Channel
@shehuike
On this record: Growth · Engagement · Posts · Citations · Cite this entry
134subscribers
-1 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002340048642 |
|---|---|
| Type | Channel |
| Username | @shehuike |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/shehuike |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 16:37 | 134 | -2 |
| 8 Aug 2026, 23:45 | 136 | no change |
| 8 Aug 2026, 16:53 | 136 | +1 |
| 8 Aug 2026, 02:16 | 135 | first reading |
20 posts held, back to 7 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (7 August 2026 – 8 August 2026) |
| Views total | 62 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 23:45 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.
特朗普政府将向德国公司支付12亿美元取消海上风电租赁 特朗普政府将向德国能源公司RWE支付12.2亿美元，以放弃其在纽约、加利福尼亚和路易斯安那州近海建设风电场的计划。这是政府今年达成的第五笔此类协议，旨在叫停海上风电开发。根据协议，RWE将自愿交出三处联邦水域风电租赁。这些项目仍处于早期阶段，在美国政府已全面暂停海上风电联邦许可的背景下，推进空间极为有限。政府将大致按公司在拜登时期支付的租赁费用予以补偿，并解决相关法律纠纷。 RWE表示，经评估认定这些项目在可预见的未来无法获得许可，因此选择和解，以便将资源转向确定性更高的能源项目。公司计划将大致相同金额投入美国天然气领域。 —— 新浪财经
苹果更新文档：大陆版macOS 将集成阿里千问 苹果已在官方上线了在Mac 上配合Apple 智能使用千问支持文档。阿里巴巴的千问大模型正式深度集成至中国大陆地区的 Apple 智能 (Apple Intelligence) 中，支持 macOS 26.6 及更高版本、国行兼容Mac机型与中国大陆Apple账户。 —— 苹果
谷歌开发了一款便携式的离线AI翻译器 谷歌工程师团队开发了一款完全离线的翻译器，它使用运行在树莓派Pi 5上的Gemma 4 E4B模型。该团队使用Google Antigravity进行开发，并使用Gemma 4 E4B模型来提供翻译不同语言所需的AI能力。还设计了一个3D打印的外壳，以容纳所有电子元件，配有显示翻译文本的屏幕、麦克风、扬声器、一键通话按钮，以及用于切换语言的旋钮。 该团队使用LiteRT-LM来运行Gemma 4 E4B模型，并使用Moonshine文本转语音通过扬声器输出翻译后的语音。整个项目最好的部分在于，在设备初始设置之后，完全离线运行。因此，这款翻译器可以在任何没有蜂窝网络或Wi-Fi连接的地方使用。 —— Androidauthority、开源地址
X 平台推出新的奖励政策 仅向原创内容提供奖励 X 平台新奖励政策要求过去90天内帖文触达至少50万付费用户，且定期发布原创内容。复制他人内容、发布误导性的虚假信息以及令人不适的内容都将计为无效展现。 X 平台还特别强调，互动评论较少的内容也将无法获得收益。 新奖励计划将在9月8日开放申请。 —— XCreators
Claude Code 支持在 macOS 上实现跨会话通信 用户运行最新版本的 Claude Code 时，可以让不同的会话互相发送消息，以共享发现、提出问题并协调工作。作为 Claude Code v2.1.224 的新功能，当一个会话中的变更影响到另一个会话正在构建的内容时，Claude 可以在用户注意到之前向该会话发出警告；当一个会话解决了另一个会话受阻的问题时，Claude 可以将答案发送过去。 Anthropic 表示，该功能的最佳使用案例包括移交发现结果、协调并行工作树、获取长期运行任务的状态以及跨机器回复。需要注意的是，跨会话消息传递功能不适用于批准权限请求或更改配置。 —— 9to5Mac
SK海力士评估30亿美元重庆资产 或出售股份 知情人士称，SK海力士正在考虑可能对中国重庆工厂采取的方案，包括引入投资者以帮助加速发展。该公司正与潜在顾问接洽，以协助评估该业务。潜在股份出售交易对该工厂的估值可能达到大约30亿美元。 根据SK海力士官网信息，该公司在20多年前进入中国市场，当时与东部城市无锡签署协议，建设其首个海外大型晶圆制造厂。知情人士称，潜在买家可能包括中国基金和半导体行业企业。SK海力士可能会保留该资产的少数股权。相关讨论尚处于初步阶段，不一定会达成任何交易。 —— 凤凰网科技、彭博社
下一代AI模型能力逼近 “危险边界” OpenAI暂停Astra部分研发工作 OpenAI表示，由于内部评估结果显示，公司“无法排除该模型具备关键级网络攻击能力的可能性”，因此正在暂停部分涉及下一代AI模型Astra的相关工作。这是AI公司首次公开承认因安全风险而放缓模型研发进程之一。 OpenAI表示，在过去几天进行的评估中，公司发现Astra在编程和网络安全领域取得了显著进展，其能力水平已接近公司《准备框架》中定义的关键级”风险门槛。OpenAI称公司仍将继续对Astra进行基准测试和能力评估，但已暂停所有未达到更高安全要求的内部开发工作。同时，公司正在为Astra部署全面监控机制，并强化测试环境的安全限制。 —— 财联社
苹果上调多款设备以旧换新回收价格 并新增多款安卓机型 苹果调整了多款iPhone、iPad、Mac和苹果手表的以旧换新回收价格，并新增多款安卓手机回收，这可能为日益感受到价格压力的消费者提供一定安慰。苹果对旧设备回收价上涨幅度接近最高接近30%，但也有一些设备仍维持原价，总体而言平均涨幅为6.6%。 值得注意的是，苹果给出的不同机型回收价是最高价格，依据设备的保存状况、颜色、版本的不同，价格可能无法达到表中所列的水平。而对于安卓设备的回收，苹果新增了6款智能手机的回收，包括三星Galaxy S21 Ultra 5G、谷歌Pixel 9 Pro XL、谷歌Pixel 9 Pro、谷歌Pixel 9、一加13和一加13R。 —— 财联社
Linux KVM 曝出虚拟机逃逸漏洞 嵌套虚拟化功能成攻击突破口 近日，Linux KVM/x86 shadow MMU 曝光严重的虚拟机逃逸漏洞（CVE-2026-64561，PoC 名称：Zapscape），攻击者借此可实现 KVM 虚拟机逃逸与宿主机内核代码执行。该漏洞潜伏于 KVM/x86 的 shadow MMU 页回收逻辑中，攻击者可利用其实现虚拟机逃逸，并在宿主机（L0）内核空间中以最高权限执行任意代码。 核心原理与受影响范围 • 影响版本： 涵盖从 f95eec9bed76 (2020-07-08) 到 2abd5287f083 (2026-07-21) 的内核范围。主要威胁向不受信任租户开放嵌套虚拟化（nested virtualization）的 KVM/x86 云计算宿主机，以及低权限用户可访问 /dev/kvm 的主机。 • 漏洞原理： 修复前，失效检查发生在回收之前；若回收使 root 失效，后续…
美国审查中国从海外获取英伟达芯片的情况 美国正在审查中国AI公司如何从海外获取和访问英伟达的芯片。据知情人士透露，通常调查违反芯片出口管制行为的政府部门现在正更系统地审视中国AI公司获取先进处理器的合法途径，特别是通过租用位于其他国家的算力。一位白宫高官在社媒帖子中指控这些公司非法获取英伟达最好的硬件，并通过泰国的一个未具名方远程访问这些芯片。 知情人士称，尽管该帖子指控这些公司违反了相关规则，但并未与负责监督芯片出口限制的美国商务部工业和安全局进行协调。然而，几天后，工业和安全局的执法部门启动了其审查。这项工作涉及编制一份据称存在黑市交易的国家名单，这些交易旨在将受限制的英伟达芯片实际运入中国。 —— 彭博社
SK海力士将在韩国投384亿美元建晶圆厂 SK海力士7日宣布，公司将在韩国龙仁和清州新建晶圆厂，以应对AI时代持续增长的存储器需求。当天，公司董事会决议通过，在龙仁“Y2”和清州“M17”晶圆厂建设项目中分别投资35.2万亿韩元和19.1万亿韩元，合计投资约54万亿韩元（约384亿美元）。 此举是落实公司今年六月公布的中长期投资战略的又一关键进展。目前，龙仁首座晶圆厂(Y1)建设正有序推进，此次投资决定标志着龙仁和清州两地后续晶圆厂建设都启动。 SK海力士表示：“在 AI时代，仅凭技术竞争力已不足以保持优势；能否在客户所需时间点交付足量产品，才是真正的竞争力。” —— 财联社
“存储三巨头”2027产能已售罄？消息人士：一些AI公司已在“跪求芯片” 三星、SK海力士和美光目前已完成2027年全年产能分配谈判，DRAM 和 HBM的产能均已提前售罄。至于NAND芯片，由于供给的厂家较多，买方可能仍有机会可努力争取2027年NAND产能的分配和谈判空间。 据透露，多数客户最终获得的配货量仅为其初始请求的60%至70%。但三大存储供应商目前均无新增产能规划。消息人士称，一些AI企业正苦苦 “跪求” 获得零部件，并愿意支付溢价以抢购最后剩余的内存芯片。然而三星、SK海力士和美光实际可生产的内存数量存在物理极限，而这一极限似乎现已达到。 —— 财联社
Showing the 12 most recent of 20 posts we hold for @shehuike. 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 — 1,359,301 of 1,549,376entries 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.
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.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“社会课 🌐” (@shehuike), 134 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/shehuike.
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.