Archive for the ‘Artificial Super Intelligence’ Category

Sam Altman is plowing ahead with nuclear fusion and his eye-scanning crypto ventureand, oh yeah, OpenAI – Fortune

OpenAI CEO Sam Altman helped bring ChatGPT to the world, which sparked the current A.I. race involving Microsoft, Google, and others.

But hes busy with other ventures that could be no less disruptiveand are linked in some ways. This week, Microsoft announced a purchasing agreement with Helion Energy, a nuclear fusion startup primarily backed by Altman. And Worldcoin, a crypto startup involving eye scans cofounded by Altman in 2019, is close to securing hefty new investments, according to Financial Times reporting on Sunday.

Before becoming OpenAIs leader, Altman served as president of the startup accelerator Y Combinator, so its not entirely surprising that hes involved in more than one venture. But the sheer ambition of the projects, both on their own and collectively, merits attention.

Microsoft announced a deal on Wednesday in which Helion will supply it with electricity from nuclear fusion by 2028. Thats bold considering nobody is yet producing electricity from fusion, and many experts believe its decades away.

During a Stripe conference interview last week, Altman said the audience should be excited about the startups developments and drew a connection between Helion and artificial intelligence.

If you really want to make the biggest, most capable super intelligent system you can, you need high amounts of energy, he explained. And if you have an A.I. that can help you move faster and do better material science, you can probably get to fusion a little bit faster too.

He acknowledged the challenging economics of nuclear fusion, but added, I think we will probably figure it out.

He added, And probably we will get to a world where in addition to the cost of intelligence falling dramatically, the cost of energy falls dramatically, too. And if both of those things happen at the same timeI would argue that they are currently the two most important inputs in the whole economywe get to a super different place.

Worldcoinstill in beta but aiming to launch in the first half of this yearis equally ambitious, as Fortune reported in March. If A.I. takes away our jobs and governments decide that a universal basic income is needed, Worldcoin wants to be the distribution mechanism for those payments. If all goes to plan, itll be bigger than Bitcoin and approved by regulators across the globe.

That might be a long way off if it ever occurs, but in the meantime the startup might have found quicker path to monetization with World ID, a kind of badge you receive after being verified by Worldcoinand a handy way to prove that youre a human rather than an A.I. bot when logging into online platforms. The idea is your World ID would join or replace your user names and passwords.

The only way to really prove a human is a human, the Worldcoin team decided, was via an iris scan. That led to a small orb-shaped device you look into that converts a biometric scanning code into proof of personhood.

When youre scanned, verified, and onboarded to Worldcoin, youre given 25 proprietary crypto tokens, also called Worldcoins. Well over a million people have already participated, though of course the company aims to have tens and then hundreds of millions joining after beta. Naturally such plans have raised a range of privacy concerns, but according to the FT, the firm is now in advanced talks to raise about $100 million.

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Sam Altman is plowing ahead with nuclear fusion and his eye-scanning crypto ventureand, oh yeah, OpenAI - Fortune

The Future of War Is AI – The Nation

EDITORS NOTE: This article originally appeared at TomDispatch.com. To stay on top of important articles like these, sign up to receive the latest updates from TomDispatch.com.

After almost 79 years on this beleaguered planet, let me say one thing: This cant end well. Really, it cant. And no, Im not talking about the most obvious issues ranging from the war in Ukraine to the climate disaster. What I have in mind is that latest, greatest human invention: artificial intelligence.

It doesnt seem that complicated to me. As a once-upon-a-time historian, Ive long thought about what, in these centuries, unartificial andall too oftenunartful intelligence has accomplished (and yes, Id prefer to put that in quotation marks). But the minute I try to imagine what that seemingly ultimate creation AI, already a living abbreviation of itself, might do, it makes me shiver. Brrr

Let me start with honesty, which isnt an artificial feeling at all. What I know about AI you could put in a trash bag and throw out with the garbage. Yes, Ive recently read whatever I could in the media about it and friends of mine have already fiddled with it. TomDispatch regular William Astore, for instance, got ChatGPT to write a perfectly passable critical essay on the military-industrial complex for his Bracing Views newsletterand that, I must admit, was kind of amazing.

Still, its not for me. Never me. I hate to say never because we humans truly dont know what well do in the future. Still, consider it my best guess that I wont have anything actively to do with AI. (Although my admittedly less than artificially intelligent spellcheck system promptly changed chatbox to hatbox when I was e-mailing Astore to ask him for the URL to that piece of his.)

But lets stop here a minute. Before we even get to AI, lets think a little about LTAI (Less Than Artificial Intelligence, just in case you dont know the acronym) on this planet. Who could deny that its had some remarkable successes? It created the Mona Lisa, The Starry Night, and Diego and I. Need I say more? Its figured out how to move us around this world in style and even into outer space. Its built vast cities and great monuments, while creating cuisines beyond compare. I could, of course, go on. Who couldnt? In certain ways, the creations of human intelligence should take anyones breath away. Sometimes, they even seem to give miracle a genuine meaning.

And yet, from the dawn of time, that same LTAI went in far grimmer directions, too. It invented weaponry of every kind, from the spear and the bow and arrow to artillery and jet fighter planes. It created the AR-15 semiautomatic rifle, now largely responsible (along with so many disturbed individual LTAIs) for our seemingly never-ending mass killings, a singular phenomenon in this peacetime country of ours.

And were talking, of course, about the same Less Than Artificial Intelligence that created the Holocaust, Joseph Stalins Russian gulag, segregation and lynch mobs in the United States., and so many other monstrosities of (in)human history. Above all, were talking about the LTAI that turned much of our history into a tale of war and slaughter beyond compare, something that, no matter how advanced we became, has neveras the brutal, deeply destructive conflict in Ukraine suggestsshown the slightest sign of cessation. Although I havent seen figures on the subject, I suspect that there has hardly been a moment in our history when, somewhere on this planet (and often that somewhere would have to be pluralized), we humans werent killing each other in significant numbers.

And keep in mind that in none of the above have I even mentioned the horrors of societies regularly divided between and organized around the staggeringly wealthy and the all too poor. But enough, right? You get the idea.

Oops, I left one thing out in judging the creatures that have now created AI. In the last century or two, the intelligence that did all of the above also managed to come up with two different ways of potentially destroying this planet and more or less everything living on it. The first of them it created largely unknowingly. After all, the massive, never-ending burning of fossil fuels that began with the 19th-century industrialization of much of the planet was what led to an increasingly climate-changed Earth. Though weve now known what we were doing for decades (the scientists of one of the giant fossil-fuel companies first grasped what was happening in the 1970s), that hasnt stopped us. Not by a long shot. Not yet anyway.

Over the decades to come, if not taken in hand, the climate emergency could devastate this planet that houses humanity and so many other creatures. Its a potentially world-ending phenomenon (at least for a habitable planet as weve known it). And yet, at this very moment, the two greatest greenhouse gas emitters, the United States and China (that country now being in the lead, but the US remaining historically number one), have proven incapable of developing a cooperative relationship to save us from an all-too-literal hell on Earth. Instead, theyve continued to arm themselves to the teeth and face off in a threatening fashion while their leaders are now not exchanging a word, no less consulting on the overheating of the planet.

The second path to hell created by humanity was, of course, nuclear weaponry, used only twice to devastating effect in August 1945 on the Japanese cities of Hiroshima and Nagasaki. Still, even relatively small numbers of weapons from the vast nuclear arsenals now housed on Planet Earth would be capable of creating a nuclear winter that could potentially wipe out much of humanity.

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And mind you, knowing that, LTAI beings continue to create ever larger stockpiles of just such weaponry as ever more countries the latest being North Korea come to possess them. Under the circumstances and given the threat that the Ukraine War could go nuclear, its hard not to think that it might just be a matter of time. In the decades to come, the government of my own country is, not atypically, planning to put another $2 trillion into ever more advanced forms of such weaponry and ways of delivering them.

Given such a history, youd be forgiven for imagining that it might be a glorious thing for artificial intelligence to begin taking over from the intelligence responsible for so many dangers, some of them of the ultimate variety. And I have no doubt that, like its ancestor (us), AI will indeed prove anything but one-sided. It will undoubtedly produce wonders in forms that may as yet be unimaginable.

Still, lets not forget that AI was created by those of us with LTAI. If now left to its own devices (with, of course, a helping hand from the powers that be), it seems reasonable to assume that it will, in some way, essentially repeat the human experience. In fact, consider that a guarantee of sorts. That means it will create beauty and wonder andyes!horror beyond compare (and perhaps even more efficiently so). Lest you doubt that, just consider which part of humanity already seems the most intent on pushing artificial intelligence to its limits.

Yes, across the planet, departments of defense are pouring money into AI research and development, especially the creation of unmanned autonomous vehicles (think: killer robots) and weapons systems of various kinds, as Michael Klare pointed out recently at TomDispatch when it comes to the Pentagon. In fact, it shouldnt shock you to know that five years ago (yes, five whole years!), the Pentagon was significantly ahead of the game in creating a Joint Artificial Intelligence Center to, as The New York Times put it, explore the use of artificial intelligence in combat. There, it might, in the endand end is certainly an operative word herespeed up battlefield action in such a way that we could truly be entering unknown territory. We could, in fact, be entering a realm in which human intelligence in wartime decision-making becomes, at best, a sideline activity.

Only recently, AI creators, tech leaders, and key potential users, more than 1,000 of them, including Apple co-founder Steve Wozniak and billionaire Elon Musk, had grown anxious enough about what such a thingsuch a brain, you might saylet loose on this planet might do that they called for a six-month moratorium on its development. They feared profound risks to society and humanity from AI and wondered whether we should even be developing nonhuman minds that might eventually outnumber, outsmart, obsolete, and replace us.

The Pentagon, however, instantly responded to that call this way, as David Sanger reported in The New York Times: Pentagon officials, speaking at technology forums, said they thought the idea of a six-month pause in developing the next generations of ChatGPT and similar software was a bad idea: The Chinese wont wait, and neither will the Russians. So, full-speed ahead and skip any international attempts to slow down or control the development of the most devastating aspects of AI!

And I havent even bothered to mention how, in a world already seemingly filled to the brim with mis- and disinformation and wild conspiracy theories, AI is likely to be used to create yet more of the same of every imaginable sort, a staggering variety of hallucinations, not to speak of churning out everything from remarkable new versions of art to student test papers. I mean, do I really need to mention anything more than those recent all-too-realistic-looking photos of Donald Trump being aggressively arrested by the NYPD and Pope Francis sporting a luxurious Balenciaga puffy coat circulating widely online?

I doubt it. After all, image-based AI technology, including striking fake art, is on the rise in a significant fashion and, soon enough, you may not be able to detect whether the images you see are real or fake. The only way youll know, as Meghan Bartels reports in Scientific American, could be thanks to AI systems trained to detectyes!artificial images. In the process, of course, all of us will, in some fashion, be left out of the picture.

And of course, thats almost the good news when, with our present all-too-Trumpian world in mind, you begin to think about how Artificial Intelligence might make political and social fools of us all. Given that Im anything but one of the better-informed people when it comes to AI (though on Less Than Artificial Intelligence I would claim to know a fair amount more), Im relieved not to be alone in my fears.

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In fact, among those who have spoken out fearfully on the subject is the man known as the godfather of AI, Geoffrey Hinton, a pioneer in the field of artificial intelligence. He only recently quit his job at Google to express his fears about where we might indeed be heading, artificially speaking. As he told The New York Times recently, The idea that this stuff could actually get smarter than peoplea few people believed that, but most people thought it was way off. And I thought it was way off. I thought it was 30 to 50 years or even longer away. Obviously, I no longer think that.

Now, he fears not just the coming of killer robots beyond human control but, as he told Geoff Bennett of the PBS NewsHour, the risk of super intelligent AI taking over control from people. I think its an area in which we can actually have international collaboration, because the machines taking over is a threat for everybody. Its a threat for the Chinese and for the Americans and for the Europeans, just like a global nuclear war was.

And that, indeed, is a hopeful thought, just not one that fits our present world of hot war in Europe, cold war in the Pacific, and division globally.

I, of course, have no way of knowing whether Less Than Artificial Intelligence of the sort Ive lived with all my life will indeed be sunk by the AI carrier fleet or whether, for that matter, humanity will leave AI in the dust by, in some fashion, devastating this planet all on our own. But I must admit that AI, whatever its positives, looks like anything but what the world needs right now to save us from a hell on earth. I hope for the best and fear the worst as I prepare to make my way into a future that I have no doubt is beyond my imagining.

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The Future of War Is AI - The Nation

NFL fans outraged after ChatGPT names best football teams since 2000 including a surprise at No 1… – The US Sun

ARTIFICIAL intelligence has infuriated fans across the nation with its top ten best teams since 2000 ranking.

The controversial list has unsurprisingly angered fans on social media, being labeled "the dumbest take on football I've ever seen."

Leading the way in the list created by ChatGPT for NFL on FOX are the 2007 New England Patriots.

A powerhouse team featuring the likes of Tom Brady, Randy Moss, Asante Samuel, Wes Welker, and Vince Wilfork among others, Bill Belichick's team went undefeated until the bitter end.

Eli Manning's New York Giants ultimately got the better of them in Super Bowl XLII, preventing what would have been only the second perfect season in league history.

The Patriots are followed by the 2013 Seattle Seahawks who were left by then-second-year starting quarterback, Russell Wilson.

Pete Carroll's 13-3 Seahawks team went on to hoist the Lombardi Trophy after the joint-third biggest Super Bowl blowout to date (43-8 over Peyton Manning's Denver Broncos).

Sean Peyton's 2009 New Orleans Saints team rounded out the top three.

Led by Drew Brees in his prime, he too beat a Peyton Manning-led team at the Super Bowl as they beat the Indianapolis Colts 31-17.

New England returned in fourth thanks to their 14-2 2016 team, which led Brady to his fifth ring during one of the most infamous comebacks in league history against the Atlanta Falcons at Super Bowl LI.

Ray Lewis and Rod Woodson's legendary 2000 Baltimore Ravens complete the top five, having guided the franchise to a Super Bowl win in just its fifth season since moving from Cleveland.

The second half of the ranking starts with the second non-Super Bowl-winning team, the 2004 Philadelphia Eagles.

They are followed by another team to fall short at the final hurdle despite having a prime Cam Newton leading the way, the 2015 Carolina Panthers.

Loaded with talent, the 2002 Tampa Bay Buccaneers made the list at eight thanks to their 12-4 record and a Super Bowl XXXVII ring.

The 11-5 Pittsburgh Steelers of 2005, featuring the likes of Ben Roethlisberger and Hines Ward follow, with the Patrick Mahomes-led 2019 Kansas City Chiefs closing out the top ten.

In response to the list, one unimpressed fan tweeted: "Woof. Terrible list. The 05 Steelers won in the most unimpressive season of football in recent memory.

"Them and the Seahawks played a dumpster fire Super Bowl. They won even though Roethlisbergers SB stats were:

"9-21, 123 yards, 2 interceptions."

Another said: "Nope. Where are the Peyton Manning led Broncos or Colts? Green Bay has been a perennial playoff/NFC Championship contender for near 20 years.

"Also no Ny Giants that was led by Eli Manning to the Super Bowl 3 different times and winning twice against Brady's Patriots."

As one added: "Cant accept the top team lost the Super Bowl."

While another simply said: "Absolutely not"

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NFL fans outraged after ChatGPT names best football teams since 2000 including a surprise at No 1... - The US Sun

We need to prepare for the public safety hazards posed by artificial intelligence – The Conversation

For the most part, the focus of contemporary emergency management has been on natural, technological and human-made hazards such as flooding, earthquakes, tornadoes, industrial accidents, extreme weather events and cyber attacks.

However, with the increase in the availability and capabilities of artificial intelligence, we may soon see emerging public safety hazards related to these technologies that we will need to mitigate and prepare for.

Over the past 20 years, my colleagues and I along with many other researchers have been leveraging AI to develop models and applications that can identify, assess, predict, monitor and detect hazards to inform emergency response operations and decision-making.

We are now reaching a turning point where AI is becoming a potential source of risk at a scale that should be incorporated into risk and emergency management phases mitigation or prevention, preparedness, response and recovery.

AI hazards can be classified into two types: intentional and unintentional. Unintentional hazards are those caused by human errors or technological failures.

As the use of AI increases, there will be more adverse events caused by human error in AI models or technological failures in AI based technologies. These events can occur in all kinds of industries including transportation (like drones, trains or self-driving cars), electricity, oil and gas, finance and banking, agriculture, health and mining.

Intentional AI hazards are potential threats that are caused by using AI to harm people and properties. AI can also be used to gain unlawful benefits by compromising security and safety systems.

In my view, this simple intentional and unintentional classification may not be sufficient in case of AI. Here, we need to add a new class of emerging threats the possibility of AI overtaking human control and decision-making. This may be triggered intentionally or unintentionally.

Many AI experts have already warned against such potential threats. A recent open letter by researchers, scientists and others involved in the development of AI called for a moratorium on its further development.

Public safety and emergency management experts use risk matrices to assess and compare risks. Using this method, hazards are qualitatively or quantitatively assessed based on their frequency and consequence, and their impacts are classified as low, medium or high.

Hazards that have low frequency and low consequence or impact are considered low risk and no additional actions are required to manage them. Hazards that have medium consequence and medium frequency are considered medium risk. These risks need to be closely monitored.

Hazards with high frequency or high consequence or high in both consequence and frequency are classified as high risks. These risks need to be reduced by taking additional risk reduction and mitigation measures. Failure to take immediate and proper action may result in sever human and property losses.

Up until now, AI hazards and risks have not been added into the risk assessment matrices much beyond organizational use of AI applications. The time has come when we should quickly start bringing the potential AI risks into local, national and global risk and emergency management.

AI technologies are becoming more widely used by institutions, organizations and companies in different sectors, and hazards associated with the AI are starting to emerge.

In 2018, the accounting firm KPMG developed an AI Risk and Controls Matrix. It highlights the risks of using AI by businesses and urges them to recognize these new emerging risks. The report warned that AI technology is advancing very quickly and that risk control measures must be in place before they overwhelm the systems.

Governments have also started developing some risk assessment guidelines for the use of AI-based technologies and solutions. However, these guidelines are limited to risks such as algorithmic bias and violation of individual rights.

At the government level, the Canadian government issued the Directive on Automated Decision-Making to ensure that federal institutions minimize the risks associated with the AI systems and create appropriate governance mechanisms.

The main objective of the directive is to ensure that when AI systems are deployed, risks to clients, federal institutions and Canadian society are reduced. According to this directive, risk assessments must be conducted by each department to make sure that appropriate safeguards are in place in accordance with the Policy on Government Security.

In 2021, the U.S. Congress tasked the National Institute of Standards and Technology with developing an AI risk management framework for the Department of Defense. The proposed voluntary AI risk assessment framework recommends banning the use of AI systems that present unacceptable risks.

Much of the national level policy focus on AI has been from national security and global competition perspectives the national security and economic risks of falling behind in the AI technology.

The U.S. National Security Commission on Artificial Intelligence highlighted national security risks associated with AI. These were not from the public threats of the technology itself, but from losing out in the global competition for AI development in other countries, including China.

In its 2017 Global Risk Report, the World Economic Forum highlighted that AI is only one of emerging technologies that can exacerbate global risk. While assessing the risks posed by the AI, the report concluded that, at that time, super-intelligent AI systems remain a theoretical threat.

However, the latest Global Risk Report 2023 does not even mention the AI and AI associated risks which means that the leaders of the global companies that provide inputs to the global risk report had not viewed the AI as an immediate risk.

AI development is progressing much faster than government and corporate policies in understanding, foreseeing and managing the risks. The current global conditions, combined with market competition for AI technologies, make it difficult to think of an opportunity for governments to pause and develop risk governance mechanisms.

While we should collectively and proactively try for such governance mechanisms, we all need to brace for major catastrophic AIs impacts on our systems and societies.

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We need to prepare for the public safety hazards posed by artificial intelligence - The Conversation

What are the four main types of artificial intelligence? Find out how future AI programs can change the world – Fox News

Over the last few years, the rapid development of artificial intelligence has taken the world by storm as many experts believe machine learning technology will fundamentally alter the way of life for all humans.

The general idea of artificial intelligence is that it represents the ability to mimic human consciousness and therefore can complete tasks that only humans can do. Artificial intelligence has various uses, such as making the most optimal decisions in a chess match, driving a family of four across the United States, or writing a 3,000 world essay for a college student.

Read below to understand the concepts and abilities of the four categories of artificial intelligence.

ARTIFICIAL INTELLIGENCE FAQ

The most basic form of artificial intelligence is reactive machines, which react to an input with a simplistic output programmed into the machine. In this form of AI, the program does not actually learn a new concept or have the ability to make predictions based on a dataset. During this first stage of AI, reactive machines do not store inputs and, therefore, cannot use past decisions to inform current ones.

The simplest type of artificial intelligence is seen in reactive machines, which were used in the late 1990s to defeat the world's best chess players. (REUTERS/Dado Ruvic/Illustration)

Reactive machines best exemplify the earliest form of artificial intelligence. Reactive machines were capable of beating the world's best chess players in the late 1990s by making the most optimal decisions based on their opponent's moves. The world was shocked when IBM's chess player, Deep Blue, defeated chess grandmaster Guy Kasparov during their rematch in 1997.

Reactive machines have the ability to generate thousands of different possibilities in the present based on input; however, the AI ignores all other forms of data in the present moment, and no actual learning occurs. Regardless, this programming led the way to machine-learning computing and introduced the unique power of artificial intelligence to the public for the first time.

Limited memory further expanded the complexity and abilities of machine learning computing. This form of artificial intelligence understands the concept of storing previous data and using it to make accurate predictions for the future. Through a series of trial and error efforts, limited memory allows the program to perfect tasks typically completed by humans, such as driving a car.

AI COULD GO 'TERMINATOR,' GAIN UPPER HAND OVER HUMANS IN DARWINIAN RULES OF EVOLUTION, REPORT WARNS

Limited memory AI is trained by scientists to memorize a data set before an environment is built in which it has the ability to correct mistakes and have approved behaviors reinforced. The AI then perfects its ability to complete the task during the training phase by receiving feedback from either human or environmental stimuli. That feedback is then reviewed and used to make better decisions in the future.

Elon Musk is the founder and CEO of Tesla, a leading self-driving vehicles company. (AP Photo/Susan Walsh, File)

A perfect example of limited memory artificial intelligence is self-driving cars. The model examines the speed and direction of other cars in the present moment to make the best decisions on the road. The training phase of self-driving cars also considers traffic lights, road structures, lane markings, and how human drivers act on the road. Companies like Tesla are leading the way in producing and wide-scale marketing of AI-controlled self-driving vehicles.

Theory of mind AI systems are still being researched and developed by computer scientists and may represent the future of machine learning. The general concept of the theory of mind is that an AI system will be able to react in real time to the emotions and mental characteristics of the human entity it encounters. Scientists hope that AI can complete these tasks by understanding the emotions, beliefs, thinking, and needs of individual humans.

This future AI system will need to have the ability to look past the data and understand that humans often make decisions not based on purely sound logic or fact but rather based on the mental state of their mind and overall emotions. Therefore, machine learning will need to adjust their decisions and behavior according to the mental state of humans.

GOOGLE SCRAMBLES FOR NEW SEARCH ENGINE AS AI CREEPS IN: REPORT

The development of self-aware artificial intelligence is not possible with today's technology but would represent a massive achievement for machine learning science. (Cyberguy.com)

While this is not possible at the moment, if the theory of the mind ever becomes a reality, it would be one of the greatest developments in artificial intelligence computing in decades.

The final stage of the development of artificial intelligence is when the machine has the ability to become self-aware and form its own identity. This form of AI is not at all possible today but has been used in science fiction media for decades to scare and intrigue the public. In order for self-aware AI to become possible, scientists will need to find a way to replicate consciousness into a machine.

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The ability to map human consciousness is a goal far beyond simply plugging inputs into an AI program or using a dataset to predict future outcomes. It represents the pinnacle of machine learning technology and may fundamentally shift how humans interact with themselves and the world.

Artificial narrow intelligence, or ANI, is the simplest form of AI, but also one of the most common types of machine learning in the daily lives of individuals across the world. Narrow intelligence machines are based on a learning algorithm that is designed to complete one singular task successfully and will not store information to complete different tasks. Tasks where narrow intelligence generally succeeds include language translation and image recognition. Products such as Apple's Siri and Amazon's Alex are examples of ANI.

Artificial general intelligence, or AGI, describes a form of machine learning that simulates human cognitive systems by completing different takes. This form of AI is able to store information while completing and use that data to perfect its performance in future tasks. However, AGI is only a hypothetical form of AI and has not yet been invented. The ultimate goal of AGI would be to surpass human capabilities in completing complex tasks.

Artificial super intelligence is another example of AI that has not yet been invented but is rather a concept that describes the most advanced form of machine learning. ASI is a concept that envisions a future in which computer programs will be able to simulate human thought and evolve beyond human cognitive abilities. This stage of AI is considered science fiction, but could be possible decades from now, depending on how advance AI becomes.

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What are the four main types of artificial intelligence? Find out how future AI programs can change the world - Fox News