Telegram RegisterThe public register of Telegram
Telegram profile photo for Al Talent Hub

Channel

Al Talent Hub

@aitalenthubnews

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

7,723subscribers

+74 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001610440767
TypeChannel
Username@aitalenthubnews
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/aitalenthubnews

Topic

Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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

7,6497,7307,689.55 August 2026 — 7,649 subscribers6 August 2026 — 7,649 subscribers9 August 2026 — 7,653 subscribers11 August 2026 — 7,650 subscribers15 August 2026 — 7,664 subscribers18 August 2026 — 7,676 subscribers22 August 2026 — 7,683 subscribers25 August 2026 — 7,685 subscribers29 August 2026 — 7,711 subscribers1 September 2026 — 7,730 subscribers4 September 2026 — 7,720 subscribers9 September 2026 — 7,724 subscribers13 September 2026 — 7,725 subscribers17 September 2026 — 7,723 subscribers7,7235 August 202617 September 2026
14 measurements spanning 43 days, net +74. 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 7,637–7,742 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 11:587,723-2
13 Sept 2026, 17:387,725+1
9 Sept 2026, 14:357,724+4
4 Sept 2026, 17:167,720-10
1 Sept 2026, 08:257,730+19
29 Aug 2026, 01:267,711+26
25 Aug 2026, 19:187,685+2
22 Aug 2026, 10:567,683+7
18 Aug 2026, 18:387,676+12
15 Aug 2026, 19:587,664+14
11 Aug 2026, 23:157,650-3
9 Aug 2026, 04:117,653+4
6 Aug 2026, 03:067,649no change
5 Aug 2026, 22:007,649first reading

Engagement

28 posts held, back to 23 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.8%
avg views ÷ 7,723 subscribers
Avg views / post
910
1 post measured
Reaction rate
3.74%
reactions ÷ views · ER floor
Posts in window
1
of 28 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 August 2026
Posts held28 (23 July 2026 – 27 August 2026)
Views total910
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 21:04 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
59s
Average length
59s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

1,057 reactions across 24 posts, in 17 distinct kinds. The most used accounts for 31.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥33631.8%
custom 522470802343540463716715.8%
custom 540017444984246640313212.5%
😎696.53%
custom 5332306149725194071555.20%
❤524.92%
custom 5422448416527496950504.73%
⚡464.35%
😁393.69%
💅292.74%
❤‍🔥272.55%
custom 5330524382542448821191.80%
🌚111.04%
👍80.757%
custom 533041148503210639360.568%
💔60.568%
🏆50.473%

Custom emoji. 6 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 28 of the 28 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,192 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 23 July 2026 to 27 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 28 we hold a reading for · 4%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aitalenthubnews. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 28 most recent posts we hold for this entry, published 23 July 2026 to 27 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

27 Aug 2026, 15:08 UTC910 views34 reactionsread 28 August 2026
Photo

🚀 Из 100 шагов → в 16: как ускорить генерацию видео и не потерять качество? Диффузионные модели генерируют видео через десятки шагов расшумления. Чем их больше — тем медленнее и дороже инференс. Задача дистилляции — сократить этот путь, сохранив качество генерации. 👤 Лев Новицкий, руководитель направления по исследованию данных в Сбере, разобрал, как команда Kandinsky сократила число шагов со 100 до 16 и при этом у…

🔥22😎6custom 54001744498424664034😁2

25 Aug 2026, 17:32 UTC≈1,540 views41 reactionsread 28 August 2026
Photo

❤️ Ставочка сыграла? ALUMNI '24 VS '26 про платное обучение и его окупаемость Читай последний выпуск интервью в карточках и используй шанс записаться на последний вступительный экзамен 27 августа. 🖍 Еще больше историй талантов Хаба — в первом и втором выпуске. До конца приёмной кампании ещё можно успеть #ПоступитьПравильно — регистрируйся на Госуслугах и делай ставку на карьеру 😎 💅 — моя ставка сыграла 😎 — уже сч…

💅19😎8❤7🔥4😁3

24 Aug 2026, 16:29 UTC≈1,800 views37 reactionsread 28 August 2026
Photo

👥 LLM замедляем, роботов ускоряем, #AINews начинаем 🛑 OpenAI притормозила разработку новых моделей ради безопасности После нескольких инцидентов с автономными агентами OpenAI решила временно снизить темп разработки и пересмотреть меры безопасности. Компания усилила защиту инфраструктуры и мониторинг моделей, однако эксперты отмечают, что такой шаг также может повлиять на сроки будущих релизов. 🧬 мИИндальная связь…

custom 533052438254244882119🔥9custom 53304114850321063936❤3

21 Aug 2026, 08:35 UTC≈2,610 views36 reactionsread 28 August 2026
Photo

😰 Магистратура за 17 рублей в день? Рассказываем, как это возможно. Если ты не прошел на бюджет или просто не можешь туда поступить — без паники, мы все устроим. И это не будет стоит целого состояния. На финальном ДОДе'26 Дмитрий Ботов и Елизавета Василенко разобрали платную форму обучения в Хабе, посчитали сколько это будет стоить на самом деле и поговорили с теми, кто уже оплатил учебу (спойлер: во всех случаях о…

🔥12😎7custom 53323061497251940717😁5❤3custom 52247080234354046372

19 Aug 2026, 17:06 UTC≈2,470 views81 reactionsread 28 August 2026

Posted without readable text

🔥36custom 522470802343540463730😁8custom 54001744498424664037

18 Aug 2026, 17:25 UTC≈1,860 views52 reactionsread 28 August 2026
Photo

📈 Платить или не платить? Вот в чем вопрос. Пока мы считаем дни до окончания приемной кампании, ты еще можешь посчитать окупаемость инвестиций в себя и свое образование. Успей #ПоступитьПравильно и регистрируйся на экзамен на Госуслугах — осталось всего 3 даты: 20, 25 и 27 августа! Ждем 😎 🔥 — this is ↗ 😎 — а я уже в Хабе @aitalenthubnews #ITMO #NapoleonIT

🔥21😎18custom 54001744498424664038⚡3😁1custom 54224484165274969501

17 Aug 2026, 17:08 UTC≈1,760 views31 reactionsread 25 August 2026
Photo

👥 #AINews здесь: врываемся в неделю с ИИ-апдейтами 🔍 Claude будет маркировать сгенерированный контент Anthropic внедряет машинную маркировку контента в соответствии с требованиями европейского закона об ИИ. Новые модели Claude будут незаметно встраивать в текст статистический водяной знак, а созданные изображения и другие поддерживаемые файлы получат подписанные метаданные о происхождении. 👋 В OpenAI новая волна у…

🔥12😎10🌚6❤2⚡1

14 Aug 2026, 16:04 UTC≈2,090 views36 reactionsread 25 August 2026
Photo

✏️ Как обучать LLM быстрее и не упереться в память GPU? Претрейнинг — этап, на котором LLM учится на огромном объёме данных. За то, как на каждом шаге меняются её веса, отвечает оптимизатор — алгоритм, который помогает модели уменьшать ошибку. На больших моделях от его выбора зависят не только качество, но и скорость обучения и расход памяти. 👤 Глеб Молодцов, исследователь BRAIn Lab, разобрал, как выбирать оптимиз…

custom 522470802343540463716👍8😁5😎5🏆2

14 Aug 2026, 13:07 UTC≈2,490 views27 reactionsread 25 August 2026
Video message

Video message, posted without a caption

😎12❤9❤‍🔥3custom 52247080234354046373

14 Aug 2026, 13:07 UTC≈2,370 views24 reactionsread 22 August 2026

↗️ Как сделать крутую и быстроокупаемую инвестицию в себя? Расскажем уже через час! Залетай на финальный ДОД’26, где мы честно поговорим про платное обучение в Хабе. Разберем: *️⃣ Как снизить расходы: образовательный кредит под 3% и налоговый вычет 13%; *️⃣ Как перевестись на бюджет? *️⃣ Как уже в сентябре стать магистрантом Хаба и забустить карьеру? ➡️ Не успел зарегистрироваться? Можно исправить тут Персональн…

🔥11custom 54001744498424664037⚡6

13 Aug 2026, 15:00 UTC≈1,810 views33 reactionsread 20 August 2026
Video message

Video message, posted without a caption

❤‍🔥15custom 522470802343540463710custom 54001744498424664038

13 Aug 2026, 15:00 UTC≈2,000 views34 reactionsread 20 August 2026
Photo

#OpenTalks Разбираемся, как превратить ИИ из перспективного пилота в работающий бизнес-инструмент вместе с Олегом Шатовым! Эксперты: 🎙 Кирилл Куликов — сооснователь B2B-стартапа Beau, выпускник Y Combinator 🎙 Михаил Войтко — руководитель по внедрению продвинутой аналитики в Альфа-Банке 🎙 Иван Самсонов — CTPO of AI в MWS, руководитель направления ИИ-копилотов ✈ Трансляция завершена! Спасибо, что были с нами!

custom 542244841652749695013custom 533230614972519407110⚡7❤4

Showing the 12 most recent of 28 posts we hold for @aitalenthubnews. 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.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 18 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Data Science Jobs
@datasciencejobs · 22,137
Telegram ranks this channel #24 of 93 here — alongside 92 others — read 21 September 2026
karpov.courses
@KarpovCourses · 27,446
Telegram ranks this channel #34 of 96 here — alongside 95 others — read 10 September 2026
XOR
@xor_journal · 175,669
Telegram ranks this channel #36 of 93 here — alongside 92 others — read 12 August 2026
LLM под капотом
@llm_under_hood · 29,146
Telegram ranks this channel #38 of 96 here — alongside 95 others — read 9 September 2026
Data Secrets
@data_secrets · 93,800
Telegram ranks this channel #45 of 98 here — alongside 97 others — read 17 August 2026
Арон Закрия
@aironzak · 121,041
Telegram ranks this channel #47 of 80 here — alongside 79 others — read 3 September 2026
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 45,274
Telegram ranks this channel #59 of 90 here — alongside 89 others — read 28 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Al Talent Hub” (@aitalenthubnews), 7,723 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/aitalenthubnews.

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.