Genius Makers, by Cade Metz — the tribal war in AI - FT中文网
登录×
电子邮件/用户名
密码
记住我
请输入邮箱和密码进行绑定操作:
请输入手机号码,通过短信验证(目前仅支持中国大陆地区的手机号):
请您阅读我们的用户注册协议隐私权保护政策,点击下方按钮即视为您接受。
观点 人工智能

Genius Makers, by Cade Metz — the tribal war in AI

A guide to an intellectual counter-revolution that is already transforming the world
00:00
{"text":[[{"start":13.26,"text":"It may not be on the level of the Montagues and the Capulets, or the Sharks and the Jets, but in the world of geeks the rivalry is about as intense as it gets. "},{"start":21.652,"text":"For decades, two competing “tribes” of artificial intelligence experts have been furiously duelling with each other in research labs and conference halls around the world. "},{"start":30.006999999999998,"text":"But rather than swords or switchblades, they have wielded nothing more threatening than mathematical models and computer code. "}],[{"start":37.04,"text":"On one side, the “connectionist” tribe believes that computers can learn behaviour in the same way as humans do, by processing a vast array of interconnected calculations. "},{"start":46.107,"text":"On the other, the “symbolists” argue that machines can only follow discrete rules. "},{"start":50.562,"text":"The machine’s instructions are contained in specific symbols, such as digits and letters. "}],[{"start":55.79,"text":"After an initial burst of enthusiasm for connectionist thinking among AI pioneers, the symbolist tribe came to dominate as researchers realised that human and machine intelligence are very different attributes. "},{"start":66.744,"text":"But over the past decade the maverick connectionists have had their revenge, making many of the most striking advances in AI, such as speech and image recognition systems, conversational chatbots, semi-autonomous cars and the AlphaGo program that famously beat the world’s strongest champion in the fiendishly complex game of Go in 2016. "}],[{"start":85.71000000000001,"text":"This intellectual counter-revolution that is now rapidly transforming the world is the subject of technology writer Cade Metz’s colourful and readable book, Genius Makers. "},{"start":94.77700000000002,"text":"As computers steadily encroach into almost every corner of our lives, these AI researchers are emerging as the architects of our algorithmic age, shaping the information we absorb and the decisions we make. "},{"start":105.78200000000001,"text":"It is important to know more about who they are and what they think. "}],[{"start":null,"text":"
"}],[{"start":109.97000000000001,"text":"As Metz explains, the connectionist concept of neural networks, that mimic the functioning of the human brain, dates back to the 1950s. "},{"start":117.82400000000001,"text":"But by the turn of the century, most AI researchers had abandoned the field as a dead end. "},{"start":122.85400000000001,"text":"Marvin Minsky, one of AI’s most formidable and intimidating pioneers, ridiculed its practitioners, telling one researcher: “How can an intelligent young man like you waste your time with something like this? ”"}],[{"start":134.86,"text":"However, a “neural network underground”, as one researcher called it, kept the faith alive. "},{"start":140.46400000000003,"text":"One champion was Geoffrey Hinton, a scion of a British scientific family and professor at the University of Toronto, who reanimated the field with extraordinary vision and determination, in spite of enduring the loss of two wives to cancer and a back condition that left him unable to sit. "}],[{"start":null,"text":"

There was a scrambled to sign up the world’s top researchers, who could command salaries comparable with NFL quarterbacks

"}],[{"start":156.12,"text":"As computers became more powerful, data sets exploded in size, and algorithms became more sophisticated, deep learning researchers, such as Hinton, were able to produce ever more impressive results that could no longer be ignored by the mainstream AI community. "},{"start":170.637,"text":"Metz describes the personal histories and advances of several of these experts, including Yann LeCun, Yoshua Bengio, Andrew Ng and Demis Hassabis, the co-founder of the London-based DeepMind, which invented the AlphaGo program. "}],[{"start":184.01,"text":"When the potential of these deep learning systems were realised, big tech companies such as Google, Facebook, Amazon, Microsoft and Baidu in China scrambled to sign up the top researchers, who could command salaries comparable with NFL quarterbacks’. "},{"start":197.464,"text":"Hinton ran an auction for his three-person start-up before selling to Google for $44m in 2012. "},{"start":203.65699999999998,"text":"Staff costs at DeepMind, also acquired by Google in 2014, run at about $371,000 per employee. "}],[{"start":212.13,"text":"As you would expect from a New York Times technology reporter, Metz’s book draws on extensive access and meticulous research. "},{"start":219.24699999999999,"text":"Over the course of eight years, he interviewed more than 400 people. "},{"start":222.989,"text":"Yet, though discussed, some of the most contentious issues are hardly explored to the depth they deserve. "}],[{"start":229.53,"text":"Metz records that Margaret Mitchell and Timnit Gebru, the AI ethics researchers who have just been controversially fired by Google, were complaining about the shocking lack of diversity in the field years ago. "},{"start":240.122,"text":"At one AI conference, Gebru counted just six black attendees, all of them men, out of 5,500 participants. "},{"start":247.352,"text":"But Metz does not fully spell out the consequences of this “sea of dudes” problem, as Mitchell describes it. "}],[{"start":253.1,"text":"Nor does he sufficiently interrogate the top researchers about the limitations and voracious energy consumption of their models. "},{"start":259.579,"text":"Their stated ambition of achieving artificial general intelligence (when machine intelligence surpasses human intelligence across every domain) that scares the wits out of many observers is also largely unchallenged. "}],[{"start":271.74,"text":"Genius Makers is a good read, as far as it goes, but the reader is left with the wish that Metz had displayed deeper learning. "}],[{"start":279.23,"text":"Genius Makers: The Mavericks Who Brought AI to Google, Facebook and the World, by Cade Metz, Random House Business, RRP£20, 384 pages "}],[{"start":289.19,"text":"John Thornhill is the FT’s innovation editor "}],[{"start":292.76,"text":"Join our online book group on Facebook at FT Books Café "}],[{"start":296.49,"text":""}]],"url":"https://creatives.ftacademy.cn/album/001091850-1616236361.mp3"}
版权声明:本文版权归FT中文网所有,未经允许任何单位或个人不得转载,复制或以任何其他方式使用本文全部或部分,侵权必究。

随着通胀担忧升温,美联储是否正转向鹰派?

政治动荡和伊朗战争正在对英国经济产生什么影响?德国如何应对这次石油冲击?

中国AI企业在视频生成竞赛中领先美国对手

字节跳动和快手表现优于西方竞争对手,推动广告和娱乐领域的AI视频质量全面提升。

中国数据中心分拆公司计划在新加坡和美国双重上市

DayOne计划按照这座城邦为提振亚洲企业上市而制定的新规,筹集50亿美元。

巴塔哥尼亚从汉坦病毒中汲取的经验

在阿根廷2018年暴发鼠源病毒疫情后,疑有乘客在此遭感染的地区已收紧管控。

永无止境的AI劣质内容正给企业漏洞赏金计划带来压力

“漏洞赏金”计划收到的AI生成的无效报告数量激增。

全球冲突推动地缘政治进入高管课程

中东及其他地区的商学院纷纷回应动荡时期企业对指引日益增长的需求。
设置字号×
最小
较小
默认
较大
最大
分享×