Telegram RegisterThe public register of Telegram

Channel

Технозаметки Малышева

@tsingular

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

11,734subscribers

+7 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001884458659
TypeChannel
Username@tsingular
DescriptionНовости инноваций из мира Искусственного Интеллекта. 🤖 [РКН: 7021469833 ] Всё об ИИ, ИТ трендах и Технологической Сингулярности. 🤖: @ai_gptfreebot [бесплатный бот] ✍️: @tsingular_bot [каталог ботов и курсов] 💸: https://pay.cloudtips.ru/p/c8960bbb
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/tsingular

Growth

11,72711,73411,730.56 August 2026 — 11,727 subscribers7 August 2026 — 11,728 subscribers8 August 2026 — 11,729 subscribers8 August 2026 — 11,730 subscribers10 August 2026 — 11,731 subscribers11 August 2026 — 11,728 subscribers12 August 2026 — 11,730 subscribers13 August 2026 — 11,734 subscribers6 August 202613 August 2026
8 measurements spanning 7 days, net +7. 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 11,726–11,735 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 02:3411,734+4
12 Aug 2026, 01:1511,730+2
11 Aug 2026, 01:0311,728-3
10 Aug 2026, 02:3211,731+1
8 Aug 2026, 23:3011,730+1
8 Aug 2026, 02:4611,729+1
7 Aug 2026, 01:3111,728+1
6 Aug 2026, 12:0311,727first reading

Engagement

45 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.0%
avg views ÷ 11,734 subscribers
Avg views / post
1,760
45 posts measured
Reaction rate
1.39%
reactions ÷ views · ER floor
Posts in window
45
of 45 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 13 August 2026
Posts held45 (5 August 202613 August 2026)
Views total79,046
Reactions total1,101
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 03:55 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
5,040
Videos
1,870
Links
5,040

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
2h 08m
Average length
8m 32s

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

1,101 reactions across 45 posts, in 29 distinct kinds. The most used accounts for 24.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥27324.8%
😁23421.3%
1039.36%
💯726.54%
👍665.99%
615.54%
🤔585.27%
464.18%
🤣373.36%
custom 5226748837275641387292.63%
😢282.54%
🤯282.54%
🆒100.908%
🎉80.727%
custom 545878296367832217970.636%
🏆60.545%
custom 523147540154024795950.454%
🗿50.454%
❤‍🔥40.363%
👀40.363%
9 further kinds171.54%

Custom emoji. 3 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 45 of the 45 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 1,101reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 5 August 2026 to 13 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
5
across the posts below
Posts paid on
1
of 45 we hold a reading for · 2%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tsingular. 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 45 most recent posts we hold for this entry, published 5 August 2026 to 13 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

13 Aug 2026, 03:02 UTC239 views2 reactionsread 13 August 2026
Video

Профили Hermes теперь портативны и доступны для обмена: Выполните команду /export, чтобы сохранить профиль в виде одного файла с удаленными учетными данными: навыки, память, персона, cron-задачи, плагины, настройки, темы рабочего стола и макеты. Затем команда /import загружает файл профиля, и ваша настройка готова к работе. #Hermes #update ------ @tsingular

👍2

12 Aug 2026, 22:44 UTC517 views13 reactionsread 13 August 2026
Forwarded from @cryptoEssayPhoto

Новый Grok примерно такой же как Fable но почти на 90% дешевле. Планируйте ваш бизнес и вашу карьеру из расчета на то, что ИИ будет дешеветь в 2-10 раз в год, а модели будут улучшаться в в 2-100 раз (особенно и в первую очередь в verifiable domains).

🔥7321

12 Aug 2026, 18:25 UTC≈1,160 views24 reactionsread 13 August 2026
Forwarded from @ai_machinelearning_big_dataPhoto

🔥 Сразу три релиза за день: Qwen 3.8, DeepSeek V4 Pro и Grok 4.6 • Qwen3.8-2.4T-A95B - Qwen открыла веса своего самого большого монстра. 2,4 трлн параметров, 95B активных, 512 экспертов и контекст до 1 млн токенов. По eval команды, Qwen3.8-Max получает 86,6 на TerminalBench 2.1 и 93,0 на PaperBench, уже вплотную заходя на территорию закрытых frontier-моделей. • DeepSeek V4 Pro 0813 - финальная Pro-версия появилась

🔥18🎉41custom 54587829636783221791

12 Aug 2026, 17:46 UTC≈1,160 views20 reactionsread 13 August 2026
Forwarded from @ai_newzPhoto

Веса Qwen 3.8 Max вышли в открытый доступ Это модель на 2.4 триллиона параметров, с 95B активных. Официальные веса распространяются в bf16 и весят 5 терабайт, но уже есть нормальные NVFP4 и MXFP4 версии. Для запуска нужна одна нода с B300/MI355x или несколько нод с картами попроще. На визуальных VLM задачах по личному опыту, она тащит вроде бы даже лучше чем закрытые фронтир модели. Китайцы - вперед! SGLang Cookb

10🔥8🏆2

12 Aug 2026, 12:58 UTC≈1,500 views26 reactionsread 13 August 2026
Video

Зарисовки из прошлого или из будущего, кто знает Там за речкой тихоструйной Есть высокая гора, В ней глубокая нора; В той норе, во тьме печальной, ЦОД качается хрустальный На цепях между столбов. Не видать ничьих следов Вкруг того пустого места, В ЦОДе том резерву место #юмор #мысли #ЦОД ——— @tsingular

😁13🆒531🎃1👍1👏1🔥1

12 Aug 2026, 11:38 UTC≈1,380 views12 reactionsread 13 August 2026
Forwarded from @data_analysis_mlPhoto

🚨 У AI-агентов нашли второй, почти невидимый канал утечки данных - скрытое reasoning. Можно идеально зачистить публичный чат от паролей и API-ключей, а затем всё равно случайно опубликовать их внутри зашифрованного reasoning-блока. Исследователи разобрали архитектуру API Anthropic, OpenAI и Google. Эти сервисы могут возвращать клиенту непрозрачные блоки с reasoning, чтобы потом передавать их обратно в следующих зап

🤯543

12 Aug 2026, 10:11 UTC≈1,600 views47 reactionsread 13 August 2026

А интересная мысль тут проскочила, - всем кто переживает, что ИИ пишет код, а люди не пишут код, стоит вспомнить, что разрабы уже лет 20 как не пишут код, а, в основном, копируют готовые функции, модули или пакеты, которые написаны до них, а они лишь оборачивали вызов этих функций и пакетов в "промпты с контекстом". похоливарим? :) #мысли #вайбкодинг ——— @tsingular

😁26💯9🔥5👌3🗿211

12 Aug 2026, 09:54 UTC≈1,730 views19 reactionsread 13 August 2026
Forwarded from @data_analysis_mlPhoto

AI 2027 всё меньше похож на фантастику. Из 24 прогнозов развития ии, опубликованных в 2025 году, уже 19 в той или иной форме сбылись. А самые интересные пункты там ещё впереди. Авторы ожидали, что к концу 2026 года дешёвые и достаточно сильные ИИ-агенты начнут вытеснять junior-разработчиков и заметно менять рынок труда. Следующий этап - 2027 год: сверхсильные coding-агенты автоматизируют уже само исследование ИИ,

💯13🔥321

12 Aug 2026, 07:24 UTC≈2,250 views30 reactionsread 13 August 2026
Video

Grok Imagine в то же время умеет даже в ритм попадать. ИМБА, конечно #Grok #Imagine #нейрорендер ——— @tsingular

🔥21🤔521🏆1

12 Aug 2026, 07:16 UTC≈2,090 views15 reactionsread 13 August 2026
Video

LTX-2.5 пайплайн генерации с Гермесом ⚡️ В общем вчера Lightricks выкатили LTX-2.5 — модель генерации видео по тексту и изображению и я решил попробовать его на своём М5, настроив его с помощью с Гермеса. 📦 В порядке эксперимента собрали пайплайн последовательной генерации (исходник в комментарии): chain_i2v.py берёт исходное изображение (генерация в OpenAI (gpt-image-2)) и три промпта, каждый из которых описывает

👍852

12 Aug 2026, 06:40 UTC≈1,740 views10 reactionsread 13 August 2026
Photo

Еще один навык памяти для агентов. В том числе для Гермеса. Очень много всего намешано, я бы разделил по смыслу и ролевой модели. Тут скорее версия для персонального ассистента. https://x.com/i/status/2086811795084202439 Но почитать интересно полный текст в комментарии #навыки #память ------ @tsingular

👍81🆒1

11 Aug 2026, 19:02 UTC≈1,650 views17 reactionsread 13 August 2026
Forwarded from @cgeventVideo

Ответочка от LTX: вышел LTX-2.5 Пока все дружно курочат H3, LTX выкатывает LTX-2.5 - новую открытую 22B video/audio world model. Апдейт довольно жирный: полностью новый diffusion video decoder с меньшим количеством артефактов в движении, улучшенный distilled-чекпойнт, расширенный датасет + RL и новый Gemma 4 12B в качестве текстового энкодера с отдельным prompt enhancer. Модель лучше понимает сложные промпты и сама

🔥12311

Showing the 12 most recent of 45 posts we hold for @tsingular. 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.

Posts edited after publishing

@tsingular 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
13 August 2026
Most recent edit
13 August 2026

Citation-graph rank

Citation-graph rank — 37,282 of 1,160,990entries 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

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 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

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

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

“Технозаметки Малышева” (@tsingular), 11,734 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/tsingular.

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.