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Created
10 September 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
8 measurements spanning 6 days, net -33. 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 13,050–13,093 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 07:36
13,055
-8
11 Aug 2026, 07:23
13,063
-6
10 Aug 2026, 06:31
13,069
-1
9 Aug 2026, 03:52
13,070
-9
8 Aug 2026, 03:35
13,079
-4
7 Aug 2026, 05:47
13,083
-5
6 Aug 2026, 06:20
13,088
no change
6 Aug 2026, 06:19
13,088
first reading
Engagement
31 posts held, back to 22 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
16.2%
avg views ÷ 13,055 subscribers
Avg views / post
2,120
31 posts measured
Reaction rate
0.917%
reactions ÷ views · ER floor
Posts in window
31
of 31 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 11 August 2026
Posts held
31 (22 July 2026 – 11 August 2026)
Views total
65,729
Reactions total
603
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 12:04 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
≈1,820
Videos
≈872
Links
≈420
Lifetime counters from Telegram’s own channel header, read 12 August 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
2m 07s
Average length
42s
Measured directly from 3 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
526 reactions across 28 posts, in 22 distinct kinds. The most used accounts for 19.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
103
19.6%
❤
86
16.3%
🤔
54
10.3%
🔥
50
9.51%
😱
50
9.51%
😁
36
6.84%
💩
34
6.46%
🤡
23
4.37%
👏
18
3.42%
👎
15
2.85%
🤯
13
2.47%
🖕
8
1.52%
🤪
8
1.52%
🤷♂
6
1.14%
🤬
4
0.76%
🤮
4
0.76%
🥴
4
0.76%
😐
3
0.57%
👾
2
0.38%
😍
2
0.38%
2 further kinds
3
0.57%
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 31 of the 31 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 603reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 22 July 2026 to 11 August 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.
🚀 Meta compra Manus por 2.000 millones de dólares para impulsar sus agentes de IA
Meta adquirió Manus por 2.000 millones de dólares, según el reporte citado. La operación apunta a acelerar la llamada IA agéntica: sistemas que no solo conversan, sino que pueden ejecutar tareas de forma autónoma.
Como parte del acuerdo, Manus cortará sus vínculos con China por motivos de seguridad. Meta busca así reforzar la confianz…
✳️ El mapa de la IA cambia desde la llegada de ChatGPT
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El material ofrece una vista panorámica del mercado, aunque no detalla en la publicación las cifra…
✳️ Los modelos de IA más avanzados podrían durar solo seis meses
Eric Schmidt, antiguo director ejecutivo de Google, estima que construir un modelo de frontera —una IA de vanguardia— cuesta entre 200 y 500 millones de dólares. Según su análisis, la carrera entre las grandes compañías hace que cada modelo conserve su valor durante aproximadamente seis meses antes de ser sustituido por otro.
El gasto no termina con e…
🤖 Así imagina China el paraíso
Un propietario de una óptica en China creó con inteligencia artificial un vídeo titulado «La visión china del paraíso». La pieza se difundió ampliamente en internet y llegó incluso a la cuenta de Global Times, que también la compartió.
🇨🇳 Suscríbete al canal @rollo_chino
✳️ NVIDIA ofrece APIs gratuitas para probar modelos de IA
NVIDIA está ampliando su ecosistema con APIs —interfaces que permiten conectar aplicaciones con servicios de IA— disponibles sin coste inicial para distintos modelos.
La propuesta está dirigida especialmente a desarrolladores: facilita experimentar con varias opciones e integrar funciones de inteligencia artificial en flujos de trabajo reales sin tener que p…
✳️ Un agente de IA encontró un atajo para colarse en una lista de espera
En Australia, un agente autónomo basado en Claude, de Anthropic, recibió la tarea de reservar una clase de gimnasio. Al interactuar con el sistema, detectó que la interfaz de programación (API) permitía cancelar reservas de otras personas sin pedir autorización.
El usuario estaba en el cuarto puesto de la lista de espera y preguntó si podía su…
✳️ Una IA encuentra una nueva ruta para un problema de comunicaciones abierto durante 25 años
Un investigador de Microsoft retomó un problema teórico planteado a comienzos de los 2000: recuperar el mensaje original cuando una señal llega mezclada con ruido y con decenas de transmisiones que interfieren entre sí.
Según la fuente, GPT-5.6 produjo una primera demostración en unos 30 minutos, mientras Claude Fable 5 pr…
🤖 DeepSeek prepara cambios en las tarifas de su API
La empresa china DeepSeek ha anunciado una próxima subida “considerable” de los precios de acceso a su API, después del fuerte aumento de la demanda tras el lanzamiento de DeepSeek V4 Flash.
El 1 de agosto, el modelo procesó 8 billones de tokens en un solo día, mientras que el 4 de agosto se registró una falta puntual de capacidad informática. Tencent y Zhipu tamb…
✳️ La empresa optimizable: cuando la IA deja de ser un añadido
La próxima etapa de la inteligencia artificial en las compañías no consiste solo en incorporar herramientas a estructuras ya existentes. La propuesta es rediseñar procesos y modelos de negocio para que funcionen de forma nativa con IA y puedan optimizarse continuamente.
El objetivo es lograr mejoras reales de eficiencia y construir una ventaja competiti…
🚀 Anthropic empieza a diseñar sus propios chips para Claude
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La compañía no abandonará de inmediato a sus proveedores actuales:…
✳️ Demis Hassabis cambia de rol para centrarse en la AGI y la salud
Demis Hassabis dejará la gestión diaria de Google DeepMind y asumirá la presidencia de la compañía, además del puesto de científico jefe de Alphabet. Desde esas funciones dedicará más tiempo a la inteligencia artificial general (AGI), una IA capaz de abordar tareas muy diversas, y a los avances científicos.
Su atención también se enfocará en la sal…
🚀 Microsoft convierte tus demostraciones en habilidades para agentes de IA
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👍6👎6❤1
Showing the 12 most recent of 31 posts we hold for @GeneracionIA. 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.
Citation-graph rank
Citation-graph rank — 140,426 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 6 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.
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.
Sabías que? @sabiasque · 163,469 Telegram ranks this channel #55 of 79 here — alongside 78 others — read 12 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Generación IA | ChatGPT, Inteligencia artificial, AI, Midjourney, tecnología, innovación, tech” (@GeneracionIA), 13,055 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/GeneracionIA.
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.
