Channel
@rollerrolling
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Cite this entry
8,633subscribers
-12 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001529625156 |
|---|---|
| Type | Channel |
| Username | @rollerrolling |
| Description | 有趣的 AI 科技日记 💬 群组: t.me/+XThkfMjY1bRiYTVh 🪄 由@bnl5110和@endingwalker一同撰写 #DeepSeek #GenAI #AIGC #互联网 #科技 #人工智能 #AI产品 #ChatGPT #Claude 谢谢订阅，喝杯茶再走？🍵 |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/rollerrolling |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 09:03 | 8,633 | -11 |
| 7 Aug 2026, 14:15 | 8,644 | -1 |
| 6 Aug 2026, 23:45 | 8,645 | no change |
| 6 Aug 2026, 23:33 | 8,645 | first reading |
19 posts held, back to 19 August 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 14 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 30 December 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 12 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 8 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.
147 reactions across 17 posts, in 10 distinct kinds. The most used accounts for 49.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 73 | 49.7% | |
| 🆒 | 28 | 19.0% | |
| 👍 | 23 | 15.6% | |
| 💯 | 4 | 2.72% | |
| 🦄 | 4 | 2.72% | |
| ❤🔥 | 3 | 2.04% | |
| 🎉 | 3 | 2.04% | |
| 🔥 | 3 | 2.04% | |
| 🤓 | 3 | 2.04% | |
| 🥰 | 3 | 2.04% |
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 19 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 147reactions 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 19 August 2025 to 30 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @rollerrolling. 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 19 most recent posts we hold for this entry, published 19 August 2025 to 30 December 2025. 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.
新美学资助：由 Patrick Collison 和 Tyler Cowen 发起的 Grant Stripe 的 CEO Patrick Collison 以及经济学家 Tyler Cowen 想资助在 21 世纪重新定义“美”的人：不复古、要真正面向未来，而且作品既要新，也要能够定义 21 世纪的美学 🔶 谁可以申请：艺术家、建筑师、设计师都行，主要看视觉和建筑，但不限制媒介；用不用AI都行；当下已经随处可见的风格不在考虑范围内 🔶 资助金额：$5k–$250k；滚动评审，越早申请越好；截止时间是 2026 年 3 月 31 日 🔶 怎么申请：发一些代表作，加一份你打算怎么用这笔资助的简要计划。他们更喜欢真人写的申请，而不是 AI 生成的报名 🔶 你也能提名别人：说明为什么，以及附上对方的作品链接或示例。 📫 申请邮箱：apply@newaesthetics.art 📮 这篇文章是转发给你的吗？点击这里加入频道，一起…
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像 AE 但更好玩：MO1 限量邀测 🔥 一款“像 After Effects 但更好玩”的创意动效工具 MO1 上线了，作者 Xavier 正在小范围邀请测试，规则是每获 100 个赞掉落 5 个邀请码，先到先得 ✨ 核心卖点是轻松上手与趣味创作，短视频演示了快速合成与动态特效流程，适合想做动效但不想被复杂参数和学习曲线拖累的创作者 📮 这篇文章是转发给你的吗？点击这里加入频道，一起探索更多有趣的内容！
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📹 分享一个最近爆红的视频，展示的是 Projection Mapping ——把影像精准投到立体物体上，让现实像被“施法”一样动起来 🔮我特别喜欢这种打破虚与实边界的作品。它逼着我们挑战想象力，让叙事、空间和感知重新组合，哪怕是一个纸箱也能变成舞台 👀 想看更大型的案例，可以搜早年 Amon Tobin 的 ISAM 演出，多投影把整套舞台“变形”，非常震撼 📮 这篇文章是转发给你的吗？点击这里加入频道，一起探索更多有趣的内容！
🆒20❤12👍6🤓3🎉1
Lovelee —— 7天破 1 万下载的情侣小应用 💗 独立开发者 Jack Friks 为新上线的情侣互动应用 Lovelee 立下了一个公开的目标：年内实现月营收 $5k 📈 独立开发者 Jack Friks 为这款产品立下目标：年内实现月营收 $5k。这次开发中，他使用 Claude 辅助完成 Swift 编程；上线仅 7 天，下载量已突破 1 万次。主编也推荐关注他的 X：看他如何每天用 1–2 小时为自己的 app 做推广 🗝️ 立即在 iphone 上体验：lovelee couples: love note app ↗ 📮 这篇文章是转发给你的吗？点击这里加入频道，一起探索更多有趣的内容！
Claude用代码生成整本PDF翻页书 🎬 分享一个 Claude 员工 Alex Albert 把代码直接变成可翻页的 PDF 动画，指令驱动的几何与运动组合成连贯的视觉叙事 🤖 借助 Algorithmic Art，模型不只生成函数与脚本，还能自主编排帧序列、版式与配色，让工程理性与美学联动起来 📮 这篇文章是转发给你的吗？点击这里加入频道，一起探索更多有趣的内容！
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Dayflow —— 用本地AI把一天“看见”，找回真正的深度工作 🧭 今天试了 Dayflow，它不是传统计时器，而是把你的整天变成一条可读的时间线：深度工作、浅层任务、被 Slack 拉走的瞬间，都被温柔地标注出来，让“忙碌”和“专注”的差别一眼可见 🧩 最打动我的是它对“情境”的理解——同样是 YouTube，教程和摸鱼被准确地区分；代码窗口与查资料的切换不再混成一团 🔐 隐私是底线：全部在本地推理，截图与分析不出设备；开源的 MIT 许可 也让可审计成为真实承诺。当然，本地 LLM 会吃内存与电力，这是一种有意选择：以算力换信任 📈 用了一天，我第一次能回答“这 8 小时里真正的专注有多少”。当你看到注意力被打断的图钉在时间线闪烁，那些“差一点就进入心流”的时刻会被具体化，下一次更容易守住它们 📮 这篇文章是转发给你的吗？点击这里加入频道，一起探索更多有趣的内容！
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Messenger Planet —— 浏览器里的送信小星球 🛍️ 推荐大家一款小游戏：Messenger Planet 。点开即玩，像把一台轻量游戏机塞进网页 🖥️ 你背上包在小行星上送信，港口和广场能跟路人用表情交流、即兴跑酷、翻屋顶，几分钟就能进入「到处都是可能性」的节奏。画面由 three.js + WebGL 实时渲染，小镇的起伏和天光有生活气息 🌐 它让我想起早年的互联网：没有教程，直接把你放进一个会发生事的世界。相比烧 GPU 生成 AI 视频，这种「把故事交到你手上」的方式更具参与感 🔗 链接在这里，去递第一封信吧 📮 这篇文章是转发给你的吗？点击这里加入频道，一起探索更多有趣的内容！
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Comet浏览器 —— 出自 Perplexity 🧠 Comet是Perplexity推出的AI浏览器，主打智能助手和信息整合。相比传统浏览器，AI助手能帮你整理多标签内容、快速摘要网页，适合科技用户高效获取信息 🔍 虽然底层依然是Chromium，实际用起来甚至比Dia Browser更显笨重。默认用Perplexity搜索，支持自然语言提问，也能自定义快捷指令，但传统搜索体验和流畅度还有提升空间 ⚡ 我手头还有3个Comet邀请码，欢迎有兴趣的大家来体验，也感谢 James 分享给我的邀请码： 🔸 https://perplexity.ai/browser/claim/G7V7YOIOU0 🔸 https://perplexity.ai/browser/claim/1M3F3IRH09 🔸 https://perplexity.ai/browser/claim/SSQSPGIL14 📮 这篇文章是转发给你的吗？点击…
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Dia —— Atlassian 收购背后的新篇章 💼 Atlassian 以 6.1 亿美元现金收购了 The Browser Company。CEO Mike Cannon-Brookes 表示，此举是为 AI 时代重新定义浏览器体验 🧑💻 这次收购后，The Browser Company 将在 Atlassian 旗下继续独立运营。Dia 浏览器的开发会加速，团队也能在多平台上更快迭代和发布新功能 📈 还没有体验过的朋友们可以在这里拿到邀请码1和邀请码2，总共有十个 📮 这篇文章是转发给你的吗？点击这里加入频道，一起探索更多有趣的内容！
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Mitos ASCII Tool —— 一键生成动态字符艺术 🖼️ 你有没有想过，把图片或动画变成字符艺术会是什么样？Mitos ASCII Tool 就是这样一个实验性的在线工具。它支持上传图片、调整亮度、色彩、模糊等参数，还能自定义字符集和配色，把你的视觉素材转化为独特的 ASCII 动画或静态图像 ⚙️ 不仅如此，Mitos 还允许你导出 MP4、GIF、PNG 等格式，甚至可以直接复制字符或 SVG 代码。这种灵活性让它既适合创意设计师，也适合喜欢折腾的小众玩家。每一次调整，都能看到字符在屏幕上跳动、变幻，像是给数据赋予了新的生命 📰 这个项目由 ertdfgcvb 开发，界面极简，操作直观。你可以随意尝试不同参数，或者用自定义模板玩出新花样。对于喜欢探索视觉与代码边界的人来说，Mitos 是个值得收藏的小工具 📮 这篇文章是转发给你的吗？点击这里加入频道，一起探索更多有趣的内容！
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LiquidText —— 智能 PDF 阅读工具 📝 今天想要分享一个有趣的 pdf 阅读器 LiquidText，虽然我并没有在使用它但是我常常听到不同的网友聊到这个产品的交互设计。它不仅能快速浏览文档，还能把重点内容和批注一目了然地组织在一起 🔗 最吸引我的是 LiquidText 的“折叠”功能。它这里的折叠不像是微信折叠，它会真正的把片段碾压在一起 🚀 这款产品支持 iPad、Windows 和 Mac，触控、手写、鼠标都能无缝切换。它还提供独特的可视化搜索，所有高亮和检索结果都能整合到一起，既能看到全局，又能随时回到细节 📮 这篇文章是转发给你的吗？点击这里加入频道，一起探索更多有趣的内容！
🆒3
思维幻象 —— AI推理模型能力深度揭示 🧠 最近读到一份来自Apple团队的研究，专门分析了当前最前沿的大型推理模型（LRMs）在复杂推理任务中的真实表现。不同于常见的数学或代码基准测试，这项研究采用了可控拼图环境，能细致拆解模型的推理过程和极限 🔍 他们发现，虽然这些AI模型在中等复杂度下表现优异，但一旦问题复杂度超过某个临界点，无论是“链式思考”模型还是普通大模型，准确率都会骤降。更有意思的是，模型在面对极高复杂度时，反而会减少推理步数，即使还有充足的计算资源 🧩 研究还揭示了不同模型在推理路径上的差异，比如在简单任务上“思考型”模型容易陷入“过度思考”，而在复杂任务中则难以自我纠错。这种细致的分析让我们重新审视AI推理能力的边界，以及未来模型设计的方向 📊 如果你关注AI推理、算法与模型极限，这篇报告值得一读。它不仅展示了AI在复杂推理面前的短板，也为我们理解“AI会不会真正思考”这个问题，提供了全新视角 📮 …
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Showing the 12 most recent of 19 posts we hold for @rollerrolling. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
你觉得我们频道最近内容如何
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 19 most recent posts we hold, published 19 August 2025 to 30 December 2025. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank — 628,169 of 1,151,006entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Roller | AI AGENT 中文社区” (@rollerrolling), 8,633 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/rollerrolling.
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.