AI听起来高大上，但它需要人类喂给它海量的数据来学习。比如你要让自动驾驶认出红绿灯，或者让ChatGPT听懂人话，就需要有人在成千上万的图片和文本上打标签：这是猫，那是狗，这句话是生气的语气……
I was aware that Tony had studied Classics and Philosophy at university so I was keen to learn how one thing had led to another in the development of his career. He explained that after completing his degree he had been intensively trained in Russian on the Joint Services School for Linguists programme and was also personally very interested in statistics as well as the emerging and exciting world of computers. This meant that after his National Service (which was essentially the JSSL) he took on a job 'demonstrating' a type of early computer, in particular globally, and especially in the Soviet Union. He described the place of these demonstrations as 'fairs' but I suppose we might now call them 'expos'. In a sense, this seemed like a very modest description of his job, when in fact - reading up on Tony's career - he was also involved in the development of code for these devices, but perhaps that's a historical quirk of the period: being a demonstrator of these machines meant really knowing them inside and out to the point of acting on the dev team (AND, one might deduce, being fluent in Russian!).
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