Whale songs and the AI lens

We spend a lot of time talking to machines. It turns out, we might have been better off listening to whales.

Researchers are now applying AI to decode the communication patterns of beluga whales. These animals live in complex social groups, and their 'chitchat'—a mix of whistles, clicks, and chirps—shows signs of regional culture and specific learned behaviors.

Using AI to parse this isn't just about conservation. It's a fundamental test of how we define intelligence. For years, we thought language was a human-only domain. Now, we are finding that intelligence shows up in parts, not as a single monolith. The AI here acts as a translator for patterns we couldn't see before. It amplifies the biologist’s ability to map a soundscape, but the human remains the one interpreting the culture.

This is the right way to use these systems. We aren't trying to replace the whale's experience with a generated simulation. We are using a tool to gain perspective on a world that was previously inaccessible.

When you look at your own work, the goal should be the same. The best systems don't handle the whole. They handle the specific, tedious part that keeps you from understanding what’s actually happening in your field.

We often get distracted by the machine itself. We forget that the tool is just a way to see further. Whether it's analyzing underwater audio or optimizing a business process, the value is in the insight, not the automation.

Source: How decoding beluga whales’ chitchat may save them – and teach us more about ourselves | https://www.theguardian.com/environment/2026/aug/27/how-decoding-beluga-whales-chitchat-may-save-them-and-teach-us-more-about-ourselves