#运维通知 因算力问题,服务暂停调整
🍾1

Channel
@bardos_news
On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry
262subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002039227596 |
|---|---|
| Type | Channel |
| Username | @bardos_news |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 2 times, most recently 15 September 2026 |
| On Telegram | t.me/bardos_news |
National news — 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 23 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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 |
|---|---|---|
| 7 Sept 2026, 21:37 | 262 | +1 |
| 30 Aug 2026, 19:45 | 261 | -2 |
| 15 Aug 2026, 04:55 | 263 | -1 |
| 8 Aug 2026, 09:03 | 264 | no change |
| 7 Aug 2026, 14:38 | 264 | first reading |
20 posts held, back to 24 March 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 24 March 2026. An engagement rate over an empty window would be a number about nothing.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🍾 | 1 | 100.0% |
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 1 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 1 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 24 March 2026 to 24 March 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.
#运维通知 因算力问题,服务暂停调整
🍾1
#要闻推送 #联合早报 陆委会咨委:大陆将台海“内水化”企图影响台地方选举 台湾陆委会咨询委员指出,中国大陆通过常态化执法将台海“内水化”,意图强化对台管辖权,可能加剧对台“灰带”侵扰,影响台湾地方选举;同时,大陆“两会”政策呈现保守防御基调,强调政治安全、军队忠诚与新质生产力发展,对台坚持“反独促统”与同等待遇,法制化手段趋严,对台施压持续。
#要闻推送 #36氪 国家数据局局长刘烈宏:将梯次培育数字产业集群,培育壮大数字经济创新型企业 国家数据局局长刘烈宏表示,2025年数字经济核心产业增加值占GDP比重将达10.5%以上,2026年将梯次培育数字产业集群,支持创新型企业,推进城市全域数字化转型,推动数字经济高质量发展。
#要闻推送 #虎嗅网 迟到的审判:美国经济为何难逃衰退宿命 特朗普48小时“最后通牒”突变,暴露美国经济深层脆弱:地缘冲突引爆全球市场动荡,高油价叠加消费韧性下降、页岩油缓冲机制消失,叠加美债利差倒挂持续超一年,显示衰退风险已逼近。虽AI投资与财政余温暂时延缓,但超额储蓄耗尽、债务高企、油价冲击逼近临界点,正使美国经济从“延迟审判”走向真实衰退。历史铁律未失效,风暴将至,全球资产配置逻辑或将重构。
#要闻推送 #虎嗅网 马拉比:从DeepMind 到华为,还原真实的AI 之路 塞巴斯蒂安·马拉比通过三年深度调研与百余位人物访谈,撰成官方授权传记《哈萨比斯:谷歌AI之脑》,还原DeepMind从科研起步到推动AI革命的真实路径。他揭示了德米斯·哈萨比斯作为天才科学家与创业者的内在驱动力——源于童年竞争意识、多元文化背景及对AI的救世情怀。书中对比DeepMind与OpenAI的战略差异:前者重科学突破,后者重工程落地,而中国在应用与工业AI领域正快速领先。马拉比在华为、海康威视等企业访问中,见证中国科技的深度与卓越,反思美国对华技术遏制的局限性,并呼吁中美共建AI全球治理框架,以应对技术风险与地缘挑战。
#要闻推送 #联合早报 亲绿台媒:马英九掌握有人利用马办名义在大陆“做一些事” 马英九基金会人事风波持续发酵,亲绿媒体《镜周刊》爆料称马英九掌握有人以“马办”名义在大陆活动,令其深感不妥,遂授权金溥聪、高华柱处理人事调整。前执行长萧旭岑回应称遭匿名抹黑,但强调维护马英九与两岸交流,并将捍卫自身清白;新任执行长戴遐龄则称已委律师调查财务争议,将依法追究不实指控。国民党主席郑丽文暗示风波源自党内“始作俑者”,力挺萧旭岑,事件凸显蓝营内部 tensions 与两岸议题敏感性。
#要闻推送 #联合早报 特朗普在盟友和波斯湾国家告诫后急转弯 在盟友及波斯湾国家警告轰炸伊朗发电厂将引发灾难性后果后,特朗普推迟五天下达对伊朗的最后通牒。此举旨在安抚市场,同时多国领导人介入斡旋,包括巴基斯坦居中协调,英国、以色列等也与美方沟通,特朗普称愿以协议实现战争目标并捍卫自身利益。
#要闻推送 #虎嗅网 Karpathy从什么时候变成“神经病”的 Karpathy从一位理性科普的技术专家,转型为高调造词、情绪化输出的AI“营销号”。他通过“vibe coding”“Claw”等概念引爆舆论,将个人体验包装为行业趋势,借FOMO情绪持续制造热点。其转变源于脱离大厂束缚后,从技术表达转向流量策略,利用“神经病”“失控”等夸张标签收割注意力,精准操控公众焦虑。而真正“精神病”的,或许是这个人人追逐AI风口、随时为一句推文癫狂的时代。
#要闻推送 #虎嗅网 当Token变成劳动力,人就变成了接口 当Token成为核心生产力,人退化为连接AI代理的接口。NVIDIA、麦肯锡等企业已将Token预算作为薪酬核心,决定员工产出与价值。AI代理的消耗量成为公司估值、竞争力与人才流动的关键指标。然而,这种依赖外部供给的“算力资本主义”带来巨大风险:一旦消耗增速放缓,6000亿美元基建将面临闲置,企业估值崩塌,先行者可能倒在黎明前。未来的赢家,不再只是技术或人才,而是掌握持续Token流动的系统性权力者。
#要闻推送 #虎嗅网 停更9天后OpenClaw迎来3.22大更新,但我们劝普通用户千万别急着升级 OpenClaw 3.22版本在经历9天停更后重磅上线,带来ClawHub插件市场、GPT-5.4系列模型支持、OpenShell安全沙箱等核心升级,推动AI智能体生态向标准化、安全化演进。但更新后大量用户遭遇控制台崩溃、插件兼容性问题,尤其对普通用户而言体验严重受挫,建议暂缓升级。尽管极客用户可快速适配并享受性能提升,但安全漏洞修复与API重构也暴露了稳定性短板。核心建议:开发者需立即迁移插件,企业必须升级,普通用户应先用工具自检风险,再决定是否更新。
#要闻推送 #虎嗅网 “烧Token”成KPI,有程序员一个月花掉15万美元 硅谷兴起“烧Token”热潮,工程师为冲刺KPI疯狂消耗AI算力,月账单达15万美元。Token已从技术计量单位演变为绩效指标与新型福利,但其背后隐含三大矛盾:计费逻辑复杂化、模型变“话多”导致消耗激增、底层成本持续上涨。尽管Token单价下降,总成本却飙升,暴露出“投入=产出”度量体系的严重缺失。当Token消耗成为生产力表演,真实价值衡量被忽视,这场狂欢背后的财务风险与效率盲区,正成为AI时代最大挑战。
#要闻推送 #36氪 国家数据局局长刘烈宏:将加快建立全国统一数据产权登记制度 国家数据局局长刘烈宏在24日发布会上表示,将加快建立全国统一数据产权登记制度,推进全国一体化数据市场建设,破解数据安全、合规、高效流通难题,助力“十五五”开局之年数据要素价值释放。
Showing the 12 most recent of 20 posts we hold for @bardos_news. 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.
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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“Bardos News” (@bardos_news), 262 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/bardos_news.
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.