TONY ZHANG的个人主页 - 老虎社区

TONY ZHANG

TONY ZHANG

外贸从业人员

IP属地：江苏

78关注

0粉丝

3主题

0勋章

2025-04-21

2025-04-20

老虎邀请函

查看详情：老虎邀请函我在老虎国际获得超多大奖，快来查看你有什么奖励吧！此帖仅开放于中国大陆用户

老虎邀请函

2025-04-20

该股票还在上升阶段，继续看涨

2025-04-19

$以星航运(ZIM)$

2025-04-18

复活节彩蛋大作战

2025-04-16

$Wolfspeed Inc.(WOLF)$

2025-04-16

$Wolfspeed Inc.(WOLF)$

2025-04-12

股市最难预测的是股市本身是不可预测的。作为参与者不要试图用预测去指导操作，而是应该用市场本身的参数去决定什么时候下注赔率会高一些。借用巴菲特的话，如果你不知道该买什么，就买指数基金吧，80%的主动基金都跑不过标普500[贱笑]<a href="https://laohu8.com/U/4119448333036000"> @GORIC </a><a href="https://laohu8.com/U/10000000000010317"> @俯瞰繁华 </a><a href="https://laohu8.com/U/10000000000010309"> @日添一线 </a>

2025-03-14

$纳指三倍做空ETF(SQQQ)$

2025-03-06

$Rigetti Computing(RGTI)$

2025-03-06

$百度(BIDU)$ [开心] [开心] [开心]

2025-03-06

[龇牙] [龇牙] [龇牙] [开心] [龇牙] [龇牙] [难过]

2025-03-06

2025-01-29

$塔吉特(TGT)$ 哈哈哈

2025-01-28

这篇文章不错，转发给大家看看

英伟达称DeepSeek R1模型是“人工智能的卓越进步”

2025-01-26

$纳指100ETF(QQQ)$ 哈哈哈

2025-01-21

$纳斯达克(.IXIC)$ 再长了

2024-12-26

$富时新加坡海峡指数(STI.SI)$

去老虎APP查看更多动态

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R1是“一项出色的人工智能进步”，尽管这家人工初创公司的崛起导致英伟达股价周一暴跌17%。　　英伟达发言人周一表示：“DeepSeek是一项出色的人工智能进步，也是测试时间缩放的完美例子。”“DeepSeek的工作说明了如何使用该技术创建新模型，利用广泛可用的模型和完全符合出口管制的计算。”　　在此之前，DeepSeek上周发布了R1，这是一个开源推理模型，据报道，它的表现超过了OpenAI等美国公司的最佳模型。","content":"<html><head></head><body><p><a href=\"https://laohu8.com/S/NVDA\">英伟达</a>称DeepSeek R1是“一项出色的人工智能进步”，尽管这家人工初创公司的崛起导致英伟达股价周一暴跌17%。</p><p>英伟达发言人周一表示：“DeepSeek是一项出色的人工智能进步，也是测试时间缩放的完美例子。”“DeepSeek的工作说明了如何使用该技术创建新模型，利用广泛可用的模型和完全符合出口管制的计算。”</p><p>在此之前，DeepSeek上周发布了R1，这是一个开源推理模型，据报道，它的表现超过了OpenAI等美国公司的最佳模型。R1自我报告的培训成本不到600万美元，与硅谷公司花费数十亿美元建立人工智能模型的成本相比，这只是一个零头。</p><p>英伟达的声明表明，它认为DeepSeek的突破将为这家美国芯片制造商的图形处理单元（GPU）创造更多的工作。</p><p>“推理需要大量的英伟达GPU和高性能网络，”发言人补充说。“我们现在有三个缩放定律：训练前定律和训练后定律，它们会继续，还有新的测试时间缩放定律。”</p><p>分析师们现在在问，<a href=\"https://laohu8.com/S/MSFT\">微软</a>、<a href=\"https://laohu8.com/S/GOOG\">谷歌</a>和Meta等公司对基于英伟达的人工智能基础设施的数十亿美元资本投资是否被浪费了，因为同样的结果可以以更低的成本实现。</p><p>本月早些时候，微软表示，仅2025年就将在人工智能基础设施上投入800亿美元，而Meta首席执行官马克·扎克伯格上周表示，这家社交媒体公司计划在2025年投资600亿至650亿美元的资本支出，作为其人工智能战略的一部分。</p><p>美国银行证券分析师贾斯汀•波斯特（Justin Post）在周一的一份报告中写道：“如果模型培训成本被证明显著降低，我们预计使用云人工智能服务的广告、旅游和其他消费应用公司将在短期内获得成本效益，而与超大规模人工智能相关的长期收入和成本可能会降低。”</p><p>英伟达的评论也反映了英伟达首席执行官黄仁勋、OpenAI首席执行官萨姆·奥特曼和微软首席执行官萨蒂亚·纳德拉最近几个月讨论的一个新主题。</p><p>人工智能的繁荣和对英伟达gpu的需求在很大程度上是由“缩放定律”驱动的，这是OpenAI研究人员在2020年提出的人工智能开发概念。这一概念表明，通过大幅增加构建新模型所需的计算量和数据量，可以开发出更好的人工智能系统，而这需要越来越多的芯片。</p><p>自去年11月以来，Huang和Altman一直在关注缩放定律的一个新问题，Huang称之为“测试时间缩放”。</p><p>这一概念认为，如果一个训练有素的人工智能模型在进行预测或生成文本或图像以进行“推理”时，花更多的时间使用额外的计算机能力，那么它将比运行更少的时间提供更好的答案。</p><p>测试时间缩放定律的形式被用于OpenAI的一些模型，如o1和DeepSeek的突破性R1模型。</p></body></html>","source":"sina_us","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" 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href=https://finance.sina.com.cn/stock/usstock/c/2025-01-28/doc-inehnfyi8717503.shtml><strong>环球市场播报</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>英伟达称DeepSeek R1是“一项出色的人工智能进步”，尽管这家人工初创公司的崛起导致英伟达股价周一暴跌17%。英伟达发言人周一表示：“DeepSeek是一项出色的人工智能进步，也是测试时间缩放的完美例子。”“DeepSeek的工作说明了如何使用该技术创建新模型，利用广泛可用的模型和完全符合出口管制的计算。”在此之前，DeepSeek上周发布了R1，这是一个开源推理模型，据报道，它的表现超过了...</p>\n\n<a href=\"https://finance.sina.com.cn/stock/usstock/c/2025-01-28/doc-inehnfyi8717503.shtml\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/9859cd9504ee1e4ffd60d05066306561","relate_stocks":{"NVDA":"英伟达"},"source_url":"https://finance.sina.com.cn/stock/usstock/c/2025-01-28/doc-inehnfyi8717503.shtml","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2506580768","content_text":"英伟达称DeepSeek R1是“一项出色的人工智能进步”，尽管这家人工初创公司的崛起导致英伟达股价周一暴跌17%。英伟达发言人周一表示：“DeepSeek是一项出色的人工智能进步，也是测试时间缩放的完美例子。”“DeepSeek的工作说明了如何使用该技术创建新模型，利用广泛可用的模型和完全符合出口管制的计算。”在此之前，DeepSeek上周发布了R1，这是一个开源推理模型，据报道，它的表现超过了OpenAI等美国公司的最佳模型。R1自我报告的培训成本不到600万美元，与硅谷公司花费数十亿美元建立人工智能模型的成本相比，这只是一个零头。英伟达的声明表明，它认为DeepSeek的突破将为这家美国芯片制造商的图形处理单元（GPU）创造更多的工作。“推理需要大量的英伟达GPU和高性能网络，”发言人补充说。“我们现在有三个缩放定律：训练前定律和训练后定律，它们会继续，还有新的测试时间缩放定律。”分析师们现在在问，微软、谷歌和Meta等公司对基于英伟达的人工智能基础设施的数十亿美元资本投资是否被浪费了，因为同样的结果可以以更低的成本实现。本月早些时候，微软表示，仅2025年就将在人工智能基础设施上投入800亿美元，而Meta首席执行官马克·扎克伯格上周表示，这家社交媒体公司计划在2025年投资600亿至650亿美元的资本支出，作为其人工智能战略的一部分。美国银行证券分析师贾斯汀•波斯特（Justin Post）在周一的一份报告中写道：“如果模型培训成本被证明显著降低，我们预计使用云人工智能服务的广告、旅游和其他消费应用公司将在短期内获得成本效益，而与超大规模人工智能相关的长期收入和成本可能会降低。”英伟达的评论也反映了英伟达首席执行官黄仁勋、OpenAI首席执行官萨姆·奥特曼和微软首席执行官萨蒂亚·纳德拉最近几个月讨论的一个新主题。人工智能的繁荣和对英伟达gpu的需求在很大程度上是由“缩放定律”驱动的，这是OpenAI研究人员在2020年提出的人工智能开发概念。这一概念表明，通过大幅增加构建新模型所需的计算量和数据量，可以开发出更好的人工智能系统，而这需要越来越多的芯片。自去年11月以来，Huang和Altman一直在关注缩放定律的一个新问题，Huang称之为“测试时间缩放”。这一概念认为，如果一个训练有素的人工智能模型在进行预测或生成文本或图像以进行“推理”时，花更多的时间使用额外的计算机能力，那么它将比运行更少的时间提供更好的答案。测试时间缩放定律的形式被用于OpenAI的一些模型，如o1和DeepSeek的突破性R1模型。","news_type":1,"symbols_score_info":{"NVDA":1}},"isVote":1,"tweetType":1,"viewCount":1027,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":396643865354896,"gmtCreate":1737859125755,"gmtModify":1737861379404,"author":{"id":"4198012896479842","authorId":"4198012896479842","name":"TONY 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R1是“一项出色的人工智能进步”，尽管这家人工初创公司的崛起导致英伟达股价周一暴跌17%。　　英伟达发言人周一表示：“DeepSeek是一项出色的人工智能进步，也是测试时间缩放的完美例子。”“DeepSeek的工作说明了如何使用该技术创建新模型，利用广泛可用的模型和完全符合出口管制的计算。”　　在此之前，DeepSeek上周发布了R1，这是一个开源推理模型，据报道，它的表现超过了OpenAI等美国公司的最佳模型。","content":"<html><head></head><body><p><a href=\"https://laohu8.com/S/NVDA\">英伟达</a>称DeepSeek R1是“一项出色的人工智能进步”，尽管这家人工初创公司的崛起导致英伟达股价周一暴跌17%。</p><p>英伟达发言人周一表示：“DeepSeek是一项出色的人工智能进步，也是测试时间缩放的完美例子。”“DeepSeek的工作说明了如何使用该技术创建新模型，利用广泛可用的模型和完全符合出口管制的计算。”</p><p>在此之前，DeepSeek上周发布了R1，这是一个开源推理模型，据报道，它的表现超过了OpenAI等美国公司的最佳模型。R1自我报告的培训成本不到600万美元，与硅谷公司花费数十亿美元建立人工智能模型的成本相比，这只是一个零头。</p><p>英伟达的声明表明，它认为DeepSeek的突破将为这家美国芯片制造商的图形处理单元（GPU）创造更多的工作。</p><p>“推理需要大量的英伟达GPU和高性能网络，”发言人补充说。“我们现在有三个缩放定律：训练前定律和训练后定律，它们会继续，还有新的测试时间缩放定律。”</p><p>分析师们现在在问，<a href=\"https://laohu8.com/S/MSFT\">微软</a>、<a href=\"https://laohu8.com/S/GOOG\">谷歌</a>和Meta等公司对基于英伟达的人工智能基础设施的数十亿美元资本投资是否被浪费了，因为同样的结果可以以更低的成本实现。</p><p>本月早些时候，微软表示，仅2025年就将在人工智能基础设施上投入800亿美元，而Meta首席执行官马克·扎克伯格上周表示，这家社交媒体公司计划在2025年投资600亿至650亿美元的资本支出，作为其人工智能战略的一部分。</p><p>美国银行证券分析师贾斯汀•波斯特（Justin Post）在周一的一份报告中写道：“如果模型培训成本被证明显著降低，我们预计使用云人工智能服务的广告、旅游和其他消费应用公司将在短期内获得成本效益，而与超大规模人工智能相关的长期收入和成本可能会降低。”</p><p>英伟达的评论也反映了英伟达首席执行官黄仁勋、OpenAI首席执行官萨姆·奥特曼和微软首席执行官萨蒂亚·纳德拉最近几个月讨论的一个新主题。</p><p>人工智能的繁荣和对英伟达gpu的需求在很大程度上是由“缩放定律”驱动的，这是OpenAI研究人员在2020年提出的人工智能开发概念。这一概念表明，通过大幅增加构建新模型所需的计算量和数据量，可以开发出更好的人工智能系统，而这需要越来越多的芯片。</p><p>自去年11月以来，Huang和Altman一直在关注缩放定律的一个新问题，Huang称之为“测试时间缩放”。</p><p>这一概念认为，如果一个训练有素的人工智能模型在进行预测或生成文本或图像以进行“推理”时，花更多的时间使用额外的计算机能力，那么它将比运行更少的时间提供更好的答案。</p><p>测试时间缩放定律的形式被用于OpenAI的一些模型，如o1和DeepSeek的突破性R1模型。</p></body></html>","source":"sina_us","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" 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href=https://finance.sina.com.cn/stock/usstock/c/2025-01-28/doc-inehnfyi8717503.shtml><strong>环球市场播报</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>英伟达称DeepSeek R1是“一项出色的人工智能进步”，尽管这家人工初创公司的崛起导致英伟达股价周一暴跌17%。英伟达发言人周一表示：“DeepSeek是一项出色的人工智能进步，也是测试时间缩放的完美例子。”“DeepSeek的工作说明了如何使用该技术创建新模型，利用广泛可用的模型和完全符合出口管制的计算。”在此之前，DeepSeek上周发布了R1，这是一个开源推理模型，据报道，它的表现超过了...</p>\n\n<a href=\"https://finance.sina.com.cn/stock/usstock/c/2025-01-28/doc-inehnfyi8717503.shtml\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/9859cd9504ee1e4ffd60d05066306561","relate_stocks":{"NVDA":"英伟达"},"source_url":"https://finance.sina.com.cn/stock/usstock/c/2025-01-28/doc-inehnfyi8717503.shtml","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2506580768","content_text":"英伟达称DeepSeek R1是“一项出色的人工智能进步”，尽管这家人工初创公司的崛起导致英伟达股价周一暴跌17%。英伟达发言人周一表示：“DeepSeek是一项出色的人工智能进步，也是测试时间缩放的完美例子。”“DeepSeek的工作说明了如何使用该技术创建新模型，利用广泛可用的模型和完全符合出口管制的计算。”在此之前，DeepSeek上周发布了R1，这是一个开源推理模型，据报道，它的表现超过了OpenAI等美国公司的最佳模型。R1自我报告的培训成本不到600万美元，与硅谷公司花费数十亿美元建立人工智能模型的成本相比，这只是一个零头。英伟达的声明表明，它认为DeepSeek的突破将为这家美国芯片制造商的图形处理单元（GPU）创造更多的工作。“推理需要大量的英伟达GPU和高性能网络，”发言人补充说。“我们现在有三个缩放定律：训练前定律和训练后定律，它们会继续，还有新的测试时间缩放定律。”分析师们现在在问，微软、谷歌和Meta等公司对基于英伟达的人工智能基础设施的数十亿美元资本投资是否被浪费了，因为同样的结果可以以更低的成本实现。本月早些时候，微软表示，仅2025年就将在人工智能基础设施上投入800亿美元，而Meta首席执行官马克·扎克伯格上周表示，这家社交媒体公司计划在2025年投资600亿至650亿美元的资本支出，作为其人工智能战略的一部分。美国银行证券分析师贾斯汀•波斯特（Justin Post）在周一的一份报告中写道：“如果模型培训成本被证明显著降低，我们预计使用云人工智能服务的广告、旅游和其他消费应用公司将在短期内获得成本效益，而与超大规模人工智能相关的长期收入和成本可能会降低。”英伟达的评论也反映了英伟达首席执行官黄仁勋、OpenAI首席执行官萨姆·奥特曼和微软首席执行官萨蒂亚·纳德拉最近几个月讨论的一个新主题。人工智能的繁荣和对英伟达gpu的需求在很大程度上是由“缩放定律”驱动的，这是OpenAI研究人员在2020年提出的人工智能开发概念。这一概念表明，通过大幅增加构建新模型所需的计算量和数据量，可以开发出更好的人工智能系统，而这需要越来越多的芯片。自去年11月以来，Huang和Altman一直在关注缩放定律的一个新问题，Huang称之为“测试时间缩放”。这一概念认为，如果一个训练有素的人工智能模型在进行预测或生成文本或图像以进行“推理”时，花更多的时间使用额外的计算机能力，那么它将比运行更少的时间提供更好的答案。测试时间缩放定律的形式被用于OpenAI的一些模型，如o1和DeepSeek的突破性R1模型。","news_type":1,"symbols_score_info":{"NVDA":1}},"isVote":1,"tweetType":1,"viewCount":1027,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":396643865354896,"gmtCreate":1737859125755,"gmtModify":1737861379404,"author":{"id":"4198012896479842","authorId":"4198012896479842","name":"TONY 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