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Of course, every generation regards its reckoning with new technology as a turning point for the species. But what’s important to realize, whether our blip in history is truly pivotal or just another moment of five-alarm normalcy, is this: The choices people make in the face of anxiety always determine whether the world they leave behind looks more utopian than dystopian.


Every generation regards its reckoning with new technology as a turning point for the species. You just have to learn to stop worrying and love the future.

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Let’s say you are the program manager of a very large, complex system. Perhaps it’s an aircraft, or a building, or a communications network. Your system is valued at over US $500 million. Could you imagine being told that you won’t ever be able to maintain it? That once it’s operational, it will never be inspected, repaired, or upgraded with new hardware?

Welcome to the world of satellite building. After a satellite is launched, it is on a one-way journey to disrepair and obsolescence, and there is little anyone can do to alter that path. Faults (which are called anomalies in the space business) can only be diagnosed remotely, using data and inferential reasoning. Software fixes and upgrades may be possible, but the nuts and bolts remain untouched. The upshot: Even if a satellite is operating well, it could lose its state-of-the-art status just a few years into a typical 15-year lifetime.

If governments and private companies could actively repair and revitalize their satellites in geosynchronous orbit—and move them to new orbits as needed—they could extend the lifespans of their investments and substantially defer the cost of building and launching replacements.

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Rooting for the AI’s.


Artificial intelligence is revolutionizing warfare and espionage in ways similar to the invention of nuclear arms and ultimately could destroy humanity, according to a new government-sponsored study.

Advances in artificial intelligence, or AI, and a subset called machine learning are occurring much faster than expected and will provide U.S. military and intelligence services with powerful new high-technology warfare and spying capabilities, says a report by two AI experts produced for Harvard’s Belfer Center.

The range of coming advanced AI weapons include: robot assassins, superfast cyber attack machines, driverless car bombs and swarms of small explosive kamikaze drones.

Berkeley-based quantum computing firm Rigetti will allow 40 machine learning startups from 11 countries to make use of its devices to help crunch their AI problems.

Rigetti is small compared to its main rivals—the likes of Google, IBM, and Intel. But as we’ve reported in the past, the firm is working on a complex chip architecture that promises to scale up well, and should be particularly suited to applications like machine learning and chemistry simulations. That’s why we made it one of our 50 Smartest Companies of 2017.

But, like IBM and Google, part of Rigetti’s business model has always been to develop a kind of quantum-powered cloud service that would allow people to make use of its technology remotely. The newly announced partnership—which will be with companies from Creative Destruction Lab, a Canadian incubator that focuses on science-based startups—is a chance to test that theory out using Rigetti’s Forest programming environment.

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Futurist José Cordeiro talks longevity, AI, and the humanitarian crisis in Venezuela.

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Small convoys of partially driverless lorries will be tried out on major British roads by the end of next year, the government has announced.

A contract has been awarded to the Transport Research Laboratory (TRL) to carry out the tests of vehicle “platoons”.

Up to three lorries will travel in formation, with acceleration and braking controlled by the lead vehicle.

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The risk factor is that iCarbonX is handling more than personal data, but potentially vulnerable data as the company uses a smartphone application, Meum, for customers to consult for health advice. Remember that the Chinese nascent genomics and AI industry relies on cloud computing for genomics data-storage and exchange, creating, in its wake, new vulnerabilities associated with any internet-based technology. This phenomenon has severe implications. How much consideration has been given to privacy and the evolving notion of personal data in this AI-powered health economy? And is our cyberinfrastructure ready to protect such trove of personal health data from hackers and industrial espionage? In this new race, will China and the U.S. have to constantly accelerate their rate of cyber and bio-innovation to be more resilient? Refining our models of genomics data protection will become a critical biosecurity issue.

Why is Chinese access to U.S. genomic data a national security concern?

Genomics and computing research is inherently dual-use, therefore a strategic advantage in a nation’s security arsenal.

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