程序员的明天:AI 时代下的行业观察与个人思考

· · 来源:tutorial资讯

问题是,当 AI 接手这些基础执行工作,短期内利润率确实好看,但代价是新人少了练手的机会,等到五到十年后,市场极度缺乏能够审查 AI 复杂输出、承担最终决策责任的高级人才时,这个代价就会以一种所有人都措手不及的方式显现出来。

// Pipe a fast source through the transform to a slow sink

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英國南極考察局旗下的各研究站負責監測不同的野生動物與環境議題。「哈利六號」專注於太空與大氣資料,同時研究其所在的布倫特冰架(Brunt Ice Shelf ),以及地球臭氧層空洞。

The most obvious solution here was to rewrite each of these backend C# systems as Unreal C++ code. This would be an incredibly risky undertaking. There were hundreds of backend APIs that needed to be converted like this. Furthermore, each of these APIs relied on complex interlocking logic systems powered by the aforementioned custom conditional language. The C++ code would also need to be able to parse and understand this language to support all the existing content. Without our established C# test suite, it would be extremely tricky to pin down functionality and make sure every edge case was accounted for. Was this even possible in just 6 months?,详情可参考safew官方版本下载

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周先生 [email protected] 02165977093