英伟达或削减Rubin Ultra显存配置 英伟达正考虑调整下一代Rubin Ultra GPU设计方案,通过减少高带宽内存(HBM)配置应对先进HBM芯片供应紧张。 据The Information报道,知情人士透露,过去几周英伟达已测试至少三种不同版本的Rubin Ultra GPU,其中部分版本搭载的显存容量低于公司此前公布的规划。 英伟达考虑推出低显存版本,主要原因是市场可能无法获得足够数量的先进HBM芯片。HBM是AI加速器的关键组件,能够提供更高的数据传输速度,成为训练和推理大型AI模型的重要基础。 随着AI算力需求快速增长,HBM供应已成为限制高端AI芯片产能的重要因素之一。 HBM供应瓶颈正从上游制约高端AI芯片产能,Rubin Ultra的配置调整反映供应链紧张对产品规划的直接影响。 #Web3 #区块链 #英伟达 #NVIDIA #RubinUltra #HBM #AI芯片 #半导体 @Web3T…

Channel
Web3技术前沿|区块链·智能合约·协议
@Web3TechTrend
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,188subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1004493372095 |
|---|---|
| Type | Channel |
| Username | @Web3TechTrend |
| Created | Between 1 June 2026 and 4 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 9 August 2026 |
| On Telegram | t.me/Web3TechTrend |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 02:44 | 1,188 | +1 |
| 6 Aug 2026, 20:01 | 1,187 | no change |
| 6 Aug 2026, 19:52 | 1,187 | first reading |
Engagement
17 posts held, back to 4 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.253%
- avg views ÷ 1,188 subscribers
- Avg views / post
- 3.0
- 17 posts measured
- Reaction rate
- 25.0%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 17 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 1 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 17 (4 August 2026 – 6 August 2026) |
| Views total | 51 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 20:01 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.
Reaction mix
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 17 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 4 August 2026 to 6 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
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美国初请失业金人数低于预期 美国上周首次申领失业救济人数为19.9万人,低于市场预估的20.5万人。 据财联社报道,美国8月6日当周首次申领失业救济人数录得19.9万人,预估为20.5万人,前值为19.7万人。数据较前值小幅上升,但仍低于市场预期。 初请数据反映美国劳动力市场仍具韧性,该指标常被纳入加密市场宏观流动性观察框架。 #Web3 #区块链 #美国 #失业金 #宏观数据 #链上观察 @Web3TechTrend
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❤1
PayPal新CEO推动三大业务独立披露 PayPal新任首席执行官Enrique Lores宣布,公司将首次对三大核心业务进行独立披露,并为各业务线设定具体收入目标,以提升财务透明度。 据彭博社报道,Enrique Lores表示,PayPal将调整财务报告方式,并制定更加明确的业务目标,包括针对不同业务单元设定具体增长指标。此举旨在帮助投资者更清晰评估各部门的发展潜力。 此前,PayPal一直面临增长放缓、竞争加剧以及市场对公司战略方向不明确等问题。市场还曾传出潜在收购方关注PayPal的消息。Enrique Lores称,新的业务拆分和目标管理方式将帮助公司提升透明度,让投资者更好理解不同业务板块的价值。 此次重组是PayPal应对增长压力、回应市场关切的最新举措,业务拆分后的财务表现将成为观察其战略转型成效的关键窗口。 #Web3 #区块链 #PayPal #EnriqueLores #支付 #业务重组 #财务…
Kalshi 打造全球资产与事件交易平台 Kalshi 正借助预测市场与受监管永续合约,构建一个可供全球用户交易各类资产、事件与金融风险的交易所。 Kalshi 定位为“万物交易所”,其核心思路是将预测市场与合规永续合约相结合,使几乎任何资产、事件或金融风险都能在全球范围内进行交易。该平台试图突破传统交易所的资产类别限制,覆盖更广泛的交易需求。 在技术层面,Kalshi 提及与 NEAR 相关的跨链能力,支持 35 条以上链的机密交换。这一功能由赞助商支持,旨在提升多链环境下的交易隐私性与互操作性。 此外,Kalshi 生态内还包含播客、新闻通讯、分析工具与社区功能。其内容矩阵覆盖以太坊、比特币、DeFi、NFT 等领域,并提供空投追踪、代币销售清单、收益池筛选等工具,部分功能为付费订阅用户专享。 该平台试图以合规框架整合预测市场与衍生品交易,其跨链隐私功能与多链覆盖或将为链上交易提供新的基础设施选项。 #Web3 …
伊朗阿曼霍尔木兹协议接近完成 伊朗副外长表示,伊朗与阿曼就霍尔木兹海峡安排达成的协议已接近完成,双方取得重大进展。知情人士称,若协议最终敲定,重新开放霍尔木兹海峡仍需另行达成安排,其中也包括美国履行相关承诺。 #Web3 #区块链 #伊朗 #阿曼 #霍尔木兹海峡 #地缘政治 @Web3TechTrend
AI股抛售冲击对冲基金,Balyasny与Verition双双亏损 多策略对冲基金Balyasny资产管理和Verition Fund Management在7月均录得亏损,人工智能概念股抛售潮冲击市场,令众多对冲基金受挫。 据彭博社报道,Balyasny在7月下跌1.5%,今年前七个月累计回报收窄至1.2%。Verition下跌1.1%,今年以来累计回报降至4.5%。由于涉及业绩数据,知情人士要求匿名。 与此同时,也有部分对冲基金在市场剧烈波动中获利。城堡旗舰基金Wellington在7月上涨5.9%,受益于接盘Situational Awareness持仓。ExodusPoint Capital等机构的具体表现暂未披露。 AI概念股回调引发的连锁反应仍在持续,对冲基金业绩分化明显,市场波动中部分机构凭借策略调整实现正收益。 #Web3 #区块链 #对冲基金 #AI #Balyasny #Verition #Well…
万事达与Visa推进稳定币布局,路径分化目标一致 两大卡组织正以不同路径推进稳定币战略,目标指向同一方向:掌控稳定币底层支付轨道。 万事达与Visa两大卡组织近期持续加码稳定币业务,但采取的策略路径明显不同。双方均将稳定币视为下一代支付基础设施的关键环节,试图在稳定币底层轨道上占据主导地位。 万事达侧重与稳定币发行方及银行体系合作,推动稳定币与传统支付网络的融合;Visa则更倾向于直接接入稳定币生态,探索链上结算与法币通道的衔接。尽管路径各异,两家公司对稳定币在跨境支付、资金结算等场景中的应用前景均持积极态度。 报道指出,卡组织巨头入局稳定币赛道,意味着传统支付体系与加密生态的边界正在进一步模糊。稳定币作为连接法币与链上资产的桥梁,其底层基础设施的竞争或将重塑全球支付格局。 两大卡组织在稳定币领域的布局,反映出传统金融巨头对加密支付基础设施的战略重视,后续进展值得持续关注。 #Web3 #区块链 #万事达 #Visa…
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摩根大通牵头组建跨行业AI安全联盟 摩根大通CEO Jamie Dimon正推动在美国组建跨行业联盟,以应对快速部署的AI带来的安全风险。该联盟将在现有“关键基础设施联盟”(ACI)基础上扩展,已联系超40家关键基础设施企业。 据路透社报道,该联盟重点围绕AI使用场景、潜在风险和所需安全措施开展信息共享,并与特朗普政府协同制定应对方案。 自7月起,Dimon已联系超40家涵盖金融服务、能源、水务、公用事业、电信、航空、铁路等关键基础设施企业,计划于8月召开电话会议。 目标是在年内让重塑后的ACI完全运转,成为跨行业AI与技术风险应对与信息共享平台。 此次联盟的组建标志着传统金融巨头正牵头推动关键基础设施领域的AI安全治理,跨行业协同应对技术风险。 #Web3 #区块链 #摩根大通 #JPMorgan #AI安全 #ACI #关键基础设施 #美国 @Web3TechTrend
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Showing the 12 most recent of 17 posts we hold for @Web3TechTrend. 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.
Citation-graph rank
Citation-graph rank — 167,484 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 28 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@DevToolboxHub · 1,2143 posts加密交易学堂|合约·现货·K线教学
@CryptoTradeEdu · 1,1782 postsGRAM生态观察|TON链·钱包·代币动态
@GramTonWatch · 192 postsAI前沿情报|AI新闻·大模型·ChatGPT
@AIDailyCN · 1,1951 post澳洲新闻 · 华人生活圈
@AussieChineseHub · 1,2001 post科技热点局|科技新闻·数码·前沿
@BigTechWatchCN · 1,2111 postBitcoin & Macro
@BitcoinMacroCN · 1,1891 post中文社会热点|社会·民生·舆情
@CNSocialFocus · 1,1821 post加密货币日报|币圈·行情·快讯
@CryptoDailyCN · 1,0571 postDeFi & Yield|DeFi·Staking·Yield Farming
@DeFiYieldChannel · 1,2061 postHacker News 中文|科技头条
@HNChineseDaily · 1,1191 post房地产观察|楼市·房价·地产政策
@HouseWatchCN · 1,0591 postiOS 侧载精选|巨魔·免签·解锁应用
@iOSSideloadCN · 211 post宏观经济学堂|宏观经济·货币政策·分析
@MacroEconCN · 1,0701 post伊朗·中东观察
@MideastWatchCN · 1,2271 post万物观察|自然·地理·科普
@NatureWonderCN · 1,0021 post新西兰生活报
@NZChineseHub · 2081 post海外远程岗位库|远程工作·海外招聘·数字游民
@RemoteJobsHubCN · 1,2571 post东南亚新闻 · 东盟十国
@SEAChineseHub · 1,3631 post安全内参|漏洞·渗透·攻防
@SecTalkCN · 221 post创业内参|创业·融资·商业模式
@StartupInsiderCN · 1,2071 post英国新闻 · 留学圈 伦敦
@UKChineseHub · 1831 postWeb3链上职位|区块链招聘·远程·Crypto Jobs
@Web3JobsCN · 1,4461 postWeb3 & Protocol Tech|Web3·Smart Contracts·Protocol
@Web3ProtocolDaily · 2101 post
Names
Channels on the register whose handles appear in this channel's posts.
@AIDailyCN · 1,1951 post空投情报站|空投·测试网·撸毛教程
@AirdropIntelCN · 1,2011 postAveWallet 自动能量租赁
@AveWalletChinese · 1,0661 postBitcoin & Macro
@BitcoinMacroCN · 1,1891 post中文社会热点|社会·民生·舆情
@CNSocialFocus · 1,1821 postCripto en Español|Bitcoin·Criptomonedas·Análisis
@CriptoDiarioES · 1,3371 postCrypto Daily|Bitcoin·Ethereum·News
@CryptoDailyWireCN · 1,2081 postCrypto Farsi|ارز دیجیتال·بیتکوین·تحلیل
@CryptoFarsiDaily · 1,3071 post加密财经观察|比特币·以太坊·行情
@CryptoFinanceWatch · 1,2001 postCrypto Markets & Analysis|Markets·Trading·Analysis
@CryptoMktLens · 1,2061 post加密一线快讯|币圈·异动·突发
@CryptoNewsFlashCN · 1,0551 post网络安全·黑客攻防|渗透·CTF·安全资讯
@CyberSecWatch · 1,1911 postDeFi & Yield|DeFi·Staking·Yield Farming
@DeFiYieldChannel · 1,2061 post从太空看地球|卫星遥感·地球观测·科普
@EarthFromSpaceCN · 1,2891 post电商运营秘籍|电商运营·跨境·选品
@EcomOpsCN · 1,1731 post游戏日报|新作·热点·硬核
@GameDailyCN · 9841 post德国新闻(柏林 慕尼黑)
@GermanyChineseHub · 1,2081 postGitHub开源观察|开源项目·热门仓库·开发者
@GitHubTrendingHub · 1,3121 post伊朗·中东观察
@MideastWatchCN · 1,2271 post海外远程岗位库|远程工作·海外招聘·数字游民
@RemoteJobsHubCN · 1,2571 post软件工具库|软件推荐·效率工具·实用App
@SoftwareToolboxCN · 1,2031 post奇闻冷知识|冷知识·奇闻·趣事
@TriviaFactsCN · 1,1721 postWeb3链上职位|区块链招聘·远程·Crypto Jobs
@Web3JobsCN · 1,4461 post命理玄学馆|易经·八字·黄历·星座运势
@YijingDailyCN · 1,0641 post
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“Web3技术前沿|区块链·智能合约·协议” (@Web3TechTrend), 1,188 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/Web3TechTrend.
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.