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Category: singularity

Let’s just go ahead and address the question on everyone’s mind: will AI kill us? What is the negative potential of transhuman superintelligence? Once its cognitive power surpasses our own, will it give us a leg-up in ‘the singularity’, or will it look at our collective track record of harming our own species, other species, the world that gave us life, etc., and exterminate us like pests? AI expert Ben Goertzel believes we’ve been at this point of uncertainty many times before in our evolution. When we stepped out of our caves, it was a risk – no one knew it would lead to cities and space flight. When we spoke the first word, took up agriculture, invented the printing press, flicked the internet on-switch – all of these things could have led to our demise, and in some sense, our eventual demise can be traced all the way back to the day that ancient human learnt how to make fire. Progress helps us, until the day it kills us. That said, fear of negative potential cannot stop us from attempting forward motion – and by now, says Goertzel, it’s too late anyway. Even if the U.S. decided to pull the plug on superhuman intelligence research, China would keep at it. Even if China pulled out, Russia, Australia, Brazil, Nigeria would march on. We know there are massive benefits – both humanitarian and corporate – and we have latched to the idea. “The way we got to this point as a species and a culture has been to keep doing amazing new things that we didn’t fully understand,” says Goertzel, and for better or worse, “that’s what we’re going to keep on doing.” Ben Goertzel’s most recent book is AGI Revolution: An Inside View of the Rise of Artificial General Intelligence.

Ben Goertzel’s most recent book is AGI Revolution: An Inside View of the Rise of Artificial General Intelligence.

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Great read and highlights what I have been showing folks around the convergence that is occurring between technology and biology via Quantum. We’re achieving (in the Epoch chart on Singularity Evolution) Epoch 5 via Quantum Bio and our work we’re seeing from DARPA, Microsoft, Amazon, Google, and others. Synbio has to mimic the properties we see with Quantum Biology/ Biosystems. And, things like DARPA’s own RadioBio will enable and expose many things on multiple fronts in Biosensors (including security), IoT, healthcare/ medical prevention management and treatments, AI, etc.

Singularity – the state of being singular; Oneness.

The biological system is a natural form of technology. A simple examination of the nanobiology of the macromolecular system of any cell will attest to this – enzymes and structural proteins are veritable nanomachines, linked to the information processing network of DNA and plasma membranes. Far from being a primordial or rudimentary organic technology – we are discovering more and more the level of complexity and paragon technological sophistication of living systems, which as is being discovered, even includes non-trivial quantum mechanical phenomena once thought to only be possible in the highly specialized and controlled environment of the laboratory.

Reciprocally, soon our technologies will become living systems – particularly through nanotechnology (which is being accomplished through reverse engineering and hybridization with biomolecules, particularly DNA) and general artificial intelligence – machine sentience. Following this parallelization of biology with technology, we can examine how humanity as a technological supraorganism is undergoing a period of punctuated speciation – an evolutionary transformation of both our inner and outer world.

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Recent evidence suggests that a variety of organisms may harness some of the unique features of quantum mechanics to gain a biological advantage. These features go beyond trivial quantum effects and may include harnessing quantum coherence on physiologically important timescales.

Quantum Biology — Quantum Mind Theory

Nice write up. What is interesting is that most folks still have not fully understood the magnitude of quantum and how as well as why we will see it as the fundamental ingredient to all things and will be key in our efforts around singularity.

When it comes to studying transportation systems, stock markets and the weather, quantum mechanics is probably the last thing to come to mind. However, scientists at Australia’s Griffith University and Singapore’s Nanyang Technological University have just performed a ‘proof of principle’ experiment showing that when it comes to simulating such complex processes in the macroscopic world quantum mechanics can provide an unexpected advantage.

Griffith’s Professor Geoff Pryde, who led the project, says that such processes could be simulated using a “quantum hard drive”, much smaller than the required for conventional simulations.

“Stephen Hawking once stated that the 21st century is the ‘century of complexity’, as many of today’s most pressing problems, such as understanding climate change or designing transportation system, involve huge networks of interacting components,” he says.

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Can science really enable us stick around on Earth forever? Experts haven’t developed ways to make us invincible, immortal beings who are unsusceptible to physical trauma or starvation. However, studies have been going on to make aging just another preventable disease. Effectively stalling the deterioration of our bodies would then mean humans could live indefinitely.

Peter Diamandis, co-founder of San Diego-based genotype research facility Human Longevity, Inc., spoke at the Singularity University in California last September about challenging aging and the deterioration of the body. The key to unlocking an indefinite lifespan was to improve the repair mechanisms of the body, said Diamandis. His research teams consider the possibility of using stem cells or nanomachines to regenerate our bodies.

Last year, researchers from the Stanford University School of Medicine have used chromosome extensions that dramatically increased the rate of cell division, a growth mechanism of our bodies that weakens over time. The development hints at a chance to turn back the biological clock.

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Is Synbio the next big thing? Hmmm; depends. If we’re talking about ensuring that we have a solid foundation/ infrastructure (including platforms; etc.) on QC 1st then with the existing evolution and maturity of the fundamentals around Synbio as a 1st step; then accelerating the further maturity of Synbio into creating super humans and singularity? My answer is yes. If we’re not even considering that we need QC and just focused on Synbio only; my answer is No as QC will be required as a foundation for things like real Humanoid AI, cell circuited humans/ super humans, etc.

Why we might soon be buying silk, wood, and more fabricated out of genetic code.

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Carrie Fisher just died but she will likely come back to life because the Singularity is Near and is bringing Singularity CGI with it!

Bringing the dead back to life

In the latest Star Wars movie, Rogue One, five characters were brought back as they would have looked between episodes 3 and 4 of Star Wars. They were Princess Leia, Grand Moff Tarkin, Dr. Cornelius Evazan (who said “I have the death sentence on twelve systems” in episode 4), General Dodonna, and Mon Mothma. General Dodonna and Mon Mothma were brought back with the traditional method of using actors who looked similar to the original actors. The other three were brought back with CGI (computer-generated imagery), more specifically CGI enhanced with motion capture.

Princess Leia (Carrie Fisher) created by computer in Rogue One (credit: Lucasfilm)

Grand Moff Tarkin created by computer in Rogue One (credit: Lucasfilm)
(He looks better because he had more screen time so they spent more money on him.)

Motion capture has been used for a while including depicting Gollum in Lord of the Rings and all the apes in the latest Planet of the Apes movies but Grand Moff Tarkin was considered possibly too hard to do with today’s technology because people are better at seeing flaws in CGI humans than CGI apes and CGI twisted hobbits.

Here is how Grand Moff Tarkin was created:

English actor Guy Henry (Harry Potter) wore motion capture materials on his head so that his face could eventually be replaced with a digital likeness of Cushing’s (the original actor for Moff Tarkin). He was picked because he had a similar build and stature as Cushing and was able to speak in a similar manner.

Guy Henry looked a little different before the CGI was placed on top of him.
(credit: Industrial Light & Magic/Lucasfilm)

John Knoll, the chief creative officer at Industrial Light & Magic, wasn’t sure they were going to be able to pull this off. He said, “We did talk about Tarkin participating in conversations via hologram, or transferring that dialogue to other characters.” Tarkin ended up looking pretty good (actually fooling some critics!) although Dr. Evazan looked even better for his scene mostly because his distorted face doesn’t look completely human.

It takes a lot of work to make CGI look realistic!
(credit: Industrial Light & Magic/Lucasfilm)

Nvidia

Was this CGI good enough to envision Princess Leia having a significant role using this technology? Probably not. But something amazing happened in 2016. Nvidia completed an over $2 billion project to develop a new class of graphics/AI chips. An example of how good they were is that the new version of the Nvidia Titan X can do AI (artificial intelligence) 566% faster than the previous Titan X that was only released a year before. This $1,200 card is so popular that half a year after its release Nvidia is still rationing this card to two per customer. (Disney gets to use Nvidia cards that are even more powerful than the Titan X!)

Why does Nvidia matter to Star Wars fans? Because Nvidia’s chips power the CGI in virtually all movies. Nvidia is now making 100% of the profits of all companies selling graphics cards, with their chips being put into everything from Nintendo’s newest console to every Tesla car currently being built. This has caused Nvidia to soar in value, with their stock over tripling in 2016. This means that Nvidia is going to be able to spend a lot more than $2 billion on their next generation of graphics/AI chips! (Nvidia has found a way to use about the same architecture for AI chips and regular graphics chips.)

Not only is Nvidia’s new graphics/AI chip design affecting movies but they are helping make Ray Kurzweil’s prediction of human equivalent AI by 2029 a reality. Nvidia’s CEO Jen-Hsun Huang said, “AI is going to increase in capability faster than Moore’s Law. I believe it’s a kind of a hyper Moore’s Law phenomenon because it has the benefit of continuous learning. It has the benefit of large-scale networked continuous learning. Today, we roll out a new software package, fix bugs, update it once a year. That rhythm is going to change. Software will learn from experience much more quickly. Once one smart piece of software on one device learns something, then you can over-the-air (OTA) it across the board. All of a sudden, everything gets smarter.”

Singularity CGI

Nvidia’s improved chips are part of a three layer accelerating returns juggernaut that is affecting CGI and which we will call Singularity CGI.

Layer one of Singularity CGI is better hardware with Nvidia having just switched from 28 nanometer transistors to 16/14 nanometer transistors. (They are getting 16 nanometer technology from TSMC and 14 nanometer from Samsung.) A 14 nanometer part is only 140 atoms wide! Both Samsung and TSMC will be producing 10 nanometer parts in 2017, with large Nvidia parts likely in 2018. (The 10 nanometer parts in 2017 will be for companies like Apple who don’t need large, complex chips as Nvidia does.)

Layer two of Singularity CGI is better Nvidia designs which is what Nvidia just spent over two billion dollars on. Layer three of Singularity CGI is better software. An example of this exponentially improved software is that Disney Research and Carnegie Mellon University scientists have found that three computer vision methods commonly used to reconstruct 3D scenes produce superior results in capturing facial details when they are performed simultaneously, rather than independently.

“The quality of a 3D model can make or break the perceived realism of an animation,” said Paulo Gotardo, an associate research scientist at Disney Research. “That’s particularly true for faces; people have a remarkably low threshold for inaccuracies in the appearance of facial features. PGSF (photogeometric scene flow) could prove extremely valuable because it can capture dynamically moving objects in high detail and accuracy.”

Conclusion

The growing power of Singularity CGI means that when Disney is ready to release episode 9 in 2019, Disney will be able to use much more powerful Nvidia cards and more sophisticated software to bring Carrie Fisher back to life to finish her story whose first two parts were in The Force Awakens (episode 7) in 2015 and episode 8 in 2017. (Carrie already filmed her scenes for episode 8.)

To increase the chance of success of creating a realistic Carrie Fisher, Disney will even be given $50 million thanks to insurance through Lloyd’s of London to fund this effort. May the force be with us!

Ray Kurzweil is famous for his vision and prediction of a Technological Singularity by 2049 Although whenever Ray predicts a date like 2049, based on Kurzweil’s own past reviews of his predictions, he gives his predictions ten years late or early to develop. So by Ray’s personal standard his prediction timing of being correct on the Technological Singularity would be if it happened in the 2041 to 2059 time window. Usually his predictions are based upon exponential developments and progress, so he rarely would make an error in predicting something happening too early.

The technological singularity is the hypothesis that the invention of artificial superintelligence will abruptly trigger runaway technological growth, resulting in unfathomable changes to human civilization.

Some use “the singularity” in a broader way to refer to any radical changes in our society brought about by new technologies such as molecular nanotechnology, although Vinge and other writers specifically state that without superintelligence, such changes would not qualify as a true singularity.

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