Those annoying video annotations on YouTube will finally be removed by default starting early 2019, Google has announced.
Those annoying video annotations on YouTube will finally be removed by default starting early 2019, Google has announced.
YouTube had removed Annotations Editor already in 2017, along with the ability to create new annotations or edit existing ones. Starting January 15, 2019, the remaining annotations will also be removed.
Uploaders can instead use tools like cards and end screens to supplement links to related videos. The end screens are already available in YouTube Studio beta and the cards will soon be launched.
In addition to that, YouTube also announced that it will no longer allow uploading new shows playlists or movies, or edit existing ones in Creator Studio. Video credits that allow you to list out channels that appear below the video's description will also be removed. You will no longer be able to create these types of video credits. You can instead include a collaborator's channel URL in the description of your video.
Alphabet Inc's Google in May introduced a slick feature for Gmail that automatically completes sentences for users as they type. Tap out "I love" and Gmail might propose "you" or "it."
But users are out of luck if the object of their affection is "him" or "her."
Google's technology will not suggest gender-based pronouns because the risk is too high that its "Smart Compose" technology might predict someone's sex or gender identity incorrectly and offend users, product leaders revealed to Reuters in interview.
Gmail product manager Paul Lambert said a company research scientist discovered the problem in January when he typed "I am meeting an investor next week," and Smart Compose suggested a possible follow-up question: "Do you want to meet him?" instead of "her."
Consumers have become accustomed to embarrassing gaffes from autocorrect on smartphones. But Google refused to take chances at a time when gender issues are reshaping politics and society, and critics are scrutinizing potential biases in artificial intelligence like never before.
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