https://b23.tv/BV1zb8E6cE2a
❤2
Signed Jimmy Tian

Channel
@misakatech
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
18,184subscribers
-132 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001077529324 |
|---|---|
| Type | Channel |
| Username | @misakatech |
| Created | 7 November 2016 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/misakatech |
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 10 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, 05:37 | 18,184 | +5 |
| 19 Sept 2026, 11:56 | 18,179 | +12 |
| 17 Sept 2026, 01:39 | 18,167 | -9 |
| 15 Sept 2026, 05:20 | 18,176 | +6 |
| 13 Sept 2026, 17:18 | 18,170 | -8 |
| 11 Sept 2026, 19:39 | 18,178 | -2 |
| 9 Sept 2026, 08:35 | 18,180 | -20 |
| 6 Sept 2026, 02:37 | 18,200 | +4 |
| 4 Sept 2026, 01:20 | 18,196 | +7 |
| 1 Sept 2026, 11:34 | 18,189 | +1 |
| 31 Aug 2026, 10:07 | 18,188 | +2 |
| 30 Aug 2026, 09:14 | 18,186 | -4 |
| 29 Aug 2026, 07:35 | 18,190 | +2 |
| 28 Aug 2026, 10:57 | 18,188 | +6 |
| 26 Aug 2026, 10:02 | 18,182 | -8 |
| 25 Aug 2026, 09:17 | 18,190 | +1 |
| 24 Aug 2026, 12:04 | 18,189 | -6 |
| 22 Aug 2026, 21:16 | 18,195 | -9 |
| 21 Aug 2026, 14:06 | 18,204 | -2 |
| 20 Aug 2026, 15:33 | 18,206 | first reading |
23 posts held, back to 29 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 55 pages 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 23 posts for this entry, the most recent from 27 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
574 reactions across 23 posts, in 10 distinct kinds. The most used accounts for 22.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 131 | 22.8% | |
| ❤ | 127 | 22.1% | |
| 😁 | 119 | 20.7% | |
| 🤩 | 64 | 11.1% | |
| 😱 | 51 | 8.89% | |
| 👎 | 40 | 6.97% | |
| 🎉 | 32 | 5.57% | |
| 😢 | 5 | 0.871% | |
| 👏 | 4 | 0.697% | |
| 🥰 | 1 | 0.174% |
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 23 of the 23 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 574 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 29 September 2025 to 27 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.
https://b23.tv/BV1zb8E6cE2a
❤2
Signed Jimmy Tian
Posted without readable text
😁10❤1
Signed Jimmy Tian
Qwen 3.8 Flash Next 模型正式发布 该模型采用新一代 MoE 架构,参数量级为 125B A6B,Benchmark 分数幅度领先于 Qwen 3.8 27B 与 Qwen 3.7 Flash。 目前已在 HuggingFace 开源模型权重。 https://huggingface.co/Qwen/Qwen3.8-Flash-Next --- 等一个解禁版,利好 128G / 256G 融合内存的设备。
👍6
Signed Jimmy Tian
Filco 键盘的母公司 Diatec 宣布停止运营 Diatac 发布公告,在 2026 年 4 月 22 日,公司正式停止运营。在邮购和客户支持服务中的客户资料均已销毁。 https://www.diatec.co.jp/index.html https://news.ycombinator.com/item?id=47892236
❤7🎉4
Signed Jimmy Tian
观测到淘宝已经开始通过视觉暂留水印进行 AI 对抗了
👍28❤4
Signed Jimmy Tian
苹果向国行设备推送了 Apple Intelligence 更新到 iOS 26.4 后,在设置中即可看到对应的开启选项。 首次开启需要下载对应的模型。 目前来看国行也可以使用 ChatGPT 和 Google Search。尚不确定是 bug 还是 feature。 ——— 目前看起来是 Bug,在今日(2026/03/31)上午苹果撤回了对应的推送。 已经开启的用户暂不受到影响,暂不确定是否会被 Apple 撤回 / 禁用。
👎20❤7
Signed Jimmy Tian
Telegram 在部分聊天中支持中文模糊搜索 在之前,Telegram 只支持中文的前后匹配搜索。 根据测试,部分聊天中现已支持中文分词搜索。 目前暂不确定支持的范围。 ——— *勘误:根据其他用户反馈,可能不是分词,而是向量索引。
😁28❤6👍6
Signed Jimmy Tian
他明明可以直接抢钱的,现在还送咱张卡 😲 #碎碎念
😁38❤10😱3
Signed Jimmy Tian
🎆
🎉27❤4
Signed Jimmy Tian
Cloudflare 现已支持将网站自动转换为 Markdown 用于AI 阅读 在控制台中打开 Markdown for Agents 功能即可让 Cloudflare 自动将你的网站转换成 Markdown 格式方便 AI Agents 读取。 Markdown 格式相比 HTML 可以大幅度减少 Token 的使用,例如在 Cloudflare 本篇内容的博客中节省了约 80% 如果你想试试的话,带上请求头 Accept: text/markdown 即可 curl https://blog.cloudflare.com/markdown-for-agents/ \ -H "Accept: text/markdown" https://blog.cloudflare.com/markdown-for-agents/
🤩16👍10❤6🥰1
Signed Jimmy Tian
Anthropic 使用一群 Opus 4.6 Agent 开发了一个 C 编译器 Anthropic 使用了 16 个并行的 Opus 4.6 模型的 Agent,编写了一个能编译 Linux 内核的 C 编译器。 整体消耗大约 20000 美元 API 成本,产出了大约 100k 行代码。 可以编译 x86、ARM、RISC-V 等架构的 Linux 内核,还测试编译了 QEMU、FFmpeg 等项目。 整体代码使用 Rust 编写,参考 GCC 的实现,汇编器和链接器部分调用 GCC。 Blog: https://www.anthropic.com/engineering/building-c-compiler Github: https://github.com/anthropics/claudes-c-compiler
👍23😱13❤3😁1
Signed Jimmy Tian
麦当劳 MCP 服务开放平台 https://open.mcd.cn/mcp 目前只能领券还不能点餐
🤩40❤4
Signed Jimmy Tian
Showing the 12 most recent of 23 posts we hold for @misakatech. 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.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“科技圈的日常” (@misakatech), 18,184 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/misakatech.
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.