Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert
Published October 14, 2026
At a glance
Views
64,012
Likes
0
Comments
59
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
a16z Partner Lisha Li sits down with AI researcher and Trillium founder Nathan Lambert to ask how durable the gap really is between frontier AI labs and open models. Nathan argues that OpenAI and Anthropic have structural advantages in compute, capital, and the ability to pioneer new training paradigms, but open-model…
- Published
- October 14, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert is doing
It has 64.0K views in total. It ranks #13,413,078 among tracked YouTube videos by views.
Key facts about Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert
- Total views
- 64.0K
- Total likes
- 0
- Total comments
- 59
- Published
- October 14, 2026
- Global rank by views
- #13,413,078
Frequently asked questions
How many views does Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert have?
Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert has 64,012 views and 59 comments, ranking #13,413,078 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.