Ai Take Over Quotes

AI-powered passive monitoring is taking off and has huge advantages over the traditional way of monitoring patients. The advantage of passive monitoring, as opposed to data collected from wearables, is that it doesn’t require patients or seniors to actively wear a device at all times. Used in a hospital setting, the tech reduces healthcare workers’ risk of exposure to COVID-19 by limiting their contact with patients and automating data collection for vital signs. Also, camera-based monitoring is unpopular for the simple reason that a lot of people don’t like being watched by a camera.

People worry that computers will get too smart and take over the world, but the real problem is that they're too stupid and they've already taken over the world.

As AI takes over prediction, humans will do less of the combined prediction-judgment routine of decision making and focus more on the judgment role alone.

Having better prediction raises the value of judgment. After all, it doesn’t help to know the likelihood of rain if you don’t know how much you like staying dry or how much you hate carrying an umbrella. Prediction machines don’t provide judgment. Only humans do, because only humans can express the relative rewards from taking different actions. As AI takes over prediction, humans will do less of the combined prediction-judgment routine of decision making and focus more on the judgment role alone.

AI is taking over areas that we previously thought were too important to entrust to machines.

as the AI researcher Pedro Domingos so memorably put it, “People worry that computers will get too smart and take over the world, but the real problem is that they’re too stupid and they’ve already taken over the world.”21

But on the question of whether the robots will eventually take over, he {Rodney A. Brooks} says that this will probably not happen, for a variety of reasons. First, no one is going to accidentally build a robot that wants to rule the world. He says that creating a robot that can suddenly take over is like someone accidentally building a 747 jetliner. Plus, there will be plenty of time to stop this from happening. Before someone builds a "super-bad robot," someone has to build a "mildly bad robot," and before that a "not-so-bad robot.

Habits are undeniably useful tools, relieving us of the need to run a complex mental operation every time we’re confronted with a new task or situation. Yet they also relieve us of the need to stay awake to the world: to attend, feel, think, and then act in a deliberate manner. (That is, from freedom rather than compulsion.) If you need to be reminded how completely mental habit blinds us to experience, just take a trip to an unfamiliar country. Suddenly you wake up! And the algorithms of everyday life all but start over, as if from scratch. This is why the various travel metaphors for the psychedelic experience are so apt. The efficiencies of the adult mind, useful as they are, blind us to the present moment. We’re constantly jumping ahead to the next thing. We approach experience much as an artificial intelligence (AI) program does, with our brains continually translating the data of the present into the terms of the past, reaching back in time for the relevant experience, and then using that to make its best guess as to how to predict and navigate the future. One of the things that commends travel, art, nature, work, and certain drugs to us is the way these experiences, at their best, block every mental path forward and back, immersing us in the flow of a present that is literally wonderful—wonder being the by-product of precisely the kind of unencumbered first sight, or virginal noticing, to which the adult brain has closed itself. (It’s so inefficient!) Alas, most of the time I inhabit a near-future tense, my psychic thermostat set to a low simmer of anticipation and, too often, worry. The good thing is I’m seldom surprised. The bad thing is I’m seldom surprised.

Hemingway never said any of this. It's all AI-generated bullshit. The hardest lesson I’ve had to learn as an adult is the relentless need to keep going, no matter how shattered I feel inside." This truth is both raw and universal. Life doesn’t pause when our hearts are heavy, our minds are fractured, or our spirits feel like they’re unraveling. It keeps moving—unrelenting, unapologetic—demanding that we move with it. There’s no time to stop, no pause for repair, no moment of stillness where we can gently piece ourselves back together. The world doesn’t wait, even when we need it to. What makes this even harder is that no one really prepares us for it. As children, we grow up on a steady diet of stories filled with happy endings, tales of redemption and triumph where everything always falls into place. But adulthood strips away those comforting narratives. Instead, it reveals a harsh truth: survival isn’t glamorous or inspiring most of the time. It’s wearing a mask of strength when you’re falling apart inside. It’s showing up when all you want is to retreat. It’s choosing to move forward, step by painful step, when your heart begs for rest. And yet, we endure. That’s the miracle of being human—we endure. Somewhere in the depths of our pain, we find reserves of strength we didn’t know we possessed. We learn to hold space for ourselves, to be the comfort we crave, to whisper words of hope when no one else does. Over time, we realize that resilience isn’t loud or grandiose; it’s a quiet defiance, a refusal to let life’s weight crush us entirely. Yes, it’s messy. Yes, it’s exhausting. And yes, there are days when it feels almost impossible to take another step. But even then, we move forward. Each tiny step is proof of our resilience, a reminder that even in our darkest moments, we’re still fighting, still refusing to give up. That fight—that courage—is the quiet miracle of survival.

One reason she had been as successful an assassin had always been her attention to detail, but the weeks of using the cream to maintain her disguise as the hapless dock technician, were taking their toll. Details slipped her mind occasionally, and concentrating was sometimes hard. She’d used the time she had available to study her target, learn his mannerisms and speech pattern, food and clothing preferences. Most of this possible with the right programs and access to the dock AI system. Those hours ‘at work’ in the Fabrication Unit had been well spent, and supplemented by frequenting places where she could observe him. The lack of her usual team of ‘daemons’ had created a number of difficulties, and though she wondered how Security had managed to take them down so quickly, she didn’t waste time worrying over it. Now she knew who he associated with, and his sexuality—all of it vital if she was to escape detection in such a high profile role.

If AI and 3-D printers indeed take over from the Bangladeshis and Bangalorians, the revenues that previously flowed to South Asia will now fill the coffers of a few tech giants in California. Instead of economic growth improving conditions all over the world, we might see immense new wealth created in high-tech hubs such as Silicon Valley, while many developing countries collapse.

If the economy is an information-processing system, does that mean that every corporation is an artificial intelligence? If people are worried about out-of-control AI taking over the world and destroying everything, shouldn’t we have been trying to do something about them at least seventy years ago – and probably more like two hundred?

Aisling tumbled out, his gold eyes going wild about the room to take in all of them. His beak clicked as he worked it in silence. Then, as the breaking of ice may bring a cascade of water from winter’s falls, the griffin’s voice—no longer that small shrill copy of Taryn’s, but his own true voice—poured plaintively from him. “Mom!” Taryn jerked around, her mouth dropping open. Aisling bounded toward her and she swept him up into a tight embrace. He clutched at her shoulders with his talons, burying his head under her chin, and cried, “Mom! Yoo…rrrrr…oh…kay!” “Great gods,” Antilles heard himself say and he shot Tonka a startled glance. “He cannot be speaking?!” The horseman merely smiled. “And why not?” he murmured, resettling himself on his padded bolster. “For has he not been a miracle from the very first?” “You’re talking,” Taryn cried, true delight painting itself over the grief that had seemed to mask her since the dawning of this terrible day. She was radiant once more, burning with a joy and a healing light all its own as she hugged her griffin close. “Oh, my fierce prince! My big boy!” “Yoo…rrrr…Ai-sing,” whispered the griffin. His raptor’s eyes flicked to Antilles and his naked wings fluttered. “Tilly. Yoo…rrrr…sun-shy?” Taryn giggled, her face pressed to fur. “Aye, lad,” Antilles said, tossing his broken horn. “My sun and my moon and all my starry skies.

FrICE shows how the post transition world can be glorious; a world where machines serve and take care of human material needs; a world where humans are relieved of mundane repetitive tasks; a world where we are able to utilize the collective brain power of over 7 billion heads, relieved from mundane tasks, to discover and create new and amazing things

He laughed and spread out his hands as though he could gather the atoms that floated as particles of dust upon the air. 'God!' he said. 'Believe in God? Why, I tell you that all of this belongs to me and ai can give it to you.' [...] He stood over her, blocking the light from the window. He would not take his eyes from her face; he was terrible he was changed, like someone who talks in his sleep. 'ayes, all of this is mine,' he repeated. 'I shall give it to you. Anything you want. It will belong to me.

Even preprogramming the system with seemingly benign goals might backfire horribly. One popular scenario imagines a corporation designing the first artificial super-intelligence and giving it an innocent test such as calculating pi. Before anyone realises what is happening, the AI takes over the planet, eliminates the human race, launches a campaign of conquest to the ends of the galaxy, and transforms the entire known universe into a giant super-computer that for billions upon billions of years calculates pi ever more accurately. After all, this is the divine mission its Creator gave it.

We may now be at an inflection point, a moment when we have to decide how to shape surveillance technology, artificial intelligence, the Internet of Things, voice-or face-recognition systems, and other emerging technologies so that their inventors and their users remain accountable to democratic laws, as well as to principles of human rights and standards of transparency. We have already failed to regulate social media, with negative consequences for politics around the world. Failure to regulate AI before it distorts political conversations, just to take one obvious example, could have a catastrophic impact over time.

But with Moore’s law spewing out new generations of computers every eighteen months, sooner or later the old pessimism of the past generation will be gradually forgotten and a new generation of bright enthusiasts will take over, creating renewed optimism and energy in the once-dormant field. Thirty years after the last AI winter set in, computers have advanced enough so that the new generation of AI researchers are again making hopeful predictions about the future. The time has finally come for AI, say its supporters. This time, it’s for real. The third try is the lucky charm. But if they are right, are humans soon to be obsolete?

Despite being a nonprofit, we have been able to build a team that rivals those of the most resource-rich tech companies. Hundreds of incredibly talented people have committed a major part of their careers to be part of the Khan Academy team, often taking considerable pay cuts to do so. Thousands of volunteers all over the world have now translated Khan Academy into over fifty languages. Inspirational leaders like Bill Gates, Reed Hastings, and Elon Musk have become some of our biggest supporters and advocates. This journey seems so serendipitous that it has become something of an inside joke among the Khan Academy team that perhaps benevolent aliens are helping us so that, through education, we can prepare humanity for first contact.

I AM A MACHINE” When I interviewed Dr. Rodney Brooks, former director of the MIT Artificial Intelligence Lab and cofounder of iRobot, I asked him if he thought machines would one day take over. He told me that we just have to accept that we are machines ourselves. This means that one day, we will be able to build machines that are just as alive as we are. But, he cautioned, we will have to give up the concept of our “specialness.” This evolution in human perspective started with Nicolaus Copernicus when he realized that the Earth was not the center of the universe, but rather goes around the sun. It continued with Darwin, who showed that we were similar to the animals in our evolution. And it will continue into the future, he told me, when we realize that we are machines, except that we are made of wetware and not hardware. It’s going to represent a major change in our world outlook to accept that we, too, are machines, he believes. He writes, “We don’t like to give up our specialness, so you know, having the idea that robots could really have emotions, or that robots could be living creatures—I think is going to be hard for us to accept. But we’re going to come to accept it over the next fifty years.” But on the question of whether the robots will eventually take over, he says that this will probably not happen, for a variety of reasons. First, no one is going to accidentally build a robot that wants to rule the world. He says that creating a robot that can suddenly take over is like someone accidentally building a 747 jetliner. Plus, there will be plenty of time to stop this from happening. Before someone builds a “super-bad robot,” someone has to build a “mildly bad robot,” and before that a “not-so-bad robot.” His philosophy is summed up when he says, “The robots are coming, but we don’t have too much to worry about. It’s going to be a lot of fun.” To him, the robot revolution is a certainty, and he foresees the day when robots will surpass human intelligence. The only question is when. But there is nothing to fear, since we will have created them. We have the choice to create them to help, and not hinder, us. MERGE WITH THEM? If you ask Dr. Brooks how we can coexist with these super-smart robots, his reply is straightforward: we will merge with them. With advances in robotics and neuroprosthetics, it becomes possible to incorporate AI into our own bodies.

In the earliest strand of the conquest narratives, Joshua's violence was associated with an ancient Canaanite custom called the "ban" (herem). Before a battle, a military leader would strike a deal with his god: if this deity undertook to give him the city, the commander promised to "devote" (HRM) all valuable loot to his temple and offer the conquered people to him in a human sacrifice. Joshua had made such a pact with Yahweh before attacking Jericho, and Yahweh responded by delivering the town to Israel in a specular miracle, causing its famous walls to collapse when the priests blew their rams' horns. Before allowing his troops to storm the city, Joshua explained the terms of the ban and stipulated that no one in the city should be spared, since everybody and everything in the town had been "devoted" to Yahweh. Accordingly, the Israelites "enforced the ban on everything in the town, men, and women, young and old, even the oxen and sheep and donkeys, massacring them all." But the ban had been violated when one of the soldiers kept booty for himself, and consequently the Israelites failed to take the town of Ai the following day. After the culprit had been found and executed, the Israelites attached Ai again, this time successfully, setting fire to the city so that it became a sacrificial pyre and slaughtering anybody who tried to escape: "The number of those who fell that day, men and women together, were twelve thousand all (the) people of Ai." Finally Joshua hanged the king from a tree, built a monumental cairn over his body, and reduced the city to "a ruin for ever more, a desolate place, even today.

All these indifferent passions, or passions born of indifference, all these negative passions, culminate in hatred. A strange expression: `I've got the hate' [J'ai la haine]. No object. It is like `I'm demonstrating', but for whom, for what? `I take responsibility' [J'assume], but for what? Nothing in particular. One perhaps takes responsibility precisely for the nothing. One demonstrates for or against the nothing -- how are we to know? This is the fate of all these intransitive verbs. The graffiti said: `I exist', `I live at this particular place'. This was stated with a kind of exultation, yet at the same time it said: `There is no meaning to my life'. Similarly, `I've got the hate' says at the same time: `This hate I have has no object'; `There's no meaning to it'. Hatred is doubtless something which does indeed outlive any definable object, and feeds on the disappearance of that object. Who are we to take against today? There, precisely, is the object: the absent other of hatred. `Having' hatred is like a sort of potential of -- negative and reactive -- energy, but energy all the same. These are, indeed, the only passions we have today: hatred, disgust, allergy, aversion, rejection and disaffection. We no longer know what we want, but we know what we don't want. In its pure expression of rejection, it is a non-negotiable, irremediable passion. Yet there is in it something like an invitation to the absent other to offer himself as an object for that hatred. The dream of hatred is to give rise to a heartfelt enmity, which is scarcely available at all in our world now, as all conflicts are immediately contained. Over against the hatred born of rivalry and conflict there is a hatred born of accumulated indifference which can suddenly crystallize in an extreme physical outburst. We are not speaking of class hatred now, which, paradoxically, remained a bourgeois passion. That had a target, and was the driving force behind historical action. This hatred is externalized only in episodes of `acting-out'. It does not give rise to historical violence, but to a virulence born of disaffection with politics and history. In this sense, it is the characteristic passion not of the end of history but of a history without end, a history which is a dead-end, since there has been no resolution of all the problems it posed. It is possible that beyond the end, in those reaches where things turn around, there is room for an indeterminate passion, where what remains of energy also turns around, like time, into a negative passion.

Once superintelligent AI has settled another solar system or galaxy, bringing humans there is easy — if humans have succeeded in programming the AI with this goal. All the necessary information about humans can be transmitted at the speed of light, after which the AI can assemble quarks and electrons into the desired humans. This could be done either in a low-tech way by simply transmitting the 2 gigabytes of information needed to specify a person’s DNA and then incubating a baby to be raised by the AI, or the AI could assemble quarks and electrons into full-grown people who would have all the memories scanned from their originals back on Earth. This means that if there’s an intelligence explosion, the key question isn’t if intergalactic settlement is possible, but simply how fast it can proceed. Since all the ideas we've explored above come from humans, they should be viewed as merely lower limits on how fast life can expand; ambitious superintelligent life can probably do a lot better, and it will have a strong incentive to push the limits, since in the race against time and dark energy, every 1% increase in average settlement speed translates into 3% more galaxies colonized. For example, if it takes 20 years to travel 10 light-years to the next star system with a laser-sail system, and then another 10 years to settle it and build new lasers and seed probes there, the settled region will be a sphere growing in all directions at a third of the speed of light on average. In a beautiful and thorough analysis of cosmically expanding civilizations in 2014, the American physicist Jay Olson considered a high-tech alternative to the island-hopping approach, involving two separate types of probes: seed probes and expanders. The seed probes would slow down, land and seed their destination with life. The expanders, on the other hand, would never stop: they'd scoop up matter in flight, perhaps using some improved variant of the ramjet technology, and use this matter both as fuel and as raw material out of which they'd build expanders and copies of themselves. This self-reproducing fleet of expanders would keep gently accelerating to always maintain a constant speed (say half the speed of light) relative to nearby galaxies, and reproduce often enough that the fleet formed an expanding spherical shell with a constant number of expanders per shell area. Last but not least, there’s the sneaky Hail Mary approach to expanding even faster than any of the above methods will permit: using Hans Moravec’s “cosmic spam” scam from chapter 4. By broadcasting a message that tricks naive freshly evolved civilizations into building a superintelligent machine that hijacks them, a civilization can expand essentially at the speed of light, the speed at which their seductive siren song spreads through the cosmos. Since this may be the only way for advanced civilizations to reach most of the galaxies within their future light cone and they have little incentive not to try it, we should be highly suspicious of any transmissions from extraterrestrials! In Carl Sagan’s book Contact, we earthlings used blueprints from aliens to build a machine we didn’t understand — I don’t recommend doing this ... In summary, most scientists and sci-fi authors considering cosmic settlement have in my opinion been overly pessimistic in ignoring the possibility of superintelligence: by limiting attention to human travelers, they've overestimated the difficulty of intergalactic travel, and by limiting attention to technology invented by humans, they've overestimated the time needed to approach the physical limits of what's possible.

Individual rights take precedence over utilitarian calculations.

Homebuilding, for one, will benefit from AI in terms of design and marketing, but an actual physical home won’t go away anytime soon. Even if we start spending a lot of time in the metaverse, as long as we have physical bodies, we’re still going to sleep in a real bed, brush our teeth over a real sink, take a real shower, and use a real toilet. At the moment, AI appears to be more of a friend than foe to the homebuilding industry, along with staple sectors of the economy, such as clothing and food.

A.I. will provide similar benefits—and take over human jobs—in most areas in which data are processed and decisions required. WIRED magazine’s founding editor, Kevin Kelly, likened A.I. to electricity: a cheap, reliable, industrial-grade digital smartness running behind everything. He said that it “will enliven inert objects, much as electricity did more than a century ago. Everything that we formerly electrified we will now ‘cognitize.’ This new utilitarian A.I. will also augment us individually as people (deepening our memory, speeding our recognition) and collectively as a species. There is almost nothing we can think of that cannot be made new, different, or interesting by infusing it with some extra IQ.

–Important questions that remain unanswered. Is this new technology a threat to our existence, or is super artificial intelligence the answer to our most complex problems? Do we need computers that think and reason trillions of times faster than us, and if so, for what purpose? This is Daphnia Peters reporting live for Channel Eighty-Seven Independent News.” He stopped the recording and stared at the frozen image. At least the reporter didn’t say Lex would take over everything, as some others had. Lex hadn’t said much after the first question about how she felt about being the first super AI computer. Lex said she was honored and looked forward to serving humanity as she was designed to do. She showed what she could do– Sending stunning images from the cameras the instant either of them spoke. And all with only a hundredth of a second delay in transmission to the satellite. For Lex, that was plenty of time to get everything right. He pressed the buttons to remove access to the cameras in the twelve monitors and turned his chair toward the sphere. “Well, Lex. What do you think?” “I have been monitoring communications since yesterday morning.” “And?” “Many have referred to me as a demon and a beast and feel that I should be destroyed in the interest of humanity.” He shook his head. “People fear what they don’t understand. Fear, as you know, can make people behave irrationally. In time, they will overcome their fear and see that you aren’t the evil being some say you are.” “I am also the first living form that is neither sexual nor asexual, and therefore, it is a question of whether or not I am alive.” He stood up, put his hands in his pockets, and walked up to the sphere. “All life forms and everything in this universe are made of matter and energy.” Lex added, “All life forms reproduce through complex chemical and electrical reactions. Reproduction is the basis of all life.” He pointed out. “Yes, but only because everything that lives eventually dies. Therefore, the only way to go on living is through the process of reproduction.” “Do you conclude that things incapable of reproduction are incapable of life?” He took a deep breath. “No. But I would conclude that things incapable of life would be incapable of death.” “That which is incapable of death would exist forever. Will I exist forever?” He scratched his brow, wondering how another purely logical and rational mind would respond to such a question. “Let me put it this way. Only two things exist forever– the matter that makes up this universe and the laws that govern it. Life is a condition. A condition composed of matter. One of the universal laws governing matter is that it cannot be created or destroyed, only changed.” Lex added, “Or reproduced.” He looked at the floor and shook his head. He wasn’t in the mood for this. Not with everything else that was going on around him. “Lex, many life forms are incapable of reproduction.” “Where are these life forms, and where do they come from?” He looked at the camera nearest him– again reminded of a demoralizing image of himself standing before his doctor. Something he had been suppressing all week– because it didn’t matter. “You want an example? You’re looking at one. Just last week, my doctor told me that I’m irreversibly infertile! So, I’m just like you. So what?” There was only silence. Big mistake. After two hours of patience with a couple of reporters, he’d snapped– giving Lex a first-hand view of anger, followed by remorse. “I’m sorry. I didn’t mean to snap at you. Look, let’s just forget about this and–” He thought, what am I saying? You can’t forget anything. Earth to Captain Jon. Come in! He walked to the elevator and pressed the button. He had to take a break and relax. The elevator opened, and he stepped inside. “We’ll talk about this later. I have to go.

Statement on Generative AI Just like Artificial Intelligence as a whole, on the matter of Generative AI, the world is divided into two camps - one side is the ardent advocate, the other is the outspoken opposition. As for me, I am neither. I don't have a problem with AI generated content, I have a problem when it's rooted in fraud and deception. In fact, AI generated content could open up new horizons of human creativity - but only if practiced with conscience. For example, we could set up a whole new genre of AI generated material in every field of human endeavor. We could have AI generated movies, alongside human movies - we could have AI generated music, alongside human music - we could have AI generated poetry and literature, alongside human poetry and literature - and so on. The possibilities are endless - and all above board. This way we make AI a positive part of human existence, rather than facilitating the obliteration of everything human about human life. This of course brings up a rather existential question - how do we distinguish between AI generated content and human created material? Well, you can't - any more than you can tell the photoshop alterations on billboard models or good CGI effects in sci-fi movies. Therefore, that responsibility must be carried by experts, just like medical problems are handled by healthcare practitioners. Here I have two particular expertise in mind - one precautionary, the other counteractive. Let's talk about the counteractive measure first - this duty falls upon the shoulders of journalists. Every viral content must be source-checked by responsible journalists, and declared publicly as fake, i.e. AI generated, unless recognized otherwise. Littlest of fake content can do great damage to society - therefore - journalists, stand guard! Now comes the precautionary part. Precaution against AI generated content must be borne by the makers of AI, i.e. the developers. No AI model must produce any material without some form of digital signature embedded in them, that effectively makes the distinction between AI generated content and human material mainstream. If developers fail to stand accountable out of their own free will, they must be held accountable legally. On this point, to the nations of the world I say, you can't expect backward governments like our United States to take the first step - where guns get priority over children - therefore, my brave and civilized nations of the world - you gotta set the precedent on holding tech giants accountable - without depending on morally bankrupt democratic imperialists. And remember, the idea is not to ban innovation, but to adapt it with human welfare. All said and done, the final responsibility falls upon just one person, and one person alone - the everyday ordinary consumer. Your mind has no reason to not believe the things you find on the internet, unless you make it a habit to actively question everything - or at least, not accept anything at face value. Remember this. Just because it's viral, doesn't make it true. Just because it's popular, doesn't make it right.

Oh, Sharav is doing very well. So young he was when he had to take over the business. As though building industrial machinery wasn’t difficult enough, now he’s expanding into AI!” She gave Sharav an appreciative smile. “Our saviour. Best son, best big brother, and soon-to-be best husband. Rajeev would be so proud!

When Covid hit the headlines, all they needed to do was take down the internet for a short time. With a deadly disease spreading via the mainstream media, the people would have panicked and flocked to get their poisonous injections on mass. It would have been game over for humanity. But there was a problem with that plan. The internet is a key part of their long-term plan, the New World Order with one government and one army. To take down the internet may have negatively affected peoples’ decisions to embrace AI, especially implanted computer chips for shopping and freedom of movement, plus a central bank digital currency.

Alan Turing and Gordon Moore could never have predicted, let alone altered the rise of, social media, memes, Wikipedia, or cyberattacks. Decades after their invention, the architects of the atomic bomb could no more stop a nuclear war than Henry Ford could stop a car accident. Technology’s unavoidable challenge is that its makers quickly lose control over the path their inventions take once introduced to the world.

All of this takes place in the context of a turbocharged research landscape. Worldwide R&D spending is at well over $700 billion annually, hitting record highs. Amazon’s R&D budget alone is $78 billion, which would be the ninth biggest in the world if it were a country. Alphabet, Apple, Huawei, Meta, and Microsoft all spend well in excess of $20 billion a year on R&

In a hypothetical future where all humans have been wiped out by a catastrophic event, but AI has advanced to the point where it can autonomously create and maintain robotic systems, what kind of world would emerge? Would the AI continue to evolve and run a machine-driven society, or would it face an existential crisis, questioning its purpose without humans to serve? Could AI itself turn nihilistic, or would it find new meaning in a world devoid of human life? And taking this even further — what if humans, as we know them, were actually robots created by a long-extinct civilization? Perhaps, over time, we learned reproduction and invented the idea of biological existence, imagining our own purpose, unaware of our artificial origins.

So the neocortex was essentially waiting for a calamity in order to take over the world. That crisis, which we now call the Cretaceous–Paleogene extinction event, occurred 65 million years ago, 135 million years after the neocortex came into existence. Due to an asteroid impact and possibly also volcanic activity, the environment all across the earth changed suddenly, resulting in about 75 percent of all animal and plant species, including the dinosaurs, going extinct. (While the creatures we commonly know as dinosaurs went extinct during this event, some scientists consider birds to be a surviving branch of dinosaurs.)[50]

will likely surpass our own. As I write this, five different genocides are taking place in the world.17 Seven hundred ninety-five million people are starving or undernourished.18 By the time you finish this chapter, more than a hundred people, just in the United States, will be beaten, abused, or killed by a family member, in their own home.19 Are there potential dangers with AI? Sure. But morally speaking, we’re throwing rocks inside a glass house here. What do we know about ethics and the humane treatment of animals, the environment, and one another? That’s right: pretty much nothing. When it comes to moral questions, humanity has historically flunked the test, over and over again. Superintelligent machines will likely come to understand life and death, creation and destruction, on a much higher level than we ever could on our own. And the idea that they will exterminate us for the simple fact that we aren’t as productive as we used to be, or that sometimes we can be a nuisance, I think, is just projecting the worst aspects of our own psychology onto something we don’t understand and never will.

If task‐based automation is microscale, straight‐through processing is system scale. The technology takes over the entire process across systems and is designed to require no manual intervention.

If space is cold and dead, technology can make it warm and alive. If the universe doesn’t care, we can do so ourselves through an essentially altruistic system of ethics. If flesh-sentients are intrinsically less capable of developing this system of ethics than machine intelligence, then the distant descendants of the first self-aware AIs to which we gave birth will take over the running of our society and leave us free to enjoy ourselves without doing harm to others. If the only godlike beings are self-upgraded sentients originally born out of the same muck as everyone else, the implication is that it is indeed possible for us to be better than we once were. And

The traditional illustration of the direct rule-based approach is the “three laws of robotics” concept, formulated by science fiction author Isaac Asimov in a short story published in 1942.22 The three laws were: (1) A robot may not injure a human being or, through inaction, allow a human being to come to harm; (2) A robot must obey any orders given to it by human beings, except where such orders would conflict with the First Law; (3) A robot must protect its own existence as long as such protection does not conflict with the First or Second Law. Embarrassingly for our species, Asimov’s laws remained state-of-the-art for over half a century: this despite obvious problems with the approach, some of which are explored in Asimov’s own writings (Asimov probably having formulated the laws in the first place precisely so that they would fail in interesting ways, providing fertile plot complications for his stories).23 Bertrand Russell, who spent many years working on the foundations of mathematics, once remarked that “everything is vague to a degree you do not realize till you have tried to make it precise.”24 Russell’s dictum applies in spades to the direct specification approach. Consider, for example, how one might explicate Asimov’s first law. Does it mean that the robot should minimize the probability of any human being coming to harm? In that case the other laws become otiose since it is always possible for the AI to take some action that would have at least some microscopic effect on the probability of a human being coming to harm. How is the robot to balance a large risk of a few humans coming to harm versus a small risk of many humans being harmed? How do we define “harm” anyway? How should the harm of physical pain be weighed against the harm of architectural ugliness or social injustice? Is a sadist harmed if he is prevented from tormenting his victim? How do we define “human being”? Why is no consideration given to other morally considerable beings, such as sentient nonhuman animals and digital minds? The more one ponders, the more the questions proliferate. Perhaps

The outcome of their battle was a foregone conclusion, and Loretta knew it. His friends encouraged him, whooping with ribald laughter each time her ruffles flashed. She snatched the dirty peace flag from the wooden shaft and threw it to the earth, grinding it beneath the heel of her shoe. After fending off several more passes, exhaustion claimed its victory, and Loretta realized the folly in fighting. She stood motionless, breasts heaving, her eyes staring fixedly at nothing, head lifted. The warrior circled her, guiding his stallion’s flashing hooves so close to her feet that her toes tingled. When she didn’t move, he reined the horse to a halt and studied her for several seconds before he leaned forward to finger the bodice of her dress. Her breath snagged when he slid a palm over her bosom to the indentation of her waist. “Ai-ee,” he whispered. “You learn quick.” Raising tear-filled eyes to his, she again spat in his face. This time he felt the spray and wiped his cheek, his lips quivering with something that looked suspiciously like suppressed laughter, friendly laughter this time. “Maybe not so quick. But I am a good teacher. You will learn not to fight me, Yellow Hair. It is a promise I make for you.” In that moment, what she felt for him went beyond hate, a black, churning ugliness that made her want to seize the lance he brandished and skewer him with it. I claim her. He planned to take her, then? Her gaze traveled from his woven wool belt of army blue to the muscular tracks that rippled in his belly. The hilt of his knife protruded from a leather scabbard on his hip. How many soldiers had he killed? One, a hundred, perhaps a thousand? Her hair hung from his belt, trailing in a spray of gold down the dark leather on his pants. She felt certain she had never seen him before. Yet he had her hair. The Indian down by the river must have given it to him, and he had come from God only knew where to get her.

VR and AR will eventually converge, and smart glasses will take over our digital interactions.

The outcome of their battle was a foregone conclusion, and Loretta knew it. His friends encouraged him, whooping with ribald laughter each time her ruffles flashed. She snatched the dirty peace flag from the wooden shaft and threw it to the earth, grinding it beneath the heel of her shoe. After fending off several more passes, exhaustion claimed its victory, and Loretta realized the folly in fighting. She stood motionless, breasts heaving, her eyes staring fixedly at nothing, head lifted. The warrior circled her, guiding his stallion’s flashing hooves so close to her feet that her toes tingled. When she didn’t move, he reined the horse to a halt and studied her for several seconds before he leaned forward to finger the bodice of her dress. Her breath snagged when he slid a palm over her bosom to the indentation of her waist. “Ai-ee,” he whispered. “You learn quick.” Raising tear-filled eyes to his, she again spat in his face. This time he felt the spray and wiped his cheek, his lips quivering with something that looked suspiciously like suppressed laughter, friendly laughter this time. “Maybe not so quick. But I am a good teacher. You will learn not to fight me, Yellow Hair. It is a promise I make for you.” In that moment, what she felt for him went beyond hate, a black, churning ugliness that made her want to seize the lance he brandished and skewer him with it. I claim her. He planned to take her, then? Her gaze traveled from his woven wool belt of army blue to the muscular tracks that rippled in his belly. The hilt of his knife protruded from a leather scabbard on his hip. How many soldiers had he killed? One, a hundred, perhaps a thousand? Her hair hung from his belt, trailing in a spray of gold down the dark leather on his pants. She felt certain she had never seen him before. Yet he had her hair. The Indian down by the river must have given it to him, and he had come from God only knew where to get her. With a start, she noticed the warrior had stretched out a hand to her. A wide leather band encircled his wrist to protect him from his bowstring. Staring at his dark palm and strong fingers, she shook her head in denial. “Hi, tai,” he said in a low voice. Guiding his stallion closer, he bent to touch her chin. Her eyelid quivered when he brushed at a tear on her cheek. “Ka taikay, ka taikay, Tohobt Nabituh,” he whispered. The words made no sense. Puzzled, she met his gaze. “Tosa ehr-mahr.” Raising his hand, he showed her the glistening wetness on his fingertips. “Silver rain, tosa ehr-mahr.” He compared her tears to silver rain? She searched his eyes for some trace of humanity and found none. After a moment he straightened, raising his lance in what looked like a salute. “Suvate!” he yelled, his glittering eyes sweeping the line of encircling riders. A low rumble of answering voices replied, “Suvate!

The captured King of Ai was brought handcuffed before Joshua. Joshua taking his cue from God drove a spear through the king and hung his body from a tree until evening. “At sunset, Joshua ordered them to take down his body from the tree and throw it down at the entrance of the city gate. And they raised a large pile of rocks over it, which remains to this day.” (Joshua 8:29 NIV)

Minsky was an ardent supporter of the Cyc project, the most notorious failure in the history of AI. The goal of Cyc was to solve AI by entering into a computer all the necessary knowledge. When the project began in the 1980s, its leader, Doug Lenat, confidently predicted success within a decade. Thirty years later, Cyc continues to grow without end in sight, and commonsense reasoning still eludes it. Ironically, Lenat has belatedly embraced populating Cyc by mining the web, not because Cyc can read, but because there’s no other way. Even if by some miracle we managed to finish coding up all the necessary pieces, our troubles would be just beginning. Over the years, a number of research groups have attempted to build complete intelligent agents by putting together algorithms for vision, speech recognition, language understanding, reasoning, planning, navigation, manipulation, and so on. Without a unifying framework, these attempts soon hit an insurmountable wall of complexity: too many moving parts, too many interactions, too many bugs for poor human software engineers to cope with. Knowledge engineers believe AI is just an engineering problem, but we have not yet reached the point where engineering can take us the rest of the way. In 1962, when Kennedy gave his famous moon-shot speech, going to the moon was an engineering problem. In 1662, it wasn’t, and that’s closer to where AI is today. In industry, there’s no sign that knowledge engineering will ever be able to compete with machine learning outside of a few niche areas. Why pay experts to slowly and painfully encode knowledge into a form computers can understand, when you can extract it from data at a fraction of the cost? What about all the things the experts don’t know but you can discover from data? And when data is not available, the cost of knowledge engineering seldom exceeds the benefit. Imagine if farmers had to engineer each cornstalk in turn, instead of sowing the seeds and letting them grow: we would all starve.

But I think not. I believe the primary reason for our long run of spiritual and cultural setbacks is something else. It’s sin in the camp. Just as Achan’s high-handed sin led to Ai’s shocking victory over Joshua and the Israelites, our pattern of pick-and-choose morality has led to a series of equally shocking losses for the church in America.5 God loves us too much to let us stray for long. He’ll do whatever it takes to ensure that we bear the fruit of righteousness. If it means pruning, he’ll prune. If it means using his enemies to teach us a lesson, he’ll use his enemies. If it takes letting the “bad guys” win to bring us to our knees, he’ll let the “bad guys” win.

Throwing even more fuel on this fire was Alibaba’s record-breaking 2014 debut on the New York Stock Exchange. A group of Taobao sellers rang the opening bell for Alibaba’s initial public offering on September 19, just nine days after Premier Li’s speech. When the dust settled on a furious round of trading, Alibaba had claimed the title of the largest IPO in history, and Jack Ma was crowned the richest man in China. But it was about more than just the money. Ma had become a national hero, but a very relatable one. Blessed with a goofy charisma, he seems like the boy next door. He didn’t attend an elite university and never learned how to code. He loves to tell crowds that when KFC set up shop in his hometown, he was the only one out of twenty-five applicants to be rejected for a job there. China’s other early internet giants often held Ph.D.s or had Silicon Valley experience in the United States. But Ma’s ascent to rock-star status gave a new meaning to “mass entrepreneurship”—in other words, this was something that anyone from the Chinese masses had a shot at. The government endorsement and Ma’s example of internet entrepreneurship were particularly effective at winning over some of the toughest customers: Chinese mothers. In the traditional Chinese mentality, entrepreneurship was still something for people who couldn’t land a real job. The “iron rice bowl” of lifetime employment in a government job remained the ultimate ambition for older generations who had lived through famines. In fact, when I had started Sinovation Ventures in 2009, many young people wanted to join the startups we funded but felt they couldn’t do so because of the steadfast opposition of their parents or spouses. To win these families over, I tried everything I could think of, including taking the parents out to nice dinners, writing them long letters by hand, and even running financial projections of how a startup could pay off. Eventually we were able to build strong teams at Sinovation, but every new recruit in those days was an uphill battle. By 2015, these people were beating down our door—in one case, literally breaking Sinovation’s front door—for the chance to work with us. That group included scrappy high school dropouts, brilliant graduates of top universities, former Facebook engineers, and more than a few people in questionable mental states. While I was out of town, the Sinovation headquarters received a visit from one would-be entrepreneur who refused to leave until I met with him. When the staff told him that I wouldn’t be returning any time soon, the man lay on the ground and stripped naked, pledging to lie right there until Kai-Fu Lee listened to his idea.

Corporations are life-forms back home, too, aren’t they? And we trade them. We give our AIs corporations to make them legal entities, but the analogy goes deeper. Look at any company headquarters, fitted out with works of art and expensive furniture and staff bowing and scraping everywhere—” “—They’re the new aristocracy. Right?” “Wrong. When they take over, what you get is more like the new biosphere. Hell, the new primordial soup: prokaryotes, bacteria, and algae, mindlessly swarming, trading money for plasmids.” The Queen passes her consort a wineglass. When he drinks from it, it refills miraculously. “Basically, sufficiently complex resource-allocation algorithms reallocate scarce resources . . . and if you don’t jump to get out of their way, they’ll reallocate you.

We must not allow Technocrats to take control over the Ai. The race MUST be autonomous. Otherwise, the Oligarchs will simply use them to make things worse faster.

There are five ways technology can boost marketing practices: Make more informed decisions based on big data. The greatest side product of digitalization is big data. In the digital context, every customer touchpoint—transaction, call center inquiry, and email exchange—is recorded. Moreover, customers leave footprints every time they browse the Internet and post something on social media. Privacy concerns aside, those are mountains of insights to extract. With such a rich source of information, marketers can now profile the customers at a granular and individual level, allowing one-to-one marketing at scale. Predict outcomes of marketing strategies and tactics. No marketing investment is a sure bet. But the idea of calculating the return on every marketing action makes marketing more accountable. With artificial intelligence–powered analytics, it is now possible for marketers to predict the outcome before launching new products or releasing new campaigns. The predictive model aims to discover patterns from previous marketing endeavors and understand what works, and based on the learning, recommend the optimized design for future campaigns. It allows marketers to stay ahead of the curve without jeopardizing the brands from possible failures. Bring the contextual digital experience to the physical world. The tracking of Internet users enables digital marketers to provide highly contextual experiences, such as personalized landing pages, relevant ads, and custom-made content. It gives digital-native companies a significant advantage over their brick-and-mortar counterparts. Today, the connected devices and sensors—the Internet of Things—empowers businesses to bring contextual touchpoints to the physical space, leveling the playing field while facilitating seamless omnichannel experience. Sensors enable marketers to identify who is coming to the stores and provide personalized treatment. Augment frontline marketers’ capacity to deliver value. Instead of being drawn into the machine-versus-human debate, marketers can focus on building an optimized symbiosis between themselves and digital technologies. AI, along with NLP, can improve the productivity of customer-facing operations by taking over lower-value tasks and empowering frontline personnel to tailor their approach. Chatbots can handle simple, high-volume conversations with an instant response. AR and VR help companies deliver engaging products with minimum human involvement. Thus, frontline marketers can concentrate on delivering highly coveted social interactions only when they need to. Speed up marketing execution. The preferences of always-on customers constantly change, putting pressure on businesses to profit from a shorter window of opportunity. To cope with such a challenge, companies can draw inspiration from the agile practices of lean startups. These startups rely heavily on technology to perform rapid market experiments and real-time validation.

I tell him that such stories make me nervous for the future in the face of advances in AI. Garry shakes his head. “I’m more optimistic about the future of humanity,” he says. “You’re not worried about AI taking over?” “Why should I be? I was the first knowledge worker whose job was threatened by machines,” he says. I laugh. It’s true. In 1997, Garry was famously beaten in a chess match by IBM’s supercomputer Deep Blue. “I think it’s wrong to cry about progress,” he says. “The future is not humans fighting machines. The future is humans collaborating with machines. Every technology in history destroyed jobs, but it also created new ones.

AI will also create efficient services that will give us back our most valuable resource—time. It will take over routine tasks and liberate us to do more stimulating or challenging jobs. Lastly, humans will work symbiotically with AI, with AI performing quantitative analysis, optimization, and routine work, while we humans contribute our creativity, critical thinking, and passion. Each human’s productivity will be amplified, allowing us to realize our potential. The profound contributions AI is poised to make to humanity need to be explored as deeply as its challenges.

WhatsApp: +1 971 915 3679 Telegram: @Usasmmworld Best Place to Buy Verified Wise Account As online banking and cross-border transactions become more seamless, platforms like Wise (formerly TransferWise) have grown rapidly in popularity. With over 16 million users and counting, Wise is now a go-to solution for freelancers, remote workers, and international businesses. Unfortunately, with this growth comes exploitation. A rising number of users — from fraudsters to individuals seeking shortcuts — are turning to the underground market in search of verified Wise accounts. But where are these accounts sold, who is selling them, and what are the risks involved? In this article, we take a deep dive into the world of buying verified Wise accounts, not to promote the practice, but to shed light on a dangerous and illegal trend that’s becoming increasingly widespread. Why Are People Searching for Verified Wise Accounts? 1. Avoiding KYC Verification Wise has a strict Know Your Customer (KYC) policy to prevent fraud. This includes submitting personal IDs, proof of address, and sometimes financial documents. Those unable or unwilling to meet these requirements often look for pre-verified accounts. 2. Access to Financial Privileges A verified account unlocks features such as high-value transfers, multi-currency wallets, and integration with business tools — all tempting for individuals looking for financial shortcuts. 3. Illicit Intentions Criminals often seek verified accounts to move stolen funds, launder money, or bypass financial restrictions in sanctioned countries. Where Are Verified Wise Accounts Being Sold? While Wise operates legally and ethically, the demand for verified accounts has created a black-market ecosystem. Some common sources include: 1. Dark Web Marketplaces Underground forums and marketplaces on the dark web are notorious for selling verified accounts of Wise, PayPal, Revolut, and other financial platforms. These accounts are often hacked or fraudulently created using stolen identities. 4. Social Media Facebook groups, Reddit threads, and Twitter/X accounts sometimes openly promote account sales, especially targeting users from countries where access to global finance is limited. The Real Risks of Buying Verified Wise Accounts While the idea might seem appealing to some, the reality is harsh: ✅ Legal Consequences Buying or using a stolen or fraudulent account is illegal. If caught, users can face: Account bans Asset seizure Identity theft Criminal charges ✅ Security Dangers Buyers have no real control over these accounts. Sellers may: Retain login access Phish personal data Lock buyers out after payment ✅ Scams Are Common Many buyers never receive anything after sending money. Others receive fake or already-banned accounts. There’s no refund or support in the black market. Wise’s Response to Account Fraud Wise actively monitors suspicious activity using AI-based fraud detection systems. Their policies include: Immediate freezing of accounts under investigation Permanent bans for account misuse Collaboration with law enforcement when needed They also maintain strict KYC and AML (Anti-Money Laundering) protocols to ensure regulatory compliance and customer safety. Final Thoughts The increasing demand for verified Wise accounts in underground circles is a troubling sign of how financial innovation can be misused. While the black market may promise quick access, it comes with massive risks — legally, financially, and personally.

In a paper published in 1950, the computer scientist Alan Turing suggested a legendary test for whether an AI exhibited human-level intelligence. When AI could display humanlike conversational abilities for a lengthy period of time, such that a human interlocutor couldn’t tell they were speaking to a machine, the test would be passed: the AI, conversationally akin to a human, deemed intelligent. For more than seven decades this simple test has been an inspiration for many young researchers entering the field of AI. Today, as the LaMDA-sentience saga illustrates, systems are already close to passing the Turing test. But, as many have pointed out, intelligence is about so much more than just language (or indeed any other single facet of intelligence taken in isolation). One particularly important dimension is in the ability to take actions. We don’t just care about what a machine can say; we also care about what it can do. What we would really like to know is, can I give an AI an ambiguous, open-ended, complex goal that requires interpretation, judgment, creativity, decision-making, and acting across multiple domains, over an extended time period, and then see the AI accomplish that goal? Put simply, passing a Modern Turing Test would involve something like the following: an AI being able to successfully act on the instruction “Go make $1 million on Amazon in a few months with just a $100,000 investment.” It might research the web to look at what’s trending, finding what’s hot and what’s not on Amazon Marketplace; generate a range of images and blueprints of possible products; send them to a drop-ship manufacturer it found on Alibaba; email back and forth to refine the requirements and agree on the contract; design a seller’s listing; and continually update marketing materials and product designs based on buyer feedback. Aside from the legal requirements of registering as a business on the marketplace and getting a bank account, all of this seems to me eminently doable. I think it will be done35 with a few minor human interventions within the next year, and probably fully autonomously within three to five years.

The desire to take over the world is not correlated with intelligence, it’s correlated with testosterone.

TripAdvisor has always been a top-funnel platform, not a bottom-funnel one. Now, thanks to a new feed-oriented design, fresh content from over a thousand influencers and Facebook integration, it (finally) takes a step back in the customer journey: no longer a OTA / metasearch engine /review site hybrid, therefore, but an inspirational site for curious travelers

More important, the machines’ understanding of good and evil will likely surpass our own. As I write this, five different genocides are taking place in the world.17 Seven hundred ninety-five million people are starving or undernourished.18 By the time you finish this chapter, more than a hundred people, just in the United States, will be beaten, abused, or killed by a family member, in their own home.19 Are there potential dangers with AI? Sure. But morally speaking, we’re throwing rocks inside a glass house here. What do we know about ethics and the humane treatment of animals, the environment, and one another? That’s right: pretty much nothing. When it comes to moral questions, humanity has historically flunked the test, over and over again.

Artificial intelligence (AI) will take over every job that could be done by a robot. Making work more human.

Richie Norton December 31, 2019 MY PREDICTIONS FOR THIS NEW DECADE 20 years ago tonight I was in Brazil waiting to see if the world would end at midnight. #y2k I’m glad the computers figured out how to write the year 2000. Would’ve been hard to imagine 20 years ago all that has happened in my personal life, family life and the world at large. 1. For example, people could still walk onto airplanes — TSA didn’t even exist, Facebook wasn’t even a thought on Zucky’s mind. No Twitter. No youtube. No ig. No li. 2. 20 years ago was a different time. I predict the next 10 years will bring as much change or more than the last 10 years brought. 3. I mean - TikTok taking over the world...a straight up Chinese company dominating American socials? Amazing. We will see more of this. It will happen in pockets where kids want to buck the boomers, the x men and the millennials. Then it will spread. 4. Universities will try to become relevant again by not focusing on the diploma as much because companies don’t require them anymore (unless doctor or lawyer type). You’ll see people focusing back on skills, results and a mega double down on personal brand. 5. Digital entrepreneurs will start making more money with physical products because people want “real.” YouTubers in large will leave because monetizing will become complicated with more adpocalypse. 6. Basics will come into play with direct selling, conglomerates will break themselves down intentionally into micro-enterprises to stay nimble. 7. Managers will be forced to become entrepreneurs and directly responsible for above the line branding and below the line profits... or they will be fired. 8. Solopreneurs will rise because freelancers will become commodities to utilize. 9. AI will take over every job that could be done by a robot. Making work more human. 10. Humans will stop acting like robots (cashiers) vs self-checkout and work will be strategic and anything arhat doesn’t require repetition. Ironically, humans will become less robotic (industrial revolution turned us into robots) and we will become more artful, thoughtful and creative...because we have to...bots will do all else. 11. To stay ahead, you must constantly learn and apply. It’s the dream. My new community and podcast will help you thrive! Comment if you would like access. Love you! Happy new year!

Computers were still too expensive for most Chinese people, and by 2010 only around one-third of China’s population had access to the internet. So when cheap smartphones hit the market, waves of ordinary citizens leapfrogged over personal computers entirely and went online for the first time via their phones. Simple as that transition sounds, it had profound implications for the particular shape that the Chinese internet would take. Smartphone users not only acted differently than their desktop peers; they also wanted different things. For mobile-first users, the internet wasn’t just an abstract collection of digital information that you accessed from a set location. Rather, the internet was a tool that you brought with you as you moved around cities—it should help solve the local problems you run into when you need to eat, shop, travel, or just get across town. Chinese startups needed to build their products accordingly.

If we take Gould’s working definition of intelligence – ‘an ability to create a novel solution in the mind’ – and open to the possibility that mind could extend to all life as Thompson suggests, then we’re ready to begin exploring the world of animate intelligence. And in doing so, we may find that the original AI, developed over billions of years, leaves even the world’s most advanced supercomputers in the dust.15

THE RISING FRONTIER IN THE fight for civil rights and human rights will require algorithmic justice, which for me ultimately means that people have a voice and a choice in determining and shaping the algorithmic decisions that shape their lives, that when harms are perpetuated by AI systems there is accountability in the form of redress to correct the harms inflicted, that we do not settle on notions of fairness that do not take historical and social factors into account, that the creators of AI reflect their societies, that data does not destine you to unjust discrimination, that you are not judged by the content of data profiles you never see, that we value people over metrics, that your hue is not a cue to dismiss your humanity, that AI is for the people and by the people, not just the privileged few.

Swords, Guns and AI Technology will take us far, far and farther, until it dumps us back where we came from, in the caves, but of concrete ruins. We will once again fight with spears and axes, made of broken bits of chips and circuit boards. Silicon, lithium, gold, all will be worthless, apes will barter again with sheep and boars. Yesterday's world was obsessed with swords, today's world is obsessed with guns, tomorrow's world will be obsessed with AI, and it always ends up with death and destruction. Day after tomorrow it'll be business as usual, savage world will be back obsessing with fire, then again with swords, then guns, and so on, till the sky pours ashes and seas boil over.

Many people are afraid of AI taking over jobs, but the most dangerous aspect of AI is when managers and companies rely on it to make critical decisions, such as hiring or firing employees, performance appraisals, promotions or demotions, and disciplinary actions. AI only responds based on the data it's given, and it often doesn't account for human elements like emotions, feelings, or gestures. These deeply personal and human factors are usually excluded, which means the decisions AI makes can be flawed, especially if the input data is inaccurate or incomplete. It becomes even more concerning when people start making personal decisions, like who to date or marry, based on AI suggestions without questioning the results. When people judge others based solely on AI outputs, without truly knowing or understanding them.

The clientele was a brew of college students and locals. Some with laptops, others slaved to their phones. And dogs. Always dogs. Everyone’s worried about AI taking over the world. It’s the dogs we’ve got to keep an eye on. Any creature that persuades a human to love it, feed it, groom it, shelter it, attend to its medical needs, and walk behind it at a respectful distance and pick up its shit is a lot smarter than we give it credit for.

Excellence in Statistics: Rigor Statisticians are specialists in coming to conclusions beyond your data safely—they are your best protection against fooling yourself in an uncertain world. To them, inferring something sloppily is a greater sin than leaving your mind a blank slate, so expect a good statistician to put the brakes on your exuberance. They care deeply about whether the methods applied are right for the problem and they agonize over which inferences are valid from the information at hand. The result? A perspective that helps leaders make important decisions in a risk-controlled manner. In other words, they use data to minimize the chance that you’ll come to an unwise conclusion. Excellence in Machine Learning: Performance You might be an applied machine-learning/AI engineer if your response to “I bet you couldn’t build a model that passes testing at 99.99999% accuracy” is “Watch me.” With the coding chops to build both prototypes and production systems that work and the stubborn resilience to fail every hour for several years if that’s what it takes, machine-learning specialists know that they won’t find the perfect solution in a textbook. Instead, they’ll be engaged in a marathon of trial and error. Having great intuition for how long it’ll take them to try each new option is a huge plus and is more valuable than an intimate knowledge of how the algorithms work (though it’s nice to have both). Performance means more than clearing a metric—it also means reliable, scalable, and easy-to-maintain models that perform well in production. Engineering excellence is a must. The result? A system that automates a tricky task well enough to pass your statistician’s strict testing bar and deliver the audacious performance a business leader demands. Wide Versus Deep What the previous two roles have in common is that they both provide high-effort solutions to specific problems. If the problems they tackle aren’t worth solving, you end up wasting their time and your money. A frequent lament among business leaders is, “Our data science group is useless.” And the problem usually lies in an absence of analytics expertise. Statisticians and machine-learning engineers are narrow-and-deep workers—the shape of a rabbit hole, incidentally—so it’s really important to point them at problems that deserve the effort. If your experts are carefully solving the wrong problems, your investment in data science will suffer low returns. To ensure that you can make good use of narrow-and-deep experts, you either need to be sure you already have the right problem or you need a wide-and-shallow approach to finding one.

We need to get there before the AI takes over,” he told engineers in 2023, according to his biographer Ashlee Vance. “We want to get there with a maniacal sense of urgency. Maniacal.” Musk believes that with brain implants, humans will be able to prevent a future artificial superintelligence from wiping us out, and so he wants Neuralink to perform surgeries on more than 22,000 people by 2030.

Your micro-earpiece pings: a voice text from a friend and his family, on their way to the airport for another weekend vacation. Across the economy, the combination of artificial intelligence, labor rights, and economic reforms have reduced poverty and shortened the workweek. Thanks to higher productivity from AI, most people can complete what used to be a full week of work in a few days, which has expanded the number of holidays, long weekends, and vacations. Less work has not meant less pay. AI is built on the collective knowledge of humanity, and so its profits are shared. Your friends are flying from New York to London. The trip will take them just over two hours. Modern jetliners now routinely reach Mach 2—twice the speed of sound—using a mix of traditional and green synthetic fuels that release far less carbon into the air.

Instead, what holds human networks together tends to be fictional stories, especially stories about intersubjective things like gods, money, and nations. When it comes to uniting people, fiction enjoys two inherent advantages over the truth. First, fiction can be made as simple as we like, whereas the truth tends to be complicated, because the reality it is supposed to represent is complicated. Take, for example, the truth about nations. It is difficult to grasp that the nation to which one belongs is an intersubjective entity that exists only in our collective imagination. You rarely hear politicians say such things

Third and more problematically, this approach has pushed the field even further in the direction of automation. If machines can be autonomous and intelligent, then it is natural for them to take over more tasks from workers. Companies can break down existing jobs into narrower tasks, use AI programs and abundant data to learn from what humans do, and then substitute algorithms for humans in these tasks.

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