The most impactful people don't get through with just one specialized skill. They get there by combining skills that rarely show up in the same person. Stacking the kind of judgment that can't be taught in a classroom

Channel
ASeek inno🪐
@anitaloveyouall
On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry
553subscribers
-5 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 | -1003257644275 |
|---|---|
| Type | Channel |
| Username | @anitaloveyouall |
| Created | Between 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/anitaloveyouall |
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 21 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 10:39 | 553 | -4 |
| 9 Sept 2026, 11:15 | 557 | -2 |
| 1 Sept 2026, 01:06 | 559 | +2 |
| 24 Aug 2026, 06:44 | 557 | +2 |
| 16 Aug 2026, 17:36 | 555 | -2 |
| 8 Aug 2026, 14:01 | 557 | -1 |
| 8 Aug 2026, 03:35 | 558 | no change |
| 7 Aug 2026, 18:11 | 558 | first reading |
Engagement
20 posts held, back to 13 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 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 5 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
18 reactions across 16 posts, in 2 distinct kinds. The most used accounts for 94.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 17 | 94.4% | |
| 👍 | 1 | 5.56% |
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 17 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 13 July 2026 to 5 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
虽然最近创始团队融资也是史诗级难度,但是身边凡是大厂出来、00 后名校做自研模型的,基本上都不缺投资人,排着队要投…
A股更像政策、资金和情绪共同驱动的博弈市场,人为因素更重,很多时候交易的是政策预期和增量资金,而不只是企业盈利。AI 的权重并不大。 美股则越来越像“指数即AI”。机构资金通过ETF持续集中到少数科技巨头,英伟达、微软、Meta、谷歌等公司的业绩和资本开支,已经能够直接决定指数方向。 简单说,A股看政策和资金,美股看AI巨头的盈利与估值。
❤1
为什么 Hyrox 那么火而且还那么挣钱? 表面上运动,看清了是生意。2026 年预计全球 180 万人参与,今年 5 月上海站人数破万,参赛费 600-800,观众门票 80-100,黄牛炒到四五百,而且他的商业模式打通了生态闭环 1️⃣排名激发稳定输出,你今天是在上海,你也可以和纽约的选手比赛,直接激活了本就在中国成熟的健身人群 2️⃣社交 现场都是肌肉猛猛的帅哥美女怎么拍怎么都出片,直接小红书等社交媒体发一发,人均百万博主 3️⃣Hyrox 是一家公司也是一个赛事,去年营收 1.3 亿欧元,利润 3000 万欧元,年增速 87%,没有任何需要大额投入的基建,全球随地大小办,收费可以是门票收入加冠名加赞助,真正的大头是即将倒闭的健身房,他们通过授权的方式在自家健身房举办,吸引更多的人群 4️⃣确定性的奖励机制心理 不像工作、谈恋爱,投入不一定有效果,只要你肯付出,健身一定会带来确定性的正回馈 一直以为体育是一个很…
❤1
现在北美的AI公司都不再那么关注 agent,英伟达的GPU算力和 scaling law 也面临着巨大的质疑,是时候关注一下 RSI (Recursive Self-Improvement) 很多人都在讨论:除了 AI Coding,为什么一直没有出现第二个万亿美元应用?于是市场开始推演,AI CapEx 大概会在 2028 年见顶。 这个逻辑可能抓错了变量。 因为 Frontier Lab 根本不是普通的软件公司。OpenAI、Anthropic、Google DeepMind、SSI (Safe Superintelligence Inc.) 竞争的不是谁先做出下一个 Copilot,而是谁先训练出下一代基础模型。 最近 SSI 公告里最值得关注的一句话,不是扩建算力,而是:Our research is worthy of scaling up. 真正的含义是,他们依然相信,继续增加算力,模型能力还能持续提升。…
❤1
越是和同频的人聊天,越是收获。每天只需要花一些时间去向上社交,学习收益就会指数级的上升,社交是一种愉悦的新资产
❤1
做大模型是把更多的能源转化成智能
❤1
最近分别和国产大模型的朋友都吃了顿饭,几个takeaway https://x.com/Anitahityou/status/2080148559845011804?s=20
❤1
大家可以去看看“梁文峰的谈话实录”许多观点都值得反复咀嚼 硅谷在说Scaling到头的时候,那是对硅谷来说;对中国人来讲,我们离那个还很远,我们根本就没有Scaling到那个程度。这个Scaling包括数据的Scaling、模型规模的Scaling,然后训练成本。 V3训练的时候,它用的还是英伟达的卡,但是已经不用英伟达的生态了。V3用英伟达的卡,但是没有用英伟达的生态,而是我们先写一个高级编译器叫TileLang,然后基于TileLang的生态来完成其他所有的事情,就已经几乎不依赖英伟达的生态了。 我对国产算力是比较乐观的。我觉得在这一点上,英伟达是在掘自己的坟墓。华为的超节点,华为的950超节点,在性能和价格上可以完全平替英伟达的GB200、GB300。
❤1👍1
做中转站以后发现这门道挺深,不仅可以直接对接客户,还可以同行间互通有无,合作上下游。 关键是谁的渠道最便宜,就可以无限做上游。 一般来讲大厂 LLM 八五折左右就是走第三方企业通道,如果自己养号池就可以很划算了,分一下满血/残血的不同成本。 还有就是 Seedance 这个品类,谁和你说打到骨折,大概率是对用量有极高要求的,而且还要看资质。
❤1
对于具身现在有两种声音 1 唱多派,不管是 World Model 还是 VLA 都没有被 100% 证实,所以可参与的空间非常大,包括财富机会,没被定义的就是处女地 2 唱衰派,除了华而不实的机械堆砌外没有任何实用性的场景,噱头>实际价值,泡沫很大 你怎么看
❤1
某国内大厂一直想在视频生成模型上干掉 Seedance,但是目前为止都没能打败字节,于是便剑走偏锋,往垂直类的视频模型走,专做类擦边的模型生成,确实把产能提效了。
❤1
Showing the 12 most recent of 20 posts we hold for @anitaloveyouall. 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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“ASeek inno🪐” (@anitaloveyouall), 553 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/anitaloveyouall.
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.