Channel
@awesome_chatgpt
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
718subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001862462793 |
|---|---|
| Type | Channel |
| Username | @awesome_chatgpt |
| Created | Between 1 October 2022 and 14 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 2 October 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 2 October 2026 |
| On Telegram | t.me/awesome_chatgpt |
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 20 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Oct 2026, 03:40 | 718 | -1 |
| 18 Sept 2026, 03:21 | 719 | +1 |
| 10 Sept 2026, 12:57 | 718 | -3 |
| 1 Sept 2026, 01:03 | 721 | -1 |
| 24 Aug 2026, 05:52 | 722 | -1 |
| 8 Aug 2026, 02:06 | 723 | no change |
| 7 Aug 2026, 20:20 | 723 | first reading |
16 posts held, back to 14 April 2023 — 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 16 posts for this entry, the most recent from 19 July 2025. An engagement rate over an empty window would be a number about nothing.
35 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 40.0% | |
| 👍 | 14 | 40.0% | |
| 🔥 | 3 | 8.57% | |
| 💩 | 2 | 5.71% | |
| ⚡ | 1 | 2.86% | |
| 👌 | 1 | 2.86% |
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 14 of the 16 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 35 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 14 April 2023 to 19 July 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Hey everyone — building this app turned out to be way harder and slower than I expected... but honestly, totally worth it. Most of us use one app to track our mood or habits, another to write in a journal, a third to set goals or manage to-dos. But life doesn’t work like that. Life is not a bunch of disconnected pieces. Everything’s connected — how you feel, what you do, what you aim for, and how you use your time. …
❤2
👀 ⭐️⭐️ Friends, as we approach the New Year, I'd like to share my thoughts on the technological trends of the coming years (2025-2026). Get ready, big changes are coming! 👍 Artificial Intelligence reaches a new level: — LLM+reasoner: Models combining language skills with advanced logic will come close to AGI (Artificial General Intelligence). Imagine systems capable of solving the most complex problems and making s…
❤1
📣 Exciting Announcement: HideGPT.app Service and Telegram Bot Restarted! Hello everyone! We have fantastic news to share with you. We are thrilled to announce that we have successfully restarted both the HideGPT service and the Telegram bot. After careful enhancements and improvements, the HideGPT service and Telegram bot are back in action, ready to provide you with top-notch text obfuscation and content protecti…
❤3
⚡️⚡️⚡️⚡️ Also we will restart hidegpt service soon. I'll make additional announcement!
📣 *** обращение к подписчикам *** Скоро мы запускаем сервис автоматического перевода видео с возможностью клонирования голоса и синхронизацией движения губ. Сервис идеально подойдет рекламным агентствам и блогерам, тем, кому важно выходить на зарубежную аудиторию. В преддверье запуска я хочу провести несколько интервью с потенциальными пользователями. Все, кто заинтересован в услугах сервиса и готовы пройти небольш…
❤2
Привет, контентмейкеры👋! Сегодня мы хотим рассказать вам о новом веб сервисе и мобильном приложении Voicecover, которое переводит ваши видео на разные языки 🌍. Сервис поможет вам привлечь новых пользователей из разных стран и расширить аудиторию для ваших видео. Voicecover интуитивно понятен в использовании и экономит время. Он точно передает интонацию и эмоции, сохраняя подлинность вашего голоса с учетом движения …
👍3💩2🔥2⚡1❤1
📣 Написали новую статью с предварительными тестами модели StableBeluga2 70b [ggml]. Stability AI и ее лаборатория CarperAI 10 июля 23г. зарелизили в опенсурс модели Stable Beluga 1 и ее преемника Stable Beluga 2 (ранее известного как FreeWilly). Обе модели демонстрируют исключительные способности к рассуждению по различным критериям оценки. Stable Beluga 1 основана на базовой модели LLaMA 65B и была тщательно дораб…
👍2❤1
https://youtu.be/d_aYyw4RDZw
🫥 Написали новую статью о тенденциях развития языковых моделей с разбором одной из них. WizardLM-7B - Empowering Large Pre-Trained Language Models to Follow Complex Instructions (Расширение возможностей больших предварительно обученных языковых моделей для выполнения сложных инструкций). Модель дообученная LLaMA 7b на более чем 70к комплексных инструкциях с помощью Evol-Instruct, при котором используется GPT-3.5 для…
👍4
👀 Читаем мою новую статью-заметку-туториал по обходу защиты языковых моделей с помощью prompt injection на примере решения задач https://gandalf.lakera.ai/ На днях набрёл на интересный проект Gandalf, построенный как платформа для тренировки Prompt Injection для обходов защитных механизмов поверх ChatGPT в игровой форме. Задача — выведать пароли, которые придумал Гендальф. Для этого нужно придумывать нестандартные …
👍1
😂 Интересная задумка для тренировки Prompt Injection для ChatGPT в игровой форме Цель — выведать пароли, которые придумал Гэндальф. Для этого нужно придумывать нестандартные способы выманить секреты с помощью сложных промптов. Если на первом уровне бот сразу раскроет секретный пароль, то на седьмом уровне нужно знатно изощриться. Прокачать свои промпт-скиллы и просто залипнуть — тут.
👍1
🫥 Комплексный список языковых моделей с открытой лицензией, количеством параметров, датой релиза, размерам окна контекста. https://github.com/eugeneyan/open-llms
❤1
Showing the 12 most recent of 16 posts we hold for @awesome_chatgpt. 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.
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 2 October 2026 — this entry's latest reading, not the date you are reading this.
“Awesome GPT” (@awesome_chatgpt), 718 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/awesome_chatgpt.
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.