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"With each interaction, Alexa is training to hear better, to interpret more precisely, to trigger actions that map to the user's commands more accurately, and to build a more complete model of their preferences, habits and desires. What is required to make this possible? Put simply: each small moment of convenience - be it answering a question, turning on a light, or playing a song - requires a vast planetary network, fueled by the extraction of non-renewable materials, labor, and data. The scale of resources required is many magnitudes greater than the energy and labor it would take a human to operate a household appliance or flick a switch. A full accounting for these costs is almost impossible, but it is increasingly important that we grasp the scale and scope if we are to understand and govern the technical infrastructures that thread through our lives. III The Salar, the world's largest flat surface, is located in southwest Bolivia at an altitude of 3,656 meters above sea level. It is a high plateau, covered by a few meters of salt crust which are exceptionally rich in lithium, containing 50% to 70% of the world's lithium reserves. 4 The Salar, alongside the neighboring Atacama regions in Chile and Argentina, are major sites for lithium extraction. This soft, silvery metal is currently used to power mobile connected devices, as a crucial material used for the production of lithium-Ion batteries. It is known as 'grey gold.' Smartphone batteries, for example, usually have less than eight grams of this material. 5 Each Tesla car needs approximately seven kilograms of lithium for its battery pack. 6 All these batteries have a limited lifespan, and once consumed they are thrown away as waste. Amazon reminds users that they cannot open up and repair their Echo, because this will void the warranty. The Amazon Echo is wall-powered, and also has a mobile battery base. This also has a limited lifespan and then must be thrown away as waste. According to the Ay

People feel they understand complex phenomena with far greater precision, coherence, and depth than they really do; they are subject to an illusion-an illusion of explanatory depth. The illusion is far stronger for explanatory knowledge than many other kinds of knowledge, such as that for facts, procedures or narratives. The illusion for explanatory knowledge is most robust where the environment supports real-time explanations with visible mechanisms. We demonstrate the illusion of depth with explanatory knowledge in Studies 1-6. Then we show differences in overconfidence about knowledge across different knowledge domains in Studies 7-10. Finally, we explore the mechanisms behind the initial confidence and behind overconfidence in Studies 11 and 12. Implications for the roles of intuitive theories in models of concepts and cognition are discussed.

This virus wasn't something we knew nothing about. There was so much we knew, from day one, including because of SARS, the previous almost-pandemic that was also a similar coronavirus. We could have used that vital pre-information better if we had matched the requisite epistemic humility that a pandemic requires-an acknowledgement that we aren't certain of anything-with an insistence that this situation wasn't a blank slate. We could have utilized our prior knowledge to plan ahead, while not letting go of the uncertainty-taking thoughtful steps but without overstating our confidence.

Earlier this year, a slew of major tech companies announced they would make remote work a permanent part of their operations after COVID-19 forced them to give it a serious try. In response, commentators and pundits warned that scattering tech workers across the country could undermine one of the pillars of the US technology sector. The argument is that innovation is accelerated when knowledge workers are located close to each other, since proximity facilitates the circulation of ideas and knowledge.

"Since we first started carving notches in sticks, we have used things in the world to help us to know that world. But never before have we relied on things that did not mirror human patterns of reasoning - we knew what each notch represented - and that we could not later check to see how our non-sentient partners in knowing came up with those answers. If knowing has always entailed being able to explain and justify our true beliefs - Plato's notion, which has persisted for over two thousand years - what are we to make of a new type of knowledge, in which that task of justification is not just difficult or daunting but impossible?"