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Homo Technicus

@homo_technicus

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

796subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001279236770
TypeChannel
Username@homo_technicus
DescriptionDer Mensch ist Etwas, das überwunden werden soll. Автор: @kendiukhov https://linktr.ee/kendiukhov
Created10 January 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held2
On Telegramt.me/homo_technicus

Growth

7966 Aug 2026, 03:36 — 796 subscribers6 Aug 2026, 15:32 — 796 subscribers6 Aug 2026, 03:366 Aug 2026, 15:32
2 measurements taken within a single day. 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 795–797 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 15:32796no change
6 Aug 2026, 03:36796first reading

Engagement

15 posts held, back to 27 July 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
46.9%
avg views ÷ 796 subscribers
Avg views / post
373
15 posts measured
Reaction rate
4.24%
reactions ÷ views · ER floor
Posts in window
15
of 15 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. It is computed over the 14 of 15 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held15 (27 July 20266 August 2026)
Views total5,595
Reactions total222
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 15:32 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
394
Videos
65
Links
457

Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

222 reactions across 14 posts, in 22 distinct kinds. The most used accounts for 29.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6529.3%
2812.6%
❤‍🔥2410.8%
👍2410.8%
😁188.11%
🫡125.41%
🍌73.15%
😢73.15%
62.70%
💅41.80%
😱41.80%
👎31.35%
😍31.35%
🤔31.35%
🤝31.35%
🤩31.35%
🦄31.35%
10.45%
👀10.45%
👾10.45%
2 further kinds20.901%

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 14 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 222reactions 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 27 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.

Recent posts

6 Aug 2026, 14:48 UTC99 views6 reactionsread 6 August 2026
Photo

Символічно, наступного дня я опинився в пабі Eagle, де проводили час Уотсон і Крік, коли працювали над відкриттям структури ДНК. Згідно з легендою, 28 лютого 1953 року Френсіс Крік увійшов сюди і проголосив: ми відкрили секрет життя. Завжди, коли я у подібних місцях Сили, виникають вайби сцени Бороміра з Нарсілом. Нехай честь і слава героїв давнини нададуть нам сил.

👍3🤩2🔥1

4 Aug 2026, 17:49 UTC268 views26 reactionsread 6 August 2026
Photo

Хлопці і дівчата, я думаю я подвоїв SOTA результат на gene regulatory network inference. Може, я якось неправильно рахую результати, але я намагався фальсифікувати як тільки міг, і воно працює. Я натренував новий тип фундаційної моделі і застосував нові методи GRN inference на ній. Буде звичайно прикро, якщо десь є помилка, але не виглядає так, що вона є. Я не збрехав собі і вам, коли порахував ентропію single cell

15❤‍🔥8👍1👾1🤨1

3 Aug 2026, 23:52 UTC282 views10 reactionsread 6 August 2026

Do not go gentle into that good night, Old age should burn and rave at close of day; Rage, rage against the dying of the light. Though wise men at their end know dark is right, Because their words had forked no lightning they Do not go gentle into that good night.

6💅4

3 Aug 2026, 23:30 UTC287 views14 reactionsread 6 August 2026
Photo

Takeoff, во плоті.

😢7😱4🔥1😁1😨1

3 Aug 2026, 10:07 UTC330 views22 reactionsread 6 August 2026
Photo

На могилі Томаса Байеса, передвісника ордену раціоналістів.

🔥19🦄3

2 Aug 2026, 18:52 UTC338 views12 reactionsread 6 August 2026

Ретроспективно, мені здається, що принаймні частиною імпліцитної мотивації з менторством була надія на те, що прийде хтось інший і вирішить проблеми. Напевно, мозок думав: якщо старші підвели, то може молодші зможуть щось зробити? Утім, надія на це не менш марна ніж надія на те, що у світі є компетентні дорослі. Ніхто не прийде. Або робиш сам, або не зробить ніхто.

🫡8👍31

1 Aug 2026, 17:24 UTC370 views7 reactionsread 6 August 2026

Рубрика "новини, які ви бачите в фільмі про AI takeover ближче до кінця": https://x.com/theojaffee/status/2083562674441625805

🫡4👎3

1 Aug 2026, 17:18 UTC361 viewsread 6 August 2026

І ще за півроку моделі досягли рівня фільдсівських медалістів і де-факто перевершили математичні здатності будь-якої людини. https://x.com/polynoamial/status/2083467194663571701.

1 Aug 2026, 01:53 UTC378 views16 reactionsread 6 August 2026

Якщо ви прийшли через статті і вам цікаво, як стільки публікуватися, то я можу розповісти. Я розповім коли буде час. Але якщо ви думаєте, що це через якийсь дуже спеціальний агентський сетап і секрет в ньому, то ні. У мене звичайно є агентські сетапи, але я б не сказав, що вони якісь особливі. Але я напишу і про них. Я думаю, якщо ви шукаєте якийсь "секрет", то головних "секрети" два: 1. Я знайшов дуже продуктивну те

👍14👀1😁1

31 Jul 2026, 11:12 UTC443 views18 reactionsread 6 August 2026

Кому цікаво, я релізнув свої напрацювання по теорії прийняття рішень починаючи з березня: https://www.lesswrong.com/posts/qjvXiuNZKJKdocxTT/the-entangled-dimensions-of-decision-theory-5. Це спроба зробити карту усіх можливих теорій прийняття рішень і знайти загальні закономірності того, які теорії є послідовними, а які ні. Більш загально, це дослідження того, які є закономірності розташування теорій прийняття рішень

❤‍🔥15🔥3

29 Jul 2026, 15:34 UTC461 views36 reactionsread 6 August 2026

А ще я отримав доступ до великого компьюту, практично необмеженого для моїх цілей. Багато блеквел чіпів. Я натреную найбільш потужні біологічні моделі в світі. Багато модальностей, нові архітектури, нові функції втрат. Мільярди параметрів. Вони стануть по відношенню до scGPT та Geneformer та навіть X-Cell тим, чим є світло Сонця до світла Місяця.

🔥225😍31❤‍🔥1👍1🤔1🤩1

Showing the 12 most recent of 15 posts we hold for @homo_technicus. 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 — 142,387 of 1,481,217entries 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

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

“Homo Technicus” (@homo_technicus), 796 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/homo_technicus.

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.