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Elon Musk tweets 'Facebook sucks' at company's Head of AI after criticism

The Independent - Tech

Tesla and SpaceX CEO Elon Musk tweeted that "Facebook sucks" after an argument over AI on Twitter. Mr Musk made the comments to the company's head of artificial intelligence Jerome Pesenti after Pesenti criticised Musk's knowledge of artificial intelligence. The comments came after a CNBC report that said multiple anonymous AI researchers said they saw Musk's views on the technology as inappropriate. Musk has previously warned that AI will become as intelligent as humans and could threaten humanity's very existence, saying that "there's a five to 10 percent chance of success [of making AI safe]". An AI executive speaking to CNBC, who asked to remain anonymous because their company may work for one of Musk's businesses, said that "A large proportion of the community think he's a negative distraction."


Global Big Data Conference

#artificialintelligence

Artificial General Intelligence (AGI) - a hypothetical machine capable of any and all of the intellectual tasks performed by humans - is considered by many to be a pipe dream. A long-standing feature of science fiction, AGI has achieved a cultural reputation of both reverence and fear, but above all an appreciation for the possibilities it presents. However, despite what the movies might suggest, there is still considerable debate around what constitutes general intelligence in humans, let alone machines. Before diving into AGI, it's worth establishing what has become the accepted meaning of'general intelligence'. The term'general intelligence' is an evolving term.


What is artificial general intelligence (general AI/AGI)?

#artificialintelligence

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. From ancient mythology to modern science fiction, humans have been dreaming of creating artificial intelligence for millennia. But the endeavor of synthesizing intelligence only began in earnest in the late 1950s, when a dozen scientists gathered in Dartmouth College, NH, for a two-month workshop to create machines that could "use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves." The workshop marked the official beginning of AI history. But as the two-month effort--and many others that followed--only proved that human intelligence is very complicated, and the complexity becomes more evident as you try to replicate it.


Will Artificial Intelligence Take Over Quality Assurance or other Technology Jobs

#artificialintelligence

It is without a doubt that Artificial intelligence is helping ordinary consumers in our everyday life, but the big question is what is the impact going to be on the jobs that were previously done by humans and especially of concern are the manufacturing and technology workers whose careers seem to be the most vulnerable. This article will focus mainly on Software quality assurance/ Testing jobs and broadly on other technology workers (Software developers, support professionals, customer support representatives, and even project managers). Before we understand the impact of artificial intelligence on Quality Assurance jobs, we need to know where we are in the AI journey. Regardless of how much hype there is around AI these days, AI is not a new concept. Ancient Greeks had myths about robots, while Chinese and Egyptians built automatons.


How Close We Are to Fully Self-Sufficient Artificial Intelligence 7wData

#artificialintelligence

If you followed the world of pop-culture or tech for some time now, then you know that advances in artificial intelligence are heating up. In reality, AI has been the talk of mainstream pop-culture and sci-fi since the first Terminator movie came out in 1984. These movies present an example of something called "Artificial General Intelligence." So how close are we to that? No, not how close are we to when the terminators take over, but how close are we to having an AI capable of navigating nearly any problem it's presented with.


Microsoft's Effort in Making AGI a Reality – Tech Check News

#artificialintelligence

Living in a world of continuous evolution, humans are looking forward to a future with a machine of utmost intelligence. Owing to the fact that Artificial Intelligence (AI) is growing at a fast pace, we seek out a fascinating era where technology will possess human-like intelligence in every aspect. This is what in theory considered Artificial General Intelligence (AGI).


An executive primer on artificial general intelligence

#artificialintelligence

To differentiate themselves from researchers solving narrow AI problems, a few research teams have claimed an almost proprietary interest in producing human-level intelligence (or more) under the name "artificial general intelligence." Some have adopted the term "super-intelligence" to describe AGI systems that by themselves could rapidly design even more capable systems, with those systems further evolving to develop capabilities that far exceed any possessed by humans.


How Close We Are to Fully Self-Sufficient Artificial Intelligence

#artificialintelligence

If you followed the world of pop-culture or tech for some time now, then you know that advances in artificial intelligence are heating up. In reality, AI has been the talk of mainstream pop-culture and sci-fi since the first Terminator movie came out in 1984. These movies present an example of something called "Artificial General Intelligence." So how close are we to that? No, not how close are we to when the terminators take over, but how close are we to having an AI capable of navigating nearly any problem it's presented with.


Superintelligent, Amoral, and Out of Control - Issue 84: Outbreak

Nautilus

In the summer of 1956, a small group of mathematicians and computer scientists gathered at Dartmouth College to embark on the grand project of designing intelligent machines. The ultimate goal, as they saw it, was to build machines rivaling human intelligence. As the decades passed and AI became an established field, it lowered its sights. There were great successes in logic, reasoning, and game-playing, but stubborn progress in areas like vision and fine motor-control. This led many AI researchers to abandon their earlier goals of fully general intelligence, and focus instead on solving specific problems with specialized methods.


How far are we from artificial general intelligence?

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Since the earliest days of artificial intelligence -- and computing more generally -- theorists have assumed that intelligent machines would think in much the same ways as humans. After all, we know of no greater cognitive power than the human brain. In many ways, it makes sense to try to replicate it if the goal is to create a high level of cognitive processing. However, there is a debate today over the best way of reaching true general AI. In particular, recent years' advancements in deep learning -- which is itself inspired by the human brain, though diverges from it in some important ways -- have shown developers that there may be other paths.