[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fwpuTjoSJEiA_Abu1zrOhvcYk-lQk7uZooKnEE1_vTEI":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1360,"外滩大会正式开幕！图灵奖得主理查德·萨顿：对人工智能的恐惧被夸大了","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">9月11日上午，2025 Inclusion·外滩大会在上海黄浦世博园区开幕。2024年图灵奖得主、“强化学习之父”理查德·萨顿（Richard Sutton）以视频形式发表主旨演讲：他认为，人类数据红利正逼近极限，人工智能正在进入以持续学习为核心的“经验时代”，潜力将远超以往。谈及人类对于人工智能带来的偏见和担忧，他认为，这种对人工智能的恐惧被夸大了。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F09\u002F21fa673bbf654af6ba138d670e3edc0a\u002FAA1MkfD7.jpg\" width=\"undefined\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp class=\"ql-align-center\">\u003Cspan style=\"color: rgb(187, 187, 187);\">2024年图灵奖得主理查德·萨顿以视频形式发表主旨演讲。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">萨顿谈道，今天大多数机器学习的目标，是把人类已有的知识转移到静态、缺乏自主学习能力的AI上。“我们逐渐达到人类数据的极限，现有的方法不能生成新的知识，不适合持续学习，而持续学习对智能的效用至关重要。”他说，我们正进入“经验时代”，需要一种新的数据源，由智能体与世界直接交互中生成。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">萨顿解释，“经验”指的是观察、行动和奖励，这三种信号在智能体与世界之间来回传递。“知识来自经验，可以从经验中学习。一个智能体的智能程度，取决于它能够预测并控制自身输入信号的程度。经验是一切智能的核心与基础。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">面对外界对AI带来偏见、失业甚至人类灭绝的担忧，萨顿认为，这种对人工智能的恐惧被夸大了。他以经济社会的运行为例，只有当每个人有不同的目标和能力时，经济才能运行得最好。同样，目标不同的智能体，可以通过去中心化的协作实现双赢。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“人类最卓越的超能力，就在于比其他任何动物都更擅长协作。人类最伟大的成功在于协作本身。”萨顿表示，人工智能和人类繁荣将来自去中心化协作。“协作并非总能实现，却是世间一切美好事物的源泉，我们必须寻求协作、支持协作，并致力于将协作制度化。”\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">展望人工智能的未来，他提出了四条现实的“预测原则”：第一，对世界应该如何运转并没有共识，但没有哪一种看法能够凌驾于其他；第二，人类将真正理解智能，并借助技术将其创造出来；第三，当今人类的智力水平，很快将会被超级人工智能，或者超级智能增强的人类远远超越；第四，资源会流向最聪明的智能体。基于此，他认为，在人类的发展进程中，人工智能的替代将是不可避免的。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">放眼宇宙的历史，萨顿将其分为四个时代：粒子时代、恒星时代、复制者时代和设计时代。他认为人类的独特之处在于“把设计推向极致”，创造出能自己设计的事物，这也正是今天通过人工智能所追求的目标。人类至少是催化剂，是助产士，更是开启宇宙第四大时代“设计时代”的先驱。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“人工智能是宇宙演化的必然下一步，我们应以勇气、自豪和冒险精神来迎接它。”萨顿表示。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】上游新闻记者 杨昕华 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002F%E5%A4%96%E6%BB%A9%E5%A4%A7%E4%BC%9A%E6%AD%A3%E5%BC%8F%E5%BC%80%E5%B9%95-%E5%9B%BE%E7%81%B5%E5%A5%96%E5%BE%97%E4%B8%BB%E7%90%86%E6%9F%A5%E5%BE%B7-%E8%90%A8%E9%A1%BF-%E5%AF%B9%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E7%9A%84%E6%81%90%E6%83%A7%E8%A2%AB%E5%A4%B8%E5%A4%A7%E4%BA%86\u002Far-AA1MkmGo?ocid=msedgntphdr&cvid=68c37200bb184a42be4752391218fe40&ei=70\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">http:\u002F\u002Fi9n.cn\u002FNxTzf\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F09\u002F996162e1413e4222968e2e66f507bb1a\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F09\u002Fthumbs\u002F996162e1413e4222968e2e66f507bb1a\u002FAI领域.jpg",0,1,41,"2025-09-15 18:15",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A7d478352-2ba4-47c8-afd4-d89d5f426f3b%3A0.wav?Expires=1757935448&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=%2FuWEdgMB3SRiKfF4OKr7uVqCF6k%3D",5585160,"7d478352-2ba4-47c8-afd4-d89d5f426f3b","2025-09-15 18:12","The Bund Conference has officially opened! Turing Award winner Richard Sutton: Fear of artificial intelligence is exaggerated","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">On the morning of September 11, the 2025 Inclusion · Bund Conference was inaugurated at the Huangpu Expo Park in Shanghai. The 2024 Turing Award winner and \"father of reinforcement learning,\" Richard Sutton, delivered a keynote speech in video format: He believes that the human data advantage is approaching its limit, and artificial intelligence is entering an \"experience era\" centered on continuous learning, with potential far exceeding previous times. Regarding human biases and concerns brought about by artificial intelligence, he believes that fear of artificial intelligence is exaggerated.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F09\u002F21fa673bbf654af6ba138d670e3edc0a\u002FAA1MkfD7.jpg\" width=\"undefined\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp class=\"ql-align-center\">\u003Cspan style=\"color: rgb(187, 187, 187);\">Richard Sutton, the 2024 Turing Award winner, gave a keynote speech in video format.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Sutton said that the goal of most machine learning today is to transfer existing human knowledge to static AI without autonomous learning capabilities. \"We are gradually reaching the limit of human data, and current methods cannot generate new knowledge, which is not suitable for continuous learning, which is crucial for the utility of intelligence.\" He said we are entering the \"experience era,\" requiring a new data source generated by direct interaction between agents and the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Sutton explained that \"experience\" refers to observations, actions, and rewards, three signals that are passed back and forth between agents and the world. \"Knowledge comes from experience, and can be learned from experience. The intelligence of an agent depends on how well it can predict and control its input signals. Experience is the core and foundation of all intelligence.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Faced with concerns about AI causing bias, unemployment, or even human extinction, Sutton believes that fear of artificial intelligence is exaggerated. He used the operation of the economy and society as an example, stating that the economy runs best when everyone has different goals and abilities. Similarly, agents with different goals can achieve a win-win through decentralized collaboration.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"The most outstanding superpower of humans lies in their superior ability to collaborate compared to any other animal. The greatest success of humanity lies in collaboration itself,\" Sutton said. He stated that the prosperity of artificial intelligence and humans will come from decentralized collaboration. \"Collaboration is not always achievable, but it is the source of all good things in the world. We must seek collaboration, support collaboration, and strive to institutionalize collaboration.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Looking into the future of artificial intelligence, he proposed four realistic \"prediction principles\": First, there is no consensus on how the world should operate, but no view can dominate over others. Second, humans will truly understand intelligence and use technology to create it. Third, the current level of human intelligence will soon be surpassed by super artificial intelligence or humans enhanced by super intelligence. Fourth, resources will flow to the smartest agents. Based on this, he believes that the replacement by artificial intelligence in human development is inevitable.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Looking at the history of the universe, Sutton divided it into four eras: the particle era, the star era, the replicator era, and the design era. He believes that the uniqueness of humans lies in \"pushing design to the extreme,\" creating things that can design themselves, which is also the goal pursued today through artificial intelligence. Humans are at least a catalyst, a midwife, and a pioneer in opening up the fourth great era of the universe, the \"design era.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\"Artificial intelligence is the inevitable next step in the evolution of the universe. We should welcome it with courage, pride, and a spirit of adventure,\" Sutton said.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">[News Source] Upstream News Reporter Yang Xin Hua \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002F%E5%A4%96%E6%BB%A9%E5%A4%A7%E4%BC%9A%E6%AD%A3%E5%BC%8F%E5%BC%80%E5%B9%95-%E5%9B%BE%E7%81%B5%E5%A5%96%E5%BE%97%E4%B8%BB%E7%90%86%E6%9F%A5%E5%BE%B7-%E8%90%A8%E9%A1%BF-%E5%AF%B9%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E7%9A%84%E6%81%90%E6%83%A7%E8%A2%AB%E5%A4%B8%E5%A4%A7%E4%BA%86\u002Far-AA1MkmGo?ocid=msedgntphdr&cvid=68c37200bb184a42be4752391218fe40&ei=70\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">http:\u002F\u002Fi9n.cn\u002FNxTzf\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is reprinted by this website to provide readers with more information and news. The content does not constitute investment or consumption advice. If there are any questions about the facts in the article, please verify with the relevant parties. The views expressed in the article are not the views of this website and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A6e20c8d0-089d-494e-b2f9-ab2e0e4618c1%3A0.wav?Expires=1774838471&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=cDY0zw9%2FN0gZ6XvkGNqd2BQV72g%3D","6e20c8d0-089d-494e-b2f9-ab2e0e4618c1",7434970]