By AI I mean Machine Learning! Some of the discussion around Larry’s post and my response has been about data sets. Norm Hollyn noted in the comments that there were non-training options “under NDA”. Here’s a good discussion on the types of training data, or lack of need, from TechCrunch.
As we don’t have children our post dinner discussions range across all sorts of topics: from design details for a current project, to discussions about industry issues, such as collaboration. My thinking is evolving somewhat, because of the discussion with Greg, which built on a conversation he had with filmmaker Bradley Olsen.
One conclusion is that, if/when Apple add collaboration to Final Cut Pro X, there will be serious hate! Again!
Continue reading Evolving Thinking on FCP X Collaboration
Larry Jordan got on his (self described) soap box this morning with a thoughtful post about the future of editing in an AI infested world. I think we should all be aware of what’s happening, and I’ve certainly been trying to do my part there, as recent posts attest, but I’m not sure I’m quite as concerned about editing jobs as Larry is. Assistants perhaps.
Larry shared his post with me, asking for feedback, and having written a fairly comprehensive response, I decided to share it here as well. While I mostly address the areas where AI/Machine Learning might be used, and why pervasive automated editing is probably way further in the future than Larry’s concern would indicate, none of that negates Larry’s excellent advice on managing your career.
Continue reading Thought’s about Larry Jordan’s “Worries on the future of Editing”
The report isn’t clear on exactly how Watson’s “AI” is being used but the article says that they are “now curating the biggest sights and sounds from matches to create “Cognitive Highlights,” which will be seen on Wimbledon’s digital channels.”
Apparently using Watson cognitive services to recognize a significant moment, and pull it together with cheers and social media comments to make a 2 minute video.
The AI platform will literally take key points from the tennis matches (like a player serving an ace at 100 mph), fans’ cheers and social media content to help create up to two-minute videos. The two-week tourney at the All England Lawn Tennis and Croquet Club, complete with a Google Doodle to celebrate Wimbledon’s 140th anniversary, began Monday.
https://techcrunch.com/2017/07/21/why-the-future-of-deep-learning-depends-on-finding-good-data/