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Modern machine learning is an exciting new development in particle physics. A leading application of such methods is in subjet physics, specifically jet tagging. I will discuss what kind of new ideas have been developed in recent years, where they have the potential to fundamentally change LHC analyses, and how we approach LHC-specific tasks like error bars. Why I work on this as a particle theorist will, aside from personal excitement, remain unclear.