Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9
Published December 9, 2018
At a glance
Views
207,278
Likes
3,769
Comments
219
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Stuart Russell is a professor of computer science at UC Berkeley and a co-author of the book that introduced me and millions of other people to AI, called Artificial Intelligence: A Modern Approach. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep9-sb See below for timestamps, and to…
- Published
- December 9, 2018
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9 is doing
It has 207K views in total. It ranks #10,000,543 among tracked YouTube videos by views.
Key facts about Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9
- Total views
- 207K
- Total likes
- 3.76K
- Total comments
- 219
- Published
- December 9, 2018
- Global rank by views
- #10,000,543
Frequently asked questions
How many views does Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9 have?
Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9 has 207,278 views, 3,769 likes and 219 comments, ranking #10,000,543 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.