Самый познавательный канал о новых технологиях, крипте и ChatGPT.
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#технологии #крипта #ИИ #ChatGPT
Created
Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 7 of the 21 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 23 comparable posts for this entry, running 30 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 3, the earliest publisher we hold is @hiaimedia. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
33 measurements spanning 42 days, net -40,603. 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 347,851–400,634 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 06:39
353,941
-1,847
15 Sept 2026, 04:21
355,788
-1,383
13 Sept 2026, 14:59
357,171
-1,793
11 Sept 2026, 17:41
358,964
-2,136
9 Sept 2026, 03:40
361,100
-3,482
5 Sept 2026, 18:01
364,582
-2,329
3 Sept 2026, 17:42
366,911
-1,183
2 Sept 2026, 08:13
368,094
-1,695
1 Sept 2026, 07:06
369,789
-1,017
31 Aug 2026, 06:08
370,806
-1,097
30 Aug 2026, 05:17
371,903
-646
29 Aug 2026, 08:32
372,549
-1,286
28 Aug 2026, 05:38
373,835
-609
27 Aug 2026, 07:34
374,444
-847
26 Aug 2026, 05:15
375,291
-800
25 Aug 2026, 05:54
376,091
-1,194
24 Aug 2026, 05:12
377,285
-1,632
22 Aug 2026, 14:06
378,917
-1,064
21 Aug 2026, 08:08
379,981
-782
20 Aug 2026, 09:52
380,763
first reading
Engagement
134 posts held, back to 30 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 99 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.05%
avg views ÷ 353,941 subscribers
Avg views / post
21,400
92 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
92
of 134 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
Window
Rolling 30 days · latest post in window 22 September 2026
Posts held
134 (30 July 2026 – 22 September 2026)
Views total
1,968,664
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Sept 2026, 06:58 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
677
Videos
277
Links
89
Lifetime counters from Telegram’s own channel header, read 23 September 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
42m 40s
Average length
54s
Measured directly from 47 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.
🙂 OpenAI тоже с новым релизом вслед за Anthropic: вышли GPT-6 Sol и Luna.
Модели вдвое дешевле поколения 5.6, но не стали сильнее Astra — она все еще остается флагманом.
Luna вскоре станет доступна даже бесплатным пользователям ChatGPT.
🙂 Вышел Claude Opus 5.5. Модель стала на 20% дешевле по API, а за счет большей эффективности стоимость оказывается на 40% ниже Opus 5.
По бенчмаркам модель лучшая в семействе Claude, но слегка уступает GPT-6 Astra в самых сложных тестах на агентность.
Уже раскатывают для платных подписчиков Claude.
🎧 Сотрудники Valve пять месяцев слушали, как Гейб Ньюэлл учился монгольскому горловому пению. О необычном увлечении главы компании рассказал создатель Counter-Strike Минь Ле.
По его словам, после одной документалки Гейб почти каждый день регулярно практиковался прямо в офисе.
«Он делал это каждый день. Люди начали закрывать свои двери. Думаю, это продолжалось около пяти месяцев», — сказал Ле.
💰 Sony запатентовала технологию оплаты картой прямо через геймпад PlayStation.
Чтобы оплатить игру или DLC через PS Store достаточно будет поднести телефон или карту к контроллеру. Правда, как именно будет обрабатываться транзакция и подтверждаться личность платящегося в патенте не указывается.
Finally, pay-to-win.
✏️ Alibaba выпустили «ИИ-фотошоп» Qwen-Image-2.1 (спустя два месяца после версии 3.0).
Новая модель — облегченная и быстрая нейросеть уровня Nano Banana 2 с открытыми весами. Всего 7 млрд параметров — для локального запуска хватит даже базовой видеокарты вроде RTX 4060.
➡️ Попробовать бесплатно можно на Hugging Face.
⏳ Жестокий ИИ-будильник придумали в Китае. Когда он звенит, у пользователя есть минута, чтобы проснуться и решить 20 примеров на сложение и вычитание.
Если не успеть, приложение начнет бездумно сжигать токены на GPT-6 Astra — выйдет около $20 за минуту сна.
🗳 Жириновский Трамп предложил переименовать ИИ.
Термин «искусственный интеллект», по словам президента США, многие считают неточным по отношению к технологии. Поэтому он предлагает своим подписчикам выбрать альтернативу: Превосходный Интеллект (Superior Intelligence), Крайний Интеллект (Extreme Intelligence) или Высший Интеллект (Supreme Intelligence).
Ну, хотя бы не «Американский Интеллект»...
А что ближе вам?
❤…
📱 Новый глава Apple по железу Том Мариеб заявил, что его «передергивает» при виде защитных пленок на экранах iPhone.
«Лично меня передергивает, когда я вижу, как кто-то наклеивает защитную пленку на свой iPhone, потому что мы так усердно работаем над созданием красивых передних экранов», — признался он в интервью.
По словам Мариба, Apple долго добивалась, чтобы экран одновременно держал царапины и не стирался от еж…
🌐 Автоматы для сжатия одежды тестируют в японских аэропортах.
Стартап SJOY предлагает бесплатно спрессовать вещи в кубик, который занимает около 15% от изначального объема одежды. Весь процесс занимает около минуты, а в обычную форму вещи возвращаются примерно за 15 минут или после стирки.
В начале года киоски протестировали в нескольких аэропортах, массовый запуск планируют на 2027 год.
Пользовались бы таким авто…
📌 ИИ-детектор Pangram теперь может проверять на слоп вашу почту.
Сервис можно подключить к Gmail и детектор будет помечать письма в ящике как «ИИ», «Человеческие» или «Смешанные».
При этом разработчики подчеркивают, что платформа не получает мета-данные о собеседниках или теме письма.
➡️ Подключить можно здесь.
Доверяете ИИ-детекторам?
❤️ — да, проверяю тексты
🔥 — нет, они не работают
🔄 Anthropic построили биолабораторию в Калифорнии.
В ней стартап собирается применять ИИ для исследования лечения редких заболеваний в настоящей «мокрой» лаборатории и обучать Claude автономно управлять роботами для проведения экспериментов.
Глава отдела наук о жизни Anthropic Эрик Каудерер-Абрамс описывает подход как «типичный для большинства биотех компаний».
Да, вы совершенно правы, не стоило делать этот штамм …
Showing the 12 most recent of 134 posts we hold for @picardia_ecosystem. 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
Named by 7 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.
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.
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.
Read from Telegram’s recommendation API, most recently 25 August 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.
CHED @gigched · 246,129 Telegram ranks this channel #46 of 59 here — alongside 58 others — read 25 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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.
“Технологии и ChatGPT” (@picardia_ecosystem), 353,941 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/picardia_ecosystem.
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.