Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 10529

Max Tegmark’s Life 3.0 tries to rectify the situation. Written in an accessible and engaging style, and aimed at the general public, the book offers a political and philosophical map of the promises and perils of the AI revolution. Instead of pushing any one agenda or prediction, Tegmark seeks to cover as much ground as possible, reviewing a wide variety of scenarios concerning the impact of AI on the job market, warfare and political systems.

Yuval Noah Harari responds to an account of the artificial intelligence era and argues we are profoundly ill-prepared to deal with future technology.

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‘UN diplomats confirmed that the new email release would worsen the “bad name” of gene drives in some circles. “Many countries [will] have concerns when this technology comes from DARPA, a US military science agency,” one said.‘.

Cutting-edge gene editing tools such as Crispr-Cas9 work by using a synthetic ribonucleic acid (RNA) to cut into DNA strands and then insert, alter or remove targeted traits. These might, for example, distort the sex-ratio of mosquitoes to effectively wipe out malarial populations.

Some UN experts, though, worry about unintended consequences. One told the Guardian: “You may be able to remove viruses or the entire mosquito population, but that may also have downstream ecological effects on species that depend on them.”

“My main worry,” he added, “is that we do something irreversible to the environment, despite our good intentions, before we fully appreciate the way that this technology will work.”

Continue reading “US military agency invests 0m in genetic extinction technologies” | >

Of course, it’s not actually all that doom and gloom, the child AI is really only capable of a specific task – image recognition. Using its AutoML AI, Google’s AI-building AI created its child AI using a technique called reinforcement learning. This works just like machine learning, except it’s entirely automated where AutoML acts as the neural network for its task-driven AI child.

Known as NASNet, the child AI was tasked with recognising objects in a video, in real time. AutoML would then evaluate how good NASNet was at its task and then improve its algorithms using the data to create a superior version of NASNet.

READ NEXT: Watching an AI create fake celebrity faces is nightmare fuel.

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A team of researchers who helped shape our understanding of the origin, evolution and nature of the cosmos is now $3 million richer.

Those folks worked on NASA’s WMAP space mission, which was awarded the 2018 Breakthrough Prize in Fundamental Physics today (Dec. 3) during a ceremony in Palo Alto, California.

From 2001 to 2009, WMAP mapped the cosmic microwave background (CMB) — the light left over from the Big Bang — with unprecedented precision. This work allowed scientists to nail down the age of the universe (about 13.8 billion years), its rate of accelerating expansion (roughly 70 kilometers per second per megaparsec) and its basic composition (about 5 percent “normal” matter, 24 percent dark matter and 71 percent dark energy). [Dark Matter and Dark Energy: The Mystery Explained (Infographic)].

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