Lifeboat Foundation

“Microsoft has demonstrated its ability to build pioneering AI infrastructure used to train and deploy the world’s leading AI models,” a Microsoft spokesperson told the site. “We are always planning for the next generation of infrastructure innovations needed to continue pushing the frontier of AI capability.”

Needless to say, that’s a mammoth investment. As such, it shines an even brighter spotlight on a looming question for the still-nascent AI industry: how’s the whole thing going to pay for itself?

So far, most companies in the space — Microsoft and OpenAI included — have offered significant AI services for free, sometimes with a more advanced upsell version like OpenAI’s ChatGPT Plus.

Gauging whether or not we dwell inside someone else’s computer may come down to advanced AI research—or measurements at the frontiers of cosmology.

By Anil Ananthaswamy

Unlike me, Kurzweil has been embracing AI for decades. In his 2005 book, The Singularity Is Near: When Humans Transcend Biology, Kurzweil made the bold prediction that AI would expand human intelligence exponentially, changing life as we know it. He wasn’t wrong. Now in his 70s, Kurzweil is upping the ante in his newest book, The Singularity Is Nearer: When We Merge with AI, revisiting his prediction of the melding of human and machine, with 20 additional years of data showing the exponential rate of technological advancement. It’s a fascinating look at the future and the hope for a better world.

Kurzweil has long been recognized as a great thinker. The son of a musician father and visual artist mother, he grew up in New York City and at a young age became enamored with computers, writing his first computer program at the age of 15.

While at MIT, earning a degree in computer science and literature, Kurzweil started a company that created a computer program to match high school students with colleges. In the ensuing years, he went on to found (and sell) multiple technology-fueled companies and inventions, including the first reading machine for the blind and the first music synthesizer capable of re-creating the grand piano and other orchestral instruments (inspired by meeting Stevie Wonder). He has authored 11 books.

Human intelligence must evolve before AI colonizes us.

HUMANOID robots could be a large benefit to small businesses, according to one expert.

The U.S. Sun spoke with Professor Luis Sentis who thinks the development of AI humanoids will have many benefits.

“I prefer to see the view of augmentation of people,” Sentis explained when asked about humanoid concerns.

A new video from Figure 1 robot shows how close we are to creating AI-powered robots that are truly believable.

Microsoft and OpenAI might be concocting a $100 billion supercomputer to accelerate their artificial intelligence models.

Demis Hassabis, CEO and one of three founders of Google’s artificial intelligence (AI) subsidiary DeepMind, has been awarded a knighthood in the U.K. for “services to artificial intelligence.”

Ian Hogarth, chair of the U.K. government’s recently launched AI Safety Institute and previously founder of music startup Songkick, was awarded Commander of the Order of the British Empire (CBE) for services to AI; as was Matt Clifford, AI adviser to the U.K. government and co-founder of super–early-stage investor Entrepreneur First.

Artificial intelligence (AI) has introduced a dynamic shift in various sectors, most notably by deploying autonomous agents capable of independent operation and decision-making. These agents, powered by large language models (LLMs), have significantly broadened the scope of tasks that can be automated, ranging from simple data processing to complex problem-solving scenarios. However, as the capabilities of these agents expand, so do the challenges associated with their deployment and integration.

Within this evolving landscape, a major hurdle has been the efficient management of LLM-based agents. The primary issues revolve around allocating computational resources, maintaining interaction context, and integrating agents with varying capabilities and functions. Traditional approaches often lead to bottlenecks and underutilization of resources, undermining these intelligent systems’ potential efficiency and effectiveness.

A research team from Rutgers University has developed the AIOS (Agent-Integrated Operating System), a pioneering LLM agent operating system designed to streamline the deployment and operation of LLM-based agents. This system is engineered to enhance resource allocation, enable the concurrent execution of multiple agents, and maintain a coherent context throughout agent interactions, optimizing agent operations’ overall performance and efficiency.