阅读理解之人工智能类语篇10篇-【高考英语考前特训】题型专练（精选2024年各地市模拟好题）

【高考英语考前特训】题型专练（精选2024年模拟好题） 阅读理解 人工智能类语篇10篇（含答案解析） A （2024·北京延庆·一模）It is rapidly emerging as one of the most important technological, and increasingly ideological, divides of our times: should powerful generative artificial intelligence systems be open or closed? Supporters say they broaden access to the technology, stimulate innovation and improve reliability by encouraging outside scrutiny. Far cheaper to develop and deploy, smaller open models also inject competition into a field dominated by big US companies such as Google. Microsoft and OpenAI that have invested billions developing massive, closed and closely controlled generative Al systems. But detractors argue open models risk lifting the lid on a Pandora’s box of troubles. Bad actors can exploit them to spread personalised disinformation, while terrorists might use them to manufacture cyber or bio weapons. “The danger of open source is that it enables more crazies to do crazy things, “Geoffrey Hinton, one of the pioneers of modern AI, has warned. The history of OpenAI, which developed the popular ChatGPT chatbot, is itself instructive. As its name suggests, the research company was founded in 2015 with a commitment to develop the technology as openly as possible. But it later abandoned that approach for both competitive and safety reasons. Once OpenAI realised that its generative AI models were going to be “unbelievably potent”, it made little sense to open source them, Ilya Sutskever, OpenAI’s chief scientist said. Supporters of open models hit back, ridiculing the idea that open generative AI models enable people to access information they could not otherwise find from the internet or a rogue scientist. They also highlight the competitive self-interest of the big tech companies in shouting about the dangers of open models, whose intention is to establish their own market dominance strongly. But there is an ideological dimension to this debate, too. Yann LeCun, chief scientist of Meta, has like