On this episode of Designing in the Browser, we’re going to take a look at dark mode with our host Una Kravets. PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=xococe8wq_g https://www.youtube.com/watch?v=-3Xabm9yewk

In this session, Cory discusses the tools for using cryptography in Swift, and introduces a new Apple open source project for working with cryptography on all platforms, Swift Crypto. PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=OUXC3DLY6QU https://www.youtube.com/watch?v=2dMJBGWODYY

I'm sick of crypto-related spam comments on YouTube, so I trained a machine learning model to delete them! A script runs periodically and uses the text classifier to filter the latest comments on my videos. The filter is surprisingly effective, even though the training dataset is relatively small. I'll keep expanding the dataset and retrain the classifier so it becomes more accurate overtime. 🌍 Social
Twitter: https://twitter.com/Savjee
Facebook: https://facebook.com/Savjee
Blog: https://savjee.be 💌 Newsletter: https://newsletter.savjee.be (Once a month) ❤️ Become a Simply Explained member: https://www.youtube.com/channel/UCnxrdFPXJMeHru_b4Q_vTPQ/join 👩‍💻 Source code:
Available on GitHub:
https://github.com/Savjee/yt-spam-classifier ❓❓ Frequently asked question:
❓ Why do I still see spam comments on your channel?
First, not all comments are caught by the AI and still require manual intervention. Secondly, the script runs on a fixed interval. Give it some time to run. And thirdly, it only filters recent comments. I will let the classifier clean up the old comments as well. https://www.youtube.com/watch?v=zSEYC3CCA1I