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Artificial general intelligence: Are we close, and does it even make sense to try?

#artificialintelligence

The idea of artificial general intelligence as we know it today starts with a dot-com blowout on Broadway. Twenty years ago--before Shane Legg clicked with neuroscience postgrad Demis Hassabis over a shared fascination with intelligence; before the pair hooked up with Hassabis's childhood friend Mustafa Suleyman, a progressive activist, to spin that fascination into a company called DeepMind; before Google bought that company for more than half a billion dollars four years later--Legg worked at a startup in New York called Webmind, set up by AI researcher Ben Goertzel. Today the two men represent two very different branches of the future of artificial intelligence, but their roots reach back to common ground. Even for the heady days of the dot-com bubble, Webmind's goals were ambitious. Goertzel wanted to create a digital baby brain and release it onto the internet, where he believed it would grow up to become fully self-aware and far smarter than humans.


SophiaPop: Experiments in Human-AI Collaboration on Popular Music

arXiv.org Artificial Intelligence

A diverse team of engineers, artists, and algorithms, collaborated to create songs for SophiaPop, via various neural networks, robotics technologies, and artistic tools, and animated the results on Sophia the Robot, a robotic celebrity and animated character. Sophia is a platform for arts, research, and other uses. To advance the art and technology of Sophia, we combine various AI with a fictional narrative of her burgeoning career as a popstar. Her actual AI-generated pop lyrics, music, and paintings, and animated conversations wherein she interacts with humans real-time in narratives that discuss her experiences. To compose the music, SophiaPop team built corpora from human and AI-generated Sophia character personality content, along with pop music song forms, to train and provide seeds for a number of AI algorithms including expert models, and custom-trained transformer neural networks, which then generated original pop-song lyrics and melodies. Our musicians including Frankie Storm, Adam Pickrell, and Tiger Darrow, then performed interpretations of the AI-generated musical content, including singing and instrumentation. The human-performed singing data then was processed by a neural-network-based Sophia voice, which was custom-trained from human performances by Cereproc. This AI then generated the unique Sophia voice singing of the songs. Then we animated Sophia to sing the songs in music videos, using a variety of animation generators and human-generated animations. Being algorithms and humans, working together, SophiaPop represents a human-AI collaboration, aspiring toward human AI symbiosis. We believe that such a creative convergence of multiple disciplines with humans and AI working together, can make AI relevant to human culture in new and exciting ways, and lead to a hopeful vision for the future of human-AI relations.


SingularityNET To Port A Portion Of Its Network To Cardano Blockchain - IntelligentHQ

#artificialintelligence

SingularityNET Foundation and leading blockchain research and development company IOHK, have announced that they are planning to port a significant portion of the SingularityNET decentralized protocol and platform from Ethereum to Cardano. This would involve providing mechanisms for swapping some of the current (Ethereum-based) ERC-20 AGI tokens to Cardano-based AGI tokens, and also creating analogues of the Solidity smart contracts underlying aspects of the SingularityNET platform using Cardano's new Plutus smart contract language. Dr. Ben Goertzel, CEO & Founder of the SinguarityNET Foundation, said: "Current speed and cost issues with the Ethereum blockchain have increased the urgency of exploring alternatives for SingluarityNET's blockchain underpinning. The ambitious Ethereum 2.0 design holds promise but the timing of rollout of different aspects of this next-generation Ethereum remains unclear, along with many of the practical particulars." Cardano's consensus mechanisms and associated algorithms and structures comprise a unique mix of rigorous theoretical grounding and practical scalability, and have now reached a level of maturity that makes it possible to port a complex blockchain application like SingularityNET to Cardano.


Artificial general intelligence: Are we close, and does it even make sense to try?

#artificialintelligence

But Legg and Goertzel stayed in touch. When Goertzel was putting together a book of essays about superhuman AI a few years later, it was Legg who came up with the title. "I was talking to Ben and I was like, 'Well, if it's about the generality that AI systems don't yet have, we should just call it Artificial General Intelligence,'" says Legg, who is now DeepMind's chief scientist. "And AGI kind of has a ring to it as an acronym." Goertzel's book and the annual AGI Conference that he launched in 2008 have made AGI a common buzzword for human-like or superhuman AI.


Full-stack AI solution SingularityNET switches Ethereum for Cardano

#artificialintelligence

Full-stack AI solution SingularityNET is switching the Ethereum blockchain for peer-reviewed rival Cardano. SingularityNET is a decentralised AI marketplace which has the ultimate goal of forming the basis for the emergence of the world's first true Artificial General Intelligence (AGI). One of the brightest and most respected minds in AI leads the SingularityNET project, Dr Ben Goertzel. "Current speed and cost issues with the Ethereum blockchain have increased the urgency of exploring alternatives for SingluarityNET's blockchain underpinning," says Goertzel. "The ambitious Ethereum 2.0 design holds promise but the timing of rollout of different aspects of this next-generation Ethereum remains unclear, along with many of the practical particulars."


Is Artificial General Intelligence (AGI) On The Horizon? Interview With Dr. Ben Goertzel, CEO & Founder, SingularityNET Foundation

#artificialintelligence

The ultimate vision of artificial intelligence are systems that can handle the wide range of cognitive tasks that humans can. The idea of a single, general intelligence is referred to as Artificial General Intelligence (AGI), which encopmasses the idea of a single, generally intelligent system that can act and think much like humans. However, we have not yet achieved this concept of the generally intelligent system and as such, current AI applications are only capable of narrow applications of AI such as recognition systems, hyperpersonaliztion tools and recommendation systems, and even autonomous vehicles. This raises the question: Is AGI really around the corner, or are we chasing an elusive goal that we may never realize? 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.


Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences

arXiv.org Artificial Intelligence

The DeepWalk algorithm is used to assign embedding vectors to nodes in the Atomspace weighted, labeled hypergraph that is used to represent knowledge in the OpenCog AGI system, in the context of an application to probabilistic inference regarding the causes of longevity based on data from biological ontologies and genomic analyses. It is shown that vector difference operations between embedding vectors are, in appropriate conditions, approximately alignable with "intensional difference" operations between the hypergraph nodes corresponding to the embedding vectors. This relationship hints at a broader functorial mapping between uncertain intensional logic and vector arithmetic, and opens the door for using embedding vector algebra to guide intensional inference control.


What are neural-symbolic AI methods and why will they dominate 2020?

#artificialintelligence

Dr. Goertzel has published 20 scientific books and 140 scientific research papers and is the leading architect and designer of the OpenCog system and associated design for human-level general intelli… (show all) Dr. Goertzel has published 20 scientific books and 140 scientific research papers and is the leading architect and designer of the OpenCog system and associated design for human-level general intelligence. Goertzel co-authored "Artificial General Intelligence," published in 2002 by Springer Publishing. He is also the chair of the Artificial General Intelligence (AGI) conference series, advisor to Singularity University and former Director of Research of the Machine Intelligence Research Institute (formerly the Singularity Institute). He also served as Chief Scientist Officer for Hanson Robotics until early 2019.


Create rather than kill with artificial intelligence, says AI pioneer

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From self-driving cars to Amazon's Alexa, artificial intelligence is already here. But some fear AI could be used to create killer robots. Nobel Peace laureate Jody Williams is helping to lead a campaign for a new international treaty to prohibit lethal autonomous weapons, which select targets to fire without consultation from a human being. Williams said at a news conference on Monday that killer robots "are crossing a moral and ethical Rubicon and should not be allowed to exist and be used in combat or in any other way". While more and more governments are heavily investing in AI for military purposes -- the Pentagon alone has pledged up to two billion dollars on AI research -- Ben Goertzel, the AI pioneer behind Sophia the Robot, told Euronews that he hopes humankind turns away from using AI, especially within the military.


Cisco partners with decentralised AI blockchain firm SingularityNET

#artificialintelligence

Cisco has established a partnership with blockchain firm SingularityNET to explore decentralised artificial intelligence. The partners are specifically looking at artificial general intelligence (AGI) technologies which aim to replicate the complex tasks of which humans are capable. AGI is considered a step above standard AI because it aims to add human-like reasoning capabilities in uncertain scenarios. Such processing will enable AGIs to do things like solve puzzles and make plans which are beyond that of today's AIs. "The scale of the AGI deployments needed by a partner like Cisco is going to be tremendous, and we are working hard to make sure our AGI tools and our blockchain-based platform is up to the task."