Channel
@SolidotR
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,666subscribers
+209 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002213398778 |
|---|---|
| Type | Channel |
| Username | @SolidotR |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/SolidotR |
Science — 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 17 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 11:56 | 1,666 | +38 |
| 17 Sept 2026, 10:22 | 1,628 | +20 |
| 13 Sept 2026, 02:41 | 1,608 | +9 |
| 9 Sept 2026, 13:19 | 1,599 | +23 |
| 4 Sept 2026, 05:59 | 1,576 | +13 |
| 31 Aug 2026, 19:55 | 1,563 | +16 |
| 28 Aug 2026, 20:55 | 1,547 | +24 |
| 25 Aug 2026, 21:08 | 1,523 | +32 |
| 23 Aug 2026, 06:34 | 1,491 | +20 |
| 16 Aug 2026, 21:58 | 1,471 | +9 |
| 13 Aug 2026, 06:56 | 1,462 | +18 |
| 10 Aug 2026, 00:54 | 1,444 | -12 |
| 7 Aug 2026, 08:23 | 1,456 | -1 |
| 6 Aug 2026, 13:51 | 1,457 | first reading |
20 posts held, back to 4 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 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 6 August 2026. An engagement rate over an empty window would be a number about nothing.
72 reactions across 15 posts, in 16 distinct kinds. The most used accounts for 15.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 11 | 15.3% | |
| 😨 | 9 | 12.5% | |
| 🤣 | 8 | 11.1% | |
| 🤮 | 7 | 9.72% | |
| 😁 | 6 | 8.33% | |
| 👍 | 5 | 6.94% | |
| 🔥 | 5 | 6.94% | |
| 🖕 | 4 | 5.56% | |
| 😱 | 4 | 5.56% | |
| 👎 | 3 | 4.17% | |
| 🤯 | 3 | 4.17% | |
| ❤ | 2 | 2.78% | |
| 🙈 | 2 | 2.78% | |
| 🍾 | 1 | 1.39% | |
| 🐳 | 1 | 1.39% | |
| 🦄 | 1 | 1.39% |
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 15 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 72 reactions 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 4 August 2026 to 6 August 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.
观鸟活动或有助于延缓大脑衰老 #科学 发表在《Journal of Neuroscience》期刊上的一项研究发现，资深观鸟者的大脑结构与普通人之间存在一些差异，或许正是这些差异让他们能更好地识别陌生鸟类。这或许表明，观鸟活动能重塑人的大脑，其作用机制与学习一门语言或一种乐器类似。这类活动或许能增强参与者的认知储备，即提升大脑抵御衰老、适应损伤的能力。 在学习或练习某项技能时，大脑会强化并优化相关神经通路，这种能力被称为“神经可塑性”，是人类发展专业技能的基础。为探究观鸟活动是否同样能重塑大脑，加拿大约克大学的研究人员对 48 名业余观鸟者进行了大脑结构与功能分析。受试者年龄在 22-79 岁之间，两组在性别、年龄和受教育程度上均相当，其中有一半经筛查测试被判定为资深观鸟者，而另一半为新手。 https://www.smithsonianmag.com/smart-news/becoming-an-expert-birder-…
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科学家确认灯架虎耳草是食肉植物 #科学 科学家在青藏高原发现的开花植物灯架虎耳草被确认为一个新的食虫植物谱系，以确凿证据实证存在食肉植物类型，也证实进化论奠基人达尔文 150 多年前提出的植物物种可能具有食肉性的预测。研究结果表明，灯架虎耳草能够吸引、捕获并消化昆虫，并从中吸收氮元素。1875 年达尔文曾推测，作为一类通常生长在高山环境中的被子植物，虎耳草属的某些物种可能具有食肉性，因为它们拥有能够捕获昆虫的粘性腺毛。此前一直缺乏确凿证据来支持这一假说。在本项研究中，研究团队对生长在中国青藏高原-横断山脉高山地区的灯架虎耳草进行全面深入研究，实地观察和现有植物样本的调查显示，在 45 个被调查的标本中，有 43 个的腺毛上附着有昆虫猎物，成熟植株平均共捕获 71 只昆虫(主要附着在这些腺毛上)。随后研究团队通过荧光标记法检测到了磷酸酶活性(一种常见于食虫植物的消化酶)，这表明该植物可能具有消化猎物的能力。接下来，研究团队将标记…
北极气温多次超过 32 摄氏度 #地球 北极多地气温本周多次超过 32 摄氏度。北极圈附近的 Selagoncy 气象站记录到 33.9 摄氏度的高温；另一个气象站 Olenek 的气温也达到了 32.7 摄氏度。气象学家 Alan Gerard 表示，最近几年的研究表明，由于海冰减少的反馈作用，北极升温速度远超地球其它地区，“这是一个危险的反馈循环：随着海冰融化，北极反射的阳光减少，海洋吸收的热量增加。反过来又导致海冰进一步减少。该地区升温速度比世界其它地区快四倍。”今年预计将出现强厄尔尼诺现象，气温上升的趋势短期内不太可能放缓。 https://www.scientificamerican.com/article/its-90-degrees-in-the-arctic-right-now/
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Rust 语言宣布 LLM 政策 #程序 Rust 语言团队宣布了新的 LLM 政策。 除了作者没有人被要求必须阅读 LLM 输出，除非其自愿选择：LLM 输出不允许出现在公开文档、PR 描述或 GitHub 评论中，除非明确标注；审核者如果不愿意，无需查看 LLM 生成的 PR。 没有人必须使用 LLM 为 rust-lang/rust 做贡献：政策必须先为人类编写，仅为机器提供摘要；LLM 审核不能替代人工审核或自审。 你可以生成仅供自己查看的 LLM 内容，无需披露，前提是不会将其发布到任何你期望我们阅读或审核的地方。 你可以用 LLM 回答问题、分析、提炼、完善、检查、提出建议和审核，但不能用来**创造**。 https://blog.rust-lang.org/inside-rust/2026/08/05/rust-langrust-is-adopting-an-llm-policy/
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科学家拍到迄今最清晰的太阳表面图像 #太空 科学家拍摄到迄今为止最清晰的太阳表面图像，展现出比以往所见复杂得多的太阳表层景象，为该层的磁活动区提供了新的见解。研究报告发表于《自然》期刊。太阳的可见表面又称光球，是其大气的一个薄层。等离子体在这里变得透明，使光能够逃逸。已知这一区域动态且复杂，磁场和对流等众多因素塑造了太阳的大气结构。美国国家太阳天文台（NSO）的研究人员利用位于夏威夷的井上太阳望远镜，获取了具有迄今最高空间分辨率的太阳可见表面观测结果。该研究观测了一处靠近太阳黑子的磁活跃区域。在新的高分辨率图像中，太阳表面主要呈现带状和涡旋状结构。研究人员认为，这些特征与开尔文-亥姆霍兹不稳定性有关，后者是一种经典流体动力学现象，当两种流体以不同速度互相掠过时就会形成波浪状结构。这是首次获得证据，表明太阳表面存在这一现象。 https://www.nature.com/articles/s41586-026-10871-3 …
2027 年全年内存产能已全部预定和售罄 #硬件 DigiTimes 报道，受 AI 需求和长期协议的推动，三大内存制造商三星、SK 海力士和美光 2027 年的 DRAM 和 HBM 内存产能已全部售罄。PC、笔记本电脑和智能手机使用的 DRAM 内存供应在 2027 年将更紧张，NAND 闪存的产能也可能在 2026 年 8 月底前被全部预订。这三大内存制造商占据了逾九成的市场份额，它们没有新增供应的计划。AI 对内存的需求远超过供应，内存制造商正与企业签订长期协议以确保长达 5 年的内存供应；情况相当严峻。 https://www.tweaktown.com/news/113004/memory-capacity-for-all-of-2027-has-reportedly-been-booked-and-sold-with-no-more-dram-or-hbm-available/index.html
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Google DeepMind CEO Demis Hassabis 卸任 #Google Google 对其 AI 部门 DeepMind 进行了领导层重组，诺贝尔奖得主、DeepMind CEO Demis Hassabis 卸任，他将担任新设立的首席科学家职位并改任董事长。资深工程师以及 Google Brain 联合创始人 Jeff Dean、Sanjay Ghemawat、Oriol Vinyals 和 Quoc Le 都离开 Google，他们成立了一家公益性 AI 企业 Discovery Loop，专注于机器学习、科学和工程领域的突破性研究。这次人事变动恰逢 Google 最新 Gemini 模型的发布滞后，原计划 6 月发布，但至今仍未发布，引发了 Google 落后于竞争对手 Anthropic 和 OpenAI 的担忧。 https://www.reuters.com/business/google-s…
AI 监督远程考试变成灾难，数万学生必须重考 #教育 从 5 月下旬到 6 月初，近 16 万名考生参加了墨西哥最大大学 UNAM 的入学考试。这是 UNAM 首次采用完全远程考试。结果是一场灾难。考试成绩公布后，高分比例比往年多多了。UNAM 120 道题考试 2021-2025 年间，只有 3.5% 的考生获得 100 分或以上，今年这一比例高达 16.3%；只有 0.9% 的考生获得 110 分或以上，今年这一比例达到了 5.5%。高分激增引发了考试作弊的指控。UNAM 的专家委员会在调查之后认为最佳方案是线下复试。受影响的 58,000 人将需要在监考人员监督下参加复试。 https://arstechnica.com/culture/2026/08/an-ai-supervised-remote-exam-went-so-badly-that-58000-students-must-retake-it/
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微软要求工程师不要最大化 AI Token 使用 #Idle 为了推广 AI 工具，许多企业将 AI 使用率作为绩效考核的一部分。结果就是员工为了绩效致力于最大化 AI 使用，导致企业很快发现 token 费用大幅超出预算。软件巨头微软成为最新一家建议工程师限制使用 AI 的公司。微软执行副总裁 Jay Parikh 在一封发给微软员工的邮件中要求工程师专注于业务成果，而非最大化 AI token 的使用量，为了“从 token 投资中获得更大的价值”，微软将比其它模型更便宜的 OpenAI GPT-5.6 设为内部使用的默认模型。自 2026 年 7 月起，微软各部门将设定“AI token 预算目标”，员工可以追踪各自的 AI 支出。 https://slashdot.org/story/26/08/04/1833219/microsoft-tells-engineers-tokenmaxxing-is-not-what-…
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Waymo CEO 解释为什么光靠摄像头难以实现自动驾驶 #科技 Waymo 联席 CEO Dmitri Dolgov 在 Y Combinator 的 Startup School 发表演讲，解释为什么自动驾驶汽车需要的传感器不能仅限于摄像头。特斯拉汽车只配备了光学摄像头，它的辅助驾驶系统依赖于来自摄像头的数据。Dolgov 解释说，人类仅靠眼睛就能驾驶汽车，如果自动驾驶系统的目标是实现人类水平的驾驶，那么只靠摄像头可能够了，但上限也就是人类水平，而无人驾驶汽车被寄希望有更高的安全标准。相比下，Waymo 的自动驾驶汽车使用了摄像头、激光雷达和雷达三种传感技术。摄像头提供高分辨率和彩色图像，它们是被动传感，在黑暗和强光下性能会下降。激光雷达直接测量世界的三维结构。雷达能穿透雾、雨、雪，利用多普勒效应直接读取速度。激光雷达和雷达都是主动传感器，在漆黑的夜晚或刺眼夕阳下也能清晰探测物体。三种传感器并不是互为冗余，而是组合成一个完…
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美国考虑禁止中国制造的数据中心设备 #USA 美国联邦通信委员会（FCC）正在制定措施禁止进口中国制造的光收发模块。光收发模块让数据在数据中心内以光速通过光纤传输。美国政府官员希望这项措施在年内公布和生效。其目的是防止中国公司窃取数据、植入恶意软件或干扰美国数据中心的服务。FCC 也可能修改或搁置这项进口禁令。美国对中国数据中心设备的禁令可能会冲 中际旭创。中际旭创是全球最大的光收发模块供应商之一。禁令也可能增加亚马逊 AWS 等美国云计算公司的成本，迫使它们转向本国供应商如 Coherent 和 Lumentum。 https://yro.slashdot.org/story/26/08/04/1729250/trump-administration-drafting-ban-on-chinese-data-center-devices
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Telegram 因用户分享 CSAM 材料被苹果短暂下架 #苹果 Telegram 因有用户分享 CSAM（child sexual abuse material）材料而被苹果在全世界短暂下架。苹果发言人证实了此次短暂下架事件，表示苹果的审查发现该应用存在违反禁止 CSAM 材料的内容，“在开发商迅速删除相关内容并封禁发布该内容的用户后，该应用已恢复上架。”Telegram 有逾 10 亿用户，它表示对 CSAM 内容采取零容忍政策，今年已因此封禁了近 33.8 万个群组和频道。英国监管机构 Ofcom 今年四月因类似的原因对 Telegram 展开了调查。Telegram 则坚称它没有 CSAM 问题，称自 2018 年以来已通过检测算法几乎完全杜绝 CSAM 材料的公开传播。 https://www.reuters.com/business/retail-consumer/telegram-says-app-resto…
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Showing the 12 most recent of 20 posts we hold for @SolidotR. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“Solidot 纯净版” (@SolidotR), 1,666 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/SolidotR.
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.