MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
Published February 8, 2018
At a glance
Views
214,001
Likes
4,072
Comments
207
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
This is a talk by Josh Tenenbaum for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world. INFO: Course website: https://agi.mit.edu Contact: [email protected]…
- Published
- February 8, 2018
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum) is doing
It has 214K views in total. It ranks #9,782,873 among tracked YouTube videos by views.
Key facts about MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
- Total views
- 214K
- Total likes
- 4.07K
- Total comments
- 207
- Published
- February 8, 2018
- Global rank by views
- #9,782,873
Frequently asked questions
How many views does MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum) have?
MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum) has 214,001 views, 4,072 likes and 207 comments, ranking #9,782,873 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.