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五个变革性趋势塑造了2025年的Aiot景观 - 未来
2025-02-03 01:00:00
在2025年，AI和IoT（Aiot）的整合将大大重塑传统安全措施之外的各种行业。Hikvision强调了五个关键趋势：1。**自适应感知技术**：AI图像信号处理之类的进步在有挑战性的条件下增强了图像质量，而毫米波雷达和声波传感技术可以改善环境监测。2。**跨行业的数字化转型**：Aiot通过提供预防零售损失的有价值的数据来加速数字化，并通过能源领域的自动PPE检查提高安全性。3。**协作生态系统**：开放平台有助于第三方应用程序的无缝集成，使开发人员能够创建灵活的解决方案并使对先进AI功能的访问使访问权力化。4。**集体网络安全工作**：公司优先考虑积极的网络安全措施，涉及利益相关者之间的合作，以更加强大的保护威胁。5。** AIOT作为可持续性催化剂**：Aiot Technologies优化资源使用，减少能源消耗并改善废物管理，促进建筑管理等行业的可持续实践。
在2025年，AI和IoT（Aiot）的整合将大大重塑传统安全措施之外的各种行业。Hikvision强调了五个关键趋势：1。**自适应感知技术**：AI图像信号处理之类的进步在有挑战性的条件下增强了图像质量，而毫米波雷达和声波传感技术可以改善环境监测。2。**跨行业的数字化转型**：Aiot通过提供预防零售损失的有价值的数据来加速数字化，并通过能源领域的自动PPE检查提高安全性。3。**协作生态系统**：开放平台有助于第三方应用程序的无缝集成，使开发人员能够创建灵活的解决方案并使对先进AI功能的访问使访问权力化。4。**集体网络安全工作**：公司优先考虑积极的网络安全措施，涉及利益相关者之间的合作，以更加强大的保护威胁。5。** AIOT作为可持续性催化剂**：Aiot Technologies优化资源使用，减少能源消耗并改善废物管理，促进建筑管理等行业的可持续实践。
OpenAI首席执行官Sam Altman：公司正在考虑“不同的开源战略” |pymnts.com
2025-02-03 00:22:30
由于DeepSeek的低成本开源AI模型发布，Openai正在重新考虑其转变为封闭源开发方法。在Reddit AMA期间，首席执行官Sam Altman承认需要采取不同的开源策略，尽管他指出，目前并不是他们的重中之重。OpenAI的CPO Kevin Weil提到了考虑开源旧型号的考虑。这种重新考虑的是，人们对埃隆·马斯克（Elon Musk）针对OpenAI的诉讼以及Yann Lecun等AI专家的评论所强调，人们对人类对人类的访问和利益的关注以及对开放源研究的力量的评论所强调。Openai
由于DeepSeek的低成本开源AI模型发布，Openai正在重新考虑其转变为封闭源开发方法。在Reddit AMA期间，首席执行官Sam Altman承认需要采取不同的开源策略，尽管他指出，目前并不是他们的重中之重。OpenAI的CPO Kevin Weil提到了考虑开源旧型号的考虑。这种重新考虑的是，人们对埃隆·马斯克（Elon Musk）针对OpenAI的诉讼以及Yann Lecun等AI专家的评论所强调，人们对人类对人类的访问和利益的关注以及对开放源研究的力量的评论所强调。Openai
Chatgpt的高级AI售价为200美元/月。现在可以免费使用Windows用户
2025-02-02 22:36:00
Microsoft通过Copilot中的新“ Think Think更深”功能免费访问OpenAI强大的O1模型，旨在免费提供高级AI推理，以无需向用户提供。这一举动与Openai以前无限制访问O1的定价模型形成鲜明对比，即20美元/月$ 200/月。微软尚未指出为这项服务收费的计划，可能破坏当前的AI市场动态。
Microsoft通过Copilot中的新“ Think Think更深”功能免费访问OpenAI强大的O1模型，旨在免费提供高级AI推理，以无需向用户提供。这一举动与Openai以前无限制访问O1的定价模型形成鲜明对比，即20美元/月$ 200/月。微软尚未指出为这项服务收费的计划，可能破坏当前的AI市场动态。
足球历史上最伟大的英国最伟大的捍卫者被命名和排名 - AI
2025-02-02 21:15:00
该列表根据其影响和成就，对英国足球历史上一些最著名的后卫进行了排名。这是一个回顾：1。**鲍比·摩尔（Bobby Moore）**（英格兰）：摩尔经常被视为有史以来最好的英国捍卫者之一，在1966年世界杯上获得了英格兰队的胜利，并且是西汉姆联队的足总杯冠军。2。**比利·赖特（Billy Wright）**（英格兰/沃尔夫汉普顿（Wolverhampton Wanderers））：第一位进入英格兰100个国际盖帽的球员，他在三个世界杯上担任了比赛，并与狼队赢得了多个第一分区冠军。3。**加里·内维尔（Gary Neville）**（曼联/英格兰）：一个始终如一且聪明的右后卫，是英超时代曼联统治的关键部分。4。**约翰·特里（John Terry）**（切尔西/英格兰）：他以他的领导能力，空中才能和防守情报而闻名，他带领切尔西取得了许多国内冠军和欧洲的成功。5。**加里·内维尔（Gary Neville）**在这里重复；可能打算是：6。**加里·内维尔（Gary Neville）**（曼联/英格兰）：一个艰苦的，积极进取的右后卫，在亚历克斯·弗格森爵士（Alex Ferguson）的领导下是曼联荣耀时代的重要人物。7。**比利·赖特（Billy Wright）**也再次列出了他的历史意义。8。**史蒂夫·布鲁斯（Steve Bruce **） - 史蒂夫·布鲁斯（Steve Bruce）是一位出色的后卫，以其强大的空中能力和领导能力而闻名，周三将曼联和谢菲尔德（Sheffield）冠以重要的国内冠军。9。**菲尔·内维尔**： - 菲尔·内维尔（Phil Neville）的包容性很可能是由于他在2000年代初成功时期的右后卫的一致性和战术情报所致。10。 - 加雷斯·索斯盖特（Gareth Southgate）一直是英格兰的重要后卫，他以球场上和球场的领导而闻名。11。**保罗·帕克**： - 保罗·帕克（Paul Parker）是另一个可靠的右后卫，他为90年代和2000年代初的托特纳姆热刺（Totterham Hotspur）做出了重要贡献。###关键参与者的详细分解： - **鲍比·摩尔（Bobby Moore）**：毫无疑问，鲍比·摩尔（Bobby Moore）在英格兰世界杯冠军期间的队长无与伦比。在压力下，他的防御智慧和平静是他风格的标志。 - **比利·赖特（Billy Wright）**：开创性的后卫为职业足球的长寿设定了标准，并通过多个世界杯冠军英格兰队。 - **加里·内维尔（Gary Neville）**：加里·内维尔（Gary Neville）的一致性和战术意识使他成为英超联赛时代的右后卫，这是曼联成功的基石。 - **约翰·特里（John Terry）**：约翰·特里（John Terry）以切尔西（Chelsea）的空中能力和领导力而闻名，对球队的防守坚固性和获胜的竞选活动至关重要。这份名单上的每个球员都为他们的球队的成功做出了重大贡献，并被认为是英格兰最好的捍卫者之一。
该列表根据其影响和成就，对英国足球历史上一些最著名的后卫进行了排名。这是一个回顾：1。**鲍比·摩尔（Bobby Moore）**（英格兰）：摩尔经常被视为有史以来最好的英国捍卫者之一，在1966年世界杯上获得了英格兰队的胜利，并且是西汉姆联队的足总杯冠军。2。**比利·赖特（Billy Wright）**（英格兰/沃尔夫汉普顿（Wolverhampton Wanderers））：第一位进入英格兰100个国际盖帽的球员，他在三个世界杯上担任了比赛，并与狼队赢得了多个第一分区冠军。3。**加里·内维尔（Gary Neville）**（曼联/英格兰）：一个始终如一且聪明的右后卫，是英超时代曼联统治的关键部分。4。**约翰·特里（John Terry）**（切尔西/英格兰）：他以他的领导能力，空中才能和防守情报而闻名，他带领切尔西取得了许多国内冠军和欧洲的成功。5。**加里·内维尔（Gary Neville）**在这里重复；可能打算是：6。**加里·内维尔（Gary Neville）**（曼联/英格兰）：一个艰苦的，积极进取的右后卫，在亚历克斯·弗格森爵士（Alex Ferguson）的领导下是曼联荣耀时代的重要人物。7。**比利·赖特（Billy Wright）**也再次列出了他的历史意义。8。**史蒂夫·布鲁斯（Steve Bruce **） - 史蒂夫·布鲁斯（Steve Bruce）是一位出色的后卫，以其强大的空中能力和领导能力而闻名，周三将曼联和谢菲尔德（Sheffield）冠以重要的国内冠军。9。**菲尔·内维尔**： - 菲尔·内维尔（Phil Neville）的包容性很可能是由于他在2000年代初成功时期的右后卫的一致性和战术情报所致。10。 - 加雷斯·索斯盖特（Gareth Southgate）一直是英格兰的重要后卫，他以球场上和球场的领导而闻名。11。**保罗·帕克**： - 保罗·帕克（Paul Parker）是另一个可靠的右后卫，他为90年代和2000年代初的托特纳姆热刺（Totterham Hotspur）做出了重要贡献。###关键参与者的详细分解： - **鲍比·摩尔（Bobby Moore）**：毫无疑问，鲍比·摩尔（Bobby Moore）在英格兰世界杯冠军期间的队长无与伦比。在压力下，他的防御智慧和平静是他风格的标志。 - **比利·赖特（Billy Wright）**：开创性的后卫为职业足球的长寿设定了标准，并通过多个世界杯冠军英格兰队。 - **加里·内维尔（Gary Neville）**：加里·内维尔（Gary Neville）的一致性和战术意识使他成为英超联赛时代的右后卫，这是曼联成功的基石。 - **约翰·特里（John Terry）**：约翰·特里（John Terry）以切尔西（Chelsea）的空中能力和领导力而闻名，对球队的防守坚固性和获胜的竞选活动至关重要。这份名单上的每个球员都为他们的球队的成功做出了重大贡献，并被认为是英格兰最好的捍卫者之一。
避孕药可以降低卵巢癌的风险吗？|新闻
2025-02-02 20:30:00
南澳大利亚大学的新研究表明，对于45岁以后开始使用的女性，使用口服避孕药可以将卵巢癌风险降低多达43％。该研究还确定了与卵巢癌风险相关的生物标志物，包括红细胞的特征和肝酶，体重较低，地位较短与风险降低相关。与没有孩子的孩子相比，发现两个或更多儿童的妇女的风险低39％。人工智能用于分析该研究的200,000多名女性的数据，该数据通过诊断前几年的预测血液测量来强调潜在的早期检测方法。
南澳大利亚大学的新研究表明，对于45岁以后开始使用的女性，使用口服避孕药可以将卵巢癌风险降低多达43％。该研究还确定了与卵巢癌风险相关的生物标志物，包括红细胞的特征和肝酶，体重较低，地位较短与风险降低相关。与没有孩子的孩子相比，发现两个或更多儿童的妇女的风险低39％。人工智能用于分析该研究的200,000多名女性的数据，该数据通过诊断前几年的预测血液测量来强调潜在的早期检测方法。
心理学家如何通过研究人类思想来启动AI
2025-02-02 19:27:50
心理学在人工智能（AI）的发展中发挥了至关重要的作用，提供了对人类认知，学习和行为的见解，这些见解影响了AI从20世纪中叶心理学到现代深度学习系统的发展。关键贡献包括唐纳德·赫布（Donald Hebb）的脑细胞连接模型，弗兰克·罗森布拉特（Frank Rosenblatt）的感知者，戴维·鲁梅尔哈特（David Rumelhart）的反向传播方法以及杰弗里·欣顿（Geoffrey Hinton）在神经网络上的工作，这是2024年诺贝尔物理学奖的认可。当前的研究旨在增强AI的反思性推理（元认知）和流动性智力，同时还应对诸如心理见解指导的可解释的AI输出之类的挑战。随着技术的不断发展，心理学对于理解AI如何影响人类认知和学习仍然至关重要。
心理学在人工智能（AI）的发展中发挥了至关重要的作用，提供了对人类认知，学习和行为的见解，这些见解影响了AI从20世纪中叶心理学到现代深度学习系统的发展。关键贡献包括唐纳德·赫布（Donald Hebb）的脑细胞连接模型，弗兰克·罗森布拉特（Frank Rosenblatt）的感知者，戴维·鲁梅尔哈特（David Rumelhart）的反向传播方法以及杰弗里·欣顿（Geoffrey Hinton）在神经网络上的工作，这是2024年诺贝尔物理学奖的认可。当前的研究旨在增强AI的反思性推理（元认知）和流动性智力，同时还应对诸如心理见解指导的可解释的AI输出之类的挑战。随着技术的不断发展，心理学对于理解AI如何影响人类认知和学习仍然至关重要。
苹果的下一部iPhone可能是迄今为止最好的iPhone
2025-02-02 19:07:00
苹果有望在2025年推出iPhone SE，其价格较低，具有先进的AI功能和高端规格。手机包括一个A18芯片组和增加内存，以支持苹果的新智能套件。尽管进行了这些升级，但对定价的潜在增加引起了担忧，马克·古尔曼（Mark Gurman）提出499美元的起价，这可能会影响金砖四国之类的增长市场的销售。iPhone SE的成功取决于其功能和负担能力的结合是否与消费者的喜好保持一致。
苹果有望在2025年推出iPhone SE，其价格较低，具有先进的AI功能和高端规格。手机包括一个A18芯片组和增加内存，以支持苹果的新智能套件。尽管进行了这些升级，但对定价的潜在增加引起了担忧，马克·古尔曼（Mark Gurman）提出499美元的起价，这可能会影响金砖四国之类的增长市场的销售。iPhone SE的成功取决于其功能和负担能力的结合是否与消费者的喜好保持一致。
2025-02-02 18:46:00
The AI business model is built on hype. That’s the real reason the tech bros fear DeepSeek | Kenan Malik The launch of DeepSeek R1 by Chinese developers has caused significant disruption in the tech industry, leading to stock market fluctuations and discussions about US technological dominance. However, while DeepSeek is a notable achievement, it does not represent a technical leap over existing large language models (LLMs) like ChatGPT or Claude; instead, it demonstrates that advanced AI can be developed at a lower cost using less sophisticated technology. DeepSeek's impact lies more in its economic implications and the democratization of AI through open-source availability, challenging perceptions of AI as神秘的和遥不可及的技术。这一成就揭示了美国在AI领域的宣传策略，并质疑了通过“规模扩展”而非重大科学突破来推进AI技术的有效性。 N o, it was not a âSputnik momentâ. The launch last month of DeepSeek R1 , the Chinese generative AI or chatbot, created mayhem in the tech world, with stocks plummeting and much chatter about the US losing its supremacy in AI technology. Yet, for all the disruption, the Sputnik analogy reveals less about DeepSeek than about American neuroses. The original Sputnik moment came on 4 October 1957 when the Soviet Union shocked the world by launching Sputnik 1, the first time humanity had sent a satellite into orbit. It was, to anachronistically borrow a phrase from a later and even more momentous landmark, âone giant leap for mankindâ, in Neil Armstrongâs historic words as he took a âsmall stepâ on to the surface of the moon. It was a significant moment in the cold war, too. A confidential White House report worried that âAmerican prestigeâ had âsustained a severe blowâ, giving the USSR âclear advantage in the cold warâ. That fear spurred Washington into reshaping its space programme, and catalysed the Apollo missions, culminating with Armstrong and Buzz Aldrin becoming, on 20 July 1969, the first humans to walk upon another celestial body. DeepSeek, sponsored by a Chinese hedge fund, is a notable achievement. Technically, though, it is no advance on large language models (LLMs) that already exist. It is neither faster nor âclevererâ than OpenAIâs ChatGPT or Anthropicâs Claude and just as prone to â hallucinations â â the tendency, exhibited by all LLMs, to give false answers or to make up âfactsâ to fill gaps in its data. According to NewsGuard, a rating system for news and information websites, DeepSeekâs chatbot made false claims 30% of the time and gave no answers to 53% of questions, compared with 40% and 22% respectively for the 10 leading chatbots in NewsGuardâs most recent audit . The figures expose the profound unreliability of all LLMs. DeepSeekâs particularly high non-response rate is likely to be the product of its censoriousness ; it refuses to provide answers on any issue that China finds sensitive or about which it wants facts restricted, whether Tiananmen Square or Taiwan. The true impact of DeepSeek is not on the technology but on the economics of AI. It is a chatbot as capable, and as flawed, as other current leading models, but built at a fraction of the cost and from inferior technology. The US ban on the sale to China of the most advanced chips and chip-making equipment, imposed by the Biden administration in 2022, and tightened several times since, was designed to curtail Beijingâs access to cutting-edge technology. Paradoxically, it may have spurred Chinese researchers into becoming more innovative. DeepSeek is also free to use, and open source. The combination of low cost and openness may help democratise AI technology, enabling others, especially from outside America, to enter the market. There is a certain irony that it should be China that is opening up the technology while US firms continue to create as many barriers as possible to competitors attempting to enter the field. And here lies perhaps the biggest impact of DeepSeek. It has ripped off the veil of mystique that previously surrounded AI. Silicon Valley has nurtured the image of AI technology as a precious and miraculous accomplishment, and portrayed its leading figures, from Elon Musk to Sam Altman , as prophets guiding us into a new world. The technology itself has been endowed with almost magical powers, including the promise of âartificial general intelligenceâ, or AGI â superintelligent machines capable of surpassing human abilities on any cognitive task â as being almost within our grasp. Last April, Musk predicted that AI would be â smarter than any human â by the end of 2025. Last month, Altman, the CEO of OpenAI, the driving force behind the current generative AI boom, similarly claimed to be âconfident we know how to build AGI â and that âin 2025, we may see the first AI agents âjoin the workforceââ. Almost a decade ago, the Nobel prize-winning computer scientist Geoff Hinton urged nations to â stop training radiologists â, and similar medical technicians, because âitâs completely obvious within five years, deep learning [AI] is going to do betterâ. Dario Amodei, the CEO of Anthropic, a corporation founded by former OpenAI employees, has claimed that AI could double the human lifespan within five to 10 years. These fantasy claims have been shredded by critics such as the American cognitive scientist Gary Marcus , who has even challenged Musk to a $1m bet over his âsmarter than any humanâ claim for AI. Nevertheless, for all the pushback, each time one fantasy prediction fails to materialise, another takes its place. Such claims derive less from technological possibilities than from political and economic needs. While AI technology has provided hugely important tools, capable of surpassing humans in specific fields, from the solving of mathematical problems to the recognition of disease patterns, the business model depends on hype . It is the hype that drives the billion-dollar investment and buys political influence, including a seat at the presidential inauguration. skip past newsletter promotion after newsletter promotion It is also an approach that seeks to advance AI less through major scientific breakthroughs than through a brute force strategy of âscaling upâ â building bigger models, using larger datasets, and deploying vastly greater computational power. The disruptive quality of DeepSeek lies in questioning this approach, demonstrating that the best generative AI models can be matched with much less computational power and a lower financial burden. The hype around DeepSeek is in part a reflection of the hype around AI. It is a reflection, too, of geopolitical tensions. Had DeepSeek been created by geeks at a US university, it would most likely have been feted but without the global tumult of the past two weeks. Beneath the panic lies fear of DeepSeekâs Chinese origins and ownership. Yet, too great an obsession with the geopolitics of DeepSeek can distort the lessons we take from it. The promise of more open access to such vital technology becomes subsumed into a fear of its Chinese provenance. Concerns about privacy, censorship and surveillance, rightly raised by a model such as DeepSeek, can help obscure the reality that such issues bedevil all AI technology , not just that from China. Particularly at a time of threatened trade wars and threats to democracy, our capacity to navigate between the hype and the fear assumes new importance.
The AI business model is built on hype. That’s the real reason the tech bros fear DeepSeek | Kenan Malik The launch of DeepSeek R1 by Chinese developers has caused significant disruption in the tech industry, leading to stock market fluctuations and discussions about US technological dominance. However, while DeepSeek is a notable achievement, it does not represent a technical leap over existing large language models (LLMs) like ChatGPT or Claude; instead, it demonstrates that advanced AI can be developed at a lower cost using less sophisticated technology. DeepSeek's impact lies more in its economic implications and the democratization of AI through open-source availability, challenging perceptions of AI as神秘的和遥不可及的技术。这一成就揭示了美国在AI领域的宣传策略，并质疑了通过“规模扩展”而非重大科学突破来推进AI技术的有效性。 N o, it was not a âSputnik momentâ. The launch last month of DeepSeek R1 , the Chinese generative AI or chatbot, created mayhem in the tech world, with stocks plummeting and much chatter about the US losing its supremacy in AI technology. Yet, for all the disruption, the Sputnik analogy reveals less about DeepSeek than about American neuroses. The original Sputnik moment came on 4 October 1957 when the Soviet Union shocked the world by launching Sputnik 1, the first time humanity had sent a satellite into orbit. It was, to anachronistically borrow a phrase from a later and even more momentous landmark, âone giant leap for mankindâ, in Neil Armstrongâs historic words as he took a âsmall stepâ on to the surface of the moon. It was a significant moment in the cold war, too. A confidential White House report worried that âAmerican prestigeâ had âsustained a severe blowâ, giving the USSR âclear advantage in the cold warâ. That fear spurred Washington into reshaping its space programme, and catalysed the Apollo missions, culminating with Armstrong and Buzz Aldrin becoming, on 20 July 1969, the first humans to walk upon another celestial body. DeepSeek, sponsored by a Chinese hedge fund, is a notable achievement. Technically, though, it is no advance on large language models (LLMs) that already exist. It is neither faster nor âclevererâ than OpenAIâs ChatGPT or Anthropicâs Claude and just as prone to â hallucinations â â the tendency, exhibited by all LLMs, to give false answers or to make up âfactsâ to fill gaps in its data. According to NewsGuard, a rating system for news and information websites, DeepSeekâs chatbot made false claims 30% of the time and gave no answers to 53% of questions, compared with 40% and 22% respectively for the 10 leading chatbots in NewsGuardâs most recent audit . The figures expose the profound unreliability of all LLMs. DeepSeekâs particularly high non-response rate is likely to be the product of its censoriousness ; it refuses to provide answers on any issue that China finds sensitive or about which it wants facts restricted, whether Tiananmen Square or Taiwan. The true impact of DeepSeek is not on the technology but on the economics of AI. It is a chatbot as capable, and as flawed, as other current leading models, but built at a fraction of the cost and from inferior technology. The US ban on the sale to China of the most advanced chips and chip-making equipment, imposed by the Biden administration in 2022, and tightened several times since, was designed to curtail Beijingâs access to cutting-edge technology. Paradoxically, it may have spurred Chinese researchers into becoming more innovative. DeepSeek is also free to use, and open source. The combination of low cost and openness may help democratise AI technology, enabling others, especially from outside America, to enter the market. There is a certain irony that it should be China that is opening up the technology while US firms continue to create as many barriers as possible to competitors attempting to enter the field. And here lies perhaps the biggest impact of DeepSeek. It has ripped off the veil of mystique that previously surrounded AI. Silicon Valley has nurtured the image of AI technology as a precious and miraculous accomplishment, and portrayed its leading figures, from Elon Musk to Sam Altman , as prophets guiding us into a new world. The technology itself has been endowed with almost magical powers, including the promise of âartificial general intelligenceâ, or AGI â superintelligent machines capable of surpassing human abilities on any cognitive task â as being almost within our grasp. Last April, Musk predicted that AI would be â smarter than any human â by the end of 2025. Last month, Altman, the CEO of OpenAI, the driving force behind the current generative AI boom, similarly claimed to be âconfident we know how to build AGI â and that âin 2025, we may see the first AI agents âjoin the workforceââ. Almost a decade ago, the Nobel prize-winning computer scientist Geoff Hinton urged nations to â stop training radiologists â, and similar medical technicians, because âitâs completely obvious within five years, deep learning [AI] is going to do betterâ. Dario Amodei, the CEO of Anthropic, a corporation founded by former OpenAI employees, has claimed that AI could double the human lifespan within five to 10 years. These fantasy claims have been shredded by critics such as the American cognitive scientist Gary Marcus , who has even challenged Musk to a $1m bet over his âsmarter than any humanâ claim for AI. Nevertheless, for all the pushback, each time one fantasy prediction fails to materialise, another takes its place. Such claims derive less from technological possibilities than from political and economic needs. While AI technology has provided hugely important tools, capable of surpassing humans in specific fields, from the solving of mathematical problems to the recognition of disease patterns, the business model depends on hype . It is the hype that drives the billion-dollar investment and buys political influence, including a seat at the presidential inauguration. skip past newsletter promotion after newsletter promotion It is also an approach that seeks to advance AI less through major scientific breakthroughs than through a brute force strategy of âscaling upâ â building bigger models, using larger datasets, and deploying vastly greater computational power. The disruptive quality of DeepSeek lies in questioning this approach, demonstrating that the best generative AI models can be matched with much less computational power and a lower financial burden. The hype around DeepSeek is in part a reflection of the hype around AI. It is a reflection, too, of geopolitical tensions. Had DeepSeek been created by geeks at a US university, it would most likely have been feted but without the global tumult of the past two weeks. Beneath the panic lies fear of DeepSeekâs Chinese origins and ownership. Yet, too great an obsession with the geopolitics of DeepSeek can distort the lessons we take from it. The promise of more open access to such vital technology becomes subsumed into a fear of its Chinese provenance. Concerns about privacy, censorship and surveillance, rightly raised by a model such as DeepSeek, can help obscure the reality that such issues bedevil all AI technology , not just that from China. Particularly at a time of threatened trade wars and threats to democracy, our capacity to navigate between the hype and the fear assumes new importance.
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在Chatgpt取得成功之后，Openai旨在与Jony Ive合作开发一种新的AI特定设备，并有可能破坏技术硬件，与2007年iPhone的表现类似。首席执行官Sam Altman呼吁日本公司参与5000亿美元星际之门的项目将与中国竞争，并计划与日本总理Shigeru Ishiba会面。
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软银集团并开设了AI计划，以建立日本的AI基础设施，包括专业数据中心和发电厂。2025年2月3日，Open AI和软银首席执行官Masayoshi儿子的首席执行官Sam Altman将会与日本总理Shigeru Ishiba会面。这两家公司正在东京组织一次会议，供500多家日本公司在各个领域合作，旨在利用行业数据来开发生成性AI。