Lifeboat Foundation

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.

Race Speeds Up. Wallets open up. Agi 2025–2029.

Amazon is reportedly planning to spend a whopping $150 billion within the next 15 years on building data centers — a move that will position the tech giant to be able to handle an expected explosion with artificial intelligence applications and other digital services.

The spending spree, earlier reported on by Bloomberg, will also allow Amazon to maintain its top spot in the cloud services market, where it holds roughly twice the share of No. 2 player Microsoft.

Continue reading “Amazon reportedly to spend $150B to build data centers needed for AI boom, ‘get closer to customers’” »

Is anything ever normal in the AI industry?

A doozy of a scoop by the newsletter Nongaap Investing and extensively followed up by Business Insider certainly makes us wonder. The gist is that for a period of time in 2023, the person in charge of OpenAI’s $175 million startup fund appears to have been completely fake — and OpenAI says the documents filed with the California Secretary of State to put the fake person in charge were “completely fabricated.”

Head spinning yet? Us too. OpenAI is almost certainly the hottest startup on the planet right now, and it sounds like someone pulled an extrardinary fast one on it, with unclear goals. And lest you think this is some unimportant position, the person now running the fund is none other than OpenAI’s mercurial CEO, Sam Altman.

Google DeepMind researchers have developed a new AI system that excels in fact-checking, outperforming human annotators and saving costs, but critics question what ‘superhuman’ really means in this context.

The bot will see you now.

A new report reveals the chaos behind the startup Stability AI, including an incident where its now-ex CEO disappeared in his pajamas.