Telegram RegisterThe public register of Telegram

Channel

НейроЛаб 👾 🧪

@kitchenlabai

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

366subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001129140657
TypeChannel
Username@kitchenlabai
DescriptionАвтор @nesterenkoooo Рассуждаем про ИИ • AI • Нейросети • LLM • Deep learning
CreatedBetween 1 June 2017 and 31 August 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/kitchenlabai

Growth

3667 Aug 2026, 19:23 — 366 subscribers8 Aug 2026, 06:31 — 366 subscribers7 Aug 2026, 19:238 Aug 2026, 06:31
2 measurements taken within a single day. 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 365–367 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 06:31366no change
7 Aug 2026, 19:23366first reading

Engagement

19 posts held, back to 24 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.7%
avg views ÷ 366 subscribers
Avg views / post
61.2
10 posts measured
Reaction rate
3.40%
reactions ÷ views · ER floor
Posts in window
10
of 19 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. It is computed over the 5 of 10 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held19 (24 June 20264 August 2026)
Views total612
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:31 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

Photos
337
Videos
136
Links
143

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
4m 09s
Average length
31s

Measured directly from 8 videos 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

29 reactions across 10 posts, in 12 distinct kinds. The most used accounts for 27.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣827.6%
👍517.2%
🔥413.8%
310.3%
💩26.90%
🍾13.45%
😍13.45%
😭13.45%
🙏13.45%
🤝13.45%
🤡13.45%
🤪13.45%

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 10 of the 19 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 29reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 24 June 2026 to 4 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.

Recent posts

4 Aug 2026, 06:55 UTC28 viewsread 8 August 2026
Photo

Российский рынок труда переживает масштабную трансформацию: За последние два года спрос на специалистов, владеющих навыками работы с генеративным искусственным интеллектом (GenAI), вырос в пять раз. К таким выводам пришел Центр макроэкономических исследований Сбербанка, проанализировавший около 40 млн размещенных вакансий. Главные тренды на рынке труда: Российский рынок труда переживЕсли раньше технологии ИИ требо

31 Jul 2026, 10:51 UTC42 viewsread 8 August 2026
Video

Александр Крайнов из Яндекса на сессия «Человечность в коде», РИФ-2026, рассказывает про сервис, который ведёт технологию за собой и как компания ищет разрыв между тем, что уже работает, и тем, что ещё возможно.

27 Jul 2026, 02:31 UTC69 viewsread 8 August 2026
Photo

Безопасность ИИ-агентов: вызов, который нельзя игнорировать! 🤖🔒 Век умных помощников и автономных ИИ-агентов уже наступил, но готовы ли мы защитить их от новых угроз? Яндекс ЦОД и Школа анализа данных запустили Agent Security Week — масштабную неделю, посвященную безопасности искусственного интеллекта. Это уникальная возможность погрузиться в мир уязвимостей нейросетей, узнать про вектор атак на агентов и научитьс

25 Jul 2026, 02:25 UTC63 viewsread 8 August 2026
Forwarded from @Young_and_YandexPhoto

Вайбкрафтинг — это новый вайбкодинг Яндекс запустил VibeCraft — сервис, который генерит сайты и приложения по текстовому промпту. Как работает: описываешь идею, а ИИ за 10 минут выдаёт рабочий проект. Самое то для прототипов и пет-проектов — с VibeCraft уже собирают платформы для обучения, калькуляторы, дашборды и мини-игры. Есть галерея с референсами, а домен можно прикрутить прямо в интерфейсе. Уметь кодить не

22 Jul 2026, 07:54 UTC57 viewsread 8 August 2026
Video

Когда послушал лесные байки перед сном в палатке в лесу Оригинал: f4mrv

17 Jul 2026, 12:25 UTC77 views1 reactionsread 8 August 2026
Video

План по захвату роботами нашей планеты… Оригинал: ingenieure_en_herbe

😭1

16 Jul 2026, 11:13 UTC91 views5 reactionsread 8 August 2026
Photo

Бесплатный курс по созданию ИИ контента

🔥2🍾1🤡1🙏1

16 Jul 2026, 07:10 UTC69 views2 reactionsread 8 August 2026
Video

🤖 OpenAI представила свой первый аппаратный продукт — мини-клавиатуру Codex Micro! Совместно с производителем Work Louder, OpenAI разработала физический контроллер, созданный специально для программистов, управляющих ИИ-агентами. Это идеальная «приборная панель» для тех, кто работает сразу с несколькими ИИ-задачами параллельно. Главные фишки устройства: 🔹 Световая RGB-индикация: 6 специальных клавиш показывают ст

🤣1😍1

16 Jul 2026, 04:22 UTC54 views1 reactionsread 8 August 2026
Photo

🤖 Яндекс: Alice AI ART 2.0 — путь к единой модели для генерации и редактирования изображений Команда машинного обучения Яндекса рассказала на Хабре о создании новой версии своего ИИ-генератора — Alice AI ART 2.0. Раньше генерация картинок по тексту (Text-to-Image, T2I) и редактирование уже готовых картинок по инструкции (Image-to-Image, I2I) существовали как две разные модели со своими пайплайнами, что усложняло раз

👍1

16 Jul 2026, 04:01 UTC62 views3 reactionsread 8 August 2026
Photo

LingoHut — полностью бесплатная образовательная платформа для изучения иностранных языков с нуля. Глобальный сервис с обучением более 50 языкам и русским интерфейсом. Главные фишки LingoHut: — Никаких скрытых подписок, премиум-аккаунтов или заблокированных уроков. Полный доступ сразу. — 🎧 Упор на аудирование и произношение. Все слова озвучены носителями языка, а не роботами. — Обучение разбито на тематические блоки

👍2🔥1

10 Jul 2026, 19:00 UTC88 views1 reactionsread 8 August 2026
Video

Нужно ли учиться в университете 5 лет? Как ИИ влияет на образование? Источник: efko_group

🤝1

9 Jul 2026, 07:56 UTC92 views5 reactionsread 8 August 2026
Video

Жиза в 2026 году. Оригинал: bratki_mixit

🤣31🤪1

Showing the 12 most recent of 19 posts we hold for @kitchenlabai. 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.

Citation-graph rank

Citation-graph rank — 952,871 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“НейроЛаб 👾 🧪” (@kitchenlabai), 366 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/kitchenlabai.

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.