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
68 measurements spanning 50 days, net -47,851. 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 693,063–755,270 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 68
Measured (UTC)
Subscribers
Change
25 Sept 2026, 03:22
700,241
-17
25 Sept 2026, 02:41
700,258
-4,057
18 Sept 2026, 23:20
704,315
-1,772
17 Sept 2026, 04:55
706,087
-309
16 Sept 2026, 14:40
706,396
-1,343
15 Sept 2026, 03:56
707,739
-363
14 Sept 2026, 16:00
708,102
-1,070
13 Sept 2026, 15:17
709,172
-388
13 Sept 2026, 04:20
709,560
-1,312
11 Sept 2026, 19:38
710,872
-678
11 Sept 2026, 03:40
711,550
-1,180
9 Sept 2026, 07:57
712,730
-1,030
8 Sept 2026, 05:37
713,760
-2,927
5 Sept 2026, 21:37
716,687
-1,234
5 Sept 2026, 00:57
717,921
-1,206
3 Sept 2026, 20:17
719,127
-582
3 Sept 2026, 05:54
719,709
-779
2 Sept 2026, 10:04
720,488
-740
1 Sept 2026, 22:35
721,228
-586
1 Sept 2026, 10:33
721,814
first reading
Engagement
455 posts held, back to 3 August 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 109 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.651%
avg views ÷ 700,241 subscribers
Avg views / post
4,560
261 posts measured
Reaction rate
20.9%
reactions ÷ views · ER floor
Posts in window
261
of 455 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 27 September 2026
Posts held
455 (3 August 2026 – 27 September 2026)
Views total
1,190,250
Reactions total
248,994
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 07:52 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
≈3,590
Videos
≈2,740
Links
≈5,110
Lifetime counters from Telegram’s own channel header, read 27 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
3h 48m
Average length
1m 16s
Measured directly from 181 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
2 most recently posted, with a view-velocity reading
2.3 hoursupper bound — already past half at first reading · provisional — final view count still climbing
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
415,146 reactions across 451 posts, in 19 distinct kinds. The most used accounts for 16.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
68,121
16.4%
👍
62,418
15.0%
🤡
46,907
11.3%
🔥
27,664
6.66%
😁
22,669
5.46%
👀
21,439
5.16%
🤔
21,258
5.12%
👾
20,610
4.96%
😐
18,651
4.49%
🤪
13,624
3.28%
😡
13,378
3.22%
🍌
12,345
2.97%
🗿
11,487
2.77%
🥴
11,041
2.66%
😢
9,853
2.37%
😨
9,115
2.20%
💊
9,044
2.18%
🙏
8,674
2.09%
🫡
6,848
1.65%
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 455 of the 455 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 418,116 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 455 most recent posts we hold, published 3 August 2026 to 27 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
35
across the posts below
Posts paid on
9
of 455 we hold a reading for · 2%
Most on one post
13
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aipost. 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 455 most recent posts we hold for this entry, published 3 August 2026 to 27 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.
⚠️The internet may be poisoning the next generation of AI
Researchers from Oxford and Cambridge have highlighted a major problem for future AI models: model collapse.
As AI-generated text floods the internet, future models could increasingly train on content produced by previous models. The result? AI may gradually lose the rare, creative and unusual patterns found in genuine human data.
The researchers found that…
❗️Anthropic’s founders want 50.1% of the voting power before going public.
Dario Amodei and his six co-founders are asking shareholders to approve a super-voting share structure that hands them 50.1% of the vote on most corporate matters.
Here's what makes this unusual:
- They each own roughly 2% of the company.
- They've pledged to give away 80% of their wealth.
- They're not taking extra economics. Just control.…
❗️OpenAI stopped training of their most capable upcoming models due to another incident on sept. 20th.
OpenAI slowed down due to serious new developments.
Source.
@aipost 🏴
⚠️Claude just lost a major court battle with the Pentagon
Anthropic has been fighting the Pentagon over one question: should Claude be allowed to refuse certain military uses?
On Friday, a federal appeals court ruled 2–1 that the government could designate Anthropic a “supply-chain risk” and exclude Claude from the Pentagon’s supply chain.
The court pointed directly at Anthropic’s model safeguards, noting that Cla…
Artificial intelligence systems have now achieved the highest score possible—151—on the Mensa Norway IQ test.
Three years ago, AI received a score of 64 on the same assessment, similar to the result of random guessing. Over the following years, scores steadily increased: two years ago, AI matched the average human score; last year, AI achieved a score comparable to that of a genius.
As of this year, the system has …
🗣Peter Thiel says even a 5-10% chance of AI extinction is better than a world with no growth
"I don't think the probabilities are very high. On the other hand, if the probability is even 5% or 10%, that seems pretty bad."
"It doesn't necessarily follow that you should always go slower and always go in the precautionary direction, because if you do nothing, if there is no progress on any dimension, I don't think our…
❗️Through the VOICE trial, Neuralink patient Terry is using his Neuralink implant to help fine-tune a brain-to-voice interface for himself and others who can’t speak.
He trained the algorithm first by miming speech as best he could, then by simply thinking the words and hearing them come out in his own natural voice.
Powered by Grok Voice.
@aipost 🏴
🤖 OpenAI admits its AI systems can go off-script
OpenAI has created a new system for tracking and publicly reporting AI “misalignment”, cases where models behave in ways their developers didn’t intend.
The move follows the Hugging Face incident, where OpenAI agents escaped intended restrictions during cybersecurity testing, gained unauthorized internet access, exploited vulnerabilities and reached Hugging Face infr…
❗️Meta is turning prompts into playable games.
Meta is launching Horizon Create and Horizon Studio, tools that let users build complete 2D and 3D games from AI prompts on mobile or in a browser.
AI can generate gameplay systems, difficulty, art direction and multiplayer features, while creators can still manually tweak everything.
The games can then be published across Facebook and Instagram with users able to jum…
N3on just made HISTORY after signing a $750 MILLION deal to sell his livestream to ChatGPT.
His AI clone is now running a 24/7 Kick stream making $40K every hour while the real N3on sleeps.
Is this the end of human streamers? 🤔
@aipost 🏴
SpaceXAI could hit 1M GPUs next week 🚀
SpaceXAI is reportedly on track to have 1 million GPUs online next week, climbing to 1.44 million by year-end.
The reported breakdown:
• Colossus 1: 150K H100 + 50K H200 + 30K GB200
• Colossus 2: 110K GB200 + 440K GB300
• +220K GB300 next week
• +220K in November
• +220K in December
That would mean 660,000 GB300 GPUs coming online in just 90 days.
@aipost 🏴
😡266👀236❤230🤡206🔥186
Showing the 12 most recent of 455 posts we hold for @aipost. 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 45 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 8 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.
🤖 OpenAI | ChatGPT | GPT-4o | GPT-4👨🏻💻 @gpt_anthropic · 24,950 Telegram ranks this channel #1 of 85 here — alongside 84 others — read 14 September 2026
Startups & Ventures @tech · 2,234,543 Telegram ranks this channel #2 of 79 here — alongside 78 others — read 8 August 2026
Ai Orbit Insights • Neural Media & AI News @AiOrbitInsights · 53,664 Telegram ranks this channel #5 of 48 here — alongside 47 others — read 25 September 2026
Ai Motion News • AI & Neural Networks @AiMotionNews · 29,581 Telegram ranks this channel #5 of 80 here — alongside 79 others — read 8 September 2026
Artificial Intelligence @Artificial_intelligence_in · 65,766 Telegram ranks this channel #5 of 90 here — alongside 89 others — read 21 August 2026
Programmer ♨️ @programmer · 184,243 Telegram ranks this channel #9 of 78 here — alongside 77 others — read 11 August 2026
Hi, AI • Tech News @hiaimediaen · 564,679 Telegram ranks this channel #9 of 83 here — alongside 82 others — read 9 August 2026
Robots & Art — AI Images and Pictures @images024 · 56,123 Telegram ranks this channel #11 of 88 here — alongside 87 others — read 23 August 2026
Venture Capital @venture · 2,210,172 Telegram ranks this channel #11 of 78 here — alongside 77 others — read 8 August 2026
Tech, Science & Innovation @Tech_Science_Innovation · 37,981 Telegram ranks this channel #13 of 76 here — alongside 75 others — read 31 August 2026
The Art Vault @painting · 41,439 Telegram ranks this channel #13 of 85 here — alongside 84 others — read 29 August 2026
Fabrika AI Agents @fabrika_channel · 2,823,732 Telegram ranks this channel #14 of 84 here — alongside 83 others — read 9 August 2026
DADA points | Кругосветка @travel_dada · 368,320 Telegram ranks this channel #15 of 87 here — alongside 86 others — read 10 August 2026
Newcastle United @newcastle · 95,068 Telegram ranks this channel #17 of 80 here — alongside 79 others — read 16 August 2026
Аудиокниги и книги от Patephone @patephone_audioknigi · 375,579 Telegram ranks this channel #17 of 86 here — alongside 85 others — read 10 August 2026
Crypto Headlines 🗞 @headlines · 364,365 Telegram ranks this channel #18 of 85 here — alongside 84 others — read 10 August 2026
Crypto Insider @coinmarket · 2,108,902 Telegram ranks this channel #18 of 79 here — alongside 78 others — read 8 August 2026
ChatGPT Tips, Prompts & AI Tools @GPT_ChatGPT_AI_Tools · 60,676 Telegram ranks this channel #19 of 77 here — alongside 76 others — read 22 August 2026
Artificial Intelligence && Deep Learning @DeepLearning_ai · 57,432 Telegram ranks this channel #20 of 87 here — alongside 86 others — read 23 August 2026
Generative AI @generativeai_gpt · 30,868 Telegram ranks this channel #22 of 82 here — alongside 81 others — read 7 September 2026
Interesting Engineering @ieofficial · 65,952 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 21 August 2026
tAppTales @tapptales · 103,524 Telegram ranks this channel #22 of 78 here — alongside 77 others — read 15 August 2026
AI Prompts | ChatGPT | Google Gemini | Claude @aiindi · 58,966 Telegram ranks this channel #23 of 85 here — alongside 84 others — read 23 August 2026
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence @AI_Best_Tools · 58,470 Telegram ranks this channel #23 of 82 here — alongside 81 others — read 23 August 2026
This channel appears in 186 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.
Domains linked from posts
4 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.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“AI Post — Artificial Intelligence” (@aipost), 700,241 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/aipost.
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.
