Telegram RegisterThe public register of Telegram
Telegram profile photo for Machine Learning ID

Supergroup

Machine Learning ID

@machinelearningid

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

9,337members

-292 since we began measuring on 7 August 2026

176 online right now

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001138480008
TypeSupergroup
Username@machinelearningid
CreatedBetween 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded23 August 2026
Last confirmed live18 October 2026
Measurements held19
Confirmed unchanged1 time, most recently 18 October 2026
On Telegramt.me/machinelearningid

Topic

Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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

9,3379,6299,4837 August 2026 — 9,629 members8 August 2026 — 9,625 members11 August 2026 — 9,614 members15 August 2026 — 9,604 members18 August 2026 — 9,592 members22 August 2026 — 9,575 members23 August 2026 — 9,575 members25 August 2026 — 9,556 members28 August 2026 — 9,549 members31 August 2026 — 9,538 members4 September 2026 — 9,521 members9 September 2026 — 9,501 members13 September 2026 — 9,482 members17 September 2026 — 9,467 members26 September 2026 — 9,434 members5 October 2026 — 9,396 members11 October 2026 — 9,369 members15 October 2026 — 9,351 members18 October 2026 — 9,337 members7 August 202618 October 2026
19 measurements spanning 71 days, net -292. 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 9,293–9,673 and does not start at zero.
Measurement log — every members count we have recorded
Measured (UTC)MembersChange
18 Oct 2026, 00:309,337-14
15 Oct 2026, 00:599,351-18
11 Oct 2026, 13:179,369-27
5 Oct 2026, 06:149,396-38
26 Sept 2026, 14:179,434-33
17 Sept 2026, 04:599,467-15
13 Sept 2026, 03:169,482-19
9 Sept 2026, 14:389,501-20
4 Sept 2026, 03:179,521-17
31 Aug 2026, 13:049,538-11
28 Aug 2026, 08:539,549-7
25 Aug 2026, 05:289,556-19
23 Aug 2026, 18:239,575no change
22 Aug 2026, 13:489,575-17
18 Aug 2026, 18:129,592-12
15 Aug 2026, 15:189,604-10
11 Aug 2026, 21:329,614-11
8 Aug 2026, 17:449,625-4
7 Aug 2026, 21:569,629first reading

Engagement

No public post preview. We read this entry on 24 August 2026 and Telegram serves no public post stream for it — the channel has previews switched off, or it is a group or bot with no readable feed. Views, reactions and engagement rates cannot be measured from the outside for an entry in this state, so we publish none. Subscriber counts above are unaffected.

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 18 October 2026 — this entry's latest reading, not the date you are reading this.

“Machine Learning ID” (@machinelearningid), 9,337 members as measured 18 October 2026. Telegram Register, tgregister.com/channel/machinelearningid.

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.