Excited to share my first PhD paper, “Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift” (accepted to #NeurIPS2026)! We frame AI detection as a continual learning problem, robustifying models to shifting human/AI writing. (1/N)

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We selected this recent article for our Journal Club on Civic Participation. It will be interesting to hear my colleagues' perspectives. Also, because of how science publishing works, the article is dated: it was written when ATProto meant microblogging and everything else was "third-party".

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First report from my sabbatical year, during which I am traveling to 6-7 universities around the globe to teach a three-day course on AI & Society. Where better to start than Bhutan, the remote Buddhist kingdom in the Himalayas? I wrote it up here (part 1). www.linkedin.com/pulse/ai-rin...

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arXiv paper -> arxiv.org/abs/2605.13986

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Mercury 3: dLLMs have arrived, finally Same price as Luna-6, slightly better, but 8x faster text diffusion is here www.inceptionlabs.ai/blog/introdu...

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