Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI

University of Arizona aerospace and mining engineers are mapping out a plan for harvesting the moon’s resources using autonomous robot swarms and new excavation techniques.

With scientists beginning to more seriously consider constructing bases on celestial bodies such as the moon, the idea of space mining is growing in popularity.

After all, if someone from Los Angeles was moving to New York to build a house, it would be a lot easier to buy the building materials in New York rather than buy them in Los Angeles and lug them 2,800 miles. Considering the distance between Earth and the moon is about 85 times greater, and that getting there requires defying gravity, using the moon’s existing resources is an appealing idea.

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Companies have two to three years to lay the groundwork for successful use of generative AI, synthetic data and orchestration platforms.

Users want more than artificial intelligence can provide at the moment but those capabilities are changing fast, according to Gartner’s Hype Cycle for Artificial Intelligence 2021 report. Gartner analysts described 34 types of AI technologies in the report and also noted that the AI hype cycle is more fast-paced, with an above-average number of innovations reaching mainstream adoption within two to five years.

Gartner analysts found more innovations in the innovation trigger phase of the hype cycle than usual. That means that end users are looking for specific technology capabilities that current AI tools can’t quite deliver yet. Synthetic data, orchestration platforms, composite AI, governance, human-centered AI and generative AI are all in this early phase.

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#ElonMusk is on a better path than Bezos is partly because he’s working on his brain chip and once that brain chip has been made dubbed complete he can make it so it works with tech and we can merge Tech with people which means that we can make a life out of tech and have our body be completely made robotic and as long as we have materials like synthetic blood that feeds and sustains the brain with the proper nutrients to stay alive. Theoretically u could live much longer. He seems to have the robot body and robot made and chip almost complete now he needs the synthetic sustainable blood for a human brain 🧠 implant into the robot tech body using Brian chip to control it. Immortality In theory the brain doesn’t have to be in the robotic body it can still be connected to the body through a central location via #StarLink #Robot links https://fb.watch/7UAKDX92Vh/ https://fb.watch/7Uyo7JYdok/ “Life is a video game in that aspect” But even without the brain merge you will be able to pair our minds with these AI robots and use them on 🌎 earth or beyond like a ship to #Mars or any other place that can get the signal from the brain to the robotic body.

Elon is at it again.

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Our partners at UK Atomic Energy Authority and Createc brought Spot to Sellafield Ltd to demonstrate how Spot can automate nuclear inspections, support decommissioning, and reduce risk for people in hazardous environments. Watch the full video: https://bit.ly/3ttOgcr

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I wish I had some sort of different response to give than this, but this summary is totally clear-eyed about the coming Semantic Apocalypse.

Artistic corpocracy

It’s actually even worse (in a way aptly not noticed by the Google employee). Because as we discussed, in the future advanced versions of this sort of AI will be solely owned and developed by Big Tech due the scaling laws around how they’re trained and run. The immediate licensing of GPT-3 by Microsoft was an augury of this. Indeed, the rights to interact with these AIs will be some of the most valuable licenses on the planet in the next decade. Consumers, even academic AI researchers, will communicate with company-owned trillion-parameter AIs solely via oracles, getting nowhere near the source code. The future of this technology belongs to huge corporations with major resources. So it’s not really that “AI is automating art”—no, corporations are automating art. And writing. And translation. And illustration. And music. And the thousand other human forms of creativity that give life meaning. They are now the province of Big Tech.

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US Secretary of Commerce Gina Raimondo has announced that the Commerce Department has established a high-level committee to advise the President and other federal agencies on a range of issues related to artificial intelligence (AI). Working with the National AI Initiative Office (NAIIO) in the White House Office of Science and Technology Policy (OSTP), the Department is now seeking to recruit top-level candidates to serve on the committee.

A formal notice describing the National Artificial Intelligence Advisory Committee (NAIAC) and the call for nominations for the committee and its Subcommittee on Artificial Intelligence and Law Enforcement appears in the Federal Register published today.

“AI presents an enormous opportunity to tackle the biggest issues of our time, strengthen our technological competitiveness, and be an engine for growth in nearly every sector of the economy,” said Secretary Raimondo. “But we must be thoughtful, creative, and wise in how we address the challenges that accompany these new technologies. That includes, but is not limited to, ensuring that President Biden’s comprehensive commitment to advancing equity and racial justice extends to our development and use of AI technology. This committee will help the federal government to do that by providing insights into a full range of issues raised by AI.”

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Isaac Newton’s groundbreaking scientific productivity while isolated from the spread of bubonic plague is legendary. University of California San Diego physicists can now claim a stake in the annals of pandemic-driven science.

A team of UC San Diego researchers and colleagues at Purdue University have now simulated the foundation of new types of artificial intelligence computing devices that mimic brain functions, an achievement that resulted from the COVID-19 pandemic lockdown. By combining new supercomputing materials with specialized oxides, the researchers successfully demonstrated the backbone of networks of circuits and devices that mirror the connectivity of neurons and synapses in biologically based neural networks.

The simulations are described in the Proceedings of the National Academy of Sciences (PNAS).

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