Jürgen Schmidhuber ✓

@SchmidhuberAI · Switzerland, KSA · joined 20 Aug 2019

OG of: P and T in ChatGPT, 100x deeper learning, meta learning and RSI, neural distillation, GAN/World Model... Co-authored most-cited AI paper of 20th century

216 221Followers

0Following

352Posts total

16.4MViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views210 411this account21 891median for 100K–1M

Reach, %97.31%this account6.81%median for 100K–1M

Engagement, %0.43%this account1.14%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	210 411	21 891	9.61×
Reach (views ÷ followers)	97.31%	6.81%	14.3×
Engagement rate	0.43%	1.14%	0.38×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

290.1K29 Jan

63.3K13 Aug

13.8M29 Aug

1.8M2 Sep

16.2K

210.4K

295.7K3 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.69%29 Jan

0.42%13 Aug

0.20%29 Aug

0.18%2 Sep

0.98%

0.44%

3.64%3 Sep

0.55%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.14%.

What the audience does

Likes45.7%36 582 in total

Reposts5.2%4 180 in total

Replies2.2%1 801 in total

Quotes3.0%2 434 in total

Bookmarks43.8%35 136 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

I agree. @Nature tolerates plagiarism. Aside from the Jason Arday case: Geoffrey Hinton never retracted or corrected his Nature papers that republished/misattributed fundamental techniques invented by others whom he failed to cite. Well-known report on this: 2K views · 10 likes · 0 reposts · 1 replies 03 Sep 2026 @Nature Nature is no longer worthy of respect 295.7K views · 9.9K likes · 389 reposts · 412 replies 03 Sep 2026 This "recurrent depth" is essentially what's in Sec. 5.3 of the 2015 paper: On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models https://t.co/0sqotWZqxp. This paper went beyond the 210.4K views · 820 likes · 49 reposts · 23 replies 02 Sep 2026 Wait until each agent in the collective tries to maximise money in a reinforcement learning (RL) "Economy Of Minds" (EOM)! From the 2023 paper on "Mindstorms in Natural Language-Based Societies of Mind" (NLSOMs, https://t.co/Z3vGwoRLLv): ... A central aspect of our NLSOMs is 16.2K views · 135 likes · 10 reposts · 13 replies 02 Sep 2026 OpenAI’s Astra AI uses a new reasoning approach called “recurrent depth.” Though it can help model costs and performance, researchers are concerned bc it obscures a model’s thinking process, making it more difficult to monitor. w/ @amir @rocketalignment https://t.co/ksprupu2h5 1.8M views · 2.6K likes · 202 reposts · 141 replies 02 Sep 2026 Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes. This culminated in the third one taking over part of OpenAI itself. All this happened while humans remained 13.8M views · 21.4K likes · 3.2K reposts · 1.1K replies 29 Aug 2026 The first modern backprop-trained CNN for vision was published in 1988 in Japan by Wei Zhang (a Chinese researcher), J. Tanida, K. Itoh, Y. Ichioka. Wei brought it to Silicon Valley, earning 1998 FDA PMA approval for radiology’s 1st AI, reading 10M+ mammograms/yr in the US. https 63.3K views · 226 likes · 18 reposts · 13 replies 13 Aug 2026 It has been said that AI is the new oil, the new electricity, and the new internet. And the once nimble and highly profitable software companies (MSFT, GOOG, ...) became like utilities, investing in nuclear energy, among other things, to run AI data centres. Open Source and the h 290.1K views · 1.5K likes · 328 reposts · 114 replies 29 Jan 2025