When an artificial intelligence model is created, it doesn't have any knowledge.
当一个人工智能模型被创造出来时，它本身并不具备任何知识。
AI companies like OpenAI teach it different things so that it works properly.
像 OpenAI 这样的人工智能公司会教给它各种知识，使它能够正常工作。
Similar to how babies are taught using various examples like stories, photos, etc., AI models also learn by example.
和婴儿通过故事、照片等例子学习一样，人工智能模型也是通过示例来学习的。
Imagine showing AI photos of cats and dogs. It will learn to tell the differences between them.
想象给人工智能展示猫和狗的照片，它就会学会区分它们。
It's not only about photos. The training of AI models is accomplished by using data from other Internet sources like scientific papers, etc.
训练内容不仅仅是照片，人工智能模型还会通过来自互联网的其他数据，如科学论文等进行训练。
However, recent news reports show that AI companies are running out of data to train their AI models.
然而，最近的新闻报道显示，人工智能公司正面临可用于训练模型的数据短缺。
AI companies need high-quality data to train their AI models.
人工智能公司需要高质量的数据来训练他们的模型。
Imagine such data as a good textbook that helps us learn. Similarly, high-quality data is needed to train AI models.
可以把这些数据想象成帮助我们学习的好教材，同样，高质量的数据对于训练人工智能模型也是必需的。
Recently, AI companies are saying that high-quality data may run out in the next two years.
最近，人工智能公司表示高质量数据可能会在未来两年内耗尽。
Imagine a situation where you have finished all your school textbooks and have nothing new to read.
想象一下，你把学校的所有课本都学完了，没有新的内容可以读。
What would you do then? Would you stop learning there or look for other sources?
那你会怎么办？会停止学习还是去寻找其他来源？
So, AI companies are also making efforts to find other sources to train their AI models.
所以，人工智能公司也在努力寻找新的数据来源来训练他们的模型。
OpenAI is translating some videos to train the latest AI model.
OpenAI 正在翻译一些视频来训练最新的人工智能模型。
Meta has discussed buying a famous publishing house to use all the books to train its AI model.
Meta 曾讨论收购一家著名出版社，以使用所有书籍来训练其人工智能模型。
Some are even considering using synthetic data.
一些公司甚至在考虑使用合成数据。
However, these solutions face certain challenges.
然而，这些解决方案也面临一些挑战。
AI companies are facing criticism for using public data to train their models.
人工智能公司因使用公共数据训练模型而遭到批评。
For example, OpenAI has been criticized for using videos made by humans to train Sora, its video-making AI.
例如，OpenAI 因使用人类制作的视频来训练其视频生成模型 Sora 而受到批评。
People want AI companies to get permission or pay them before using their data.
人们希望人工智能公司在使用他们的数据前应获得许可或给予报酬。
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逐句翻译，不需要序号，先英文然后中文相间
When an artificial intelligence model is created, it doesn't have any knowledge. AI companies like Open AI, teach it different things so that it works properly.
Similar to how babies are taught using various examples like stories, photos, etc, AI models also learn by example, magine showing AI photos of cats and dogs. It will learn to tell the differences between them.
It's not only about photos. The training of AI models is accomplished by using data from other Internet sources like scientific papers, etc.
However, recent news reports show that AI companies are running out of data to train their AI models.
AI companies need high-quality data to train their AI models. lmagine such data as a good textbook that helps us learn, Similarly, high-quality data is needed to train AI models.
Recently, AI companies are saying that high-quality data may run out in the next two years. Imagine a situation where you have finished all your school textbooks and have nothing new to read, What would you do then? Would you stop learning there or look for other sources? So，AI companies are also making efforts to find other sources to train their AI models.
Open AI is translating some videos to train the latest AI model. Meta has discussed buying a(n) famous publishing house to use all the books to train its AI model, Some are even considering using synthetic(合成的)data.
However, these solutions face certain challenges AI companies are facing criticism(批评)for using public data to train their models. For example, Open AI has been criticized for using videos made by humans to train Sora, its video-making AI, People want AI companies to get permission or pay them before using their data.
