Artificial Intelligence Quotes

“So how did he imagine we would have known anything about them?’ Her husband asked.
Gloria smiled awkwardly. ‘They woke up this morning and have been chanting you name ever since.”
― A.R. Merrydew, The Girl with the Porcelain Lips

“Artificial Intelligence never stops for lunch. The human race will loose their place at the table very soon.”
― A.R. Merrydew

“When AI finishes taking everyone's career, nobody will be able to derive a personal identity from their job title. Then we will all be hobbyists, and I'm starting early. I am Jarod Kintz, Pickleball Historian.”
― Jarod Kintz, Powdered Saxophone Music

“AI doesn't take any breaks. Plus, AI won't file sexual harassment charges when your boss flirts with it.”
― Jarod Kintz, Powdered Saxophone Music

“Hofstadter... fears that AI might show us that the human qualities we most value are disappointingly simple to mechanize.”
― Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans

“The year following Blue Gamma’s closure involves many changes for Derek.”
― Ted Chiang, The Lifecycle of Software Objects

“Obviously you’re going to have your hands full,” says Ana, “but what do you think about adopting Lolly?” It would be fascinating to see Lolly’s reaction to a pregnancy. “No,” says Robyn, shaking her head. “I’m past digients now.” “You’re past them?” “I’m ready for the real thing, you know what I mean?” Carefully, Ana says, “I’m not sure that I do.” “People always say that we’re evolved to want babies, and I used to think that was a bunch of crap, but not anymore.” Robyn’s facial expression is one of transport; she’s no longer speaking to Ana exactly. “Cats, dogs, digients, they’re all just substitutes for what we’re supposed to be caring for. Eventually you start to understand what a baby means, what it really means, and everything changes. And then you realize that all the feelings you had before weren’t—” Robyn stops herself. “I mean, for me, it just put things in perspective.” Women who work with animals hear this all the time: that their love for animals must arise out of a sublimated child-rearing urge. Ana’s tired of the stereotype. She likes children just fine, but they’re not the standard against which all other accomplishments should be measured. Caring for animals is worthwhile in and of itself, a vocation that need offer no apologies. She wouldn’t have said the same about digients when she started at Blue Gamma, but now she realizes it might be true for them, too.”
― Ted Chiang, The Lifecycle of Software Objects

“A company called Edgeplayer markets a digient torture chamber on the Real Space platform; to avoid accusations of unauthorized copying, they use only public-domain digients as victims. The user group has agreed that once they get the Neuroblast engine ported, their conversion procedure will include full ownership verification; no Neuroblast digient will ever enter Real Space without someone committed to taking care of it.”
― Ted Chiang, The Lifecycle of Software Objects

“Marco and Polo take a reading class with Jax and a few others, and they seem to enjoy it well enough. None of the digients was raised on bedtime stories, so text doesn’t fascinate them the way it does human children, but their general curiosity—along with the praise of their owners—motivates them to explore the uses that text can be put to.”
― Ted Chiang, The Lifecycle of Software Objects

“In the playground, Jax and Marco have decided to play a new game. They both get down on all fours and begin crawling around. Jax waves to get her attention, and she walks her avatar over to him. “Ana,” he says, “you know ants talk each other?” They’ve been watching nature videos on the television. “Yes, I’ve heard that,” she says. “You know we know what they saying?” “You do?” “We talk ant language. Like this: Imp fimp deemul weetul.” Marco replies, “Beedul jeedul lomp womp.” “And what does that mean?” “Not tell you. Only we know.” “We and ants,” adds Marco. And then Jax and Marco both laugh, Mo mo mo, and Ana smiles.”
― Ted Chiang, The Lifecycle of Software Objects

“Derek’s sister teaches children born with Down syndrome. “She mentioned that some parents don’t want to push their kids too much, because they’re afraid of exposing them to the possibility of failure. The parents mean well, but they’re keeping their kids from reaching their full potential when they coddle them.” It takes her a little time to get used to this idea. Ana’s accustomed to thinking of the digients as supremely gifted apes, and while in the past people have compared apes to children with special needs, it was always more of a metaphor. To view the digients more literally as special-needs children requires a shift in perspective. “How much responsibility do you think the digients can handle?” Derek spreads his hands. “I don’t know. In a way it’s like Down syndrome; it affects every person differently, so whenever my sister works with a new kid, she has to play it by ear. We have even less to go on, because no one’s ever raised digients for this long before. If it turns out that the only thing we’re accomplishing with homework assignments is making them feel bad, then of course we’ll stop. But I don’t want Marco and Polo’s potential to be wasted because I was afraid of pushing them a little.” She sees that Derek has a very different idea of high expectations than she has. More than that, she realizes that his is actually the better one. “You’re right,” she says, after a pause. “We should see if they can do homework.”
― Ted Chiang, The Lifecycle of Software Objects

“Because even if a universe’s life span is calculable, the variety of life that is generated within it is not. The buildings we have erected, the art and music and verse we have composed, the very lives we’ve led: none of them could have been predicted, because none of them was inevitable.”
― Ted Chiang, Exhalation

“As a girl she dreamed of following Fossey and Goodall to Africa; by the time she got out of grad school, there were so few apes left that her best option was to work in a zoo; now she’s looking at a job as a trainer of virtual pets.”
― Ted Chiang, The Lifecycle of Software Objects

“They figure that affection will produce better results, and the only way trainers will feel affection for Sophonce digients is with pharmaceutical intervention.”
― Ted Chiang, The Lifecycle of Software Objects

“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”
― Ted Chiang, The Lifecycle of Software Objects

“Is it more respectful to treat him like a human being, or to accept that he isn’t one?”
― Ted Chiang, The Lifecycle of Software Objects

“Is it better for Marco to have his brain chemistry altered than for Ana to alter hers?”
― Ted Chiang, The Lifecycle of Software Objects

“teaching him, as best she can, the business of living.”
― Ted Chiang, The Lifecycle of Software Objects

“she has to get on with the job in front of her now: teaching him, as best she can, the business of living.”
― Ted Chiang, The Lifecycle of Software Objects

“Machine compassion is the silent revolution of AI, where algorithms not only solve problems but do so with a heart that beats for the well-being of humanity.”
― Amit Ray, Compassionate Artificial Superintelligence AI 5.0

“Compassionate AI concept implies that the machine not only comprehends the complexities of human suffering but actively seeks solutions that alleviate pain and contribute positively to societal welfare.”
― Amit Ray, Compassionate Artificial Superintelligence AI 5.0

“AI pilots are easy, but scaling them to get value is hard”
― Ashok Veda

“The evidence that artificial intelligence is artificially speciating is found in today's lexicon for the emerging field of AI Safety. The very concepts that currently define AI Safety - machine ethics and AI Alignment - are variations of existing artificial evolutionary concepts”
― David R Wood, On the Origin of Artificial Species: By Means of Artificial Selection

“If I can match x with y, therefore, I am conscious.”
― Joey Lawsin, The Biotronics Project

“India’s road safety challenges are complex and multifactorial, rooted in a combination of rapid urbanization, a surge in vehicular density, inadequate infrastructure, and lax enforcement of traffic regulations.”
― Shivanshu K. Srivastava

“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.”
― Abhijit Naskar, Iman Insaniyat, Mazhab Muhabbat: Pani, Agua, Water, It's All One

“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.”
― Abhijit Naskar, Iman Insaniyat, Mazhab Muhabbat: Pani, Agua, Water, It's All One

“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.”
― Abhijit Naskar, Iman Insaniyat, Mazhab Muhabbat: Pani, Agua, Water, It's All One

“If you treat the internet as a sentient being, you trust it with anything, everything, and everything in between...”
― Will Advise

“Artificial motions shall never surpass human emotions, where the seeds of humanity persist.”
― Nilantha Ilangamuwa, What I Heard