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Channel

Neurogen

@neurogen_news

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

22,930subscribers

+74 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001576403059
TypeChannel
Username@neurogen_news
Created2 May 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/neurogen_news

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

22,84822,94122,894.57 August 2026 — 22,856 subscribers7 August 2026 — 22,856 subscribers7 August 2026 — 22,855 subscribers8 August 2026 — 22,850 subscribers9 August 2026 — 22,848 subscribers10 August 2026 — 22,849 subscribers11 August 2026 — 22,854 subscribers12 August 2026 — 22,856 subscribers13 August 2026 — 22,862 subscribers14 August 2026 — 22,883 subscribers16 August 2026 — 22,882 subscribers17 August 2026 — 22,886 subscribers18 August 2026 — 22,885 subscribers19 August 2026 — 22,890 subscribers21 August 2026 — 22,897 subscribers22 August 2026 — 22,902 subscribers24 August 2026 — 22,905 subscribers25 August 2026 — 22,898 subscribers27 August 2026 — 22,900 subscribers28 August 2026 — 22,909 subscribers29 August 2026 — 22,912 subscribers30 August 2026 — 22,917 subscribers31 August 2026 — 22,929 subscribers2 September 2026 — 22,935 subscribers3 September 2026 — 22,927 subscribers5 September 2026 — 22,928 subscribers8 September 2026 — 22,932 subscribers11 September 2026 — 22,935 subscribers13 September 2026 — 22,938 subscribers16 September 2026 — 22,941 subscribers18 September 2026 — 22,930 subscribers22,9307 August 202618 September 2026
31 measurements spanning 42 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 22,834–22,955 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
18 Sept 2026, 18:1822,930-11
16 Sept 2026, 13:1722,941+3
13 Sept 2026, 09:5922,938+3
11 Sept 2026, 14:1922,935+3
8 Sept 2026, 20:3922,932+4
5 Sept 2026, 16:4122,928+1
3 Sept 2026, 17:4022,927-8
2 Sept 2026, 11:3222,935+6
31 Aug 2026, 11:2622,929+12
30 Aug 2026, 08:4822,917+5
29 Aug 2026, 06:2422,912+3
28 Aug 2026, 08:5322,909+9
27 Aug 2026, 08:2822,900+2
25 Aug 2026, 09:4822,898-7
24 Aug 2026, 08:4922,905+3
22 Aug 2026, 14:1222,902+5
21 Aug 2026, 08:0522,897+7
19 Aug 2026, 13:2822,890+5
18 Aug 2026, 14:2622,885-1
17 Aug 2026, 17:1522,886first reading

Engagement

52 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 58 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.5%
avg views ÷ 22,930 subscribers
Avg views / post
4,020
13 posts measured
Reaction rate
1.70%
reactions ÷ views · ER floor
Posts in window
13
of 52 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 3 September 2026
Posts held52 (24 July 20263 September 2026)
Views total52,300
Reactions total889
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:56 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
16m 05s
Average length
1m 04s

Measured directly from 15 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

3,029 reactions across 51 posts, in 10 distinct kinds. The most used accounts for 60.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,84360.8%
👍51417.0%
2618.62%
🤔993.27%
👏762.51%
🗿742.44%
🤯692.28%
🙉451.49%
custom 5238088156527468191381.25%
🤷‍♂100.33%

Custom emoji. One row above is a 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 count beside it is 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 51 of the 52 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 3,029 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 52 most recent posts we hold, published 24 July 2026 to 3 September 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
17
across the posts below
Posts paid on
10
of 51 we hold a reading for · 20%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @neurogen_news. 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 52 most recent posts we hold for this entry, published 24 July 2026 to 3 September 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

3 Sept 2026, 08:29 UTC≈1,800 views59 reactions1 Starread 3 September 2026
Photo

Photo, posted without a caption

🔥41👍8👏5🙉4🗿1

2 Sept 2026, 16:30 UTC≈2,780 views37 reactionsread 3 September 2026
Photo

Gemini 3.8 Flash Обновили фаст модель от гуглов, все также хорошая в агентских процессах и отлично заходит для повседневного пользования По улучшениям, прирост в кодинге, агентских рабочих процессах и настройке баланса качества, стоимости и задержке Контекстное окно 1млн токенов, выводит до 64к, принимает текст, изображения, аудио, видео и pdf, К сожалению затупы и галлюцинации минимизировать не смогли, все пока

🔥26👍54🗿2

Signed muzaffar

1 Sept 2026, 18:24 UTC≈3,300 views44 reactionsread 3 September 2026

Posted without readable text

🔥3110👍3

Signed muzaffar

1 Sept 2026, 16:02 UTC≈3,260 views40 reactionsread 3 September 2026
Video

Qwen3.8-27B (DFlash2 GGUF) Ускорялка для Qwen3.8-27B Диффузионный драфтер для спекулятивного декодинга. Он работает в паре с целевой Qwen3.8-27B, ускоряя генерацию без потери качества Про базовую qwen3.8-27b можете почитать в посте, на бенчах она уверенно превосходит Qwen3.6-27B, Qwen3.7-Plus и Muse Glimmer-30B, а во многих категориях обходит Opus4.6 Max 🔘Системные требования Если у вас 24 ГБ VRAM, берите Q4_K_M

🔥247🙉5👍4

Signed muzaffar

31 Aug 2026, 12:46 UTC≈3,460 views72 reactionsread 3 September 2026
Forwarded from @data_secretsVideo

Инженеры OpenAI не могут объяснить свой вайбкод Об этом рассказал аналитик из SemiAnalysis Джордан Нанос, который сотрудничал с разработчиками из OpenAI, когда те тестировали свой новый инференс-чип Jalapeño на бенчмарке InferenceX, принадлежащем SemiAnalysis. Он говорит, что люди с внушительной личной экспертизой не смогли построчно объяснить, что делает код. Кернел (а точнее, низкоуровневый Gluon-ассемблер), о ко

🤯40🤔12🔥75🗿4🙉3👏1

31 Aug 2026, 06:55 UTC≈3,680 views45 reactionsread 3 September 2026
Photo

Вышли веса GLM-5.3 Про модель можете почитать в посте Кстати по мимо дефолтных фреймворков sglang, vllm и тд, теперь развернуть можно официально и через Unsloth https://unsloth.ai/docs/models/glm-5.3 Вот это действительно полезное новшество, там и базовая glm-5.3 и flash версия https://huggingface.co/zai-org/GLM-5.3

🔥37👍53

Signed muzaffar

29 Aug 2026, 16:23 UTC≈4,790 views78 reactionsread 3 September 2026
Video

MiniMax H3 Max видео за 3 секунды Бесплатно и без регистрации НЕ КЛИКБЕЙТ На fal.ai залили плейграунд с minimax h3 max, пишешь промпт или закидываешь картинку и через 3 секунды получаешь 5 секундное видео сгенерированное в 768p, со встроенным стереозвуком Дают 5 бесплатных генераций в день, даже рега не нужна, наверное это как то обходить можно, вполне возможно просто кеш сайта почистить H3 Max - это пост-тренир

🔥60👍11🤷‍♂43

Signed muzaffar

28 Aug 2026, 06:53 UTC≈4,820 views111 reactionsread 3 September 2026
Photo

FireRedTTS3 Portable by Neurogen Полноценная локальная студия синтеза и клонирования речи на базе FireRedTTS3. Упаковал модель, движок и все необходимые компоненты в самостоятельное portable-приложение для Windows Отдельная установка Python, PyTorch, FFmpeg и системных зависимостей не требуется. Распаковали архив, запустили Neurogen.exe и работаете 🔘Что умеет Studio - Voice Clone на базе FireRedTTS3 Base и Ins

🔥79👍274🤔1

Signed muzaffar

27 Aug 2026, 19:34 UTC≈4,630 views107 reactionsread 3 September 2026
Photo

Завтра релиз

🔥79👍137🗿3🙉3🤔2

Signed muzaffar

27 Aug 2026, 06:16 UTC≈6,390 views105 reactionsread 3 September 2026
Photo

NVIDIA покупает Hugging Face за $12,9 млрд Забавно, что ранее Hugging Face отклонила предложение NVIDIA о инвестиции в $500 млн при оценке $7 млрд, желая сохранить независимость. Переговоры о продаже шли при оценке от $13 млрд и вот, сделка состоялась Сначала, чипы, потом облако, теперь ваще главный хаб открытых моделей, все больше и больше нвидиа поглощает мир ии, как бы не стремились развивать ai индустрию, они в

🔥41🗿32🙉16🤯105👍1

Signed muzaffar

26 Aug 2026, 15:15 UTC≈5,390 views37 reactionsread 3 September 2026
Photo

GLM-5.3-Flash Флеш версия glm-5.3, стартует со свежего базового предобучения на 30T токенов мультимодальных данных, больше интеллекта за меньшие вычисления 🔘1M токенов контекста, 320B параметров, всего 18B активных, гибридная архитектура (sparse + linear attention) даёт эффективность в 3-4 раза выше по вычислениям и KV-кэшу, чем у GLM-5.3 🔘Нативная мультимодальность, впервые в серии GLM-5: модель видит интерфейсы,

🔥267👍4

Signed muzaffar

26 Aug 2026, 10:10 UTC≈3,990 views105 reactions1 Starread 2 September 2026
Video

FireRedTTS-3 Open-source, SOTA, ттска от китайцев, уже третья версия, это генерация и редактирование речи, по производительности и качеству приятно удивила, советую попробовать 🔘Две версии: - FireRedTTS3-Base для zero-shot клонирования голоса - FireRedTTS3-Instruct для управления голосом через естественный язык и редактирования аудио 24 языка + 21 китайский диалект (Arabic · Cantonese · Chinese · Czech · Dutch ·

🔥91👍113

Signed muzaffar

Showing the 12 most recent of 52 posts we hold for @neurogen_news. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@neurogen_news edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
31 August 2026
Most recent edit
31 August 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

25 Aug 2026, 04:24 UTCAnonymous Poll887 voters

Где чаще всего пользуетесь AI чатами / AI агентами?

  1. С ПК (через десктоп клиент)38%
  2. С ПК (через браузер)36%
  3. С ПК (через терминал / консоль)11%
  4. С мобильного (через приложение)13%
  5. С мобильного (через браузер)2%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 52 most recent posts we hold, published 24 July 2026 to 3 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#65
XLabs AI
@ai_xlabs · 511
#66
Workshop AI
@workshopairu · 8,116
#67
Метаверсошная
@olya_tashit · 13,039
#68
Артемий Лебедев
@temalebedev · 968,245
#69
Лабубянка
@labubyanka · 860
#70
Eco.Synapse ❀ Нейросети
@ecosynapse · 1,882
#71
НЕЙРО-ЗВУК ● Генерация музыки и звуков ● Udio ● SUNO ● Riffusion
@Neuro_Sound · 2,504
#72
Сегодня в тренде
@trends · 1,149,945
#73
Промпты для нейросетей
@prompty · 30,029
#74
НЕЙРО-СКЛАД ● Модели и LoRa для FLUX и SD, WAN, Hunyuan
@neurosklad · 8,507
#75
Двач
@dvachannel · 938,773
#76
Эксплойт
@exploitex · 2,041,128
#77
Бэкдор
@whackdoor · 1,603,481
#78
Ньюсач/Двач
@ru2ch · 650,396
#79
Раньше всех. Ну почти.
@bbbreaking · 1,971,693
#80
ComfyUI (Flux, ZIT, QWEN)
@AI_SD · 4,297
#81
Анатолий Шарий
@asupersharij · 1,700,527
#82
🌌 НЕЙРО-ФАЙЛЫ
@nerualfiles · 3,724
#83
Не баг, а фича
@bugnotfeature · 1,045,696
#84
СТАС БОМБИТ
@ikakprosto · 326,616
#85
Антонов такой Антонов
@auantonov · 321,690
#86
Tynu40k Goblina (oper.ru)
@oper_goblin · 494,224
#87
Нейромаргиналы 18+
@neuromarginals · 589
#88

Read from Telegram’s recommendation API, most recently 19 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

🟡NeuroGraph
@neyr0graph · 34,435
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 3 September 2026
Lama AI
@lama_channel_gpt · 24,736
Telegram ranks this channel #11 of 90 here — alongside 89 others — read 15 September 2026
НейроProfit | Соня Pro Ai
@NeuralProfit · 23,400
Telegram ranks this channel #12 of 96 here — alongside 95 others — read 18 September 2026
CyberYozh AI Security
@CyberYozh_AI_security · 26,576
Telegram ranks this channel #13 of 91 here — alongside 90 others — read 12 September 2026
Tips AI | IT & AI
@tips_ai · 25,376
Telegram ranks this channel #17 of 95 here — alongside 94 others — read 14 September 2026
Технологии | Нейросети | Боты
@aiaiai · 176,423
Telegram ranks this channel #22 of 93 here — alongside 92 others — read 12 August 2026
Ai molodca
@strangedalle · 46,847
Telegram ranks this channel #24 of 94 here — alongside 93 others — read 27 August 2026
Нейроскептик
@neuroskep · 29,484
Telegram ranks this channel #28 of 90 here — alongside 89 others — read 8 September 2026
Метаверсище и ИИще
@cgevent · 52,361
Telegram ranks this channel #30 of 92 here — alongside 91 others — read 25 August 2026
Силиконовый Мешок
@prompt_design · 85,657
Telegram ranks this channel #36 of 96 here — alongside 95 others — read 18 August 2026
Смотри, Морозов и ИИ
@mmmorozov · 61,416
Telegram ranks this channel #39 of 96 here — alongside 95 others — read 23 August 2026
Serge_AI 1.0
@serge_ai · 57,484
Telegram ranks this channel #42 of 99 here — alongside 98 others — read 23 August 2026
Neural Pony
@neuralpony · 195,187
Telegram ranks this channel #44 of 61 here — alongside 60 others — read 13 August 2026
SYNTX FAMILY
@syntxfamily · 323,728
Telegram ranks this channel #56 of 93 here — alongside 92 others — read 22 August 2026
NeuroADEPT
@neuroadepts · 41,375
Telegram ranks this channel #65 of 85 here — alongside 84 others — read 29 August 2026

This channel appears in 15 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Neurogen” (@neurogen_news), 22,930 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/neurogen_news.

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.