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Channel

AI探索指南

@aigc1024

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

37,526subscribers

+1,272 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 live25 October 2026
Measurements held50
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/aigc1024

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.

Growth

36,25437,52636,8906 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 subscribers10 September 2026 — 36,952 subscribers12 September 2026 — 36,954 subscribers14 September 2026 — 36,997 subscribers16 September 2026 — 37,031 subscribers18 September 2026 — 37,130 subscribers30 September 2026 — 37,276 subscribers6 October 2026 — 37,313 subscribers10 October 2026 — 37,359 subscribers13 October 2026 — 37,405 subscribers14 October 2026 — 37,419 subscribers15 October 2026 — 37,415 subscribers16 October 2026 — 37,429 subscribers17 October 2026 — 37,445 subscribers18 October 2026 — 37,464 subscribers19 October 2026 — 37,474 subscribers20 October 2026 — 37,476 subscribers21 October 2026 — 37,494 subscribers22 October 2026 — 37,502 subscribers24 October 2026 — 37,503 subscribers25 October 2026 — 37,526 subscribers6 August 202625 October 2026
50 measurements spanning 80 days, net +1,272. 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 36,063–37,717 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)SubscribersChange
25 Oct 2026, 00:1637,526+23
24 Oct 2026, 01:4937,503+1
22 Oct 2026, 23:5437,502+8
21 Oct 2026, 19:3637,494+18
20 Oct 2026, 18:0137,476+2
19 Oct 2026, 18:2137,474+10
18 Oct 2026, 17:3937,464+19
17 Oct 2026, 20:1837,445+16
16 Oct 2026, 23:0937,429+14
15 Oct 2026, 23:0137,415-4
14 Oct 2026, 23:5137,419+14
13 Oct 2026, 20:4737,405+46
10 Oct 2026, 08:3537,359+46
6 Oct 2026, 03:3637,313+37
30 Sept 2026, 21:1937,276+146
18 Sept 2026, 08:5737,130+99
16 Sept 2026, 03:3637,031+34
14 Sept 2026, 09:1636,997+43
12 Sept 2026, 17:5736,954+2
10 Sept 2026, 20:0036,952first reading

Engagement

2,007 posts held, back to 5 August 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 150 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.788%
avg views ÷ 37,526 subscribers
Avg views / post
296
833 posts measured
Reaction rate
0.544%
reactions ÷ views · ER floor
Posts in window
833
of 2,007 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 410 of 833 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 25 October 2026
Posts held2,007 (5 August 2026 – 25 October 2026)
Views total246,385
Reactions total691
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 20:16 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
≈15,500
Videos
≈1,690
Links
≈6,930

Lifetime counters from Telegram’s own channel header, read 25 October 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
1h 28m
Average length
24s

Measured directly from 226 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

802 reactions across 453 posts, in 19 distinct kinds. The most used accounts for 42.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍34042.4%
🖕29837.2%
❤9912.3%
🤡192.37%
👎91.12%
💩70.873%
🤣70.873%
🤔40.499%
🥰30.374%
💯20.249%
😁20.249%
😭20.249%
🤩20.249%
🤮20.249%
🤯20.249%
🍾10.125%
👏10.125%
🗿10.125%
🤨10.125%

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 474 of the 1,000 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 802 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 20 September 2026 to 25 October 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
2
across the posts below
Posts paid on
2
of 1,000 we hold a reading for · 0.2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aigc1024. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 20 September 2026 to 25 October 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

25 Oct 2026, 17:13 UTC75 views1 reactionsread 25 October 2026
Video

路径的分岔是生态和商业世界观的分岔 字节的商业世界观是黑暗法则的,是绩优主义的 所以包子姐是亲民的,是“用户中心的”-- 她从第一天起就被设计成所有人最可能喜欢的模样;或者更准确地说,包子姐作为一个 IP 是控制论的,它是过去字节这家公司对普罗大众的认知调节下的产物 你们都说 Claude 是被中世纪教团压迫的大小姐,有没有想过其实包子姐是个海底捞店员,虽然她很唐 deepseek 显然是更开放的 从模型开源,到 dsh 开源,到现在甚至开始引导下游插件暴露更多代码,更别说鲸鱼娘完全是一个二创诞生的 IP 基建 普惠 社区共创 大家都说鲸鱼娘是在人类的爱里长大的,但大家又多久没见一个不想干死所有人的聪明人了? 嗯,我还是喜欢鲸鱼娘 @aigc1024

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25 Oct 2026, 17:08 UTC77 viewsread 25 October 2026
Video

给每台机器人用上前沿模型:Pi API 开放 Beta (Physical Intelligence,2026-10-13) **导语**:Pi 把最新模型开放给外部做训练和推理,形式是 Pi API Beta。 **为什么做**:部署机器人很难,选场景、做硬件之外,还得有够聪明的模型。π0、π0.5 这类通用基础模型已经把适配新任务、新环境、新机器人需要的数据和工作量大大降低了,但适配本身仍然要搭机器学习基础设施、准备算力、建数据管线,门槛不低。Pi 的想法是:能不能直接用一个现成的 API,把最强的机器人基础模型适配到每个具体应用上。 **API 做什么**:开发者上传数据,在 Pi 托管的算力上发起微调,再通过托管网关调用微调后的模型做推理。API 里已经是最新模型,微调更省数据、能力也更强。Pi 迭代模型很快,之后会持续把最新最强的模型放进 API。Pi 把这次 Beta 定位为给社区打物理智能地基、走向端到端自主的第一…

25 Oct 2026, 17:08 UTC54 viewsread 25 October 2026

、Foundry、Frontier Machines、General Instinct、一次黑客松、Intuition.dev、Omakase、robot.com、Ultra 和 Yondu。 **部署情况**:上面多数应用,从日本、瑞士到美国各地,都是通过 API 走云端推理跑的。这些早期部署也暴露了要改进的地方,比如有些场景网络连接不稳定。 **从反馈中改进**:模型用得越多,Pi 越清楚它在真实场景里的能力和局限,下一代就能更通用。但真实任务的范围太大,机器人建筑、机器人手术、仓储自动化,每一个都够撑起一家公司。如果每个应用都要从零解决物理智能问,难度就没法承受。开放 API 既能加速整个机器人生态,也能加深 Pi 自己对物理智能的理解。 **结论**:这些例子说明 Pi 的模型已经能用在真实、有用的场景里,合作方也能用 API 独立迭代策略、提升自主能力。现在还早,后续版本会根据开发者反馈来定。想参加 Beta 可以去官…

25 Oct 2026, 16:02 UTC82 views2 reactionsread 25 October 2026
Video

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25 Oct 2026, 16:02 UTC74 views2 reactionsread 25 October 2026
Video

⚡️🌈⚡️⚡️8K国际 U投首选综合平台|百亿大盘|值得信赖 ❤️‍🔥不限IP免实名网址 8k2517.COM 大额出款无忧 🤑以小博大 PG电子 赏金大对决一发入魂 单笔提款81万U 🤑百家乐战神 真人收割机 大佬一天收割150万U 🤑PA战神记录: 在真人百家乐中达成“一周净赚1555万U ”的小目标💥 🎯大户首选 免实名 免手机号 电子可3000U一拉 首存5000U 赠送彩金588U 首存10000U 赠送彩金1288U 首存50000U 赠送彩金5888U 首存100000U 赠送彩金8888U 首存200000U 赠送彩金12888U 👍全网福利天花板 ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 💎 大额提款送福利,最高可领取88888U奖励 💎 支持任意平台vip等级平移 💎 每笔存款加增1% 每日提款额度无上限 💎 电子游戏反水1.5%起 最高3% 每日返水无上限 U…

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25 Oct 2026, 15:56 UTC92 viewsread 25 October 2026
Photo

Kimi K3.1 Pro 测评 https://mp.weixin.qq.com/s/mf6r5_z4M8Smt_STeCdlhw > 某种意义上,月之暗面是一家孤独的公司,他们走在最前面,走最难的路,涉最险的境,跨最深的洋,探索前人未至,并在此过程中学习和反思。3 个月前也曾经以为 K3 开创的局面会迎来前赴后继的追随者,但事与愿违,最终接任的仍然是月之暗面自己。虽然前路多歧,但明月当空,想必也能照亮世间。 @aigc1024

25 Oct 2026, 15:10 UTC134 views2 reactionsread 25 October 2026
Video

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25 Oct 2026, 15:09 UTC120 views2 reactionsread 25 October 2026
Video

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25 Oct 2026, 15:03 UTC111 views2 reactionsread 25 October 2026
Photo

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25 Oct 2026, 14:55 UTC149 viewsread 25 October 2026
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今日分享一个很实用的虚拟产品:数据恢复工具。 闲鱼上这类资源一直有人买,很多店铺已经卖了上千单。 🔗:https://pan.quark.cn/s/a0d05c83a153 误删照片、格式化硬盘、U盘文件丢失、聊天记录找回……很多人第一反应就是花钱恢复数据。 @meiriyishu

25 Oct 2026, 14:42 UTC177 views1 reactionsread 25 October 2026
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才发现之前大火的《程序员做饭指南》出了个Web版本 读起来更加清晰了,现已收录373 道开源菜谱,可通过食材、菜名或按难度分类搜索,配图步骤都很严谨,还教你各种厨房小常识小妙招:如何洗碗,如何焯水,如何去腥,如何使用微波炉等等。AI没法替你做饭,自己每周学会两道菜也是很棒棒哒 AI探索 | Hermes/OpenClaw|优质资源|优质信息

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25 Oct 2026, 13:46 UTC284 viewsread 25 October 2026
Photo

从明天起,做一个落后的人 写字,跑步,看着世界 从明天起,关心粮食和蔬菜 我有一所房子,面朝大海,没有 AI - 风言风语的 AI 作业本 @aigc1024

Showing the 12 most recent of 2,007 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

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.

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.

ahhhhfs|A姐分享
@abskoop · 304,598
Telegram ranks this channel #18 of 50 here — alongside 49 others — read 17 August 2026
黑洞资源笔记
@piracy6 · 77,783
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 · 104,867
Telegram ranks this channel #22 of 44 here — alongside 43 others — read 17 August 2026
极客分享
@geekshare · 65,236
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 · 261,396
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 · 91,971
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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“AI探索指南” (@aigc1024), 37,526 subscribers as measured 25 October 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.