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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

Common Cold Study and others like it, while scrambling to understand the human immune response to SARS-CoV-2 using animals and cell cultures, along with the latest molecular techniques. They have catalogued antibody and immune-cell responses with uncommon speed, determined which are likely to be the most effective, and designed vaccines and therapies that, in animal studies and small human studies, provoke at least short-term immune responses. But there is no quick and simple experiment that can firmly determine whether immunity will be effective or lasting. It is just too soon to know.

"The idea that all humanity is equally and collectively responsible for climate change - or any other environmental or social problem - is extremely weak. In a basic and easily calculable way, not everyone is responsible for the same quantity of greenhouse gasses. People in the world's poorest countries produce roughly one hundredth of the emissions of the richest people in the richest countries. Through the chance of our births, and the lifestyle we choose we are not all equally responsible for climate change."

Using two independent single-cell approaches, we identified a shift in the overall immune cell composition in cavefish as the underlying cellular mechanism, indicating strong differences in the immune investment strategy. While surface fish invest evenly into the innate and adaptive immune systems, cavefish shifted immune investment to the adaptive immune system, and here, mainly towards specific T-cell populations that promote homeostasis. Additionally, inflammatory responses and immunopathological phenotypes in visceral adipose tissue are drastically reduced in cavefish. Our data indicate that long-term adaptation to low parasite diversity coincides with a more sensitive immune system in cavefish, which is accompanied by a reduction in the immune cells that play a role in mediating the pro-inflammatory response.

So many of us, including me, have been focused on the failure of the federal response to Covid-19, watching President Trump's catastrophe-by-public-policy roll out day after day since late February. I've written a lot about it in these pages. In a misplaced triumphalism, some people in states that have managed to have a relatively quiet summer with low rates of Covid-19 cases have chastised those in states with renewed outbreaks as being foolish or unheeding of scientific advice, as governors still slow-walk the response to the disease and ordinary people shun masks and flock to social gatherings. We all like to think of ourselves as different, doing the right thing, doing our part.

A survey of ESG influencers shows the elusive side of investor responsibility. What to do? When the Covid-19 crisis exploded in winter 2020, we spelled out four different scenarios for ESG in times of pandemic.

The analysis of questionnaires often involves representing the high-dimensional responses in a low-dimensional space (e.g., PCA, MCA, or t-SNE). However questionnaire data often contains categorical variables and common statistical model assumptions rarely hold. Here we present a non-parametric approach based on Fisher Information which obtains a low-dimensional embedding of a statistical manifold (SM). The SM has deep connections with parametric statistical models and the theory of phase transitions in statistical physics. Firstly we simulate questionnaire responses based on a non-linear SM and validate our method compared to other methods. Secondly we apply our method to two empirical datasets containing largely categorical variables: an anthropological survey of rice farmers in Bali and a cohort study on health inequality in Amsterdam. Compare to previous analysis and known anthropological knowledge we conclude that our method best discriminates between different behaviours, paving the way to dimension reduction as effective as for continuous data.

Red ink isn't a problem as long as the country is spending on the right things.

"That said, there's another factor driving the reaction of Clinton's supporters, and the best way I can find to approach it is to consider one of the more thoughtful responses from that side of the political landscape, an incisive essay posted to Livejournal last week by someone who goes by the nom de Web "Ferrett Steinmetz." The essay's titled The Cold, Cold Math We'll Need to Survive the Next Twenty Years, and it comes so close to understanding what happened last Tuesday that the remaining gap offers an unsparing glimpse straight to the heart of the failure of the Left to make its case to the rest of the American people. At the heart of the essay are two indisputable points. The first is that the core constituencies of the Democratic Party are not large enough by themselves to decide who gets to be president. That's just as true of the Republican party, by the way, and with few exceptions it's true in every democratic society.  Each party large enough to matter has a set of core constituencies who can be counted on to vote for it under most circumstances, and then has to figure out how to appeal to enough people outside its own base to win elections. That's something that both parties in the US tend to forget from time to time, and when they do so, they lose. The second indisputable point is that if Democrats want to win an election in today's America, they have to find ways to reach out to people who don't share the values and interests of the Left. It's the way that Ferrett Steinmetz frames that second point, though, that shows why the Democratic Party failed to accomplish that necessary task this time. "We have to reach out to people who hate us," Steinmetz says, and admits that he has no idea at all how to do that. "

"The study, carried out with leading legal academics and experts, saw the LawGeex AI achieve an average 94% accuracy rate, higher than the lawyers who achieved an average rate of 85%. It took the lawyers an average of 92 minutes to complete the NDA issue spotting, compared to 26 seconds for the LawGeex AI. The longest time taken by a lawyer to complete the test was 156 minutes, and the shortest time was 51 minutes. The study made waves around the world and was covered across global media."

"Stephen Cave and Kanta Dihal revisit the extraordinary history of cultural responses to automata."