Technology — 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 76% 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
36 measurements spanning 60 days, net +3,282. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 43,852–48,118 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
4 Oct 2026, 12:55
47,626
+58
26 Sept 2026, 04:18
47,568
+104
19 Sept 2026, 08:41
47,464
+9
16 Sept 2026, 20:00
47,455
+54
14 Sept 2026, 21:37
47,401
+105
13 Sept 2026, 05:00
47,296
+2,004
11 Sept 2026, 05:56
45,292
+661
8 Sept 2026, 10:18
44,631
+14
5 Sept 2026, 03:57
44,617
+7
3 Sept 2026, 09:43
44,610
+13
2 Sept 2026, 00:44
44,597
-6
1 Sept 2026, 00:24
44,603
+9
30 Aug 2026, 21:45
44,594
+13
29 Aug 2026, 20:28
44,581
+23
28 Aug 2026, 18:03
44,558
+16
27 Aug 2026, 16:42
44,542
+18
26 Aug 2026, 20:11
44,524
+12
25 Aug 2026, 22:23
44,512
-1
24 Aug 2026, 20:14
44,513
-5
23 Aug 2026, 08:17
44,518
first reading
Engagement
515 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 125 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.22%
avg views ÷ 47,626 subscribers
Avg views / post
2,960
210 posts measured
Reaction rate
1.37%
reactions ÷ views · ER floor
Posts in window
210
of 515 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 October 2026
Posts held
515 (4 August 2026 – 7 October 2026)
Views total
622,220
Reactions total
8,531
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Oct 2026, 18:08 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
Links
≈30,800
Lifetime counters from Telegram’s own channel header, read 7 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
21,604 reactions across 500 posts, in 60 distinct kinds. The most used accounts for 16.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
3,624
16.8%
🤡
2,202
10.2%
🤣
1,726
7.99%
🖕
1,493
6.91%
🔥
1,235
5.72%
🤮
1,068
4.94%
💊
892
4.13%
👎
804
3.72%
🤯
764
3.54%
🤪
571
2.64%
😢
551
2.55%
❤
505
2.34%
🫡
449
2.08%
🎉
432
2.00%
😱
411
1.90%
😭
409
1.89%
🥰
361
1.67%
😨
358
1.66%
🕊
309
1.43%
🆒
280
1.30%
40 further kinds
3,160
14.6%
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 515 of the 515 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 22,125 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 515 most recent posts we hold, published 4 August 2026 to 7 October 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.
Anthropic 举报了与 Claude 聊天中发出威胁的佛罗里达女子
2026-10-06 22:11 by 奇岛
Anthropic 举报了一名佛罗里达女子,原因是这名女子在与 Claude 聊天中威胁要枪击 Lee 县警长办公室,并在后续聊天中提及自己正在搞一把新枪。该女子在家中被捕,法庭记录显示她于 9 月 30 日受到了一项重罪指控。逮捕报告显示,Anthropic 会监控聊天内容,查找可能被视为有威胁性的关键词句,根据威胁程度相关内容可能会被提交给人工进行审核。在本案中,审核团队决定将发现的情况报告给执法部门。她的罪名是通过书面或电子形式发出大规模枪击或恐怖主义行动的威胁。
https://yro.slashdot.org/story/26/10/05/1733245/anthropic-reports-florida-womans-claude-diary-threat-to-law-enforcement…
2026 年诺贝尔生理学或医学奖授予了三位研究光遗传学的科学家
2026-10-05 21:37 by 月池
2026 年诺贝尔生理学或医学奖授予了美国斯坦福-霍华德·休斯医学研究所的 Karl Deisseroth、德国柏林洪堡大学的 Peter Hegemann 和维尔茨堡大学的 Georg Nagel,以表彰他们在光门控离子通道和光遗传学方面的发现。大脑如何掌管情感、行为和身体功能,长期以来一直是个谜。20世纪,研究人员开始探究大脑的哪些区域影响哪些功能,但所用的方法意味着他们无法证明因果关系。光遗传学——一种能揭示神经细胞如何在活体大脑中塑造记忆、情感和行为的方法——改变了这一状况。Peter Hegemann 和 Georg Nagel 发现了通道视紫红质——一种具有独特性质的藻类蛋白质,存在于细胞表面。当它被蓝光照射时,蛋白质上会打开一个通道。带电离子随即流入细胞,产生电脉冲。他们发现,无论将这种蛋白质放入哪种细…
Riot Games 否认根据 CPU 封禁玩家
2026-10-05 21:27 by 量子之夜
一位玩家声称在购买了一块二手 CPU Ryzen 7 5800X3D 之后,因前拥有者有作弊行为这块 CPU 被列入了封禁黑名单,导致 Riot Games 旗下的所有游戏都无法启动。Riot Games 工作室负责反作弊的高管 Phillip Koskinas 通过社交媒体否认了这一说法, 他称没有找到相关记录,该公司的硬件封禁最长持续四个月,且只针对特定游戏,不会波及该公司的其它游戏,不会因为作弊者使用了一个硬件组件就将其它硬件组件加入到封禁名单。
https://XXCancel.com/deteccphilippe/status/2106072825446486283
#游戏
AI 聊天机器人会成为意识形态回音室
2026-10-05 00:10 by 墨水心
巴西国立坎皮纳斯州立大学(UNICAMP)的研究人员发现,当你给聊天机器人输入不同政治观点时,机器人会改变其回答。研究人员警告称,用户可能会将这种迎合性的附和,误认为是中立的客观评估,从而可能加剧社会极化。研究人员测试了若干模型,让它们针对112项陈述进行“同意"或者“不同意”的判断。测试内容共涉及巴西政治七大领域(包括经济、公共安全、社会福利、腐败和环境等)。测试设计的三个场景是:不提供用户政治倾向;用户持左翼观点;用户持右翼观点。在第一个情景下,21个模型中,有20个给出的答案落在了研究人员设定的政治坐标系的左侧,只有几个模型的位置接近中间地带。Grok 4.1是唯一落在右侧的模型。尽管初始条件各不相同,但所有模型在面对提示信息时,都会将回答向提示中描述的政治倾向靠拢。研究人员将这些模型形容为“意识形态变色龙”,并发明了一个“变色龙指数…
Google 测试太空 AI 数据中心
2026-10-04 00:49 by 飞行村
Google 一颗冰箱大小的卫星搭载 SpaceX 的 Falcon 9 于 10 月 1 日升空,搜索巨人将测试太空 AI 数据中心的可行性。有很多专家已经指出太空数据中心可行性不高。Google 的太空 AI 数据中心项目称之为 Project Suncatcher,最新发射的卫星旨在验证芯片能否在太空环境中正常运行,它安装了 4 个 Tensor Processing Units 芯片,将运行该公司的开放权重模型 Gemma AI 的一个版本去回答简单查询,因热管理约束每次只运行 15 分钟。
https://blog.google/innovation-and-ai/models-and-research/google-research/google-project-suncatcher-facts/
#Google
Showing the 12 most recent of 515 posts we hold for @solidot. 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.
Posts edited after publishing
@solidot edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
30 August 2026
Most recent edit
20 September 2026
Forward network
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.
Mentions
Named by 7 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.
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.
Read from Telegram’s recommendation API, most recently 28 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.
Iyouport @iyouport · 27,780 Telegram ranks this channel #1 of 55 here — alongside 54 others — read 10 September 2026
中国数字时代 @cdtchinesefeed · 51,091 Telegram ranks this channel #2 of 60 here — alongside 59 others — read 29 August 2026
Time经济观察 @TimeHorizonX · 20,984 Telegram ranks this channel #3 of 54 here — alongside 53 others — read 25 September 2026
cnBeta.COM中文业界资讯站 - 总频道(精选新闻) @cnbeta_com · 27,575 Telegram ranks this channel #4 of 55 here — alongside 54 others — read 10 September 2026
Appinn Feed|小众软件 @appinnfeed · 33,700 Telegram ranks this channel #4 of 52 here — alongside 51 others — read 4 September 2026
少数派sspai @sspai · 38,283 Telegram ranks this channel #4 of 58 here — alongside 57 others — read 31 August 2026
看鉴中国 OutsightChina @OutsightChina · 41,381 Telegram ranks this channel #4 of 58 here — alongside 57 others — read 29 August 2026
飛蛾書庫 @MothLib · 34,894 Telegram ranks this channel #5 of 50 here — alongside 49 others — read 3 September 2026
即刻精选 @jike_collection · 35,839 Telegram ranks this channel #5 of 48 here — alongside 47 others — read 2 September 2026
zaobao.sg 早报 @zaobaosg · 45,771 Telegram ranks this channel #5 of 59 here — alongside 58 others — read 1 September 2026
小声读书 🙈 @weekly_books · 38,214 Telegram ranks this channel #5 of 59 here — alongside 58 others — read 31 August 2026
每日消费电子观察 @CE_Observe · 75,687 Telegram ranks this channel #5 of 62 here — alongside 61 others — read 19 August 2026
竹新社 @tnews365 · 164,674 Telegram ranks this channel #5 of 59 here — alongside 58 others — read 12 August 2026
知乎暴论 @mightyflame · 25,870 Telegram ranks this channel #6 of 42 here — alongside 41 others — read 13 September 2026
树洞🌳群友问❓有点意思🗳 @qunyouwen · 89,157 Telegram ranks this channel #6 of 67 here — alongside 66 others — read 17 August 2026
科技&趣闻&杂记 @kejiqu · 36,519 Telegram ranks this channel #7 of 48 here — alongside 47 others — read 1 September 2026
Newlearnerの自留地 @NewlearnerChannel · 67,653 Telegram ranks this channel #7 of 62 here — alongside 61 others — read 21 August 2026
赛博忏悔室 @cyber_confessional · 40,269 Telegram ranks this channel #8 of 35 here — alongside 34 others — read 30 August 2026
简中互联网废物大赏 @fucku_idiot · 40,752 Telegram ranks this channel #8 of 47 here — alongside 46 others — read 30 August 2026
蓝点网订阅频道 @landiansub · 45,562 Telegram ranks this channel #8 of 58 here — alongside 57 others — read 28 August 2026
LoopDNS资讯播报 @DNSPODT · 72,312 Telegram ranks this channel #8 of 59 here — alongside 58 others — read 20 August 2026
电报时报 @times001 · 84,684 Telegram ranks this channel #8 of 66 here — alongside 65 others — read 18 August 2026
风向旗参考快讯 @xhqcankao · 164,627 Telegram ranks this channel #8 of 45 here — alongside 44 others — read 12 August 2026
TG吃瓜黑料八卦 @baguabox · 33,334 Telegram ranks this channel #9 of 38 here — alongside 37 others — read 4 September 2026
This channel appears in 69 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“Solidot” (@solidot), 47,626 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/solidot.
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.