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Cake day: June 13th, 2023

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  • As Mary Anne Franks, a George Washington University law professor and a leading advocate for strict anti-deepfake rules, told WIRED in an email, “The obvious flaw in the ‘We already have laws to deal with this’ argument is that if this were true, we wouldn’t be witnessing an explosion of this abuse with no corresponding increase in the filing of criminal charges.”

    We’re certainly witnessing an explosion of media coverage of abusive deepfakes, as with coverage of everything else AI-related. But if there’s no increase in criminal cases, what’s the evidence that the “explosion” is more than that?


  • The first time I encounter an unfamiliar subject, I start by trying to identify the different current leading theories and their main points of contention. Then my impulse to evaluate the competing claims for myself motivates my further research, and keeps me critically engaged with the evidence. It’s like I’m building different conceptual models in parallel, and seeing how each new piece fits differently in each one.

    I find that can often be better than lectures where the professor is advocating for their own specific theory, or introductory courses where textbooks stick to consensus opinions and avoid open questions. In those cases you’re just passively assembling the model you’re provided—but I find it’s ultimately more enlightening if you try to break things while you’re building them.