🤖🤓📲 En este canal encontrará todo lo relacionado con la tecnología, la ciencia y robótica, así como una gran variedad de consejos útiles relacionados con los 'gadgets'.
Created
28 June 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (2 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 97 comparable posts for this entry, running 18 July 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the key clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
63 measurements spanning 96 days, net -2,039. 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 29,307–31,958 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
10 Nov 2026, 03:07
29,613
-15
8 Nov 2026, 13:57
29,628
-27
7 Nov 2026, 06:56
29,655
-13
6 Nov 2026, 05:26
29,668
-20
5 Nov 2026, 02:49
29,688
-11
4 Nov 2026, 00:36
29,699
-110
3 Nov 2026, 02:30
29,809
-117
1 Nov 2026, 23:36
29,926
-13
31 Oct 2026, 23:45
29,939
-12
30 Oct 2026, 22:55
29,951
-25
30 Oct 2026, 00:16
29,976
-61
29 Oct 2026, 00:50
30,037
-15
27 Oct 2026, 20:49
30,052
-24
26 Oct 2026, 19:47
30,076
-10
25 Oct 2026, 21:46
30,086
-14
24 Oct 2026, 19:40
30,100
-13
23 Oct 2026, 20:36
30,113
-11
22 Oct 2026, 19:10
30,124
-16
21 Oct 2026, 15:48
30,140
-13
20 Oct 2026, 10:56
30,153
first reading
Engagement
97 posts held, back to 18 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 164 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.9%
avg views ÷ 29,613 subscribers
Avg views / post
7,390
25 posts measured
Reaction rate
0.826%
reactions ÷ views · ER floor
Posts in window
25
of 97 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 10 November 2026
Posts held
97 (18 July 2026 – 10 November 2026)
Views total
184,640
Reactions total
1,525
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 23:59 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
≈2,410
Videos
≈2,700
Links
≈1,100
Lifetime counters from Telegram’s own channel header, read 10 November 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
43m 08s
Average length
48s
Measured directly from 54 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
6,545 reactions across 95 posts, in 31 distinct kinds. The most used accounts for 20.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,366
20.9%
❤
855
13.1%
🤔
606
9.26%
🤡
523
7.99%
👏
493
7.53%
🤣
476
7.27%
😱
418
6.39%
😁
396
6.05%
🔥
298
4.55%
🤯
278
4.25%
👎
265
4.05%
🥱
214
3.27%
🥴
109
1.67%
🤨
73
1.12%
🌚
48
0.733%
😐
18
0.275%
🍌
14
0.214%
🌭
13
0.199%
👌
12
0.183%
💯
12
0.183%
11 further kinds
58
0.886%
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 97 of the 97 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 6,737 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 97 most recent posts we hold, published 18 July 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 0 of 25 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Ⓜ️ Meta lanza Spaces, una herramienta para crear aplicaciones sin programar
Los usuarios solo tienen que describir una tarea en lenguaje natural y la inteligencia artificial genera automáticamente la interfaz y las funciones necesarias. Después, la aplicación creada puede modificarse directamente a través del chat.
Spaces es compatible con Gmail y Google Calendar y permite actualizar los datos automáticamente sin n…
✳️ 10.000 agentes de IA trabajaron durante cuatro días para abordar un problema matemático de un millón de dólares
Sam Altman afirmó que el modelo utilizado por OpenAI para intentar resolver el problema de Navier‑Stokes llegará próximamente como la siguiente generación de GPT. Según explicó, 10.000 agentes —programas de IA que colaboran para completar una tarea— trabajaron sin interrupción durante unos cuatro días y…
💻 Apple presenta un MacBook Pro táctil con pantalla OLED y Dynamic Island
Apple presentó una nueva generación del MacBook Pro con pantalla táctil OLED y el sistema Dynamic Island. El portátil estará disponible en versiones de 14 pulgadas y 16 pulgadas, equipadas con los chips M5 Pro y M5 Max.
El logotipo de Apple volverá a iluminarse en la tapa trasera, una característica que la compañía abandonó después del MacBoo…
🤖 Jack Dorsey presenta Dessa, una IA que responde directamente con voz
Jack Dorsey presentó Dessa, un modelo de inteligencia artificial diseñado para mantener conversaciones habladas con un ritmo más natural.
A diferencia de los sistemas que primero convierten la voz en texto y después generan una respuesta, Dessa produce el audio directamente. El modelo incorpora emociones, pausas y variaciones de tempo para que s…
📺 Usuarios convierten sus Smart TV en televisores “tontos” con ayuda de IA
Algunos propietarios están usando Claude Code para crear una interfaz personalizada que elimina la publicidad, desinstala aplicaciones del fabricante y bloquea el seguimiento. En ciertos casos basta con indicar el modelo del televisor: el agente lo localiza en la red Wi‑Fi, borra paquetes del fabricante y genera un nuevo lanzador.
Ya existen…
Un hombre envió a su avatar de IA a una entrevista con un reclutador de IA y los dejó a solas, pero las redes neuronales se quedaron atrapadas en una despedida y no pudieron terminar la conversación.
La empresa envió a un reclutador de IA para realizar la entrevista, así que un youtuber decidió responder de la misma manera. En un momento dado, salió del encuadre y los dos agentes continuaron hablando sobre el puesto…
Un fan de Proyecto Salvación ha construido en casa una versión funcional de Rocky utilizando IA.
Todo funciona sin conexión a internet, en un ordenador doméstico: Whisper, de OpenAI, reconoce la voz; Gemma, de Google, se encarga del razonamiento y la visión; y XTTS genera las respuestas habladas. El robot no tiene un guion preprogramado, por lo que improvisa sus frases sobre la marcha y comete errores deliberadament…
Tesla presentó el «coche volador» Roadster, capaz de elevarse del suelo y realizar volteretas en el aire. Los trucos se mostraron durante la presentación.
El vehículo se eleva gracias a 10 toberas que expulsan aire comprimido a alta presión. Se trata de motores de gas frío, cuyo sistema fue desarrollado en colaboración con SpaceX.
Solo la versión más cara de las tres, la Rocket, puede volar. No está permitido circu…
Las aves están perdiendo la capacidad de cantar y algunas se encuentran al borde de la extinción. La IA podría ayudar a recuperar sus cantos perdidos.
Debido a la disminución de las poblaciones, a los polluelos les resulta cada vez más difícil aprender de las aves adultas. Como resultado, pueden imitar cantos de otras especies o cantar de forma incorrecta, lo que dificulta encontrar pareja y reproducirse.
Científic…
💻 Binance investiga un posible hackeo con 1.800 millones de dólares congelados
El cofundador de Binance, Changpeng Zhao, afirmó que el intercambio parece haber sido víctima de un ataque informático.
Tras el incidente, Tether y Circle congelaron aproximadamente 1.800 millones de dólares vinculados a la operación.
🔋 SÍGANOS
Un ingeniero de OpenAI le preguntó a un chatbot cómo instalar un dispositivo de escucha, lo colocó en una sala de reuniones de la dirección y fue descubierto gracias a la IA.
Según la investigación, Abdulrahman Alfozan escondió un dispositivo de grabación en un rollo de papel higiénico y lo conectó al puerto USB de un televisor. Las grabaciones de las cámaras de seguridad ayudaron a identificar al sospechoso, ya que…
Los investigadores de IA han empezado a fumar porque creen que la inteligencia artificial encontrará una cura para el cáncer, afirmó el director de tecnología de Palantir, Shyam Sankar.
Según Sankar, al fumar, muestran a sus colegas que creen tanto en esta tecnología que están dispuestos a poner en juego su propia salud. Esta microtendencia existe realmente: los medios informaron de que algunas personas del sector t…
🤡62🤔19🌭8😁5👍4👏3🥴3❤1
Showing the 12 most recent of 97 posts we hold for @techladotech. 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.
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 8 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.
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 6 September 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.
Mundo Sombrio | crimes, assassinatos, acidentes, catástrofes, sem censura @MundoSombrioBrasil · 18,931 Telegram ranks this channel #2 of 83 here — alongside 82 others — read 2 October 2026
IA VIAJERO 🤖 @IAVIAJERO · 34,648 Telegram ranks this channel #7 of 78 here — alongside 77 others — read 4 September 2026
Hi, AI • Noticias sobre la IA @hiaimediaes · 59,401 Telegram ranks this channel #7 of 67 here — alongside 66 others — read 21 August 2026
Filipe Macroval @filicrovaltg · 21,142 Telegram ranks this channel #8 of 75 here — alongside 74 others — read 22 September 2026
ROLLO CHINO @rollo_chino · 27,031 Telegram ranks this channel #8 of 83 here — alongside 82 others — read 10 September 2026
Alejandro Martinez @alejandromartinez · 21,386 Telegram ranks this channel #11 of 77 here — alongside 76 others — read 22 September 2026
Ecoinventos @ecoinventos · 26,150 Telegram ranks this channel #11 of 88 here — alongside 87 others — read 12 September 2026
Andro4all @andro4all · 36,521 Telegram ranks this channel #12 of 74 here — alongside 73 others — read 1 September 2026
Depresión económica (Economía, crisis, dólar, finanzas de América Latina, México, Argentina y del mundo) @DepreEconomica · 20,240 Telegram ranks this channel #13 of 84 here — alongside 83 others — read 26 September 2026
Buzz 💬 Citas @buzzcitas · 61,033 Telegram ranks this channel #14 of 82 here — alongside 81 others — read 21 August 2026
Buzz💡 Datos interesantes @buzzdatos · 117,948 Telegram ranks this channel #14 of 83 here — alongside 82 others — read 13 August 2026
Happy Wellness @bienestar · 24,947 Telegram ranks this channel #19 of 74 here — alongside 73 others — read 14 September 2026
CODIGO OCULTO - Canal @codigoocultocom · 18,723 Telegram ranks this channel #21 of 73 here — alongside 72 others — read 3 October 2026
BB Sports TV 3 CH @bbsportstv3ch · 49,593 Telegram ranks this channel #22 of 60 here — alongside 59 others — read 18 September 2026
La Biblioteca de Alejandría @La_Biblioteca_De_Alejandria · 64,897 Telegram ranks this channel #24 of 63 here — alongside 62 others — read 29 September 2026
Tips de Telegram @TelegramTipsES · 1,450,525 Telegram ranks this channel #24 of 85 here — alongside 84 others — read 14 August 2026
Cursos Gratis @CursosFacialix · 50,891 Telegram ranks this channel #25 of 28 here — alongside 27 others — read 5 September 2026
La señal curiosa @Curiosa_Senal · 32,751 Telegram ranks this channel #28 of 77 here — alongside 76 others — read 3 September 2026
¡Hay que verlo! @hayqverlo · 23,326 Telegram ranks this channel #31 of 82 here — alongside 81 others — read 17 September 2026
Xataka @xataka · 48,837 Telegram ranks this channel #34 of 86 here — alongside 85 others — read 25 August 2026
Buzz 📚 Historia @buzzhistoria · 73,653 Telegram ranks this channel #34 of 80 here — alongside 79 others — read 19 August 2026
Noticias de Telegram @TelegramES · 145,130 Telegram ranks this channel #35 of 83 here — alongside 82 others — read 14 August 2026
Un día como hoy @undiacomo · 28,779 Telegram ranks this channel #36 of 79 here — alongside 78 others — read 8 September 2026
Billonario @ibillonario · 50,590 Telegram ranks this channel #38 of 83 here — alongside 82 others — read 24 August 2026
This channel appears in 66 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.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“tech lado - IA, ChatGPT, tecnología, robots” (@techladotech), 29,613 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/techladotech.
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.