Vakili and I spent some time in the morning discussing the next steps in his work on PSF interpolation. He can show that his method is better than any polynomial interpolation, and it also provides a probabilistic PSF—that is, it returns a probability distribution function over PSFs. We debated whether to write a paper using this on LSST simulation data, which is fake data (bad) but where we know the truth so we can assess accuracy (good), or else using this on SDSS data, which is real data (good) but where we have no extrinsic handle on truth (bad). His assignment is to figure out just how mature LSST simulation outputs are in the relevant regards. We also discussed applying for the NSF WPS call (PDF).