Channel
@mejor
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,118subscribers
-7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001992433819 |
|---|---|
| Type | Channel |
| Username | @mejor |
| Created | Between 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/mejor |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 12:08 | 1,118 | -1 |
| 10 Aug 2026, 14:58 | 1,119 | -4 |
| 7 Aug 2026, 21:53 | 1,123 | -2 |
| 7 Aug 2026, 00:16 | 1,125 | first reading |
15 posts held, back to 28 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 1 pageof Telegram’s post history, 20 posts per page.
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. It is computed over the 9 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 15 (28 July 2026 – 6 August 2026) |
| Views total | 2,246 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 00:16 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.
14 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 71.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 71.4% | |
| 👍 | 2 | 14.3% | |
| 🔥 | 2 | 14.3% |
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 9 of the 15 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 28 July 2026 to 6 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.
Mientras muchos siguen debatiendo sobre la IA, la biología ya avanza hacia la auto-mejora continua. Un modelo predice qué mutaciones pueden optimizar una enzima, un laboratorio automatizado realiza la síntesis y las pruebas, y el modelo actualiza sus predicciones con los nuevos datos, repitiendo el proceso. Investigadores de la Universidad de Tianjin completaron solo cinco ciclos automatizados y lograron mejorar una …
❤1
Anthropic ha confirmado que está formando un equipo interno especializado en el diseño de chips personalizados para Claude, su modelo de IA 🤖. Hasta ahora, la empresa dependía totalmente de fabricantes como Nvidia, pero este paso marca un cambio estratégico importante. El motivo principal de esta decisión es que, al controlar tanto el desarrollo del modelo de IA como el hardware, Anthropic puede lograr que Claude fu…
Google apuesta fuerte por la inteligencia artificial con una inversión cercana a los 200 mil millones de dólares. Esta iniciativa está entre los mayores proyectos de infraestructura de IA jamás emprendidos y busca ampliar enormemente la capacidad computacional dedicada a Anthropic. Se estima que unos 150 mil millones se destinarán a chips de inteligencia artificial TPU, mientras que 50 mil millones servirán para con…
👍1
Esto podría ser el primer ataque de pánico registrado en una inteligencia artificial en la historia humana. 😯 @mejor 📰
A veces, solo hace falta una buena risa para mejorar el día. 😄 @mejor 📰
Un agente de contrainteligencia del FBI robó $1 millón en criptomonedas de las billeteras de un sospechoso y luego recurrió a ChatGPT para preguntar cómo salir del país. Patrick Yaroch usó códigos de acceso obtenidos durante una investigación para transferir fondos desde monederos ligados a un "país adversario". Más tarde, consultó a ChatGPT sobre qué hacer con una "gran cantidad de dinero" y cómo mudarse a Europa. A…
Alibaba ha presentado Qwen3.8-Max, su modelo de IA con 2,4 billones de parámetros, que logró funcionar de forma autónoma durante 16 días. Durante ese periodo, completó 265 commits, 127 pull requests y resolvió 151 issues en un ciclo continuo de desarrollo, testeo, reparación y fusión. Este modelo destaca por su eficiencia: operar Qwen3.8-Max es un 80% más barato que GPT-5.6 Sol y un 88% menos costoso que Claude Fabl…
❤2🔥2
Según análisis recientes, DeepSeek V4-Flash logra completar tareas de referencia con un costo total 105 veces menor que Fable 5, lo que destaca una enorme diferencia en eficiencia. Aunque su costo por token ya es inferior, surgen dudas sobre el costo final de las tareas, ya que la eficiencia real también depende del número de pasos requeridos para alcanzar el objetivo. Sin embargo, las evaluaciones muestran que DeepS…
Según WIRED, algunas personas de la generación boomer han comenzado a crear cuentos infantiles personalizados con IA para regalárselos a sus hijos. Un caso compartido en Reddit relata que una madre, pese a la negativa de su hijo, utilizó imágenes de su nieta para generar libros infantiles con ayuda de la inteligencia artificial. 📚 @mejor 📰
Las notas de la comunidad suelen generar reacciones divertidas 😂. Estos comentarios muestran cómo la gente interpreta la información y añade su propio punto de vista. Es interesante ver cómo la colaboración en línea crea espacios de discusión donde surgen distintas opiniones. @mejor 📰
❤1
YouTube ha iniciado una limpieza masiva de canales de contenido generado por inteligencia artificial, eliminando más de 130,000 canales en solo seis meses. Esta acción busca reducir la proliferación de “granjas de contenido” automatizadas en la plataforma. 🚩 @mejor 📰
❤1
Google DeepMind ha presentado Gemini Robotics 2, un avanzado sistema de IA capaz de coordinar los movimientos completos de robots humanoides, desde caminar y agacharse hasta manipular objetos con manos de cinco dedos 🤖. El sistema combina tres modelos principales: Gemini Robotics 2 traduce imágenes e instrucciones a movimientos precisos, ER 2 gestiona tareas complejas durante varios minutos y controla múltiples robot…
❤1
Showing the 12 most recent of 15 posts we hold for @mejor. 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 — 1,099,491 of 1,176,613entries 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.
Named by 1 registered channel — 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“🇪🇸 AI Post: Inteligencia Artificial / Noticias de IA” (@mejor), 1,118 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/mejor.
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.