ENG/中
老虎證券
行情
交易
收费
优惠与活动
帮助
TigerAI
专栏
关于
登入
立即註冊
Toggle
美股
詳情
本頁面由Tiger Trade Technology Pte. Ltd.提供服務
Mason Industrial Technology Inc
10.14
0.0000
成交量:
- -
成交額:
- -
市值:
6.34億
市盈率:
35.37
高:
10.14
開:
10.14
低:
10.14
收:
10.14
52周最高:
10.14
52周最低:
9.66
股本:
6,250.00萬
流通股本:
5,000.00萬
量比:
- -
換手率:
- -
股息:
- -
股息率:
- -
每股收益(TTM):
0.2867
每股收益(LYR):
0.3032
淨資產收益率:
--
總資產收益率:
-0.40%
市淨率:
-34.69
市盈率(LYR):
33.44
資料載入中...
總覽
公司
新聞資訊
公告
AI引爆科學,MIT博士創業一年拿到數億孖展
中国企业家
·
02/09
a16z新募資150億美元:一直被質疑,為何能成為「最會講故事」的風投?
Blockbeats
·
01/12
AI「狂飆」 勞動力市場面臨轉型壓力
金融时报
·
01/07
季逸超解釋Manus命名由來:源於MIT校訓「心手合一」,要做AI的「手」
睿见Economy
·
01/04
當硅谷用AI「洗白」裁員決策,「崗位消失論」是一場幻覺嗎?
第一财经
·
2025/12/28
掃地機器人鼻祖破產,股價暴跌觸發熔斷
市场资讯
·
2025/12/15
一家機器人公司要破產了
投资界
·
2025/12/14
兩個「賣鏟」的程序員,不營銷卻在不到2年撬動7個億
虎嗅APP
·
2025/11/30
MIT研究發現:人工智能已經可以取代美國11.7%的勞動力
华尔街见闻
·
2025/11/27
具有能動性的AI現已可替代美國11%的勞動力
科技刀哥
·
2025/11/27
CoinW研究院科普:什麼是Monad?
链捕手
·
2025/11/21
Nature 發布全球科研城市榜:北京第一,上海第二,美國城市集體下滑
DeepTech深科技
·
2025/11/20
哈佛MIT合作推進三十年難題:448量子比特架構實現關鍵糾錯能力,為潛在的量子飛躍奠定基礎
IT之家
·
2025/11/17
消息稱 Meta 加速推進機器人業務,拉來智能眼鏡負責人和 MIT 頂尖專家
IT之家
·
2025/11/14
計算領域將迎來重大變革(非人工智能)
新浪财经
·
2025/11/12
美國檢方尋求明年重新審理麻省理工應屆畢業生 2500 萬美元盜幣案
链捕手
·
2025/11/11
研究稱AI投資回報不佳,企業正重新召回被裁員工
IT之家
·
2025/11/10
人工智能是終結所有泡沫的終極泡沫,它的崩盤路線將是這樣的 |【經緯低調分享】
经纬创投
·
2025/11/10
走進Cursor60天:硅谷最「自驅動」的團隊
阿尔法工场研究院
·
2025/11/10
人工智能是終結所有泡沫的終極泡沫,它的崩盤路線將是這樣的(重磅)
起点财经
·
2025/11/05
更多
{"basename":"/hant","ssrTDKData":{"titleTemplate":"%s - 老虎證券","title":"澳洲华人首选美澳港股一站式交易平台 | 老虎证券","description":"澳、美、港、A股、ETF、期权一站式在线交易,超低佣金,新手也能轻松开启投资。在老虎证券, 1 美元起投资美股,24/5 无时差交易美股,澳大利亚华人信赖的在线炒股平台。","keywords":"老虎证券,老虎证券澳洲,老虎证券股票,老虎证券开户,老虎证券app,tigertrade老虎证券,股票,asx美股,炒股,券商,澳洲股票交易,澳大利亚炒股","social":{"ogDescription":"澳、美、港、A股、ETF、期权一站式在线交易,超低佣金,新手也能轻松开启投资。在老虎证券, 1 美元起投资美股,24/5 无时差交易美股,澳大利亚华人信赖的在线炒股平台。","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.be62fbe1.png","ogUrl":"https://www.itiger.com/hant/stock/MIT/news"},"companyName":"老虎證券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"AUS","license":"TBAU","edition":"fundamental","symbol":"MIT","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"MIT\",,,,,undefined,":{"symbol":"MIT","market":"US","secType":"STK","nameCN":"Mason Industrial Technology Inc","latestPrice":10.14,"timestamp":1729886400000,"preClose":10.14,"halted":0,"volume":0,"delay":0,"changeRate":0,"floatShares":50000000,"shares":62500000,"eps":0.286651,"marketStatus":"總統日休市","change":0,"latestTime":"10-25 16:00:00 EDT","open":10.14,"high":10.14,"low":10.14,"amount":0,"amplitude":0,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"ttmEps":0.286651,"tradingStatus":0,"nextMarketStatus":{"tag":"盤前交易","tradingStatus":1,"beginTime":1771318800000},"marketStatusCode":7,"adr":0,"exchange":"NYSE","adjPreClose":10.14,"volumeRatio":0},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"MIT\",,,,,undefined,":{"symbol":"MIT","floatShares":50000000,"roa":"-0.40%","roe":"--","lyrEps":0.303201,"shares":62500000,"dividePrice":0,"high":10.14,"amplitude":0,"preClose":10.14,"low":10.14,"week52Low":9.66,"pbRate":"-34.69","week52High":10.14,"institutionHeld":0,"latestPrice":10.14,"eps":0.286651,"divideRate":0,"volume":0,"delay":0,"ttmEps":0.286651,"open":10.14,"prevYearClose":9.995},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/MIT\",params:#limit:5,,,undefined,":[{"market":"US","date":"2023-02-03","symbol":"MIT","reason":null,"defaultRemindTime":1675434600000,"announcedDate":"2023-02-01","type":"delisting","dateTimestamp":1675400400000}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"MIT\",market:\"US\",,,undefined,":[],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"MIT\",market:\"US\",delay:false,,,undefined,":{},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/MIT\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"MIT","date":"2023-02-01","current":35.374026,"percent":0.832589,"low":-2484.98012,"twenty":-2434.98052,"median":-2419.98064,"eighty":34.831604,"high":83.394915,"avg":-1370.044816,"sd":1227.972216,"marketCap":626875000},"quantilePoints":[{"date":"2021-03-26","current":-2424.9806,"twenty":-2458.73033,"median":-2433.105535,"eighty":-2419.98064,"marketCap":606250000},{"date":"2021-04-01","current":-2427.48058,"twenty":-2462.650299,"median":-2441.855465,"eighty":-2425.980592,"marketCap":606875000},{"date":"2021-04-09","current":-2422.48062,"twenty":-2447.650419,"median":-2429.98056,"eighty":-2423.480612,"marketCap":605625000},{"date":"2021-04-16","current":-2457.48034,"twenty":-2458.980328,"median":-2441.855465,"eighty":-2424.9806,"marketCap":614375000},{"date":"2021-04-23","current":-2437.4805,"twenty":-2458.980328,"median":-2442.48046,"eighty":-2424.9806,"marketCap":609375000},{"date":"2021-04-30","current":-2444.98044,"twenty":-2457.48034,"median":-2442.48046,"eighty":-2425.980592,"marketCap":611250000},{"date":"2021-05-07","current":-2427.48058,"twenty":-2457.48034,"median":-2442.48046,"eighty":-2427.48058,"marketCap":606875000},{"date":"2021-05-14","current":-2412.4807,"twenty":-2456.675346,"median":-2439.98048,"eighty":-2425.480596,"marketCap":603125000},{"date":"2021-05-21","current":-2427.48058,"twenty":-2452.760378,"median":-2437.4805,"eighty":-2424.9806,"marketCap":606875000},{"date":"2021-05-28","current":-2414.98068,"twenty":-2449.480404,"median":-2437.4805,"eighty":-2424.9806,"marketCap":603750000},{"date":"2021-06-04","current":-2432.48054,"twenty":-2447.48042,"median":-2434.98052,"eighty":-2424.9806,"marketCap":608125000},{"date":"2021-06-11","current":-2424.9806,"twenty":-2447.48042,"median":-2433.73053,"eighty":-2424.9806,"marketCap":606250000},{"date":"2021-06-18","current":-2429.98056,"twenty":-2444.98044,"median":-2432.230542,"eighty":-2424.9806,"marketCap":607500000},{"date":"2021-06-25","current":-2412.4807,"twenty":-2444.320446,"median":-2429.98056,"eighty":-2422.48062,"marketCap":603125000},{"date":"2021-07-02","current":-2414.430685,"twenty":-2442.815457,"median":-2429.98056,"eighty":-2421.980624,"marketCap":603612500},{"date":"2021-07-09","current":-2417.48066,"twenty":-2442.48046,"median":-2429.98056,"eighty":-2419.98064,"marketCap":604375000},{"date":"2021-07-16","current":-2427.48058,"twenty":-2442.48046,"median":-2429.98056,"eighty":-2419.98064,"marketCap":606875000},{"date":"2021-07-23","current":-2414.98068,"twenty":-2441.730466,"median":-2427.48058,"eighty":-2418.980648,"marketCap":603750000},{"date":"2021-07-30","current":-2424.9806,"twenty":-2440.480476,"median":-2427.48058,"eighty":-2418.980648,"marketCap":606250000},{"date":"2021-08-06","current":-2424.9806,"twenty":-2439.98048,"median":-2427.48058,"eighty":-2419.98064,"marketCap":606250000},{"date":"2021-08-13","current":-2424.9806,"twenty":-2439.98048,"median":-2427.48058,"eighty":-2419.98064,"marketCap":606250000},{"date":"2021-08-20","current":-2407.48074,"twenty":-2439.98048,"median":-2426.23059,"eighty":-2418.230654,"marketCap":601875000},{"date":"2021-08-27","current":-2419.98064,"twenty":-2439.480484,"median":-2424.9806,"eighty":-2418.980648,"marketCap":605000000},{"date":"2021-09-03","current":-2422.48062,"twenty":-2437.4805,"median":-2424.9806,"eighty":-2419.98064,"marketCap":605625000},{"date":"2021-09-10","current":-2419.98064,"twenty":-2437.4805,"median":-2424.9806,"eighty":-2419.98064,"marketCap":605000000},{"date":"2021-09-17","current":-2407.48074,"twenty":-2437.4805,"median":-2424.9806,"eighty":-2419.98064,"marketCap":601875000},{"date":"2021-09-24","current":-2427.48058,"twenty":-2437.4805,"median":-2424.9806,"eighty":-2419.98064,"marketCap":606875000},{"date":"2021-10-01","current":-2434.98052,"twenty":-2437.4805,"median":-2424.9806,"eighty":-2419.98064,"marketCap":608750000},{"date":"2021-10-08","current":-2437.4805,"twenty":-2437.4805,"median":-2424.9806,"eighty":-2419.98064,"marketCap":609375000},{"date":"2021-10-15","current":-2434.98052,"twenty":-2437.4805,"median":-2424.9806,"eighty":-2419.98064,"marketCap":608750000},{"date":"2021-10-22","current":-2437.4805,"twenty":-2437.4805,"median":-2424.9806,"eighty":-2419.98064,"marketCap":609375000},{"date":"2021-10-29","current":-2437.4805,"twenty":-2437.4805,"median":-2427.48058,"eighty":-2419.98064,"marketCap":609375000},{"date":"2021-11-05","current":-2437.4805,"twenty":-2439.98048,"median":-2427.48058,"eighty":-2419.98064,"marketCap":609375000},{"date":"2021-11-12","current":-2439.98048,"twenty":-2439.98048,"median":-2427.48058,"eighty":-2419.98064,"marketCap":610000000},{"date":"2021-11-19","current":-2437.4805,"twenty":-2439.98048,"median":-2427.48058,"eighty":-2419.98064,"marketCap":609375000},{"date":"2021-11-26","current":-2439.98048,"twenty":-2439.98048,"median":-2429.96806,"eighty":-2419.98064,"marketCap":610000000},{"date":"2021-12-03","current":-2436.23051,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2421.980624,"marketCap":609062500},{"date":"2021-12-10","current":-2439.98048,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":610000000},{"date":"2021-12-17","current":-2429.98056,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":607500000},{"date":"2021-12-23","current":-2424.9806,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":606250000},{"date":"2021-12-31","current":-2432.48054,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":608125000},{"date":"2022-01-07","current":-2429.98056,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":607500000},{"date":"2022-01-14","current":-2429.98056,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":607500000},{"date":"2022-01-21","current":-2429.98056,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":607500000},{"date":"2022-01-28","current":-2424.9806,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":606250000},{"date":"2022-02-04","current":-2432.48054,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":608125000},{"date":"2022-02-11","current":-2434.98052,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":608750000},{"date":"2022-02-18","current":-2432.48054,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":608125000},{"date":"2022-02-25","current":-2432.48054,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":608125000},{"date":"2022-03-04","current":-2429.98056,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":607500000},{"date":"2022-03-11","current":-2434.98052,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":608750000},{"date":"2022-03-18","current":-2434.98052,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":608750000},{"date":"2022-03-25","current":-2434.98052,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":608750000},{"date":"2022-04-01","current":-2442.48046,"twenty":-2439.98048,"median":-2432.230542,"eighty":-2422.48062,"marketCap":610625000},{"date":"2022-04-08","current":34.633256,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":610625000},{"date":"2022-04-14","current":34.739602,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":612500000},{"date":"2022-04-22","current":34.757326,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":612812500},{"date":"2022-04-29","current":34.810499,"twenty":-2439.98048,"median":-2429.98056,"eighty":-2422.48062,"marketCap":613750000},{"date":"2022-05-06","current":34.77505,"twenty":-2437.4805,"median":-2429.98056,"eighty":-2419.98064,"marketCap":613125000},{"date":"2022-05-13","current":82.714834,"twenty":-2437.4805,"median":-2429.98056,"eighty":-2419.98064,"marketCap":608125000},{"date":"2022-05-20","current":83.012369,"twenty":-2437.4805,"median":-2429.98056,"eighty":-2419.98064,"marketCap":610312500},{"date":"2022-05-27","current":83.054874,"twenty":-2437.4805,"median":-2429.98056,"eighty":-2417.48066,"marketCap":610625000},{"date":"2022-06-03","current":83.139884,"twenty":-2437.4805,"median":-2429.98056,"eighty":-2414.98068,"marketCap":611250000},{"date":"2022-06-10","current":83.054874,"twenty":-2437.4805,"median":-2429.98056,"eighty":-2414.870681,"marketCap":610625000},{"date":"2022-06-17","current":82.884854,"twenty":-2437.4805,"median":-2429.98056,"eighty":-2412.4807,"marketCap":609375000},{"date":"2022-06-24","current":83.139884,"twenty":-2437.4805,"median":-2429.98056,"eighty":-2410.480716,"marketCap":611250000},{"date":"2022-07-01","current":83.139884,"twenty":-2437.4805,"median":-2427.980576,"eighty":-2403.980768,"marketCap":611250000},{"date":"2022-07-08","current":82.969864,"twenty":-2437.4805,"median":-2427.48058,"eighty":34.633256,"marketCap":610000000},{"date":"2022-07-15","current":82.969864,"twenty":-2437.4805,"median":-2427.48058,"eighty":34.668705,"marketCap":610000000},{"date":"2022-07-22","current":83.054874,"twenty":-2437.4805,"median":-2427.48058,"eighty":34.704153,"marketCap":610625000},{"date":"2022-07-29","current":83.309905,"twenty":-2437.4805,"median":-2427.48058,"eighty":34.739602,"marketCap":612500000},{"date":"2022-08-05","current":83.309905,"twenty":-2437.4805,"median":-2427.48058,"eighty":34.757326,"marketCap":612500000},{"date":"2022-08-12","current":83.309905,"twenty":-2437.4805,"median":-2427.48058,"eighty":34.764416,"marketCap":612500000},{"date":"2022-08-19","current":34.169601,"twenty":-2437.4805,"median":-2427.48058,"eighty":34.757326,"marketCap":611931250},{"date":"2022-08-22","current":34.236259,"twenty":-2437.4805,"median":-2427.48058,"eighty":34.757326,"marketCap":613125000},{"date":"2022-09-01","current":34.201359,"twenty":-2437.4805,"median":-2427.48058,"eighty":34.750236,"marketCap":612500000},{"date":"2022-09-06","current":34.201359,"twenty":-2437.4805,"median":-2427.48058,"eighty":34.746692,"marketCap":612500000},{"date":"2022-09-16","current":34.16646,"twenty":-2437.4805,"median":-2424.9806,"eighty":34.739602,"marketCap":611875000},{"date":"2022-09-23","current":34.236259,"twenty":-2437.4805,"median":-2424.9806,"eighty":34.739602,"marketCap":613125000},{"date":"2022-09-30","current":34.201359,"twenty":-2437.4805,"median":-2424.9806,"eighty":34.739602,"marketCap":612500000},{"date":"2022-10-07","current":34.480554,"twenty":-2437.4805,"median":-2424.9806,"eighty":34.739602,"marketCap":617500000},{"date":"2022-10-14","current":34.480554,"twenty":-2437.4805,"median":-2424.9806,"eighty":34.725422,"marketCap":617500000},{"date":"2022-10-21","current":34.585252,"twenty":-2437.4805,"median":-2424.9806,"eighty":34.704153,"marketCap":619375000},{"date":"2022-10-28","current":34.655051,"twenty":-2437.4805,"median":-2424.9806,"eighty":34.704153,"marketCap":620625000},{"date":"2022-11-04","current":34.632407,"twenty":-2437.4805,"median":-2424.9806,"eighty":34.704153,"marketCap":619375000},{"date":"2022-11-10","current":34.754721,"twenty":-2437.4805,"median":-2424.9806,"eighty":34.72071,"marketCap":621562500},{"date":"2022-11-18","current":34.807141,"twenty":-2437.230502,"median":-2424.355605,"eighty":34.739602,"marketCap":622500000},{"date":"2022-11-25","current":34.807141,"twenty":-2436.23051,"median":-2422.48062,"eighty":34.739602,"marketCap":622500000},{"date":"2022-12-02","current":34.772194,"twenty":-2436.23051,"median":-2422.48062,"eighty":34.754721,"marketCap":621875000},{"date":"2022-12-09","current":34.772194,"twenty":-2434.98052,"median":-2422.48062,"eighty":34.772194,"marketCap":621875000},{"date":"2022-12-16","current":34.772194,"twenty":-2434.98052,"median":-2422.48062,"eighty":34.772194,"marketCap":621875000},{"date":"2022-12-23","current":34.824615,"twenty":-2434.98052,"median":-2422.48062,"eighty":34.772194,"marketCap":622812500},{"date":"2022-12-30","current":34.946929,"twenty":-2434.98052,"median":-2422.48062,"eighty":34.773908,"marketCap":625000000},{"date":"2023-01-06","current":34.946929,"twenty":-2434.98052,"median":-2422.48062,"eighty":34.77505,"marketCap":625000000},{"date":"2023-01-13","current":35.121664,"twenty":-2434.98052,"median":-2422.48062,"eighty":34.807141,"marketCap":628125000},{"date":"2023-01-20","current":35.05177,"twenty":-2434.98052,"median":-2422.48062,"eighty":34.807141,"marketCap":626875000},{"date":"2023-01-27","current":35.057711,"twenty":-2434.98052,"median":-2419.98064,"eighty":34.810499,"marketCap":626981250},{"date":"2023-02-01","current":35.05177,"twenty":-2434.98052,"median":-2419.98064,"eighty":34.831604,"marketCap":626875000}],"updateTime":1771224665028},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"MIT\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2610068805","title":"AI引爆科學,MIT博士創業一年拿到數億孖展","url":"https://stock-news.laohu8.com/highlight/detail?id=2610068805","media":"中国企业家","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2610068805?lang=zh_tw&edition=fundamental","pubTime":"2026-02-09 08:03","pubTimestamp":1770595380,"startTime":"0","endTime":"0","summary":"AI不只是应用工具,已经开始帮助人类攻克基础科学的“卡脖子”问题。那时他正在麻省理工学院攻读博士学位。 AI for Science,意指用AI来做新的科学发现。11月25日,特朗普签署了“创世纪计划”行政命令,利用AI变革科学研究方式被美国抬上了国家级别。同期,硅谷上百个关于AI4S的创业项目诞生。同日,Anthropic宣布推出医疗保健和生命科学服务,帮助Claude用户共享健康记录。","market":"fut","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/vcpe/2026-02-09/doc-inhmenrt9441803.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["BK6515","BK6062","M11.SI","MIT","161022"],"gpt_icon":0},{"id":"2603357095","title":"a16z新募資150億美元:一直被質疑,為何能成為「最會講故事」的風投?","url":"https://stock-news.laohu8.com/highlight/detail?id=2603357095","media":"Blockbeats","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2603357095?lang=zh_tw&edition=fundamental","pubTime":"2026-01-12 10:24","pubTimestamp":1768184640,"startTime":"0","endTime":"0","summary":"当 a16z 掷出 150 亿美元新募资的重磅消息,整个风投圈又一次被它搅动——有人翻出多年来对其模式的质疑,有人好奇这笔钱将流向何方。我更想带你看清:a16z 为何能成为风投圈“最会讲故事”的玩家?如今,a16z 宣布其所有投资策略共募集 150 亿美元,监管下的管理资产规模突破 900 亿美元。2009 年全球金融危机后,a16z 募集了 3 亿美元的 1 号基金,并提出“为创始人提供运营支持平台”的理念。","market":"fut","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.theblockbeats.info/news/60867","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"theblockbeats_zh_highlight","symbols":["ARR","EBC","BK4149","BK4233","BK4585","BK4077","IRR","CTO","LU1066051225.USD","CFO","BK4160","BK4211","LU1066053197.SGD","BK4539","MIT","NAV","LU1066051498.USD","GP","LPA","BK4110","LU1066051811.HKD","GTM"],"gpt_icon":0},{"id":"2601840446","title":"AI「狂飆」 勞動力市場面臨轉型壓力","url":"https://stock-news.laohu8.com/highlight/detail?id=2601840446","media":"金融时报","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601840446?lang=zh_tw&edition=fundamental","pubTime":"2026-01-07 00:00","pubTimestamp":1767715200,"startTime":"0","endTime":"0","summary":"从全球范围来看,AI发展对就业市场造成的影响正进一步凸显。国际货币基金组织发布的《Gen-AI:人工智能和工作的未来》报告显示,人工智能会对全球近40%的就业岗位产生影响,未来,劳动力市场面临巨大转型压力。2024年诺贝尔奖得主、2018年图灵奖得主、加拿大多伦多大学计算机科学名誉教授杰弗里·辛顿预测了AI发展对劳动力市场的冲击。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260107101351a6fc8697&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260107101351a6fc8697&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["SG9999002232.USD","LU1046421795.USD","LU2430703251.USD","LU2487616109.SGD","LU0823411888.USD","LU1983260115.SGD","LU0949170772.SGD","LU2896262040.SGD","LU0726765562.USD","LU2125154778.USD","LU1564329032.USD","LU0128525929.USD","AI","LU1935042991.SGD","LU0251132253.USD","LU0345768740.USD","SGXZ99366536.SGD","LU2347655073.USD","MSFT","USAW.SI","BK4581","IE00BLSP4239.USD","LU2362540622.SGD","LU2087625088.SGD","LU0426412945.USD","LU0210528500.USD","IE00BN8TJ469.HKD","IE00BFSS7M15.SGD","LU1778281490.HKD","LU1934455277.USD","IMF","LU0323239441.USD","BK4532","AMZN","LU0096362180.USD","BK4585","JPM","MIT","IE00BBT3K403.USD","IE0034235295.USD","LU0029864427.USD","LU2506952170.USD","LU1934455194.USD","LU0109391861.USD","LU1323610961.USD","LU0210533765.USD","LU0787776722.HKD","LU1582986433.USD","LU1244550577.SGD","SG9999015986.USD","IE000W1ABFV2.USD"],"gpt_icon":1},{"id":"2600041154","title":"季逸超解釋Manus命名由來:源於MIT校訓「心手合一」,要做AI的「手」","url":"https://stock-news.laohu8.com/highlight/detail?id=2600041154","media":"睿见Economy","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2600041154?lang=zh_tw&edition=fundamental","pubTime":"2026-01-04 15:41","pubTimestamp":1767512460,"startTime":"0","endTime":"0","summary":"近日,在访谈中,被问及为什么自己的产品都是M开头时,Manus联合创始人兼首席科学家季逸超表示,完全就是一个巧合,“可能M开头的产品运气都不会太差”。 他特别指出,Manus可能有一点私心,因为名字是他起的。 季逸超谈到,别人都已经在心智上做了很远的探索,所有基座模型公司使命如此,而我们要做的其实是那个手,Manus就是拉丁语的手的意思。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/hy/hyjz/2026-01-04/doc-inhfcpht8949574.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["BK6515","BK6062","M11.SI","MIT"],"gpt_icon":0},{"id":"2594224083","title":"當硅谷用AI「洗白」裁員決策,「崗位消失論」是一場幻覺嗎?","url":"https://stock-news.laohu8.com/highlight/detail?id=2594224083","media":"第一财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2594224083?lang=zh_tw&edition=fundamental","pubTime":"2025-12-28 18:00","pubTimestamp":1766916050,"startTime":"0","endTime":"0","summary":"根据职场咨询公司Challenger,Gray&Christmas的数据,2025年美国约有5.5万次裁员被归因于人工智能(AI)。包括亚马逊和赛富时(Salesforce)在内的科技巨头裁减了上万个岗位,并将AI列为裁员的主要因素之一。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"stock_eastmoney","url":"http://finance.eastmoney.com/a/202512283603752673.html","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://finance.eastmoney.com/a/202512283603752673.html","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"stock_eastmoney","symbols":["BK4551","BK4585","BK4587","BK4588","BK4528","MIT","AI","BK4543","BK4023"],"gpt_icon":0},{"id":"2591972640","title":"掃地機器人鼻祖破產,股價暴跌觸發熔斷","url":"https://stock-news.laohu8.com/highlight/detail?id=2591972640","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2591972640?lang=zh_tw&edition=fundamental","pubTime":"2025-12-15 23:19","pubTimestamp":1765811940,"startTime":"0","endTime":"0","summary":"炒股就看金麒麟分析师研报,权威,专业,及时,全面,助您挖掘潜力主题机会! 大家好,美国扫地机器人鼻祖宣告破产,股价盘前直线崩跌超过70%。美股正式开盘之后,维持跌势,并且触发了熔断机制,总市值仅剩下3亿元人民币。 事情是这样的,Roomba扫地机器人制造商iRobot申请破产保护,并推进被其主要代工厂Picea Robotics收购,从而转为非上市公司的计划。","market":"fut","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/marketresearch/2025-12-15/doc-inhaxeft3515558.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-2","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["LU0097036916.USD","LU2420271590.USD","LU2750360997.AUD","IE000W1ABFV2.USD","LU1037948897.HKD","LU1935043023.USD","LU0256863902.USD","IE00B4YYXB79.USD","LU1116320737.USD","LU2092937148.SGD","IE0009G5SDU7.USD","IE00BJTD4V19.USD","BK4550","IE00B19Z3581.USD","MIT","LU1267930490.SGD","LU0053666078.USD","LU2505996681.GBP","SG9999018865.SGD","LU0345774631.USD","LU0786609619.USD","LU2430703095.HKD","IRBT","IE00BYQQ9H92.USD","IRBTQ","LU0353189763.USD","LU2461242641.AUD","LU2487616109.SGD","USAW.SI","IE00BWXC8680.SGD","LU1852331112.SGD","LU0162691827.USD","LU1934455194.USD","IE00BQXX3F31.USD","LU0648001328.SGD","LU0080751232.USD","IE00B19Z9505.USD","SINA","SGXZ81514606.USD","BK4581","SG9999015952.SGD","LU1778281490.HKD","LU1861558580.USD","LU1814569148.SGD","IE00BFSS8Q28.SGD","LU2063271972.USD","LU2111349929.HKD","LU0234572021.USD","LU0267386448.USD","LU1201861249.SGD"],"gpt_icon":1},{"id":"2591650602","title":"一家機器人公司要破產了","url":"https://stock-news.laohu8.com/highlight/detail?id=2591650602","media":"投资界","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2591650602?lang=zh_tw&edition=fundamental","pubTime":"2025-12-14 15:48","pubTimestamp":1765698493,"startTime":"0","endTime":"0","summary":"如果2026年1月15日前无法与债权人达成展期或再融资协议,公司将不得不申请破产保护。2002年,iRobot正式推出家用扫地机器人Roomba。一代扫地机器人开山鼻祖沦落至此,令人唏嘘不已。而在全球扫地机器人市场份额TOP5榜单中,中国品牌占据4席。如在深圳,一家机器人企业在30公里内便能基本完成从设计到量产的闭环。这一幕远不止于扫地机器人这一单一品类。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8p4Yug9ZyrV","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-2","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"fenghuang_stock","symbols":["BK4604","BK4547","BK4567","IRBT","MIT","BK4191","BK4585"],"gpt_icon":1},{"id":"2588713690","title":"兩個「賣鏟」的程序員,不營銷卻在不到2年撬動7個億","url":"https://stock-news.laohu8.com/highlight/detail?id=2588713690","media":"虎嗅APP","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2588713690?lang=zh_tw&edition=fundamental","pubTime":"2025-11-30 11:05","pubTimestamp":1764471900,"startTime":"0","endTime":"0","summary":"也就是说,更像是个“卖铲人”。从1990年以来,有超过97个人入选该榜单。这种“反向推销”的现象,充分反映了Reducto在硅谷的影响力。Reducto的“Agentic OCR”用一个“AI质检员”取代了“人类审核员”。这是一个“AI监督AI”的自修正系统。Reducto在核心产品发布后的6个月内,ARR从0增长到“7位数”,超过100万美元。到2025年4月A轮融资时,Reducto已经处理了“数亿页”文档;而在2025年10月的B轮融资时,累计处理量超过了“10亿页”。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://mp.weixin.qq.com/s?__biz=MTQzMjE1NjQwMQ==&mid=2656134601&idx=1&sn=3ae9603136575912c90480d6a456f1dd&chksm=67f48a616764c309a6a38129d293133662ced83cffe2db867b64479ef12d988dd191ab0aecb0&scene=0#rd","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"weixin_highlight","symbols":["LU0417517546.SGD","IE00BZ199S13.USD","LU1244550221.USD","MIT","LU0861579265.USD","IE00BJJMRY28.SGD","PMF","API","LU2237443978.SGD","LU0079474960.USD","LU0868494617.USD","LU2746668461.USD","IE00BKVL7J92.USD","BK4514","LU0127658192.USD","LU2054465674.USD","CV","LU0348723411.USD","CTO","LU0980610538.SGD","CEO","LU1261432733.SGD","LU1880398471.USD","LU0342679015.USD","LU1323610961.USD","USJW.SI","LU0096362180.USD","LU0251132253.USD","LU0310800379.SGD","BK4534","LU1066051811.HKD","AI","LU2023250330.USD","BK4585","LU0211331839.USD","LU2360106780.USD","LU0742534661.SGD","LU0316494557.USD","LU1074936037.SGD","LU1221951129.SGD","LU0154236417.USD","LU2456880835.USD","LU1934455863.HKD","LU0985320562.USD","LU2404859667.USD","IE00B19Z8W00.USD","LU1935043536.SGD","SG9999018865.SGD"],"gpt_icon":1},{"id":"2586293830","title":"MIT研究發現:人工智能已經可以取代美國11.7%的勞動力","url":"https://stock-news.laohu8.com/highlight/detail?id=2586293830","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586293830?lang=zh_tw&edition=fundamental","pubTime":"2025-11-27 06:01","pubTimestamp":1764194477,"startTime":"0","endTime":"0","summary":"麻省理工学院(MIT)发布的一项研究显示,人工智能已经能够替代美国劳动力市场的11.7%,这相当于金融、医疗保健及专业服务领域最多1.2万亿美元的工资规模。对于正在筹划数十亿美元再培训与技能提升投资的美国立法者而言,冰山指数提供了一张详细的地图,指出哪些地区正出现潜在的结构性冲击,细致程度甚至精确到邮政编码。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":null,"url":"https://wallstreetcn.com/articles/3760206","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wallstreetcn.com/articles/3760206","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["161631","MIT","BK6515","M11.SI","BK6062"],"gpt_icon":0},{"id":"2586293769","title":"具有能動性的AI現已可替代美國11%的勞動力","url":"https://stock-news.laohu8.com/highlight/detail?id=2586293769","media":"科技刀哥","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586293769?lang=zh_tw&edition=fundamental","pubTime":"2025-11-27 04:43","pubTimestamp":1764189825,"startTime":"0","endTime":"0","summary":"据CNBC报道,MIT的模拟结果显示,理论上的AI劳动力已经能够覆盖美国劳动力市场的11.7%,其潜在影响波及金融、医疗和专业服务等领域,涉及工资总额高达1.2万亿美元。与此同时,美国国会两党最新一项法案,正要求公司公开哪些岗位被AI取代。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8oc12EYyejc","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"fenghuang_stock","symbols":["BK4543","BK4585","BK4587","BK4588","MIT","BK4023","BK4528","BK4551","AI"],"gpt_icon":0},{"id":"2585971091","title":"CoinW研究院科普:什麼是Monad?","url":"https://stock-news.laohu8.com/highlight/detail?id=2585971091","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2585971091?lang=zh_tw&edition=fundamental","pubTime":"2025-11-21 15:26","pubTimestamp":1763709964,"startTime":"0","endTime":"0","summary":" Monad 最近成为加密圈最受关注的新项目:它不仅是 Coinbase 全新公募平台的首个发币,也被视为“高性能版以太坊”的代表。虽然公募启动时大盘走弱,但 Monad 仍吸引超 1 亿美元认购,显示其技术路线、团队背景(Jump Trading)、以及超 2.4 亿美元机构融资都获得市场高度认可。 ","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.chaincatcher.com/article/2222550","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU2360107671.USD","ETH.USD.HKCC","MIT","BK4600","BK4535","BK4596","EVM","LU1861558580.USD","LU1861220207.SGD","LU1861559042.SGD","ETH.USD.CC","APT.USD.HKCC","BK4554","COIN","BK4595","BK4585","BK4112","SOL.USD.HKCC","BK4539","BK4516","BK4588","LU1861217088.USD","APT.USD.CC","BK4551"],"gpt_icon":1},{"id":"2584131262","title":"Nature 發布全球科研城市榜:北京第一,上海第二,美國城市集體下滑","url":"https://stock-news.laohu8.com/highlight/detail?id=2584131262","media":"DeepTech深科技","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2584131262?lang=zh_tw&edition=fundamental","pubTime":"2025-11-20 20:25","pubTimestamp":1763641500,"startTime":"0","endTime":"0","summary":"近日,Nature旗下数据平台 Nature Index发布 2024 年全球科研城市排名,为这两个问题提供了参考。在 2024 年的全球科研城市综合排名前十位中,中国城市占据六席,且包揽了冠亚军,而美国城市占据四席,且上榜城市的产出份额普遍出现下滑。从排名第一的北京,到随后的上海、南京、广州、武汉、合肥、杭州、天津、西安和长春,中国城市在这一基础学科领域形成了集团优势。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/roll/2025-11-20/doc-infyafyr2521516.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["MIT"],"gpt_icon":0},{"id":"2584776619","title":"哈佛MIT合作推進三十年難題:448量子比特架構實現關鍵糾錯能力,為潛在的量子飛躍奠定基礎","url":"https://stock-news.laohu8.com/highlight/detail?id=2584776619","media":"IT之家","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2584776619?lang=zh_tw&edition=fundamental","pubTime":"2025-11-17 13:26","pubTimestamp":1763357179,"startTime":"0","endTime":"0","summary":"IT之家 11 月 17 日消息,量子计算的核心难题在于量子纠错 —— 如何在极易出错的量子比特中检测并移除错误。在这项研究中,科研人员构建了一个包含 448 个原子量子比特的“容错”系统,并通过多种技术组合操控它们以实现错误检测与纠正。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8oLzMCoUlww","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"fenghuang_stock","symbols":["MIT"],"gpt_icon":0},{"id":"2583013574","title":"消息稱 Meta 加速推進機器人業務,拉來智能眼鏡負責人和 MIT 頂尖專家","url":"https://stock-news.laohu8.com/highlight/detail?id=2583013574","media":"IT之家","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2583013574?lang=zh_tw&edition=fundamental","pubTime":"2025-11-14 18:17","pubTimestamp":1763115479,"startTime":"0","endTime":"0","summary":"IT之家 11 月 14 日消息,据 Business Insider 报道,Meta 正加速推进其尚处初期阶段的机器人业务,一方面积极招募人工智能人才,另一方面将公司最具影响力的硬件业务负责人之一调任至该团队。此次人事调动进一步表明 Meta 正严肃对待机器人领域的战略布局。米勒是 Meta 硬件部门的知名人物,长期深度参与公司智能眼镜战略制定。Meta 的机器人计划与其宏大的人工智能愿景紧密协同。据 The Verge 报道,Meta 正在内部研发一款代号为“Metabot”的人形机器人。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251114181828a4a15a27&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251114181828a4a15a27&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU1003077747.HKD","IE00B19Z8W00.USD","LU0784384876.USD","LU1242518857.USD","LU1564329032.USD","SGXZ51526630.SGD","IE00BJJMRY28.SGD","LU1064131342.USD","LU2896262040.SGD","IE00B1BXHZ80.USD","LU0061474705.USD","IE00BN29S564.USD","LU0348723411.USD","LU0820561909.HKD","META","LU0077335932.USD","LU0225283273.USD","LU0203202063.USD","LU1815336760.USD","LU0211331839.USD","IE00B7KXQ091.USD","LU0080751232.USD","LU2463028550.USD","LU1814569148.SGD","LU0353189680.USD","IE0009356076.USD","LU0912757837.SGD","BK4508","LU1116320901.HKD","LU0545039389.USD","IE00BMPRXN33.USD","LU0444973449.USD","LU0640476718.USD","FB","LU1732800096.USD","LU1974910355.USD","LU2237957811.SGD","BK4507","LU2764263203.CNY","LU1670710661.SGD","LU2063271972.USD","IE00BKDWB100.SGD","LU0267386448.USD","GB00BDT5M118.USD","LU0308772762.SGD","IE00BK4W5M84.HKD","LU1564329115.USD","LU0690374615.EUR","MIT","LU1823568750.SGD"],"gpt_icon":1},{"id":"2582837996","title":"計算領域將迎來重大變革(非人工智能)","url":"https://stock-news.laohu8.com/highlight/detail?id=2582837996","media":"新浪财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2582837996?lang=zh_tw&edition=fundamental","pubTime":"2025-11-12 20:01","pubTimestamp":1762948860,"startTime":"0","endTime":"0","summary":"而量子计算使用的是 “量子比特”。但无需期待量子计算机取代你的笔记本电脑或智能手机。这类计算机的优势在于解决涉及化学、数学的宏观复杂问题,因此可能在医疗健康、环境研究、金融、材料科学、密码学等领域带来颠覆性变革。埃森哲在其官网表示,量子计算机能够对比传统计算机无法处理的更大分子。纳塔拉詹指出,量子计算还可能对密码学与网络安全产生重大影响,因为它可用于破解保护数据的密码。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN202511122052129764ca98&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN202511122052129764ca98&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU0128525689.USD","LU0234572021.USD","LU2275660780.HKD","LU1880398554.USD","MIT","LU1066053197.SGD","LU1629891620.HKD","QTUM","LU0096362180.USD","LU1032955483.USD","LU0310799852.SGD","LU1823568750.SGD","LU0265550946.USD","LU2860962120.EUR","LU0784385840.USD","SG9999015978.USD","LU0211327993.USD","MSFT","LU2125154935.USD","LU0784384876.USD","LU1868836914.USD","LU0738911758.USD","LU2250418816.HKD","LU1868836591.USD","SGXZ31699556.SGD","LU0949170426.SGD","LU1935042215.USD","LU2360032135.SGD","GOOGL","LU2087625088.SGD","LU0466842654.USD","LU1868837136.USD","BK4550","LU1914381329.SGD","IE00BJTD4V19.USD","IBM","GB00B4LPDJ14.GBP","GOOG","LU0868494617.USD","IE00BKDWB100.SGD","LU1548497426.USD","LU2420271590.USD","SG9999015952.SGD","LU1244550494.USD","LU0314106906.USD","LU2111349929.HKD","LU1267930730.SGD","LU1868837300.USD","IE00BSNM7G36.USD","GB00B4QBRK32.GBP","LU2326559502.SGD","LU1571399168.USD"],"gpt_icon":1},{"id":"2582935803","title":"美國檢方尋求明年重新審理麻省理工應屆畢業生 2500 萬美元盜幣案","url":"https://stock-news.laohu8.com/highlight/detail?id=2582935803","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2582935803?lang=zh_tw&edition=fundamental","pubTime":"2025-11-11 23:47","pubTimestamp":1762876047,"startTime":"0","endTime":"0","summary":" ChainCatcher 消息,据彭博社报道,美国联邦检察官希望重新审理两名兄弟,他们被指控从以太坊区块链上的交易者手中盗取约 2500 万美元的加密货币。\n\n根据周一晚些时候提交的法庭文件,美国政府律师请求地方法院法官 Jessica Clarke 尽快安排新的诈骗审判,时间最早可能在二月,案件涉及的两名被告 James 和 Anton Peraire-Bueno 均为麻省理工学院(MIT)应届毕业生。 ","market":"sg","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.chaincatcher.com/article/2219266","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["MIT"],"gpt_icon":0},{"id":"2582829414","title":"研究稱AI投資回報不佳,企業正重新召回被裁員工","url":"https://stock-news.laohu8.com/highlight/detail?id=2582829414","media":"IT之家","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2582829414?lang=zh_tw&edition=fundamental","pubTime":"2025-11-10 17:24","pubTimestamp":1762766659,"startTime":"0","endTime":"0","summary":"IT之家 11 月 10 日消息,继麻省理工学院近期一项研究指出,95% 的企业尚未从其 AI 投资中获得正向回报,最新数据进一步表明:许多企业正重新召回此前为推行 AI 而裁撤的部分员工。据IT之家了解,Visier 本次分析覆盖全球 142 家企业的共计 240 万名员工数据,研究显示约 5.3% 的被裁员工最终被原雇主重新录用。Visier 研究与价值部门负责人安德莉亚德勒向《Axios》表示,这一现象清晰反映出当前企业普遍存在由 AI 驱动的“先裁员、后返聘”用人模式。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8oAemkI9B4L","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"fenghuang_stock","symbols":["BK4551","BK4023","BK4585","BK4588","MIT","BK4543","AI","BK4587","BK4528"],"gpt_icon":0},{"id":"2582084535","title":"人工智能是終結所有泡沫的終極泡沫,它的崩盤路線將是這樣的 |【經緯低調分享】","url":"https://stock-news.laohu8.com/highlight/detail?id=2582084535","media":"经纬创投","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2582084535?lang=zh_tw&edition=fundamental","pubTime":"2025-11-10 11:45","pubTimestamp":1762746302,"startTime":"0","endTime":"0","summary":"美国顶尖的科技杂志《连线》和老牌时政刊物《大西洋月刊》不约而同地发表了两篇深度调查,一篇题为《人工智能:终结所有泡沫的终极泡沫》,另一篇更是直白,题为《人工智能的崩盘将如何发生》。而它们不是孤立的。但AI的不确定性,是史无前例的。这是AI泡沫最坚不可摧,也是最危险的一环。数据中心,就是这场狂热的纪念碑。而支撑这一切的,是令人窒息的金钱。而在20年前,福特的市值几乎是英伟达的三倍。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251110115354a6ee6602&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251110115354a6ee6602&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["SNVD.UK","NVDU","IE00B3S45H60.SGD","FB","IE00BDRTCR15.USD","LU0310800379.SGD","LU1691799644.USD","3NVD.UK","LU2505996509.AUD","LU2552382132.HKD","LU1267930730.SGD","NVDS","LU0642271901.SGD","NVIW.SI","04338","BK4527","IPO","NVDY","LU2552382215.SGD","META","LU0353189763.USD","LU2357305700.SGD","IE0034235295.USD","NVD3.UK","NVDA","NVDX","LU0640476718.USD","IE0034235303.USD","NVD","NVDS.UK","LU2471134952.CNY","LU0708994859.HKD","MSFT","NVD2.UK","LU1035773651.USD","LU1548497426.USD","LU1633808545.USD","LU0157215616.USD","MIT","SG9999015952.SGD","LU0006306889.USD","NVDD","SG9999001424.SGD","ORCL","LU2750360997.AUD","LU0320765059.SGD","AGI","LU0211328371.USD","LU1037948541.HKD","LU2083900584.USD","AI","2NVD.UK"],"gpt_icon":1},{"id":"2582846707","title":"走進Cursor60天:硅谷最「自驅動」的團隊","url":"https://stock-news.laohu8.com/highlight/detail?id=2582846707","media":"阿尔法工场研究院","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2582846707?lang=zh_tw&edition=fundamental","pubTime":"2025-11-10 08:00","pubTimestamp":1762732800,"startTime":"0","endTime":"0","summary":"我最初是通过一位前同事了解到Cursor团队的,他说这家公司想接触那些“对营销有独特见解”的人。关于Cursor,外界有很多神秘感。Cursor的文化以线下办公为主——86%的员工在旧金山总部或纽约新办公室工作。在Cursor,就连厨师都极具自主能动性。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://mp.weixin.qq.com/s?__biz=MjM5MzAzNzE0MQ==&mid=2651595886&idx=4&sn=eb870651c469525e56b92e6fdc6cb44c&chksm=bcb5bf50a57f9758d6b48759a13d9ca92b92ce950607ea499f6a1c2435d1c3edd5898733e8a6&scene=0#rd","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"weixin_highlight","symbols":["MIT","LU2500361329.USD","LU0553294199.USD","UX","LU0661504455.SGD","LU1003077747.HKD","BK4208","LU0545039389.USD","BK4588","ARR","LU0949170772.SGD","LU2346227817.USD","CMS","LU1894683264.USD","BK4585","LU0738911758.USD","LU1894683348.USD","LU2637428348.USD","BK4110"],"gpt_icon":0},{"id":"2581571226","title":"人工智能是終結所有泡沫的終極泡沫,它的崩盤路線將是這樣的(重磅)","url":"https://stock-news.laohu8.com/highlight/detail?id=2581571226","media":"起点财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2581571226?lang=zh_tw&edition=fundamental","pubTime":"2025-11-05 14:02","pubTimestamp":1762322548,"startTime":"0","endTime":"0","summary":"美国顶尖的科技杂志《连线》和老牌时政刊物《大西洋月刊》不约而同地发表了两篇深度调查,一篇题为《人工智能:终结所有泡沫的终极泡沫》,另一篇更是直白,题为《人工智能的崩盘将如何发生》。而它们不是孤立的。但AI的不确定性,是史无前例的。这是AI泡沫最坚不可摧,也是最危险的一环。这,就是泡沫的物理形态。数据中心,就是这场狂热的纪念碑。而支撑这一切的,是令人窒息的金钱。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251105141534a489bcf1&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251105141534a489bcf1&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["NVDU","LU0347712357.USD","LU1551013425.SGD","LU0353189680.USD","NVDS","LU2023251221.USD","BK4581","IE00BZ199S13.USD","SNVD.UK","GOOG","AI","NVD3.UK","NVDX","LU1670711040.USD","NVDD","SG9999014906.USD","IPO","NVD2.UK","SG9999004303.SGD","GB00B4LPDJ14.GBP","GOOGL","04338","2NVD.UK","META","LU1670710661.SGD","SGXZ31699556.SGD","LU0354030438.USD","NVDS.UK","LU2089283258.USD","NVDA","LU0094547139.USD","LU1821325948.USD","LU0823414478.USD","BK4573","3NVD.UK","LU0444971666.USD","IE00B4JS1V06.HKD","NVIW.SI","IE0034235303.USD","IE00B7KXQ091.USD","NVDY","AGI","MIT","ORCL","LU0823434740.USD","IE00BK4W5L77.USD","LU1670627923.USD","LU2111349929.HKD","MSFT","LU0868494617.USD","NVD","LU0251132253.USD","LU0211331839.USD","FB"],"gpt_icon":1}],"pageSize":20,"totalPage":3,"pageCount":1,"totalSize":44,"code":"91000000","status":"200"}]}}