a16z基础设施团队的合伙人Jennifer Li在Big Ideas报告里说了一句让很多人印象深刻的话:企业AI现在最大的瓶颈,不是模型不够聪明,而是自己的数据太乱。她用了一个词——"数据熵"。每家公司都淹没在PDF、截图、邮件、操作日志里,80%的企业知识以非结构化的形式散落在各个角落,从来没有被系统整理过。你买了最好的模型,搭了最贵的系统,但喂进去的是一团乱麻,出来的自然是错误和幻觉。
For Jim Lovell, this was more than a childish lark.
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If the number of candidates for each pixel grows too large (as is common in algorithms such as Knoll and Yliluoma) then sorting the candidate list for every pixel can have a significant impact on performance. A solution is to instead sort the palette in advance and keep a separate tally of weights for every palette colour. The weights can then be accumulated by iterating linearly through the tally of sorted colours.
There is a plan to prevent such a strike—the Space Surveillance Network, a bevy of sensors that the military uses to track space debris. NASA monitors what’s unofficially known as the “pizza box,” a sort of no-fly zone around the ISS. When pieces of debris are predicted to enter the box—if there’s at least a 1 in 100,000 chance of collision—mission controllers order avoidance maneuvers, firing thrusters that move the ISS and dodge the trash. The technique has been used dozens of times since the first ISS module launched in 1998. But the system only tracks about 45,000 larger pieces, and all sensors have noise. Plus, risk thresholds can miss stuff, sometimes badly. In 2025, Chinese astronauts were briefly stranded at their station after debris hit their return vehicle.
2026-02-24 20:00老家县城,已经折叠成了两个平行宇宙罐头辰