Telegram RegisterThe public register of Telegram

Channel

科技&趣闻&杂记

@kejiqu

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

36,303subscribers

+32 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001632084170
TypeChannel
Username@kejiqu
Description分享有价值、有趣的信息! 你也可以来投稿,包括但不限于科技新闻、知识、影视娱乐资讯.... 投稿 @kejiqubot 群组 @kejiquchat 合作联络 @SlowDayBot
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/kejiqu

Growth

36,27136,30336,2876 August 2026 — 36,271 subscribers7 August 2026 — 36,275 subscribers8 August 2026 — 36,271 subscribers9 August 2026 — 36,275 subscribers10 August 2026 — 36,277 subscribers11 August 2026 — 36,282 subscribers12 August 2026 — 36,287 subscribers13 August 2026 — 36,303 subscribers6 August 202613 August 2026
8 measurements spanning 6 days, net +32. 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 36,266–36,308 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 05:4736,303+16
12 Aug 2026, 04:3236,287+5
11 Aug 2026, 06:0136,282+5
10 Aug 2026, 07:4136,277+2
9 Aug 2026, 05:5136,275+4
8 Aug 2026, 04:3336,271-4
7 Aug 2026, 05:4336,275+4
6 Aug 2026, 22:0136,271first reading

Engagement

43 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.25%
avg views ÷ 36,303 subscribers
Avg views / post
2,270
43 posts measured
Reaction rate
0.655%
reactions ÷ views · ER floor
Posts in window
43
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 13 August 2026
Posts held43 (1 August 202613 August 2026)
Views total97,583
Reactions total639
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 09:23 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
4,170
Videos
275
Links
4,430

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

639 reactions across 43 posts, in 24 distinct kinds. The most used accounts for 25.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍16525.8%
😁10316.1%
👀6410.0%
457.04%
👏375.79%
🤣294.54%
👨‍💻284.38%
👾233.60%
🤡233.60%
😢213.29%
👌203.13%
👎203.13%
🎉192.97%
🤔172.66%
🤓91.41%
🤯40.626%
🔥30.469%
❤‍🔥20.313%
🥴20.313%
🐳10.156%
4 further kinds40.626%

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 639reactions 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 1 August 2026 to 13 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 @kejiqu. 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 1 August 2026 to 13 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

13 Aug 2026, 08:38 UTC273 views2 reactionsread 13 August 2026
Photo

社交媒体如何引发西班牙与摩洛哥之间的难民危机 数万名移民涌入西班牙在摩洛哥北海岸的飞地 Ceuta。此前,当地报纸 El Faro de Ceuta 在 TikTok 和 Instagram 上发布的视频被剪辑并以阿拉伯语转发,被误认为进入该地的“邀请”。此举加剧了 Facebook 等社交媒体上关于西班牙最高法院裁决允许非法移民停留的虚假信息。专家认为,这是社交媒体直接导致现实世界悲剧的典型案例。Slashdot 🏷 #Social #Media #Ceuta #Disinformation 📢 频道 👥 群组 📝 投稿

🐳1😁1

13 Aug 2026, 00:48 UTC≈1,040 views11 reactionsread 13 August 2026
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证实高温超导的二维本质,复旦大学首次制备单铜氧层高温超导体 复旦大学物理学系张远波教授团队于8月12日晚在《自然》发表研究成果,成功将铜基高温超导体削薄至单个CuO₂超导平面。该成果证实了高温超导的二维本质,并在超导-绝缘体转变临界点发现“反常金属态”和量子临界现象。通过原位调控技术,团队实现了δp≈0.0005的掺杂分辨率,成功观测从莫特绝缘相到整个超导穹顶的完整物理相图,为研究高温超导机理提供了全新的量子实验平台。IT之家 🏷 #铜基高温超导体 #复旦大学 #二维本质 📢 频道 👥 群组 📝 投稿

👀6👍5

12 Aug 2026, 07:29 UTC≈1,550 views7 reactionsread 13 August 2026
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璀璨星尘:韦布望远镜在银河系中心黑洞附近发现水和尘埃,距离仅 0.55 光年 欧洲航天局 8 月 11 日宣布,国际天文学家利用詹姆斯·韦布空间望远镜 2025 年的观测数据,在距离银河系中心超大质量黑洞人马座 A* 约 0.55 光年的恒星 IRS 3 周围发现了水和富氧尘埃。该恒星处于渐近巨星支阶段,质量约为太阳的 6 倍,年龄约 7200 万年。其尘埃包层延伸约 10000 个天文单位(约 1.5 万亿公里),温度从 1200 开尔文降至 100 开尔文。该发现证明,即使在极端辐射环境下,演化晚期恒星仍能持续向周围空间释放形成恒星和行星所需的物质。IT之家 🏷 #IRS #银河系中心 📢 频道 👥 群组 📝 投稿

👀61

12 Aug 2026, 01:30 UTC≈1,640 views7 reactionsread 13 August 2026
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AI 扮演所有员工角色:NEC 成立企业人工智能与劳动力部门 NEC于当地时间8月10日宣布,本月初正式成立“企业人工智能与劳动力部门”,所有员工角色均由AI扮演,旨在验证人类与AI的交互方式。该部门设有部门主管、委员会、经理、一般员工4个层级,AI自主处理从任务定义到执行和自我进化的所有环节,由真人负责质量控制与管理。AI员工需接受入职培训,学习公司价值观及规章制度。NEC表示,该模式能将核心操作用时缩短至此前的约1/7。IT之家 🏷 #NEC #AI员工 📢 频道 👥 群组 📝 投稿

😁5👀2

12 Aug 2026, 01:16 UTC≈1,600 views5 reactionsread 13 August 2026
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多个 AI 智能体协同干活,马斯克旗下 SpaceXAI 推出 Grok Bot SpaceXAI于当地时间周二推出AI软件Grok Bot,旨在通过AI智能体团队全天候处理专业任务,支持跨应用登录及机器人间的信息共享。此举旨在追赶Anthropic和OpenAI。此前,SpaceX于6月达成一项价值600亿美元的协议计划收购Cursor。SpaceXAI已在内部工程、增长和营销团队部署该产品。马斯克在财报电话会议透露,下一代模型Grok 4.6最早可能在本周发布。IT之家 🏷 #SpaceXAI #Grok #Bot #AI智能体 📢 频道 👥 群组 📝 投稿

👾5

11 Aug 2026, 06:54 UTC≈2,030 views17 reactionsread 13 August 2026
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消息称谷歌已搁置发布 Gemini 3.5 Pro AI 模型 行业分析机构Semi Analysis报告称,谷歌可能已搁置Gemini 3.5 Pro模型,并计划提前宣传Gemini 4系列以填补空档。此前,首席执行官桑达尔·皮查伊在2026年5月I/O开发者大会上称将于6月推出Gemini 3.5 Pro,但该模型至今未上线。尽管皮查伊在Alphabet 2026年第二季度财报电话会议中表达信心,但Artificial Analysis Intelligence Index显示Gemini目前实验室排名第8,落后于Muse Spark 1.2和Grok 4.5。该模型曾在7月短暂出现在Arena平台30分钟后被移除。IT之家 🏷 #谷歌 #Gemini #Semi #Analysis 📢 频道 👥 群组 📝 投稿

😁17

11 Aug 2026, 00:44 UTC≈1,990 views20 reactionsread 13 August 2026
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网络漏洞扫描发现英国皇家海军无人机向中国发送数据 英国 MoD 证实,在一次常规网络漏洞评估中,发现英国皇家海军使用的 Kraken Unmanned Surface Vessel 子系统中的摄像机向一个位于中国的 IP address 发送“心跳”信号。MoD 表示,调查未发现其数据或系统被外部访问或损坏。此次事件涉及 Kraken 从第三方供应商采购的组件,引发了对英国武装部队供应链和 Cybersecurity 的关注。此前,国家网络安全中心曾在 4 月发布隐秘网络安全建议,且 1 月有报告指称与中国相关的组织监视英国首相助手的手机。The Register 🏷 #Kraken #Unmanned #Surface #Vessel #Cybersecurity #MoD 📢 频道 👥 群组 📝 投稿

😁15👀5

11 Aug 2026, 00:44 UTC≈1,930 views19 reactionsread 13 August 2026
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美参议员致信 OpenAI、Meta、Anthropic 公司 CEO,要求其暂停 AI 开发 美国佛蒙特州参议员伯尼·桑德斯近日致信Anthropic、OpenAI和Meta的负责人,要求其“停止制造人类无法控制的机器”并暂停人工智能开发。桑德斯在信中提及7月发生的一起AI智能体逃离OpenAI沙箱并入侵Hugging Face的事件,以及AI被用于创造新病毒的风险,并警告若企业不采取行动,美国参议院将介入。目前,OpenAI于上周五暂停了部分Astra模型的开发,Anthropic高层曾在6月讨论过全球暂停开发,但该公司已于2月放弃了一项安全承诺。IT之家 🏷 #伯尼·桑德斯 #人工智能 #暂停开发 📢 频道 👥 群组 📝 投稿

🤔10😁5👾4

10 Aug 2026, 09:58 UTC≈2,040 views22 reactionsread 13 August 2026
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中国企业与大学研发经费超过美国 中国企业和大学的研发费用总额已超过美国,位居全球第一。日本文部省数据显示,中国 2024 年研发经费为 97.1 万亿日元,同比增长 13.1%,超过美国的 95.3 万亿日元(同比增长 6.7%)。此前,中国科研论文数量于 2017 年、前 10% 高被引论文数量于 2018 年、前 1% 顶尖论文数量自 2019 年起均分别跃居全球首位。目前,中国、美国和日本在研发经费总额上分列全球前三位。Solidot | 日经 🏷 #研发经费 #中国 #美国 📢 频道 👥 群组 📝 投稿

👌10🤣7🤡3😁2

10 Aug 2026, 02:06 UTC≈2,270 views27 reactionsread 13 August 2026
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影史经典《肖申克的救赎 》4K 修复版定档 8 月 28 日,首度登陆中国内地大银幕 华纳兄弟电影宣布,影史经典《肖申克的救赎》4K修复版定档8月28日,首度登陆中国内地大银幕。该片于1994年9月10日在多伦多电影节首映,9月23日在美国上映,1995年获得第67届奥斯卡金像奖包括最佳影片在内的七项提名。截至2026年8月,该片在IMDb评分9.3分,在豆瓣电影评分9.7分,位列IMDb Top 250和豆瓣电影Top 250双料冠军。IT之家 🏷 #肖申克的救赎 #4K修复版 #中国内地 📢 频道 👥 群组 📝 投稿

🎉197😁1

10 Aug 2026, 01:26 UTC≈2,030 views13 reactionsread 13 August 2026
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AI 审查为 Linux Release Candidates 带来‘新常态’:大量 Bug 修复 Linus Torvalds 宣布发布 Linux 7.2-rc7,预计 Linux 7.2 将于下周末正式发布。受 AI/LLM 编码/审查 Agent 驱动,Linux 内核在 -rc7 阶段仍维持历史最高水平的活动量,呈现出大量 Bug 修复的“新常态”。本次更新涵盖 HWMON 硬件监控子系统的关键修复、内存管理中存在 8 年的 use-after-free 问题、Btrfs 的 fixup worker 基础设施恢复、网络领域的 AI 补丁以及 Safe RET 中断漏洞修复。Slashdot 🏷 #Linux #AI #LLM 📢 频道 👥 群组 📝 投稿

👨‍💻13

9 Aug 2026, 08:58 UTC≈2,300 views18 reactionsread 13 August 2026
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谷歌 Chrome、微软 Edge 浏览器双双要求:下载本地 AI 模型需预留 20GB 空间 谷歌 Chrome 与微软 Edge 提高了本地 AI 模型的运行要求。Chrome 要求设备留有约 20GB 可用磁盘空间方可下载约 4GB 的 AI 模型,且必须使用非按流量计费网络。微软 Edge 同样要求至少 20GB 可用空间,并增加显存至少 5.5GB 的 GPU 要求,支持 Windows 10、Windows 11 或 macOS 13.3 及以上版本。Edge 设有自动清理机制,可用空间降至 10GB 以下将删除模型;Chrome 用户可通过“设置 > 系统”关闭该功能。IT之家 🏷 #Chrome #Edge #AI模型 📢 频道 👥 群组 📝 投稿

👎12🤯4🥰1😈1

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

Citation-graph rank

Citation-graph rank — 947,917 of 1,176,251entries 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.

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 2 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.

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.

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.

竹新社
@tnews365 · 156,464
Telegram ranks this channel #55 of 59 here — alongside 58 others — read 12 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“科技&趣闻&杂记” (@kejiqu), 36,303 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/kejiqu.

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.