Top 100 AI · United States
Arvind Narayanan
Princeton 
- Score
- 6,829−14 today
- Rank
- 91/198 ↑10
- over 90 days
- +701+10.7%
Arvind Narayanan is a Computer Science Professor at Princeton and Director of the Center for Information Technology Policy. He co-authored books on AI critique and publishes on AI ethics, technology policy, and misinformation. His work focuses on the societal impact of technology and advocating for responsible AI development.
Data as of Oct 25, 2026.
The raw numbers · last 90 days
- Median views
- 23.3K
- per post
- Median engagements
- 176
- per post
- Posts
- 57
- over 90 days
- Followers
- 132.7K
- 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%54
Average reactions per post
- Audience · 30%76
Total followers, relative to population
- Consistency · 10%100
Posting frequency (25 posts / 90 days = 100)
Platforms
132.7K total followers
| Platform | Followers | Score |
|---|---|---|
| X@random_walker | 132.7K | 9,510t1 |
Last 30 days
Narayanan's top posts
X · 28 days ago#1ANArvind NarayananNeurIPS / Claude rejected our paper "Life After Benchmark Saturation" but we continue to think it is an important contribution to evaluation science, so we hope you check it out here! https://t.co/Y956Ycnv4F https://t…
102.7K views722 engagements
- X · 12 days ago#2
I'm told I've been appointed to an endowed professorship, the Bertram and Carole Siegel Professor of Computer Science. I've long thought my work is more legible outside the academy than inside it, so I'm delighted and…
ANArvind Narayanan25.3K views611 engagements
X · 13 days ago#3ANArvind NarayananHere are 14 points about AI safety I made on the Ezra Klein show, and some impressions about the experience. https://t.co/K8DFRuMojJ 1. Intelligence isn’t power — An A.I. system being powerful is not a property of t…
56.9K views500 engagements
- X · 26 days ago#4
Because so much of the debate about AI and jobs is driven by fears of outright replacement, there's a much more likely way in which AI could make work worse that isn't getting much attention. Here's my case: 1) A grow…
ANArvind Narayanan43K views387 engagements
X · 29 days ago#5ANArvind NarayananI know these charts don't mean much because they are benchmaxxed six ways to Sunday, but I can't help point out that this is not how Pareto frontiers work! Ember and GLM are *not* on the frontier because you can use a…
26.8K views292 engagements
- X · 11 days ago#6
There is widespread frustration about the AI industry’s “automate everything" agenda. But what would it take to steer AI toward augmenting human capabilities instead? In a new essay, Gabriel Unger (@_gabrielunger) and…
ANArvind Narayanan25.5K views262 engagements
Head-to-head
