中国投入11亿开发AI智能体以推广习近平思想 据上海证券交易所披露的文件显示,中国官方通讯社新华社旗下的新华网计划投资超过11亿元人民币开发一款“权威”人工智能体,以推广习近平主席的思想。新华网表示,该项目名为“新华语典”,是一个“用于学习、研究和传播习近平新时代中国特色社会主义思想的智能体”,计划于6月26日正式上线。新华网称,传统推送模式也难以“有效引导舆论”,这款人工智能将以主流价值观为导向,致力于“传播主旋律好声音”。除向用户呈现习近平讲话的精髓,用户可以将其作为政治敏感的引证工具,确保“官方文件撰写和政策解读中对习近平讲话的引用准确无误”。新华社表示,该人工智能将基于其“纯净”的语料库构建,有助于将党的声音传递给中国社会的各个阶层,进一步巩固“思想和舆论基础”。上述项目整体实施周期为4.5年,实施时间自2026年7月至2030年12月。 —— 路透社,联合早报、新华社

Channel
WUTONK的脑瘫频道
@WUTONK386
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
28subscribers
+0 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 | -1001575960359 |
|---|---|
| Type | Channel |
| Username | @WUTONK386 |
| Description | 开发&生活记录频道,主要分享一些编程和阅读方面的知识 讨论群 @wtk_hk |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/WUTONK386 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 06:32 | 28 | no change |
| 8 Aug 2026, 00:16 | 28 | first reading |
Engagement
20 posts held, back to 5 November 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 1 pageof 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 5 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 240
- Videos
- 7
- Links
- 66
Lifetime counters from Telegram’s own channel header, read 11 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.
Reaction mix
4 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 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 20 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 5 November 2025 to 5 June 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
有生之年系列
人类马拉松正式突破 2 小时 萨巴斯蒂安・萨维缔造人类奇迹 刚刚结束的伦敦马拉松男子精英组,萨巴斯蒂安·萨维在最后阶段甩开生涯首马的科杰尔查,跑出惊人的 1 小时 59 分 30 秒,打破基普图姆保持的世界纪录,成为人类历史上第一位在两小时内跑完马拉松正赛的选手。获得亚军的科杰尔查同样打开两小时,1 小时 59 分 41 秒创造人类首马历史最好成绩;雅各布·基普里莫获得季军,2 小时 00 分 28 秒同样超越了基普图姆保持的原世界纪录。 格隆汇 🌸 在花频道|茶馆讨论|投稿通道
❤1
卢特尼克:美国市场不会让比亚迪进入 美国商务部长卢特尼克表示,不存在中国资本投资美国汽车产业的可能性,并称美国不需要像比亚迪这样的电动车企业进入本土市场。在美国新闻机构Semafor在17日于华盛顿举行的一场对话中,当被问及是否可能由比亚迪设立合资工厂时,卢特尼克仅以一句 “不会” 作答,引发现场笑声。随后他在同一活动场边进一步说明,指出主持人的问题明确提及比亚迪。“我们不会让他们进来,” 他表示。当被追问其他中国企业是否可能投资美国时,卢特尼克强调:“不是汽车。” —— 新加坡联合早报
一边指责中国技术转移和政府过度补贴扶持汽车行业,一边搞闭关锁国,闹麻了
硅谷顶尖 AI 人才加速回流中国,字节腾讯等大厂成主要去向 过去一年,中国 AI 领域出现显著的人才回流趋势,多位曾就职于 OpenAI 和 Google DeepMind 的顶尖研究员选择回国加入字节跳动、腾讯及阿里巴巴等科技巨头。猎头数据显示,过去 12 个月内协助回国发展的留美研究员超过 30 名,远超往年的个位数水平。此外,清华大学毕业生赴美攻读博士学位的比例也从疫情前的 50% 大幅降至约 20%。 这一转变受多重因素驱动。中国科技企业提供的薪酬在经税收和生活成本调整后已超越硅谷标准,且国内在机器人、自动驾驶等领域的广泛应用场景和完善的供应链优势提供了巨大的研发空间。与此同时,美国日益收紧的移民政策和地缘政治紧张局势,也让许多华裔工程师在硅谷感到不确定性增加,从而转向更具机会且文化契合度更高的国内市场。 Financial Times 🌸 在花频道|茶馆讨论|投稿通道
Posted without readable text
时光荏苒 我已经从开局看黑马的傻逼变成了开局V8的大傻逼
已解锁成就:yolo!
❤3
Photo, posted without a caption
Sticker, posted without a caption
实训周加德语课加备考四级太爽了
Showing the 12 most recent of 20 posts we hold for @WUTONK386. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“WUTONK的脑瘫频道” (@WUTONK386), 28 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/WUTONK386.
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.