美股詳情

本頁面由Tiger Trade Technology Pte. Ltd.提供服務

CTO Realty Growth, Inc.

20.86

+0.15000.72%

盤後：20.73-0.1300-0.62%19:30 EDT

成交量：27.54萬

成交額：573.54萬

市值：7.82億

市盈率：15.32

高：21.03

開：20.89

低：20.70

收：20.71

52周最高：22.71

52周最低：15.07

股本：3,748.55萬

流通股本：3,748.55萬

量比：0.84

換手率：0.73%

股息：1.52

股息率：7.29%

每股收益(TTM):1.36

每股收益(LYR):0.0800

淨資產收益率：8.50%

總資產收益率：1.84%

市淨率：1.18

市盈率(LYR):260.89

資料載入中...

總覽公司新聞資訊公告

科大訊飛智能汽車CTO雷琴輝：要PUA大模型，才會給你認真思考

麻吉大哥：擬 100 萬美元收購 Friend.tech，通過 CTO 重啓項目

Ledger CTO 回應漏洞 FUD：問題曝出前已修復，用户及時更新即可安全使用

對話平安集團CTO王曉航：超前半步，中國平安的AI"務實主義"

华尔街见闻

具身江湖志（一）：學術派下山記

萬拿機器人CTO祖紅磊：讓靈巧手從「按照指令抓」逐步走向「根據現場情況自己判斷怎麼抓」

貝塔無限聯合創始人兼CTO陶帥：以人為中心——面向人機共融場景的具身技術新範式

減持 92% 仍持 200 萬枚：Ripple 前 CTO 澄清未清倉

Meta CTO：AI 省下的時間，不是用來休假的

神州控股科捷CTO張虎坡：AI開始進入供應鏈執行層面

中国经营报

曝鹿明機器人CTO丁琰已於近期離職，官方暫無回應

Ledger CTO：Coldcard 漏洞警示硬件錢包安全需適應 AI 時代

九方智投CTO邱林：未來3～5年金融AI將邁向真正的智能自動化

蜜度CTO劉益東：大模型競賽轉向「真落地」，深耕辦公垂類AI

直擊WAIC丨螞蟻大安全CTO陳亮：智能體越強，信任風險越不容忽視

前OpenAI CTO的首款AI大模型：架構借鑑DeepSeek-V3，使用Kimi K2.5改進

华尔街见闻

前京東集團副總裁、瑞幸咖啡CTO何剛再創業，殺入家庭陪伴機器人賽道

滴滴自動駕駛CTO盛克華：深化AI創新，加速Robotaxi智能湧現

對話雷諾CTO布魯內：22個月，一台中國研發的車賣爆了歐洲

华尔街见闻

IBM 大中華區CTO翟峯：當AI進入企業核心業務，最大的困難往往不是交付和上線

{"basename":"/hant","ssrTDKData":{"titleTemplate":"%s - 老虎證券","title":"老虎證券香港 | 輕鬆買賣美股港股A股/美債/ETF/Crypto/期權期貨","description":"老虎證券香港提供多種優惠: 港股&Crypto 0佣、A股一年0佣、美股期權0佣、IPO抽新股0孖展利息0手續費。美股1美金起投，即時串流報價與多種工具，立即開戶享更多優惠！","keywords":"老虎證券,老虎證券開戶,老虎證券香港,老虎證券投資,老虎證券美股,老虎證券登錄,證券開戶,證券公司開戶,股票開戶,香港證券公司,香港證券,證券公司,美股投資平台,小額投資理財,投資app,投資平台,股票買賣,買賣股票平台,炒股app,證券app,新手投資","social":{"ogDescription":"老虎證券香港提供多種優惠: 港股&Crypto 0佣、A股一年0佣、美股期權0佣、IPO抽新股0孖展利息0手續費。美股1美金起投，即時串流報價與多種工具，立即開戶享更多優惠！","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.0a0bd8dc.png","ogUrl":"https://www.atigrcrest.com/hant/stock/CTO/news"},"companyName":"老虎證券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"HKG","license":"TBHK","edition":"fundamental","symbol":"CTO","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"CTO\",,,,,undefined,":{"symbol":"CTO","market":"US","secType":"STK","nameCN":"CTO Realty Growth, Inc.","latestPrice":20.86,"timestamp":1789416000000,"preClose":20.71,"halted":0,"volume":275431,"hourTrading":{"tag":"盘后","latestPrice":20.73,"preClose":20.86,"latestTime":"19:30 EDT","volume":16558,"amount":345361.94,"timestamp":1789428606947,"change":-0.13,"changeRate":-0.006232,"amplitude":0.006232},"delay":0,"changeRate":0.007242877836793751,"floatShares":37485454,"shares":37485454,"eps":1.361632,"marketStatus":"已收盤","change":0.15,"latestTime":"09-14 16:00:00 EDT","open":20.89,"high":21.03,"low":20.7,"amount":5735435.775914,"amplitude":0.015934,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"ttmEps":1.361632,"tradingStatus":0,"nextMarketStatus":{"tag":"盤前交易","tradingStatus":1,"beginTime":1789459200000},"marketStatusCode":5,"adr":0,"adrRate":0,"exchange":"NYSE","adjPreClose":20.71,"dividendRate":0.072872,"preHourTrading":{"tag":"盘前","latestPrice":20.95,"preClose":20.71,"latestTime":"09:13 EDT","volume":423,"amount":8761.639185,"timestamp":1789391581972,"change":0.24,"changeRate":0.011589,"amplitude":0.019797},"postHourTrading":{"tag":"盘后","latestPrice":20.73,"preClose":20.86,"latestTime":"19:30 EDT","volume":16558,"amount":345361.94,"timestamp":1789428606947,"change":-0.13,"changeRate":-0.006232,"amplitude":0.006232},"volumeRatio":0.840003,"impliedVol":0.2432,"impliedVolPercentile":0.2629},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"CTO\",,,,,undefined,":{"symbol":"CTO","floatShares":37485454,"roa":"1.84%","roe":"8.50%","lyrEps":0.079956,"volumeRatio":0.840003,"shares":37485454,"dividePrice":1.5201,"high":21.03,"amplitude":0.015934,"preClose":20.71,"low":20.7,"week52Low":15.065,"pbRate":"1.18","psRate":"4.85","week52High":22.71,"institutionHeld":0.861,"latestPrice":20.86,"eps":1.361632,"divideRate":0.072872,"volume":275431,"delay":0,"ttmEps":1.361632,"open":20.89,"prevYearClose":18.41,"prevWeekClose":20.71,"prevMonthClose":21.34,"prevQuarterClose":21.51,"fiveDayClose":21.49,"twentyDayClose":22,"sixtyDayClose":20.66,"dividendPayoutRate":19.010455750662864,"dividendFrequency":"Q","dividendGrowthYears":4,"dividendGrowthRate":0,"fiveYearAvgDividendRate":0.07901921153848199},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/CTO\",params:#limit:5,,,undefined,":[{"date":"2026-09-10","symbol":"CTO","amount":0.38,"announcedDate":"2026-08-19","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2026-09-10","defaultRemindTime":1789047000000,"name":"CTO Realty Growth, Inc.","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2026-09-30","payableDate":"2026-09-10","currency":"USD","dateTimestamp":1789012800000,"payDate":"2026-09-30"},{"date":"2026-07-28","symbol":"CTO","type":"earning","reportTimeType":"post","market":"US","fiscalQuarterEnding":"2026/06","expectedEps":0.51,"defaultRemindTime":1785268800000,"name":null,"time":"盤後","dateTimestamp":1785211200000,"actualEps":null},{"date":"2026-06-11","symbol":"CTO","amount":0.38,"announcedDate":"2026-05-27","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2026-06-11","defaultRemindTime":1781184600000,"name":"CTO Realty Growth, Inc.","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2026-06-30","payableDate":"2026-06-11","currency":"USD","dateTimestamp":1781150400000,"payDate":"2026-06-30"},{"date":"2026-04-28","symbol":"CTO","type":"earning","reportTimeType":"post","market":"US","fiscalQuarterEnding":"2026/03","expectedEps":0.48,"defaultRemindTime":1777406400000,"name":null,"time":"盤後","dateTimestamp":1777348800000,"actualEps":null},{"date":"2026-03-12","symbol":"CTO","amount":0.38,"announcedDate":"2026-02-19","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2026-03-12","defaultRemindTime":1773322200000,"name":"CTO Realty Growth, Inc.","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2026-03-31","payableDate":"2026-03-12","currency":"USD","dateTimestamp":1773288000000,"payDate":"2026-03-31"}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"CTO\",market:\"US\",,,undefined,":[{"executeDate":"2017-02-08","recordDate":"2017-02-10","paymentDate":"2017-02-28","value":0.04,"currency":"USD"},{"executeDate":"2017-05-08","recordDate":"2017-05-10","paymentDate":"2017-05-30","value":0.04,"currency":"USD"},{"executeDate":"2017-08-08","recordDate":"2017-08-10","paymentDate":"2017-08-30","value":0.05,"currency":"USD"},{"executeDate":"2017-11-09","recordDate":"2017-11-10","paymentDate":"2017-11-30","value":0.05,"currency":"USD"},{"executeDate":"2018-02-08","recordDate":"2018-02-10","paymentDate":"2018-02-28","value":0.06,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"CTO\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.1429,"buy":0.8571,"hold":0,"sell":0,"strongSell":0,"meanLabel":"BUY","meanPercent":0.8571,"analysts":7,"updateTime":1786420800000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/CTO\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"CTO","date":"2026-09-11","current":15.393293,"percent":0.546417,"low":-315.02336,"twenty":-84.809507,"median":12.949886,"eighty":48.908705,"high":137.649408,"avg":-16.146468,"sd":87.890002,"marketCap":780822006},"quantilePoints":[{"date":"2021-09-17","current":3.895394,"twenty":2.915708,"median":6.933002,"eighty":29.590357,"marketCap":320283149},{"date":"2021-09-24","current":3.917127,"twenty":2.915708,"median":6.918295,"eighty":29.245684,"marketCap":322070111},{"date":"2021-10-01","current":3.964217,"twenty":2.915708,"median":6.869053,"eighty":28.759389,"marketCap":325941868},{"date":"2021-10-08","current":3.861344,"twenty":2.915708,"median":6.835975,"eighty":28.564871,"marketCap":317483570},{"date":"2021-10-15","current":3.876558,"twenty":2.915708,"median":6.830463,"eighty":28.360941,"marketCap":318734443},{"date":"2021-10-22","current":3.849028,"twenty":2.915708,"median":6.802898,"eighty":28.022103,"marketCap":316470970},{"date":"2021-10-29","current":2.968064,"twenty":2.915708,"median":6.781949,"eighty":21.098958,"marketCap":319630861},{"date":"2021-11-05","current":3.127513,"twenty":2.915708,"median":6.756537,"eighty":21.04064,"marketCap":336801853},{"date":"2021-11-12","current":3.081561,"twenty":2.915708,"median":6.746667,"eighty":20.87099,"marketCap":331853263},{"date":"2021-11-19","current":3.161285,"twenty":2.915708,"median":6.725718,"eighty":20.694049,"marketCap":340438759},{"date":"2021-11-26","current":3.041699,"twenty":2.915708,"median":6.704769,"eighty":20.348122,"marketCap":327560515},{"date":"2021-12-03","current":3.040038,"twenty":2.915708,"median":6.68181,"eighty":20.066475,"marketCap":327381650},{"date":"2021-12-10","current":3.034501,"twenty":2.915708,"median":6.662368,"eighty":19.430948,"marketCap":326785441},{"date":"2021-12-17","current":3.071042,"twenty":2.915708,"median":6.64523,"eighty":19.254671,"marketCap":330720460},{"date":"2021-12-23","current":3.308553,"twenty":2.915708,"median":6.625383,"eighty":19.073755,"marketCap":356298084},{"date":"2021-12-31","current":3.400457,"twenty":2.915708,"median":6.606688,"eighty":16.723898,"marketCap":366195247},{"date":"2022-01-07","current":3.472984,"twenty":2.919343,"median":6.578451,"eighty":16.626596,"marketCap":374005669},{"date":"2022-01-14","current":3.552155,"twenty":2.919343,"median":6.568608,"eighty":16.557095,"marketCap":382531532},{"date":"2022-01-21","current":3.322394,"twenty":2.919343,"median":6.547467,"eighty":16.358025,"marketCap":357788615},{"date":"2022-01-28","current":3.208344,"twenty":2.919343,"median":6.529528,"eighty":16.256255,"marketCap":345506580},{"date":"2022-02-04","current":3.232151,"twenty":2.919343,"median":6.508751,"eighty":15.898326,"marketCap":348070317},{"date":"2022-02-11","current":3.263708,"twenty":2.919343,"median":6.466565,"eighty":11.409791,"marketCap":351468742},{"date":"2022-02-18","current":3.280871,"twenty":2.919343,"median":6.450079,"eighty":11.240787,"marketCap":353317003},{"date":"2022-02-25","current":12.433566,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":372260958},{"date":"2022-03-04","current":13.224992,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":395956254},{"date":"2022-03-11","current":12.77047,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":382347869},{"date":"2022-03-18","current":12.921977,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":386883991},{"date":"2022-03-25","current":12.828282,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":384078766},{"date":"2022-04-01","current":13.354571,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":399835844},{"date":"2022-04-08","current":12.820308,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":383840010},{"date":"2022-04-14","current":12.993744,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":389032684},{"date":"2022-04-22","current":12.688736,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":379900741},{"date":"2022-04-29","current":17.212095,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":384810806},{"date":"2022-05-06","current":16.704667,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":373466230},{"date":"2022-05-13","current":16.934089,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":378595426},{"date":"2022-05-20","current":16.580508,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":370690415},{"date":"2022-05-27","current":17.884168,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":399836350},{"date":"2022-06-03","current":17.67094,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":395069215},{"date":"2022-06-10","current":16.766745,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":374854120},{"date":"2022-06-17","current":15.681711,"twenty":2.919343,"median":6.447959,"eighty":11.090035,"marketCap":350596013},{"date":"2022-06-24","current":16.36728,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":365923281},{"date":"2022-07-01","current":16.720861,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":373828292},{"date":"2022-07-08","current":16.445554,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":367673250},{"date":"2022-07-15","current":16.631791,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":371836955},{"date":"2022-07-22","current":17.271475,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":386138376},{"date":"2022-07-29","current":14.225005,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":388328413},{"date":"2022-08-05","current":14.419592,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":393640453},{"date":"2022-08-12","current":15.137553,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":413240047},{"date":"2022-08-19","current":14.755088,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":402799142},{"date":"2022-08-26","current":14.412882,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":393457279},{"date":"2022-09-02","current":13.996868,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":382100505},{"date":"2022-09-09","current":13.647953,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":372575468},{"date":"2022-09-16","current":13.701632,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":374040858},{"date":"2022-09-23","current":13.023931,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":355540306},{"date":"2022-09-30","current":12.574368,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":343267663},{"date":"2022-10-07","current":11.990606,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":327331544},{"date":"2022-10-14","current":11.990606,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":327331544},{"date":"2022-10-21","current":12.668306,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":345832096},{"date":"2022-10-28","current":47.063313,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":384460204},{"date":"2022-11-04","current":46.994272,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":383896204},{"date":"2022-11-11","current":46.557008,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":380324202},{"date":"2022-11-18","current":46.92523,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":383332203},{"date":"2022-11-25","current":47.086327,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":384648204},{"date":"2022-12-02","current":52.900735,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":432146107},{"date":"2022-12-09","current":52.761596,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":431009481},{"date":"2022-12-16","current":51.111923,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":417533297},{"date":"2022-12-23","current":50.636593,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":413650328},{"date":"2022-12-30","current":51.111923,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":417533297},{"date":"2023-01-06","current":50.524751,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":412736689},{"date":"2023-01-13","current":52.398109,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":428040152},{"date":"2023-01-20","current":52.062582,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":425299233},{"date":"2023-01-27","current":53.93594,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":440602697},{"date":"2023-02-03","current":55.809299,"twenty":2.915708,"median":6.446849,"eighty":11.079557,"marketCap":455906160},{"date":"2023-02-10","current":53.544492,"twenty":2.915708,"median":6.446849,"eighty":11.252955,"marketCap":437404958},{"date":"2023-02-17","current":53.796137,"twenty":2.915708,"median":6.446849,"eighty":11.413509,"marketCap":439460647},{"date":"2023-02-24","current":128.68653,"twenty":2.915708,"median":6.446849,"eighty":11.579173,"marketCap":406392061},{"date":"2023-03-03","current":127.739234,"twenty":2.915708,"median":6.446849,"eighty":11.990606,"marketCap":403400500},{"date":"2023-03-10","current":118.557749,"twenty":2.915708,"median":6.446849,"eighty":12.377097,"marketCap":374405370},{"date":"2023-03-17","current":116.517418,"twenty":2.915708,"median":6.446849,"eighty":12.477745,"marketCap":367962007},{"date":"2023-03-24","current":120.52521,"twenty":2.915708,"median":6.446849,"eighty":12.598701,"marketCap":380618612},{"date":"2023-03-31","current":125.771773,"twenty":2.919343,"median":6.447959,"eighty":12.647271,"marketCap":397187258},{"date":"2023-04-06","current":121.399637,"twenty":2.919343,"median":6.447959,"eighty":12.688736,"marketCap":383380053},{"date":"2023-04-14","current":120.233734,"twenty":2.915708,"median":6.446849,"eighty":12.772065,"marketCap":379698132},{"date":"2023-04-21","current":119.869389,"twenty":2.915708,"median":6.446849,"eighty":12.80436,"marketCap":378547531},{"date":"2023-04-28","current":-126.849934,"twenty":2.897351,"median":6.443519,"eighty":12.854671,"marketCap":385243250},{"date":"2023-05-05","current":-122.140714,"twenty":2.831392,"median":6.431682,"eighty":12.854671,"marketCap":370941349},{"date":"2023-05-12","current":-120.944722,"twenty":2.805083,"median":6.42712,"eighty":12.854671,"marketCap":367309121},{"date":"2023-05-19","current":-121.841716,"twenty":2.717649,"median":6.392161,"eighty":12.854671,"marketCap":370033292},{"date":"2023-05-26","current":-118.328489,"twenty":2.638693,"median":6.38271,"eighty":12.854671,"marketCap":359363621},{"date":"2023-06-02","current":-119.300232,"twenty":2.619975,"median":6.371369,"eighty":12.854671,"marketCap":362314806},{"date":"2023-06-09","current":-126.401437,"twenty":2.603508,"median":6.340175,"eighty":12.854671,"marketCap":383881164},{"date":"2023-06-16","current":-126.251938,"twenty":2.587987,"median":6.300422,"eighty":12.854671,"marketCap":383427135},{"date":"2023-06-23","current":-123.037709,"twenty":2.561672,"median":6.271941,"eighty":12.861886,"marketCap":373665521},{"date":"2023-06-30","current":-127.148932,"twenty":2.52744,"median":6.247121,"eighty":12.8691,"marketCap":386151307},{"date":"2023-07-07","current":-129.615666,"twenty":2.484455,"median":6.174013,"eighty":12.8691,"marketCap":393642778},{"date":"2023-07-14","current":-129.839915,"twenty":2.450137,"median":6.085252,"eighty":12.8691,"marketCap":394323821},{"date":"2023-07-21","current":-132.755146,"twenty":2.406229,"median":6.05996,"eighty":12.8691,"marketCap":403177379},{"date":"2023-07-28","current":-161.752735,"twenty":2.338835,"median":6.040739,"eighty":12.8691,"marketCap":397102965},{"date":"2023-08-04","current":-162.261166,"twenty":2.281295,"median":6.015447,"eighty":12.8691,"marketCap":398351163},{"date":"2023-08-11","current":-163.185731,"twenty":2.232789,"median":5.99319,"eighty":12.8691,"marketCap":400620970},{"date":"2023-08-18","current":-153.015516,"twenty":2.189386,"median":5.986666,"eighty":12.8691,"marketCap":375653091},{"date":"2023-08-25","current":-157.823254,"twenty":2.174701,"median":5.975709,"eighty":12.8691,"marketCap":387456089},{"date":"2023-09-01","current":-162.908362,"twenty":2.148117,"median":5.963756,"eighty":12.8691,"marketCap":399940028},{"date":"2023-09-08","current":-159.395015,"twenty":2.131801,"median":5.946822,"eighty":12.8691,"marketCap":391314761},{"date":"2023-09-15","current":-156.251493,"twenty":2.12018,"median":5.925903,"eighty":12.8691,"marketCap":383597416},{"date":"2023-09-22","current":-150.889016,"twenty":2.104064,"median":5.879086,"eighty":12.8691,"marketCap":370432535},{"date":"2023-09-29","current":-150.149364,"twenty":2.07911,"median":5.844121,"eighty":12.8691,"marketCap":368616689},{"date":"2023-10-06","current":-148.854973,"twenty":2.068722,"median":5.703152,"eighty":12.8691,"marketCap":365438959},{"date":"2023-10-13","current":-151.166386,"twenty":2.059562,"median":4.889301,"eighty":12.876314,"marketCap":371113477},{"date":"2023-10-20","current":-148.300234,"twenty":2.045711,"median":4.225689,"eighty":12.876314,"marketCap":364077074},{"date":"2023-10-27","current":-78.013278,"twenty":2.034,"median":4.126327,"eighty":12.884574,"marketCap":357768894},{"date":"2023-11-03","current":-82.365742,"twenty":2.02776,"median":4.070712,"eighty":12.884574,"marketCap":377729292},{"date":"2023-11-10","current":-80.436454,"twenty":2.020926,"median":4.041509,"eighty":12.884574,"marketCap":368881579},{"date":"2023-11-17","current":-81.772115,"twenty":2.002737,"median":4.025571,"eighty":12.884574,"marketCap":375006919},{"date":"2023-11-24","current":-82.613086,"twenty":1.994591,"median":4.016463,"eighty":12.884574,"marketCap":378863614},{"date":"2023-12-01","current":-83.602465,"twenty":1.986826,"median":4.009133,"eighty":12.884574,"marketCap":383400903},{"date":"2023-12-08","current":-86.719006,"twenty":1.934667,"median":3.996351,"eighty":12.881821,"marketCap":397693363},{"date":"2023-12-15","current":-85.234939,"twenty":1.896028,"median":3.972548,"eighty":12.881821,"marketCap":390887430},{"date":"2023-12-22","current":-84.839188,"twenty":1.829836,"median":3.964217,"eighty":12.881821,"marketCap":389072514},{"date":"2023-12-29","current":-87.164227,"twenty":1.806382,"median":3.952625,"eighty":12.884574,"marketCap":399735143},{"date":"2024-01-05","current":-84.479353,"twenty":1.792982,"median":3.947916,"eighty":12.887328,"marketCap":387422311},{"date":"2024-01-12","current":-83.837487,"twenty":1.77093,"median":3.940366,"eighty":12.887328,"marketCap":384478717},{"date":"2024-01-19","current":-82.257511,"twenty":1.755,"median":3.935238,"eighty":12.890081,"marketCap":377232946},{"date":"2024-01-26","current":-83.047499,"twenty":1.738092,"median":3.922922,"eighty":12.887328,"marketCap":380855831},{"date":"2024-02-02","current":-83.244996,"twenty":1.715664,"median":3.918938,"eighty":12.887328,"marketCap":381761553},{"date":"2024-02-09","current":-81.615646,"twenty":1.698237,"median":3.905536,"eighty":12.887328,"marketCap":374289352},{"date":"2024-02-16","current":-82.109388,"twenty":1.674366,"median":3.894669,"eighty":12.887328,"marketCap":376553655},{"date":"2024-02-23","current":68.467021,"twenty":1.662528,"median":3.885517,"eighty":12.89965,"marketCap":378622627},{"date":"2024-03-01","current":70.323055,"twenty":1.663549,"median":3.885976,"eighty":12.941115,"marketCap":388886493},{"date":"2024-03-08","current":70.158074,"twenty":1.663549,"median":3.885976,"eighty":12.987365,"marketCap":387974149},{"date":"2024-03-15","current":68.013324,"twenty":1.663549,"median":3.885976,"eighty":13.132891,"marketCap":376113682},{"date":"2024-03-22","current":69.951848,"twenty":1.663549,"median":3.885976,"eighty":13.201892,"marketCap":386833720},{"date":"2024-03-28","current":69.704377,"twenty":1.663549,"median":3.885976,"eighty":13.288302,"marketCap":385465204},{"date":"2024-04-05","current":69.291925,"twenty":1.662528,"median":3.885517,"eighty":13.603668,"marketCap":383184345},{"date":"2024-04-12","current":69.663132,"twenty":1.662528,"median":3.885517,"eighty":13.906955,"marketCap":385237118},{"date":"2024-04-19","current":68.961963,"twenty":1.662528,"median":3.885517,"eighty":14.207559,"marketCap":381359658},{"date":"2024-04-26","current":70.570526,"twenty":1.663549,"median":3.885976,"eighty":14.390069,"marketCap":390255009},{"date":"2024-05-03","current":23.085191,"twenty":1.663549,"median":3.885976,"eighty":14.435696,"marketCap":400874341},{"date":"2024-05-10","current":22.794479,"twenty":1.663549,"median":3.885976,"eighty":14.675911,"marketCap":395826124},{"date":"2024-05-17","current":23.534473,"twenty":1.663549,"median":3.885976,"eighty":14.781927,"marketCap":408676132},{"date":"2024-05-24","current":23.164476,"twenty":1.663549,"median":3.885976,"eighty":15.511129,"marketCap":402251128},{"date":"2024-05-31","current":23.349475,"twenty":1.663549,"median":3.885976,"eighty":16.037991,"marketCap":405463630},{"date":"2024-06-07","current":23.706258,"twenty":1.663549,"median":3.885976,"eighty":16.238803,"marketCap":411659169},{"date":"2024-06-14","current":23.032334,"twenty":1.662528,"median":3.885517,"eighty":16.36728,"marketCap":399956484},{"date":"2024-06-21","current":22.715194,"twenty":1.661507,"median":3.885057,"eighty":16.496836,"marketCap":394449337},{"date":"2024-06-28","current":22.847336,"twenty":1.660032,"median":3.882181,"eighty":16.578349,"marketCap":396743982},{"date":"2024-07-05","current":23.111619,"twenty":1.660032,"median":3.882181,"eighty":16.628552,"marketCap":401333270},{"date":"2024-07-12","current":23.904471,"twenty":1.660032,"median":3.882181,"eighty":16.717622,"marketCap":415101135},{"date":"2024-07-15","current":24.115898,"twenty":1.660032,"median":3.882181,"eighty":16.748391,"marketCap":418772566},{"date":"2024-08-02","current":27.706095,"twenty":1.635517,"median":3.872211,"eighty":16.940027,"marketCap":464021671},{"date":"2024-08-09","current":27.360976,"twenty":1.635517,"median":3.872211,"eighty":17.148397,"marketCap":458241630},{"date":"2024-08-16","current":26.532692,"twenty":1.635517,"median":3.872211,"eighty":17.273095,"marketCap":444369532},{"date":"2024-08-23","current":25.538752,"twenty":1.635517,"median":3.872211,"eighty":17.472288,"marketCap":427723015},{"date":"2024-08-30","current":26.11855,"twenty":1.635517,"median":3.872211,"eighty":17.655286,"marketCap":437433483},{"date":"2024-09-06","current":26.560302,"twenty":1.635517,"median":3.872211,"eighty":17.795098,"marketCap":444831936},{"date":"2024-09-13","current":26.104746,"twenty":1.635517,"median":3.872211,"eighty":22.53548,"marketCap":437202282},{"date":"2024-09-20","current":26.836396,"twenty":1.635517,"median":3.872211,"eighty":22.868478,"marketCap":449455968},{"date":"2024-09-27","current":26.077136,"twenty":1.635517,"median":3.872211,"eighty":22.945121,"marketCap":436739879},{"date":"2024-10-04","current":33.947939,"twenty":1.635517,"median":3.872211,"eighty":23.03762,"marketCap":568560075},{"date":"2024-10-11","current":33.232115,"twenty":1.635517,"median":3.872211,"eighty":23.087834,"marketCap":556571460},{"date":"2024-10-18","current":34.735345,"twenty":1.635517,"median":3.872211,"eighty":23.312475,"marketCap":581747552},{"date":"2024-10-25","current":29.130994,"twenty":1.635517,"median":3.872211,"eighty":23.457831,"marketCap":591038729},{"date":"2024-10-31","current":28.839987,"twenty":1.635517,"median":3.872211,"eighty":23.523902,"marketCap":585134506},{"date":"2024-11-08","current":30.154925,"twenty":1.635353,"median":3.869313,"eighty":23.69833,"marketCap":611813282},{"date":"2024-11-15","current":28.810438,"twenty":1.635353,"median":3.869313,"eighty":25.743062,"marketCap":584534983},{"date":"2024-11-22","current":29.046832,"twenty":1.635353,"median":3.869313,"eighty":26.124072,"marketCap":589331167},{"date":"2024-11-29","current":30.154925,"twenty":1.635353,"median":3.869313,"eighty":26.179291,"marketCap":611813282},{"date":"2024-12-06","current":30.302671,"twenty":1.635353,"median":3.869313,"eighty":26.278686,"marketCap":614810898},{"date":"2024-12-13","current":29.741237,"twenty":1.635353,"median":3.869313,"eighty":26.463669,"marketCap":603419959},{"date":"2024-12-20","current":28.692242,"twenty":1.635353,"median":3.869313,"eighty":26.565824,"marketCap":582136891},{"date":"2024-12-27","current":28.928635,"twenty":1.635353,"median":3.869313,"eighty":26.648652,"marketCap":586933075},{"date":"2025-01-03","current":28.618369,"twenty":1.635353,"median":3.869313,"eighty":26.902659,"marketCap":580638083},{"date":"2025-01-10","current":28.529721,"twenty":1.635189,"median":3.866415,"eighty":27.305757,"marketCap":578839514},{"date":"2025-01-17","current":29.416196,"twenty":1.635189,"median":3.866415,"eighty":28.328787,"marketCap":596825206},{"date":"2025-01-24","current":28.500172,"twenty":1.635189,"median":3.866415,"eighty":28.514947,"marketCap":578239991},{"date":"2025-01-31","current":28.884311,"twenty":1.635189,"median":3.866415,"eighty":28.662692,"marketCap":586033791},{"date":"2025-02-07","current":29.903758,"twenty":1.635189,"median":3.866415,"eighty":28.701106,"marketCap":606717336},{"date":"2025-02-14","current":30.553839,"twenty":1.635189,"median":3.87366,"eighty":28.795664,"marketCap":619906844},{"date":"2025-02-21","current":-308.304352,"twenty":1.633385,"median":3.876558,"eighty":28.828167,"marketCap":605818052},{"date":"2025-02-28","current":-302.86968,"twenty":1.620431,"median":3.876558,"eighty":28.828167,"marketCap":595138922},{"date":"2025-03-07","current":-303.355828,"twenty":1.596408,"median":3.877061,"eighty":28.834077,"marketCap":596094202},{"date":"2025-03-14","current":-292.66059,"twenty":1.581759,"median":3.877061,"eighty":28.834077,"marketCap":575078060},{"date":"2025-03-21","current":-306.920907,"twenty":1.5705,"median":3.877061,"eighty":28.834077,"marketCap":603099582},{"date":"2025-03-28","current":-310.972133,"twenty":1.558246,"median":3.877061,"eighty":28.834077,"marketCap":611060242},{"date":"2025-04-04","current":-306.272711,"twenty":1.543748,"median":3.877061,"eighty":28.834077,"marketCap":601825877},{"date":"2025-04-11","current":-278.076176,"twenty":1.530522,"median":3.876558,"eighty":28.828167,"marketCap":546419685},{"date":"2025-04-17","current":-291.526247,"twenty":1.509546,"median":3.876558,"eighty":28.828167,"marketCap":572849075},{"date":"2025-04-25","current":-301.545056,"twenty":1.473097,"median":3.877061,"eighty":28.834077,"marketCap":592536036},{"date":"2025-05-02","current":-107.493527,"twenty":-78.546741,"median":3.877061,"eighty":28.834077,"marketCap":596159102},{"date":"2025-05-09","current":-104.932642,"twenty":-80.51082,"median":3.877061,"eighty":28.834077,"marketCap":581956431},{"date":"2025-05-16","current":-108.614489,"twenty":-81.167171,"median":3.877061,"eighty":28.834077,"marketCap":602375955},{"date":"2025-05-23","current":-105.407719,"twenty":-81.597471,"median":3.877061,"eighty":28.834077,"marketCap":584591209},{"date":"2025-05-30","current":-109.148951,"twenty":-81.804937,"median":3.877061,"eighty":28.834077,"marketCap":605340080},{"date":"2025-06-06","current":-108.792643,"twenty":-82.099513,"median":3.877061,"eighty":28.834077,"marketCap":603363997},{"date":"2025-06-13","current":-109.683412,"twenty":-82.35626,"median":3.877061,"eighty":28.834077,"marketCap":608304204},{"date":"2025-06-20","current":-107.308027,"twenty":-82.860431,"median":3.877564,"eighty":28.839987,"marketCap":595130318},{"date":"2025-06-27","current":-102.73541,"twenty":-83.047499,"median":3.877564,"eighty":28.839987,"marketCap":569770586},{"date":"2025-07-03","current":-105.051411,"twenty":-83.244996,"median":3.877564,"eighty":28.839987,"marketCap":582615126},{"date":"2025-07-11","current":-103.507411,"twenty":-83.701403,"median":3.877564,"eighty":28.839987,"marketCap":574052099},{"date":"2025-07-18","current":-103.091718,"twenty":-84.33123,"median":3.877564,"eighty":28.839987,"marketCap":571746669},{"date":"2025-07-25","current":-104.635719,"twenty":-84.591843,"median":3.877564,"eighty":28.839987,"marketCap":580309695},{"date":"2025-08-01","current":-18.039372,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":543832961},{"date":"2025-08-08","current":-17.951962,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":541197792},{"date":"2025-08-15","current":-18.039372,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":543832961},{"date":"2025-08-22","current":-18.170488,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":547785714},{"date":"2025-08-29","current":-18.782363,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":566231895},{"date":"2025-09-05","current":-18.946258,"twenty":-84.799613,"median":3.879424,"eighty":28.842942,"marketCap":571172837},{"date":"2025-09-12","current":-18.115857,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":546138733},{"date":"2025-09-19","current":-17.984741,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":542185980},{"date":"2025-09-26","current":-17.449351,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":526045571},{"date":"2025-10-03","current":-17.624172,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":531315909},{"date":"2025-10-10","current":-16.881181,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":508916974},{"date":"2025-10-17","current":-17.110634,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":515834292},{"date":"2025-10-24","current":-17.831772,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":537574435},{"date":"2025-10-31","current":-16.186145,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":541588428},{"date":"2025-11-07","current":-16.524768,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":552918730},{"date":"2025-11-14","current":-16.84404,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":563601586},{"date":"2025-11-21","current":-16.660217,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":557450851},{"date":"2025-11-28","current":-17.49226,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":585291021},{"date":"2025-12-05","current":-17.366486,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":581082623},{"date":"2025-12-12","current":-17.085913,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":571694659},{"date":"2025-12-19","current":-17.917957,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":599534829},{"date":"2025-12-26","current":-17.385836,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":581730069},{"date":"2026-01-02","current":-17.811532,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":595973877},{"date":"2026-01-09","current":-17.888932,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":598563660},{"date":"2026-01-16","current":-17.647059,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":590470587},{"date":"2026-01-23","current":-17.356811,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":580758900},{"date":"2026-01-30","current":-16.960139,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":567486261},{"date":"2026-02-06","current":-17.966331,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":601153443},{"date":"2026-02-13","current":-17.898607,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":598887383},{"date":"2026-02-20","current":-18.673595,"twenty":-84.789719,"median":3.877564,"eighty":28.839987,"marketCap":624818493},{"date":"2026-02-27","current":63.009191,"twenty":-84.789719,"median":3.889598,"eighty":28.94341,"marketCap":635888753},{"date":"2026-03-06","current":63.299556,"twenty":-84.789719,"median":3.894669,"eighty":29.017282,"marketCap":638819116},{"date":"2026-03-13","current":60.912111,"twenty":-84.789719,"median":3.894669,"eighty":29.130994,"marketCap":614725021},{"date":"2026-03-20","current":60.524957,"twenty":-84.789719,"median":3.894669,"eighty":29.26845,"marketCap":610817870},{"date":"2026-03-27","current":58.782768,"twenty":-84.789719,"median":3.904811,"eighty":29.475295,"marketCap":593235693},{"date":"2026-04-02","current":59.750651,"twenty":-84.789719,"median":3.904811,"eighty":29.563942,"marketCap":603003569},{"date":"2026-04-10","current":62.686563,"twenty":-84.789719,"median":3.904811,"eighty":29.859434,"marketCap":632632794},{"date":"2026-04-17","current":63.783497,"twenty":-84.789719,"median":3.904811,"eighty":29.933307,"marketCap":643703054},{"date":"2026-04-24","current":63.170505,"twenty":-84.789719,"median":3.904811,"eighty":30.154925,"marketCap":637516733},{"date":"2026-05-01","current":48.740221,"twenty":-84.789719,"median":3.91278,"eighty":30.287897,"marketCap":684117738},{"date":"2026-05-08","current":48.860567,"twenty":-84.789719,"median":3.919301,"eighty":30.509515,"marketCap":685806917},{"date":"2026-05-15","current":48.331044,"twenty":-84.789719,"median":3.924372,"eighty":33.679505,"marketCap":678374527},{"date":"2026-05-22","current":49.293813,"twenty":-84.789719,"median":3.938861,"eighty":33.965834,"marketCap":691887964},{"date":"2026-05-29","current":50.184375,"twenty":-84.799613,"median":3.947916,"eighty":34.753241,"marketCap":704387893},{"date":"2026-06-05","current":48.306974,"twenty":-84.789719,"median":3.964217,"eighty":45.268233,"marketCap":678036691},{"date":"2026-06-12","current":50.136237,"twenty":-84.789719,"median":3.973635,"eighty":46.188787,"marketCap":703712221},{"date":"2026-06-18","current":49.72706,"twenty":-84.789719,"median":4.011306,"eighty":46.372898,"marketCap":697969010},{"date":"2026-06-26","current":50.882383,"twenty":-84.799613,"median":4.122148,"eighty":46.92523,"marketCap":714185134},{"date":"2026-07-02","current":51.700738,"twenty":-84.799613,"median":11.826213,"eighty":47.00808,"marketCap":725671556},{"date":"2026-07-10","current":51.580392,"twenty":-84.799613,"median":12.122718,"eighty":47.945936,"marketCap":723982376},{"date":"2026-07-17","current":53.818831,"twenty":-84.799613,"median":12.433513,"eighty":48.650012,"marketCap":755401117},{"date":"2026-07-24","current":52.495023,"twenty":-84.799613,"median":12.533241,"eighty":48.870195,"marketCap":736820141},{"date":"2026-07-31","current":15.595763,"twenty":-84.809507,"median":12.628047,"eighty":48.908705,"marketCap":819806878},{"date":"2026-08-07","current":15.545845,"twenty":-84.809507,"median":12.664813,"eighty":48.908705,"marketCap":817182897},{"date":"2026-08-14","current":15.659943,"twenty":-84.809507,"median":12.721986,"eighty":48.908705,"marketCap":823180569},{"date":"2026-08-21","current":15.674205,"twenty":-84.809507,"median":12.786418,"eighty":48.908705,"marketCap":823930278},{"date":"2026-08-28","current":15.289125,"twenty":-84.809507,"median":12.828282,"eighty":48.908705,"marketCap":803688133},{"date":"2026-09-04","current":15.274863,"twenty":-84.809507,"median":12.921977,"eighty":48.908705,"marketCap":802938424},{"date":"2026-09-11","current":14.854126,"twenty":-84.809507,"median":12.949886,"eighty":48.908705,"marketCap":780822006}],"updateTime":1789393353705},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"CTO\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2666810285","title":"科大訊飛智能汽車CTO雷琴輝：要PUA大模型，才會給你認真思考","url":"https://stock-news.laohu8.com/highlight/detail?id=2666810285","media":"睿见Economy","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2666810285?lang=zh_tw&edition=fundamental","pubTime":"2026-09-09 17:56","pubTimestamp":1788947760,"startTime":"0","endTime":"0","summary":"专题：聚合智能产业发展大会在武汉光谷由聚合智能产业创新中心、湖北科投联合主办的聚合智能产业发展大会2026于9月9日举行，科大讯飞智能汽车CTO、副总经理雷琴辉表示，本质上，以ChatGPT为代表的通用大模型，是基于深度神经网络构建的通用对话式AI系统。他谈到，大模型的成长逻辑，其实和人类成才的路径高度一致。","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://finance.sina.com.cn/hy/hyjz/2026-09-09/doc-inirfqcq8909967.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":["BK0129","BK0026","BK0089","LU1066053197.SGD","161033","LU1066051811.HKD","BK0196","WISE","BK0133","BK4160","BK0109","LU0405327148.USD","LU0405327494.USD","CARZ","GPTZ","LU1066051225.USD","BK0126","399432","SGXZ49509284.SGD","BK0028","BK0183","LU1066051498.USD","EPAI","SGXZ81163826.USD","002230","LRNZ","HAIL","BK0231","CTO","BK0188"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2662005727","title":"麻吉大哥：擬 100 萬美元收購 Friend.tech，通過 CTO 重啓項目","url":"https://stock-news.laohu8.com/highlight/detail?id=2662005727","media":"链捕手","labels":["corporation","merge"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2662005727?lang=zh_tw&edition=fundamental","pubTime":"2026-08-27 12:29","pubTimestamp":1787804989,"startTime":"0","endTime":"0","summary":" ChainCatcher 消息，黄立成发文表示，目前 Friend.tech 市值已不足 30 万美元，其已向 Friend.tech 创始人 Racer 及 Paradigm 提出 100 万美元的收购要约。黄立成表示，若收购完成，可通过社区接管 CTO 的方式重启 Friend.tech。受此发言影响，Friend.tech 市值已反弹突破 220 万美元。 ","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.chaincatcher.com/article/2285872","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation,merge","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4160","LU1066053197.SGD","LU1066051498.USD","CTO","LU1066051225.USD","LU1066051811.HKD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2662272264","title":"Ledger CTO 回應漏洞 FUD：問題曝出前已修復，用户及時更新即可安全使用","url":"https://stock-news.laohu8.com/highlight/detail?id=2662272264","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2662272264?lang=zh_tw&edition=fundamental","pubTime":"2026-08-27 11:06","pubTimestamp":1787799963,"startTime":"0","endTime":"0","summary":" ChainCatcher 消息，硬件钱包厂商 Ledger 首席技术官 Charles Guillemet 发文表示，近期市场上出现针对 Ledger 的 “FUD”，一家智能合约安全公司声称发现 Ledger 以太坊应用存在漏洞。Guillemet 表示，Ledger 以太坊应用此前确实存在与部分 Clear Signing 流程相关的漏洞，但该漏洞已由 Ledger 旗下安全研究团队 Donjon 通过 AI 驱动的漏洞研究工具发现，并已于两周前完成修复和部署。用户只要及时更新 Ledger 设备固件及应用，即可获得保护。相关安全公司是在 Ledger 完成修复后才联系其漏洞赏金计划，并未遵循负责任披露流程，甚至没有与漏洞赏金团队进行沟通，却在随后发布内容时暗示该问题仍未得到解决。这种做法并非真正的安全研究，而是在制造恐慌以获取关注。AI 正在改变网络安全格局，攻击者和防御者都可以借助 AI 提升效率，而 AI 驱动的安全研究只有在遵循负责任披露、发布前核实等基本安全原则的情况下，才能真正提升整个生态的安全性。Guillemet 最后提醒 Ledger 用户，保持设备固件、Ledger 应用以及相关软件处于最新版本，即可自动获得最新的安全修复和研究成果。用户无需受到相关 “FUD” 影响，及时更新软件并保持安全习惯即可。 ","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.chaincatcher.com/article/2285856","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":["LU1066051225.USD","LU1066051811.HKD","FUD","CTO","LU1066051498.USD","LU1066053197.SGD","BK4160"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2662979335","title":"對話平安集團CTO王曉航：超前半步，中國平安的AI\"務實主義\"","url":"https://stock-news.laohu8.com/highlight/detail?id=2662979335","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2662979335?lang=zh_tw&edition=fundamental","pubTime":"2026-08-26 15:01","pubTimestamp":1787727705,"startTime":"0","endTime":"0","summary":"金融保险行业处于AI突破的前夕","market":"other","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://wallstreetcn.com/articles/3780330","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":["02318","LU0314109678.HKD","LU1655091459.SGD","LU1048596156.SGD","LU1508157978.USD","LU0821914370.USD","AIPO","LU1981816686.USD","LU0898667661.SGD","LU0067412154.USD","LU0164880469.USD","LU0871576103.HKD","PAImain","LU1769817096.USD","LU","IE00BVYPNQ40.USD","LU0417516571.SGD","BK1610","82318","LU0918141887.USD","LU1224444064.USD","BK0188","LU0828237510.HKD","LU1366334651.USD","LU0890818403.SGD","CHAT","PNGAY","ARTY","LU2348773727.SGD","LU0878005551.USD","QTOC","HPAD.SI","LU0348825331.USD","LU0348788117.USD","HK0001040143.USD","LU1064130708.USD","LU0648948544.HKD","LU1770034418.SGD","LU0675040207.SGD","BK4504","601318","LU0051755006.USD","LU1044875133.USD","LU1934453819.USD","VTHR","LU0140636845.USD","LU0072462343.USD","CTO","AGIX","03145"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2662142200","title":"具身江湖志（一）：學術派下山記","url":"https://stock-news.laohu8.com/highlight/detail?id=2662142200","media":"蓝鲸财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2662142200?lang=zh_tw&edition=fundamental","pubTime":"2026-08-25 10:14","pubTimestamp":1787624045,"startTime":"0","endTime":"0","summary":"不止这一场比赛，具身智能已经成为科技领域中最拥挤的一条赛道，新秀不断涌现。无论是想在机器人赛道或展会上增加一点谈资，抑或深度了解这个领域，是时候翻开这部《具身江湖志》了。第一篇章的主角们，是具身江湖中最根正苗红的一个派别：学术派。那时的学术派还没想过要下山。从自动化到大模型，具身智能江湖的学科入口换了。学术派的价值也正是被这次学科位移抬起来的。于是，学术派的下山创业潮便来了。","market":"us","thumbnail":"","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.lanjinger.com/d/1787550483852713446","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":"lanjinger_stock","symbols":["ROBO","LU1066053197.SGD","LU1066051498.USD","BK4160","LU1066051811.HKD","PBOT","ROBT","WDRN","CTO","KOMP","LU1066051225.USD","RTOO"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2660407671","title":"萬拿機器人CTO祖紅磊：讓靈巧手從「按照指令抓」逐步走向「根據現場情況自己判斷怎麼抓」","url":"https://stock-news.laohu8.com/highlight/detail?id=2660407671","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2660407671?lang=zh_tw&edition=fundamental","pubTime":"2026-08-20 16:54","pubTimestamp":1787216040,"startTime":"0","endTime":"0","summary":"“AI大模型赋能机器人与具身智能产业新范式专题活动”在博览会同期举办。万拿机器人CTO祖红磊出席“圆桌对话： 场景应用创新与产业链协同”并参与讨论。所以对我们来说，真实场景的价值不只是验证机器人“能不能抓”，而是通过一次次真实任务，把感知、决策和执行真正打通，让灵巧手从“按照指令抓”逐步走向“根据现场情况自己判断怎么抓”，最终持续提升整体抓取成功率和稳定作业能力。","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/roll/2026-08-20/doc-ininyfvh7933845.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":["LU1066051498.USD","LU1066053197.SGD","LU1066051225.USD","PBOT","BK4160","KOMP","LU1066051811.HKD","CTO","ROBO"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2660472376","title":"貝塔無限聯合創始人兼CTO陶帥：以人為中心——面向人機共融場景的具身技術新範式","url":"https://stock-news.laohu8.com/highlight/detail?id=2660472376","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2660472376?lang=zh_tw&edition=fundamental","pubTime":"2026-08-20 09:18","pubTimestamp":1787188680,"startTime":"0","endTime":"0","summary":"“AI大模型赋能机器人与具身智能产业新范式专题活动”在博览会同期举办。贝塔无限联合创始人兼CTO陶帅出席并演讲。我是来自贝塔无限的陶帅，很高兴能有这个机会来分享一下我们在具身技术方面的一些思考。我今天的主题是“以人为中心-面向人机共融场景的具身技术新范式”。对于具身整体的场景，我这边会划分为两大部分：第一部分，我们整体是围绕“任务”来展开的，是以任务为中心的具身技术的这套范式。","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://finance.sina.com.cn/roll/2026-08-20/doc-ininxkrv6775124.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":["LU1066051498.USD","CTO","LU1066051811.HKD","LU1066053197.SGD","BK4160","LU1066051225.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2660413575","title":"減持 92% 仍持 200 萬枚：Ripple 前 CTO 澄清未清倉","url":"https://stock-news.laohu8.com/highlight/detail?id=2660413575","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2660413575?lang=zh_tw&edition=fundamental","pubTime":"2026-08-19 08:39","pubTimestamp":1787099945,"startTime":"0","endTime":"0","summary":"据 Woofun AI 消息，Ripple 荣休首席技术官大卫·施瓦茨  明确否认清仓传闻，确认当前仍持有约 200 万枚 XRP，维持对生态系统的长期信心。针对持仓大幅缩减的疑问，施瓦茨在 X 平台指出，其 XRP 持有量已从峰值 2600 万个降至目前水平，降幅达 92%。尽管角色转变，他仍保留 Ripple 股权及大量 XRP。此次 XRP 持仓披露延续了该思路，强调不确定性下的资产保全，而非盲目乐观的价格预测。","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":"http://www.zhitongcaijing.com/content/detail/1481708.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_zhitongcaijing","symbols":["CTO","LU1066053197.SGD","LU1066051498.USD","LU1066051811.HKD","LU1066051225.USD","BK4160"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2658567919","title":"Meta CTO：AI 省下的時間，不是用來休假的","url":"https://stock-news.laohu8.com/highlight/detail?id=2658567919","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2658567919?lang=zh_tw&edition=fundamental","pubTime":"2026-08-09 11:42","pubTimestamp":1786246960,"startTime":"0","endTime":"0","summary":null,"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":"https://www.zhitongcaijing.com/immediately.html?type=usstock","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":"live_zhitongcaijing","symbols":["AGIX","CHAT","AIPO","LU1066053197.SGD","VTHR","QTOC","ARTY","LU1066051225.USD","LU1066051498.USD","BK4160","LU1066051811.HKD","CTO"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2657660158","title":"神州控股科捷CTO張虎坡：AI開始進入供應鏈執行層面","url":"https://stock-news.laohu8.com/highlight/detail?id=2657660158","media":"中国经营报","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2657660158?lang=zh_tw&edition=fundamental","pubTime":"2026-08-07 09:47","pubTimestamp":1786067250,"startTime":"0","endTime":"0","summary":"今年我们看到的是AI开始进入到工业领域的执行层面了。“8月5日，在由中国经营报社举办的”2026中国数字产业生态大会“上，神州控股科捷CTO张虎坡在主题为”AI智能体技术赋能与产业落地的圆桌讨论中表示，我们是一家有场景又有科技能力的公司。我们今年观察到的一个趋势是，在AI领域之前是说得多、做得少。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"stock_eastmoney","url":"http://finance.eastmoney.com/a/202608073834813049.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/202608073834813049.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":["ARTY","AGIX","BK1155","LU0348825331.USD","LU1066051811.HKD","AIPO","LU1066051225.USD","LU1066053197.SGD","00861","LU0417516902.SGD","BK4160","CTO","LU1066051498.USD","QTOC","CHAT","VTHR","BK1586"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2657368894","title":"曝鹿明機器人CTO丁琰已於近期離職，官方暫無回應","url":"https://stock-news.laohu8.com/highlight/detail?id=2657368894","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2657368894?lang=zh_tw&edition=fundamental","pubTime":"2026-08-06 15:13","pubTimestamp":1786000404,"startTime":"0","endTime":"0","summary":null,"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":"https://www.zhitongcaijing.com/immediately.html?type=usstock","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":"live_zhitongcaijing","symbols":["CTO","KOMP","LU1066053197.SGD","LU1066051498.USD","LU1066051811.HKD","LU1066051225.USD","PBOT","BK4160","ROBO"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2657596306","title":"Ledger CTO：Coldcard 漏洞警示硬件錢包安全需適應 AI 時代","url":"https://stock-news.laohu8.com/highlight/detail?id=2657596306","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2657596306?lang=zh_tw&edition=fundamental","pubTime":"2026-08-05 08:45","pubTimestamp":1785890756,"startTime":"0","endTime":"0","summary":" ChainCatcher 消息，据 Decrypt 报道，Ledger 首席技术官 Charles Guillemet 表示，Coldcard 漏洞事件暴露了硬件钱包随机数生成的弱点，并强调 AI 正重塑网络安全攻防格局。Guillemet 指出，硬件钱包的安全模型“生死取决于随机数”，此次事件以最昂贵的方式证明了这一点。Ledger 表示其硬件钱包未受影响，因其助记词由通过认证的安全元件内的硬件随机数生成器生成，无软件回退路径，每次生成完整的 256 位随机数。Guillemet 认为，开源代码若未经充分审查并不等同于安全，AI 正使攻击者能以机器速度扫描代码和识别漏洞，防御也必须以同样速度推进，这需要依赖安全设计、硬件和数学。Guillemet 建议用户在选择硬件钱包时应了解其随机数生成方式及是否经过独立认证。 ","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://www.chaincatcher.com/article/2280563","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":["AGIX","CHAT","AIPO","LU1066053197.SGD","VTHR","QTOC","ARTY","LU1066051225.USD","LU1066051498.USD","BK4160","LU1066051811.HKD","CTO"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2655687378","title":"九方智投CTO邱林：未來3～5年金融AI將邁向真正的智能自動化","url":"https://stock-news.laohu8.com/highlight/detail?id=2655687378","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2655687378?lang=zh_tw&edition=fundamental","pubTime":"2026-07-30 18:35","pubTimestamp":1785407751,"startTime":"0","endTime":"0","summary":null,"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":"https://www.zhitongcaijing.com/immediately.html?type=usstock","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":"live_zhitongcaijing","symbols":["BK4160","CTO","LU1066051498.USD","LU1066051811.HKD","LU1066053197.SGD","LU1066051225.USD","PBOT"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2653747856","title":"蜜度CTO劉益東：大模型競賽轉向「真落地」，深耕辦公垂類AI","url":"https://stock-news.laohu8.com/highlight/detail?id=2653747856","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2653747856?lang=zh_tw&edition=fundamental","pubTime":"2026-07-23 19:52","pubTimestamp":1784807523,"startTime":"0","endTime":"0","summary":null,"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":"https://www.zhitongcaijing.com/immediately.html?type=usstock","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":"live_zhitongcaijing","symbols":["EPAI","AIPO","CTO","LU1066051225.USD","QTOC","AGIX","LU1066053197.SGD","LU1066051811.HKD","ARTY","CHAT","WISE","LRNZ","BK4160","LU1066051498.USD","GPTZ","VTHR"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2652256609","title":"直擊WAIC丨螞蟻大安全CTO陳亮：智能體越強，信任風險越不容忽視","url":"https://stock-news.laohu8.com/highlight/detail?id=2652256609","media":"新浪科技","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2652256609?lang=zh_tw&edition=fundamental","pubTime":"2026-07-19 14:12","pubTimestamp":1784441520,"startTime":"0","endTime":"0","summary":"新浪科技讯 7月19日下午消息，7月17日至20日，2026世界人工智能大会暨人工智能全球治理高级别会议在上海举行。大会期间，蚂蚁集团副总裁、蚂蚁大安全CTO陈亮认为，智能体正在成为AI时代的新型操作系统，需要一套与之相适配的信任基座。为此，蚂蚁提出从“原生安全”和“可信互联”两个方向构建智能体信任基础。","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/2026-07-19/doc-iniiimti0278163.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":["BK4160","LU1066051811.HKD","CTO","LU1066051225.USD","LU1066053197.SGD","LU1066051498.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2651924314","title":"前OpenAI CTO的首款AI大模型：架構借鑑DeepSeek-V3，使用Kimi K2.5改進","url":"https://stock-news.laohu8.com/highlight/detail?id=2651924314","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2651924314?lang=zh_tw&edition=fundamental","pubTime":"2026-07-16 10:01","pubTimestamp":1784167308,"startTime":"0","endTime":"0","summary":"Thinking Machines Lab发布首款基础模型Inkling，架构参考DeepSeek-V3，训练后阶段采用Kimi K2.5数据优化。模型以开放权重形式发布，支持用户自主部署与微调，配套推出Tinker企业定制平台。公司由前OpenAI CTO Mira Murati创立，已完成20亿美元种子轮融资，估值120亿美元。","market":"fut","thumbnail":"https://static.tigerbbs.com/036b31d2930c33ad5b8d67f38195f24f","type":0,"news_type":0,"thumbnails":["https://static.tigerbbs.com/036b31d2930c33ad5b8d67f38195f24f"],"rights":null,"property":["earning"],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wallstreetcn.com/articles/3777067","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["QTOC","CHAT","AGIX","ARTY","LRNZ","AIPO","CTO","WISE","VTHR"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2651464167","title":"前京東集團副總裁、瑞幸咖啡CTO何剛再創業，殺入家庭陪伴機器人賽道","url":"https://stock-news.laohu8.com/highlight/detail?id=2651464167","media":"雷峰网","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2651464167?lang=zh_tw&edition=fundamental","pubTime":"2026-07-13 10:36","pubTimestamp":1783910166,"startTime":"0","endTime":"0","summary":"““银发经济 + 具身智能”交叉赛道，再添云计算大牛。 ”作者丨王薇编辑丨刘伟雷峰网独家获悉，前京东集团副总裁、瑞幸咖啡 CTO 何刚再创业 ，成立公司“跃灵智伴科技”，瞄准 AI 陪伴机器人赛道，聚焦国内家庭场景，打造面向银发人群的 AI 智能养老机器人。对此消息，雷峰网联系到何刚本人，他表示，情况属实。2012 年，离开盛大后，何刚火速加入京东，担任京东集团技术副总裁兼首席科学家，并开始逐步负责京东的云计算业务。","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":"https://tech.ifeng.com/c/8uiovLcFI9K","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":["BK4504","LU0307460666.USD","BK4614","SG9999002463.SGD","LU1066051811.HKD","BK4220","HK0000306701.USD","BK4160","HK0000320223.HKD","LU1188198961.HKD","09618","LU0588546209.SGD","BK4610","BK4585","HK0000306685.HKD","KJD","LU0463099449.HKD","IE00BGV7N243.SGD","BK4209","LU1066051225.USD","LU1688375341.USD","KOMP","BK4122","LU0244354667.USD","LU0106959298.USD","BK4526","LU1880383366.USD","BK4509","JD","BK4505","BK4524","BK4588","BK4531","BK4558","LU1066053197.SGD","HK0000320264.USD","IE0008368742.USD","LU1066051498.USD","161022","LKNCY","ROBO","BK4551","BK4503","CTO","BK4579","LU0326950275.SGD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2647250321","title":"滴滴自動駕駛CTO盛克華：深化AI創新，加速Robotaxi智能湧現","url":"https://stock-news.laohu8.com/highlight/detail?id=2647250321","media":"新浪科技","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2647250321?lang=zh_tw&edition=fundamental","pubTime":"2026-06-29 16:03","pubTimestamp":1782720180,"startTime":"0","endTime":"0","summary":"新浪科技讯 6月29日下午消息，近日，香港科技大学举办首届机器人行业高峰会，滴滴自动驾驶CTO盛克华受邀出席并发表主题演讲，与学界、业界代表共探前沿技术落地与产学研协同发展。　　盛克华表示，Robotaxi是物理AI的首个落地场景，需要用技术创新解决各类复杂长尾问题。未来滴滴自动驾驶将持续联动顶尖科研力量与优质人才资源，坚持负责任的科技创新理念，稳步推动自动驾驶发展。","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/tob/2026-06-29/doc-inifaiss5411087.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":["LU1066053197.SGD","BK4230","BK4022","ARTY","LU1066051498.USD","AGIX","LU1066051225.USD","LU1066051811.HKD","BK4160","AIPO","CHAT","CTO","DIDIY"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2645390892","title":"對話雷諾CTO布魯內：22個月，一台中國研發的車賣爆了歐洲","url":"https://stock-news.laohu8.com/highlight/detail?id=2645390892","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2645390892?lang=zh_tw&edition=fundamental","pubTime":"2026-06-24 17:48","pubTimestamp":1782294538,"startTime":"0","endTime":"0","summary":"雷诺从中国学到的不只是速度。","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://wallstreetcn.com/articles/3775407","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":["LU1066051225.USD","BK4160","LU1066051811.HKD","CTO","LU1066051498.USD","LU1066053197.SGD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2644707841","title":"IBM 大中華區CTO翟峯：當AI進入企業核心業務，最大的困難往往不是交付和上線","url":"https://stock-news.laohu8.com/highlight/detail?id=2644707841","media":"新浪科技","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2644707841?lang=zh_tw&edition=fundamental","pubTime":"2026-06-18 18:39","pubTimestamp":1781779140,"startTime":"0","endTime":"0","summary":"新浪科技讯 6月18日晚间消息，近日举办的IBM2026年第二季度媒体沟通会上，IBM 大中华区首席技术官翟峰系统性分享了IBM对企业级AI落地的最新思考与实践。　　然而，对于大多数企业而言，AI转型仍处于起点。IBM针对全球CEO的最新调研也揭示了这一鸿沟：大多数企业仍在试验和试点阶段，只有少数成功迈入“+AI”阶段、并取得预期ROI，探索成为“AI+”企业的更是寥寥。","market":"other","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/tob/2026-06-18/doc-inicvrtt2203999.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":["LU1066051225.USD","LU1066053197.SGD","LU1066051498.USD","LU1894683264.USD","LU1894683348.USD","BK4543","AIPO","BK4588","LU0321505868.SGD","LU1674673691.USD","LU1674673428.USD","LU1880398471.USD","LU1883839398.USD","BK4575","CTO","IBM","BK4134","LU1778281490.HKD","LU1880398554.USD","ARTY","LU0321505439.SGD","BK4602","BK4579","LU1430594728.SGD","BK4612","BK4534","BK4585","LU0868494617.USD","LU1585245621.USD","BK4538","CHAT","AGIX","BK4533","BK4160","LU1066051811.HKD"],"isVideo":false,"video":null,"gpt_icon":0}],"pageSize":20,"totalPage":3,"pageCount":1,"totalSize":43,"code":"91000000","status":"200"}]}}