#share 【对话盛颖:xAI,Infra的浪漫,SGLang,开源,平权与“甄嬛传”【101视频播客】-哔哩哔哩】 https://b23.tv/GjUUOu0
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Channel
@fming_weekly
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,350subscribers
+36 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001318420612 |
|---|---|
| Type | Channel |
| Username | @fming_weekly |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/fming_weekly |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 02:18 | 1,350 | -1 |
| 10 Aug 2026, 04:32 | 1,351 | +37 |
| 6 Aug 2026, 22:08 | 1,314 | no change |
| 6 Aug 2026, 12:48 | 1,314 | first reading |
19 posts held, back to 10 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. It is computed over the 9 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 19 (10 July 2026 – 4 August 2026) |
| Views total | 12,877 |
| Reactions total | 30 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 12:48 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.
41 reactions across 12 posts, in 8 distinct kinds. The most used accounts for 36.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 15 | 36.6% | |
| 🔥 | 9 | 22.0% | |
| 😁 | 4 | 9.76% | |
| 🤯 | 4 | 9.76% | |
| 👍 | 3 | 7.32% | |
| 😱 | 3 | 7.32% | |
| 🤩 | 2 | 4.88% | |
| 👎 | 1 | 2.44% |
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 12 of the 19 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 41reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 10 July 2026 to 4 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.
#share 【对话盛颖:xAI,Infra的浪漫,SGLang,开源,平权与“甄嬛传”【101视频播客】-哔哩哔哩】 https://b23.tv/GjUUOu0
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一百年后看,一点也不过时
看到这条信息,顺着链接点进去随便点点,重读完整的《祝福》,和当时课本读到的感受可谓是截然不同,现在是完全理解了各个人物的境地,读的也是有点睡不着了,写的真好
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nowledge mem应该被更多人知道 https://x.com/wey_gu/article/2083118261601005612
😁4
朋友打网约车遇到的,扫码进去发现设计的超级好,一个有趣的灵魂,一段旅程。
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我决定读《鲁迅全集》,就像读一个网友的博客一样。 我从高中起就开始在作文里模仿鲁迅的文风,可以说鲁迅是我的写作导师。 https://www.marxists.org/chinese/reference-books/luxun/08/002.htm
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好家伙 https://fixupx.com/OmniTools_AI/status/2080134663881019513
最后一句话给我干破防了,泪流满面的
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经典重温,开弹幕看 --- 【【痛多一次】4K60帧 HKT 错错错 越南版 牙套妹,奈何美色-哔哩哔哩】 https://b23.tv/bs7fVvj
周星驰电影里第二喜欢的,它不仅不那么喜剧,还是个非常好的爱情故事。总体来说93年以后他的电影完成度都是越来越高,所以不要再说美人鱼后面这几部好了,功夫足球连个故事都不完整。 ------------ 【李香琴为什么爱上凌凌漆?杀猪刀中藏着哪些秘密?万字解读《国产凌凌漆》!-哔哩哔哩】 https://b23.tv/OKyaiEX
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啊这
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发布了 bub 的 0.4.0 - 新增了针对 llm call 和 tool call 的一组 before / after hooks - 我们在 any-llm-sdk 上重构了 agent loop ,不再依赖自己组织的 republic 库 - 支持了 per-session 的模型切换 这一轮改动比较大,虽然主要是重构,但是有一些模块和 export 的 re-org ,可能需要大家更新时对插件做适度调整适配。 刚刚发布可能会有一些 bug ,欢迎提交 issue 反馈 https://x.com/i/status/2077993323852390904
Showing the 12 most recent of 19 posts we hold for @fming_weekly. 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 — 161,982 of 1,183,361entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Frost's Notes” (@fming_weekly), 1,350 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/fming_weekly.
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.