Lifeboat Foundation

A neutron star is the remnant of a massive star (bigger than 10 Suns) that has run out of fuel, collapsed, exploded, and collapsed some more. Its protons and electrons have fused together to create neutrons under the pressure of the collapse. The only thing keeping the neutrons from collapsing further is “neutron degeneracy pressure,” which prevents two neutrons from being in the same place at the same time.

Additionally, the star loses a lot of mass in the process and winds up only about 1.5 times the Sun’s mass. But all that matter has been compressed to an object about 10 miles (16 kilometers) across. A normal star of that mass would be more than 1 million miles (1.6 million km) across.

A tablespoon of the Sun, depending on where you scoop, would weigh about 5 pounds (2 kilograms) — the weight of an old laptop. A tablespoon of neutron star weighs more than 1 billion tons (900 billion kg) — the weight of Mount Everest. So while you could lift a spoonful of Sun, you can’t lift a spoonful of neutron star.

RNA interference (RNAi) technology has gradually become a cutting-edge technology for treating diseases such as genetic disorders and cancer due to its huge potential in gene expression regulation. However, the efficient delivery and safety of short interfering RNA (siRNA) remain key challenges for its clinical application.

Artificial General Intelligence (AGI) is a field within artificial intelligence (AI) where researchers are working to develop a computer system that can surpass human intelligence in various tasks.

These systems might understand themselves and control their actions, including changing their own code. They could learn to solve problems on their own, just like humans, without needing to be taught.

The term “Artificial General Intelligence (AGI)” was first used in a 2007 book, which is a collection of essays edited by computer scientist Ben Goertzel and AI researcher Cassio Pennachin.

For several decades, although studies of rat physiology and behavior have abounded, research on rat emotions has been limited in scope to fear, anxiety, and pain. Converging evidence for the capacity of many species to share others’ affective states has emerged, sparking interest in the empathic capacities of rats. Recent research has demonstrated that rats are a highly cooperative species and are motivated by others’ distress to prosocial actions, such as opening a door or pulling a chain to release trapped conspecifics. Studies of rat affect, cognition, and neural function provide compelling evidence that rats have some capacity to represent others’ needs, to instrumentally act to improve their well-being, and are thus capable of forms of targeted helping. Rats’ complex abilities raise the importance of integrating new measures of rat well-being into scientific research.

Explore the theory that some black holes might be hidden wormholes, offering shortcuts through space-time. Discover how scientists aim to detect them.

A Milan-based deep tech startup, Ephos, raised $8.5M in a seed round led by Starlight Ventures to accelerate the development of its glass-based quantum photonic chips. The company aims to transform not just quantum computing and AI but also the broader computational infrastructure of the future.

Other participants included Collaborative Fund, Exor Ventures, 2100 Ventures, and Unruly Capital. The round also attracted angel investors such as Joe Zadeh, former Vice President at Airbnb; Diego Piacentini, former Senior Vice President at Amazon; and Simone Severini, General Manager of Quantum Technologies at Amazon Web Services.

In addition to private investment, Ephos received funding from the European Innovation Council (EIC) and €450,000 in non-dilutive financing from NATO’s Defence Innovation Accelerator (DIANA).

AI memory management startup Letta just emerged from stealth with $10 million in seed led by Felicis and a bunch of big-name angels.

New study suggests that black holes may not be the featureless, structureless entities that Einstein’s general theory of relativity predicts them to be.

The frozen star is a recent proposal for a nonsingular solution of Einstein’s equations that describes an ultracompact object which closely resembles a black hole from an external perspective. The frozen star is also meant to be an alternative, classical description of an earlier proposal, the highly quantum polymer model. Here, we show that the thermodynamic properties of frozen stars closely resemble those of black holes: frozen stars radiate thermally, with a temperature and an entropy that are perturbatively close to those of black holes of the same mass. Their entropy is calculated using the Euclidean-action method of Gibbons and Hawking. We then discuss their dynamical formation by estimating the probability for a collapsing shell of “normal’’ matter to transition, quantum mechanically, into a frozen star.

In the next couple of decades, we will be able to do things that would have seemed like magic to our grandparents.

This phenomenon is not new, but it will be newly accelerated. People have become dramatically more capable over time; we can already accomplish things now that our predecessors would have believed to be impossible.

We are more capable not because of genetic change, but because we benefit from the infrastructure of society being way smarter and more capable than any one of us; in an important sense, society itself is a form of advanced intelligence. Our grandparents – and the generations that came before them – built and achieved great things. They contributed to the scaffolding of human progress that we all benefit from. AI will give people tools to solve hard problems and help us add new struts to that scaffolding that we couldn’t have figured out on our own. The story of progress will continue, and our children will be able to do things we can’t.