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288 pages, Hardcover
Published April 16, 2024
‘Humans are a litter-making species. While much has been made of our tool-making capacities, it is our ability to create cumulative garbage heaps at a planetary scale that is perhaps our most defining legacy.’
‘Over the past century, humans—mostly those in the wealthiest countries—have produced approximately 30 trillion tons of stuff: buildings and bridges, shopping malls and ships, cars and computers, tools and toys.1 This translates into 50 kilograms (over 100 pounds) for every square metre of the Earth’s surface. The scientific term for this massive stockpile is the “technosphere.’
‘Nanoparticles, for example, can be used to transform living plants into light-emitting objects. Salad lovers take note: spinach, arugula, watercress, and kale are apparently naturally high light emitters, which researchers have boosted with nanoparticles impregnated with luciferase, the enzyme responsible for bioluminescence in fireflies.10 Instead of street lamps made of steel, glass, and plastic, our streets may one day be lit with carbon nanotube-enhanced plant lamps. Plant-based biofuel cells are also in the works, as are plant-based microbial fuel cells. If these succeed, their designers hope that they could provide an environmentally friendly solution to some of our energy storage challenges.’
‘Scientists refer to these impacts with terms like “auditory masking,” but in layperson’s terms the impacts are simpler and starker: orcas are lonelier, more stressed, more disoriented, and more malnourished in a noisy ocean. Oceanographer David Barclay offers a simple analogy: if orcas are trying to look for fish while swimming toward a ship, it would be like looking into the bright sun while trying to spot a bird. Humans no longer kill orcas with bullets and harpoons. Instead, we are serenading them to death.’
‘In a small lab in Raleigh, North Carolina, a graduate student is working late into the night. A tiny cocoon the size of a pencil eraser sits on her workstation: a pupal moth, yet to be born. Bent over the cocoon, she handles her instruments carefully. Her job is to implant tiny, flexible microprobes into a precise spot on the pupa inside the cocoon, without damaging it. The technique she is using—Early Metamorphosis Insertion Technology—takes advantage of the uniquely receptive nature of the fast-growing immature moth. As the pupa develops, its ventral nerve cord will fuse to the implanted wires, ensuring a seamless bond with its living tissues. When it emerges, the insect will not perceive the electrodes as foreign objects. The student will stimulate the nerve with small electrical pulses, either through a wire tether or remotely via a radio signal. When she stimulates the nerve, the moth’s muscles will contract, which will change its direction as it flies. The MothBot will be controllable at a distance, a living drone.’
‘MothBot has never perceived the electrodes as foreign objects. She came into this world as a living drone, engineered to be controllable at a distance. Exquisitely sensitive to smell, she can detect chemicals commonly found in explosives. The code directs her to a nearby minefield, sensing hot spots and safe zones, a silent sentinel.
When she is longer useful, she will be discarded.’
‘The autonomy of nonhuman designers is the leitmotif of this speculative living architecture agenda. The plants, mediated by the robots, shape the overall design of the structure as it grows, creating structures that are more livable for the plants themselves. The engineers’ innovations—like vascular morphogenesis controllers—enable responsive, real-time collaboration between robots and plants, which can autonomously shape their own growth, in response to (but not controlled by) human desires.’
‘As the building grows, structural features develop (walls, roofs, benches) and the plants eventually begin supporting the robots’ weight. The scaffolds are braided and woven in complex forms that look like ethereal coral braided with 3D-printed kelp; flexible, biodegradable, and repositionable by tiny robots stationed at key nodes, the scaffolding is calibrated to growth patterns of different plants, and gradually becomes absorbed into the “living weave” of the building. Human input is limited; rather, machine learning algorithms, combined with input from a comprehensive array of sensors that measure plant health and growth, enable the robots to learn the plants’ preferences and reshape the scaffolding accordingly.’
‘Offshore, the robot continues drilling in the darkness. As noise cuts like a knife through the water, the deep-sea life is slowly covered in fine dust. Never sleeping, never ceasing, the robot’s sensors catalogue the sacrifice zone.’