Lifeboat Foundation

A team of roboticists at California Institute of Technology’s Jet Propulsion Laboratory, working with a colleague from Carnegie Mellon University’s, Robotic Institute, has developed a snake-like robot to investigate the terrain on Enceladus, Saturn’s sixth-largest moon.

Computer scientists at Columbia Engineering have developed a transformative method for detecting AI-generated text. Their findings promise to revolutionize how we authenticate digital content, addressing mounting concerns surrounding large language models (LLMs), digital integrity, misinformation, and trust.

Nvidia presents Driving Everywhere with Large Language Model Policy Adaptation LLaDA is a simple yet powerful tool that enables human drivers and autonomous vehicles alike to by adapting their tasks and motion plans to traffic rules.

Nvidia presents Driving Everywhere with Large Language Model Policy Adaptation.

LLaDA is a simple yet powerful tool that enables human drivers and autonomous vehicles alike to by adapting their tasks and motion plans to traffic rules.

Continue reading “Driving Everywhere with Large Language Model Policy Adaptation” »

The process is ludicrously energy intensive, with experts estimating that the industry could soon suck up as much electricity as an entire country.

So it shouldn’t come as a surprise that OpenAI CEO Sam Altman is looking for cheaper alternatives. During a Bloomberg event at the annual World Economic Forum in Davos, Switzerland, the billionaire suggested that the AI models of tomorrow may require even more power — to the degree that they’ll need a whole new power source.

“There’s no way to get there without a breakthrough,” Altman told audiences, as quoted by Reuters. “It motivates us to go invest more in fusion,” adding that we need better ways to store energy from solar power.

CEO of OpenAI Sam Altman was speaking at Davos. Find out more here:

In the Davos session, ‘Technology in a Turbulent World’, OpenAI CEO Sam Altman explained where he sees AI heading. #wef24 #AI

GPU inception, with graphics cores processing AI workloads to generate graphics again.

Scientists trained an AI system to think before speaking with a technique called QuietSTaR. The inner monologue improved common sense reasoning and doubled math performance.

The move centers on a key issue in the fight to shape AI.

Figure 1 learned how to make coffee by watching a human do it, and now it can speak to you like a person.