I thought the previous model was rather good actually. It is this new one that I am suddenly seeing a lot more “totally wrong” suggestions with. Has anyone else experienced this? It feels like it is trying to be too specific and giving a wide range of low confidence species with some noticeable outliers (e.g. I had a fish suggested for a butterfly!), rather than giving a higher confidence suggestion just to say a genus or tribe level. Or if you like, there is a distinction between an algorithm designed to supplant humans, and one designed to support them. I would hope it is more the latter that is being aimed for. Maybe the current approach is becoming over-constrained as more species are added. I wonder if there is an adjustment to weightings that can help smooth things out a little, e.g. by adding more significant negative weightings to results relative to how far away from the correct answer they are on the taxonomic tree, and how far up the suggestions list they are appearing.