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Channel

AI时代观察

@aitimes123

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

4subscribers

+0 since we began measuring on 12 November 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004332460959
TypeChannel
Username@aitimes123
First recorded12 November 2026
Last confirmed live12 November 2026
Measurements held2
On Telegramt.me/aitimes123

Growth

412 Nov 2026, 19:47 — 4 subscribers12 Nov 2026, 20:22 — 4 subscribers12 Nov 2026, 19:4712 Nov 2026, 20:22
2 measurements taken within a single day. 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 3–5 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Nov 2026, 20:224no change
12 Nov 2026, 19:474first reading

Engagement

14 posts held, back to 12 November 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
25.0%
avg views ÷ 4 subscribers
Avg views / post
1.0
14 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
14
of 14 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 12 November 2026
Posts held14 (12 November 2026 – 12 November 2026)
Views total14
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 20:22 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
275
Videos
3
Links
55

Lifetime counters from Telegram’s own channel header, read 12 November 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.

Video runtime
12s
Average length
12s

Measured directly from 1 video 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 14 posts held from the last 30 days (0%) 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).

12 Nov 2026, 16:30 UTC1 viewsread 12 November 2026

AI搜索引擎PerPlexity的 Chrome 插件,可以让AI根据当前网页/网站里的内容做出搜索和回答。另外还将推出 iPhone 版本,可以在此登记侯选名单。 https://getwaitlist.com/waitlist/5067?ref_id=ULIXNO9D4

12 Nov 2026, 16:29 UTC1 viewsread 12 November 2026

因为 ChatGPT,最近我是既兴奋又焦虑。作为一个 20 年码龄的前程序员兼产品经理,很难得又碰到一个比移动互联网更大的变革时代。我与 NLP(AI 中的一个分支, 自然语言处理,也是 ChatGPT 主要依赖的技术之一) 结缘是在 2004 年,那一年我还在上初中,写了一个叫“燊燊中文简繁通”的简繁体转换软件。 这个软件意外得到海内外很多华人的喜爱,有人帮我把它翻译成外文版介绍到外国,有人写文章专门介绍它,甚至有台湾同胞还把它刻成光盘标价 100 新台币售卖……我后来坚持做创新产品也与它有关,因为那种看到用户喜爱的评价时的成就感。 但这段经历让我印象最深的是大陆和港澳台不同的语言表达的转译难题。比如汉字简繁转换不是完全的一对一,“后”字对应的繁体字可能是“后”或者“後”,而“乾”字对应的简体字可能是“乾”或者“干”。又比如一些外国人名,大陆叫“特朗普”,港台叫“川普”,大陆叫“布什”,港台叫“布殊”……还有很多不能简单地…

12 Nov 2026, 16:29 UTC1 viewsread 12 November 2026

回一下 @Szhans 之前的邀请 有很多人将 ChatGPT 与 iPhone 的诞生视为同一种性质的变革,通常这类变革需要具备以下条件: • 改变了人们的生活或工作方式 • 满足市场需求:iPhone 与 ChatGPT 满足了消费者对于更便捷人机交互形式的需要 • 全球性的影响 • 技术突破 …… 我们可以从人机交互的转变,或是从技术创新等视角去看 iPhone 与 ChatGPT 带来的变革。在这里我想从助理概念的角度出发,去挖掘这两者之间相通的地方。 首先工具和助理的差别:工具概念上是指任何帮助人们完成特定任务的物品或程序;助理则指帮助人们完成任务并管理信息的程序或设备,助理可以利用工具或工具集合来帮助完成工作,但更多指代协助人们进行信息或任务的计划、组织和管理。 所以在这里将 iPhone 和 ChatGPT 分类到助理而不是工具,是因为工具更多是指完成某种特定任务的定义。从一个比较底层的角度看待设备的演…

12 Nov 2026, 16:28 UTC1 viewsread 12 November 2026
Photo

Prompt Engineering群里大牛炼丹炼出来的🧝🏻‍♀️🧝🏻‍♀️

12 Nov 2026, 16:28 UTC1 viewsread 12 November 2026
Photo

AI画插画已经这么牛了,能够准确识别关键词,插画师快跑!

12 Nov 2026, 16:27 UTC1 viewsread 12 November 2026
Photo

Bing app拥有了chat能力,值得一个核心位置了 👍🏻

12 Nov 2026, 16:26 UTC1 viewsread 12 November 2026
Video

RT Kevin Systrom It's not a launch without a little sizzle reel 🌶 Come join us in @ARTIFACT_News !

12 Nov 2026, 16:26 UTC1 viewsread 12 November 2026
Photo

RT Satoru🌟 今天都在热议#blur的帅哥创始人铁顺,随手翻他的博客,发现了一篇比他的帅照更让人惊讶的文章。铁顺写的这篇《抖音的飞轮是如何启动的》含金量极高,他从抖音的成功中学到了很多,你完全能在Blur的运营和打法中看到这篇文章的影子,值得每一个web3 builder读一读(原文链接在下面) 1/n Pacman | Blur.io: Web2 me vs Web3 me A thread 🧵

12 Nov 2026, 16:25 UTC1 viewsread 12 November 2026

RT Tinyfool AIGC可以用来描述AI绘画,也可以用来描述ChatGPT,然而,这远远不够,bing chat其实不是AI生成了什么,而是你的问题,经由AI联通了bing背后的索引库。ChatGPT还没被很多人看懂的是这个,是ACE,AI connect everything。连接一切,控制一切。例子附后:

12 Nov 2026, 16:25 UTC1 viewsread 12 November 2026
Photo

ChatGPT 中,G、P、T 分别是什么意思? 很佩服 @王建硕 把复杂事物浅显化的能力

12 Nov 2026, 08:30 UTC1 viewsread 12 November 2026
Photo

太好了,韭菜先生 https://m.facebook.com/evenwu/posts/pcb.10158899875025718/?photo_id=10158899852325718&mds=%2Fphotos%2Fviewer%2F%3Fphotoset_token%3Dpcb.10158899875025718%26photo%3D10158899852325718%26profileid%3D0%26source%3D48%26__tn__%3DEH-R%26cached_data%3Dfalse%26ftid%3D&mdp=1&mdf=1

12 Nov 2026, 08:29 UTC1 viewsread 12 November 2026
Photo

一次有意思的尝试。ChatGPT 的理解能力还是持续有惊喜。

Showing the 12 most recent of 14 posts we hold for @aitimes123. 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 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.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“AI时代观察” (@aitimes123), 4 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/aitimes123.

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.