deepseek-ai/DeepSeek-V4-Flash-0731 bs=1 单请求的 decode thoughput, 在 B200 1x8 单节点 上可以达到 781.3 tokens/s/user 在 H200 1x8 单节点 上可以达到 566 tokens/s/user 这是什么概念呢?地球上 99% 的在过去两年做总参数 7B 或 A3B MOE 后训练微调的专家模型,从此不再有意义。 Source: SGLang Cookbook

Channel
QIN2DIM's Tech Channel
@qin2dim
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
374subscribers
+0 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 | -1001735561710 |
|---|---|
| Type | Channel |
| Username | @qin2dim |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/qin2dim |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 06:18 | 374 | no change |
| 7 Aug 2026, 16:06 | 374 | first reading |
Engagement
11 posts held, back to 18 June 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 · 30 days
- 37.9%
- avg views ÷ 374 subscribers
- Avg views / post
- 142
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- of 11 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.
| Window | Rolling 30 days · latest post in window 1 August 2026 |
|---|---|
| Posts held | 11 (18 June 2026 – 1 August 2026) |
| Views total | 851 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 06:18 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
- Photos
- ≈1,050
- Videos
- ≈95
- Links
- ≈1,240
Lifetime counters from Telegram’s own channel header, read 8 August 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.
Recent posts
🤖 Anthropic 称 AI 发现 NIST 后量子候选算法 HAWK 严重弱点 Anthropic 于昨日发布研究称,其 Claude Mythos Preview 模型在约 60 小时内发现了 NIST 后量子密码候选算法 HAWK 的严重弱点,而人类专家此前两年未能发现。该攻击将 HAWK-256 的有效密钥强度减半,从 2^64 降至 2^38,发现过程耗费约 10 万美元 API 费用。Anthropic 强调,攻击不运行在多项式时间内,更大密钥仍难以破解,HAWK 也尚未被公开撤回。 研究还包含对七轮 AES-128 的改进攻击,但完整 AES-128 为 10 轮,不影响实际生产系统。根据 2026 年 6 月白宫行政令,联邦机构须在 2030 年底前迁移至抗量子密钥体系、2031 年底前完成数字签名迁移。Anthropic 指出,AI 已成为密码学审查中速度更快的新参与者,但核心教训是应使用现有标准并保持…
https://huggingface.co/moonshotai/Kimi-K3/discussions
商务部发布文件阐明所谓“产能过剩”问题中方立场 商务部 7 月 28 日发布《关于所谓“产能过剩”问题的中方立场》,中文版 1 万余字并同步发布英文版,共分四章,回应有关国家炒作中国“产能过剩”、加码对华限制的做法。 文件指出,产业补贴与产能过剩无必然联系,出口多、顺差大不等于产能过剩,“中国内需不足导致产能过剩”不符合事实;中国产业发展靠创新驱动和深化改革,对世界不是“中国冲击 2.0”而是“中国机遇 2.0”。文件强调保护主义只会扰乱全球经贸秩序,倡议各方坚持互利共赢、扩大市场开放、坚持多边主义,共同构建开放包容的全球产供链合作格局。 新华网 | 文件正文 🌸 在花频道 · 茶馆水群 · 投稿通道
黑客松现状,codex宕机就下班
https://platform.kimi.com/docs/guide/kimi-k3-quickstart
谷歌Gemini 3.5 Pro模型发布或将推迟 据多方知情人士及网络爆料,谷歌旗下新一代大语言模型Gemini 3.5 Pro的发布时间已由原定的6月推迟至本月末或下个月。消息称,由于最新测试的内部版本(Rev25)在代码性能和控制知识库幻觉方面表现未达预期,甚至在某些关键指标上逊于此前的Rev24旧版本,谷歌已决定延长该模型的优化和打磨周期。 此次推迟主要旨在进一步完善模型。目前,谷歌正基于早期测试用户的反馈,对Gemini 3.5 Pro在复杂长文本处理和智能体工作流等领域的表现进行深入调优,以确保最终推出更具竞争力的产品。 来源:Startup Fortune
我透,cloudflare 打开之后首页是个对话框现在 https://dash.cloudflare.com/
《置身团内》前美团到餐产品发文 一位曾任职美团到餐业务的基层产品经理在社交媒体发文,指出美团存在三大组织问题:产品岗位沦为传话筒,员工被要求猜测上级意图而非独立判断;坐拥海量本地生活交易数据,但业务决策仍依赖人肉和经验,未能形成有效数据资产;AI 项目被包装成万能药,实际只是用模型替代人肉填坑,没有重新定义问题。作者认为,美团早期靠极致的执行力和成本控制赢得百团大战,但如今业务方向不再确定,路径依赖正成为创新障碍。 🌸 在花频道 · 英文频道 · 投稿通道
《侠盗猎车手 VI》的预购将于 6 月 25 日在各大数字平台及其他指定零售商正式开启。 X 🌸 在花频道 · 英文频道 · 投稿通道
Photo, posted without a caption
Showing the 11 most recent of 11 posts we hold for @qin2dim. 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
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.
Mentions
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“QIN2DIM's Tech Channel” (@qin2dim), 374 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/qin2dim.
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.