Top 100 AI · Germany
Jürgen Schmidhuber
KAUST 
- Score
- 8,1070 today
- Rank
- 40/198 ↓3
- over 90 days
- +65+0.8%
Jürgen Schmidhuber is a pioneering AI researcher known for his foundational contributions to deep learning, meta-learning, GANs, and Transformers. His work has significantly influenced modern AI technologies used by major tech companies like Google, Apple, and Facebook. Schmidhuber frequently shares insights on AI history, neural networks, and his research through academic papers, keynote speeches, and social media posts.
Data as of Oct 25, 2026.
The raw numbers · last 90 days
- Median views
- 83.2K
- per post
- Median engagements
- 781
- per post
- Posts
- 36
- over 90 days
- Followers
- 252.4K
- all scored platforms
What drives the score
Percentiles 0–100 against all tracked creators.
- Reach · 30%91
Average views per post over 90 days
- Engagement · 30%79
Average reactions per post
- Audience · 30%84
Total followers, relative to population
- Consistency · 10%100
Posting frequency (25 posts / 90 days = 100)
Platforms
252.4K total followers
| Platform | Followers | Score |
|---|---|---|
| X@schmidhuberai | 224.9K | 8,884t1 |
| LinkedIn@jürgen-schmidhuber-39226872 | 27.5K | 10,319t1 |
Last 30 days
Schmidhuber's top posts
![My 1991 paper [1] introduced 3 techniques that have become essential for modern large language models: ★ Pre-training for deep neural nets - the P in ChatGPT ★ Positional encoding (Sec. 5.1) ★ Distilling the knowledge…](/img/m/twitter_2107473486926995959.jpg)
X · 20 days ago#1JSJürgen SchmidhuberMy 1991 paper [1] introduced 3 techniques that have become essential for modern large language models: ★ Pre-training for deep neural nets - the P in ChatGPT ★ Positional encoding (Sec. 5.1) ★ Distilling the knowledge…
45.3K views394 engagements
- X · 29 days ago#2
Against his better judgment, @CadeMetz continues to claim in the NYT [1,2] that his friend @GeoffreyHinton helped develop distillation in the early 2010s [5], even though Hinton's team merely republished — without att…
JSJürgen Schmidhuber22.1K views199 engagements
- X · 16 days ago#3
Our embodied AI draws on memory. It recalls lived experiences, which contain depths of meaning that enable the AI to model the world, to plan, to minimize expected pain & maximize expected reward, and connect more…
JSJürgen Schmidhuber18.3K views196 engagements
- X · 19 days ago#4
Thanks Sebastian & Jake! We talked a lot about artificial scientists that set their own goals. Unfortunately, many of the AI alignment guys are not even aware that such AIs exist and have been around for decades h…
JSJürgen Schmidhuber1.5K views16 engagements
- X · 11 days ago#5
@HochreiterSepp Correcting typo in 6th paragraph: ... a weight of 0.99 reduces an error signal backpropagated for 100 time steps (or virtual layers) by an acceptable factor of 0.99^100 ~ 37%. A weight of 0.9, however,…
JSJürgen Schmidhuber2.5K views7 engagements
Head-to-head
