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RL 拉夫劳伦
休市中 07-11 16:00:00 EDT
286.99
-2.88
-0.99%
盘后
286.90
-0.09
-0.03%
19:57 EDT
最高
290.17
最低
285.00
成交量
52.65万
今开
288.80
昨收
289.87
日振幅
1.78%
总市值
173.84亿
流通市值
109.27亿
总股本
6,057万
成交额
1.51亿
换手率
1.38%
流通股本
3,807万
市净率
--
ROE
--
每股收益
0.00
52周最高
--
52周最低
--
市盈率
--
股息
--
股息收益率
--
ROA
--
分时
五日
日K
周K
月K
数据加载中...
北京优虎网络科技有限公司
资讯
新帖
简况
拉夫劳伦7月11日成交额为1.51亿美元
市场透视 · 07-12 05:21
拉夫劳伦7月11日成交额为1.51亿美元
地表最贵AI诞生!年费2.1万,自称学术能力超人类博士
凤凰网科技 · 07-10 08:34
地表最贵AI诞生!年费2.1万,自称学术能力超人类博士
拉夫劳伦7月9日成交额为1.85亿美元
市场透视 · 07-10 05:28
拉夫劳伦7月9日成交额为1.85亿美元
DeepSeek-R1超级外挂!“人类最后的考试”首次突破30分
市场资讯 · 07-09
DeepSeek-R1超级外挂!“人类最后的考试”首次突破30分
4B小模型数学推理首超Claude 4,700步RL训练逼近235B性能
量子位 · 07-09
4B小模型数学推理首超Claude 4,700步RL训练逼近235B性能
破解“个性化学习”长尾难题,巧用神经坍缩理论 | ICML 2025
市场资讯 · 07-08
破解“个性化学习”长尾难题,巧用神经坍缩理论 | ICML 2025
拉夫劳伦7月7日成交额为2.39亿美元
市场透视 · 07-08
拉夫劳伦7月7日成交额为2.39亿美元
Agent RL与智能体进化关键一步:TaskCraft实现复杂任务自动生成
市场资讯 · 07-04
Agent RL与智能体进化关键一步:TaskCraft实现复杂任务自动生成
关于硅谷AI大战的现状,这篇文章讲清楚了
华尔街见闻 · 07-03
关于硅谷AI大战的现状,这篇文章讲清楚了
智谱再融10亿!获上海国资押注,开源视觉大模型,能解说球赛,还会玩手机
市场资讯 · 07-02
智谱再融10亿!获上海国资押注,开源视觉大模型,能解说球赛,还会玩手机
10B级模型SOTA,超8倍参数“大”模型,智谱开源GLM-4.1V-Thinking
市场资讯 · 07-02
10B级模型SOTA,超8倍参数“大”模型,智谱开源GLM-4.1V-Thinking
比音勒芬需要拉夫劳伦女孩
略大参考 · 07-01
比音勒芬需要拉夫劳伦女孩
只用2700万参数,这个推理模型超越了DeepSeek和Claude
市场资讯 · 06-30
只用2700万参数,这个推理模型超越了DeepSeek和Claude
突破通用领域推理的瓶颈!清华NLP实验室强化学习新研究RLPR
市场资讯 · 06-27
突破通用领域推理的瓶颈!清华NLP实验室强化学习新研究RLPR
7B模型超越DeepSeek-R1:模仿人类教师,弱模型也能教出强推理LLM
市场资讯 · 06-25
7B模型超越DeepSeek-R1:模仿人类教师,弱模型也能教出强推理LLM
强化学习新发现:无需数学样本,仅游戏训练AI推理大增
市场资讯 · 06-24
强化学习新发现:无需数学样本,仅游戏训练AI推理大增
2025年10个顶级GPU云平台:Serverless+RL开启AI普惠时代
DoNews · 06-24
2025年10个顶级GPU云平台:Serverless+RL开启AI普惠时代
股市刚反弹,高管们却忙着套现?什么信号?
金融界 · 06-21
股市刚反弹,高管们却忙着套现?什么信号?
特斯联邵岭:以多模态统一空间模型打造空间智能
市场资讯 · 06-20
特斯联邵岭:以多模态统一空间模型打造空间智能
掀翻传统推荐!OneRec端到端模型如何同时“吞噬”效果与成本双难题
市场资讯 · 06-20
掀翻传统推荐!OneRec端到端模型如何同时“吞噬”效果与成本双难题
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公司概况
公司名称:
拉夫劳伦
所属市场:
NYSE
上市日期:
--
主营业务:
拉夫劳伦公司1997年6月根据特拉华州法律成立。公司在设计、营销和分销高级生活方式产品(包括服装、鞋类、配件、家居用品、香水和酒店)方面处于全球领先地位,长期声誉和独特的形象已经在不断扩大的产品、品牌、销售渠道和国际市场上得到了发展,通过综合零售渠道直接向消费者销售产品,包括零售店、店内特许经营店以及全球的数字商务运营。
发行价格:
--
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4有望在今年内为人类带来“发现新科学技术”的突破,并可能在明年发现新的物理现象。xAI方面介绍,本次发布能够实现远超各类SOTA的成绩,本质上是范式和计算量的跃迁。换算下,最贵的Heavy年费直逼2.1万元人民币了。","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/8kqo8tsY9iY","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":["LU0006061336.USD","BK4202","BK4585","BK4588","RL"],"gpt_icon":0},{"id":"2550364697","title":"拉夫劳伦7月9日成交额为1.85亿美元","url":"https://stock-news.laohu8.com/highlight/detail?id=2550364697","media":"市场透视","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2550364697?lang=zh_cn&edition=full","pubTime":"2025-07-10 13:28","pubTimestamp":1752125332,"startTime":"0","endTime":"0","summary":"美东时间2025年7月9日,拉夫劳伦成交额为1.85亿美元,成交额较昨日增加3.16%,当日成交量为63.66万股。拉夫劳伦于2025年7月9日涨1.98%,报290.56美元,该股过去5个交易日涨6.78%,年初至今涨26.68%,过去60日涨49.75%。拉夫劳伦的销售渠道包括批发、零售和特许经营。","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=nesSN20250710132859a6a0d4c2&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=nesSN20250710132859a6a0d4c2&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["RL","BK4202","BK4585","LU0006061336.USD","BK4588"],"gpt_icon":0},{"id":"2550507157","title":"DeepSeek-R1超级外挂!“人类最后的考试”首次突破30分","url":"https://stock-news.laohu8.com/highlight/detail?id=2550507157","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2550507157?lang=zh_cn&edition=full","pubTime":"2025-07-09 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4,700步RL训练逼近235B性能","url":"https://stock-news.laohu8.com/highlight/detail?id=2550505429","media":"量子位","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2550505429?lang=zh_cn&edition=full","pubTime":"2025-07-09 09:18","pubTimestamp":1752023938,"startTime":"0","endTime":"0","summary":"4B模型的数学推理能力和顶尖商业大模型差在哪里?并且,Polaris-4B的轻量化允许在消费级显卡上部署。具体来说,Polaris通过仅仅700步的RL训练,成功地让Qwen3-4B在数学推理任务上接近了其235B版本的表现。以多样性为核心的采样控制在RL训练中,多样性被视为提升模型表现的重要因素。Qwen3-4B的模型预训练上下文长度仅有32K,而RL阶段Polaris将最大训练长设定为52K。统计结果表明,长文本组的准确率仅为26%,证明模型在生成超过预训练长度的长CoT时,性能明显受限。","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/8kqJoI1PWyz","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":["LU0006061336.USD","RL","BK4202","BK4585","BK4588"],"gpt_icon":0},{"id":"2549925745","title":"破解“个性化学习”长尾难题,巧用神经坍缩理论 | ICML 2025","url":"https://stock-news.laohu8.com/highlight/detail?id=2549925745","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2549925745?lang=zh_cn&edition=full","pubTime":"2025-07-08 13:25","pubTimestamp":1751952300,"startTime":"0","endTime":"0","summary":"从知识追踪到认知诊断,从自适应测试到对话式教学,数据驱动的个性化学习方法正逐步成为主流范式。特别是在不同语言、文化背景下的个性化学习场景中的表现。实验验证方面,在两个具有代表性的长尾教育数据集上,NCAL展现出了显著且一致的性能提升。从更广阔的视角看,本研究为数据驱动的个性化学习向理论指导的智能教育转变提供了重要推动力。","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/t/2025-07-08/doc-infetuqn3461378.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":["RL","TC","LU0006061336.USD","BK4202","BK4585","BK4588","BK4009"],"gpt_icon":0},{"id":"2549945725","title":"拉夫劳伦7月7日成交额为2.39亿美元","url":"https://stock-news.laohu8.com/highlight/detail?id=2549945725","media":"市场透视","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2549945725?lang=zh_cn&edition=full","pubTime":"2025-07-08 13:21","pubTimestamp":1751952074,"startTime":"0","endTime":"0","summary":"美东时间2025年7月7日,拉夫劳伦成交额为2.39亿美元,成交额较昨日增加142.94%,当日成交量为83.80万股。拉夫劳伦于2025年7月7日涨2.14%,报285.81美元,该股过去5个交易日涨3.42%,年初至今涨24.61%,过去60日涨57.26%。拉夫劳伦的销售渠道包括批发、零售和特许经营。","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=nesSN20250708132122a69c60cb&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, 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TaskCraft,一个面向智能体任务的自动化生成框架,旨在高效构建具备可扩展难度、多工具协同与可验证执行路径的智能体任务实例。","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/stock/t/2025-07-04/doc-infehuep3051083.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":["BK4588","BK4585","LU0006061336.USD","BK4202","RL"],"gpt_icon":0},{"id":"2548080579","title":"关于硅谷AI大战的现状,这篇文章讲清楚了","url":"https://stock-news.laohu8.com/highlight/detail?id=2548080579","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2548080579?lang=zh_cn&edition=full","pubTime":"2025-07-03 18:41","pubTimestamp":1751539284,"startTime":"0","endTime":"0","summary":"SemiAnalysis创始人Dylan Patel认为,Meta正全力追逐“超级智能”;苹果或因文化和资源劣势在AI人才争夺中掉队;OpenAI与微软的IP控制权之争暗藏隐忧;英伟达虽强劲,但策略失误让AMD有机可乘。此外,他不太看好设备端AI,认为未来核心AI能力仍在云端。白领工作将受AI冲击。而OpenAI和Meta将领跑“超级智能”竞赛。","market":"sg","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":null,"url":"https://wallstreetcn.com/articles/3750362","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/3750362","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":["LU1697837992.HKD","NVDX","LU2543165471.USD","BK4097","SG9999015358.SGD","LU0157215616.USD","RL","LU1188199696.SGD","LU2298321311.HKD","IE000KEQY171.SGD","NVDU","NVDY","LU2506951792.HKD","SSI","GFS","LU2106854487.HKD","NVIW.SI","LU0472753341.HKD","LU1914381329.SGD","BK4550","LU1303367103.USD","3NVD.UK","LU1732799900.SGD","LU1791710582.SGD","NVD2.UK","LU0708994859.HKD","SGXZ99366536.SGD","AGI","IE00BDRTCR15.USD","NVDS.UK","LU1069344957.HKD","NVDD","LU1221951129.SGD","NVD","IE0034235295.USD","NVD3.UK","NVDS","LU1712237335.SGD","LU2286300806.USD","LU0994945656.USD","LU0661504455.SGD","LU1721428933.USD","2NVD.UK","SNVD.UK","FB","LU1974910355.USD"],"gpt_icon":1},{"id":"2548865185","title":"智谱再融10亿!获上海国资押注,开源视觉大模型,能解说球赛,还会玩手机","url":"https://stock-news.laohu8.com/highlight/detail?id=2548865185","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2548865185?lang=zh_cn&edition=full","pubTime":"2025-07-02 15:40","pubTimestamp":1751442000,"startTime":"0","endTime":"0","summary":"开源之外,智谱还在今天举行的智谱开放平台产业生态大会上宣布,该公司获得浦东创投集团和张江集团联合战略投资,总额10亿元。目前,开源社区缺乏一种在广泛任务范围内持续超越传统同类参数规模非推理模型的多模态推理模型。在视觉编码器部分,智谱将原始的二维卷积替换为三维卷积,尤其适用于视频理解,有效提升了处理效率。","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/stock/t/2025-07-02/doc-infeanhk2500975.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":["BK4202","BK4214","BK4588","BK4585","RL","SFT","LU0006061336.USD"],"gpt_icon":0},{"id":"2548597918","title":"10B级模型SOTA,超8倍参数“大”模型,智谱开源GLM-4.1V-Thinking","url":"https://stock-news.laohu8.com/highlight/detail?id=2548597918","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2548597918?lang=zh_cn&edition=full","pubTime":"2025-07-02 12:22","pubTimestamp":1751430120,"startTime":"0","endTime":"0","summary":"智谱正式发布 GLM-4.1V-Thinking 系列模型,并率先开源GLM-4.1V-9B-Thinking,标志着智谱 GLM 视觉大模型向高阶认知迈出了关键一步。在 18 项权威评测中,GLM-4.1V-9B-Thinking 的表现已可比肩甚至超越参数量高达 72B 的 Qwen2.5-VL-72B,充分展示出结构设计与训练策略的先进性与效率。模型原理1. 模型架构GLM-4.1V-Thinking 模型架构由三个核心模块组成:视觉编码器、多层感知机适配器以及语言解码器。2训练流程GLM-4.1V-Thinking 的训练过程分为三个阶段:预训练、监督微调 和 强化学习。","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/stock/t/2025-07-02/doc-infczzsq2682912.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":["BK4202","RL","BK4588","SFT","LU0006061336.USD","BK4585","BK4214"],"gpt_icon":0},{"id":"2548075856","title":"比音勒芬需要拉夫劳伦女孩","url":"https://stock-news.laohu8.com/highlight/detail?id=2548075856","media":"略大参考","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2548075856?lang=zh_cn&edition=full","pubTime":"2025-07-01 15:55","pubTimestamp":1751356501,"startTime":"0","endTime":"0","summary":"比音勒芬近来的市值缩水严重——从2023年的200亿降至不到100亿,利润也出现了自上市以来的首次负增长,谢秉政需要给焦躁的股东们一个合理解释。说这话时,比音勒芬2024年年度财报还没有出。到2025年一季报,比音勒芬营业收入12.86亿元,同比增长1.41%,归属于上市公司股东的净利润为3.31亿元,同比下滑8.47%。比音勒芬要赌一个未来,但前提是,品牌的底蕴能否撑到未来到来。因为除了“衣中茅台”外,比音勒芬还有个“外号”——中国版“拉夫劳伦”。","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=nesSN20250701155726a727e4c9&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, 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个训练样本,HRM在归纳基准测试和具有挑战性的符号树搜索谜题上就超越了最先进的 CoT 模型,而 CoT 模型则完全失败。HRM 采用随机初始化,无需思维链,直接根据输入完成任务。HRM 克服了这一根本限制,有效地利用其计算深度实现了近乎完美的准确率。","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/stock/t/2025-06-30/doc-infcweke9720614.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":["IE00BFXG1179.USD","BK4115","LU0211326839.USD","BK4507","LU0211326755.USD","BK4515","BK4550","LU1621768115.EUR","LU0149725797.USD","LU0976567544.SGD","T","BK4229","LU0496365809.HKD","BK4195","BK4585","ACT","LU1621767810.EUR","BK4588","BK4534","LU1621768206.USD","LU1571399168.USD","LU0006061336.USD","LU2384288077.EUR","LU1621767737.EUR","BK4143","BK4202","IE00BSNM7G36.USD","RL","BK4598","ARC"],"gpt_icon":0},{"id":"2546642507","title":"突破通用领域推理的瓶颈!清华NLP实验室强化学习新研究RLPR","url":"https://stock-news.laohu8.com/highlight/detail?id=2546642507","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2546642507?lang=zh_cn&edition=full","pubTime":"2025-06-27 10:30","pubTimestamp":1750991400,"startTime":"0","endTime":"0","summary":"针对这一关键挑战,清华大学自然语言处理实验室提出了一项关键性技术 —— 基于参考概率奖励的强化学习。同时,RLPR 提出基于奖励标准差的动态过滤机制,进一步提升强化学习的稳定性和性能提升。目前 RLPR 相关代码、模型、数据、论文均已开源。结果表明,PR 在 0.5B 规模即取得了显著优于规则奖励和验证器模型奖励的质量。RLPR 在 Gemma、Llama、Qwen 等不同基座模型上均稳定提升推理能力总结RLPR 提出了创新的 Prob-to-Reward 奖励机制,解决了现有 RLVR 范式的领域依赖问题。","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://finance.sina.com.cn/stock/t/2025-06-27/doc-infcnrzr2751855.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":["EMA","BK4081","BK4588","BK4202","BK4585","RL","LU0006061336.USD"],"gpt_icon":0},{"id":"2546271298","title":"7B模型超越DeepSeek-R1:模仿人类教师,弱模型也能教出强推理LLM","url":"https://stock-news.laohu8.com/highlight/detail?id=2546271298","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2546271298?lang=zh_cn&edition=full","pubTime":"2025-06-25 14:29","pubTimestamp":1750832940,"startTime":"0","endTime":"0","summary":"用Sanaka AI的新方法训练出的7B小模型,在传授推理技能方面,比671B的DeepSeek-R1还要有效。像人类老师一样许多高级推理模型,如DeepSeek-R1,遵循两阶段的训练过程:首先训练教师模型,然后使用其输出训练学生模型,最终产品为学生模型。竞争方法使用规模更大的模型,如DeepSeek-R1和QwQ,并结合GPT-4o-mini等工具在用于训练学生模型之前清理其输出,以获得额外帮助。","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/stock/t/2025-06-25/doc-infchkck8083801.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":["LU0006061336.USD","BK4588","BK4585","BK4202","RL"],"gpt_icon":0},{"id":"2545222402","title":"强化学习新发现:无需数学样本,仅游戏训练AI推理大增","url":"https://stock-news.laohu8.com/highlight/detail?id=2545222402","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2545222402?lang=zh_cn&edition=full","pubTime":"2025-06-24 16:46","pubTimestamp":1750754760,"startTime":"0","endTime":"0","summary":"最近,强化学习领域出现了一个颠覆性发现:研究人员不再需要大量数学训练样本,仅仅让 AI 玩简单游戏,就能显著提升其数学推理能力。此前已有研究发现,即使不提供标准答案,仅用数学问题进行强化学习也能提高模型性能,这让人们开始重新思考强化学习的训练方式。执行后会从环境获得奖励,用于进行强化学习。两款游戏的设计哲学互补:贪吃蛇主要提升 2D 坐标相关的数学表现,旋转游戏则更适合角度和长度推理。","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/stock/t/2025-06-24/doc-infcemnh8974111.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":["BK4214","BK4585","BK4202","RL","SFT","BK4588","LU0006061336.USD"],"gpt_icon":0},{"id":"2545440647","title":"2025年10个顶级GPU云平台:Serverless+RL开启AI普惠时代","url":"https://stock-news.laohu8.com/highlight/detail?id=2545440647","media":"DoNews","labels":[],"top":-1,"itemType":null,"share":"https://www.laohu8.com/m/news/2545440647?lang=zh_cn&edition=full","pubTime":"2025-06-24 15:56","pubTimestamp":1750751801,"startTime":"0","endTime":"0","summary":"而国内同样参与者众多,比如2025年第二季度,阿里云、九章云极等企业先后发布新一代AI基础设施服务,如阿里云的FlashMoE和九章云极基于Serverless+RL架构的九章智算云Alaya NeW Cloud。在此背景下,“Serverless+RL”技术组合逐渐脱颖而出。因此,Serverless+RL的融合不仅是技术层面的进步,更是AI产业商业化的加速器。关键趋势一:GPU云厂商加速技术降本和AI开发服务升级1、九章云极:发布九章智算云Alaya NeW Cloud 2.0,开创中国Serverless+RL技术路线。","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=nesSN2025062416060495293f56&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, 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