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Channel

منابع هوش مصنوعی - جستجوی یک شیرازی

@Shirazi_AI_Search

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

702subscribers

+114 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-1002550769749
TypeChannel
Username@Shirazi_AI_Search
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/Shirazi_AI_Search

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 20 September 2026 and assigned it the closest of 31 fixed categories, at 83% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

5887026456 August 2026 — 588 subscribers7 August 2026 — 588 subscribers24 August 2026 — 593 subscribers1 September 2026 — 592 subscribers9 September 2026 — 698 subscribers17 September 2026 — 702 subscribers6 August 202617 September 2026
6 measurements spanning 42 days, net +114. 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 571–719 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 21:00702+4
9 Sept 2026, 17:56698+106
1 Sept 2026, 04:14592-1
24 Aug 2026, 05:47593+5
7 Aug 2026, 17:04588no change
6 Aug 2026, 23:33588first reading

Engagement

18 posts held, back to 18 April 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 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 18 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

56 reactions across 18 posts, in 4 distinct kinds. The most used accounts for 57.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3257.1%
🙏1221.4%
🔥1119.6%
🫡11.79%

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 18 of the 18 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 56 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 18 April 2026 to 3 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

3 Aug 2026, 17:49 UTC102 views4 reactionsread 6 August 2026
Photo

CS329A Self-Improving AI Agents, Fall 2025, Stanford University (Reading, Videos) https://www.youtube.com/playlist?list=PLangBM27OtEA https://cs329a.stanford.edu/#intro #course #youtube

🔥3🙏1

3 Aug 2026, 17:45 UTC102 views2 reactionsread 6 August 2026
Photo

CS229: Machine Learning, Spring 2026 , Stanford University (Videos) https://cs229.stanford.edu/index.html-spr26 https://www.youtube.com/playlist?list=PLaqpC4kq8Gpw #course #youtube

🙏2

24 Jul 2026, 05:41 UTC244 views4 reactionsread 6 August 2026
Photo

CS479 Machine Learning for 3D Data (KAIST, Spring 2026) (Slides, Videos) https://3dml.kaist.ac.kr/ #course #youtube

👍4

3 Jul 2026, 18:15 UTC401 views3 reactionsread 6 August 2026
Photo

15-442/15-642: Machine Learning Systems, 2026, CMU https://mlsyscourse.org/ #course

👍3

3 Jul 2026, 18:13 UTC566 views4 reactionsread 6 August 2026
Photo

Modern GPU Programming For MLSys, Online Book https://mlc.ai/modern-gpu-programming-for-mlsys #book

👍4

18 Jun 2026, 11:59 UTC409 views3 reactionsread 6 August 2026
Photo

6.S184: Generative AI with Stochastic Differential Equations (Theory and Practice of Flow and Diffusion Models), 2026, MIT https://diffusion.csail.mit.edu/ https://www.youtube.com/playlist?list=PL57nT7tSGAAXwjhDYcxEycx5W7YoSrZyt #course #youtube

👍2🫡1

18 Jun 2026, 11:55 UTC374 views1 reactionsread 6 August 2026
Photo

Modeling: MultiModal AI, MAS.S60, 6.S985 • Spring 2026 • MIT (Slides) https://mit-mi.github.io/mmai-course/spring2026/ #course

👍1

6 Jun 2026, 10:15 UTC382 views4 reactionsread 6 August 2026
Photo

MS&E 435, Economics of the AI Supercycle, Spring 2026 , Stanford (Reading , Videos) https://mse435.stanford.edu/ https://www.youtube.com/playlist?list=PLoROMvodv4rOAe_DtQYOCKy6_x3irEYV1 https://www.youtube.com/@MSE435EconomicsofAI #youtube #course

👍4

26 May 2026, 10:03 UTC≈1,900 views3 reactionsread 6 August 2026
Photo

🚀 Curated ML/DL Courses in Healthcare & Biomedicine 💡 Looking to master AI in medicine? Here is a curated collection of world-class courses from leading universities, complete with open-access lecture slides, modules, and reading lists: 🏛 Harvard University ▪️ BMIF 203: Artificial Intelligence in Medicine II 🔗 https://zitniklab.hms.harvard.edu/AIM2/ ▪️ BMI 702: Biomedical Artificial Intelligence 🔗 https://zitniklab

🔥3

19 May 2026, 09:55 UTC406 views2 reactionsread 6 August 2026
Photo

6.S191:Introduction to Deep Learning , MIT, Spring 2026 (Slides, Videos) https://introtodeeplearning.com/ https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI #course #youtube

👍2

17 May 2026, 17:26 UTC415 views3 reactionsread 6 August 2026
Photo

Deep Generative Models, Summer 2026, University of Toronto, Instructor: Ali Bereyhi, (Videos, Slides, ...) https://bereyhi-courses.github.io/genai-utoronto/ https://www.youtube.com/playlist?list=PLcFgNUo9s_AjyqywMBxw57B7dLbbMwJ__ #course #youtube

👍3

16 May 2026, 18:30 UTC630 views4 reactionsread 6 August 2026
Photo

Fundamentals of Machine Learning , New York University, Spring 2026 (vibe-coded projects) https://kyunghyuncho.me/teaching-fundamentals-of-machine-learning/ #course در این درس «مبانی یادگیری ماشین» استاد درس با ابتکاری جالبی برای مفاهیم تدریس شده در هفته یک پروژه نرم‌افزاری واقعی و کامل (شامل فرانت‌اند، بک‌اند، تزریق داده و مدل یادگیری ماشین) را با vibe-coding پیاده سازی کرده و لینک آنها را گذاشته است.

👍4

Showing the 12 most recent of 18 posts we hold for @Shirazi_AI_Search. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“منابع هوش مصنوعی - جستجوی یک شیرازی” (@Shirazi_AI_Search), 702 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Shirazi_AI_Search.

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.