H3-World 开源:用 0.199% 可训练参数让 MiniMax-H3 按方向生成世界 腾讯、NUS 与香港理工大学团队公开 H3-World 论文、定向注意力补丁、推理代码和 LoRA 权重。项目把 MiniMax-H3 33B 视频生成模型改造成可接收前进、后退、左转、右转等控制指令的短时交互式世界模型,而不是重新训练整套基座。 团队从约 8000 段游戏视频构建训练集,其中 7872 段用于训练、128 段留出评估;每段包含 124 帧,按 24fps、832×480 处理。训练运行 10000 步,只更新约 0.199% 参数;定向注意力把相邻时间块的视觉状态与动作条件连接起来,使生成结果随控制信号改变运动方向。 论文的光流诊断显示,在左右转组合控制中,冻结基座的水平流变化接近零,H3-World 则分别达到约 +52.7 与 -106;这用于说明控制方向能反映到视频运动中。公开 LoRA 文件约 131 M…

Channel
AI一线|ShareCentre
@ShareCentre
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
15,755subscribers
+279 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001421716094 |
|---|---|
| Type | Channel |
| Username | @ShareCentre |
| Created | 25 October 2020 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/ShareCentre |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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 |
|---|---|---|
| 18 Sept 2026, 22:59 | 15,755 | +13 |
| 16 Sept 2026, 17:21 | 15,742 | +15 |
| 14 Sept 2026, 19:15 | 15,727 | +29 |
| 13 Sept 2026, 02:22 | 15,698 | +8 |
| 11 Sept 2026, 05:59 | 15,690 | +13 |
| 8 Sept 2026, 09:19 | 15,677 | +9 |
| 5 Sept 2026, 04:20 | 15,668 | +9 |
| 3 Sept 2026, 09:55 | 15,659 | +15 |
| 2 Sept 2026, 04:03 | 15,644 | -2 |
| 1 Sept 2026, 00:39 | 15,646 | +15 |
| 30 Aug 2026, 22:22 | 15,631 | +21 |
| 30 Aug 2026, 00:07 | 15,610 | +13 |
| 28 Aug 2026, 22:14 | 15,597 | +10 |
| 27 Aug 2026, 21:38 | 15,587 | +8 |
| 26 Aug 2026, 23:04 | 15,579 | +4 |
| 26 Aug 2026, 01:47 | 15,575 | +8 |
| 25 Aug 2026, 03:14 | 15,567 | +9 |
| 23 Aug 2026, 18:07 | 15,558 | +10 |
| 22 Aug 2026, 00:24 | 15,548 | +3 |
| 20 Aug 2026, 18:35 | 15,545 | first reading |
Engagement
134 posts held, back to 1 August 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 54 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.64%
- avg views ÷ 15,755 subscribers
- Avg views / post
- 574
- 59 posts measured
- Reaction rate
- 0.177%
- reactions ÷ views · ER floor
- Posts in window
- 61
- of 134 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. It is computed over the 18 of 59 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 134 (1 August 2026 – 2 September 2026) |
| Views total | 33,868 |
| Reactions total | 20 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:20 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
- Video runtime
- 1m 11s
- Average length
- 24s
Measured directly from 3 videos 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.
Reaction mix
45 reactions across 30 posts, in 4 distinct kinds. The most used accounts for 68.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 31 | 68.9% | |
| 👍 | 8 | 17.8% | |
| 🐳 | 5 | 11.1% | |
| 😁 | 1 | 2.22% |
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 37 of the 134 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 45 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 134 most recent posts we hold, published 1 August 2026 to 2 September 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
比特冲刺 DASHBIT|¥5/月 100GB 🆕首单7折优惠码: dashbit ,100GB 年付仅3️⃣9️⃣元 📱支持流媒体和AI解锁,另有每月1T免费流量的公益节点🤖 🚀“还在担心机场踩雷还不能退款?选择比特冲刺,注册即送48小时免费试用!速度稳定性一试便知” 🚀 购买地址: https://web.dashbit.top 机场频道: https://t.me/dashbitTel 机场群组: https://t.me/dashbitWWW
Google 为 Gemini 上线智能体视频理解:动态选段而非固定抽帧 Google 9 月 1 日为 Gemini 3.7 Flash、3.6 Flash 与 3.5 Flash-Lite 上线智能体视频理解。传统默认流程以每秒一帧扫描整段视频;新模式会先分析问题,再主动搜索相关片段,并按内容调整帧率与分辨率,同时结合画面、音频和转录完成回答。 开发者可在 Gemini API 的视频输入中把 processing 设为 agentic,并在响应里查看模型搜索过的片段与处理步骤。功能当天已进入 Gemini API、Google AI Studio 和 Gemini Enterprise Agent Platform,支持上传视频与公开 YouTube 视频;它沿用所选 Gemini 模型的标准 Token 价格,不另收功能费。 Google 在所选视频基准上报告,这种动态处理最高减少 88% 的 Token、降低 6…
Anthropic 发布 Claude Fable 5.1 与 Mythos 5.1:同权重、分级防护 Anthropic 正式发布 Claude Fable 5.1 与 Claude Mythos 5.1。两者使用同一组底层权重,但采用不同安全防护:Fable 5.1 已面向 Claude、API 与主要云平台普遍开放;Mythos 5.1 仅向经审核的美国网络防御和生命科学机构提供可信访问。 Fable 5.1 提供 100 万 token 上下文和 12.8 万 token 最大输出,支持文本与图像输入,adaptive thinking 始终开启。API 模型 ID 为 claude-fable-5-1;受限的 Mythos 对应 claude-mythos-5-1。 基础价格仍为每百万输入 10 美元、输出 50 美元;缓存读取从上一代每百万 1 美元降至 0.25 美元。Anthropic 所称典型节省 25%…
Google Pics 开始正式推送:AI 图像生成编辑进入 Workspace 桌面端 Google 开始向指定付费计划正式推送 Google Pics。该独立 Workspace 桌面应用使用 Nano Banana 生成和编辑图片:用户可从提示词或参考图创建多个版本,选中单个对象做局部变换,编辑、重排或翻译图片中的文字,并按网页、社交、印刷等场景裁切和放大到 2K 或 4K。 Pics 支持从电脑、Drive 或 Google Photos 导入 JPG、PNG、BMP 与 TIFF,并提供版本历史、链接分享和协作编辑。功能同时进入 Docs 与 Slides;Google 计划在未来数周增加从 Drive 对多数图片进行一键编辑的入口。 此次开放覆盖 Business Standard/Plus、Enterprise Standard/Plus、Google AI Pro/Ultra、Google AI Pro f…
比特冲刺 DASHBIT|¥5/月 100GB 🆕首单7折优惠码: dashbit ,100GB 年付仅3️⃣9️⃣元 📱支持流媒体和AI解锁,另有每月1T免费流量的公益节点🤖 🚀“还在担心机场踩雷还不能退款?选择比特冲刺,注册即送48小时免费试用!速度稳定性一试便知” 🚀 购买地址: https://web.dashbit.top 机场频道: https://t.me/dashbitTel 机场群组: https://t.me/dashbitWWW
Light Origins 开源 LightNav-0:一个检查点覆盖多类具身导航 Light Origins 发布 LightNav-0,并公开约 5B 参数、9.7GB 的 BF16 权重及 Apache-2.0 代码。模型以 Qwen3-VL-4B-Instruct 为底座,用一套统一接口处理指令导航、开放词汇目标导航和视觉目标跟踪,不需要为每个任务分别训练专用策略。 LightNav-0 把空间决策拆成两条输出通道:图像坐标用于指出目标或可通行位置,残差向量量化 token 则连续编码机器人动作。公开代码包含推理与服务、Habitat 和 EVT-Bench 评测入口、MuJoCo 示例及 ROS2 部署组件;权重还附带处理器和动作解码资产。 作者称,同一检查点在十个公开仿真设置取得最强单目成功率,包括 R2R 68.5%、RxR 73.6%、HM3D-v2 ObjectNav 79.5%、OVON unseen …
Anthropic 警告部分 Claude 用户:信息窃取木马劫持登录会话 Anthropic 已向部分受影响用户发送定向安全邮件,称攻击者正从感染了常见信息窃取木马的电脑中盗取现有 Claude 登录会话,再利用这些会话进入账户并消耗用户额度。邮件副本显示,这类木马会收集浏览器密码、登录 Cookie 和其他本地凭证;被点名的家族包括 Windows 上的 Vidar、LummaC2、StealC、RedLine、Acreed,以及少量 macOS 设备上的 Atomic Stealer。 公司对识别出的账户撤销了现有会话、移除保存的支付方式,并表示将退还其确认的未授权费用;原有订阅仍可继续使用。Anthropic 同时提醒,退出 Claude 只能阻止被盗会话继续使用,不能清除终端上的木马,用户仍需检查设备、修改相关密码并撤销其他服务的可疑会话。 现有材料把事件归因于用户终端上的通用木马,而不是 Claude 安装包或…
😁1
Apple 提交新取证材料,称前员工用其电路文件运行 AI 辅助仿真 Apple 在其起诉前员工 Chang Liu 的联邦案件中申请补充陈述,并提交一组新取证材料。Apple 称,Liu 律师安排取证机构交还的一台 MacBook 中存在 Apple 的电源转换器电路文件;该设备在 Liu 任职 OpenAI 期间创建了用户资料并运行过相关 LTspice 仿真。 Apple 的取证专家在宣誓声明中称,设备镜像显示仿真于 3 月 18 日运行,相关文件源自一台名为“Mac Mini”的电脑。Apple 还援引设备中的消息记录,主张一个 AI agent“学会了如何运行”该仿真,并据此认为相关材料可能被用于 AI 辅助的电路设计工作。 这组文件针对的是 Apple 在 Apple Inc. v. Liu 案中的商业秘密主张。公开补充陈述没有识别 AI agent、模型、供应商或提示记录,也没有声称 OpenAI 训练了一个…
Runway 发布 Solaris:用世界模型实时生成可交互界面 Runway 发布研究预览 Solaris,并称其为首个“界面世界模型”。与先生成静态设计稿、再由工程团队编码实现的流程不同,Solaris 直接把界面视为随用户操作持续变化的视觉世界:用户点击、拖拽或输入文字后,系统逐帧生成下一状态,让原型本身可以即时响应。 该系统以 Runway 的 Gen-4.5 为基础。语言模型负责理解当前界面、用户意图与应用逻辑,世界模型则渲染 720p 的下一帧;每次交互都会成为新的条件输入。因此,同一模型既能处理工具栏、画布和数据面板,也能生成更具空间感的探索环境,而不依赖预先写好的组件树或状态转换。 Runway 公布的一项内部用户研究覆盖约 250 名参与者、30 个交互示例和近 7500 次两两判断。与传统编码界面对比,参与者在指令跟随测试中有 61% 选择 Solaris、24% 选择编码版本;自然行为测试中相应比例为…
OpenAI 称 ChatGPT 广告业务年化收入运行率达到 10 亿美元 OpenAI 宣布,ChatGPT Ads 推出不足 200 天后,广告业务的年化收入运行率已达到 10 亿美元,使用该平台的广告主达到数万家。这里的运行率是按当前业务节奏折算的年度规模。公司表示,中小企业已经成为广告业务的重要组成部分,自助 Ads Manager 降低了创建和管理广告活动的门槛。 官方产品页显示,广告主可在 Ads Manager 中创建账户和广告活动,批量录入广告,完成投放、衡量与优化。OpenAI 还宣布从 8 月 31 日稍晚开始,把自助购买入口扩展至印度、欧洲、中东和北非;公司把这一扩区描述为从早期试点走向全球平台的下一步。 这项进展给 ChatGPT 增加了订阅和 API 之外的商业化路径。10 亿美元年化运行率是在不足七个月内形成的阶段性指标,也显示广告产品已从有限试点扩大到较大数量的直接客户。区域扩张侧重自助购买,…
❤1
欧盟将 ChatGPT、Reddit 和 Roblox 纳入 DSA 最严格监管层级 欧盟委员会依据《数字服务法》(DSA),把 ChatGPT 指定为“超大型在线搜索引擎”(VLOSE),同时把 Reddit 与 Roblox 指定为“超大型在线平台”(VLOP)。官方登记表列出的欧盟月活跃用户分别为 1.591 亿、5720 万和 4660 万,均超过 4500 万人的法定门槛。 指定生效后,三项服务要在收到通知四个月内履行额外义务。核心要求包括识别、评估并缓解系统性风险,覆盖非法内容传播、未成年人保护、身心健康、基本权利、选举过程和公共安全等领域;平台还要接受独立审计,提高广告与推荐系统透明度,并向研究人员开放合规数据。 欧盟委员会将直接监督这些额外义务,国家层面的数字服务协调机构继续负责一般 DSA 条款。ChatGPT 被按搜索型服务纳入 VLOSE,意味着生成式 AI 的信息检索与回答分发也进入欧盟最高等级的平…
Showing the 12 most recent of 134 posts we hold for @ShareCentre. 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.
Posts edited after publishing
@ShareCentre edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 2 September 2026
- Most recent edit
- 2 September 2026
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.
Mentions
Named by 8 registered channels — 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.
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.
Handles this channel named that no longer answer
- Dead references
- 3
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 3
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@ShareCentre named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 3 posts, 30 August 2026 – 31 August 2026 · confirmed gone 14 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 2 posts, 8 August 2026 – 9 August 2026 · confirmed gone 27 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 2 posts, 8 August 2026 – 9 August 2026 · confirmed gone 20 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Appears in Telegram’s recommendations for other channels
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.
@FreeVPN8 · 44,030
Telegram ranks this channel #24 of 30 here — alongside 29 others — read 30 August 2026
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“AI一线|ShareCentre” (@ShareCentre), 15,755 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ShareCentre.
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.