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Channel

ArtificialIntelligenceArticles

@ArtificialIntelligenceArticles

On this record: Topic · Growth · Engagement · Posts · Cite this entry

2,843subscribers

-25 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001135205499
TypeChannel
Username@ArtificialIntelligenceArticles
Created17 June 2017 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live5 October 2026
Measurements held13
Confirmed unchanged1 time, most recently 5 October 2026
On Telegramt.me/ArtificialIntelligenceArticles

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 15 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

2,8432,8682,855.56 August 2026 — 2,868 subscribers6 August 2026 — 2,868 subscribers9 August 2026 — 2,866 subscribers12 August 2026 — 2,867 subscribers16 August 2026 — 2,866 subscribers19 August 2026 — 2,867 subscribers23 August 2026 — 2,866 subscribers26 August 2026 — 2,867 subscribers1 September 2026 — 2,862 subscribers10 September 2026 — 2,856 subscribers13 September 2026 — 2,851 subscribers27 September 2026 — 2,848 subscribers5 October 2026 — 2,843 subscribers6 August 20265 October 2026
13 measurements spanning 60 days, net -25. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,839–2,872 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Oct 2026, 08:372,843-5
27 Sept 2026, 13:002,848-3
13 Sept 2026, 21:202,851-5
10 Sept 2026, 03:572,856-6
1 Sept 2026, 20:352,862-5
26 Aug 2026, 09:382,867+1
23 Aug 2026, 08:162,866-1
19 Aug 2026, 19:422,867+1
16 Aug 2026, 16:152,866-1
12 Aug 2026, 21:582,867+1
9 Aug 2026, 22:112,866-2
6 Aug 2026, 05:052,868no change
6 Aug 2026, 03:462,868first reading

Engagement

20 posts held, back to 24 September 2021 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 12 July 2022. An engagement rate over an empty window would be a number about nothing.

Recent posts

12 Jul 2022, 19:27 UTC≈7,050 viewsread 7 August 2026

BOOK High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications John Wright and Yi Ma Cambridge University Press https://book-wright-ma.github.io/

7 Jul 2022, 09:48 UTC≈7,320 viewsread 7 August 2026

⬆️ YOLOv7 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Github: https://github.com/wongkinyiu/yolov7 Paper: https://arxiv.org/abs/2207.02696v1 Dataset: https://paperswithcode.com/dataset/coco

1 Jul 2022, 16:36 UTC≈5,080 viewsread 7 August 2026

https://dagshub.com/blog/reverse-engineering-google-colab/

1 Jun 2022, 15:35 UTC≈4,040 viewsread 7 August 2026

Physics-based Deep Learning https://physicsbaseddeeplearning.org/intro.html https://arxiv.org/pdf/2109.05237.pdf

9 Feb 2022, 16:15 UTC≈4,770 viewsread 7 August 2026

ML YouTube Courses collection of some of the latest machine learning / NLP courses available on YouTube. https://github.com/dair-ai/ML-YouTube-Courses

14 Jan 2022, 06:42 UTC≈4,200 viewsread 7 August 2026

A ConvNet for the 2020s https://arxiv.org/abs/2201.03545 https://github.com/facebookresearch/ConvNeXt

9 Jan 2022, 14:05 UTC≈3,700 viewsread 7 August 2026

40 Open-Source Audio Datasets for ML Over 2 TBs of labeled audio datasets publicly available and parseable on DagsHub https://towardsdatascience.com/40-open-source-audio-datasets-for-ml-59dc39d48f06

3 Jan 2022, 03:46 UTC≈3,430 viewsread 7 August 2026

https://medium.com/paperswithcode/papers-with-code-2021-a-year-in-review-de75d5a77b8b

Showing the 12 most recent of 20 posts we hold for @ArtificialIntelligenceArticles. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 5 October 2026 — this entry's latest reading, not the date you are reading this.

“ArtificialIntelligenceArticles” (@ArtificialIntelligenceArticles), 2,843 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/ArtificialIntelligenceArticles.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.