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Channel

AI 工具情报局

@AIGongJuQBJ

On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry

331subscribers

+105 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-1003784186961
TypeChannel
Username@AIGongJuQBJ
CreatedBetween 1 February 2026 and 15 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live3 October 2026
Measurements held9
Confirmed unchanged1 time, most recently 3 October 2026
On Telegramt.me/AIGongJuQBJ

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 22 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

226331278.58 August 2026 — 226 subscribers8 August 2026 — 226 subscribers14 August 2026 — 238 subscribers20 August 2026 — 244 subscribers27 August 2026 — 256 subscribers2 September 2026 — 263 subscribers11 September 2026 — 301 subscribers19 September 2026 — 321 subscribers3 October 2026 — 331 subscribers8 August 20263 October 2026
9 measurements spanning 57 days, net +105. 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 210–347 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Oct 2026, 21:35331+10
19 Sept 2026, 10:15321+20
11 Sept 2026, 10:01301+38
2 Sept 2026, 23:54263+7
27 Aug 2026, 18:54256+12
20 Aug 2026, 19:46244+6
14 Aug 2026, 19:47238+12
8 Aug 2026, 10:19226no change
8 Aug 2026, 01:31226first reading

Engagement

20 posts held, back to 15 July 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 1 page of 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 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

Recent posts

7 Aug 2026, 06:00 UTC25 viewsread 8 August 2026

蚂蚁集团开源Avernet,让人与智能体像组织一样高效协作 社区版本已上线。 蚂蚁集团正式开源多智能体协作基础设施Avernet。 打开原文 · 量子位

6 Aug 2026, 12:30 UTC36 viewsread 8 August 2026

NIGHTRUN – 无需操作系统,用 U 盘启动的的本地大模型客户端 用U盘启动机器。 固件启动 NightRun 功能 将模型(1.3 至 2.4 GB)传输到内存中 你会收到一条聊天提示 模型已经在你的 CPU 上离线运行。 NIGHTRUN 是一个能直接 UEFI 启动的 LLM 终端。 运行安装程序:它会生成一个可启动镜像并将其写入U盘或SD卡。 它不支持 GPU,纯 CPU,就是一种:U盘插电脑,直接运行本地模型。 打开原文 · AI – 小众软件

4 Aug 2026, 06:00 UTC55 viewsread 8 August 2026

:fire: JS 区块支持注册前端 AI 工具:开源无代码 / 低代码平台 NocoBase main:截至目前最稳定的版本,推荐安装此版本。 next:包含即将发布的新功能,经过初步测试的版本,可能存在部分已知或未知问题。 打开原文 · OSCHINA 社区最新新闻

1 Aug 2026, 12:30 UTC73 viewsread 8 August 2026

BaseRT:专为 Apple Silicon 优化,让 Mac 本地大模型快 6.4 倍 BaseRT 是一款为 Apple Silicon 优化的本地 AI 推理引擎,可运行 Qwen、Llama、Gemma 等多种开源模型。 原文给出的 M5 Pro 数据中,提示词处理速度最高达到 llama.cpp 的 6.4 倍、MLX 的 3.9 倍。 打开原文 · AI – 小众软件

26 Jul 2026, 12:30 UTC108 viewsread 8 August 2026

Open Minis 宣布开源:比 Siri 更像 AI 助手,让手机帮你完成任务。支持 iOS、Android 原文用途:不用打开 App,剪视频、分析健康数据、整理歌单(11 个案例) 原文看点:1. 一个真正的设备上 AI 代理:原生 Linux shell、浏览器自动化、可扩展技能、持久内存,以及深度系统集成。;2. 内置完整的本地 Alpine Linux 环境 可以让 AI 在这个 Linux 环境中安装程序、编写代码、处理数据,比如安装 ffmpeg 和 yt-dlp。 平台信息:支持 iOS 与 Android 价格/授权:今天我们开源了全部内容:完整的 iOS 和 Android 代码。 项目/原文入口 · 来源:AI – 小众软件 👍 有用|🔥 想试|🤔 还需验证

25 Jul 2026, 01:00 UTC104 viewsread 8 August 2026

Kimi K3 实战对标 Fable 5:开源模型在 SWE-bench 上几乎打平了 原文用途:AI 推理平台 Fireworks AI 跑了 1030 个真实 agent 任务,把 Kimi K3(Moonshot 的开源模型)和 Fable 5 放在同一个 harness 里做了对照测试。 价格/授权:Fable 5 比开源模型贵三倍,Anthropic 的账怎么算? 项目/原文入口 · 来源:OSCHINA 社区最新新闻

24 Jul 2026, 01:00 UTC102 viewsread 8 August 2026

Solon TeamAgent 协作协议:从 SEQUENTIAL 到 HIERARCHICAL 原文用途:换协议、保留成员,同一支队伍就能从线性流水线切到主管制层级协作,而不必重写业务逻辑。 原文看点:1. Solon AI 的 TeamAgent 把这件事做成一等公民——协作协议(TeamProtocol) 项目/原文入口 · 来源:OSCHINA 社区最新新闻

23 Jul 2026, 01:00 UTC100 viewsread 8 August 2026

腾讯云开源自研 AI 助手 Octop 原文用途:Octop 更接近一次面向智能体时代的系统性重构:它重新梳理了用户、记忆、工具、执行环境与安全边界之间的关系 价格/授权:腾讯云自研的 AI 助手 Octop 宣布正式开源,源自此前的 LightClaw ACE。 项目/原文入口 · 来源:OSCHINA 社区最新新闻

22 Jul 2026, 22:06 UTC92 viewsread 8 August 2026

DailyDawn AI 趋势日报 已更名为 DailyDawn · 每日黎明(中文)

22 Jul 2026, 01:00 UTC90 viewsread 8 August 2026

“画中画中画”——Qwen Image 3.0 把四层 UI 塞进了一张图 原文用途:支持最大 4.5k token 输入,轻松生成报纸、分镜、试卷等复杂版面 原文看点:1. 支持 10px 小字精准渲染,毛孔、发丝细节生动还原,逼 项目/原文入口 · 来源:OSCHINA 社区最新新闻

21 Jul 2026, 01:00 UTC102 viewsread 8 August 2026

:trophy: 腾讯 APIJSON 8.2 :rocket: StarRocks 🧠 AI Skills, MCP 原文用途:适合中小型前后端分离的项目。 原文看点:1. 为各种增删改查提供了完全自动化的万能 API,零代码实时满足千变万化的各种新增和变更需求。;2. 能大幅降低开发和沟通成本,简化开发流程,缩短开发周期。 价格/授权:自 2016 年 11 月开源 9 年多来发展迅速,目... 项目/原文入口 · 来源:OSCHINA 社区最新新闻

20 Jul 2026, 12:30 UTC99 viewsread 8 August 2026

AI语音进入“表演时代”:阿里Qwen-Audio-3.0-TTS登顶全球权威榜单 原文用途:AI语音进入“表演时代”:阿里Qwen-Audio-3.0-TTS登顶全球权威榜单 原文看点:1. 细粒度标签+ 20 种方言 项目/原文入口 · 来源:量子位

Showing the 12 most recent of 20 posts we hold for @AIGongJuQBJ. 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.

Mentions

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.

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.

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 3 October 2026 — this entry's latest reading, not the date you are reading this.

“AI 工具情报局” (@AIGongJuQBJ), 331 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/AIGongJuQBJ.

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.