Борис описывает проблему, которая, на мой взгляд, является законом Лемана на стероидах (второй закон эволюции ПО): Код будет гнить, если его гниению активно не противодействовать. Это всегда было актуально и для человеческой разработки, особенно в больших проектах. Проблема с агентами в том, что с ними проект растёт и развивается гораздо быстрее, чем раньше, а значит, и гнить он начинает быстрее. Но я считаю, что…

Channel
Links and Huita
@linksandhuita
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
60subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001109047576 |
|---|---|
| Type | Channel |
| Username | @linksandhuita |
| Created | 7 August 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 10 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/linksandhuita |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 16:45 | 60 | +1 |
| 10 Aug 2026, 06:00 | 59 | no change |
| 7 Aug 2026, 19:54 | 59 | first reading |
Engagement
19 posts held, back to 16 May 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 · 30 days
- 36.9%
- avg views ÷ 60 subscribers
- Avg views / post
- 22.1
- 9 posts measured
- Reaction rate
- 4.35%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 19 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 1 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 19 (16 May 2026 – 8 August 2026) |
| Views total | 199 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 06:00 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
- Video runtime
- 15s
- Average length
- 15s
Measured directly from 1 video 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1 | 100.0% |
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 1 of the 19 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 16 May 2026 to 8 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
Re: Elevators Back in highschool, simulating different elevator algorithms was one of the projects I implemented during my CS class. It wasn't for the class — AP CS did not require anything like actual programming — but it was a fun project. A cool connection is that a spinning-disk hard drive (HDD) is actually kind of like one really long elevator, just wrapped around a spindle instead of perfectly vertical. The S…
весь computing stack раньше был монолитным и потом разделялся на части, как только для этого появлялся интерфейс AI при этом всё ещё на mainframe-стадии, то есть одна гигантская модель мне кажется это все еще не декомпозировалось потому что интерфейс между моделями сейчас это текст, а текст это последнее, что производит модель, то есть summary всего, что она посчитала и поэтому при каждой передаче от одной модели к…
#ml CS329A Self-Improving AI Agents by Stanford Online https://www.youtube.com/playlist?list=PLangBM27OtEA
#people #programming Reliability Lessons From SQLite - Richard Hipp | SSW 2026 https://www.youtube.com/watch?v=V_qzqY1bb7I Рекомендует DO-178B, Software Considerations in Airborne Systems and Equipment Certification https://en.wikipedia.org/wiki/DO-178B sqlite используют системные вызовы через свой интерфейс, чтоб во время тестов можно было подставлять свою имплементацию с детерминированными фейлами файловой систе…
👍1
Deep RecSys Course — В С Ё! Вот и все! Неплохой получился курс: интересный, весёлый, порой немного грустный, а главное поучительный... Получилось 13 лекций: 1. Введение в рекомендательные системы 2. ML дизайн рекомендательных систем 3. Двухбашенные нейросети I: обучение 4. Двухбашенные нейросети II: архитектура 5. Нейросетевое ранжирование I: обработка признаков 6. Нейросетевое ранжирование II: слои 7. Рекомендации…
Wake up, honey, a new Google DeepMind RecSys paper just dropped. Вышла статья ORBIT: Preserving Foundational Language Capabilities in GenRetrieval via Origin-Regulated Merging от авторов TIGER и PLUM. Если натюнить LLM на рекомендательную задачу, она теряет способность "разговаривать", если не тюнить — качество рекомендаций плохое. Как получить модель, которая одновременно и разговаривает, и хорошо рекомендует? Пр…
Как развернуть отличный и дешевый ИИ у себя дома (Россия, 2026) 1) Оплата Я пользуюсь ботом @zarub_robot это удобно, но много комиссий (пополнение, перевод) Глючит на десктоп версии телеги (открываю с телефона) В остальном удобный быстрый и простой Пополняем (СБП, крипта и тд и тп) / Выпускаем карту в США И можно платить за что угодно - подтверждения приходят прям в телеграм 2) Подписка: Opencode - тариф GO (10$…
#programming #ml Сначала я думал "в чём проблема изоляции агентов? написал небольшой dockerfile, запускаешь агент в контейнере" Потом я захотел проделать этот трюк на macos и иметь доступ к torch.device("mps").
#hardware How I made a 60fps Eink Monitor, the Modos Flow https://www.youtube.com/watch?v=nHbA2-_qzH4 see also https://news.ycombinator.com/item?id=48583897
#people О Келдыше, Петровском, Тихонове, Хохлове, и других.... (Елена Борисовна Козельцева) https://web.archive.org/web/20150215233413/http://webground.su/rubric/2012/05/27/sport_badminton/retro/ >Елена Борисовна Козельцева (урождённая Листова; 22 мая 1914 — 25 мая 2010, Москва) — полковник КГБ, куратор, старший куратор МГУ им. М. В. Ломоносова со стороны органов безопасности (1948—1980).
#music Gaia Banfi - Europavox Sessions 2026 - ARTE Concert https://www.youtube.com/watch?v=-3vOI2Edb-Y
Showing the 12 most recent of 19 posts we hold for @linksandhuita. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Links and Huita” (@linksandhuita), 60 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/linksandhuita.
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.