Lifeboat Foundation

Artificial intelligence is a superior lifeform that humans are creating, and many AI researchers have outlined various scenarios in which this technology can pose an existential risk to humanity that could result in the literal end of the world.

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Did humanity miss the party? Are SETI, the Drake Equation, and the Fermi Paradox all just artifacts of our ignorance about Advanced Life in the Universe? And if we are wrong, how would we know?

A new study focusing on black holes and their powerful effect on star formation suggests that we, as advanced life, might be relics from a bygone age in the Universe.

Universe Today readers are familiar with SETI, the Drake Equation, and the Fermi Paradox. All three are different ways that humanity grapples with its situation. They’re all related to the Great Question: Are We Alone? We ask these questions as if humanity woke up on this planet, looked around the neighbourhood, and wondered where everyone else was. Which is kind of what has happened.

Suppose a large inbound asteroid were discovered, and we learned that half of all astronomers gave it at least 10% chance of causing human extinction, just as a similar asteroid exterminated the dinosaurs about 66 million years ago. Since we have such a long history of thinking about this threat and what to do about it, from scientific conferences to Hollywood blockbusters, you might expect humanity to shift into high gear with a deflection mission to steer it in a safer direction.

Sadly, I now feel that we’re living the movie “Don’t look up” for another existential threat: unaligned superintelligence. We may soon have to share our planet with more intelligent “minds” that care less about us than we cared about mammoths. A recent survey showed that half of AI researchers give AI at least 10% chance of causing human extinction. Since we have such a long history of thinking about this threat and what to do about it, from scientific conferences to Hollywood blockbusters, you might expect that humanity would shift into high gear with a mission to steer AI in a safer direction than out-of-control superintelligence. Think again: instead, the most influential responses have been a combination of denial, mockery, and resignation so darkly comical that it’s deserving of an Oscar.

Continue reading “The ‘Don’t Look Up’ Thinking That Could Doom Us With AI” »

It’s possibly the most famous question in all of science — where is everyone? Join us today for deep dive into Fermi Paradox.

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Using Zoonomia’s data, researchers have also constructed a phylogenetic tree that estimates when each mammalian species diverged from its ancestors⁵. This analysis lends support to the hypothesis that mammals had already started evolutionarily diverging before Earth was struck by the asteroid that killed the dinosaurs about 65 million years ago — but that they diverged much more rapidly afterwards.

Only the beginning

The Zoonomia Project is just one of dozens of efforts to sequence animal genomes. Another large effort is the Vertebrate Genomes Project (VGP), which aims to generate genomes for roughly all 71,000 living vertebrate species, which include mammals, reptiles, fish, birds and amphibians. Although the two projects are independent of one another, many researchers are a part of both, says Haussler, who is a trustee of the VGP.

“As a computer scientist, I don’t like the term ” A.I.” In fact, I think it’s misleading—maybe even a little dangerous. Everybody’s already using the term, and it might seem a little late in the day to be arguing about it. But we’re at the beginning of a new technological era—and the easiest way to mismanage a technology is to misunderstand it.

The term artificial intelligence has a long history—it was coined in the nineteen-fifties, in the early days of computers. More recently, computer scientists have grown up on movies like The Terminator and The Matrix, and on characters like Commander Data, from Star Trek: The Next Generation. These cultural touchstones have become an almost religious mythology in tech culture. It’s only natural that computer scientists long to create A.I. and realize a long-held dream.

What’s striking, though, is that many of the people who are pursuing the A.I. dream also worry that it might mean doomsday for mankind. It is widely stated, even by scientists at the very center of today’s efforts, that what A.I. researchers are doing could result in the annihilation of our species, or at least in great harm to humanity, and soon. In a recent poll, half of A.I. scientists agreed that there was at least a ten-per-cent chance that the human race would be destroyed by A.I.

Over the past 100 million years, mammals have adapted to nearly every environment on Earth. Scientists with the Zoonomia Project have been cataloging the diversity in mammalian genomes by comparing DNA sequences from 240 species that exist today, from the aardvark and the African savanna elephant to the yellow-spotted rock hyrax and the zebu.

This week, in several papers in a special issue of Science, the Zoonomia team has demonstrated how comparative genomics can not only shed light on how certain species achieve extraordinary feats, but also help scientists better understand the parts of our genome that are functional and how they might influence health and disease.

In the new studies, the researchers identified regions of the genomes, sometimes just single letters of DNA, that are most conserved, or unchanged, across mammalian species and millions of years of evolution—regions that are likely biologically important. They also found part of the genetic basis for uncommon mammalian traits such as the ability to hibernate or sniff out faint scents from miles away. And they pinpointed species that may be particularly susceptible to extinction, as well as genetic variants that are more likely to play causal roles in rare and common human diseases.

In today’s well-researched world, death is one of those unknown barriers. It was pursued by British scientists… The color of death is a faint blue.

British scientists got a firsthand look at what it’s like to die. They took a close look at the worm in the experiment. During this stage of passage, cells will perish. It starts a chain reaction that leads to the creature’s extinction and destroys cell connections.

Continue reading “Researchers Took The First Pics Of DEATH — It Is Actually PALE BLUE And Looks Nice” »

In this talk, De Kai examines how AI amplifies fear into an existential threat to society and humanity, and what we need to be doing about it. De Kai’s work across AI, language, music, creativity, and ethics centers on enabling cultures to interrelate. For pioneering contributions to machine learning of AIs like Google/Yahoo/Microsoft Translate, he was honored by the Association for Computational Linguistics as one of only seventeen Founding Fellows worldwide and by Debrett’s HK 100 as one of the 100 most influential figures of Hong Kong. De Kai is a founding Professor of Computer Science and Engineering at HKUST and Distinguished Research Scholar at Berkeley’s ICSI (International Computer Science Institute). His public campaign applying AI to show the impact of universal masking against Covid received highly influential mass media coverage, and he serves on the board of AI ethics think tank The Future Society. De Kai is also creator of one of Hong Kong’s best known world music collectives, ReOrientate, and was one of eight inaugural members named by Google to its AI ethics council. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.