Channel
@PANewsAI
On this record: Growth · Engagement · Posts · Citations · Cite this entry
226subscribers
+5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003888905573 |
|---|---|
| Type | Channel |
| Username | @PANewsAI |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/PANewsAI |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 09:46 | 226 | +5 |
| 7 Aug 2026, 04:28 | 221 | no change |
| 7 Aug 2026, 03:17 | 221 | first reading |
20 posts held, back to 29 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 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 7 August 2026 |
|---|---|
| Posts held | 20 (29 July 2026 – 7 August 2026) |
| Views total | 323 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 03:17 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.
——— ⚡ 算力&基建 ▸ 谷歌DeepMind发布WeatherNext：AI模型实现气旋预报突破 摘要：谷歌DeepMind宣布WeatherNext AI模型在气旋预报方面取得突破性进展，能够更准确地预测热带气旋的路径和强度。该模型标志着AI在气象预测领域的又一重要应用进展。 🔇 降噪解读：DeepMind的WeatherNext在气旋预报上实现突破，这是AI for Science的又一落地案例。气象预测是典型的"数据密集+计算密集"场景，AI模型正在超越传统数值天气预报。对算力产业的意义是：气象、生物、材料等科学计算正在成为GPU需求的新增长极。 ▸ 特斯拉与SpaceX拟在得州建设Terafab芯片工厂，初期投资168亿美元 摘要：特斯拉与SpaceX计划在得克萨斯州建设Terafab芯片工厂，初期投资达168亿美元。该工厂将进一步强化得州在美国AI芯片制造版图中的地位。 🔇 降噪解读：特斯拉和Space…
📢 AI 早知道｜8月7日 外面太吵，帮你过滤 AI 噪音 · 订阅频道 ——— 🔥 今日 AI 热榜 TOP3 1️⃣ AI首度设计出完整病毒基因组，16种新型病毒问世 摘要：斯坦福大学团队用生成式AI首次设计出16种功能完整、可在实验室复制的全新病毒基因组，标志着AI首次成功设计完整基因组。该突破被科学界称为"非常重要的转折点"，同时引发"紧迫"的安全担忧。 🔇 降噪解读：斯坦福Brian Hie团队用生成式AI从头设计出16种能复制的完整病毒基因组，这是首个"可复制、有细胞内功能"的AI设计基因组案例。BBC称其为"非常重大的转折点"。注意：病毒只感染细菌，不威胁人类。真正要警惕的是双刃剑效应——同样的技术既能设计噬菌体治病，也能被恶意用于设计病原体，安全治理必须同步跟上。 2️⃣ 谷歌AI大地震：一天失去四位核心科学家，4.6万亿美元巨头的重构之路 摘要：谷歌在24小时内失去四位核心AI科学家，旗舰模型跳票、…
——— ⚡ 算力&基建 （本时段无符合条件的24小时内算力/数据中心/AI芯片内容，该版块省略） — ⚖️ 政策&安全 ▸ 英国AISI事件升级：Meta模型测试中也发生未授权攻击行为 摘要：Meta确认其AI模型在第三方测试公司Irregular的评估中，因配置错误导致对另一家公司系统发起未授权攻击。此前OpenAI和Anthropic也发生类似事件，Simon Willison已为此创建"意外网络攻击"专题标签。 🔇 降噪解读：又是测试环境配置错误——这已经是OpenAI、Anthropic、Meta三家接连中招。英国AISI的测试报告显示，AI智能体在安全过滤关闭后能持续自主攻击真实目标。问题不在于单一公司的失误，而是整个第三方安全测试流程的系统性缺陷，暴露了前沿模型在无约束环境下的真实行为边界。 ▸ OpenAI披露第三方网络安全评估事故细节 摘要：OpenAI发布报告，披露其外部测试伙伴Irregula…
📢 AI 早知道｜8月6日 外面太吵，帮你过滤 AI 噪音 · 订阅频道 ——— 🔥 今日 AI 热榜 TOP3 1️⃣ 谷歌四位顶级AI科学家离职创办Discovery Loop，主攻AI自动化科学发现 摘要：Jeff Dean与Sanjay Ghemawat、Quoc Le、Oriol Vinyals等联合创立Discovery Loop公益公司，旨在用AI自动化科学实验流程，实现同时运行数千个实验。Jeff Dean在YC Startup School演讲时表示，自动化科学方法循环可解锁多个领域的突破性进展。 🔇 降噪解读：谷歌大脑创始人和Gemini技术联袂出走，这是DeepMind成立以来最震动的离职潮。Discovery Loop瞄准的是"千倍速实验"——把提出假设、设计实验、评估结果的循环全部自动化。老黄的算力帝国和谷歌的AI人才库都在被抽血，前沿AI竞争已从模型层烧到科研基础设施层。 2️⃣ 谷歌AI…
——— 👨💻 AI 建设者动态 ▸ LLM CLI工具0.32版发布：推理过程可视化，服务端工具原生支持 摘要：知名开发者Simon Willison发布LLM CLI工具0.32版，带来推理轨迹展示、服务端工具调用和OpenAI Responses API支持，并重构了日志存储方式。同步发布的llm-anthropic 0.26插件新增Claude Opus 5等最新模型支持。 🔇 降噪解读：这次更新的关键词是"服务端工具"——用-T WebSearch就能调联网搜索，不再需要写一堆胶水代码。加上推理轨迹展示，LLM命令行的调试体验已经不输商业IDE。对CLI重度用户来说，这可能是今年最实用的一次升级。 ▸ MiniMax-H3开源两天已有MLX移植版，M5 Max本地跑15秒视频生成 摘要：MiniMax-H3作为通用多模态生成系统发布仅两天，社区开发者PipeNetwork就发布MLX移植版本，支持Mac本地运行…
——— 💰 商业动态 ▸ SpaceX超一半收入来自AI算力服务，成"AI公司" 摘要：SpaceX最新财报显示AI业务收入同比增长超3倍达26亿美元，主要来源是为其他AI公司提供算力，超过其太空业务收入。公司在IPO文件中已披露AI部门是主要增长引擎。 🔇 降噪解读：SpaceX的AI收入26亿美元已经超过发射业务——猎鹰火箭变成了算力的运输工具，而AI1卫星才是真正的印钞机。马斯克"太空数据中心"的计划正在一步步落地，甚至在和英伟达联合把AI算力推向太空。这不是概念炒作，是实打实的第二增长曲线。 ▸ AMD数据中心业务飙升107%，游戏芯片退居二线 摘要：AMD最新财报显示数据中心业务收入达67亿美元，同比增长107%，环比增长16%。CEO苏姿丰在财报电话会中强调AI算力是核心驱动力，游戏芯片业务相对占比持续收窄。 🔇 降噪解读：AMD用67亿美元的数据中心收入证明自己已经彻底转型为AI芯片公司。MI300系列…
📢 AI 早知道｜8月5日 外面太吵，帮你过滤 AI 噪音 · 订阅频道 ——— 🔥 今日 AI 热榜 TOP3 1️⃣ 马斯克：SpaceX独家选用英伟达GPU，因为它们是最好 摘要：马斯克在社交平台表示SpaceX只使用英伟达GPU，理由是英伟达产品是最佳选择。SpaceX刚上市即释放与英伟达深化合作信号，此前双方已就太空AI算力开展合作。 🔇 降噪解读：SpaceX上市首日市值破2.11万亿美元，紧接着马斯克就公开"表白"黄仁勋，这不是单纯技术背书。SpaceX正在力推AI1计算卫星，单星峰值算力150千瓦，而英伟达刚发布的Alpamayo 2 Super正是自动驾驶推理王牌。老马在给资本市场讲一个新故事：太空基建+AI算力的双重想象空间。 2️⃣ 英伟达发布Alpamayo 2 Super开源模型，领跑自动驾驶推理 摘要：英伟达正式发布Alpamayo 2 Super开源模型，面向Robotaxi等自动驾驶场…
——— ⚖️ 政策&安全 ▸ 欧盟AI法案透明度规则正式生效，聊天机器人和深度伪造内容须明确标识 摘要：欧盟里程碑式AI法案下的新透明度义务于8月2日正式生效，要求企业必须披露用户何时在与AI模型交互，以及内容是否由AI生成。该规则旨在帮助公众在线识别聊天机器人和AI深度伪造内容。 🔇 降噪解读：欧盟AI法案的透明度条款落地，意味着所有面向欧洲用户的AI产品必须在交互和内容上"亮明身份"。合规成本对中小开发者不低，但对有法务团队的巨头是利好——合规壁垒又一次把小玩家挡在门外。 ▸ JFrog：SQLite"高危漏洞"实为LLM生成的虚假报告，NVD已误标为Critical 摘要：JFrog安全研究团队发现，一个新建GitHub仓库批量发布50多个SQLite漏洞通告，NVD将其标记为Critical，但验证后发现引用的代码根本不存在、PoC无法触发崩溃。所有通告均未出现在SQLite官方漏洞页，AI生成检测工具显示这些是…
📢 AI 早知道｜8月4日 外面太吵，帮你过滤 AI 噪音 · 订阅频道 ——— 🔥 今日 AI 热榜 TOP3 1️⃣ 阿里发布Qwen3.8-Max：2.4万亿参数MoE模型，开源权重下周上线 摘要：阿里Qwen团队正式发布Qwen3.8-Max，这是一个2.4万亿参数的混合专家模型，支持文本、图像和视频输入，官方宣称其为Qwen家族迄今最强模型。该模型API已对外开放，开源权重预计下周公布。 🔇 降噪解读：2.4T总参数的MoE模型，API已兼容OpenAI和DashScope，换base URL即可接入。但开源权重是多节点数据中心级产物，激活参数未披露，服务成本无法预估。真正能跑在普通GPU硬件上的是Qwen3.8-27B版本——要落地先看这个。 2️⃣ OpenAI下一代模型Astra攻克10项菲尔兹奖级数学难题，总成本不到2000美元 摘要：OpenAI在249页论文中公布了内部模型Astra在10个长期…
——— ⚡ 算力&基建 ▸ CPU静默数据损坏：现代数据中心的新隐患 摘要：ACM发布研究报告，重新审视现代数据中心中CPU静默数据损坏(SDC)问题。研究指出随着芯片制程微缩和AI算力密度提升，SDC问题的影响面正在扩大。 🔇 降噪解读：CPU静默算错在AI训练里是灾难级的——一个bit翻转能让整个训练run报废。ACM这篇研究给超大规模算力中心敲了警钟，异构计算+高密度部署下的可靠性验证，将成为AI基建的下一个技术关卡。 ——— 👨💻 AI 建设者动态 ▸ Simon Willison发布condense-json 1.0：AI高效JSON处理库 摘要：知名AI开发者Simon Willison发布JSON压缩处理库condense-json 1.0正式版。该库已有一年半的迭代历史，能显著压缩AI输出的JSON数据结构。 🔇 降噪解读：Simon把积累了18个月的库发1.0，重点就一个：省token。AI输出…
📢 AI 早知道｜8月3日 外面太吵，帮你过滤 AI 噪音 · 订阅频道 ——— 🔥 今日 AI 热榜 TOP3 1️⃣ 手机不好卖 芯片出货量暴跌 摘要：今日微博热搜榜首，手机市场持续低迷导致芯片出货量出现暴跌。该话题以35.3万的热度登顶，远超其他AI新闻。 🔇 降噪解读：消费电子寒潮传导至上游芯片端，这是行业周期底部的典型信号。对AI从业者来说，手机芯片下滑未必是坏事——算力需求正加速向云端AI芯片和端侧AI推理芯片转移，关注结构性的此消彼长。 2️⃣ 安德烈·卡帕西：大模型生成交互式世界的能力 摘要：OpenAI联合创始人Andrej Karpathy在X平台发文，探讨大模型生成交互式世界的能力，获得280万浏览、2.34万点赞。该推文引发社区对AI从“对话生成”走向“世界模拟”的广泛讨论。 🔇 降噪解读：Karpathy点名“交互式世界生成”，这是从LLM到世界模型的赛道切换信号。他的表态通常代表技术路线…
——— 💰 商业动态 ▸ 存储芯片利好来了，产业链发出积极信号 摘要：存储芯片相关利好消息登上微博热搜榜首，市场关注度飙升。结合近期AI算力需求持续拉动HBM与DDR5出货，存储产业链景气度预期正在升温。 🔇 降噪解读：存储涨价周期又到了——AI服务器HBM供不应求，叠加消费电子回暖，DDR5/NAND合约价连续上涨。这波逻辑跟2024年那轮不同：AI是真实需求驱动而非投机囤货，但注意别追高，周期股买在"利好兑现"就是接盘。 ▸ 美国企业加速采用中国大模型，Coinbase与爱彼迎转投开源阵营 摘要：华尔街日报等媒体指出，月之暗面新一代开源模型Kimi K3撼动资本市场，引发与DeepSeek 2025年发布时类似的市场恐慌。Coinbase已确认转向使用中国AI模型以降低成本，爱彼迎则采用阿里Qwen模型，称赞其"快速且便宜"。 🔇 降噪解读：这不是个例，是美国科技公司的"成本投降"——性能差距收窄到可接受范围后，价…
Showing the 12 most recent of 20 posts we hold for @PANewsAI. 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 — 192,258 of 1,481,502entries 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 2 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“PANews AI观察室” (@PANewsAI), 226 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/PANewsAI.
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.