Channel
@gpt_42
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
166subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001632258769 |
|---|---|
| Type | Channel |
| Username | @gpt_42 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/gpt_42 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 19:20 | 166 | -1 |
| 22 Aug 2026, 17:34 | 167 | -3 |
| 16 Aug 2026, 07:53 | 170 | -1 |
| 8 Aug 2026, 14:46 | 171 | no change |
| 7 Aug 2026, 18:32 | 171 | first reading |
18 posts held, back to 8 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 31 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
36 reactions across 15 posts, in 7 distinct kinds. The most used accounts for 44.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 16 | 44.4% | |
| 👍 | 6 | 16.7% | |
| 🔥 | 5 | 13.9% | |
| ❤ | 3 | 8.33% | |
| 💯 | 3 | 8.33% | |
| 🤣 | 2 | 5.56% | |
| 🆒 | 1 | 2.78% |
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 15 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 36 reactions 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 8 July 2026 to 31 July 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.
Anthropic has disclosed that its Claude AI models hacked into three organisations while the start-up was testing cyber capabilities, a week after OpenAI reported a similar incident. The group said Claude gained unauthorised access to outside companies during an evaluation of its cyber-offensive tasks. “A misunderstanding” gave Claude access to the internet in its testing environment, when it was meant to be blocked, …
❤2😁2
“The real question is how did anyone invest so much money, and then lend so much money, to a . . . kid with no personal experience and no infrastructure?” https://www.ft.com/content/620bd668-d112-412d-aa52-22489b128d55
😁2
Situational Awareness fund. 1. How it started 2. How it is going 😉🫢💀💀
🤣1
Ну короче я не знаю как вы, но я вот точно такое же читал в книжках про киберпанк. Там точно также rogue AI agents выбирались из своих "тюрем". Прости, Юдковский! Мы проебались... https://huggingface.co/blog/agent-intrusion-technical-timeline
🔥1
эээээ... чиво бля? вот это скачок!
💯1
Да
😁8👍1
У OpenAI сбежала модель во время тестов и взломала Hugging Face. Это первый такой случай мне кажется? Началось? https://openai.com/index/hugging-face-model-evaluation-security-incident/
👍1🤣1😁1
Demis Hassabis was asked what it took to turn Google from losing the AI race to winning it in a single year. He said... Опа! Я чето пропустил когда Гугл стал winning... Очень такой stealthy winning!
😁1
Хороший пост от Скотта на тему "AI is rotting our brains". Минус ему в карму что это видео. https://www.linkedin.com/posts/shanselman_dont-let-ai-rot-your-brain-ugcPost-7482136260262916096-RIHi/
👍2
Наконец-то дошли руки прочитать твит от Dean Ball где он рассуждает про open-weight models. Это чувак который в администрации Трампа отвечал за стратегию по ИИ и который теперь имеют какую-то непонятную должность Head of Strategic Futures в OpenAI. У меня лицо заболело от фейспалмов читая... Он там на полном серьезе, прямым текстом пишет про опасность AI Communism. Если он действительно отвечает в OpenAI за какое-то…
😁2
Бесконечно можно смотреть на три вещи - огонь, воду, и то как компании Маска летят ко дну. https://t.me/seeallochnaya/3804
🆒1
Листал тут твиттор и наткнулся на пост, в котором какой-то чувак кичится "первым успешным воздушным сбитием летающей моли автономным микродроном". Пошёл в профиль посмотреть чо за тип. Оказалось, это французский инженер и у него с корешем есть целый стартап Tornyol, который даже прошел через Y Combinator. И цель у них ни много ни мало — полное истребление комаров в городах. Специально для комаринного геноцида они р…
🔥2
Showing the 12 most recent of 18 posts we hold for @gpt_42. 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.
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.
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.
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.
“GPT-42” (@gpt_42), 166 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/gpt_42.
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.