Lifeboat Foundation

Elon Musk is suing OpenAI and Sam Altman for allegedly abandoning OpenAI’s original mission to develop artificial intelligence to benefit humanity.

“OpenAI, Inc. has been transformed into a closed-source de facto subsidiary of the largest technology company in the world: Microsoft,” Musk’s lawyers wrote in the lawsuit, which was filed late on Thursday in San Francisco.

“Under its new board, it is not just developing but is refining an AGI [Artificial General Intelligence] to maximize profits for Microsoft, rather than for the benefit of humanity,” claims the filing. “On information and belief, GPT-4 is an AGI algorithm.”

The lawsuit said Altman, along with OpenAI’s co-founder Greg Brockman, originally approached Musk to make an open source, non-profit company that would develop artificial intelligence technology for the “benefit of humanity”

The Microsoft-backed company’s focus on seeking profits breaks that agreement, lawyers for Musk said in the lawsuit.

OpenAI, Microsoft and Musk did not immediately respond to Reuters requests for comment.

“Our task,” Fedorov wrote, “is to make nature, the blind force of nature, into an instrument of universal resuscitation and to become a union of immortal beings.”

Fedorov’s writing never turned mainstream, but it did spawn a short-lived, visionary philosophical movement known as Cosmism. Materialized during the Industrial Revolution — a time of unprecedented societal change — the movement generally sought to redefine mankind’s relationship with technology and progress, with the ultimate goal of regulating the forces of nature so that humanity could achieve unity and immortality. The movement offered a more spiritual alternative to both futurism and communism.

Although the latter annihilated Cosmism before it had a chance to mature, its maxims have acquired new relevancy in the age of Big Tech. The following interview with Boris Groys, a distinguished professor of Russian and Slavic studies at New York University and editor of the new book Russian Cosmism, reveals why.

Superintelligent AI might solve all the world’s problems. It could cure cancer, eliminate human aging, create a world of abundance for all.

Superintelligent AI might also prove completely uncontrollable and destroy humanity, whether intentionally or as mere collateral damage in the path of achieving other goals.

The clashing viewpoints about the potential and dangers of peak AI live at the heart of the battle of techno-optimists and doomsayers, accelerationists vs doomers.

The notoriously pessimistic AI researcher Eliezer Yudkowsky is back with a new prediction about the future of humankind.

“If you put me to a wall,” he told The Guardian in a fascinating new interview, “and forced me to put probabilities on things, I have a sense that our current remaining timeline looks more like five years than 50 years. Could be two years, could be 10.”

If you’re wondering what “remaining timeline” means in this context, The Guardian’s Tom Lamont interpreted it as the “machine-wrought end of all things,” a “Terminator-like apocalypse,” or a “Matrix hellscape.”

Intuitive Machines said its team programmed the lander’s wide and narrow field-of-view cameras “to take five quick images every five minutes for two hours, starting 100 seconds after separating from SpaceX’s second stage,” adding that “out of all the images collected, Intuitive Machines chose to show humanity’s place in the universe with four wonderful images we hope [will] inspire the next generation of risk-takers.”

In a mission update, Intuitive Machines said that Odysseus “continues to be in excellent health” as mission IM-1 makes its way toward the moon for a touchdown scheduled to take place on Thursday. “Flight controllers are preparing planned trajectory correction maneuvers to prepare the lander for lunar orbit insertion,” the company added in its message.

If Intuitive Machines manages to perform a successful soft landing with Odysseus, it will become the first private company to achieve the feat. It will also mark the first soft lunar landing by a U.S. spacecraft since the final Apollo mission in 1972.

Researchers at the University of Pennsylvania have developed a new computer chip that uses light instead of electricity. This could improve the training of artificial intelligence (AI) models by improving the speed of data transfer and, more efficiently, reducing the amount of electricity consumed.

Humanity is building the exascale supercomputers today that can carry out a quintillion computations per second. While the scale of the computation may have increased, computing technology is still working on the principles that were first used in the 1960s.

Researchers have been working on developing computing systems based on quantum mechanics, too, but these computers are at least a few years from becoming widely available if not more. The recent explosion of AI models in technology has resulted in a demand for computers that can process large sets of information. The inefficient computing systems, though, result in high consumption of energy.

No American spacecraft has made a soft landing on the Moon since NASA’s Apollo 17 in 1972, but that could change soon as the Intuitive Machines’ Nova-C lander launched from the historic Launch Complex 39A at NASA’s Kennedy Space Center at 1:05 am EST (10:05 pm PST) last night. With a currently scheduled landing date of February 22, Nova-C (also called IM-1 Odysseus) is slated to land in Malapert-A crater, which is approximately 190 miles (300 kilometers) from the Moon’s south pole. This landing will also mark the first time a private company will perform a soft landing on the Moon and holds the potential to test technologies that could be used on future human missions with NASA’s Artemis program.

“NASA scientific instruments are on their way to the Moon – a giant leap for humanity as we prepare to return to the lunar surface for the first time in more than half a century,” NASA Administrator Bill Nelson said in a statement. “These daring Moon deliveries will not only conduct new science at the Moon, but they are supporting a growing commercial space economy while showing the strength of American technology and innovation. We have so much to learn through CLPS flights that will help us shape the future of human exploration for the Artemis Generation.”

The science instruments that will be traveling with Nova-C include the Lunar Node 1 Navigation Demonstrator, Laser Retroreflector Array, Navigation Doppler Lidar for Precise Velocity and Range Sensing, Radio Frequency Mass Gauge, Radio-wave Observations at the Lunar Surface of the Photoelectron Sheath, and Stereo Cameras for Lunar Plume-Surface Studies. All these instruments are designed to investigate how spacecraft can both land and operate on the lunar surface, specifically near the south pole of the Moon.

This timelapse of future technology begins with 2 Starships, launched to resupply the International Space Station. But how far into the future do you want to go?

Tesla Bots will be sent to work on the Moon, and A.I. chat bots will guide people into dreams that they can control (lucid dreams). And what happens when humanity forms a deeper understanding of dark energy, worm holes, and black holes. What type of new technologies could this advanced knowledge develop? Could SpaceX launch 100 Artificial Intelligence Starships, spread across our Solar System and beyond into Interstellar space, working together to form a cosmic internet, creating the Encyclopedia of the Galaxy. Could Einstein’s equations lead to technologies in teleportation, and laboratory grown black holes.

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