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Channel

AI探索指南

@aigc1024

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

36,930subscribers

+676 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-1001872719322
TypeChannel
Username@aigc1024
Description关于AIGC人工智能、思维方式、知识拓展,能力提升等。投稿/合作: @inside1024_bot AIGC 领域的最新工具、开源项目以及行业大事件
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/aigc1024

Growth

36,25436,93036,5926 August 2026 — 36,254 subscribers6 August 2026 — 36,254 subscribers6 August 2026 — 36,265 subscribers7 August 2026 — 36,279 subscribers8 August 2026 — 36,295 subscribers9 August 2026 — 36,313 subscribers10 August 2026 — 36,316 subscribers11 August 2026 — 36,321 subscribers12 August 2026 — 36,343 subscribers13 August 2026 — 36,349 subscribers15 August 2026 — 36,362 subscribers16 August 2026 — 36,509 subscribers17 August 2026 — 36,555 subscribers18 August 2026 — 36,576 subscribers19 August 2026 — 36,598 subscribers21 August 2026 — 36,634 subscribers22 August 2026 — 36,659 subscribers24 August 2026 — 36,690 subscribers25 August 2026 — 36,704 subscribers26 August 2026 — 36,711 subscribers27 August 2026 — 36,740 subscribers28 August 2026 — 36,757 subscribers28 August 2026 — 36,780 subscribers29 August 2026 — 36,794 subscribers31 August 2026 — 36,813 subscribers1 September 2026 — 36,825 subscribers2 September 2026 — 36,831 subscribers3 September 2026 — 36,836 subscribers4 September 2026 — 36,861 subscribers7 September 2026 — 36,930 subscribers6 August 20267 September 2026
30 measurements spanning 33 days, net +676. 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 36,153–37,031 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
7 Sept 2026, 22:1836,930+69
4 Sept 2026, 23:1836,861+25
3 Sept 2026, 09:5236,836+5
2 Sept 2026, 03:4336,831+6
1 Sept 2026, 05:1836,825+12
31 Aug 2026, 01:4236,813+19
29 Aug 2026, 23:3736,794+14
28 Aug 2026, 22:3436,780+23
28 Aug 2026, 00:3636,757+17
27 Aug 2026, 00:4336,740+29
26 Aug 2026, 03:2436,711+7
25 Aug 2026, 05:2236,704+14
24 Aug 2026, 05:2736,690+31
22 Aug 2026, 13:3836,659+25
21 Aug 2026, 00:4536,634+36
19 Aug 2026, 23:2436,598+22
18 Aug 2026, 20:5436,576+21
17 Aug 2026, 18:1636,555+46
16 Aug 2026, 17:3536,509+147
15 Aug 2026, 02:5336,362first reading

Engagement

859 posts held, back to 5 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 71 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.928%
avg views ÷ 36,930 subscribers
Avg views / post
343
761 posts measured
Reaction rate
0.407%
reactions ÷ views · ER floor
Posts in window
761
of 859 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 249 of 761 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 9 September 2026
Posts held859 (5 August 20269 September 2026)
Views total260,719
Reactions total388
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 01:25 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
14,400
Videos
1,330
Links
5,770

Lifetime counters from Telegram’s own channel header, read 9 September 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.

Video runtime
55m 17s
Average length
22s

Measured directly from 150 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

462 reactions across 253 posts, in 19 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🖕23150.0%
9921.4%
👍7917.1%
👎61.30%
🥰61.30%
👏51.08%
💩51.08%
😁40.866%
🤯40.866%
🤷40.866%
🌚30.649%
🗿30.649%
🤡30.649%
🤮30.649%
🔥20.433%
😱20.433%
🙈10.216%
🤬10.216%
🫡10.216%

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 291 of the 859 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 470 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 859 most recent posts we hold, published 5 August 2026 to 9 September 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

9 Sept 2026, 01:12 UTC16 viewsread 9 September 2026

AI 最传奇的投资故事,也扛不住了。 据 CNBC,前 OpenAI 研究员 Leopold Aschenbrenner 旗下对冲基金已出售全部上市股票组合。 AI 基建股持续调整,做空软件股又遭遇逼空,高杠杆最终放大了这轮回撤。 市场永远会奖励正确的方向,但不会保证正确的时机。 AI探索 | Hermes/OpenClaw|优质资源|优质信息

9 Sept 2026, 00:24 UTC98 views1 reactionsread 9 September 2026

未来十年,值钱的20项能力(上): 未来十年,值钱的20项能力 1. 做个人IP。 未来最值钱的资产,不是公司,而是个人品牌,超级个体。产品会过时,技术会迭代,但一个被信任的名字会持续增值。在AI让内容生产成本趋近于零的时代,信任反而是最稀缺的商业资源。你的专业知识、成长经历、价值观输出,正在取代简历和工牌,成为别人判断“这个人值不值得合作”的第一依据。十年后,你最大的护城河不是你在哪家公司上班,而是别人一听到你的名字就愿意打开钱包。 2. All in AI。 不会用AI的人,就像以前不会用电脑的人。拥有AI技能的薪资溢价已达56%,而且每个行业都愿意为这项技能多付钱。它不是让你变成程序员,是让你把AI当作第二个大脑来用——写文案、做分析、理思路、省时间。未来不是AI淘汰人,是会用AI的人淘汰不用AI的人。 3. 分析思辨力。 世界经济论坛连续三届把它列为“企业最重要的核心技能”榜首。AI能给你一百份漂亮的报告,但它分不清哪份

1

8 Sept 2026, 23:25 UTC136 viewsread 9 September 2026

《长不大的父母》这本书中结合案例分析了这种行为的形成和代际传递,还给出察觉潜意识、重建自我认知等方法来终止家庭创伤循环,帮助构建健康亲子关系。 这本书的📖分享⬇链接🔗👉https://pan.quark.cn/s/c4113984c0d6 @meiriyishu

8 Sept 2026, 22:57 UTC158 viewsread 9 September 2026
Photo

AI/机器越多,人越稀缺。 虽然机器切肉更快更便宜。但越来越多火锅店为了展示其肉的新鲜,专门请墩子在门口现场切肉给顾客看。包括海底捞最近几年,也在入口处专门打造了一个切肉的公开厨房。 传统的理论会认为机器能切肉后,餐厅里切肉的人全部会下岗。但事实上恰恰相反,机器切肉泛滥后,“稀缺”会迁移到人类切肉的过程中,至少顾客看到有切肉过程的火锅店,会有更高的溢价。而其他火锅餐厅为了竞争,也被迫请墩子在现场切肉。 AI探索 | Hermes/OpenClaw|优质资源|优质信息

8 Sept 2026, 22:57 UTC134 viewsread 9 September 2026
Photo

看了下X新的内容创作者激励计划,会严打3种行为: 1. 搬运抄袭其他人内容 2. 和他人故意通过相互转发, 3. AI生成内容 按这个规则的,X未来几个月大概率会阵亡一大批号。 AI探索 | Hermes/OpenClaw|优质资源|优质信息

8 Sept 2026, 22:26 UTC157 viewsread 9 September 2026
Photo

月饼盒子上写着 月饼属于高油高糖食品,请不要空腹食用 那难道吃饱了才能吃? @aigc1024

8 Sept 2026, 22:13 UTC156 viewsread 9 September 2026

AI彻底提升了国内用户愿意付费意识 没有AI前,遇到付费的,第一意识是,要付费?是不是要收割我了,直接一个xx平替完事! AI来了后,我注册到了,充充充!封我号?换个小号继续付费!真香! 其实只要产品足够好,用户还是愿意付费的 AI探索 | Hermes/OpenClaw|优质资源|优质信息

8 Sept 2026, 20:51 UTC179 viewsread 9 September 2026
Photo

想找免费开源的 AI 配音模型?这个仓库可以直接当模型清单用。 free-voice-clone 把语音克隆、TTS、语音识别、音乐生成、音频修复等开源项目集中整理到了一起。 不用到处翻项目,直接看列表挑适合自己的模型。 做 AI 配音、视频音频处理的,可以收藏一个。 🔗https://github.com/0xSojalSec/free-voice-clone AI探索 | Hermes/OpenClaw|优质资源|优质信息

8 Sept 2026, 17:36 UTC243 viewsread 9 September 2026
Photo

万模修仙,众生助道! 看到Kimi K3被评价为“半步Fable5”, 好“仙侠”的形容词!半步神游?? 所以,就用GPT5.6做了个“AI修仙传”,把市面上主流AI模型划分为九个修为境界:炼气、筑基、结丹、元婴、化神、炼虚、合体、大乘、渡劫。 可以在网页上为自己喜欢的模型注入“灵气”。 然后发现,GPT把自己排在了第一! 只图一乐,排名仅为演示,不代表个人意见。 AI探索 | Hermes/OpenClaw|优质资源|优质信息

8 Sept 2026, 16:46 UTC274 viewsread 9 September 2026

今天跟 和 吃饭,有一个问我一直很好奇和假想: 未来,我们一个拥抱 AI 的人最终会有几个自己的 Agent? 1.只想有一个 2.不超过 2 个,一个工作和一个 personal 3.好几个切换 4.其他 @aigc1024

8 Sept 2026, 16:03 UTC322 views2 reactionsread 9 September 2026

写给高考学子的几句 高考当然重要,但也不那么重要,只要开始做下面几点,并坚持4年,比大多数大学课程更有用 【考前放松心态】 ❶ 自媒体:大一开始做,先开始,干中学,疯狂0成本试错,如果坚持4年,有成果的概率还是很高的,这是确定性最高的一个 ❷ 纳指ETF:先看我置顶的帖子,不懂就跟AI聊,钱不在多少,积少成多,每月几十元也可以定投,先开始找找感觉,这个非常重要,开始了才可能研究学习 ❸ AI:积极拥抱,有条件尽量用最好的一两个 ❹ 英语口语:根本不难,其实就是堆时间,每天张嘴1小时,只要时间堆够了,坚持4年,肯定流畅,难在坚持【注意:最重要的是口语,其他都是次要的】 ❺ 代码:有条件尽量学,AI辅助后很容易入门 ❻ 公务员:二本、文科可以从大一就开始准备,但这个是不确定性最高的,个人难以把控。如果前几个搞定了,6也不那么重要了。 ❼ 不要考研:普通二本、文科,纯粹浪费3年时间,还不如找工作积累经验,积累本金买纳指ETF ❽ 就业

2

Showing the 12 most recent of 859 posts we hold for @aigc1024. 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

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 17 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.

ahhhhfs|A姐分享
@abskoop · 307,099
Telegram ranks this channel #18 of 50 here — alongside 49 others — read 17 August 2026
黑洞资源笔记
@piracy6 · 77,214
Telegram ranks this channel #22 of 61 here — alongside 60 others — read 19 August 2026
Widget🏂软件工具资源分享
@WidgetChannel · 98,776
Telegram ranks this channel #22 of 44 here — alongside 43 others — read 17 August 2026
极客分享
@geekshare · 64,390
Telegram ranks this channel #23 of 44 here — alongside 43 others — read 21 August 2026
黑科技软件资源分享
@kkaifenxiang · 261,195
Telegram ranks this channel #32 of 39 here — alongside 38 others — read 19 August 2026
油油の科技软件资源分享
@youyousharechannel · 89,723
Telegram ranks this channel #34 of 43 here — alongside 42 others — read 17 August 2026

This channel appears in 6 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 September 2026 — this entry's latest reading, not the date you are reading this.

“AI探索指南” (@aigc1024), 36,930 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/aigc1024.

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.