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Channel

בינה מלאכותית חדשות ועזרה AI

@ai_hebrew

2 usernames

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

5,854subscribers

+48 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001795297556
TypeChannel
Usernames@ai_free_men @ai_hebrew
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live2 September 2026
Measurements held9
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/ai_hebrew

Growth

15,8542,927.56 August 2026 — 5,806 subscribers7 August 2026 — 5,807 subscribers10 August 2026 — 1 subscribers17 August 2026 — 4 subscribers24 August 2026 — 5 subscribers30 August 2026 — 5,848 subscribers30 August 2026 — 5,848 subscribers30 August 2026 — 5,850 subscribers2 September 2026 — 5,854 subscribers6 August 20262 September 2026
9 measurements spanning 27 days, net +48. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Sept 2026, 17:275,854+4
30 Aug 2026, 23:135,850+2
30 Aug 2026, 07:305,848no change
30 Aug 2026, 07:155,848+5,843
24 Aug 2026, 16:175+1
17 Aug 2026, 10:064+3
10 Aug 2026, 09:261-5,806
7 Aug 2026, 08:475,807+1
6 Aug 2026, 23:465,806first reading

Engagement

43 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.2%
avg views ÷ 5,854 subscribers
Avg views / post
1,120
20 posts measured
Reaction rate
0.889%
reactions ÷ views · ER floor
Posts in window
20
of 43 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 August 2026
Posts held43 (29 July 202629 August 2026)
Views total22,499
Reactions total200
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Aug 2026, 07:30 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
2m 43s
Average length
1m 22s

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.

Reaction mix

563 reactions across 43 posts, in 24 distinct kinds. The most used accounts for 39.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍22339.6%
11019.5%
😁7413.1%
🤣5710.1%
🔥386.75%
👎91.60%
🤔91.60%
❤‍🔥71.24%
🥱61.07%
👨‍💻40.71%
🥴40.71%
👀30.533%
👏30.533%
😱30.533%
🤷‍♂20.355%
🥰20.355%
🫡20.355%
10.178%
👌10.178%
👾10.178%
4 further kinds40.71%

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 43 of the 43 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 563 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 29 July 2026 to 29 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 43 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ai_hebrew. 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 43 most recent posts we hold for this entry, published 29 July 2026 to 29 August 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

29 Aug 2026, 21:23 UTC577 views6 reactionsread 30 August 2026
Photo

עוד איפוס בקודקס

3🔥2👍1

28 Aug 2026, 10:03 UTC960 views9 reactionsread 30 August 2026

גוגל פתחה את “Expert Intelligence”: אפשר להכניס ספרים שקנית ב־Google Play Books ישירות ל־Gemini Notebook ולדבר איתם. ההשקה מתחילה ביותר מ־100 אלף ספרים של הוצאות כמו Penguin Random House, Macmillan, O’Reilly ו־Johns Hopkins University Press. אפשר לשאול שאלות כשהתשובות מבוססות ישירות על הספר, ליצור ממנו Audio Overview, חידונים ואינפוגרפיקות, וגם לשלב אותו עם מסמכים ומידע אישי אחר. גוגל בנתה גם מנגנון זכויות: אם משתפים

👍71🔥1

28 Aug 2026, 10:02 UTC928 views8 reactionsread 30 August 2026

סיסקו נתנה בפועל לכל 90 אלף העובדים שלה סוכן AI אישי. המערכת נקראת MyAgent והיא כבר נפרסת לכל כוח העבודה העולמי של החברה, לא כפיילוט קטן. העובד נותן מטרה, והסוכן יכול לתאם עבודה בין Outlook, ‏Webex, ‏Jira, ‏SharePoint ומערכות נוספות, תוך שמירת זיכרון מתמשך של העדפות והקשר. הוא בנוי על פלטפורמת Circuit של סיסקו, שמנתבת כל משימה בין מודלים וכלים מאושרים תחת בקרות ארגוניות. סיסקו אומרת שהשימוש הסוכני בתוך החברה צמח בכ־3

🥴4👍31

26 Aug 2026, 18:10 UTC≈1,190 views10 reactionsread 30 August 2026
Photo

גרוק בוט עכשיו מוכל בתוך המנוי הבסיסי של קרסר לי אין שימוש בו כרגע כלומר לא מצאתי משהו בשבילי שיעזור לי יותר מקודקס וגם לא משתמש כמעט בקרסר אבל איזה מילה זה מוכל חחח

👍64

26 Aug 2026, 16:35 UTC≈1,100 views3 reactionsread 30 August 2026

עליבאבא שחררה בפועל את Qwen3.8‑Flash‑Next, ועכשיו יש סוף סוף מפרט ובנצ׳מרקים מלאים. זהו מודל מולטימודלי MoE שמציג לראשונה את הארכיטקטורה שעליה ייבנה Qwen4. המודל הראשי הוא 125 מיליארד פרמטרים, עם עוד 51 מיליארד בפריסת N‑gram Embedding, אבל רק 6 מיליארד פרמטרים פעילים לכל טוקן. הוא תומך בטקסט, תמונות ווידאו, עם חלון הקשר טבעי של 262 אלף טוקנים שניתן להרחיב למיליון. המשקולות כבר זמינות להורדה, כולל גרסת FP8. והם הכניס

👍21

26 Aug 2026, 06:05 UTC983 views4 reactionsread 30 August 2026
Photo

עליבאבא נותנת היום הצצה ראשונה לדור הבא של מודלי Qwen. החברה צפויה לפתוח כ־open-weight את Qwen3.8-Flash-Next, מודל מולטימודלי חדש מסוג MoE שנבנה על הארכיטקטורה שמיועדת לשמש גם את משפחת Qwen4 העתידית. חשוב להדגיש שזה עדיין לא Qwen4 עצמו. עליבאבא משחררת את המודל בשלב מוקדם כדי שמפתחים והקהילה יוכלו להתחיל להתאים ספריות, כלי inference ותשתיות לארכיטקטורה החדשה עוד לפני ההשקה המלאה של Qwen4. המודל צפוי להגיע בשתי גרסאו

👍4

25 Aug 2026, 16:15 UTC≈1,090 views19 reactionsread 30 August 2026
Photo

תבקשו מגיפיטי לבחור מספר מ1 עד 30 משום מה תמיד זה 17 ניסיתי גם בגרסת הפרו

😁12👍42💋1

25 Aug 2026, 15:17 UTC≈1,030 views7 reactionsread 30 August 2026
Photo

חברת OpenAI פרסמה עכשיו את תוצאות הביצועים הראשונות של Jalapeño, שבב ה־AI הראשון שלה, והתוצאות נראות חזקות מאוד. השבב נבנה יחד עם Broadcom ומיועד ל־inference, כלומר להרצת מודלים ולא לאימון שלהם. בבדיקות על GPT‑OSS 120B, ‏DeepSeek R1 ו־Kimi K2.5, חברת OpenAI מדווחת על פי 1.5–1.9 יותר עבודת AI לכל ואט ועל פי 1.7–3.6 פחות latency מקצה לקצה לעומת מערכות ההשוואה; בעומסים אינטראקטיביים היתרון הגיע לפי 2.1–4.1. החברה מתכננ

👍6🔥1

25 Aug 2026, 14:50 UTC≈1,010 views9 reactionsread 30 August 2026
Photo

התאפס לי הקודקס לפתע עוד מישו ?

👍81

25 Aug 2026, 13:09 UTC995 views10 reactionsread 30 August 2026
Photo

חברת OpenAI חשפה היום מבצע השפעה רוסי חדש שבו השתמשו בצ׳אט גיפיטי כדי לקדם מכון מחקר שהציג את עצמו כישראלי. לפי OpenAI, היא חסמה אשכול חשבונות ש״בסבירות גבוהה מאוד״ הופעל מרוסיה באמצעות VPN והשתמש בצ׳אט גיפיטי כדי לייצר פוסטים ותגובות ל־X, לינקדאין, פייסבוק, סאבסטאק וטלגרם. הפעילות קידמה גוף בשם International Burke Institute, שטען שהוא מבוסס בישראל והציג ״מדד ריבונות״ שהציג את רוסיה באור חיובי וביקר מדינות מערביות. O

👍7🤣3

25 Aug 2026, 06:35 UTC≈1,030 views8 reactionsread 30 August 2026
Photo

מטא עולה להתקפה: סוכן AI חדש בדרך ומודל מסתורי בשם Watermelon מחכה באוקטובר מטא מתכוננת להרחיב משמעותית את פעילות ה־AI שלה עם שני מוצרים חדשים. לפי מסמכים פנימיים שנחשפו ב־The Information, החברה מכוונת להשיק כבר בסוף אוגוסט או בתחילת ספטמבר סוכן צרכני בשם הזמני Hatch, ובאוקטובר מודל חדש שמכונה Watermelon. (The Information) האץ׳ מתואר כגרסה פשוטה ונגישה יותר של OpenClaw. במקום רק לענות בצ׳אט, הוא אמור לבצע פעולות עב

3👍3👎1🤔1

Showing the 12 most recent of 43 posts we hold for @ai_hebrew. 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.

Mentions

Named by 3 registered channels — 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

LΣҒΔ𝕽ΩLL 🇮🇱
@Lefaroll · 29,898
Telegram ranks this channel #4 of 62 here — alongside 61 others — read 8 September 2026
חדשות סייבר - ארז דסה
@CyberSecurityIL · 40,473
Telegram ranks this channel #47 of 64 here — alongside 63 others — read 30 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“בינה מלאכותית חדשות ועזרה AI” (@ai_hebrew), 5,854 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/ai_hebrew.

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.