Chapter
The Future of Monetizing through Ads
1:03:50 - 1:10:14 (06:23)
The podcast discusses the technical and revenue implications of ads on the internet and whether a mix of ad-supported and revenue-based models can be achieved, while also addressing the issue of annoying ads that pop up during browsing.
Clips
The speaker discusses the technical and social aspects of search ads, highlighting how effectively connecting people with what they are looking for can be positive, but also acknowledging the potential for annoying Pop-up ads.
1:03:50 - 1:06:46 (02:55)
Summary
The speaker discusses the technical and social aspects of search ads, highlighting how effectively connecting people with what they are looking for can be positive, but also acknowledging the potential for annoying Pop-up ads. She notes that there is a minimum quality level that needs to be met before search ads are displayed.
ChapterThe Future of Monetizing through Ads
EpisodeRajat Monga: TensorFlow
PodcastLex Fridman Podcast
The internet has seen a shift towards more paid services over the years, as people are willing to pay for quality content and see the value in it.
1:06:47 - 1:08:27 (01:39)
Summary
The internet has seen a shift towards more paid services over the years, as people are willing to pay for quality content and see the value in it.
ChapterThe Future of Monetizing through Ads
EpisodeRajat Monga: TensorFlow
PodcastLex Fridman Podcast
The future of TensorFlow can be a mix model that includes free trials with ads and a clear revenue model that empowers many students to use it for their homework.
1:08:27 - 1:10:14 (01:46)
Summary
The future of TensorFlow can be a mix model that includes free trials with ads and a clear revenue model that empowers many students to use it for their homework. TensorFlow is open source and can be run on various desktops, including smartphones, making it accessible to many people.