Ну вот и повайбкодиди https://www.anthropic.com/news/fable-mythos-access что теперь обратно на 5.5? Подписку на клода интересно зарефандяд?)
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Channel
@rldoeswork
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
160subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002311156468 |
|---|---|
| Type | Channel |
| Username | @rldoeswork |
| Description | Канал про RL, Сознание и AGI |
| Created | Between 1 September 2024 and 12 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/rldoeswork |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 17:16 | 160 | no change |
| 7 Aug 2026, 23:11 | 160 | -1 |
| 7 Aug 2026, 15:34 | 161 | first reading |
16 posts held, back to 12 March 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 pageof 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 16 posts for this entry, the most recent from 13 June 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 8 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.
Measured directly from 2 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.
57 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 35.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ⚡ | 20 | 35.1% | |
| 🔥 | 16 | 28.1% | |
| 👍 | 15 | 26.3% | |
| 🤯 | 3 | 5.26% | |
| 🥴 | 3 | 5.26% |
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 10 of the 16 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 57reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 12 March 2025 to 13 June 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @rldoeswork. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 16 most recent posts we hold for this entry, published 12 March 2025 to 13 June 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Ну вот и повайбкодиди https://www.anthropic.com/news/fable-mythos-access что теперь обратно на 5.5? Подписку на клода интересно зарефандяд?)
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Миллион лет не писал сюда, потому что was cooking, если интересно что, и вдруг по воле случая будете в Белграде 31 мая, приходите на data fest! Расскажу, как мы с командой в Яндексе учили 🤖 робота-доставщика ездить с помощью чистого tabula rasa RL (без imitation learning, как раз те самые тысячи лет в симуляции, что тут не было постов), а потом выкатились в прод на улицы городов России! Внутри будет много интересны…
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Всех с Новым годом Ребятки!! ❤️ Новогодний подарочек будет чуть позже!😎
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оказывается, chatgpt агенту в atlas подсовывают подсказки, как и что делать прям на экран, чтоб он бедняга, справлялся. А он думает что это prompt injection и спрашивает у меня что с этим всем делать... Когда сами себя забороли. При этом с задачей отписки от рекламных рассылок он так и не справился, потому что каждая вторая ссылка была заблокирована для агента :)
Немного про промышленную разработку
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Dwarkesh продолжает радовать списком интересных гостей! На позапрошлой неделе выпустил интервью с Sergey Levine, со-основателем Physical Intelligence, про воплощение AI в физическом мире и будущее VLA. А сегодня вышло интервью с Rich Sutton, отцом основателем Reinforcement Learning и лауреатом премии Тьюринга. Несмотря на неоднозначные последнии идеи Рича (OaK Arсhitecture) и критику LLM-подхода, я считаю это Must …
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То есть хуже чем оригинальный о3, который нам не дали, и хуже чем грок4 на arc-agi
Переводим RL гейм в физический мир! Собрали so-arm100 , идея научить пару таких рук выполнял сообща интересные задачи на стыке visual reasoning x dexterity. Пока не придумал бенчмарк, но RL для реального мира конечно пока выглядит очень сложно и интересно! Stay tuned!
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Photo, posted without a caption
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Вышла вторая версия овервьюшки по RL (современному), теперь 177 страничек (было 144) Reinforcement Learning: A Comprehensive Overview https://arxiv.org/abs/2412.05265v2
https://www.youtube.com/watch?v=wo_e0EvEZn8 Наше восприятие не отражает мир напрямую — вместо этого мозг непрерывно генерирует и проверяет внутренние гипотезы, строя активную, предиктивную симуляцию реальности. Визуальная информация собирается фрагментарно и с минимальной чёткостью, затем интегрируется в согласованную модель, которая маскирует периоды сенсорной слепоты. Время и пространство также являются внутренне…
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короооч! учу transformer+ppo играть в craftax (aka 2d minecarft на jax) идея научиться агента думать перед тем как делать действие, примерно как новое поколение reasoning LLM (o1,o3-mini). Но только не текстом, а в латентном пространстве мысле-токенов сразу! stay tuned... код: github.com/Maharishiva/LiT-agent
Showing the 12 most recent of 16 posts we hold for @rldoeswork. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 798,292 of 1,160,990entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“rldoeswork” (@rldoeswork), 160 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/rldoeswork.
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.