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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.
首席执行官Sam Altman说，Openai将开发AI特定的硬件
2025-02-02 17:06:00
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。
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。
NVIDIA首席执行官Jensen Huang说，每个人都应该立即获得AI导师
2025-02-02 16:30:00
芯片行业的领导者声称，技术应协助人类学习，但不能预见到它取代劳动力中的人类。
芯片行业的领导者声称，技术应协助人类学习，但不能预见到它取代劳动力中的人类。
软银，打开AI致电500家公司，以帮助建立日本AI网络
2025-02-02 16:30:00
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。
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。
男子因筹集6000万美元的AI创业公司而被捕，而是花在豪华的生活方式上
2025-02-02 15:45:57
总部位于旧金山的AI创业公司的创始人亚历克斯·贝克曼（Alex Beckman）因涉嫌涉及超过6000万美元的投资者资金而被捕。检察官声称贝克曼和他的妻子瓦莱丽·劳（Valerie Lau）通过对公司财务和诸如NBA和可口可乐等主要客户的收入的虚假主张欺骗了投资者。据称，这对夫妇将资金用于个人支出，包括房地产，珠宝和特斯拉。自从7月发现缺少1100万美元现金的情况下，在平台上一直面临严重的财务问题，从而裁员了所有50名员工。贝克曼面临严重的指控，包括串谋实施欺诈和妨碍司法公正。
总部位于旧金山的AI创业公司的创始人亚历克斯·贝克曼（Alex Beckman）因涉嫌涉及超过6000万美元的投资者资金而被捕。检察官声称贝克曼和他的妻子瓦莱丽·劳（Valerie Lau）通过对公司财务和诸如NBA和可口可乐等主要客户的收入的虚假主张欺骗了投资者。据称，这对夫妇将资金用于个人支出，包括房地产，珠宝和特斯拉。自从7月发现缺少1100万美元现金的情况下，在平台上一直面临严重的财务问题，从而裁员了所有50名员工。贝克曼面临严重的指控，包括串谋实施欺诈和妨碍司法公正。
这两个加密货币可能很快就可以飞行。Motley傻瓜
2025-02-02 15:41:00
文章讨论了人工智能（AI）推动加密货币需求的潜力，特别是因为AI代理可能需要资源相互交易。根据Coingecko的说法，AI代理硬币的市值在第4季度2024年增长了322％，达到155亿美元左右，引起了巨大的投资者权益。本文确定了两个区块链，即Solana和以太坊，因为他们当前的能力和开发人员生态系统可能受益人。Solana的低汽油费，快速交易时间和开发计划的既定框架使其对与AI相关的发布有吸引力，而该平台上有近56％的AI代理硬币发射。同时，以太坊受益于更大的熟练开发商基础和AI代理硬币中现有的大量流动性，这使其风险较小，但也面临着诸如高汽油费之类的挑战。这两个平台都呈现与AI驱动的加密货币交易新兴领域相关的投资机会。
文章讨论了人工智能（AI）推动加密货币需求的潜力，特别是因为AI代理可能需要资源相互交易。根据Coingecko的说法，AI代理硬币的市值在第4季度2024年增长了322％，达到155亿美元左右，引起了巨大的投资者权益。本文确定了两个区块链，即Solana和以太坊，因为他们当前的能力和开发人员生态系统可能受益人。Solana的低汽油费，快速交易时间和开发计划的既定框架使其对与AI相关的发布有吸引力，而该平台上有近56％的AI代理硬币发射。同时，以太坊受益于更大的熟练开发商基础和AI代理硬币中现有的大量流动性，这使其风险较小，但也面临着诸如高汽油费之类的挑战。这两个平台都呈现与AI驱动的加密货币交易新兴领域相关的投资机会。
忘记十亿美元的公司 - AI会创造十亿美元的人吗？
2025-02-02 15:30:00
促进AI公司的广告牌宣布“停止雇用人类”，这反映了首席执行官之间不断增长的趋势，优先考虑采用AI，以提高生产率和减少劳动力需求。尽管组织目前将AI视为自动化和降低成本的工具，但可能会转向个人利用AI来构建独立的经济引擎。LinkedIn的工作变更报告强调，有88％的C-Suite领导者正在优先采用AI，许多企业的收入增加。但是，随着AI接管常规任务，创造力，交流和同情等独特的人类技能的兴起变得越来越重要。这种转变可能会导致未来，十亿美元的个人出现，在传统的公司结构之外运作，并受益于AI促进的分散经济模式。
促进AI公司的广告牌宣布“停止雇用人类”，这反映了首席执行官之间不断增长的趋势，优先考虑采用AI，以提高生产率和减少劳动力需求。尽管组织目前将AI视为自动化和降低成本的工具，但可能会转向个人利用AI来构建独立的经济引擎。LinkedIn的工作变更报告强调，有88％的C-Suite领导者正在优先采用AI，许多企业的收入增加。但是，随着AI接管常规任务，创造力，交流和同情等独特的人类技能的兴起变得越来越重要。这种转变可能会导致未来，十亿美元的个人出现，在传统的公司结构之外运作，并受益于AI促进的分散经济模式。
自我学习的AI使NFL传播，超越和金钱线的选秀权与超级碗59中的老鹰队
2025-02-02 15:20:22
超级碗59将于2月9日在新奥尔良的凯撒超级托姆（Caesars Superdome）举行，堪萨斯城酋长（AFC）面对费城老鹰队（NFC）。这次超级碗比赛的重赛57认为，由于两支球队的强大防守，酋长是轻微的最爱，总得分预测低于49.5分。Sportsline的AI Pickbot预测，平均得分为48分，有利于下注。
超级碗59将于2月9日在新奥尔良的凯撒超级托姆（Caesars Superdome）举行，堪萨斯城酋长（AFC）面对费城老鹰队（NFC）。这次超级碗比赛的重赛57认为，由于两支球队的强大防守，酋长是轻微的最爱，总得分预测低于49.5分。Sportsline的AI Pickbot预测，平均得分为48分，有利于下注。