Technology may one day grant us a Utopia in which virtually all tasks are performed by robots and artificial intelligence. In such a post-scarcity civilization, people may have difficulty finding a purpose to existence. Today we will explore how this may come about, what the consequences of this existential threat might be, and what purposes people may find for themselves in such a future.
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/ purpose-narration-only Credits: Post-Scarcity Civilizations: Purpose ep 140 Season 4, Episode 26 Writers: Isaac Arthur Editors: A.T. Long Darius Said Dillon Olander Jerry Guern Justin Dixon Mark Warburton Matthew Acker Matthew Campbell Producer: Isaac Arthur Cover Artist: Jakub Grygier https://www.artstation.com/jakub_grygier Graphics Team Jeremy Jozwik Justin Dixon Ken York Kristijan Tavcar Narrator Isaac Arthur Music Manager: Luca De Rosa — [email protected] Music: Dracovallis, “Cynthia” https://dracovallis.bandcamp.com/ Stellardrone, “Breathe In The Light” https://stellardrone.bandcamp.com Kai Engel, “Endless Story About Sun and Moon” https://www.kai-engel.com/ Chris Zabriskie, “A New Day in a New Sector” http://chriszabriskie.com Kai Engel, “Morbid_Imagination” https://www.kai-engel.com/ Aerium, “The Islands moved while I was asleep”
/ @officialaerium Lombus, “Cosmic Soup” https://lombus.bandcamp.com Brandon Liew, “Into the Storm”
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Credits: post-scarcity civilizations: purpose. ep 140 season 4, episode 26
Zuchongzhi-3, a superconducting quantum computing prototype with 105 qubits and 182 couplers, has made significant advancements in random quantum circuit sampling. This prototype was successfully developed by a research team from the University of Science and Technology of China (USTC).
This prototype operates at a speed that is 1015 times faster than the fastest supercomputer currently available and one million times faster than the latest results published by Google. This achievement marks a milestone in enhancing the performance of quantum computation, following the success of Zuchongzhi-2. The research findings have been published as the cover article in Physical Review Letters.
Quantum supremacy is the demonstration of a quantum computer capable of performing tasks that are infeasible for classical computers. In 2019, Google’s 53-qubit Sycamore processor completed a random circuit sampling task in 200 seconds, a task that would have taken approximately 10,000 years to simulate on the world’s fastest supercomputer at the time.
“The pattern we found is so reproducible that we were able to make an accurate prediction of when each interglacial period of the past million years or so would occur and how long each would last,” said Dr. Stephen Barker.
Earth has experienced several climate cycles throughout its long history, including several ice ages that caused the planet to freeze over. The last ice age occurred approximately 11,700 years ago, but when could the next one occur? This is what a recent study published in Science hopes to address as an international team of researchers investigated specific characteristics that could help predict Earth’s next ice age. This study has the potential to help researchers, climate scientists, and the public better understand Earth’s climate history and how climate change could alter this history.
For the study, the researchers analyzed Earth’s climate history over the last one million years and compared this data to changes in Earth’s axial tilt, the axial tilt’s wobble (also called precession), and changes in Earth’s orbit around the Sun. The goal of the study was to connect these planetary parameters to past ice ages, also called glacial periods, while also attempting to predict future ice ages without human-caused climate change.
In the end, the researchers not only discovered when every ice age occurred over the past 900,000 years, but they predict the Earth will have approximately 10,000 years until the next ice age, noting we are currently in an interglacial period known as the Holocene.
Renewable energy in Japan will receive a seismic shift via perovskite solar cells, the latest development that would change the way solar energy is viewed. Lightweight, flexible, and adaptable, these solar cells will provide a more viable means to producing energy within a city, responding to shortages of land and sustainable issues. Let’s see how Japan is benefiting from the PSC technology to bring about a green future.
Japan is currently utilizing its competitive advantages to lead the rest of the world into the new renewable energy age. Under its revised energy plan, the Ministry of Industry now prioritizes PSCs on Section 0 of its plan wherein Japan aims to develop PSC sections generating 20 gigawatts of electricity equivalent to 20 nuclear reactors by fiscal 2040.
The strategy was designed to be closely aligned with the country’s commitment to net-zero emissions by 2050. At the center of this strategy is Japan’s position as the second-largest iodine producer in the world, a necessary ingredient in the manufacturing of perovskite solar cells.
Jakarta holds the distinction of being the largest capital city among ASEAN countries and ranks as the second-largest metropolitan area in the world, following Tokyo. Despite numerous studies examining the diverse urban land use and land cover patterns within the city, the recent state of urban green spaces has not been adequately assessed and mapped precisely. Most previous studies have primarily focused on urban built-up areas and manmade structures. In this research, the first-ever detailed map of Jakarta’s urban green spaces as of 2023 was generated, with a resolution of three meters. This study employed a combination of supervised classification and evaluated two machine learning algorithms to achieve the highest accuracy possible.
Retrieval of Total Suspended Matter Concentration Based on the Iterative Analysis of Multiple Equations: A Case Study of a Lake Taihu Image from the First Sustainable Development Goals Science Satellite’s Multispectral Imager for Inshore
Posted in information science, science, sustainability | Leave a Comment on Retrieval of Total Suspended Matter Concentration Based on the Iterative Analysis of Multiple Equations: A Case Study of a Lake Taihu Image from the First Sustainable Development Goals Science Satellite’s Multispectral Imager for Inshore
Inland waters consist of multiple concentrations of constituents, and solving the interference problem of chlorophyll-a and colored dissolved organic matter (CDOM) can help to accurately invert total suspended matter concentration (Ctsm). In this study, according to the characteristics of the Multispectral Imager for Inshore (MII) equipped with the first Sustainable Development Goals Science Satellite (SDGSAT-1), an iterative inversion model was established based on the iterative analysis of multiple linear regression to estimate Ctsm. The Hydrolight radiative transfer model was used to simulate the radiative transfer process of Lake Taihu, and it analyzed the effect of three component concentrations on remote sensing reflectance.
Abstract: Hallucination is a persistent challenge in large language models (LLMs), where even with rigorous quality control, models often generate distorted facts. This paradox, in which error generation continues despite high-quality training data, calls for a deeper understanding of the underlying LLM mechanisms. To address it, we propose a novel concept: knowledge overshadowing, where model’s dominant knowledge can obscure less prominent knowledge during text generation, causing the model to fabricate inaccurate details. Building on this idea, we introduce a novel framework to quantify factual hallucinations by modeling knowledge overshadowing. Central to our approach is the log-linear law, which predicts that the rate of factual hallucination increases linearly with the logarithmic scale of Knowledge Popularity, Knowledge Length, and Model Size. The law provides a means to preemptively quantify hallucinations, offering foresight into their occurrence even before model training or inference. Built on overshadowing effect, we propose a new decoding strategy CoDa, to mitigate hallucinations, which notably enhance model factuality on Overshadow (27.9%), MemoTrap (13.1%) and NQ-Swap (18.3%). Our findings not only deepen understandings of the underlying mechanisms behind hallucinations but also provide actionable insights for developing more predictable and controllable language models.
From: Yuji Zhang [view email].
Constantly worrying about events beyond your control significantly harms your physical health.
S stress-response system activated, leading to chronic stress. Over time, such stress can weaken the immune system, making us more susceptible to infections and illnesses. + Additionally, chronic stress is linked to cardiovascular issues, including hypertension and an increased risk of heart disease.
S prolonged exposure to stress hormones like cortisol can also lead to digestive problems, muscle tension, and headaches. + Moreover, the mental strain from focusing on uncontrollable factors can lead to unhealthy coping mechanisms, such as overeating or substance abuse, further impacting physical well-being.
S out there. It gets better. +