The Hard Problem of Controlling Powerful AI Systems - Computerphile
Published December 4, 2025
At a glance
Views
62,863
Likes
2,170
Comments
333
Performance vs. channel
All-time outlier score
Engagement rate
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We're working on new analytics and tools. Stay tuned.
About
As AI systems become more capable, rule-based safeguards, hard-coded restrictions, and simple alignment strategies start to break down. Buck Shlegeris talks about some tactics we might use as detailed in a recent paper. The referenced paper: https://arxiv.org/abs/2504.10374 Computerphile is supported by Jane Street…
- Published
- December 4, 2025
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How The Hard Problem of Controlling Powerful AI Systems - Computerphile is doing
It has 62.8K views in total. It ranks #13,195,895 among tracked YouTube videos by views.
Key facts about The Hard Problem of Controlling Powerful AI Systems - Computerphile
- Total views
- 62.8K
- Total likes
- 2.17K
- Total comments
- 333
- Published
- December 4, 2025
- Global rank by views
- #13,195,895
Frequently asked questions
How many views does The Hard Problem of Controlling Powerful AI Systems - Computerphile have?
The Hard Problem of Controlling Powerful AI Systems - Computerphile has 62,863 views, 2,170 likes and 333 comments, ranking #13,195,895 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.
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