Media from the creators of @GPT4Telegrambot — 25 million users worldwide. We write about AI and the people behind it.
For all questions: @anveklich
News of the bot: @GPT4Telegram
Media in Russian: @hiaimedia
Created
Between 1 March 2023 and 31 January 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.
Growth
35 measurements spanning 43 days, net -5,613. 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 563,737–571,147 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
18 Sept 2026, 06:20
564,679
-399
15 Sept 2026, 21:57
565,078
-121
14 Sept 2026, 06:00
565,199
+256
12 Sept 2026, 14:58
564,943
+351
10 Sept 2026, 11:36
564,592
-52
7 Sept 2026, 06:40
564,644
-189
4 Sept 2026, 12:36
564,833
-250
3 Sept 2026, 02:18
565,083
-162
1 Sept 2026, 22:55
565,245
-88
1 Sept 2026, 00:16
565,333
-168
30 Aug 2026, 23:49
565,501
-41
29 Aug 2026, 23:07
565,542
+6
29 Aug 2026, 00:32
565,536
-139
27 Aug 2026, 22:27
565,675
-209
26 Aug 2026, 22:03
565,884
-189
25 Aug 2026, 20:33
566,073
-387
24 Aug 2026, 19:34
566,460
-343
23 Aug 2026, 05:23
566,803
+141
21 Aug 2026, 16:45
566,662
-438
20 Aug 2026, 16:43
567,100
first reading
Engagement
115 posts held, back to 27 July 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 106 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.68%
avg views ÷ 564,679 subscribers
Avg views / post
15,100
61 posts measured
Reaction rate
0.387%
reactions ÷ views · ER floor
Posts in window
61
of 115 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 26 September 2026
Posts held
115 (27 July 2026 – 26 September 2026)
Views total
922,620
Reactions total
3,573
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 19:26 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
≈1,810
Videos
≈894
Links
≈1,630
Lifetime counters from Telegram’s own channel header, read 26 September 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
18m 44s
Average length
49s
Measured directly from 23 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
7,848 reactions across 113 posts, in 45 distinct kinds. The most used accounts for 50.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,969
50.6%
🔥
1,814
23.1%
🤣
625
7.96%
🤔
512
6.52%
👍
315
4.01%
😭
82
1.04%
🙏
48
0.612%
👏
46
0.586%
🐳
45
0.573%
👀
43
0.548%
🤷♀
32
0.408%
🫡
32
0.408%
😁
21
0.268%
⚡
19
0.242%
🤪
19
0.242%
🤯
19
0.242%
🤨
18
0.229%
💔
17
0.217%
🎉
15
0.191%
🎃
14
0.178%
25 further kinds
143
1.82%
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 115 of the 115 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 7,955 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 115 most recent posts we hold, published 27 July 2026 to 26 September 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
2
across the posts below
Posts paid on
2
of 115 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hiaimediaen. 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 115 most recent posts we hold for this entry, published 27 July 2026 to 26 September 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.
🔴 Suno v6 Is Now Live on @GPT4Telegrambot
Suno has released v6, its first models trained on licensed music. They were built together with the major labels the startup was suing not long ago.
The "cleaner" dataset hasn't hurt the quality, though: v6 captures style well and makes hits in many genres.
How to create your own track:
1️⃣ Go to @GPT4Telegrambot
2️⃣ Select Music Generation → Suno → Custom Mode.
3️⃣ Descr…
🎧 Player Complained About "Awful AI Voice Acting." It Was the Developer's Wife
A Steam user played indie game Luminary for just 24 minutes before leaving a negative review. One character's voice sounded AI-generated to them: "The awful AI-generated voice killed it."
"While my wife might not be the greatest voice actress out there (that was her first time), I can assure you she is a real person and not AI haha," gam…
🎓 Tutoring Centers Are Giving In to AI
The Australian Dymocks is closing five Sydney tutoring centers after struggling to compete with AI. Company director Mark Buckland says the technology has made the business model unsustainable.
"Most of our customers would be better off using their hard-earned cash on cheaper solutions rather than simply paying for overpriced tutoring," Buckland frankly admits.
An AI subscrip…
❤️ AI Helps Find Lost Cats
Since 2025, Kazakhstan has been running a project called loCATor.
Volunteers fit their outdoor cats with a camera and a GPS tracker. The camera films every cat they meet along the way, and an AI compares them with a database of missing pets. If there's a match, the owner gets a notification in the Telegram bot with the coordinates where their cat was spotted.
The bot was originally built…
🤖 Claude Discovered a System Resembling CRISPR
Claude autonomously discovered a novel enzyme system with an array of DNA repeats, similar to CRISPR—a bacterial immune mechanism that scientists use as "scissors" for genome editing.
This is the first result from Anthropic's new biolab, where humans test AI hypotheses experimentally.
🔍 Scientists tasked Claude with finding unusual reverse transcriptases—enzymes that …
🤖 GPT-6 Astra Can Drive a Car
The creators of DrivingBench connected several frontier language models to a real 2022 Toyota Corolla and gave them control over the steering wheel, accelerator, and brakes. GPT-6 Astra performed the best: on its second attempt, it completed the entire 134.7-meter cone course in 5 minutes and 22 seconds.
👨💻 The model received images from the car's cameras along with telemetry data, th…
💰 Singapore Residents Get Paid to Read Books
Singapore has launched a five-year national program called ReadSG, where residents get paid to read books.
To participate, people must read for at least 15 minutes a day and log their reading on the government platform.
For each session counted, participants receive 20 virtual coins—worth 2 Singapore cents.
It's unlikely one gets rich from reading—only one 15-minute se…
✈️ AI Machine Creates Soda in Any Flavor
YouTuber Luke Creatives built an AI soda machine that can mix a drink in almost any flavor, even one that doesn't exist.
It has 19 base flavors inside, which create about 524,000 combinations. At first, the author planned to use 20 base flavors—which would have given more than 1 million combinations, but one pump broke.
💡 Gemini became the machine's "brain." The AI listens t…
💡 To Read the Herculaneum Scrolls, a Researcher Made New Papyrus Scrolls-and Burned Them
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ℹ️ The ancient Roman city of Herculaneum was buried by the eruption of Mount Vesuvius in 79 CE, along with the only known intact li…
👨💻 Trump Renames Artificial Intelligence
At the UN General Assembly, the U.S. president announced that artificial intelligence will now be called "super intelligence." According to him, the new term better reflects what the technology really is.
Trump believes the word "artificial" makes the concept sound "fake."
From now on, he promised, U.S. government documents will use the new name: "super intelligence," or S…
💡 A New Wild Cat Species Was Mistaken for an Ordinary House Kitten for an Entire Year
For the first time in more than a century, scientists have described a completely new species of wild cat. The tiny Leopardus tilcayo was discovered in Bolivia's Yungas, a region of mountain forests along the slopes of the Andes. An adult weighs just about 1.4-1.8 kg, making it noticeably smaller than most domestic cats.
👨 The sto…
🔍 You Have 60 Seconds to Spot the AI Slop
The Lab to AGI team created a quiz to train your intuition in "a world where seeing isn't always believing."
The AI images were generated using GPT Image 2.5, so with each round you can practice and better recognize the model's style. After each round, you can view the correct answers, a link to the source for each real photo, and the prompt for every AI-generated image.
⏳…
❤12🔥3🤔3👍1🤯1🥰1
Showing the 12 most recent of 115 posts we hold for @hiaimediaen. 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
@hiaimediaen 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
6 September 2026
Most recent edit
6 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 14 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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@hiaimediaen named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@hiaiemediaen named in 6 posts, 19 August 2026 – 27 August 2026
@hiamediaen named in 4 posts, 22 August 2026 – 27 August 2026
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 9 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.
The AI | Crypto | Tech @theai · 22,934 Telegram ranks this channel #1 of 59 here — alongside 58 others — read 19 September 2026
ChatGPT, help me ! @ai_perplexity · 42,333 Telegram ranks this channel #1 of 65 here — alongside 64 others — read 29 August 2026
Discover • Tech News @perplexity · 1,443,494 Telegram ranks this channel #1 of 86 here — alongside 85 others — read 8 August 2026
Hi, AI • Noticias sobre la IA @hiaimediaes · 61,740 Telegram ranks this channel #2 of 67 here — alongside 66 others — read 21 August 2026
Soonicorn jobs @soonicornjobs · 30,321 Telegram ranks this channel #7 of 78 here — alongside 77 others — read 7 September 2026
ChatGPT 4.0 & [🅼🅹] | Bot News @ChatGPT_BotNews · 294,316 Telegram ranks this channel #7 of 72 here — alongside 71 others — read 10 August 2026
Ai Orbit Insights • Neural Media & AI News @AiOrbitInsights · 53,664 Telegram ranks this channel #10 of 48 here — alongside 47 others — read 25 September 2026
🤖 OpenAI | ChatGPT | GPT-4o | GPT-4👨🏻💻 @gpt_anthropic · 24,950 Telegram ranks this channel #10 of 85 here — alongside 84 others — read 14 September 2026
Hi, AI • Новости технологий @hiaimedia · 2,644,747 Telegram ranks this channel #11 of 81 here — alongside 80 others — read 8 August 2026
AI и точка. @ai4telegram · 922,526 Telegram ranks this channel #16 of 73 here — alongside 72 others — read 8 August 2026
IT с перцем @hotcodeit · 159,264 Telegram ranks this channel #20 of 77 here — alongside 76 others — read 12 August 2026
Coingraph | News @CoingraphNews · 751,708 Telegram ranks this channel #22 of 60 here — alongside 59 others — read 8 August 2026
Ai Motion News • AI & Neural Networks @AiMotionNews · 29,581 Telegram ranks this channel #25 of 80 here — alongside 79 others — read 8 September 2026
TechGPT [🅽 🅴 🆆 🆂] 🤖 @TechGPTNews · 270,849 Telegram ranks this channel #32 of 60 here — alongside 59 others — read 10 August 2026
ChatGPT, помоги! @GPThelp_ru · 509,707 Telegram ranks this channel #38 of 91 here — alongside 90 others — read 10 August 2026
Chad GPT | Нейросети @AI_Chad · 21,241 Telegram ranks this channel #49 of 79 here — alongside 78 others — read 24 September 2026
Komunitas PMM Belajar Era Digital @belajareradigital · 60,511 Telegram ranks this channel #50 of 64 here — alongside 63 others — read 2 September 2026
Нейросети & Технологии | DeepTech @DeepTechNET · 289,489 Telegram ranks this channel #52 of 62 here — alongside 61 others — read 10 August 2026
Apostle Joshua Selman Messages 24/7 (Channel) @apostlejoshuaselmanchannel · 30,598 Telegram ranks this channel #67 of 68 here — alongside 67 others — read 8 September 2026
Physiology @Physiology_videos · 71,272 Telegram ranks this channel #74 of 74 here — alongside 73 others — read 26 August 2026
This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
32 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
1 of 32 shown as text only, not a link. The exact host, not merely a domain it shares a registrable root with, matches a threat-intelligence blocklist this register already checks elsewhere (see methodology) — the link still appearing in a post is still a measured fact and is still shown, but no anchor is rendered here, so no click and no link equity passes to it from this page.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Hi, AI • Tech News” (@hiaimediaen), 564,679 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/hiaimediaen.
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.