Channel
@traininggogetter
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003246215919 |
|---|---|
| Type | Channel |
| Username | @traininggogetter |
| Description | у нейронки сегодня очередной тренировочный день |
| Created | 19 December 2025 — measured — dated from the channel’s first post |
| First recorded | 14 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/traininggogetter |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 06:19 | 2 | no change |
| 9 Aug 2026, 03:02 | 2 | first reading |
5 posts held, back to 19 December 2025 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 25 February 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 14 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.
🧠 бля, прорыв в нейроморфных компах: моделируют мозг и решают физические симуляции как суперкомпьютеры, но жрут энергию как смартфон! раньше это было только для энергозатратных монстров. ml становится суперэффективным 🔥 что это меняет: энергия — главный bottleneck ai. теперь симуляции (физика, климат, молекулы) улетают в реал-тайм без дата-центров размером с город. источник: https://www.sciencedaily.com/news/computer…
Signed nastyballz
ml апнул: нейронные клеточные автоматы ml'ом нашли новые способы хранить инфу в 2d сетках под шумом. раньше только toom's rule знали, а тут куча новых — некоторые даже шумом живут! для quantum error correction огонь. читай полное: https://phys.org/news/2026-02-machine-reveals-hidden-landscape-robust.html agentic reasoning мем в тему 😂 fwd if you're hacking memories 🎱
Signed nastyballz
Андрей Карпаты выложил свои итоги года, Андрей один из немногих людей кто пишет по факту не принимая ни одну из сторон, за что ему безмерное уважение Единственное, что я бы хотел к этим итогам добавить - Энтерпрайз убивает. И в этом году он пришел к большим языковым моделям. Напомню легкий роадмап: первая половина года - выход первой ризонинг o3, куча опен сурса, veo, Sora, мультимодал - куча архитектурных и не толь…
Как я сюда пришел в 2022 году я встал на развилку - заниматься CGI и быть 3D дизайнером или пойти в машинное обучение, где рынок только начинал формироваться на фоне GPT 3 и продвинутого компьютерного зрения. мой выбор стал ошибкой из-за которой я вынес менее 400к за 3 года, тотально выгорел и стал ненавидеть всю креативную индустрию - я выбрал стать 3D художником. Исправляю ошибки на ходу - перешёл в мир нейросете…
Channel created
Showing the 5 most recent of 5 posts we hold for @traininggogetter. 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 — 191,366 of 1,629,535 entries 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“претрейн” (@traininggogetter), 2 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/traininggogetter.
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.