One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
Legislation was brought in earlier in February which made non-consensual deepfake images illegal in the UK.。关于这个话题，heLLoword翻译官方下载提供了深入分析
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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?