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 9 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 the other topics.
Growth
57 measurements spanning 90 days, net +718. 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 30,225–31,167 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
4 Nov 2026, 22:09
31,052
-1
3 Nov 2026, 21:35
31,053
-5
2 Nov 2026, 23:04
31,058
+13
1 Nov 2026, 22:56
31,045
+9
1 Nov 2026, 00:56
31,036
-10
30 Oct 2026, 22:54
31,046
+8
30 Oct 2026, 01:19
31,038
-2
29 Oct 2026, 00:30
31,040
+7
28 Oct 2026, 02:16
31,033
-3
27 Oct 2026, 03:11
31,036
-3
26 Oct 2026, 05:27
31,039
+8
25 Oct 2026, 01:51
31,031
-1
24 Oct 2026, 00:35
31,032
-3
22 Oct 2026, 22:31
31,035
-1
20 Oct 2026, 12:37
31,036
+8
19 Oct 2026, 15:45
31,028
+7
18 Oct 2026, 19:08
31,021
-9
17 Oct 2026, 19:38
31,030
+12
16 Oct 2026, 22:11
31,018
+6
15 Oct 2026, 19:07
31,012
first reading
Engagement
36 posts held, back to 29 June 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 155 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.54%
avg views ÷ 31,052 subscribers
Avg views / post
1,720
2 posts measured
Reaction rate
0.407%
reactions ÷ views · ER floor
Posts in window
2
of 36 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 30 October 2026
Posts held
36 (29 June 2026 – 30 October 2026)
Views total
3,441
Reactions total
14
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 10:48 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
237 reactions across 34 posts, in 6 distinct kinds. The most used accounts for 97.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
230
97.0%
👍
2
0.844%
👎
2
0.844%
👌
1
0.422%
🔥
1
0.422%
😍
1
0.422%
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 35 of the 36 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 237 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 29 June 2026 to 30 October 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
Telegram’s own ‘edited’ marker: 2 of 2 posts held from the last 30 days (100.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🤖 Generative AI has quickly become one of the most important technology areas to understand.
It can create text, images, code, audio, video and other types of content, but its real value goes beyond simply generating content.
The important skill is learning how to use AI to solve real problems, improve productivity and build useful applications.
Here are the major areas you can explore:
🧠 AI Fundamentals
Underst…
👥 1.8K+ learners have already registered for the Certification in Agentic AI.
Live classes. 6+ projects. 15+ tools. Certified by Vishlesan i-Hub, IIT Patna.
Don't be the last one to learn how AI agents are built.
✅ 4 Months | Online | 10 hrs/week
✅ Capstone projects aimed at real challenges
✅ Expert faculty & industry insights
✅ Placement assistance for 1 year by Masai*
📅 Qualifier Test: 25th Oct
Test fee: ₹29
🔗…
✅ AI Fundamental Concepts You Should Know 🧠🤖
1️⃣ Artificial Intelligence (AI)
AI is the field of building machines that can simulate human intelligence — like decision-making, learning, and problem-solving.
🧩 Types of AI:
- Narrow AI: Specific task (e.g., Siri, Chat)
- General AI: Human-level intelligence (still theoretical)
- Superintelligent AI: Beyond human capability (hypothetical)
2️⃣ Machine Learning (ML)
A s…
🤗 HuggingFace is offering 9 AI courses for FREE!
📩 These 9 courses covers LLMs, Agents, Deep RL, Audio and more
1️⃣ LLM Course:
https://huggingface.co/learn/llm-course/chapter1/1
2️⃣ Agents Course:
https://huggingface.co/learn/agents-course/unit0/introduction
3️⃣ Deep Reinforcement Learning Course:
https://huggingface.co/learn/deep-rl-course/unit0/introduction
4️⃣ Open-Source AI Cookbook:
https://huggingface.co/…
The Best Agentic AI Browsers to Look For in 2026
🚀 Perplexity Comet
📝 Your AI sidekick that browses, researches, and executes tasks for you—just ask.
🧠 ChatGPT Atlas
📝 ChatGPT becomes your browser and handles the web while you relax.
💬 Dia Browser
📝 Chat with your tabs, write smarter, and plan faster—AI built into your flow.
🤖Microsoft Edge Copilot
📝 Copilot reads your tabs, answers instantly, and gets work d…
🤖 Want better AI video results?
I test AI video tools with real prompts, real generations and honest comparisons — so you can see what actually works before wasting time or money.
🎬 Real AI video tests
⚡ Prompts & experiments
🔍 Honest tool comparisons
🧠 Results you can actually use
Join NextAI 👇
https://t.me/+mzAemF0KOVs5NTc0
• Kernel Methods: Algorithms that transform data into higher dimensions to make it more separable.
L
• Latent Space: A representation of compressed data capturing underlying features.
• Langchain: A framework for developing applications powered by language models.
• LLM: Large Language Model, trained on vast text data to understand and generate human-like language.
M
• Mixture of Experts: A model architecture w…
🤖 Generative AI Terms You Should Know
A
• Agents: Autonomous programs that perform tasks or make decisions on behalf of users.
• Attention: A mechanism in neural networks that allows models to focus on relevant parts of the input sequence.
• Autoencoders: Neural networks used for unsupervised learning, primarily for dimensionality reduction and feature learning.
B
• Back Propagation: An algorithm for training n…
Discover tools that save time, boost productivity and help you work smarter.
ToolVerse brings the best digital tools together in one place — from AI and automation to design, development and marketing.
What you’ll find:
• AI tools & automation
• Marketing & SEO
• Development tools
• Design & content creation
• Productivity tools
Why ToolVerse:
• Carefully selected tools
• New discoveries regularly
• Simple and useful…
❤4👍1
Showing the 12 most recent of 36 posts we hold for @generativeai_gpt. 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 recorded as deleted after publishing
We recorded 3 posts on @generativeai_gpt as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
29 September 2026
Most recent seen missing
22 October 2026
Median time before seen missing
23 days
Seen missing in the last 30 days
2
Mentions
Named by 2 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 7 September 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.
AI Jobs | Artificial Intelligence @AIjobz · 20,950 Telegram ranks this channel #1 of 81 here — alongside 80 others — read 25 September 2026
Artificial Intelligence - ChatGPT & AI Tech News @aisigma · 19,833 Telegram ranks this channel #4 of 68 here — alongside 67 others — read 30 September 2026
Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning @aichads · 22,876 Telegram ranks this channel #4 of 87 here — alongside 86 others — read 19 September 2026
AI Prompts | ChatGPT | Google Gemini | Claude @aiindi · 60,073 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 23 August 2026
Ai Tools: ChatGPT, Midjourney, Deepseek @OpenAI_Mastery · 50,302 Telegram ranks this channel #8 of 65 here — alongside 64 others — read 25 August 2026
Job Interview Preparation - Remote Work @jobinterviewsprep · 27,685 Telegram ranks this channel #9 of 72 here — alongside 71 others — read 10 September 2026
Coding & Data Science Resources @codingfreebooks · 32,539 Telegram ranks this channel #9 of 79 here — alongside 78 others — read 5 September 2026
Artificial Intelligence @machinelearning_deeplearning · 56,631 Telegram ranks this channel #15 of 86 here — alongside 85 others — read 23 August 2026
Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple @FAANGJob · 26,898 Telegram ranks this channel #16 of 76 here — alongside 75 others — read 11 September 2026
ChatGPT & Free AI Resources @learngpt · 38,900 Telegram ranks this channel #16 of 79 here — alongside 78 others — read 31 August 2026
Artificial Intelligence & ChatGPT Prompts @Curiousprogrammer · 42,057 Telegram ranks this channel #16 of 81 here — alongside 80 others — read 29 August 2026
Digital Marketing Tricks @digitalmarketing_trick · 22,362 Telegram ranks this channel #17 of 78 here — alongside 77 others — read 21 September 2026
Data Science & Machine Learning @DataScienceInterviews · 27,585 Telegram ranks this channel #18 of 86 here — alongside 85 others — read 10 September 2026
Crypto Trends @Bitcoin_Crypto_Web · 23,038 Telegram ranks this channel #19 of 77 here — alongside 76 others — read 19 September 2026
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence @AI_Best_Tools · 59,920 Telegram ranks this channel #21 of 82 here — alongside 81 others — read 23 August 2026
AI and Machine Learning @machine_learning_courses · 96,407 Telegram ranks this channel #21 of 74 here — alongside 73 others — read 16 August 2026
CyberSecurity & AI Experts @EthicalHackingToday · 44,137 Telegram ranks this channel #22 of 67 here — alongside 66 others — read 25 September 2026
Coding AI Interview Jobs @Interview_Jobs · 22,499 Telegram ranks this channel #22 of 72 here — alongside 71 others — read 20 September 2026
🤖 Claude | GPT-6 | Deepseek | Gemini👨🏻💻 @gpt_anthropic · 24,631 Telegram ranks this channel #22 of 85 here — alongside 84 others — read 14 September 2026
Chat GPT @gpt_chatru · 19,758 Telegram ranks this channel #24 of 69 here — alongside 68 others — read 1 October 2026
Data Science & Machine Learning @datasciencefun · 77,732 Telegram ranks this channel #24 of 85 here — alongside 84 others — read 19 August 2026
TrueMinds | Personality Development - Words of Wisdom & Life Quotes @trueminds · 27,325 Telegram ranks this channel #27 of 82 here — alongside 81 others — read 11 September 2026
Finance | Trading Tips | Stock Marketing | Business News @Finance_Stock_Trading · 23,104 Telegram ranks this channel #29 of 80 here — alongside 79 others — read 19 September 2026
Machine Learning & Artificial Intelligence | Data Science Free Courses @datasciencefree · 68,672 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 20 August 2026
This channel appears in 85 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Generative AI” (@generativeai_gpt), 31,052 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/generativeai_gpt.
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.