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"LeCun argues that even self-supervised learning and learnings from neurobiology won't be enough to achieve artificial general intelligence (AGI), or the hypothetical intelligence of a machine with the capacity to understand or learn from any task. That's because intelligence - even human intelligence - is very specialized, he says. "AGI does not exist - there is no such thing as general intelligence," said LeCun. "We can talk about rat-level intelligence, cat-level intelligence, dog-level intelligence, or human-level intelligence, but not artificial general intelligence.""

"Further, human intelligence is the lever that we have used for millennia to create the world we live in today: science, technology, math, physics, chemistry, medicine, energy, construction, transportation, communication, art, music, culture, philosophy, ethics, morality. Without the application of intelligence on all these domains, we would all still be living in mud huts, scratching out a meager existence of subsistence farming. Instead we have used our intelligence to raise our standard of living on the order of 10,000X over the last 4,000 years. What AI offers us is the opportunity to profoundly augment human intelligence to make all of these outcomes of intelligence - and many others, from the creation of new medicines to ways to solve climate change to technologies to reach the stars - much, much better from here."

""I am in the camp that is concerned about super intelligence," Gates wrote. "First, the machines will do a lot of jobs for us and not be super intelligent. That should be positive if we manage it well. A few decades after that though, the intelligence is strong enough to be a concern. I agree with Elon Musk and some others on this and don't understand why some people are not concerned.

"If humans want to continue to add value to the economy, they must augment their capabilities through a "merger of biological intelligence and machine intelligence". If we fail to do this, we'll risk becoming "house cats" to artificial intelligence."

GREAT ARTICLE ON AI "There is some debate about how soon AI will reach human-level general intelligence-the median year on a survey of hundreds of scientists about when they believed we'd be more likely than not to have reached AGI was 204012-that's only 25 years from now, which doesn't sound that huge until you consider that many of the thinkers in this field think it's likely that the progression from AGI to ASI happens very quickly. Like-this could happen: It takes decades for the first AI system to reach low-level general intelligence, but it finally happens. A computer is able understand the world around it as well as a human four-year-old. Suddenly, within an hour of hitting that milestone, the system pumps out the grand theory of physics that unifies general relativity and quantum mechanics, something no human has been able to definitively do. 90 minutes after that, the AI has become an ASI, 170,000 times more intelligent than a human."

"Writing about Artificial Intelligence is a challenge. By and large, there are two directions to take when discussing the subject: focus on the truly remarkable achievements of the technology or dwell on the dangers of what could happen if machines reach a level of Sentient AI, in which self-aware machines reach human level intelligence). "

"Upcoming cell phone chips from Qualcomm will use artificial intelligence to block malware before it infects your phone. The chip company said on Monday that the next-generation Snapdragon 820 processor used in a variety of Android smartphones will be the first chip that uses machine learning to detect threats and privacy issues thanks to an application called Snapdragon Smart Protect." Qualcomm is trying to use artificial intelligence in a chip for smart phones. The chip will learn to detect any privacy or security issues that would usually be hard to detect.

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"No arguments there, but the term, which stands for "artificial intelligence", has a more storied history than Spielberg and Kubrick's 2001 film. The concept of artificial intelligence goes back to the birth of computing: in 1950, just 14 years after defining the concept of a general-purpose computer, Alan Turing asked "Can machines think?""

AI and machine learning, combined with the science of turning data into insightful information (aka data science), have become more important than ever in the "new normal" to guide innovation based on new market trends and consumer preferences This article was published in thejakartapost.com with the title "How artificial intelligence helps firms stay relevant amid pandemic - Opinion - The Jakarta Post". Click to read: https://www.thejakartapost.com/academia/2020/09/21/how-artificial-intelligence-helps-firms-stay-relevant-amid-pandemic.html. Download The Jakarta Post app for easier and faster news access: Android: http://bit.ly/tjp-android iOS: http://bit.ly/tjp-ios

"This is the dystopian nightmare that Russell fears if his discipline continues on its current path and succeeds in creating super-intelligent machines. It's the scenario implicit in the philosopher Nick Bostrom's "paperclip apocalypse" thought-experiment and entertainingly simulated in the Universal Paperclips computer game. It is also, of course, heartily derided as implausible and alarmist by both the tech industry and AI researchers. One expert in the field famously joked that he worried about super-intelligent machines in the same way that he fretted about overpopulation on Mars."

""An emotionally intelligent human does not usually claim they can accurately put a label on everything everyone says and tell you this person is currently feeling 80% angry, 18% fearful, and 2% sad," says Edward B Kang, an assistant professor at New York University writing about the intersection of AI and sound. "In fact, that sounds to me like the opposite of what an emotionally intelligent person would say." Adding to this is the notorious problem of AI bias. "Your algorithms are only as good as the training material," Barrett says. "And if your training material is biased in some way, then you are enshrining that bias in code.""

"Microsoft showcased a line of new autonomous robots, called K5, as security guards for one of its campuses. And though the robots looked nothing like Arnold Schwarzenegger, the machine - developed by Knightscope - is impressive and intimidating. Standing 5 feet tall, weighing 300 pounds, and equipped with HD cameras, sensors, alarms, artificial intelligence, and WiFi, it's one incredible piece of technology."

"When it comes to the speed of these improvements, Yudkowsky says its important to not confuse the current speed of AI research with the speed of a real AI once built. Those are two very different things. What's more, there's no reason to believe that an AI won't show a sudden huge leap in intelligence, resulting in an ensuing "intelligence explosion" (a better term for the Singularity)."

"AI is already here. This isn't some future, theoretical technology we are working on. AI machines are already among us. Take for example Microsoft's recent security robot demonstration. Called the K5, these autonomous machines stand 5 feet tall, weigh 300 pounds, and are equipped with HD cameras, sensors, alarms, Wi-Fi and - you guessed it - artificial intelligence. These machines have been programmed to recognize if something is out of place, like an injured employee or a potential trespasser. And as technology improves, the K5 will become more capable of recognizing even smaller discrepancies than humans can."

"Can Artificial Intelligence (Chat GPT) get a 7 on an SL Maths paper?"

"UK's electronic eavesdropping and security agency, GCHQ, has been secretly gathering intelligence from the world's biggest internet companies through a covertly run operation set up by America's top spy agency, documents obtained by the Guardian reveal."

"To thwart such hackers, Elon Musk's OpenAI and Pennsylvania State University released a new tool this week called "cleverhans," that lets artificial intelligence researchers test how vulnerable their AI is to adversarial examples, or purposefully malicious data meant to confuse the algorithms. Once the vulnerability has been found, a defense to the attack can automatically be applied."

"The two titans leading the pack are Google and Microsoft. The first battle? A new domain in artificial intelligence called "Deep Learning.""

""When the intelligence services are gathering data about every one of us but failing to act on intelligence about individuals, they need to get back to basics, and look at the way they conduct targeted investigations. "The committee is particularly misleading when it implies that US companies do not co-operate, and it is quite extraordinary to demand that companies pro-actively monitor email content for suspicious material. Internet companies cannot and must not become an arm of the surveillance state."