Context Rot: How Increasing Input Tokens Impacts LLM Performance
Published July 14, 2025
At a glance
Views
189,336
Likes
8,853
Comments
491
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Large language models have transformed the way we build software systems. In our latest research report, Kelly Hong shares her findings on what we’re calling Context Rot, how large language model performance degrades with more and more input tokens. View the full report on our research site: https://research.trychroma…
- Published
- July 14, 2025
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Context Rot: How Increasing Input Tokens Impacts LLM Performance is doing
It has 189K views in total. It ranks #10,015,604 among tracked YouTube videos by views.
Key facts about Context Rot: How Increasing Input Tokens Impacts LLM Performance
- Total views
- 189K
- Total likes
- 8.85K
- Total comments
- 491
- Published
- July 14, 2025
- Global rank by views
- #10,015,604
Frequently asked questions
How many views does Context Rot: How Increasing Input Tokens Impacts LLM Performance have?
Context Rot: How Increasing Input Tokens Impacts LLM Performance has 189,336 views, 8,853 likes and 491 comments, ranking #10,015,604 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.