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Channel
Torchino
@learn_ai1
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Cite this entry
148subscribers
+0 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 | -1002050455959 |
|---|---|
| Type | Channel |
| Username | @learn_ai1 |
| Description | شما میتوانید از اخبار روز دنیا در رابطه با هوش مصنوعی در اینجا خبر دار شوید 😉 میتونید سوالاتتون را از اینجا بپرسید https://t.me/gap_torchino |
| Created | Between 1 November 2023 and 31 May 2024— 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 | 2 |
| On Telegram | t.me/learn_ai1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 20:16 | 148 | no change |
| 7 Aug 2026, 12:44 | 148 | first reading |
Engagement
20 posts held, back to 24 August 2024 — 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
- 42.6%
- avg views ÷ 148 subscribers
- Avg views / post
- 63.0
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 20 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.
| Window | Rolling 30 days · latest post in window 21 July 2026 |
|---|---|
| Posts held | 20 (24 August 2024 – 21 July 2026) |
| Views total | 63 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 20:16 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
- 10
- Videos
- 4
- Links
- 27
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.
Reaction mix
108 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 36.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 39 | 36.1% | |
| 🔥 | 24 | 22.2% | |
| ❤🔥 | 18 | 16.7% | |
| ⚡ | 12 | 11.1% | |
| 🤣 | 7 | 6.48% | |
| ❤ | 4 | 3.70% | |
| 💔 | 3 | 2.78% | |
| 🆒 | 1 | 0.926% |
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 20 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 108reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 24 August 2024 to 21 July 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.
Telegram Stars
- Stars received
- 2
- across the posts below
- Posts paid on
- 1
- of 20 we hold a reading for · 5%
- Most on one post
- 2
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @learn_ai1. 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 20 most recent posts we hold for this entry, published 24 August 2024 to 21 July 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.
Recent posts
@Sql_Science
ماشالله ممبر های گروه ریختن 💔 ⚡️ دوستان توی این پست میخوام در رابطه با گرفتن بهترین نتیجه از هوش مصنوعی را بگم (نظر شخصی) 🟢 شما وقتی دارید یک کار مهم با chatgpt انجام میدید و میخواید بهترین جواب را بگیرید و حوصله و یا سواد زبان انگلیسی را ندارید که باهاش حرف بزنید. 🔵 باید اون را با بقیه مقایسه کنی ! 🎲 مثلا تو میخوای یک متن را با بهترین کیفیت ممکن ترجمه کنی! خب میری توی chatgpt و اینو بهش میگی: من ۱۸ سال هست که …
⚡8❤🔥6👍1🔥1
📱 برای گرفتن بهترین جواب از ChatGPT باید با زبان مادریش حرف بزنید! 🤖 هوش مصنوعی ها چون هیچی از دیتاستی که دارن معلوم نیست برای همیننمیدونیم که آیا دیتاست فارسی داره یا نه؟ یا اینکه جوابما را با گوگل ترنسلیت میده❗️ 🔸 شما وقتی با زبان انگیلیسی باهاش صحبت کنید انگار دارید به زبان مادری اون حرف میزنید و خب راحت تر میتونه حرف بزنه ولی مثلا اگه دیتای فارسی کم داشته باشه مثل دانش آموزی هست که داره زبان فارسی یاد میگیر…
🔥8⚡2👍2
سلام دوستان، به دلیل باز شدن مدارس و شروع درس ها فعالیت کمی کم میشه! ولی اگه شما با پرمیومی که دارید چنل مارا هم بوست کنید، انرژی بیشتری میگریم سعی میکنیم فعالیت کانال را بیشتر از قبل کنیم😁 لینک بوست: https://t.me/boost/learn_ai1
💔3
🤍آموزش 🐸 کتاب #NLP 🔸 برای افرادی که علاقه مند به حوزه ی پردازش متن هستند یکی از بهترینکتاب ها برای شروع هست. 🔸 سطح دانشی که میخواد این کتاب را بخونید سطح معمولی در یادگیری ماشین هست. 🧠 @learn_ai1
❤🔥4👍3🔥3
من کلی تحقیق کردم که openai چیکار کرده که تونستی همچین پیشرفتی کنه! کلی سایت را زیر و رو کردم و حتی از هوش مصنوعی های متفاوت هم پرسیدم که چطوری اینکارو کرده، چیو تغییر داده؟! بعد از تحقیق ها به نتایج زیر دست یافتم: 1.پیشرفته تر کردن الگورتم هاشون 2.داده های خیلی خیلی بیشتری بهش دادن 3.توکن های استدلال داره، یعنی میتونه مسائل پیچیده را تقسیم کنه به قسمت های کوچیک تر، مثلا اگه بهش یک مسئله ی ریاضی پیچیده بهش بدین …
🔥4👍3
یک پست مفید، آخرین مدل پیشرفته OpenAI به نام o1 را به این صورت خلاصه کرده است: 🔹 بهبود کیفیت: دلیل بهبود این مدل، توانایی آن در استدلال قبل از ارائه پاسخ است. در حالی که خودِ فرآیند استدلال نشان داده نمیشود، یک خلاصه سطح بالا از آن ارائه خواهد شد. 🔹 پیشرفت در استدلال: مدلهای قبلی نیز میتوانستند استدلال کنند، اما با کارایی کمتر. تمرکز OpenAI بر بهبود توانایی مدل در رسیدن به پاسخ صحیح از طریق اصلاح و استدلال مکرر …
👍7
میخوای هوش مصنوعی را یاد بگیری؟ نمیدونی باید از کجا شروع کنی؟ چیا یاد بگیری؟ فقط روی این لینکی که گذاشتم کلیک کنید : https://roadmap.sh/ai-data-scientist شما وارد یکی از برترین سایت هایی که رودمپ های هر حوزه را میزاره شدید 😁 یکی از کامل ترین رودمپ ها در این وب سایت قرار گرفته! که همه چیز را بهت میگه! و قشنگ راه رو جلوت میزاره دیگه چی میخوای؟🤪
👍9
روز برنامه نویس را به شما دوستان عزیز تبریک میگم🥳 امیدوارم سالی بدون باگ داشته باشین بهترین پرفورمنس را از توی مدل هاتون بگیرید😄 و بهترین مدل های جهان را طراحی کنید و باگ کمتر توی کدتون باشه😁 و کافئین خونتون هم همیشه بالا باشه و همیشه پر انرژی و خندون باشید :)
❤🔥8👍1🔥1
درضمن نگران دیتاست نباشید 😁 چیزی که زیاده داده هست (توی گوگل البته) با اسکرپت کردن میتونیم کلی داده بدست بیاریم مثلا از پذیرش ۲۴ و ... داده ی پزشکی گیتهاب و ... داده ی برنامه نویسی برای آشپزی نمیشناسم ولی راه حل دیگه ای دارم برای گرفتن داده
در ضمن تمامی مدل ها اوپن سورس هست! ورژن اولیه ربات که فقط میتونه حرف بزنه(مثل یک آدم!) تا روز های آینده درست میشه و الان در مرحله ی آموزش مدل و تست هستیم برای ورژن دوم چی کار کنیم؟ انتخواب کنید
Showing the 12 most recent of 20 posts we hold for @learn_ai1. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
دوستان ما چه رباتی بسازیم از ما حمایت میکنید ؟!
- دکتر بشه(به درد هایی که داریم جواب بده)35%
- برنامه نویس(فقط کد بزنه)55%
- اشپز(دستورعمل پخت غذا ها را بگه...)18%
- توی گزینه ها نیست پس توی کامنت میگم18%
The shares total 126%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
دوستان شما بین پردازش متن و پردازش تصویر کدوم را انتخواب میکنید ؟ صرفا توی این نظر سنجی علاقه را کنار بزاید !!
- پردازش تصویر (camputer vision)49%
- پردازش متن (nlp, llm)51%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 24 August 2024 to 21 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 745,572 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.
Forward network
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.
Mentions
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Torchino” (@learn_ai1), 148 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/learn_ai1.
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.