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Channel

奶思🍒资源分享|频道

@inaisi

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

14,127subscribers

+2,018 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001792928933
TypeChannel
Username@inaisi
CreatedBetween 1 January 2022 and 31 March 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/inaisi

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@inaisi/744 · this entry3 Aug 2026, 17:05 UTC@Aa28413761/22363 Aug 2026, 17:07 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Aa284137615 (5/5 hand-verifiable sample passed)1.0016 minutesthis entry (5–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 29 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @inaisi — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

12,10914,12713,1186 August 20267 November 2026
61 measurements spanning 93 days, net +2,018. 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 11,806–14,430 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
7 Nov 2026, 01:0614,127+16
6 Nov 2026, 00:1714,111+8
5 Nov 2026, 00:4914,103+10
3 Nov 2026, 21:1514,093+19
2 Nov 2026, 21:0714,074+26
1 Nov 2026, 21:3914,048+20
31 Oct 2026, 19:3914,028+13
30 Oct 2026, 22:5014,015+6
30 Oct 2026, 01:1814,009+8
28 Oct 2026, 23:0614,001+17
27 Oct 2026, 20:1013,984+35
26 Oct 2026, 19:1013,949+18
25 Oct 2026, 20:5713,931+21
24 Oct 2026, 20:2013,910+17
23 Oct 2026, 22:5513,893+11
23 Oct 2026, 00:0113,882+18
21 Oct 2026, 21:0913,864+9
20 Oct 2026, 15:1113,855+15
19 Oct 2026, 17:2113,840+21
18 Oct 2026, 14:5713,819first reading

Engagement

142 posts held, back to 29 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.6%
avg views ÷ 14,127 subscribers
Avg views / post
2,210
77 posts measured
Reaction rate
0.259%
reactions ÷ views · ER floor
Posts in window
77
of 142 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. It is computed over the 71 of 77 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 November 2026
Posts held142 (29 July 2026 – 6 November 2026)
Views total169,788
Reactions total417
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 18:09 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
5m 12s
Average length
35s

Measured directly from 9 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

1,085 reactions across 121 posts, in 27 distinct kinds. The most used accounts for 24.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤26324.2%
🤡25523.5%
👍19017.5%
👎14813.6%
💩655.99%
🤣282.58%
😁262.40%
👏242.21%
🤮211.94%
🤯111.01%
🎉90.829%
🔥80.737%
🍾40.369%
😨40.369%
😴40.369%
🤷‍♂40.369%
🥰40.369%
🏆30.276%
👀30.276%
💊30.276%
7 further kinds80.737%

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 134 of the 142 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 1,085 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 142 most recent posts we hold, published 29 July 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 7 of 77 posts held from the last 30 days (9.09%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 16:12 UTC526 views5 reactionsread 6 November 2026
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📱 苹果拟取消iPhone独立操作按钮,与相机控制键合并 据微博知名爆料人士刹那数码透露,苹果正考虑将iPhone机身侧面的操作按钮(Action Button)与相机控制键(Camera Control)合二为一,从2027年下半年发布的新款iPhone开始实施。 ▫️ 整合后:相机控制键保留原位置,同时承担操作按钮功能。单击启动相机,长按触发此前分配给操作按钮的自定义功能(如静音模式、专注模式、手电筒、快捷指令等)。 ▫️ 背景:操作按钮于2023年随iPhone 15 Pro系列首次引入,取代静音拨片;相机控制键于2024年随iPhone 16系列推出,支持轻按、滑动调整相机参数。 ▫️ 争议:相机控制键操作逻辑较复杂,部分用户认为使用频率不高且易误触。合并或为赋予其更多实用价值。 ▫️ 其他动态:苹果首款折叠屏iPhone Duo已无独立操作按钮,仅保留相机控制键;另有传闻称苹果考虑简化相机控制键内部结构,改用…

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6 Nov 2026, 16:00 UTC537 views3 reactionsread 6 November 2026
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🔔 Google Find Hub 终于支持“离开时提醒”功能 Google 已开始向 Find Hub 推送“离开时通知”功能,当您落下追踪器或所附物品时会收到提醒。Apple 和 Samsung 多年前就已提供类似的分离开启提醒,现在 Android 用户也能用上了。 ▫️ 启用方式:打开 Find Hub 应用,从设备列表中选择标签,点击设置齿轮图标,即可开启“离开时通知”。 ▫️ 智能豁免:若追踪器留在 Google Maps 中设定的家庭地址,系统不会发送提醒。 ▫️ 覆盖范围:目前该功能已在美国和部分欧洲地区上线。 ▫️ 跨品牌支持:已确认兼容 Moto 和 Chipolo 等第三方追踪器。 开启该功能后,您能在走远或登机前及时发现遗忘的物品,提高找回几率。 #资讯 #数码

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Signed KISS NAISI

6 Nov 2026, 10:54 UTC≈1,230 views1 reactionsread 6 November 2026
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⚠️ 斯巴鲁召回19.6万辆汽车,喇叭存在安全隐患 ▫️ 斯巴鲁汽车(中国)有限公司备案召回计划,涉及部分进口森林人、力狮、傲虎、XV、BRZ系列汽车。 ▫️ 召回范围:2011年8月23日至2016年8月25日生产,共计196494辆。 ▫️ 召回原因:转向螺旋电缆内部线路可能磨损断线,导致喇叭无法正常鸣响,存在安全隐患。 ▫️ 召回措施:免费检查并更换改善后的转向螺旋电缆,以消除安全隐患。 ▫️ 此次召回是在国家市场监督管理总局启动缺陷调查情况下开展的。 #资讯 #数码

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Signed KISS NAISI

6 Nov 2026, 10:54 UTC≈1,130 views2 reactionsread 6 November 2026
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🔧 奔驰在华召回18.03万辆汽车:高压短路与车门锁隐患 国家市场监督管理总局最新信息显示,北京奔驰汽车有限公司与梅赛德斯-奔驰(中国)汽车销售有限公司已备案召回计划,共涉及180,279辆国产及进口汽车。 ▫️ 召回编号S2026M0128V:自即日起,召回2025年11月25日至12月3日生产的2辆国产CLA纯电动汽车。因后电动驱动模块功率电子装置电路板电气元件受损,高压系统可能短路,导致动力传输中断,增加碰撞风险。经销商将免费更换后电动驱动模块。 ▫️ 召回编号S2026M0129V和S2026M0130V:自2027年2月19日起,召回2018年2月8日至2020年6月1日生产的国产A级、GLA、GLB共129,819辆,以及2018年4月21日至2026年2月25日生产的进口A级、B级、C级、CLA、CLE、GLA、GLB、GLC共50,458辆。原因是驾驶员侧车门锁微动开关灌封材料防潮性能不良,受潮腐蚀后可能无…

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Signed KISS NAISI

6 Nov 2026, 10:54 UTC946 views1 reactionsread 6 November 2026
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⚠️ 奇瑞召回5.4万辆瑞虎5x/欧萌达,后轴焊接隐患 ▫️ 奇瑞汽车向国家市场监督管理总局备案召回计划,涉及2022年6月6日至2023年12月31日生产的部分瑞虎5x、欧萌达系列汽车,共计53,882辆。 ▫️ 召回原因为后轴纵臂与套管可能焊接不良,极端情况下焊缝可能失效脱开,导致车轮失控,增加事故风险。 ▫️ 自2026年11月27日起,奇瑞将为召回范围内车辆免费检查后轴生产日期代码,若属缺陷批次则更换后轴以消除隐患。 #资讯 #数码 #汽车 #召回 #奇瑞 #安全

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Signed KISS NAISI

6 Nov 2026, 10:53 UTC980 views4 reactionsread 6 November 2026
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🔻 马斯克暗示Cybertruck将停产,为Cybercab让路 特斯拉CEO埃隆·马斯克宣布,公司将于明年停止在得州工厂生产Cybertruck,以“腾出空间”生产更多自动驾驶Cybercab车型。他没有明确说明是彻底停产还是转移生产线,但项目首席工程师韦斯·莫里尔在X上写道:“Cybertruck是一个令人难以置信的技术开发平台,并通过Cybercab继续存在。”这似乎暗示该车型将被正式退役。 ▫️ Cybertruck于2023年正式发布,以其棱角分明的不锈钢车身设计吸引了大批粉丝,但也因多次延迟和召回而饱受争议 ▫️ 2019年首次亮相时,马斯克展示防弹玻璃却当场碎裂,成为经典尴尬瞬间;尽管如此,当时仍收获约14.6万份订单 ▫️ 2025年曾因饰板脱落风险召回超过4.6万辆 ▫️ 2026年“Cyberbeast”高性能版售价高达10.2万美元 消息传出后,特斯拉粉丝纷纷在社交媒体上表达不舍。有人称其为“特斯拉有…

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Signed KISS NAISI

6 Nov 2026, 09:08 UTC≈1,320 views16 reactionsread 6 November 2026
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😤 爱奇艺回应“年度最恶心的广告”:弹幕广告不属会员权益 近日,爱奇艺白金会员小敏在投屏观看电视剧时,临近大结局的关键情节,屏幕上下左右突然飞入大量带有“CS扫描王”标识的弹幕广告,两段广告合计约20秒,观感被严重影响。 ▫️ 小敏称,此前从未见过类似投放方式,并在网上发帖表示“CS扫描王的广告,选择了一种最为恶毒的方式污染了我尊贵的眼睛”。 ▫️ 广告投放商CS扫描王客服回应称,公司正常在爱奇艺平台投放广告,但具体如何操作并不清楚,建议咨询平台方。 ▫️ 奇异果客服回应称,会员广告特权主要是减免部分点播内容前的贴片广告,此次出现的“弹幕广告”不包含在会员广告权益内,平台会管控商业弹幕的数量和频率,后续将持续优化产品体验。 这并非爱奇艺首次因会员广告引发争议。2024年曾因暂停时出现近乎全屏广告、基础会员不能跳片头广告等引发投诉;今年4月,部分剧集暂停页面又出现以猎奇画面吸引眼球的宣传广告,爱奇艺当时承诺加强审核。 ▫️…

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Signed KISS NAISI

6 Nov 2026, 07:11 UTC≈1,510 viewsread 6 November 2026
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🛡️ 群晖官方教程:保护 NAS 免受勒索软件攻击 ▫️ 群晖在公众号发布教程,强调三点,但内容略显敷衍,只是再次提醒保持更新、注意备份。 ▫️ 从10月29日爆出勒索病毒攻击至今,群晖确认病毒利用已修复的漏洞 Synology-SA-24:20(2024年12月修复完成)。 ▫️ 建议用户升级系统、恢复服务,并考虑用AI分析漏洞或操作,比如为托管服务添加访问白名单。 ▫️ 最重要的是,异地备份应提上日程。 #资讯 #App

Signed KISS NAISI

6 Nov 2026, 07:10 UTC≈1,360 views0 reactionsread 6 November 2026
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✈️ 京津冀消协出手!10家航司、5家平台限期整改机票退改签 京津冀三地消协组织于11月6日召开机票退改签调查结果通报会,敦促相关企业全面自查,并于12月10日前反馈整改情况。 ▫️ 参会单位:国航、南航、东航、海航、厦航、川航、天津航空、吉祥航空、春秋航空、河北航空等10家航空公司,以及携程、去哪儿、飞猪、同程旅行、途牛等5家线上售票平台。 ▫️ 整改依据:《消费者权益保护法》及其实施条例。 ▫️ 整改时限:12月10日前完成自查并反馈。 #资讯 #时事

Signed KISS NAISI

6 Nov 2026, 04:41 UTC≈1,520 views5 reactionsread 6 November 2026
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🚀 淘宝开源 0.3B 手机大模型,iPhone 18 Pro 离线跑出 350 token/s 淘宝旗下 MNN 团队今日发布 MNN-Pocket-0.3B 模型,专为手机应用场景设计,在有限算力、内存和能耗下兼顾任务能力、响应速度与持续运行体验。 ▫️ 速度:在 iPhone 18 Pro 上完全离线运行,平均解码速度约 350 token/s,超过 200 token/s 的目标。 ▫️ 内存:INT4 部署文件仅 173MB,推理峰值内存增量约 228MB,低于 300MB 预算。 ▫️ 功耗:典型负载下,100 次推理累计增量能耗约占电池总电量 0.3%。 ▫️ 能力:英文 IFEval 73.20,中文 IFEval-zh 74.59,11 项评测平均 50.00,优于同规模及更大规模对比模型。 团队还开源了 Base、SFT、MNN、DFlash2、Dec 等多个版本,供研究者与开发者选择起点。开源地址:h…

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Signed KISS NAISI

6 Nov 2026, 04:40 UTC≈1,450 views1 reactionsread 6 November 2026

🎬 广电总局重申:扶持真人微短剧,规范AI微短剧 11月5日,国家广播电视总局相关负责人在2026中国广播电视精品创作大会微短剧论坛上重申:对真人微短剧与AI微短剧,总局态度明确——扶持真人剧,规范AI剧。 ▫️ 负责人表示,AI带来的是生产方式、产业形态、发展逻辑的系统性变革,全行业要善于把握运用,让AI当好精品创作的帮手、创新发展的引擎。 ▫️ “技术本身没有价值观,有价值观的是使用技术的人。”必须统筹发展和安全,坚持智能向善、趋利避害,决不能让劣币驱逐良币。 ▫️ AI能生成画面,不能生成生活;能辅助创作,不能完全代替思考。微短剧的灵魂,终究来自人的情感、人的创造。 ▫️ 扶持真人剧:在资金、算法、评优上给予实实在在支持;规范AI剧:稳量提质,守住版权底线、伦理底线。 ▫️ 平台须落实“凡播必审、全量人审”,优化算法,纠治诱导沉迷;对AI洗稿、盗版翻拍、未经授权使用肖像声音等加大打击。 据IT之家报道,全国微短剧用户…

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Signed KISS NAISI

6 Nov 2026, 03:30 UTC≈1,440 viewsread 6 November 2026
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📱 工信部加强智能体终端进网管理 工业和信息化部办公厅近日发布《关于加强智能体终端设备进网管理的通知》,要求改进智能体终端进网管理。 ▫️ 开展风险评估,完善电信设备进网检测机制,细化特别规定事项要求 ▫️ 预置智能体的手机、平板、可穿戴设备等智能体终端,须在进网检测中依据有关标准开展智能体适配验证 ▫️ 依法开展智能体终端涉诈风险安全评估和反诈能力前置性评测,落实重要通信工作要求 #资讯 #时事

Signed KISS NAISI

Showing the 12 most recent of 142 posts we hold for @inaisi. 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.

Posts edited after publishing

@inaisi edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
25 August 2026
Most recent edit
25 August 2026

Forward network

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 6 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.

🍟 整点薯条: 频道
@GetSomeFriesChannel · 20,330
Telegram ranks this channel #8 of 45 here — alongside 44 others — read 29 September 2026
懒猫的频道
@lanmaoshare · 20,414
Telegram ranks this channel #9 of 27 here — alongside 26 others — read 3 October 2026
广告必须死
@Aa28413761 · 26,788
Telegram ranks this channel #10 of 37 here — alongside 36 others — read 13 September 2026
֍可莉日常֎
@ibilibili · 49,430
Telegram ranks this channel #16 of 40 here — alongside 39 others — read 14 September 2026
iOS宝藏
@iosrxwy · 99,802
Telegram ranks this channel #17 of 28 here — alongside 27 others — read 31 August 2026
iOS优质应用
@ioskk · 50,441
Telegram ranks this channel #18 of 35 here — alongside 34 others — read 25 August 2026
小果子|iOS越狱交流频道
@guozhiapp · 21,908
Telegram ranks this channel #23 of 25 here — alongside 24 others — read 20 September 2026
叮当猫のiOS资源分享频道
@ddm1023 · 50,240
Telegram ranks this channel #30 of 41 here — alongside 40 others — read 26 August 2026
不止QuantumultX
@Quantumultxxxx · 21,914
Telegram ranks this channel #31 of 37 here — alongside 36 others — read 25 September 2026
Surge & Loon & QX 脚本收集
@NobyDa · 64,387
Telegram ranks this channel #33 of 42 here — alongside 41 others — read 21 August 2026
Faker | iKun聚集地
@scriptalking · 27,972
Telegram ranks this channel #39 of 41 here — alongside 40 others — read 10 September 2026
Loon News
@LoonNews · 48,269
Telegram ranks this channel #39 of 49 here — alongside 48 others — read 27 August 2026
折腾啥
@zhetengsha · 53,461
Telegram ranks this channel #40 of 50 here — alongside 49 others — read 26 August 2026

This channel appears in 13 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“奶思🍒资源分享|频道” (@inaisi), 14,127 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/inaisi.

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.