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In the same vein, the Symposium on Theory of Computing (STOC) for 2027 has made some interesting changes to its Call For Papers (https://acm-stoc.org/stoc2027/stoc2027-cfp.html), notably requiring that papers be submitted beforehand to a preprint repository and that authors submit a 20-30 minutes video presentation explaining their results.

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STOC is the premier outlet of theoretical computer science results, so let's hope others follow: FOCS, SODA,...

What keeps someone from generating this video with AI?

AI has not yet reached the point where it can convincingly generate long presentations with the precision required for complex, technical academic topics. It will eventually get there, at which point an additional layer of proof of work will need to be introduced. This is an adversarial race.

I think this is an interesting and effective solution, at least for now. Similarly, graduate and master's theses should focus more on the presentation and on eliciting knowledge from the students through critical, thorough questioning than on the tangible outcome of the project, which can easily and bindly be obtained with AI these days.

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