> "One of the scary parts of open-source AI is how intensely easy it is to use," he says. "The barrier is so low… that almost anyone who has a programming backg

> "One of the scary parts of open-source AI is how intensely easy it is to use," he says. "The barrier is so low… that almost anyone who has a programming background can figure out how to do it, even if they don't understand, really, what they're doing." I don't see whats so scary about that, to be honest. Some random person who is messing with ML and doesn't know what they're doing probably isn't in a position to use this in a way that would be harmful to people. The example of discrimination given in the article would only really apply to corporations and government, who would likely use proprietary datasets (and perhaps implementations.) So I don't understand why this piece takes aim at open source. Seems almost contradictory.