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Rare minerals discovered in Japan could be a game changer for their economic security.
A group of researchers in Japan uncovered a cache of rare minerals in the seabed around Minami-Tori-shima island harbours.
The Nippon Foundation and the University of Tokyo conducted a survey which discovered around 610,000 metric tons of cobalt and 740,000 metric tons of nickel.
THE ECONOMIC SINGULARITY IN 2 TO 3 YEARS.
“My guess is that by 2026 or 2027, we will have AI systems that are broadly better than almost all humans at almost all things,” Amodei (Anthropic CEO) said at the event.
Enter the new era of AI coworkers.
Unexpected crises or events, such as the COVID-19 pandemic or natural disasters, can cause disruptions to a city’s economy. For instance, forcing businesses to temporarily close or hindering their daily operations. As businesses often rely on each other, changes in the operation of one company can cause ripple effects, like influencing its suppliers, distributors or other businesses it depends on.
To explore the widespread economic impact of shocks and adverse events, past studies primarily examined the proximity between businesses, assuming that businesses are primarily connected to nearby companies or establishments. However, some findings suggest that people’s movements between businesses (i.e., behavior-based dependencies) also contribute to the resilience of cities following economic disruptions.
These dependencies are essentially relationships between businesses shaped by the behavior and habits of shared customers. For example, if a tech company is forced to close its offices, this might impact not only other nearby restaurants, but also gyms or other establishments located in different parts of a city, which some employees typically visit before or after work.
Fabulous episode on the Economic Singularity with creator of the term, Calum Chace, along with David Wood and David Shapiro.
London Futurists · Episode.
In today’s AI news, a new $500 billion, private sector investment to build artificial intelligence infrastructure in the US, with Oracle, ChatGPT creator OpenAI, and Japanese conglomerate SoftBank among those committing to the project. The joint venture, called Stargate, is expected to begin with a data center project in Texas.
In other advancements, Perplexity has launched an aggressive bid to capture the enterprise AI search market, unveiling Sonar, an API service that outperforms offerings from Google, OpenAI and Anthropic on key benchmarks while also undercutting their prices. Perplexity — now valued at $9 billion — directly challenges larger competitors.
And, Santee Cooper, the big power provider in South Carolina, has tapped financial advisers to look for buyers that can restart construction on a pair of nuclear reactors that were mothballed years ago. The state-owned utility is betting interest will be strong, with tech giants such as Amazon and Microsoft in need of clean energy to fuel AI.
Then, Google is making a fresh investment of more than $1 billion into AI startup Anthropic, the Financial Times reported on Wednesday. This comes after Reuters and other media reported earlier in January that Anthropic was nearing a $2 billion fundraise in a round, led by Lightspeed Venture Partners, valuing the firm at about $60 billion.
In videos, Indeed CEO Chris Hyams, and Stanford Digital Economy Lab Director Erik Brynjolfsson, join Bloomberg’s Work for a discussion on the key trends impacting employees and employers in 2025 and beyond.
Meanwhile, Sarah Friar, Chief Financial Officer of OpenAI warned that there is strong competition in the development of AI coming from China, recognizing the economic and security benefits of the emerging technology.
S Shirin Ghaffary at Bloomberg House in Davos. ‘ + s Erik Schatzker at Bloomberg House in Davos. + ll look at how Frames offers cinematic image outputs, best practices for prompting, and showcases user-generated examples. + Thats all for today, but AI is moving fast, subscribe today to stay informed. Please don’t forget to vote for me in the Entrepreneur of Impact Competition today! Thank you for supporting me and my partners, it’s how I keep NNN free.
The Stargate Project is a new company which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. We will begin deploying $100 billion immediately. This infrastructure will secure American leadership in AI, create hundreds of thousands of American jobs, and generate massive economic benefit for the entire world. This project will not only support the re-industrialization of the United States but also provide a strategic capability to protect the national security of America and its allies.
The initial equity funders in Stargate are SoftBank, OpenAI, Oracle, and MGX. SoftBank and OpenAI are the lead partners for Stargate, with SoftBank having financial responsibility and OpenAI having operational responsibility. Masayoshi Son will be the chairman.
Arm, Microsoft, NVIDIA, Oracle, and OpenAI are the key initial technology partners. The buildout is currently underway, starting in Texas, and we are evaluating potential sites across the country for more campuses as we finalize definitive agreements.
Trump—flanked by larry ellison, sam altman, & masayoshi son—announces project stargate.
Trump announces Project Stargate, a $500 billion initiative backed by major tech leaders, aimed at revolutionizing U.S. AI infrastructure, creating jobs, and enhancing healthcare through advanced technologies. AI Infrastructure and Economic Impact.
🏗️Project Stargate, a $500+ billion AI infrastructure initiative, aims to construct colossal data centers and physical campuses across the US, potentially creating over 100,000 American jobs.
🌐The project will build physical and virtual infrastructure to power next-generation AI advancements, with Oracle, SoftBank, and Microsoft as key partners, establishing a new US-centered industry. ## Healthcare Applications.
S AI will enhance healthcare by providing doctors with condition-specific treatment plans based on data from top hospitals like Memorial Sloan Kettering and Stanford. ” + s cancer research focuses on early detection via blood tests, personalized vaccines designed using AI in 48 hours, and robotically-produced mRNA vaccines. ” +## Technological Advancements.
S AI-driven approach promises to accelerate cancer treatment development, potentially leading to unprecedented cure rates. ” + 📊The initiative will leverage AI to improve electronic health records, benefiting patients in underserved areas like Indian River Reservation.
The age of agentic AI has arrived. Spanning the virtual and physical realms, we stand at a pivotal moment where human ingenuity will be amplified by intelligent machines. This convergence of agentic AI, intelligent software agents capable of independent learning. actions and tasks, with physical AI, encompassing robots and machines interacting with the physical world, is poised to fundamentally reshape the global economic landscape.
We are entering a new era where individuals and businesses will interact with and manage a network of AI agents.
By the end of 2024, artificial intelligence (AI) and machine learning (ML) had established themselves as the main transformative forces behind recent technological advancements in healthcare. A report by Silicon Valley Bank states that in 2024, the amount of VC investment in health AI in the U.S. was expected to reach $11.1 billion, the highest number since 2021.
In my experience, the main driver behind the AI investment and adoption craze is the measurable value technology offers healthcare providers. A 2023 National Bureau of Economic Research study indicates that integrating AI can save the U.S. healthcare system up to $360 billion annually. A 2023 survey by the AMA shows that physicians see AI as a way to reduce the administrative burden of documentation (54%) and improve workflow efficiency (69%).
But do these positive changes reflect on the quality of care, and do patients benefit from AI and ML-powered solutions? In this article, I share my take on the transformative potential of AI and ML in the modern care delivery process.
Artificial neural networks (ANNs) have brought about many stunning tools in the past decade, including the Nobel-Prize-winning AlphaFold model for protein-structure prediction [1]. However, this success comes with an ever-increasing economic and environmental cost: Processing the vast amounts of data for training such models on machine-learning tasks requires staggering amounts of energy [2]. As their name suggests, ANNs are computational algorithms that take inspiration from their biological counterparts. Despite some similarity between real and artificial neural networks, biological ones operate with an energy budget many orders of magnitude lower than ANNs. Their secret? Information is relayed among neurons via short electrical pulses, so-called spikes. The fact that information processing occurs through sparse patterns of electrical pulses leads to remarkable energy efficiency.
