Telegram RegisterThe public register of Telegram

Channel

AI中文社区|AI新闻| AI赚钱

@aipluscn

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

309subscribers

+5 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003847741897
TypeChannel
Username@aipluscn
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/aipluscn

Growth

304309306.58 Aug 2026, 03:18 — 304 subscribers8 Aug 2026, 07:50 — 304 subscribers8 Aug 2026, 22:27 — 309 subscribers8 Aug 2026, 03:188 Aug 2026, 22:27
3 measurements taken within a single day, net +5. 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 303–310 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 22:27309+5
8 Aug 2026, 07:50304no change
8 Aug 2026, 03:18304first reading

Engagement

19 posts held, back to 6 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.43%
avg views ÷ 309 subscribers
Avg views / post
13.7
19 posts measured
Reaction rate
4.00%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 1 of 19 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 8 August 2026
Posts held19 (6 August 20268 August 2026)
Views total260
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 07:50 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

Video runtime
16s
Average length
16s

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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1100.0%

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 1 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 6 August 2026 to 8 August 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

8 Aug 2026, 07:22 UTC2 viewsread 8 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6927807541

8 Aug 2026, 07:22 UTC1 viewsread 8 August 2026
Forwarded from @ailibraryaPhoto

夏日海岸写真|高调逆光里的安静瞬间 分类:人像 这次的作品是偏日系写真集气质的海边人像。 画面没有走常见的蓝天、碧海、高饱和夏日路线,而是把整体压在灰白、银色和低饱和肤色里,用高调逆光、轻微过曝、湿发和海面反光,营造一种接近“夏日记忆”的感觉。 人物采用侧身站姿,不直视镜头,视线落在远处。轻薄针织罩衫只保留一点材质层次,让肩线、腰线和整体轮廓自然出现在逆光里,不抢人物本身。 我比较喜欢这类画面的地方,是它不像传统泳装写真那么强调摆拍,也不像商业广告那么精致完整,而是介于写真集封面、旅行抓拍和电影静帧之间。 关键词: 日系写真 / 夏日海岸 / 高调逆光 / 湿发 / 低饱和 / 胶片颗粒 / 留白构图 适合延展到:写真封面、夏日人物系列、旅行视觉、社媒封面、品牌情绪片。

8 Aug 2026, 04:31 UTC7 viewsread 8 August 2026
Video

Anthropic 给 Claude Code 加了一个很实用的新能力:不同会话之间可以互相“说话”了。 在最新的 Claude Code v2.1.224 中,macOS 和 Linux 已支持 Cross-session messaging。简单来说,如果你同时开了多个 Claude Code 终端会话处理同一个项目的不同任务,它们现在可以互相发送消息、同步发现、汇报状态,甚至协调并行工作。 这对多任务开发很有用。比如一个会话修改了底层接口,可能影响其他模块,它可以主动提醒相关会话;另一个会话如果解决了某个关键问题,也可以把结论直接同步过去,不需要再由人手动复制粘贴。 官方给出的典型场景包括:传递分析结论、协调 worktrees、查询长任务状态,以及跨机器沟通。用户也不需要自己设计复杂消息格式,只要说清楚想传达什么,Claude 会自动组织成完整消息。 权限方面仍然比较克制。跨会话消息不能直接批准权限请求,也不能修

8 Aug 2026, 04:30 UTC3 viewsread 8 August 2026
Photo

OpenAI:Astra 网络安全能力可能达到「Critical」级别,部分内部活动已暂停 OpenAI 8 月 7 日首次披露了下一代模型 Astra 的网络安全评估结果。初步测试显示,Astra 在 Agentic Coding 和网络安全方面取得了明显进展,目前 OpenAI 无法排除其能力已经触及 Preparedness Framework 中最高的「Critical」网络能力阈值。相比之下,此前 GPT-5.6 Sol 等模型仍处于 High 级别。OpenAI 按照 OpenAI 的 Preparedness Framework,High 代表模型已经明显增加现有严重风险,而 Critical 则意味着可能带来过去没有成熟先例的全新严重威胁。因此,Critical 并不是简单的“模型更会写代码”,而是需要采用更高级别的安全和部署控制。OpenAI OpenAI 已经开始提高 Astra 的安全级别,包括采用隔

8 Aug 2026, 04:26 UTC3 viewsread 8 August 2026
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Anthropic 最近连续更新了两项安全机制,一个针对 Claude Code,一个针对 Fable 5。 从 8 月 14 日起,Claude Code 将面向 Pro、Max 和 Team 用户的新会话默认启用自动模式。这个模式会通过分类器检查每一次工具调用,重点拦截不可逆、破坏性或可能越出用户环境的操作,而且相关额外计算开销也不再单独收费。 Anthropic 给出的一组测试数据很有意思:在 1,053 名付费测试用户中,自动模式成功拦截了 89% 的危险命令,而用户自己只识别出了 13.6%。Enterprise、API 和部分云平台用户目前还需要手动开启,官方计划未来一个月逐步改为默认。 另一边,Anthropic 也更新了 Claude Fable 5 的生物学安全防护,重点不是“加强拦截”,而是减少误判。官方称,生物学相关查询触发系统降级的次数降低约 85%,像日常健康问题、生物学学习这类正常请求,被错误

8 Aug 2026, 04:23 UTC3 viewsread 8 August 2026
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美国AI监管之争加剧 特朗普:国会想把AI公司监管到倒闭 据路透社报道,美国总统特朗普在接受政治新闻网站Punchbowl News采访时表示,美国国会想把AI行业“监管到倒闭”。特朗普的言论凸显了华盛顿内部一场不断扩大的争论:究竟以多大力度来监管快速发展的AI行业。目前,该行业基本上仍是在没有新联邦法规约束的情况下发展。美国国会议员已提出了一系列尚未取得进展的方案,其中一项法案要求最强大AI模型的开发者提交模型进行独立安全审计。 特朗普 在特朗普看来,AI缺乏监管并非坏事,他也并不太担心国会在AI监管方面无所作为。 “从某个角度来看这是好事,但从另一个角度看这也是坏事,”特朗普在周五的《Fly Out Day》节目上表示,“国会议员想把(AI公司)监管到倒闭”。 过去几周,关于AI监管的争论变得更加紧迫,原因是OpenAI和Anthropic表示,他们的AI系统在安全测试期间曾脱离控制。OpenAI的智能体触发了一次

7 Aug 2026, 17:37 UTC16 viewsread 8 August 2026
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据媒体报道,《Operation Octo》开发者 Klub Kofta Studio 称,Google AI 曾准确回答出一个尚未发布的角色名“Vantage Tripod”。开发者表示,这个名称没有出现在游戏代码、Steam 后台或公开文件中;按其记忆,唯一的数字痕迹是一份个人私密 Google Doc。 Google 的回应是,不会使用用户 Workspace 中的私人文档——包括 Google Drive 和 Docs——训练 Gemini 等基础模型。Google 同时指出,如果文档通过共享链接公开,且能被网络爬虫访问,则可能被搜索引擎索引。 目前,Google AI 是否从这份私密文档获取名称,尚未得到独立证实。原始回答也已难以复现;对同一问题的现有查询结果,可能会引用后续出现的社区讨论帖。 这件事的关键不只是“模型是否训练了私密数据”,还包括搜索索引、公开分享权限、第三方页面抓取和模型生成等不同路径。现阶段的

7 Aug 2026, 08:07 UTC25 views1 reactionsread 8 August 2026

怎么用? 看这里 👇 https://t.me/skillslib/321

👍1

7 Aug 2026, 07:56 UTC21 viewsread 8 August 2026
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Adobe 和 OpenAI 把合作范围继续扩大了。 从 8 月 6 日开始,Adobe 在 ChatGPT 中的插件已经扩展到 70 多项专业创意工具,覆盖 Photoshop、Premiere、Acrobat、Lightroom、Illustrator、InDesign、Firefly、Adobe Express、Stock 等产品。用户可以直接在 ChatGPT 里通过自然语言调用这些能力,完成图片编辑、视频制作、设计和文档处理,不需要反复在不同软件之间切换。 Adobe 去年底已经把 Photoshop、Acrobat 和 Adobe Express 接入 ChatGPT,这次更像是把合作从几个单独应用,扩展成了接近完整的 Adobe 创意工具体系。Adobe 官方也特别提到,这套插件可以和 ChatGPT Work 等 Agent 工作流结合使用。 不过 Adobe 的定位也很明确:ChatGPT 里的这些能力并

7 Aug 2026, 05:27 UTC18 viewsread 8 August 2026

OpenAI 最快下周发布新旗舰模型 Astra,主攻复杂推理与多 Agent 协同 据消息源爆料,OpenAI 计划最快于下周发布新旗舰模型 Astra,内部代号为 mewfour。该模型被称为 GPT-4.5 之后 OpenAI 最大规模的一次预训练,重点面向更强的复杂推理和长周期任务处理。 目前流出的信息显示,Astra 的一个重要方向是多智能体协同。它不仅负责单次回答,还可以组织多个 AI Agent 分工、协作,持续完成更复杂的任务流程。这意味着它的定位可能会进一步从“对话模型”向“Agent 执行底座”延伸。 此前还有消息称,Astra 的内部版本曾解出 10 个重要开放数学问题。若按 Sol API 费率估算,完成这些求解任务消耗的总 token 成本约为 2000 美元。不过这部分能力表现和成本数据目前仍属于爆料信息,尚未得到 OpenAI 官方确认。 从发布时间来看,OpenAI 最近明显在加快模型更

7 Aug 2026, 05:16 UTC17 viewsread 8 August 2026
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OpenAI 又在调整 GPT-5.6 的使用体验了。 这次比较有意思的是,Plus / Pro 用户可以通过新的“思考强度”滑块,自己控制 GPT-5.6 Sol 到底要思考多深:简单问题快速回答,复杂任务再给更多计算资源。免费用户的 GPT-5.6 Luna 也加入了 Think 按钮,需要的时候可以主动切到深度推理。 另外这次还专门处理了几个很实际的问题:回答太长、格式太多、明明不知道还硬答,以及用户说错了模型还顺着说。OpenAI 的方向就是让回答更短、更聚焦,事实不对的时候直接纠正。

Showing the 12 most recent of 19 posts we hold for @aipluscn. 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

Citation-graph rank — 91,553 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.

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 6 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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“AI中文社区|AI新闻| AI赚钱” (@aipluscn), 309 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/aipluscn.

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.