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Archive for the ‘singularity’ category: Page 59

Oct 29, 2017

The New Religions Obsessed with A.I

Posted by in categories: employment, Ray Kurzweil, robotics/AI, singularity, supercomputing

How far should we integrate human physiology with technology? What do we do with self-aware androids—like Blade Runner’s replicants—and self-aware supercomputers? Or the merging of our brains with them? If Ray Kurzweil’s famous singularity—a future in which the exponential growth of technology turns into a runaway train—becomes a reality, does religion have something to offer in response?


Yes, not only is A.I. potentially taking all of our jobs, but it’s also changing religion.

Brandon WithrowBrandon Withrow

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Oct 26, 2017

Building the Blockchain to End All Blockchains

Posted by in categories: bitcoin, cryptocurrencies, singularity

“If one blockchain were to become dominant, then the others may well fade away.” #singularityuniversity


Bitcoin, the first practical implementation of blockchain technology, was the buying opportunity of all time. The price of bitcoin has risen faster than any other asset in history, including tulips at the height of the tulip bubble.

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Oct 25, 2017

Billionaire CEO of SoftBank: Robots will have an IQ of 10,000 in 30 years

Posted by in categories: robotics/AI, singularity

I guess it makes sense if they will hit about 100 level in 2029, and then goes up from there.


Masayoshi Son says singularity, the moment when artificial intelligence surpasses the human brain, will happen in “in this century, for sure.”

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Oct 18, 2017

Stunning AI Breakthrough Takes Us One Step Closer to the Singularity

Posted by in categories: entertainment, robotics/AI, singularity

Remember AlphaGo, the first artificial intelligence to defeat a grandmaster at Go? Well, the program just got a major upgrade, and it can now teach itself how to dominate the game without any human intervention. But get this: In a tournament that pitted AI against AI, this juiced-up version, called AlphaGo Zero, defeated the regular AlphaGo by a whopping 100 games to 0, signifying a major advance in the field. Hear that? It’s the technological singularity inching ever closer.

A new paper published in Nature today describes how the artificially intelligent system that defeated Go grandmaster Lee Sedol in 2016 got its digital ass kicked by a new-and-improved version of itself. And it didn’t just lose by a little—it couldn’t even muster a single win after playing a hundred games. Incredibly, it took AlphaGo Zero (AGZ) just three days to train itself from scratch and acquire literally thousands of years of human Go knowledge simply by playing itself. The only input it had was what it does to the positions of the black and white pieces on the board. In addition to devising completely new strategies, the new system is also considerably leaner and meaner than the original AlphaGo.

Now, every once in a while the field of AI experiences a “holy shit” moment, and this would appear to be one of those moments. Looking back, other “holy shit” moments include Deep Blue defeating Garry Kasparov at chess in 1997, IBM’s Watson defeating two of the world’s best Jeopardy! champions in 2011, the aforementioned defeat of Lee Sedol in 2016, and most recently, the defeat of four professional no-limit Texas hold’em poker players at the hands of Libratus, an AI developed by computer scientists at Carnegie Mellon University.

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Oct 12, 2017

Contrasting Human Futures: Technotopian or Human-Centred?*

Posted by in categories: complex systems, cyborgs, education, homo sapiens, human trajectories, philosophy, posthumanism, robotics/AI, singularity, Singularity University, transhumanism

[*This article was first published in the September 2017 issue of Paradigm Explorer: The Journal of the Scientific and Medical Network (Established 1973). The article was drawn from the author’s original work in her book: The Future: A Very Short Introduction (Oxford University Press, 2017), especially from Chapters 4 & 5.]

We are at a critical point today in research into human futures. Two divergent streams show up in the human futures conversations. Which direction we choose will also decide the fate of earth futures in the sense of Earth’s dual role as home for humans, and habitat for life. I choose to deliberately oversimplify here to make a vital point.

The two approaches I discuss here are informed by Oliver Markley and Willis Harman’s two contrasting future images of human development: ‘evolutionary transformational’ and ‘technological extrapolationist’ in Changing Images of Man (Markley & Harman, 1982). This has historical precedents in two types of utopian human futures distinguished by Fred Polak in The Image of the Future (Polak, 1973) and C. P. Snow’s ‘Two Cultures’ (the humanities and the sciences) (Snow, 1959).

What I call ‘human-centred futures’ is humanitarian, philosophical, and ecological. It is based on a view of humans as kind, fair, consciously evolving, peaceful agents of change with a responsibility to maintain the ecological balance between humans, Earth, and cosmos. This is an active path of conscious evolution involving ongoing psychological, socio-cultural, aesthetic, and spiritual development, and a commitment to the betterment of earthly conditions for all humanity through education, cultural diversity, greater economic and resource parity, and respect for future generations.

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Oct 6, 2017

Brian Cox says we’ll soon upload our brains onto computers

Posted by in categories: computing, life extension, neuroscience, singularity

It may sound like the plot from the latest science fiction blockbuster, but uploading your brain onto a computer to achieve immortality could soon become a reality.

In a new interview, Professor Brian Cox said that the technique, known as ‘technological singularity’ could be available sooner than you think.

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Oct 4, 2017

The Singularity Must Be Decentralized

Posted by in categories: robotics/AI, singularity

The research community is beginning to understand that motivations are not a human “artifact” of consciousness, but part of the essential glue that binds consciousness together. Without motivations we have nothing that holds us to this vessel, ensuring that we continue to eat, pay our rent, and do other things necessary for our survival. Conscious machines will for this reason have motivations as well. Otherwise they simply just wouldn’t function. This is an important point because talk of the singularity often brings up visions of a single integrated “machine” that will inevitably enslave humanity. A better question is:

“Will AI be used to gain immense advantage for a single party (whether that party is the AI itself or the human that controls it), or will AI be used to maximize benefit for us all?”

Even if the AIs have interfaces that allow them to share information more rapidly than humans can through reading or watching media, separate AIs will have separate motivations from a single centralized AI. Given that a signature of consciousness is motivation, any consciousness will obviously be motivated to secure all the resources it needs to ensure its survival. In some cases, the most efficient way to secure resources is sharing. In other cases, it’s through competition. AIs might share resources, but they might also compete.

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Sep 30, 2017

Why Futurist Ray Kurzweil Isn’t Worried About Technology Stealing Your Job

Posted by in categories: Elon Musk, engineering, existential risks, Ray Kurzweil, robotics/AI, singularity

Innovation will do more good than harm, he says.

You know a topic is trending when the likes of Tesla’s Elon Musk and Facebook’s Mark Zuckerberg publicly bicker about its potential risks and rewards. In this case, Musk says he fears artificial intelligence will lead to World War III because nations will compete for A.I. superiority. Zuckerberg, meanwhile, has called such doomsday scenarios “irresponsible” and says he is optimistic about A.I.

But another tech visionary sees the future as more nuanced. Ray Kurzweil, an author and director of engineering at Google, thinks, in the long run, that A.I. will do far more good than harm. Despite some potential downsides, he welcomes the day that computers surpass human intelligence—a tipping point otherwise known as “the singularity.” That’s partly why, in 2008, he cofounded the aptly named Singularity University, an institute that focuses on world-changing technologies. We caught up with the longtime futurist to get his take on the A.I. debate and, well, to ask what the future holds for us all.

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Sep 27, 2017

Will artificial intelligence mean the end of jobs?

Posted by in categories: computing, disruptive technology, economics, robotics/AI, singularity

Will any of the jobs that exist today still be around in 20 years? Fast Future’s Steve Wells, Alexandra Whittington and Rohit Talwar explore whether automation is destined to rewrite all our futures.


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Sep 16, 2017

Next Big Futures from now to 2027

Posted by in categories: futurism, singularity

In 2011 Nextbigfuture projected a Mundane Singularity, where certain emerging technologies would start to have development and impact by Dec 2016.

There were various updates and the last update was in January of 2017.

I need to update and alter the January 2017 forecast andI will shift from calling it Mundane Singularity to Next Big Futures (Emerged Super technology or trillion dollar impacts). Therefore, to be included on the list something has to be a super-technology that will be emerging or in the some process of emergence or it has trillion or multi-trillion dollar impact.

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