Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 3637

The Google employee who claimed last June his company’s A.I. model could already be sentient, and was later fired by the company, is still worried about the dangers of new A.I.-powered chatbots, even if he hasn’t tested them himself yet.

Blake Lemoine was let go from Google last summer for violating the company’s confidentiality policy after he published transcripts of several conversations he had with LaMDA, the company’s large language model he helped create that forms the artificial intelligence backbone of Google’s upcoming search engine assistant, the chatbot Bard.

Lemoine told the Washington Post at the time that LaMDA resembled “a 7-year-old, 8-year-old kid that happens to know physics” and said he believed the technology was sentient, while urging Google to take care of it as it would a “sweet kid who just wants to help the world be a better place for all of us.”

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The human body relies heavily on electrical charges. Lightning-like pulses of energy fly through the brain and nerves and most biological processes depend on electrical ions traveling across the membranes of each cell in our body.

These are possible, in part, because of an imbalance in electrical charges that exists on either side of a cellular membrane. Until recently, researchers believed the membrane was an essential component to creating this imbalance. But that thought was turned on its head when researchers at Stanford University discovered that similar imbalanced electrical charges can exist between microdroplets of water and air.

Now, researchers at Duke University have discovered that these types of electric fields also exist within and around another type of cellular structure called biological condensates. Like oil droplets floating in water, these structures exist because of differences in density. They form compartments inside the cell without needing the physical boundary of a membrane.

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A new planet outside the solar system was discovered using Artificial Intelligence (AI) technology, in what can be called as a major success achieved by AI, which has been making headlines these days.

The technology was put into use by the astronomers to discover the new planet, which gave a major boost to machine learning.

Researchers, working at the University of Georgia, said that the discovery of a previously unknown planet which was present outside our solar system took place using the technology.

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As the USGS-operated Landsat 9 Earth observation satellite passed above Greenland on Monday, March 13, 2023, its photosensors trained on the frozen landscape below it detected something unusual: a mysterious series of tracks scoring the icy surface of a remote fjord.

It was a curious sight on Earth’s largest island, whose most defining features are barren tundra and monumental glaciers that cover most of its surface. The imposing natural conditions in Greenland, in other words, leave little room for signs of activity visible from space.

Yet something must have caused the unusual tracks scoring the Tunulliarfik Fjord that appeared in the imagery collected by Landsat 9 in March. What had been their source? Could their underlying cause have been natural, and if so, then what conditions might be responsible?

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