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Researchers at Sapience.org foresee market instability intensifying by the computer trading ‘arms race’

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Last Friday the sterling has experienced a dramatic, ultrafast crash. It lost 10% of its value in minutes after the Asian markets opened — a decline usually reserved to declarations of war, major earthquakes and global catastrophes — and bounced right back. Although the affected exchanges are yet to release the details, computer trading algorithms almost certainly played a key role. Just like the 2010 Flash Crash, yesterday’s event is characteristic to Ultrafast Extreme Events[1]: split-second spikes in trade caused by ever smarter algorithms razor-focused on making ever-quicker profits. But the arms race is only likely to intensify as computing speed accelerates and AI algorithms become more intelligent.

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California’s department of motor vehicles said late on Friday the most advanced self-driving cars will no longer be required to have a licensed driver, if federal officials deem them safe enough.

The regulator released a revision of draft regulations that opened a pathway for the public to access self-driving cars, prototypes of which automakers and tech companies are testing.

The redrafted regulations will be the subject of a public hearing on 19 October, in Sacramento.

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If you listen to the wrong people, the North American manufacturing industry is doomed.

There is no denying that the U.S. and Canada have been losing jobs to offshore competition for almost half a century. From 2000 to 2010 alone, 5.6 million jobs disappeared.

Interestingly, though, only 13 percent of those jobs were lost due to international trade. The vast remainder, 85 percent of job losses, stemmed from “productivity growth” — another way of saying machines replacing human workers.

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Research funding for AI risk soars:

GiveWell’s main guy Holden Karnofsky decided he was fully on board with the issue of AI risk, and the Open Philanthropy Project has given around $7.5 million total to the issue to date.

The latest funder to make AI a chief concern is the Open Philanthropy Project, anchored by the wealth of Dustin Moskovitz and Cari Tuna, which this year bumped up artificial intelligence risk to near the top of its priority list. This has led to its biggest grant to the field yet, $5.5 million toward the launch of the Center for Human-Compatible Artificial Intelligence, led by UC Berkeley prof and AI pioneer Stuart Russell.

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Interstellar travel is the term used for hypothetical manned or unmanned travel between stars. Interstellar travel will be much more difficult than interplanetary spaceflight; the distances between the planets in the Solar System are less than 30 astronomical units (AU)—whereas the distances between stars are typically hundreds of thousands of AU, and usually expressed in light-years. Because of the vastness of those distances, interstellar travel would require a high percentage of the speed of light, or huge travel time, lasting from decades to millennia or longer.

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