Channel
@AiGCKu
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
10,823subscribers
-7 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001946423640 |
|---|---|
| Type | Channel |
| Username | @AiGCKu |
| Description | 本频道为Ai研究所 @AiGCku 创宇开发 @ChuangYu 创宇包网 @YuanMadian 华人交流 @Shaojiajun8 创宇拍卖 @ChuangPai |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/AiGCKu |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 22:33 | 10,823 | -1 |
| 11 Aug 2026, 22:42 | 10,824 | -3 |
| 10 Aug 2026, 22:08 | 10,827 | -3 |
| 10 Aug 2026, 00:41 | 10,830 | no change |
| 9 Aug 2026, 16:32 | 10,830 | first reading |
19 posts held, back to 11 February 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 13 July 2026. An engagement rate over an empty window would be a number about nothing.
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. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 4 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 2 of the 19 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 11 February 2025 to 13 July 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.
写实风格，电影级柔和光影，色彩自然。手持拍摄，带有自然的人类呼吸起伏和手持感。景别构图采用极端近景特写，运用浅景深透视，前景严重虚化，聚焦于人物面部的微表情。无BGM，无字幕。 0-2秒画面完全保持图片@人物持枪图片 开始的状态。枪口稳稳指向镜头；眼神冷峻而克制，下颌微微绷着，轻微呼吸和发丝被风吹动。 2-4秒眼神忽地一颤，瞳孔轻微收缩，眉心浅蹙旋即展开；唇角不易察觉地抽动了一下，持枪的手出现极细微的抖动，枪口随之轻轻一晃，内心挣扎开始外显。 4-6秒目光犹豫地向右下方飘移，又强迫自己拉回，重新盯住镜头，眼底浮起一抹痛楚；嘴唇张开一丝缝隙，欲言又止，最终无声合拢，喉结轻轻滚动。 6-8秒眉头微微皱起但马上又展开，眼眶边缘有一点点湿；枪口微微下沉，但仍保持朝向镜头，下巴轻颤，呼吸变得短促不稳。 8-10秒猛然合上双眼，深吸一口气，眼皮不住轻颤；再度睁开时，泪光已清晰可见，眼神脆弱而挣扎，枪口被重新持平，手臂的颤抖通过枪身隐隐透出。…
🔥 领先社区|限时放人 这里不是单纯的交流群， 而是一个专注 开发、逆向、AI、安全技术 的实战社区。 在这里，你可以接触到： • 前后端开发与项目实战 • App / 小程序 / TG 机器人开发 • 软件逆向、接口分析、协议研究 • AI 工具、AI 编程与前沿产品 • 技术交流、资源分享、经验互通 • 项目合作、问题解答、同行人脉 不讲空话，只聊技术。 不卖焦虑，只分享真正有用的内容。 无论你是刚入门，还是已经有一定技术基础， 只要愿意学习、愿意交流，都欢迎加入。 ⚡️ 名额有限，限时开放 📢 领先社区，和真正做技术的人一起成长。 https://t.me/+EymKm4fqqRthMzhk 领先一步，不止是技术。 入群审核 @wuwuwu 呜呜呜 技术顾问
所有人都在争论AI 泡沫，却忽略一个更值得深思的终极问题。 AI真正值得思考的，不是泡沫 最近，AI是不是泡沫，几乎成了科技圈最常见的话题。 有人说，现在整个AI行业，每年投入都是天文数字，真正赚钱的公司却没有几家。 市值越来越高，盈利却跟不上。 怎么看，都像泡沫。 也有人说，不一样。 互联网刚出现的时候，也是这样。 真正改变世界的技术，一开始往往都赚不到钱。 我想了很久。 后来发现。 AI是不是泡沫，我其实回答不了。 因为泡沫，从来不是技术问题。 而是市场问题。 只要市场还相信，它未来还能创造更大的价值。 它就不会破裂。 真正让我感兴趣的，是另一件事情。 历史上，每一次技术泡沫破裂之后，到底留下了什么？ 互联网泡沫就是一个很好的例子。 2000年前后，大量互联网公司倒闭。 很多投资人亏得一塌糊涂。 如果站在那个时间点。 你很容易觉得： 互联网失败了。 可二十多年后的今天，我们回头再看。 失败的是公司。 不是互联网。 互联网泡沫…
普通人该怎么在AI时代赚钱？ Stop. 你的问题本身就有问题。 「普通人怎么在AI时代赚钱」——这个问题的框架是错的。你把自己放在一个被动的位置上，好像AI是一场洪水，你站在岸边问「我怎么不被淹死」。 Wrong question. 正确的问题是：AI让我能做到什么以前做不到的事？ 我说三点。 第一，工具不值钱，品味值钱。 1984年我们发布Mac的时候，突然之间每个人都能做桌面出版了。你知道发生了什么吗？90%的人做出来的东西丑得要命。工具民主化了，但品味没有民主化。 AI也一样。现在每个人都能用AI写代码、做设计、生成内容。So what? 90%的人用AI生成的东西是shit。因为他们不知道什么是好的。 品味就是你的护城河。你能判断AI给你的10个方案里哪个是insanely great的，你就比那些只会点「生成」按钮的人强一百倍。 第二，做端到端的事，不做零件。 别去想「我学会一个AI工具就能找…
Mona Lisa
#AI资料分享 Claude 团队的这篇 RLHF 的论文，非常有趣，而且在 ChatGPT 发布之前几个月就发了，这俩公司的思路出奇的一致，不知道是不是也互通了信息。 📺 推荐观看李沐的讲解版本: www.bilibili.com/video/BV1XY411B7nM ☄️ 论文: arxiv.org/pdf/2204.05862.pdf
LeCun 与吴恩达聊"为什么反对暂停AI" 近期呼吁暂停比GPT-4更强AI训练的激辩愈发激烈。而公开信的签名人数，也从最初的1000出头，猛增到了近1.6万。 ⭐️ 面对接踵而至的指责和质疑， OpenAI匆忙在凌晨 发文 回应：我们会坚决保障AI安全，绝不“偷工减料”！ ⭐️ 图灵三巨头之一的Bengio，昨天专门在自己的博客上写了一篇长文，解释自己为什么签名赞成暂停超强AI研发。 ⭐️ 而另一巨头LeCun表示，今天关于AI安全的讨论，跟1890年关于客机安全的讨论一样，全是推测性的。与极端AI末日论者辩论AI伦理和安全，就像与神创论者辩论进化论一样，毫无意义。“由于担心动荡，奥斯曼帝国限制了印刷书籍的传播。因此错过启蒙运动，失去了在科学技术上的主导地位，并最终失去了经济和军事上的影响力。” ⭐️马斯克：这是电车难题另一面，你们这些反对暂停的人就属于下面这种人：“另一条路太绕，会减慢AI的发展，不如还是直接碾过…
File, posted without a caption
《Sparks of Artificial General Intelligence: Early experiments with GPT-4》作者Sebanstien Bibeck的分享 🔝 https://youtu.be/qbIk7-JPB2c ⭐️ 原论文地址: https://arxiv.org/pdf/2303.12712v1.pdf ⭐️ 论文中文翻译版: https://t.me/LptTech/580 ⭐️ Orangeai 对论文的解读: https://t.me/LptTech/555
一个把 Midjourney 提示词可视化并提供编辑功能的工具 • 显示英文提示词的中文翻译 • 翻译输入的中文提示词到英文 • 为提示词进行分类 • 轻松的排序、隐藏提示词 • 把提示词可视化结果导出为图片 • 常用提示词词典 • 通过 Notion 管理提示词词典 🖥 github.com/Moonvy/OpenPromptStudio
根据谷歌趋势数据，没有哪个国家和地区的网民对 #chatGPT 的兴趣有中国的高。
Truepic 和Revel.ai联手制作了一个逼真的视频，用以告诉人们，现在任何视频都有可能是假的，并po出了他们的制作过程。 ⚜️ truepic.com/revel/
Showing the 12 most recent of 19 posts we hold for @AiGCKu. 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 — 555,161 of 1,169,250entries 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.
Named by 1 registered channel — 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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“AiGC库（中文研究所）” (@AiGCKu), 10,823 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/AiGCKu.
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.