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Channel

婴宁 | Deusyu Blog

@lovedesuyu

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

856subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001185891640
TypeChannel
Username@lovedesuyu
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live12 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 September 2026
On Telegramt.me/lovedesuyu

Topic

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 19 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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

8568608587 August 2026 — 859 subscribers8 August 2026 — 859 subscribers21 August 2026 — 860 subscribers5 September 2026 — 857 subscribers12 September 2026 — 856 subscribers7 August 202612 September 2026
5 measurements spanning 36 days, net -3. 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 855–861 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 12:56856-1
5 Sept 2026, 09:59857-3
21 Aug 2026, 03:42860+1
8 Aug 2026, 01:18859no change
7 Aug 2026, 14:31859first reading

Engagement

20 posts held, back to 23 July 2026the 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 7 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

18 reactions across 11 posts, in 8 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏633.3%
😁316.7%
211.1%
👍211.1%
😈211.1%
👀15.56%
💩15.56%
🙏15.56%

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 11 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 18 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 23 July 2026 to 7 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.

Recent posts

7 Aug 2026, 10:12 UTC63 views2 reactionsread 8 August 2026
Video

做了台仪器:DeepSeek 官网价格一变,梁文锋自动变档。 起因是在 X 上刷到一位老哥手搓的「梁氏滑动变祖器」——拖滑块,手动定档。 他说欢迎大家 vibe 一个自己的版本。 行,我 vibe 了个全自动的: 每小时抓一次 DeepSeek 官网价目表,价格越便宜,祖率越高。 一共四个档位: 梁神 → 梁圣 → 梁凡 → 牢梁 当前读数:71%,梁圣。 这是按现价算的。 另外,DeepSeek 官网昨天挂出了「预计涨幅较大」的涨价预告。 仪器已经检测到了。 指针正在发抖。 (纯属玩梗,头像是卡通的,不是真人照片) 玩具在这: https://bianzu.dyu.sh 你猜涨价落地那天,指针会停在哪一档?

😁2

7 Aug 2026, 03:50 UTC76 viewsread 8 August 2026

其实跟ChatGPT Work/Claude Cowork 没什么不同。 甚至还是吃的别人的尾气。

6 Aug 2026, 08:08 UTC115 views1 reactionsread 8 August 2026

“终身学习”经常被说得太轻巧,好像不断看书、学新框架就是终身学习。 其实真正困难的部分是: 允许今天的自己推翻昨天那个曾经非常确信的自己。

👍1

4 Aug 2026, 10:25 UTC139 views2 reactionsread 8 August 2026

最近,我逐渐体会到了当前顶级 AI 的真实极限。 它对定义明确的原子事实,以及从大量样本中压缩出来的抽象规律,已经具备非常高的正确率和实用性。无论是解释概念、建立框架,还是提供宏观判断,它都非常强。 但局部正确并不等于整体正确。一旦问题要求它把多个跨来源、跨时间、带有隐含前提的事实组合成因果链、历史叙事或可执行流程,可靠性就会明显下降。 尤其是面对互联网中混杂着真实事实、错误关联、选择性证据,以及不同环境下成功案例的问题时,AI 很容易把若干单独成立的事实,拼接成一个语言上自洽、现实中却不成立的结论。 很多人类真正有用的经验,本质上不是一组静态知识,而是一套包含前置条件、状态反馈、异常分支和失败处理的操作系统。互联网文本往往只记录结果或成功路径,AI 再对这些不完整经验进行平均和补全,最终可能得到一个从未真正存在过的方法。 所以,AI 目前更像是一个极强的知识零件库、抽象模型生成器和假设提出者,而不是天然可靠的事实编排

😈2

3 Aug 2026, 07:44 UTC150 viewsread 8 August 2026

看到有人写了一个Surge 开源版: https://github.com/YTwsy/OpenSurge-for-Mac, 发现它还支持vless 协议

31 Jul 2026, 10:55 UTC188 views1 reactionsread 8 August 2026

技术在诗内,境界在诗外; 动作可以直接完成,状态只能间接养成。

💩1

Showing the 12 most recent of 20 posts we hold for @lovedesuyu. 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.

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.

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 12 September 2026 — this entry's latest reading, not the date you are reading this.

“婴宁 | Deusyu Blog” (@lovedesuyu), 856 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/lovedesuyu.

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.