教电脑说鲸鱼话

在深海里，抹香鲸互相发出咔哒声，节奏听起来几乎像机器，研究者把这种快速的连发叫作尾声码。几十年来，这些声音一直被当成噪音。现在，一个大型国际研究项目在尝试一件野心大得多的事：教人工智能在里面找出结构，甚至找出意义。

Deep in the ocean, sperm whales click at each other in patterns that sound almost mechanical, rapid bursts researchers call codas. For decades, these clicks were treated as noise. Now, a large international research project is trying something far more ambitious: teaching artificial intelligence to find structure, maybe even meaning, inside them.

团队用水下麦克风和机器人标签录下了几千小时的鲸鱼咔哒声，再把数据喂给机器学习模型，那些模型原本是用来在没有词典的情况下互译两种毫不相关的人类语言的。初步结果显示，抹香鲸的尾声码可能像人类的词由音组成那样，由更小的构件拼起来，而且有些咔哒声会随语境发生微妙变化，几乎像语气。

The team records thousands of hours of whale clicks using underwater microphones and robotic tags, then feeds the data into machine learning models originally built to translate unrelated human languages without a dictionary. Early results suggest sperm whale codas may combine small building blocks the way human words combine sounds, and some clicks appear to shift subtly depending on context, almost like tone of voice.

还没有人敢说自己已经有了一本完整的鲸语词典。但研究者第一次有了一个真实、可以检验的假设：那些咔哒声里确实藏着某种结构，只等对的方法把它打开。

No one is claiming a full whale dictionary yet. But for the first time, researchers have a real, testable hypothesis: that somewhere inside those clicks sits a genuine structure, waiting for the right method to unlock it.