1:30:20Long-form

Alignment faking in large language models

United StatesPublished December 18, 2024

Views 69.1K  |  Likes 1.88K  |  Comments 385
Views#12,311,249Global
Views#2,386,449United States

Channel

AnthropicAnthropic
823K subs•178 videos•Jun 2023

At a glance

Views

69,160

Likes

1,882

Comments

385

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

Details →

Total (all-time): $48 – $138

Based on estimated $0.7–$2 CPM.

About

Most of us have encountered situations where someone appears to share our views or values, but is in fact only pretending to do so—a behavior that we might call “alignment faking”. Could AI models also display alignment faking? Ryan Greenblatt, Monte MacDiarmid, Benjamin Wright and Evan Hubinger discuss a new paper…

Published
December 18, 2024
Made for kids
No

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How Alignment faking in large language models is doing

It has 69.1K views in total. It ranks #12,311,249 among tracked YouTube videos by views.

Key facts about Alignment faking in large language models

Total views
69.1K
Total likes
1.88K
Total comments
385
Published
December 18, 2024
Global rank by views
#12,311,249

Frequently asked questions

How many views does Alignment faking in large language models have?

Alignment faking in large language models has 69,160 views, 1,882 likes and 385 comments, ranking #12,311,249 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?

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