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Inteligencia Artificial & ChatGPT 🤖 Mafia IA para Creadores

@AImafiaClub

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,546subscribers

+23 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001682119048
TypeChannel
Username@AImafiaClub
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live28 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/AImafiaClub

Growth

2,5232,5462,534.58 August 2026 — 2,523 subscribers8 August 2026 — 2,523 subscribers11 August 2026 — 2,525 subscribers14 August 2026 — 2,529 subscribers18 August 2026 — 2,530 subscribers21 August 2026 — 2,532 subscribers24 August 2026 — 2,536 subscribers28 August 2026 — 2,546 subscribers8 August 202628 August 2026
8 measurements spanning 20 days, net +23. 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 2,520–2,549 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 05:122,546+10
24 Aug 2026, 20:252,536+4
21 Aug 2026, 03:022,532+2
18 Aug 2026, 00:042,530+1
14 Aug 2026, 16:352,529+4
11 Aug 2026, 10:322,525+2
8 Aug 2026, 16:542,523no change
8 Aug 2026, 06:012,523first reading

Engagement

20 posts held, back to 6 March 2026the 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 · 30 days
19.2%
avg views ÷ 2,546 subscribers
Avg views / post
488
1 post measured
Reaction rate
1.64%
reactions ÷ views · ER floor
Posts in window
1
of 20 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
WindowRolling 30 days · latest post in window 30 July 2026
Posts held20 (6 March 202630 July 2026)
Views total488
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:01 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

106 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 39.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4239.6%
👍3129.2%
👏2624.5%
😱32.83%
🤔32.83%
💔10.943%

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 18 of the 20 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 106reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 6 March 2026 to 30 July 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

30 Jul 2026, 19:13 UTC488 views8 reactionsread 8 August 2026

¿Ha muerto el Prompt Engineering? La mayoría está usando reglas antiguas para prompts en actuales modelos frontera: Fable, Opus 5, GPT Sol o Kimi-3 Resultado: Gastan más tokens, peores respuestas, más coste. He revisado por ti toda la documentación de OpenAI y Anthropic. Y he creado una Guía gratuita con: → Los 5 anti-hacks que debes borrar → Las 4 nuevas reglas del prompting → La plantilla 2026 → Un prompt para

👏3🔥3👍2

21 Jul 2026, 16:45 UTC838 viewsread 8 August 2026
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Tenemos un problema con Anthopic y es algo que puede acabar perjudicándonos a todos. GLM 5.2. Kimi K3. Qwen 3.8. Tres modelos open source. Todos a la altura de Fable 5. En semanas. El problema no es técnico. Es económico. Meta tiene centros de datos. Google tiene centros de datos y chips. SpaceX tiene hasta la generación eléctrica. Mientras Anthropic: → No posee infraestructura. Solo modelos. Costes escalan con

18 Jul 2026, 20:18 UTC706 viewsread 8 August 2026
Photo

China ha decidido que la mejor forma de ganar la guerra de la IA es arruinar a la competencia de Silicon Valley. GLM-5.2 está a un paso minúsculo de Claude Opus 4.8 en capacidades de código y ahora p𝘂𝗲𝗱𝗲𝘀 𝗽𝗿𝗼𝗯𝗮𝗿𝗹𝗼 𝗴𝗿𝗮𝘁𝗶𝘀 𝗮𝗵𝗼𝗿𝗮 𝗺𝗶𝘀𝗺𝗼 𝘃í𝗮 𝗧𝗼𝗸𝗲𝗻 𝗥𝗼𝘂𝘁𝗲𝗿. 🔹 No, China no es nuestro "amigo" pero ahora mismo sí nuestro "aliado". 🔹 Están comoditizando la capa del modelo para destruir el foso defensivo de OpenAI y Anthopic

16 Jul 2026, 17:43 UTC≈1,100 views1 reactionsread 8 August 2026

Hay un negocio que casi nadie hace y paga seis cifras: Migrar empresas de OpenAI/Anthropic a modelos Open Source. Lo que casi todos entienden mal: 1️⃣ Open source ≠ tu infraestructura. Tienes DeepSeek en Azure, servidores en Europa, misma API. Cero hardware 2️⃣ No todos tus procesos necesitan un modelo frontera. 3️⃣ El modelo abierto es peor. Ese es tu trabajo: mejor contexto, mejor arnés. Shopify no montó inf

👏1

11 Jul 2026, 15:22 UTC823 views2 reactionsread 8 August 2026
Photo

Anthropic nos toma por tontos. Una vez más. Fable 5 apareció, lo banearon. Cuando volvió, Anthropic le puso fecha: una semana. Date prisa. Luego ampliaron el plazo. Otra vez. Y lo volverán a ampliar. La realidad: NO pueden quitarlo. Sin Fable 5, el mejor modelo de pago de Anthropic es Opus 4.8. Pierde contra GPT 5.6. Y contra GPT 5.5. El GPT viejo. A ese punto no hay razón para pagar Claude. Ninguna. Fable 5 n

🔥2

9 Jul 2026, 18:57 UTC741 views2 reactionsread 8 August 2026
Photo

Las últimas semanas solo se habló de Fable 5. Parecía un modelo muy superior al resto. Hasta hoy. GPT-5.6 Sol lo supera en DeepSWE, coding y razonamiento. Y no solo eso, lo hace por mucho menos dinero. → DeepSWE 1.1: nuevo SOTA, por delante de Fable 5 → Agents' Last Exam: 53.6 vs 40.5 (+13.1 pts) → Coding Agent Index: 80 vs 77.2, un 30% más barato → Terra y Luna superan a Fable 5 a 1/16 del coste Muchos siguen pen

👍1🔥1

24 Jun 2026, 17:02 UTC≈1,120 views2 reactionsread 8 August 2026
Photo

🚨 Nvidia ha puesto gratis los siguientes cursos de IA. Solo hasta 7 de Julio. Actúa rápido antes de que sean de pago. NVIDIA tiene 7 cursos y 2 masterclasses gratis sobre IA generativa, RAG, agentes, ciencia de datos y visión artificial. Y varios entregan certificado de finalización. Aquí tienes los enlaces oficiales: 1️⃣ Acelera tus flujos de ciencia de datos sin cambiar el código Aprende a acelerar procesos d

🔥2

23 Jun 2026, 18:49 UTC≈1,390 views4 reactionsread 8 August 2026

𝗔𝗹𝗴𝗼 𝗲𝘅𝘁𝗿𝗮𝗻𝗼 𝗲𝘀𝘁á 𝗽𝗮𝘀𝗮𝗻𝗱𝗼 𝗰𝗼𝗻 𝗲𝗹 𝘁𝗿𝗮𝗯𝗮𝗷𝗼. 🚨 Nuevo post:"La Gran mentira del trabajo IA" - dónde está el x100 IA y la era de la Agencia. Puedes leerlo completo en: https://aimafia.substack.com/p/trabajo-ia

👏2🔥2

12 Jun 2026, 12:43 UTC≈1,390 views1 reactionsread 8 August 2026

La mayoría prueba un agente IA 20 minutos y escribe una review. Yo llevo más de 30 días usando Hermes a diario y cada vez me convence más por una razón: reduce fricción. Setup sencillo. - Memoria local. - Sistema de Skills que mejoran. - Integración con Telegram/Discord. - Aprende y mejora con cada uso Comparativa completa: Hermes vs OpenClaw. LINK ⬇️ https://agentesia.substack.com/p/hermes-vs-openclaw

👏1

7 Jun 2026, 20:55 UTC≈1,210 views5 reactionsread 8 August 2026

🔥 LO MÁS DESTACADO EN IA ESTA SEMANA Esto es un resumen de lo más importante que ha pasado en la IA esta semana para que te pongas al día en 5 minutos. 1. 🤖 CLAUDE YA ESCRIBE EL 80% DEL CÓDIGO EN ANTHROPIC Anthropic confirma que su propio modelo es el principal desarrollador de la empresa. El nivel de confianza que tienen en su herramienta es absoluto. 2. ⚔️ HERMES VS OPENCLAW: LA GUERRA DE LOS AGENTES IA OpenClaw

🔥3👏2

21 May 2026, 18:15 UTC≈1,520 views9 reactionsread 8 August 2026
Photo

𝗠𝗶 𝗦𝘁𝗮𝗰𝗸 𝗜𝗔 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 (Mayo 2026). Lo Que Realmente Uso a diario: 👨‍💻 𝗣𝗮𝗿𝗮 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗮𝗿: Codex + Opencode + antigravity 🧠 𝗠𝗲𝗷𝗼𝗿 𝗺𝗼𝗱𝗲𝗹𝗼: GPT 5.5 / barato: Deppseek v4 pro 📝 𝗣𝗮𝗿𝗮 𝗽𝗲𝗻𝘀𝗮𝗿 𝘆 𝗰𝗿𝗲𝗮𝗿: Claude 🕵️‍♂️ 𝗣𝗮𝗿𝗮 𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗴𝗮𝗿: perplexity (cada vez menos) ⚒️ 𝗣𝗮𝗿𝗮 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝘇𝗮𝗿: Codex + Hermes 🎨 𝗣𝗮𝗿𝗮 𝗶𝗺á𝗴𝗲𝗻𝗲𝘀: Nano Banana 2 🔊𝗣𝗮𝗿𝗮 𝗮𝘂𝗱𝗶𝗼/𝗽𝗼𝗱𝗰𝗮𝘀𝘁𝘀: fish audio 🎧 𝗺ú𝘀𝗶𝗰𝗮: moises 🆓 𝗜𝗔 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 𝗲𝗻 𝗹𝗼𝗰𝗮𝗹: lmstudio + Qwen3.6 (💻 Macbo

🔥7👍2

18 May 2026, 13:00 UTC≈1,880 views6 reactionsread 8 August 2026

Un chico de 23 años usó ChatGPT para atacar un problema matemático que llevaba 60 años abierto y sin solución. No era un genio desconocido. No tenía formación matemática avanzada. Uso la IA para pensar de una forma que ningún experto en el mundo es capaz. Aquí tienes el prompt de 185 lineas para replicar esta estrategia. ⮕ https://aimafia.substack.com/p/prompt-mejor-pensamiento-soluciones

🔥6

Showing the 12 most recent of 20 posts we hold for @AImafiaClub. 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 — 1,200,173 of 1,622,561entries 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.

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 28 August 2026 — this entry's latest reading, not the date you are reading this.

“Inteligencia Artificial & ChatGPT 🤖 Mafia IA para Creadores” (@AImafiaClub), 2,546 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/AImafiaClub.

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.