Lifeboat Foundation

Are you ready to discover the future of AI with GPT-5? In this video, we’ll explore the latest upd…

Skild AI, a startup that’s developing artificial intelligence-powered brains for robots, said today it has closed on a bumper $300 million early-stage funding round, bringing its valuation to a cool $1.5 billion.

The Series A round was led by a host of top-tier venture capital firms, including Lightspeed Venture Partners, Coatue, Softbank Group Corp. and Jeff Bezos’s Bezos Expeditions. It also saw participation from the likes of Felicis Ventures, Sequoia, Menlo Ventures, General Catalyst, CRV, Amazon, SV Angel and Carnegie Mellon University.

Skild AI is building what it says is a “shared, general-purpose brain” that will be able to equip a diverse group of robots that can perform multiple kinds of tasks in a wide range of scenarios, such as manipulating objects, locomotion and navigation. It says its AI intelligence can be integrated with any kind of robot, including humanoid bots with advanced computer vision skills designed to perform dexterous manipulation of objects in the home and in industrial settings, and more resilient quadruped robots that can navigate any physical environment.

A self-driving lab system spent half a year engineering enzymes to work at higher temperatures.

Even robots are overworked.

Internet of Agents.

Weaving a web of heterogeneous agents for collaborative intelligence.

The rapid advancement of large language models (LLMs) has paved the way for the development of highly capable autonomous agents.

Continue reading “Paper page — Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence” »

So I serve a hundred years in one day…’- Joe Haldeman, 2011.

Robot Preachers Found To Undermine Religious Commitment ‘Tell me your torments,’ the Padre said, in an elderly voice marked with compassion. — Philip K. Dick, 1969.

Continue reading “Cognify — A Prison Of The Mind We’ve Seen Before In SF” »

I watched United Nations delegates debate AI-based weapons that can fire without human initiation. Humans cannot be taken out of that decision-making.

By Kate Graham-Shaw

Imagine a weapon with no human deciding when to launch or pull its trigger. Imagine a weapon programmed by humans to recognize human targets, but then left to scan its internal data bank to decide whether a set of physical characteristics meant a person was friend or foe. When humans make mistakes, and fire weapons at the wrong targets, the outcry can be deafening, and the punishment can be severe. But how would we react, and who would we hold responsible if a computer programmed to control weapons made that fateful decision to fire, and it was wrong?

The authors identify reusable ‘dynamical motifs’ in artificial neural networks. These motifs enable flexible recombination of previously learned capabilities, promoting modular, compositional computation and rapid transfer learning. This discovery sheds light on the fundamental building blocks of intelligent behavior.

Researchers at the University of Tokyo developed a method to integrate engineered skin tissue with humanoid robots, enhancing mobility, self-healing, sensors, and realism.