@j_links
Just links
Telegram channel @j_links: 6.9K subscribers, 1.5K views per post, score 50
50CAhead of 3 in 10 channels in its category
Category midrange 46–63This channel 50
- 6.9K
- Subscribers
- 1.5K
- Median views over 30 days
- 21.4%
- Views / subscribers over 30 days
- 39
- Posts over 30 days
Data as of October 1, 2026
Collects links to fresh research and material on artificial intelligence: papers, benchmarks, posts from researchers. Recent items include a study on how AI assistants absorb traits from human characters they resemble, a look at CheatBench for measuring reward gaming in AI agents, a piece on near-saturation of leading physics benchmarks among frontier models, and an essay on why most foundation model findings from academia don't survive scrutiny. As of 15 September: the channel has 6.9K subscribers, below the category median of 13.7K. It posted 42 times over 30 days, more often than the category median. Median views per post stand at 1.2K, with an ER of 17.7%, below the category median of 24.6%. The format is short link roundups without added commentary.
catalog description About the channel, by its author
That's just link aggregator of everything I consider interesting, especially DL and topological condensed matter physics. @EvgeniyZh
Common questions
- How many subscribers?
- Subscribers: 6.9K. Median views per post: 1.5K. Views per subscriber: 21.4%. Measured on October 1, 2026.
- How often are posts published?
- Posts in the last 30 days: 39 — that is almost every day. Measured on October 1, 2026.
- Does this channel have a Telegram tick?
- No Telegram tick.
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6,9266,888
Oct 16,926+1 in a day
Hover the chart or swipe it — we show the day.
| What it is made of | |
|---|---|
| Engagement | 7.9 of 30 |
| Growth quality | 16.2 of 20 |
| Reactions and forwards | 6 of 15 |
| Consistency | 8.2 of 12 |
| Trust | 3.9 of 8 |
| Reviews | not enough datano reviews yet |
Score 50 — from 5 of 6 signals: the rest are not measured yet. Methodology
Latest posts
- Natural Image Pretraining Improves Abstract Reasoning
link.springer.com/…
https://link.springer.com/chapter/10.1007/978-3-032-37517-9_6 - Context Language Models arxiv.org/abs/2609.37725
- Disentangling the Toric Code arxiv.org/abs/2609.30363
- Spurious probes as a black-box alternative to activation probing
lesswrong.com/…
https://www.lesswrong.com/posts/gZh6txHhp8sm832sE/spurious-probes-as-a-black-box-alternative-to-activation - Learning to Discover Interesting Mathematics arxiv.org/abs/2609.28603
fixupx.com/…
https://fixupx.com/syhw/status/2103488919819948513- Self-Play Pretraining with Zero Data arxiv.org/abs/2609.30063
- Cheaters and whistleblowers in the agent swarm
institute.deepmind.com/…
https://institute.deepmind.com/essays/cheaters-and-whistleblowers-in-the-agent-swarm - Small-Scale Experiments: Are We There Yet? arxiv.org/abs/2608.11859
- Classification of Rational c=1 Vertex Operator Algebras and Vertex Operator Superalgebras arxiv.org/abs/2609.00122
The channel in numbers
- Created
- February 15, 2017
- Photos
- 374
- Videos
- 46
- Files
- 10
- Links
- 8K
Telegram data as of October 1, 2026
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