Artificial Intelligence Movie Quotes

Your synapses store all your knowledge and skills as roughly 100 terabytes’ worth of information, while your DNA stores merely about a gigabyte, barely enough to store a single movie download.

Indeed, many movies about artificial intelligence are so divorced from scientific reality that one suspects they are just allegories of completely different concerns. Thus the 2015 movie Ex Machina seems to be about an AI expert who falls in love with a female robot only to be duped and manipulated by her. But in reality, this is not a movie about the human fear of intelligent robots. It is a movie about the male fear of intelligent women, and in particular the fear that female liberation might lead to female domination. Whenever you see a movie about an AI in which the AI is female and the scientist is male, it’s probably a movie about feminism rather than cybernetics. For why on earth would an AI have a sexual or a gender identity? Sex is a characteristic of organic multicellular beings. What can it possibly mean for a non-organic cybernetic being?

To hear an artificial intelligence, interpret ancient scriptures with greater clarity than most pastors has her spooked like a Stephen King horror movie that gets inside your head.

In the medium term, AI may automate our jobs, to bring both great prosperity and equality. Looking further ahead, there are no fundamental limits to what can be achieved. There is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains. An explosive transition is possible, although it may play out differently than in the movies. As mathematician Irving Good realised in 1965, machines with superhuman intelligence could repeatedly improve their design even further, in what science-fiction writer Vernor Vinge called a technological singularity. One can imagine such technology outsmarting financial markets, out-inventing human researchers, out-manipulating human leaders and potentially subduing us with weapons we cannot even understand. Whereas the short-term impact of AI depends on who controls it, the long-term impact depends on whether it can be controlled at all.

The Pyrenean ibex, an extinct form of wild mountain goat, was brought back to life in 2009 through cloning of dna taken from skin samples. This was followed in June of 2010 by researchers at Jeju National University in Korea cloning a bull that had been dead for two years. Cloning methods are also being studied for use in bringing back Tasmanian tigers, woolly mammoths, and other extinct creatures, and in the March/April 2010 edition of the respected Archaeology magazine, a feature article by Zah Zorich (“Should We Clone Neanderthals?”) called for the resurrection via cloning of what some consider to be man’s closest extinct relative, the Neanderthals. National Geographic confirmed this possibility in its May 2009 special report, “Recipe for a Resurrection,” quoting Hendrik Poinar of McMaster University, an authority on ancient dna who served as a scientific consultant for the movie Jurassic Park, saying: “I laughed when Steven Spielberg said that cloning extinct animals was inevitable. But I’m not laughing anymore.… This is going to happen.

On the one hand, online movie reviews are convenient for training sentiment-classifying algorithms because they come with handy star ratings that indicate how positive the writer intended a review to be. On the other hand, it’s a well-known phenomenon that movies with racial or gender diversity in their casts, or that deal with feminist topics, tend to be “review-bombed” by hordes of bots posting highly negative reviews. People have theorized that algorithms that learn from these reviews whether words like feminist and black and gay are positive or negative may pick up the wrong idea from the angry bots.

More recently, mathematical script has given rise to an even more revolutionary writing system, a computerised binary script consisting of only two signs: 0 and 1. The words I am now typing on my keyboard are written within my computer by different combinations of 0 and 1. Writing was born as the maidservant of human consciousness, but is increasingly becoming its master. Our computers have trouble understanding how Homo sapiens talks, feels and dreams. So we are teaching Homo sapiens to talk, feel and dream in the language of numbers, which can be understood by computers. And this is not the end of the story. The field of artificial intelligence is seeking to create a new kind of intelligence based solely on the binary script of computers. Science-fiction movies such as The Matrix and The Terminator tell of a day when the binary script throws off the yoke of humanity. When humans try to regain control of the rebellious script, it responds by attempting to wipe out the human race.

currently under design is kept at the embryonic level, and that fully mature monstrosities (like the creature in the 2010 movie Splice) may

This is why AI researchers like to draw a distinction between artificial narrow intelligence (ANI), the kind we have now, and artificial general intelligence (AGI), the kind we usually find in books and movies.

by leveraging Prometheus’ movie-making talents, the video segments would truly engage, providing powerful metaphors that you would relate to, leaving you craving to learn more.

In the movie The Matrix, Agent Smith (an AI) articulates this sentiment: “Every mammal on this planet instinctively develops a natural equilibrium with the surrounding environment but you humans do not. You move to an area and you multiply and multiply until every natural resource is consumed and the only way you can survive is to spread to another area. There is another organism on this planet that follows the same pattern. Do you know what it is? A virus. Human beings are a disease, a cancer of this planet. You are a plague and we are the cure.

we can figure that out, including how to talk about it in a way that Americans will understand and support, that will be both good policy and good politics. There’s another angle to consider as well. Technologists like Elon Musk, Sam Altman, and Bill Gates, and physicists like Stephen Hawking have warned that artificial intelligence could one day pose an existential security threat. Musk has called it “the greatest risk we face as a civilization.” Think about it: Have you ever seen a movie where the machines start thinking for themselves that ends well? Every time I went out to Silicon Valley during the campaign, I came home more alarmed about this. My staff lived in fear that I’d start talking about “the rise of the robots” in some Iowa town hall. Maybe I should have. In any case, policy makers need to keep up with technology as it races ahead, instead of always playing catch-up.

Humanizing AI (The Sonnet) You can code tasks, But not consciousness. You can code phony feelings, But definitely not sentience. Nobody can bring a machine to life, No matter how complex you make it. But once a machine is complex enough, It might develop awareness by accident. So let us focus on humanizing AI, By removing biases from algorithms, Rather than dehumanizing AI, By aiming for a future without humans. Rich kids with rich dreams make good movies. Be human first and use AI to equalize communities.

I want to draw especial attention to the treatment of AI—artificial intelligence—in these narratives. Think of Ex Machina or Blade Runner. I spoke at TED two years in a row, and one year, there were back-to-back talks about whether or not AI was going to evolve out of control and “kill us all.” I realized that that scenario is just something I have never been afraid of. And at the same moment, I noticed that the people who are terrified of machine super-intelligence are almost exclusively white men. I don’t think anxiety about AI is really about AI at all. I think it’s certain white men’s displaced anxiety upon realizing that women and people of color have, and have always had, sentience, and are beginning to act on it on scales that they’re unprepared for. There’s a reason that AI is almost exclusively gendered as female, in fiction and in life. There’s a reason they’re almost exclusively in service positions, in fiction and in life. I’m not worried about how we’re going to treat AI some distant day, I’m worried about how we treat other humans, now, today, all over the world, far worse than anything that’s depicted in AI movies. It matters that still, the vast majority of science fiction narratives that appear in popular culture are imagined by, written by, directed by, and funded by white men who interpret the crumbling of their world as the crumbling of the world.

Your synapses store all your knowledge and skills as roughly 100 terabytes’ worth of information, while your DNA stores merely about a gigabyte, barely enough to store a single movie download. So it’s physically impossible for an infant to be born speaking perfect English and ready to ace her college entrance exams: there’s no way the information could have been preloaded into her brain, since the main information module she got from her parents (her DNA) lacks sufficient information-storage capacity.

AI dominance may not be obvious in a product or service. It’s everything that is done to optimize the things you don’t see, from pricing, mfg, customer service, etc. These lead to better cash flows. It’s a new paradigm in organizing companies but it’s INCREDIBLY HARD to do right.5 The “AI Squad”. The companies that have harnessed AI the best are the companies dominating. To paraphrase a great movie line, “They keep getting smarter while everyone else stays the same.

•​Alexa and Siri answer your questions •​Amazon predicts your next purchase •​Apple unlocks the iPhone by scanning your face •​Facebook targets you with ads •​Gmail finishes your sentences •​Google Maps routes you to your destination •​LinkedIn curates your homepage and recommends connections •​Netflix recommends shows and movies •​Spotify learns the music you love •​Tesla’s Autopilot steers, accelerates, and brakes your car •​YouTube suggests videos •​Zoom automatically transcribes your recorded meetings

You look like you were created by artificial intelligence to star in action movies.

So then . . .” I began. “Why did humans congregate to watch movies?” “Because humans valued stories over logic,” said Parent_1. “It was another of their flaws.

In a widely viewed documentary titled Singularity or Bust, Hugo de Garis, a renowned researcher in the field of AI and author of The Artilect War, speaks of this phenomenon. He says: In a sense, we are the problem. We’re creating artificial brains that will get smarter and smarter every year. And you can imagine, say twenty years from now, as that gap closes, millions will be asking questions like ‘Is that a good thing? Is that dangerous?’ I imagine a great debate starting to rage and, though you can’t be certain talking about the future, the scenario I see as the most probable is the worst. This time, we’re not talking about the survival of a country. This time, it’s the survival of us as a species. I see humanity splitting into two major philosophical groups, ideological groups. One group I call the cosmists, who will want to build these godlike, massively intelligent machines that will be immortal. For this group, this will be almost like a religion and that’s potentially very frightening. Now, the other group’s main motive will be fear. I call them the terrans. If you look at the Terminator movies, the essence of that movie is machines versus humans. This sounds like science fiction today but, at least for most of the techies, this idea is getting taken more and more seriously, because we’re getting closer and closer. If there’s a major war, with this kind of weaponry, it’ll be in the billions killed and that’s incredibly depressing. I’m glad I’m alive now. I’ll probably die peacefully in my bed. But I calculate that my grandkids will be caught up in this and I won’t. Thank God, I won’t see it. Each person is going to have to choose. It’s a binary decision, you build them or you don’t build them.

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.

The dream of Strong Artificial Intelligence—and more specifically the growing interest in the idea that a computer can become conscious and have first-person subjective experiences—has led to a cultural shift. Prophets like Kurzweil believe that we are much closer to cyberconsciousness and superintelligence than most observers acknowledge, while skeptics argue that current AI systems are still extremely primitive and that hopes of conscious machines are pipedreams. Who is right? This book does not attempt to address this question, but points out some philosophical problems and asks some philosophical questions about machine consciousness. One fundamental problem is that we do not understand human consciousness. Many in science and artificial intelligence assume that human consciousness is based on information or computations. Several writers have tried to tackle this assumption, most notably the British physicist Roger Penrose, whose controversial theory suggests that consciousness is based upon noncomputable quantum states in some of the tiniest structures in the brain, called microtubules. Other, perhaps less esoteric thinkers, like Duke’s Miguel Nicolelis and Harvard’s Leonid Perlovsky, are beginning to challenge the idea that the brain is computable. These scientists lead their fields in man-machine interfacing and computer science. The assumption of a computable brain allows artificial intelligence researchers to believe they will create artificial minds. However, despite assuming that the brain is a computational system—what philosopher Riccardo Manzotti calls “the computational stance”—neuroscience is still discovering that human consciousness is nothing like we think it is. For me this is where LSD enters the picture. It turns out that human consciousness is likely itself a form of hallucination. As I have said, it is a very useful hallucination, but a hallucination nonetheless. LSD and psychedelics may help reveal our normal everyday experience for the hallucination that it is. This insight has been argued about for centuries in philosophy in various forms. Immanuel Kant may have been first to articulate it in modern form when he called our perception of the world “synthetic.” The fundamental idea is that we do not have direct knowledge of the external world. This idea will be repeated often in this book, and you will have to get used to it. We only have knowledge of our brain’s creation of that world for us. In other words, what we see, hear, and subsequently think are like movies that our brain plays for us after the fact. These movies are based on perceptions that come into our senses from the external world, but they are still fictions of our brain’s creation. In fact, you might put the disclaimer “based on a true story” in front of each experience you have. I do not wish to imply that I believe in the homunculus argument—what philosopher Daniel Dennett describes as the “Cartesian Theater”—the hypothetical place in the mind where the self becomes aware of the world. I only wish to employ the metaphor to illustrate the idea that there is no direct relationship between the external world and your perception of it.

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.

Writing was born as the maidservant of human consciousness, but it is increasingly becoming its master. Our computers have trouble understanding how Homo sapiens talks, feels and dreams. So we are teaching Homo sapiens to talk, feel and dream in the language of numbers, which can be understood by computers. And this is not the end of the story. The field of artificial intelligence is seeking to create a new kind of intelligence based solely on the binary script of computers. Science-fiction movies such as The Matrix and The Terminator tell of a day when the binary script throws off the yoke of humanity. When humans try to regain control of the rebellious script, it responds by attempting to wipe out the human race.

the Omegas harnessed Prometheus to revolutionize education. Given any person’s knowledge and abilities, Prometheus could determine the fastest way for them to learn any new subject in a manner that kept them highly engaged and motivated to continue, and produce the corresponding optimized videos, reading materials, exercises and other learning tools. Omega-controlled companies therefore marketed online courses about virtually everything, highly customized not only by language and cultural background but also by starting level. Whether you were an illiterate forty-year-old wanting to learn to read or a biology PhD seeking the latest about cancer immunotherapy, Prometheus had the perfect course for you. These offerings bore little resemblance to most present-day online courses: by leveraging Prometheus’ movie-making talents, the video segments would truly engage, providing powerful metaphors that you would relate to, leaving you craving to learn more. Some courses were sold for profit, but many were made available for free, much to the delight of teachers around the world who could use them in their classrooms—and to most anybody eager to learn anything.

So far, the smallest memory device known to be evolved and used in the wild is the genome of the bacterium Candidatus Carsonella ruddii, storing about 40 kilobytes, whereas our human DNA stores about 1.6 gigabytes, comparable to a downloaded movie. As mentioned in the last chapter, our brains store much more information than our genes: in the ballpark of 10 gigabytes electrically (specifying which of your 100 billion neurons are firing at any one time) and 100 terabytes chemically/biologically (specifying how strongly different neurons are linked by synapses). Comparing these numbers with the machine memories shows that the world’s best computers can now out-remember any biological system—at a cost that’s rapidly dropping and was a few thousand dollars in 2016.

Specifically, they argue that digital technology drives inequality in three different ways. First, by replacing old jobs with ones requiring more skills, technology has rewarded the educated: since the mid-1970s, salaries rose about 25% for those with graduate degrees while the average high school dropout took a 30% pay cut.45 Second, they claim that since the year 2000, an ever-larger share of corporate income has gone to those who own the companies as opposed to those who work there—and that as long as automation continues, we should expect those who own the machines to take a growing fraction of the pie. This edge of capital over labor may be particularly important for the growing digital economy, which tech visionary Nicholas Negroponte defines as moving bits, not atoms. Now that everything from books to movies and tax preparation tools has gone digital, additional copies can be sold worldwide at essentially zero cost, without hiring additional employees. This allows most of the revenue to go to investors rather than workers, and helps explain why, even though the combined revenues of Detroit’s “Big 3” (GM, Ford and Chrysler) in 1990 were almost identical to those of Silicon Valley’s “Big 3” (Google, Apple, Facebook) in 2014, the latter had nine times fewer employees and were worth thirty times more on the stock market.47 Figure 3.5: How the economy has grown average income over the past century, and what fraction of this income has gone to different groups. Before the 1970s, rich and poor are seen to all be getting better off in lockstep, after which most of the gains have gone to the top 1% while the bottom 90% have on average gained close to nothing.46 The amounts have been inflation-corrected to year-2017 dollars. Third, Erik and collaborators argue that the digital economy often benefits superstars over everyone else.

Scenarios where humans can survive and defeat AIs have been popularized by unrealistic Hollywood movies such as the Terminator series, where the AIs aren’t significantly smarter than humans. When the intelligence differential is large enough, you get not a battle but a slaughter. So far, we humans have driven eight out of eleven elephant species extinct, and killed off the vast majority of the remaining three. If all world governments made a coordinated effort to exterminate the remaining elephants, it would be relatively quick and easy. I think we can confidently rest assured that if a superintelligent AI decides to exterminate humanity, it will be even quicker.

This ability of Life 2.0 to design its software enables it to be much smarter than Life 1.0. High intelligence requires both lots of hardware (made of atoms) and lots of software (made of bits). The fact that most of our human hardware is added after birth (through growth) is useful, since our ultimate size isn’t limited by the width of our mom’s birth canal. In the same way, the fact that most of our human software is added after birth (through learning) is useful, since our ultimate intelligence isn’t limited by how much information can be transmitted to us at conception via our DNA, 1.0-style. I weigh about twenty-five times more than when I was born, and the synaptic connections that link the neurons in my brain can store about a hundred thousand times more information than the DNA that I was born with. Your synapses store all your knowledge and skills as roughly 100 terabytes’ worth of information, while your DNA stores merely about a gigabyte, barely enough to store a single movie download. So it’s physically impossible for an infant to be born speaking perfect English and ready to ace her college entrance exams: there’s no way the information could have been preloaded into her brain, since the main information module she got from her parents (her DNA) lacks sufficient information-storage capacity.

I was also interested in the idea of emotional relationships between humans and AIs, and I don’t mean humans becoming infatuated with sex robots. Sex isn’t what makes a relationship real; the willingness to expend effort maintaining it is. Some lovers break up with each other the first time they have a big argument; some parents do as little for their children as they can get away with; some pet owners ignore their pets whenever they become inconvenient. In all of those cases, the people are unwilling to make an effort. Having a real relationship, whether with a lover or a child or a pet, requires that you be willing to balance the other party’s wants and needs with your own. I’ve read stories in which people argue that AIs deserve legal rights, but in focusing on the big philosophical question, there’s a mundane reality that these stories gloss over. It’s similar to the way movies always depict love in terms of grand romantic gestures when, over the long term, love also means working through money problems and picking dirty laundry off the floor. So while achieving legal rights for AIs would be a major step, another milestone that would be just as important is people putting real effort into their individual relationships with