Lifeboat Foundation

Dr. Ben Goertzel CEO & Founder of the SingularityNET Foundation is particularly visible and vocal on his thoughts on Artificial Intelligence, AGI, and where research and industry are in regards to AGI. Speaking at the (Virtual) OpenCogCon event this week, Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence. He has decades of expertise applying AI to practical problems in areas ranging from natural language processing and data mining to robotics, video gaming, national security, and bioinformatics.

Are we at a turning point in AGI?

Dr. Goertzel believes that we are now at a turning point in the history of AI. Over the next few years he believes the balance of activity in the AI research area is about to shift from highly specialized narrow AIs toward AGIs. Deep neural nets have achieved amazing things but that paradigm is going to run out of steam fairly soon, and rather than this causing another “AI winter” or a shift in focus to some other kind of narrow AI, he thinks it’s going to trigger the AGI revolution.

Circa 2010

Updated at 18:30 EST to correct timeline of prediction to 2030 from 2020 Reverse-engineering the human brain so we can simulate it using computers may be just two decades away, says Ray Kurzweil, artificial intelligence expert and author of the best-selling book The Singularity is Near. It would be the first step toward creating machines \[…\].

A rejuvenation roadmap, and some info on Rejuvenate Bio.

Ray Kurzweil predicted the Technological Singularity will be reached in 2045. This actually means there will be strong AI, something like AGI that is 1 billion times more capable than the human brain in many aspects.

A black hole, at least in our current understanding, is characterized by having “no hair,” that is, it is so simple that it can be completely described by just three parameters, its mass, its spin and its electric charge. Even though it may have formed out of a complex mix of matter and energy, all other details are lost when the black hole forms. Its powerful gravitational field creates a surrounding surface, a “horizon,” and anything that crosses that horizon (even light) cannot escape. Hence the singularity appears black, and any details about the infalling material are also lost and digested into the three knowable parameters.

Astronomers are able to measure the masses of black holes in a relatively straightforward way: watching how matter moves in their vicinity (including other black holes), affected by the gravitational field. The charges of black holes are thought to be insignificant since positive and negative infalling charges are typically comparable in number. The spins of black holes are more difficult to determine, and both rely on interpreting the X-ray emission from the hot inner edge of the accretion disk around the black hole. One method models the shape of the X-ray continuum, and it relies on good estimates of the mass, distance, and viewing angle. The other models the X-ray spectrum, including observed atomic emission lines that are often seen in reflection from the hot gas. It does not depend on knowing as many other parameters. The two methods have in general yielded comparable results.

CfA astronomer James Steiner and his colleagues reanalyzed seven sets of spectra obtained by the Rossi X-ray Timing Explorer of an outburst from a stellar-mass black hole in our galaxy called 4U1543-47. Previous attempts to estimate the spin of the object using the continuum method resulted in disagreements between papers that were considerably larger than the formal uncertainties (the papers assumed a mass of 9.4 solar-masses and a distance of 24.7 thousand light-years). Using careful refitting of the spectra and updated modeling algorithms, the scientists report a spin intermediate in size to the previous ones, moderate in magnitude, and established at a 90% confidence level. Since there have been only a few dozen well confirmed black hole spins measured to date, the new result is an important addition.

Autonomous weapons present some unique challenges to regulation. They can’t be observed and quantified in quite the same way as, say, a 1.5-megaton nuclear warhead. Just what constitutes autonomy, and how much of it should be allowed? How do you distinguish an adversary’s remotely piloted drone from one equipped with Terminator software? Unless security analysts can find satisfactory answers to these questions and China, Russia, and the US can decide on mutually agreeable limits, the march of automation will continue. And whichever way the major powers lead, the rest of the world will inevitably follow.

Military scholars warn of a “battlefield singularity,” a point at which humans can no longer keep up with the pace of conflict.

Circa 2019 o,.0.

How did the universe evolve from a point of singularity, known as the Big Bang, into a massive structure whose boundaries seem limitless? New clues and insight into the evolution of the universe have recently been provided by an international team of physicists, who performed the most detailed large-scale simulation of the universe to date.

The researchers made their own universe in a box — a cube of space spanning more than 230 million light-years across. Previous cosmological simulations were either very detailed but spanned a small volume or less detailed across large volumes. The new simulation, known as TNG50, managed to combine the best of two worlds, producing a large-scale replica of the cosmos while, at the same time, allowing for unprecedented computational resolution.

Continue reading “Physicists perform the most detailed simulation of the Universe yet” »

Circa 2010 what someday we could use crispr to develop a biology singularity to find the epigenetics to evolve at lightning speed.

If you’re a sci-fi reader, you are probably familiar with the idea of the “technological singularity”. For the uninitiated, the Singularity is the idea that computational power is increasing so rapidly that soon there will be genuine artificial intelligence that will far surpass humans. Essentially, once you have smarter-than-human computers, they will drive their own advancement and we will no longer be able to comprehend the technology.

We can debate whether the singularity will or will not happen, and what the consequences might be, for a long time, but that’s not the point of this post. This post was inspired by the final chapter in Denialism by Michael Specter. In that chapter, Specter talks about the rapid advancement in biotechnology. Specifically, he points to the rapid increase in computational power and the resulting rapid increase in the speed of genome processing.

face_with_colon_three circa 2015 this guppy could lead to rapid biological singularity.

Some species are evolving far more quickly than Darwin ever imagined.

https://www.youtube.com/watch?v=BRJVCP4yeno&t=199s

You might like this interview I did with futurist writer Nikola Danaylov, who runs the Singularity Weblog and wrote ‘Conversations with the Future: 21 Visions for the 21st century’, on how advances in AI could utterly transform human society and the health of the global transhumanist movement.

I’m trying to grow my futurism YouTube channel (transhumanism, AI, space colonisation etr) so if this is of interest to you I’d be very grateful for any subscribers.

Continue reading “Has the transhumanist movement lost its way? Nikola Danaylov interview” »