Lifeboat Foundation

Elon Musk made some striking predictions about the impact of artificial intelligence (AI) on jobs and income at the inaugural AI Safety Summit in the U.K. in November.

The serial entrepreneur and CEO painted a utopian vision where AI renders traditional employment obsolete but provides an “age of abundance” through a system of “universal high income.”

“It’s hard to say exactly what that moment is, but there will come a point where no job is needed,” Musk told U.K. Prime Minister Rishi Sunak. “You can have a job if you want to have a job or sort of personal satisfaction, but the AI will be able to do everything.”

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Artificial general intelligence (AGI) — often referred to as “strong AI,” “full AI,” “human-level AI” or “general intelligent action” — represents a significant future leap in the field of artificial intelligence. Unlike narrow AI, which is tailored for specific tasks, such as detecting product flaws, summarizing the news, or building you a website, AGI will be able to perform a broad spectrum of cognitive tasks at or above human levels. Addressing the press this week at Nvidia’s annual GTC developer conference, CEO Jensen Huang appeared to be getting really bored of discussing the subject — not least because he finds himself misquoted a lot, he says.

The frequency of the question makes sense: The concept raises existential questions about humanity’s role in and control of a future where machines can outthink, outlearn and outperform humans in virtually every domain. The core of this concern lies in the unpredictability of AGI’s decision-making processes and objectives, which might not align with human values or priorities (a concept explored in-depth in science fiction since at least the 1940s). There’s concern that once AGI reaches a certain level of autonomy and capability, it might become impossible to contain or control, leading to scenarios where its actions cannot be predicted or reversed.

When sensationalist press asks for a timeframe, it is often baiting AI professionals into putting a timeline on the end of humanity — or at least the current status quo. Needless to say, AI CEOs aren’t always eager to tackle the subject.

When US biochemist Jennifer Doudna discovered the key for editing DNA, she opened scientific frontiers full of promise – and peril.

Quantum information theorists have turned Wigner’s friend into a powerful set of thought experiments for testing the plausibility of physical assumptions we make when we share information. These elaborated thought experiments involve multiple participants in multiple labs, entangled quantum states between friends and real-life entangled photon experiments to smoke out what our classical assumptions are.

Is there a fork in the road, classical or quantum? To stick with the classical interpretation that says Wigner’s friend involves two inconsistent descriptions of one state of affairs produces paradoxes. The quantum perspective implies there are descriptions of two different states of affairs. The first is intuitive but ends up in a contradiction, the other is less intuitive, but consistent. Quantum friendship means never having to say you’re sorry for your use of the formalism.

Robert P Crease is a professor (click link below for full bio), Jennifer Carter is a lecturer and Gino Elia is a PhD student, all in the Department of Philosophy, Stony Brook University, US.

The new map includes around 1.3 million quasars from across the visible universe and could help scientists better understand the properties of dark matter.

Astronomers have charted the largest-ever volume of the universe with a new map of active supermassive black holes living at the centers of galaxies. Called quasars, the gas-gobbling black holes are, ironically, some of the universe’s brightest objects.

Continue reading “In a Major Astronomical Feat, 1.3 Million Quasars Illuminate the Universe’s Past” »

Wafer-scale realization of a nanoscale magnetic tunnel junction hosting a single, ambient skyrmion enables its large readout, efficient switching, and compatibility with lateral manipulation, and thereby provides the backbone for all-electrical skyrmionic device architectures.

Chinese researchers are making variations of LK99 room temperature superconductor materials with more sulfur and copper in the chemistry. They are publishing results with stronger magnetic indications of a Meissner effect.

The chinese researchers have been online discussing their room temperature superconducting research and the challenges of the materials.

Here are the issues discussed.

By stabilizing a stationary giant quantum vortex in superfluid 4He and introducing a minimally invasive way to characterize the vortex flow, intricate wave–vortex interactions are shown to simulate black hole ringdown physics.