Top 100 AI · United States
Sasha Rush
Cornell 
- Score
- 6,8600 today
- Rank
- 89/198 ↓14
- over 90 days
- +48+0.7%
Sasha Rush is a professor and ML researcher known for technical talks and courses on LLMs and Deep Learning. They publish educational content on AI, reinforcement learning, and model performance, often sharing insights from their research at Cornell and Cursor. Their work focuses on scaling LLMs, AI model evaluation, and technical explanations of complex ML concepts, with occasional humorous or personal updates.
Data as of Oct 25, 2026.
The raw numbers · last 90 days
- Median views
- 22.3K
- per post
- Median engagements
- 229
- per post
- Posts
- 25
- over 90 days
- Followers
- 108.5K
- all scored platforms
What drives the score
Percentiles 0–100 against all tracked creators.
- Reach · 30%79
Average views per post over 90 days
- Engagement · 30%59
Average reactions per post
- Audience · 30%72
Total followers, relative to population
- Consistency · 10%100
Posting frequency (25 posts / 90 days = 100)
Platforms
108.5K total followers
| Platform | Followers | Score |
|---|---|---|
| YouTube@Sasha Rush | 14.2K | 932t10 |
| X@srush_nlp | 86.3K | 9,375t1 |
| LinkedIn@sasha-rush-a69b6917 | 8.1K | 1,701t10 |
Last 30 days
Rush's top posts
- X · 7 days ago#1
Late to the party, but this blog post is excellent. Arguably the way people should first learn neural networks.
SRSasha Rush83.4K views1.2K engagements
- X · 11 days ago#2
Interpretability blogs are the recipes blogs of ML. Not sure, why I have to read through the story of your grandmother's first house to find out you used gradients.
SRSasha Rush44.8K views1.1K engagements
X · 13 days ago#3SRSasha Rushpretty interesting document. https://t.co/hqTsE8LXbs
52.1K views702 engagements
X · 25 days ago#4SRSasha RushSampling to Reinforce (https://t.co/hIdUW14DWq) An elementary tutorial on sampling w/o randomness with a focus on gaining intuition for variance reduction as the key challenge. https://t.co/UacCyhqfsH
36.6K views686 engagements
X · 18 days ago#5SRSasha RushProvably Correct Tensor Puzzles (https://t.co/099ugHOGBy) In which we formally verify Python ML code by building a Jax-Lean transpiler. https://t.co/co3x6Yykw4
22K views494 engagements
- X · 19 days ago#6
This is being spun like it is bad, but this is actually the kind of thing that should happen with open-source data communities.
SRSasha Rush21.6K views416 engagements
Head-to-head
