The scaling problem with AI coding is that humans can only review so much.
There is a clear analogy to tobacco litigation. In the 1990s, plaintiffs succeeded against tobacco companies by proving they had concealed evidence about the addictive and deadly nature of their products. In K.G.M., the plaintiffs here are making the same core argument: Where there is corporate knowledge, deliberate targeting and public denial, liability follows.
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