20:12 I know that there are some other labeling tools out there. I'm curious what you saw as being some of the lacking features or capabilities in the available market that necessitated building out prodigy as an alternative to them.
47:25 aspects of your work at explosion or the spacey and prodigy and think tools that we didn't discuss yet or anything else in the space of natural language processing and deep learning that we didn't discuss the like to cover before we close out the show?
46:33 So one of the things that we've been working on for a long time, and we excited to finally get out be an extension to prodigy called prodigy teams, which has more of a sort of team management interface and, you know, has a hosted component where you can allocate work to individual annotators start and stop annotation tasks and things. So that's something that we've been working hard on, because it has this part of it's a more managed architecture, and there's a more intricate web app behind It's taken us a little longer to develop, it's been going well, and we're really excited to get that out to people. And yeah, that's, you know, basically the main thing that we've got in the pipeline as well, as well as having getting spacey three out which will make it much easier to use transformer models and really allow you to bring, bring your own model and, you know, basically make it easier to interact with those technologies to spacey, are there any