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In this video, we explore the biggest construction sites of the future — the ones that will one day provide us with real megastructures of all kinds and purposes.
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The economic downturn is already a devastating blow to job seekers everywhere. Now scammers are taking advantage of the situation by ramping up their methods of swindling people.
Job scamming is a threat to job seekers all over the world. For example, the Better Business Bureau (BBB) reported an increase in job scam complaints in the United States and Canada in the past several years. Singapore job seekers lost $660 million SGD ($495 million USD) in 2022 alone. And in the UK, 10,000 people were approached on LinkedIn and Facebook by “foreign spies and malicious actors” to steal information.
Phishing attacks and malware are the primary methods of scamming job seekers, according to a February Trellix report. Scammers create fake websites, often employing typosquatting. A fake site uses a real name like Indeed that’s slightly misspelled (such as “Indeeed”) or extends the URL in hopes the job seeker will not notice the base domain name. These sites appear legitimate but are used to steal passwords and financial information.
Standing 3,280 feet (1,000 meters) tall, the Jeddah Tower will dwarf the Burj Khalifa by over 560 feet (172 m).
Jeddah Economic Company (JEC), the firm behind the ambitious Jeddah Tower Project in Saudi Arabia, has announced the resumption of work on the world’s tallest building, media reports have confirmed. The project that began in 2010 came to an abrupt halt in 2017.
Countries in the Middle East have been pouring money into ambitious projects to attract tourism and businesses and reduce their dependence on oil exports for income. The city of Dubai is replete with examples of structures meant to attract people from all over the world, whether one looks at the Palm Islands or the Moon-themed resort.
Researchers at São Paulo State University (UNESP) in Brazil have developed a strategy for removing glyphosate, one of the world’s most frequently used herbicides, from water. Inspired by the concept of the circular economy, the technique is based on sugarcane bagasse, a waste material produced by sugar and ethanol plants.
“Isolated and chemically functionalized sugarcane bagasse fibers can be used as adsorbent material. Glyphosate adheres to its surface and is removed as a water contaminant by filtration, decantation or centrifugation,” Maria Vitória Guimarães Leal, told Agência FAPESP.
She is the first author of an article on the research published in the journal Pure and Applied Chemistry. Adsorption is a process whereby molecules dispersed in a liquid or gaseous medium adhere to a solid insoluble surface, which is typically porous.
A study out of Sweden shows that the highest earning men are slightly less intelligent than those just below them on the economic ladder.
According to the Organisation for Economic Co-operation and Development estimates, transportation accounts for 27 percent of global carbon emissions. Powered by fossil fuels, road-based transportation contributes 80 percent of these emissions and therefore countries are aggressively pushing for the electrification of vehicles. While major advances have been made for passenger cars and air transport, water transport is still lagging. Yara’s new cargo ship might just lead the way.
One of the most interesting and important questions in cosmology is, “How much matter exists in the universe?” An international team, including scientists at Chiba University, has now succeeded in measuring the total amount of matter for the second time. Reporting in The Astrophysical Journal, the team determined that matter makes up 31% of the total amount of matter and energy in the universe, with the remainder consisting of dark energy.
“Cosmologists believe that only about 20% of the total matter is made of regular or ‘baryonic’ matter, which includes stars, galaxies, atoms, and life,” explains first author Dr. Mohamed Abdullah, a researcher at the National Research Institute of Astronomy and Geophysics-Egypt, Chiba University, Japan. “About 80% is made of dark matter, whose mysterious nature is not yet known but may consist of some as-yet-undiscovered subatomic particles.”
“The team used a well-proven technique to determine the total amount of matter in the universe, which is to compare the observed number and mass of galaxy clusters per unit volume with predictions from numerical simulations,” says co-author Gillian Wilson, Abdullah’s former graduate advisor and Professor of Physics and Vice Chancellor for research, innovation, and economic development at UC Merced.
But OpenAI isn’t Altman’s only project, and it’s not even his only project with ambitions to change the world. He is also a co-founder of a company called Tools for Humanity, which has the lofty goal of protecting people from the economic devastation that may arise from AI taking human jobs. The company’s first major project is Worldcoin, which uses an evil-looking metallic orb—called the Orb—to take eyeball scans from people all over the world.
Those scans are converted into unique codes that confirm you are a real, individual human, not a bot. In the future, this will theoretically grant you access to a universal basic income parceled out through Worldcoin’s cryptocurrency, WLD. (You will want this because you will not be able to find work.) More than 2 million people in 35 countries have been scanned already, according to Tools for Humanity’s World ID app. Although it’s not yet available in the United States, the WLD token has been distributed elsewhere, and the company has also recruited users through cash incentives in countries such as Indonesia and Kenya.
Recent data shows that both Korea and China are ahead of the US in terms of ratios of robots to manufacturing workers.
Robot use is an indication of economic prosperity and growth throughout the world. The ratio of industrial robots to manufacturing workers is one of the most frequently used approaches to benchmarking robot adoption rates.
The International Federation of Robotics (IFR) publishes statistics on robot utilization worldwide in manufacturing. Its most recent data is from 2021 and shows Korea leading the way in terms of robot use in manufacturing.
GPT-4, PaLM, Claude, Bard, LaMDA, Chinchilla, Sparrow – the list of large-language models on the market continues to grow. But behind their remarkable capabilities, users are discovering substantial costs. While LLMs offer tremendous potential, understanding their economic implications is crucial for businesses and individuals considering their adoption.
While LLMs offer tremendous potential, understanding their economic implications is crucial for businesses and individuals considering their adoption.
First, building and training LLMs is expensive. It requires thousands of Graphics Processing Units, or GPUs, offering the parallel processing power needed to handle the massive datasets these models learn from. The cost of the GPUs, alone, can amount to millions of dollars. According to a technical overview of OpenAI’s GPT-3 language model, training required at least $5 million worth of GPUs.
