could efficiently represent an area with 5,000 internal points and 10,000 road edges. This would reduce those 10,000 edges to just 5*4/2 = 10 shortcuts for routing through that cluster at a high level – an incredible 1:1000 point ratio and a 30x reduction in edges to consider for the high-level path!
Other users have objected to this wave of AI slop videos as an unfair racial stereotype of their neighbourhood. One black TikTok user from Croydon called C.Tino posted a response, saying the trend falsely portrayed the area as "ghetto".
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但在派拉蒙随后发起的多次竞价干预下，其最终以每股 31 美元、总价近 1110 亿美元的筹码成功破局。
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I'm publishing this to start a conversation. What did I get right? What did I miss? Are there use cases that don't fit this model? What would a migration path for this approach look like? The goal is to gather feedback from developers who've felt the pain of Web streams and have opinions about what a better API should look like.