Lifeboat Foundation: Safeguarding Humanity
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A s the mathematician De La Soul famously stated, three is the magic number. But if physicist Richard Feynman is to be believed, that figure is off by a factor of about 400. For Feynman, you see, the “magic number” is around 1/137 – specifically, it’s 1/137.03599913.

Physicists know it as α, or the fine structure constant. “It has been a mystery ever since it was discovered,” Feynman wrote in his 1985 book QED: The Strange Theory of Light and Matter. “All good theoretical physicists put this number up on their wall and worry about it.”

It’s both incredibly mysterious and unbelievably important: a seemingly random, dimensionless number, which nevertheless holds the secret to life itself.

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You’ve heard of hot Jupiters. You’ve heard of mini-Neptunes. You’ve heard of super-Earths. But have you heard of Eyeball Planets? Yep — planetary scientists think there might be a type of exoplanet out there that looks disturbingly like a giant eyeball. Just sitting there. Staring.

But it’s actually not as weird as it sounds — the appearance of these bodies has to do with tidal locking.

Tidal locking is when an orbiting body rotates at the same rate that it orbits. That means it always has one side facing the body it is orbiting, and the other side always facing away. The Moon, for instance, is tidally locked to Earth, that’s why we never see its far side from here.

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A world-first, non-invasive AI system can turn silent thoughts into text while only requiring users to wear a snug-fitting cap.

The Australian researchers who developed the technology, called DeWave, tested the process using data from more than two dozen subjects.

Participants read silently while wearing a cap that recorded their brain waves via electroencephalogram (EEG) and decoded them into text.

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How do we solve the problem of job displacement? “The best way out is always through,” as Robert Frost said.

In the face of AI advancements, it’s time to double down on our uniquely human capabilities: imagination, anticipation, emotions and judgment—traits that machines cannot replicate.

AI has proven itself capable of tackling routine tasks within closed management systems but struggles when faced with open-ended problems requiring creativity and adaptability—a realm where humans reign supreme. Remember, there is more to work than simply executing tasks; there’s also vision-setting, team-building and innovation-driving. These areas are immune from automation because they require “the human touch.”

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In theory, the immune system can recognize cancer cells as foreign and destroy them. In practice, this is often difficult, particularly after a tumor has become established in the body.

And even when immune cells, especially certain killer T cells, make it into a tumor, they face a hostile environment. This can include molecules that can disable T cells, low oxygen, and a lack of nutrients for energy. The end result is often a dysfunctional state known as T-cell exhaustion.

Now, a new study has confirmed the existence of yet another way that tumors can thwart T cells. In some tumors, a subset of cancer cells can act like a thief siphoning fuel from a car’s gas tank: they drain mitochondria —the tiny structures within cells that produce energy—from T cells and use them for their own energy needs.

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Two galaxies in the early universe, which contain extremely productive star factories, have been studied by a team of scientists led by Chalmers University of Technology in Sweden. Using powerful telescopes to split the galaxies’ light into individual colours, the scientists were amazed to discover light from many different molecules – more than ever before at such distances. Studies like this could revolutionise our understanding of the lives of the most active galaxies when the universe was young, the researchers believe.

When the universe was young, galaxies were very different from today’s stately spirals, which are full of gently-shining suns and colourful gas clouds. New stars were being born, at rates hundreds of times faster than in today’s universe. Most of this however, was hidden behind thick layers of dust, making it a challenge for scientists to discover these star factories’ secrets – until now. By studying the most distant galaxies visible with powerful telescopes, astronomers can get glimpses of how these factories managed to create so many stars.

In a new study, published in the journal Astronomy & Astrophysics, a team of scientists led by Chalmers astronomer Chentao Yang, used the telescopes of NOEMA (NOrthern Extended Millimetre Array) in France to find out more about how these early star factories managed to create so many stars. Yang and his colleagues measured light from two luminous galaxies in the early universe – one of them classified as a quasar, and both with high rates of star formation.

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