领英收紧认证规则 打击假冒招聘人员 美国人对网络求职诈骗的愤怒情绪已达到沸点。如今,领英平台将推出新工具,帮助用户辨别真伪,避免将钱财或简历交到诈骗者手中。该公司计划于本月推出的这些新举措重点在于身份认证,用户可通过该系统提交政府签发的身份证件和工作邮箱地址。通过认证后,其个人资料页面将显示一个对勾标记,作为真实性的标志。 领英表示,借助这项新功能,已认证公司主页的管理员还可以阻止这些用户以该公司员工身份出现在搜索结果中。被公司标记为假冒者的用户,如今只有七天来证明自己确实在该机构任职,否则将被移除。

Channel
互联网观察
@guanchahulw
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
67,029subscribers
-7,096 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002023057151 |
|---|---|
| Type | Channel |
| Username | @guanchahulw |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/guanchahulw |
Topic
National news — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 00:38 | 67,029 | -420 |
| 15 Sept 2026, 16:58 | 67,449 | -28 |
| 14 Sept 2026, 03:42 | 67,477 | -363 |
| 12 Sept 2026, 07:58 | 67,840 | -394 |
| 10 Sept 2026, 06:21 | 68,234 | -649 |
| 7 Sept 2026, 00:20 | 68,883 | -434 |
| 4 Sept 2026, 12:20 | 69,317 | -307 |
| 2 Sept 2026, 23:35 | 69,624 | -241 |
| 1 Sept 2026, 22:28 | 69,865 | -331 |
| 31 Aug 2026, 22:16 | 70,196 | -202 |
| 30 Aug 2026, 22:03 | 70,398 | -216 |
| 29 Aug 2026, 18:25 | 70,614 | -176 |
| 28 Aug 2026, 17:05 | 70,790 | -195 |
| 27 Aug 2026, 20:02 | 70,985 | -5 |
| 26 Aug 2026, 23:27 | 70,990 | -148 |
| 26 Aug 2026, 01:13 | 71,138 | -173 |
| 24 Aug 2026, 23:16 | 71,311 | -255 |
| 23 Aug 2026, 12:36 | 71,566 | -319 |
| 21 Aug 2026, 23:58 | 71,885 | -165 |
| 20 Aug 2026, 16:34 | 72,050 | first reading |
Engagement
348 posts held, back to 5 August 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 98 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.226%
- avg views ÷ 67,029 subscribers
- Avg views / post
- 152
- 231 posts measured
- Reaction rate
- 0.699%
- reactions ÷ views · ER floor
- Posts in window
- 231
- of 348 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 61 of 231 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 September 2026 |
|---|---|
| Posts held | 348 (5 August 2026 – 24 September 2026) |
| Views total | 35,027 |
| Reactions total | 67 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 01:56 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
- Photos
- 188
- Videos
- 555
- Links
- 139
Lifetime counters from Telegram’s own channel header, read 24 September 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.
- Video runtime
- 21m 09s
- Average length
- 20s
Measured directly from 62 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.
Reaction mix
99 reactions across 84 posts, in 3 distinct kinds. The most used accounts for 86.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 86 | 86.9% | |
| ❤ | 12 | 12.1% | |
| 🐳 | 1 | 1.01% |
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 87 of the 348 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 99 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 348 most recent posts we hold, published 5 August 2026 to 24 September 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
黄仁勋再对AI公司放话:要求监管就不应获得反垄断豁免 在周三播出的节目中,黄仁勋接受了近两个小时的采访,就OpenAI智能体入侵Hugging Face一事进行了广泛讨论。 黄仁勋一直反对对AI安全进行全面监管,即便OpenAI和Anthropic等实验室呼吁进行此类监管。他重申了自己的立场,即AI实验室有责任测试其产品,只有在确信模型安全后才会发布。黄仁勋说:“不过,考虑到他们所从事工作的复杂性,如果要求在反垄断法或产品责任方面获得监管豁免,我认为这说不通。当你要求监管时,不应该要求豁免现有的监管规定。” Anthropic CEO 阿莫代伊本月在一篇文章中呼吁给予AI实验室反垄断豁免,允许它们在AI安全问题上开展合作。
👍1
Photo, posted without a caption
中国审查国有数据中心对博通交换机的依赖程度 在推动本土生产商发展、减轻对外国AI基础设施依赖之际,中国有关部门正在审查国家支持的数据中心使用博通硬件的情况。据两名了解此次调查的人士透露,近几周来,负责监管国有公司的国资委一直在调查国有数据中心中博通交换机的数量。其中一名人士表示,国资委的这项调查,旨在支持“国产芯片国内用”行动。该行动旨在推动中国公共部门扩大国产半导体和AI产品的使用。其中一名人士表示,调查发现,博通交换机在国有公司的渗透率可能高达90%。初步调查结果可能促使国资委发布非正式指导意见,以减少国内数据中心对博通交换机的使用。
美国谴责澳大利亚社交媒体算法监管计划 美国政府批评澳大利亚限制社交媒体算法和网络有害内容的计划。澳大利亚本月公布的拟议 “数字注意义务” 法规将强制要求包括游戏公司、社交媒体运营商和AI聊天机器人在内的一系列在线服务商,确保其产品在设计之初就对18岁以下用户是安全的。该计划旨在遏制辱骂性和有害内容在网上传播,同时也给各大平台的运营模式带来了新的合规负担。其中一个关键是提议允许澳大利亚社媒用户选择退出算法推荐机制。 美国驻堪培拉大使馆表示,要求澳大利亚撤回任何要求平台基于政府界定的模糊安全标准,通过算法压制内容的计划。
美国总统特朗普拒绝AI监管“全球主义方案” 美国总统特朗普拒绝了旨在控制AI的“全球主义方案”,这打击了英国首相为这项技术制定全新20国集团全球指导方针的计划。特朗普周二在联合国发表演讲时表示,“美国完全反对任何试图构建全球主义方案、以控制AI的做法”。英国首相伯纳姆曾表示,英国希望利用明年的20国集团轮值主席国任期,重点关注人工智能可能带来的风险。 特朗普发表上述言论是在他本周于白宫会见中国国家主席习近平之前。特朗普说:“我们目前大幅领先于中国,也领先于其他所有国家,而且我们会保持这一优势。”
TikTok美国加入了儿童安全倡议Lantern 在从TikTok拆分出来八个月之后,该社交媒体平台的美国业务部门TikTok USDS合资公司正在加入Lantern,这是一个由科技联盟发起、并得到众多科技公司支持的跨平台儿童安全计划。Lantern于2023年推出,帮助社交媒体公司携手合作,以安全地共享有害行为和内容的信号,从而在恶意行为者在不同平台间流窜时将其识别出来。 Lantern的主任表示:“跨平台合作对于识别和打击儿童性剥削以及性虐待至关重要,而 TikTok USDS合资企业的参与将有助于加强更广泛的科技生态系统中的协调执法。”截至2025年,Lantern表示,参与公司已共享了超过 200万个潜在违规行为的信号。
联合国秘书长呼吁达成AI协定以防止杀人机器人出现 联合国秘书长加大了对AI监管的呼吁,以避免一个企业权力猖獗和杀人机器人肆虐的反乌托邦未来。 安东尼奥·古特雷斯利用他在联合国大会上向世界领导人发表的最后一次讲话,对AI的危险发出警报,认为前沿模型的飞速发展有可能削弱民族与国家。“我们正在目睹一场非同寻常的权力转移,从政府转向少数私营公司和个人,”古特雷斯周二说,同时呼吁就新的AI保障措施达成国际协议。 “AI正以非凡的速度向前推进,并远远超前于我们理解其全部后果的能力”他补充说,“拥有最强AI能力的政府对人类负有最大责任,要建立对话、透明度、信任与合作的渠道。”
蒸馏美国AI模型反致国家数据外泄,深度求索与月之暗面遭网信办调查 路透社22日引述新闻网站The Information快讯报道,中国网信办已对知名人工智能科技公司深度求索及月之暗面进行调查,两家公司可能涉及在「蒸馏」美国AI模型的过程,让中国国家级数据外流。 美国AI巨头之一的Anthropic本月稍早惊爆,深度求索及月之暗面曾使用其语言模型Claude处理自家用户的请求,再将答案冒充成自己的成果。月之暗面旗下模型Kimi用户曾上传中国监视摄影机的视频资料,其中包括解放军设施外的监视画面,可能导致国家机密流入美国。此外,阿里巴巴、小米等高层也已被约谈。
Photo, posted without a caption
👍1
Video, posted without a caption
日本JCB卡在中国超1800座地铁站实现刷卡过闸 日本信用卡公司JCB发布消息称,已在中国广东省深圳市的地铁实现刷信用卡非接触支付乘车。包括此次新增的地铁站在内,该公司的非接触支付目前可在中国共 1891 座车站使用。JCB International已在深圳地铁启动相关服务。用户可在闸机上进行非接触支付,无需提前购买车票,只需刷一下信用卡或者绑定了信用卡的智能手机,即可乘坐地铁。JCB此前已在中国上海市、北京市和广东省广州市的地铁引入非接触支付,深圳是第4座开通该服务的城市。JCB说:“还支持各城市的机场线,游客也可以便捷使用”。
Showing the 12 most recent of 348 posts we hold for @guanchahulw. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@HuaErJie1 · 66,992#1
@jinsecaijinpingdao · 239,544#2
@fenchacaij · 255,096#3
@BtokMedia · 288,827#4
@chaincatcher · 9,982#5
@wublock · 15,540#6
@ETHHunter188 · 2,847#7
@FSTSWAP_FIST · 6,726#8
@MetaEraNews · 20,955#9
@mastelong · 1,532#10
@bitpush · 2,293#11
@btokactivity · 26,374#12
@jinse2017 · 22,784#13
@flokiinuchina · 202,000#14
@FirstGambles · 10,753#15
@theblockbeats · 37,492#16
@cointime_cn · 3,306#17
@toncoin_cn · 141,084#18
@BTOKOFFICIALCHANNEL · 315,979#19
@TechFlowDaily · 18,726#20
@telonews_cn · 83,700#21
@tugouzhijia001 · 814#22
@Odaily_News · 20,591#23
@jinseBTC · 23,761#24
@baycminerchannel · 118,025#25
@fengyashecn · 1,042#26
@lanyancoin · 820#27
@btclts1234 · 407#28
@Rifthron_zh · 135#29
@Ashley_uulai · 8,980#30
@bitget_voyager · 12,099#31
@doraemon_push · 3,990#32
@Dwen_Exchange · 34,885#33
@BiDaoPD · 16,917#34
@btc18688 · 25,268#35
@ChannelPANews · 24,042#36
@qinwangpd · 1,295#37
@ppbbb · 22,090#38
@babylisacaiyundao · 8,507#39
@YeSu00066 · 6,591#40
@jiliguala99 · 2,338#41
@PEAKFIRE · 14,655#42
@lianqiujun · 12,900#43
@haomenguoji · 5,280#44
@biqrxnxi_KT · 8,834#45
@BlackMythChannel · 595#46
@AveETHTokenScanner_cn · 534#47
@fcytssy · 380#48
@aicoincn0 · 814#49
@eth77896bnb · 9,457#50
@TalentcapitalPD · 8,614#51
@dogs366 · 310#52
@bitgetTW99 · 1,390#53
@btcyouliang · 28,837#54
@kimchicnCTO · 1,006#55
@TugoujianKong · 3,483#56
@foresightnews · 18,046#57
@crypto_achan_tw · 7,459#58
@fanji8888 · 13,692#59
@Spike_EL · 7,551#60
@bx777 · 43,911#61
@doge365 · 19,615#62
@JBcryptotrader881117 · 5,508#63
@TheBlock001 · 54,544#64
@Cointelegraph001 · 66,751#65
@Coindesk001 · 53,782#66
@TonNewsMiniApp · 95,447#67
@cWJXBLMmWms0MmJl · 86#68
@oobbb1 · 21,258#69
@qihangkxia · 2,527#70
@btc100w100w2 · 7,066#71
@pepeboost168888 · 5,825#72
Read from Telegram’s recommendation API, most recently 20 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@HuaErJie1 · 66,992
Telegram ranks this channel #1 of 80 here — alongside 79 others — read 20 August 2026
@jinsecaijinpingdao · 239,544
Telegram ranks this channel #3 of 90 here — alongside 89 others — read 17 August 2026
@BtokMedia · 288,827
Telegram ranks this channel #7 of 88 here — alongside 87 others — read 17 August 2026
@TheBlock001 · 54,544
Telegram ranks this channel #8 of 61 here — alongside 60 others — read 22 August 2026
@Cointelegraph001 · 66,751
Telegram ranks this channel #11 of 47 here — alongside 46 others — read 19 August 2026
@fenchacaij · 255,096
Telegram ranks this channel #11 of 83 here — alongside 82 others — read 17 August 2026
@Coindesk001 · 53,782
Telegram ranks this channel #14 of 57 here — alongside 56 others — read 22 August 2026
@flokiinuchina · 202,000
Telegram ranks this channel #17 of 81 here — alongside 80 others — read 17 August 2026
@btokactivity · 26,374
Telegram ranks this channel #27 of 60 here — alongside 59 others — read 11 September 2026
@BTOKOFFICIALCHANNEL · 315,979
Telegram ranks this channel #38 of 71 here — alongside 70 others — read 17 August 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“互联网观察” (@guanchahulw), 67,029 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/guanchahulw.
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.