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Whales have an important role to play in nutrient cycling. Their poo, for example, makes organic carbon more accessible to smaller organisms. Even a dead whale carcass is important in carbon cycling, particularly the export of carbon to the deep sea. The falling carcass (whale fall) brings carbon acquired at the surface (usually in the form of plankton) to the sea floor as the whale's body (a large carbon reservoir) sinks. The larger the whale, the more carbon-filled tissues it has, meaning that larger whales export more carbon.

As it falls to the sea floor, a whale carcass can provide food for hundreds of organisms as they flock to a food source that can keep them going in an environment usually devoid of such bountiful food resources.

what’s remarkable about this future isn’t the sensors, nor is it that all our sensors and objects and devices are linked together. It’s the fact that once we get enough of these objects onto our networks, they’re no longer one-off novelties or data sources but instead become a coherent system, a vast ensemble that can be choreographed, a body that can dance. Really, it’s the opposite of an “Internet,” a term that even today—in the era of the cloud and the app and the walled garden—connotes a peer-to-peer system in which each node is equally empowered. By contrast, these connected objects will act more like a swarm of drones, a distributed legion of bots, far-flung and sometimes even hidden from view but nevertheless coordinated as if they were a single giant machine.

For the Programmable World to reach its full potential, we need to pass through three stages. The first is simply the act of getting more devices onto the network—more sensors, more processors in everyday objects, more wireless hookups to extract data from the processors that already exist. The second is to make those devices rely on one another, coordinating their actions to carry out simple tasks without any human intervention. The third and final stage, once connected things become ubiquitous, is to understand them as a system to be programmed, a bona fide platform that can run software in much the same manner that a computer or smartphone can. Once we get there, that system will transform the world of everyday objects into a design­able environment, a playground for coders and engineers. It will change the whole way we think about the division between the virtual and the physical.

Consider four evocative examples of phenomena that have motivated embodied cognitive science. We typically gesture when we speak to one another, and gesturing facilitates not just communication but language processing itself (McNeill 1992). Vision is often action-guiding, and bodily movement and the feedback it generates are more tightly integrated into at least some visual processing than has been anticipated by traditional models of vision (O'Regan and Noë 2001). There are neurons, mirror neurons, that fire not only when we undertake an action, but do so when we observe others undertaking the same actions (Rizolatti and Craighero 2004). We are often able to perform cognitive tasks, such as remembering, more effectively by using our bodies and even parts of our surrounding environments to off-load storage and simplify the nature of the cognitive processing (Donald 1991).