It generally takes 18 to 36 months to build a hyperscale AI site - such as, presumably, one of the world's most powerful supercomputers. It generally takes 18 to 36 months to build a hyperscale AI site - such as, presumably, one of the world's most powerful supercomputers. From press release to scrap metal site: the Essex'supercomputer' that's still a scaffolding yard Nscale's AI project still in use as depot ahead of pledged completion date - with planning permission filed after Guardian's inquiries Revealed: UK's multibillion AI drive is built on'phantom investments' T he press releases announcing a gleaming supercomputer on the outskirts of north London depict a glass and concrete building, rising from a tree-lined street. Accompanied by images of glowing blue robot faces, it looks like the centre of a technological revolution. By the end of this year, that artist's impression is supposed to be a reality.

Nvidia's chief executive, Jensen Huang, has been on an energetic world tour as the company's share price has soared. Nvidia's chief executive, Jensen Huang, has been on an energetic world tour as the company's share price has soared. Nvidia insists it isn't Enron, but its AI deals are testing investor faith The chipmaker's sprawling partnerships are driving extraordinary growth but also bank its future on the AI boom paying off quickly N vidia is, in crucial ways, nothing like Enron - the Houston energy giant that imploded through multibillion-dollar accounting fraud in 2001. Nor is it similar to companies such as Lucent or Worldcom that folded during the dotcom bubble. But the fact that it needs to reiterate this to its investors is less than ideal. Now worth more than $4tn (£3tn), Nvidia makes the specialised technology that powers the world's AI surge: silicon chips and software packages that train and host systems such as ChatGPT.

A data center, which can use as much electricity as Philadelphia, is the new American factory, creating the future and propping up the economy. "I do guess that a lot of the world gets covered in data centers," Sam Altman, the C.E.O. of OpenAI, has said. Drive in almost any direction from almost any American city, and soon enough you'll arrive at a data center--a giant white box rising from graded earth, flanked by generators and fenced like a prison yard. Data centers for artificial intelligence are the new American factory. Packed with computing equipment, they absorb information and emit A.I. Since the launch of ChatGPT, in 2022, they have begun to multiply at an astonishing rate. "I do guess that a lot of the world gets covered in data centers over time," Sam Altman, the C.E.O. of OpenAI, recently said. The leading independent operator of A.I. data centers in the United States is CoreWeave, which was founded eight years ago, as a casual experiment. In 2017, traders at a middling New York hedge fund decided to begin mining cryptocurrency, which they used as the entry fee for their fantasy-football league. To mine the crypto, they bought a graphics-processing unit, a powerful microchip made by the company Nvidia. The G.P.U. was marketed to video gamers, but Nvidia offered software that turned it into a low-budget supercomputer. "It was so successful, from a return-of-capital perspective, that we started scaling it," Brian Venturo, one of CoreWeave's co-founders, told me. "If you make your money back in, like, five days, you want to do that a lot." Within a year, the traders had quit the hedge-fund business and bought several thousand G.P.U.s, which they ran from Venturo's grandfather's garage, in New Jersey.

I talked to the scholars who literally wrote the book on tech bubbles--and applied their test. AI may not simply be "a bubble," or even an enormous bubble. It may be the ultimate bubble. What you might cook up in a lab if your aim was to engineer the Platonic ideal of a tech bubble. Since ChatGPT's viral success in late 2022, which drove every company within spitting distance of Silicon Valley (and plenty beyond) to pivot to AI, the sense that a bubble is inflating has loomed large. There were headlines about it as early as May 2023 .

Fox News anchor Bret Baier has the latest on the Murdoch Children's Research Institute's partnership with the Gladstone Institutes for the'Decoding Broken Hearts' initiative on'Special Report.' This week's Senate hearing on U.S. competitiveness in artificial intelligence made it clear that we are not just in an AI race with China and the rest of the world. We are in a race to build the foundation of the 21st century global economy while strengthening our national security. That foundation is made of silicon, steel and megawatts. America's ability to lead in AI hinges on a simple but urgent question – can we build the computing infrastructure fast enough to unleash AI's full potential and drive a competitive advantage? The emerging AI cloud computing infrastructure is not like the general-purpose cloud that still powers most of the digital world.

Let the OSS Enterprise newsletter guide your open source journey! Large language models capable of writing poems, summaries, and computer code are driving the demand for "natural language processing (NLP) as a service." As these models become more capable -- and accessible, relatively speaking -- appetite in the enterprise for them is growing. According to a 2021 survey from John Snow Labs and Gradient Flow, 60% of tech leaders indicated that their NLP budgets grew by at least 10% compared to 2020, while a third -- 33% -- said that their spending climbed by more than 30%. Well-resourced providers like OpenAI, Cohere, and AI21 Labs are reaping the benefits.