We found systematic issues in the analysis of the PXRD patterns, which show that, in this case, AI has failed to correctly derive conclusions from the data. One common error we found might also point to a general issue with the material prediction part of the work, namely, they can often be derived from known compounds in which cation order breaks symmetry. As DFT cannot model compositionally disordered atoms easily, there might be an underlying error in the way those materials are predicted, both in the Google AI paper and the Materials Project. Still, more work might be needed to verify this concern. Researchers using this data should keep this in mind, and this point is expanded upon below.