Telegram RegisterThe public register of Telegram

Channel

sh | ИИ

@shneural

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

2,052subscribers

+4 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002555537259
TypeChannel
Username@shneural
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/shneural

Growth

2,0482,0522,0507 August 2026 — 2,048 subscribers7 August 2026 — 2,048 subscribers11 August 2026 — 2,052 subscribers7 August 202611 August 2026
3 measurements spanning 3 days, net +4. 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 2,047–2,053 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 03:562,052+4
7 Aug 2026, 17:032,048no change
7 Aug 2026, 16:492,048first reading

Engagement

18 posts held, back to 18 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
91.1%
avg views ÷ 2,052 subscribers
Avg views / post
1,870
18 posts measured
Reaction rate
2.09%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 6 August 2026
Posts held18 (18 July 20266 August 2026)
Views total33,666
Reactions total702
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:03 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.

Reaction mix

702 reactions across 18 posts, in 16 distinct kinds. The most used accounts for 25.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥17725.2%
custom 53414294934855745149313.2%
custom 57736781374811055049012.8%
👍7711.0%
476.70%
😱395.56%
custom 5163726565938301410385.41%
custom 5345824602239016465354.99%
🤯304.27%
🔥253.56%
😭233.28%
🎉81.14%
🌭70.997%
😁60.855%
🤪40.57%
🍓30.427%

Custom emoji. 4 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 areTelegram’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 18 of the 18 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 702reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 18 July 2026 to 6 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

6 Aug 2026, 14:21 UTC926 views30 reactionsread 7 August 2026
Photo

Инсайдер leo: OpenAI готовятся запустить модель Astra — она может выйти уже на следующей неделе Astra — это новый претрейн, самая крупная модель OpenAI со времён GPT-4.5. По информации, внутренний чекпоинт под кодовым именем «mewfour» уже стал релиз-кандидатом. Подозреваю, ценник тоже окажется выше, чем у текущей Sol. По сути это их ответ на Fable. Кстати, Fable 5.1 ждём в августе, так что Antropic вполне может вык

❤‍🔥19custom 534142949348557451410🔥1

5 Aug 2026, 21:21 UTC≈1,130 views28 reactionsread 7 August 2026

Posted without readable text

😱18❤‍🔥8👍1custom 53458246022390164651

30 Jul 2026, 18:33 UTC≈2,200 views37 reactionsread 7 August 2026
Photo

На OpenRouter, кстати, ещё и дополнительная акция действует — там Luna и Terra в 2 раза дешевле: по $0.1/0.6 и $1/6 соотвественно. Luna дешевле чем DeepSeek V4 Pro! 🫣

custom 534142949348557451428custom 51637265659383014106🔥2custom 57736781374811055041

30 Jul 2026, 17:27 UTC≈1,970 views46 reactionsread 7 August 2026
Photo

OpenAI обвалили цену на 5.6 Luna на 80% — теперь всего $0.2/1.2! Вот это очень мощно, тут не поспоришь. Для сравнения: Haiku от Anthropic стоит $1/5, не обновлялся почти год и уже сильно проигрывает. У Google 3.5 Flash Lite стоит $0.5/2.5. Теперь Luna стоит даже меньше, чем 5.4 nano, а умнее в разы. Это лучший выбор под простые задачи (классификаторы, разметка и т.п) где важна цена, скорость и точность

❤‍🔥21👍10😱8🔥6custom 57736781374811055041

28 Jul 2026, 20:37 UTC≈1,840 views41 reactionsread 7 August 2026
Photo

Opus 5 спустя 5 дней Новым опусом я пользовался очень много начиная с релиза. Модель шикарная, и она войдёт в топ моих любимых моделей за всё время. У меня накопилось несколько советов, которые могут вам помочь. Часть работала и на прошлых клодах, часть очевидная, но проговорить считаю нужным 1) Размышления Лучший режим ризонинга у Opus 5 — high. На нем модель быстрая, экономная и очень умная, я использую его на 90

❤‍🔥23👍8🔥8custom 57736781374811055042

25 Jul 2026, 19:02 UTC≈2,030 views80 reactionsread 7 August 2026
Photo

Спустя долгое использование GPT 5.6 моё мнение о ней поменялось Первые впечатления у меня были отличные, но чем дольше я с ней работаю, тем больше она меня бесит. Промптить 5.6 безумно тяжело. Пользуясь ей, я ощущаю, будто вернулся на два года назад, где надо было писать огромные промпты. Без очень чётких рамок в задаче модель делает гораздо больше, чем ты просил, и это почти никогда не плюс. GPT 5.5 понимала почти

👍42custom 577367813748110550425custom 53414294934855745148custom 51637265659383014103😭2

25 Jul 2026, 08:35 UTC≈2,060 views53 reactionsread 7 August 2026
Photo

Opus 5 добавили на DeepSWE, и там он оказался даже выше, чем показывали сами Anthropic 😳 Версия с max-reasoning набирает 74%, тратит $11.84, и обгоняет 5.6 Sol Max и Fable Max. High отстаёт всего на процент, зато обходится почти вдвое дешевле, $6.08. Удивительно, но это дешевле чем GPT 5.6 Sol Max, а по процентам также Отдельно хочу отметить и Opus 5 Low. Он набирает 58% и кушает всего $1.66, при том что 4.8 max за

❤‍🔥28custom 534142949348557451414🎉8custom 57736781374811055043

24 Jul 2026, 18:09 UTC≈1,810 views53 reactionsread 7 August 2026
Photo

На Artificial Analysis Intelligence и Coding Index новый Opus 5 занял первые места, обогнав Fable 5 и 5.6 Sol ... 😳😳😳 это как

🤯30😱13custom 53458246022390164658😭2

24 Jul 2026, 17:02 UTC≈1,870 views15 reactionsread 7 August 2026
Photo

Вышел Claude Opus 5 Краткая сводка статьи: Anthropic показали Claude Opus 5. Позиционирование: почти уровень Fable 5 по интеллекту, но вдвое дешевле. Новая модель по умолчанию на Claude Max, топовая на Pro. Бенчмарки - SOTA на Frontier-Bench v0.1 (более чем 2× относительно Opus 4.8 при меньшей цене за задачу) и GDPval-AA - CursorBench 3.2: в пределах 0,5% от пика Fable 5 за половину стоимости - ARC-AGI 3: втрое выш

❤‍🔥10🔥5

24 Jul 2026, 16:46 UTC≈1,710 views31 reactionsread 7 August 2026
Photo

Opus 5 выходит сегодня Модель уже начали раскатывать в Claude Code. Что известно на данный момент: 1) Цена осталась прежней 2) Катофф знаний обновили до мая 2026 — у прошлых моделей (начиная с Opus 4.7) был январь 2026. То есть разрыв между релизом и базой знаний всего два месяца. Впечатляет! Подробности ждём в блогпосте, он должен выйти в ближайшие 15–60 минут. Очень ожидаемый релиз. источник

👍16❤‍🔥7🔥3😭3custom 53458246022390164652

21 Jul 2026, 15:56 UTC≈2,140 views39 reactionsread 7 August 2026
Photo

Поднимаю репутацию Google: многие не знают, но по их бесплатному API все live-модели вообще не имеют дневных лимитов! Лимит есть только поминутный, на токены: 65K у 3 Flash Live и 20K у 3.5 Translate, и этого предостаточно для обычного использования. Вы можете установить тот же Translate как расширение для перевода трансляций/видео в реальном времени, и использовать его безлимитно (1 минута видео со звуком кушают ~2

custom 516372656593830141024❤‍🔥8custom 53458246022390164657

21 Jul 2026, 15:42 UTC≈1,920 views21 reactionsread 7 August 2026
Photo

Gemini 3.5 Flash Lite выглядит совсем ненужной моделью От 3 Flash она дешевле всего на ~15%, но в бенчмарках местами хуже вдвое. Единственный реальный плюс — скорость, хотя и 3 Flash была очень шустрой. В общем, так себе релиз, не порадовали 🥲

😭16custom 51637265659383014105

Showing the 12 most recent of 18 posts we hold for @shneural. 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.

Mentions

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.

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

“sh | ИИ” (@shneural), 2,052 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/shneural.

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.