Robot And Frank Quotes

We've searched our database for all the quotes and captions related to Robot And Frank. Here they are! All 11 of them:

Drop out of school before your mind rots from exposure to our mediocre educational system. Forget about the Senior Prom and go to the library and educate yourself if you've got any guts. Some of you like Pep rallies and plastic robots who tell you what to read.
Frank Zappa
Watson,” says Frank, “experiment time. Could you go into the kitchen and get one balloon, two packets of salt, three packets of pepper, and one plastic spoon?” “That sounds about as scientific as . . . my peashooter,” says Watson, heading for the kitchen as Frank and the robots finish cleaning up the lab. Watson returns with the experiment supplies. “I can’t wait to see what you make with this.” Frank rips open the salt and pepper packets and dumps everything into one pile on the table. He blows up the balloon. “Rub this on your head, Watson.” Watson rubs the balloon on his head. “Oh, this is much more scientific.” “Just watch,” says Frank. “Now put the balloon over the salt and pepper.” Watson moves the balloon. The positively charged, lighter pieces of pepper separate from the heavier pieces of salt and stick to the balloon. “Wireless,” says Frank. “And cheap. Now watch this.” Frank rubs the plastic spoon on Watson’s sweater. He turns the water on in the lab sink so that a small, steady stream flows out. “Observe.” Frank puts the spoon near the water column. “No way!” says Watson. “The water is bending toward the spoon!” Klink beeps, “In both cases, extra negative charge caused by gathering electrons . . . attracts positively charged pepper pieces and water stream.
Jon Scieszka (Frank Einstein and the Electro-Finger (Frank Einstein series #2): Book Two (Frank Einstein and the Antimatter Motor))
Manual control, please.” “Are you sure, Frank?” “Quite sure, 'Falcon' ... Thank you.” Illogical though it seemed, most of the human race had found it impossible not to be polite to its artificial children, however simpleminded they might be. Whole volumes of psychology, as well as popular guides ('How Not to Hurt Your Computer's Feelings'; 'Artificial Intelligence -- Real Irritation' were some of the best-known titles) had been written on the subject of Man-Machine etiquette. Long ago it had been decided that, however inconsequential rudeness to robots might appear to be, it should be discouraged. All too easily, it could spread to human relationships as well.
Arthur C. Clarke (3001: The Final Odyssey)
En 2004, el profesor Frank Levy del MIT y el profesor Richard Murnane de Harvard publicaron un exhaustivo trabajo sobre el mercado laboral en el que se listaban aquellas profesiones que con mayor probabilidad experimentarían automatización. Se ponía el ejemplo de los conductores de camiones como un puesto de trabajo que posiblemente no podría automatizarse en un futuro próximo. Es difícil imaginar, escribieron, que los algoritmos puedan conducir camiones con seguridad en una carretera con mucho tráfico. Solo diez años después, Google y Tesla no solo lo imaginan, sino que lo están haciendo.[15] De hecho, a medida que pasa el tiempo, resulta cada vez más fácil sustituir a los humanos con algoritmos informáticos, no solo porque los algoritmos son cada vez más inteligentes, sino también porque los humanos se profesionalizan. Los antiguos cazadores-recolectores dominaban una amplia variedad de habilidades para sobrevivir, razón por la que sería inmensamente difícil diseñar un cazador-recolector robótico. Dicho robot tendría que saber hacer puntas de lanza a partir de pedernales, encontrar setas comestibles en un bosque, seguir la pista de un mamut, coordinar un ataque con una docena de cazadores más y después utilizar hierbas medicinales para curar las posibles heridas.
Yuval Noah Harari (Homo Deus: Breve historia del mañana)
also sounds like we were being judgmental, correct again. In 1 Peter 4:17, we read that “judgment must begin at the house of God.” People who care about modern Christianity should consider that a time for such introspection and judgment is long overdue. We are in a battle—a spiritual war for the minds and souls of a generation—and frankly, the time has come for new Martin Luthers to nail their theses on some institution doors where echon daimonion may have become so deeply entrenched as to have literally forged the latter-day “habitation of devils, and the hold of every foul spirit,
Thomas Horn (Forbidden Gates: How Genetics, Robotics, Artificial Intelligence, Synthetic Biology, Nanotechnology, and Human Enhancement Herald The Dawn Of TechnoDimensional Spiritual Warfare)
They’re working on a third Peptide Nucleic Acid (pna) strand—a synthetic hybrid of protein and dna—to upgrade humanity’s two existing dna strands from double helix to triple. In so doing, these scientists “dream of synthesizing life that is utterly alien to this world—both to better understand the minimum components required for life (as part of the quest to uncover the essence of life and how life originated on earth) and, frankly,
Thomas Horn (Forbidden Gates: How Genetics, Robotics, Artificial Intelligence, Synthetic Biology, Nanotechnology, and Human Enhancement Herald The Dawn Of TechnoDimensional Spiritual Warfare)
How can you reconcile the two clashing halves of the conservative mind? By believing in bias, that’s how. Alone among the many, many businesses of the world, the backlash thinkers insist, the culture industry does not respond to market forces. It does the ugly things that it does because it is honeycombed with robotic, alien liberals, trying to drip their corrosive liberalism into our ears. Liberal bias exists because it must exist in order for the rest of contemporary conservatism to be true. As in Saint Anselm’s proof of the existence of God, which flummoxed generations of our ancestors, it simply cannot be any other way. Bias has to be; therefore it is.
Thomas Frank (What's the Matter With Kansas?: How Conservatives Won the Heart of America)
P2 - We are well on the way in a number of areas. Both billionaires and big Pharma are getting increasingly interested and money is starting to pour into research because it is clear we can see the light at the end of the tunnel which to investors equates to return on investment. Numerous factors will drive things forward and interest and awareness is increasing rapidly among both scientists, researchers and the general population as well as wealthy philanthropists. The greatest driving force of all is that the baby boomers are aging and this will place increasing demands on healthcare systems. Keep in mind that the average person costs more in medical expenditure in the last year of their life than all the other years put together. Also, the number of workers is declining in most developed countries which means that we need to keep the existing population working and productive as long as possible. Below are a list which are basically all technologies potentially leading to radical life extension with number 5 highlighted which I assume might well be possible in the second half of the century: 1. Biotechnology - e.g stem cell therapies, enhanced autophagy, pharmaceuticals, immunotherapies, etc 2. Nanotechnology - Methods of repairing the body at a cellular and molecular level such as nanobots. 3. Robotics - This could lead to the replacement of increasing numbers of body parts and tends to go hand in hand with AI and whole brain emulation. It can be argued that this is not life extension and that it is a path toward becoming a Cyborg but I don’t share that view because even today we don’t view a quadriplegic as less human if he has four bionic limbs and this will hold true as our technology progresses. 4. Gene Therapies - These could be classified under the first category but I prefer to look at it separately as it could impact the function of the body in very dramatic ways which would suppress genes that negatively impact us and enhance genes which increase our tendency toward longer and healthier lives. 5. Whole brain emulation and mindscaping - This is in effect mind transfer to a non biological host although it could equally apply to uploading the brain to a new biological brain created via tissue engineering this has the drawback that if the original brain continues to exist the second brain would have a separate existence in other words whilst you are identical at the time of upload increasing divergence over time will be inevitable but it means the consciousness could never die provided it is appropriately backed up. So what is the chance of success with any of these? My answer is that in order for us to fail to achieve radical life extension by the middle of the century requires that all of the above technologies must also fail to progress which simply won't happen and considering the current rate of development which is accelerating exponentially and then factoring in that only one or two of the above are needed to achieve life extension (although the end results would differ greatly) frankly I can’t see how we can fail to make enough progress within 10-20 years to add at least 20 to 30 years to current life expectancy from which point progress will rapidly accelerate due to increased funding turning aging at the very least into a manageable albeit a chronic incurable condition until the turn of the 22nd century. We must also factor in that there is also a possibility that we could find a faster route if a few more technologies like CRISPR were to be developed. Were that to happen things could move forward very rapidly. In the short term I'm confident that we will achieve significant positive results within a year or two in research on mice and that the knowledge acquired will then be transferred to humans within around a decade. According to ADG, a dystopian version of the post-aging world like in the film 'In Time' not plausible in the real world: "If you CAREFULLY watch just the first
Aubrey de Grey
Isaac Asimov’s short story “The Fun They Had” describes a school of the future that uses advanced technology to revolutionize the educational experience, enhancing individualized learning and providing students with personalized instruction and robot teachers. Such science fiction has gone on to inspire very real innovation. In a 1984 Newsweek interview, Apple’s co-founder Steve Jobs predicted computers were going to be a bicycle for our minds, extending our capabilities, knowledge, and creativity, much the way a ten-speed amplifies our physical abilities. For decades, we have been fascinated by the idea that we can use computers to help educate people. What connects these science fiction narratives is that they all imagined computers might eventually emulate what we view as intelligence. Real-life researchers have been working for more than sixty years to make this AI vision a reality. In 1962, the checkers master Robert Nealey played the game against an IBM 7094 computer, and the computer beat him. A few years prior, in 1957, the psychologist Frank Rosenblatt created Perceptron, the first artificial neural network, a computer simulation of a collection of neurons and synapses trained to perform certain tasks. In the decades following such innovations in early AI, we had the computation power to tackle systems only as complex as the brain of an earthworm or insect. We also had limited techniques and data to train these networks. The technology has come a long way in the ensuing decades, driving some of the most common products and apps today, from the recommendation engines on movie streaming services to voice-controlled personal assistants such as Siri and Alexa. AI has gotten so good at mimicking human behavior that oftentimes we cannot distinguish between human and machine responses. Meanwhile, not only has the computation power developed enough to tackle systems approaching the complexity of the human brain, but there have been significant breakthroughs in structuring and training these neural networks.
Salman Khan (Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing))
JIHAD, BUTLERIAN: (see also Great Revolt)-the crusade against computers, thinking machines, and conscious robots begun in 201 B.G. and concluded in 108 B.G. Its chief commandment remains in the O.C. Bible as "Thou shalt not make a machine in the likeness of a human mind.
Frank Herbert (Dune (Dune, #1))
Commentators, journalists, and, on exceptionally clear days, their audiences are beginning to wonder why it is that with fatal environmental problems bearing down upon us, with global warming threatening agriculture and our minimal ability to feed ourselves, the rich and powerful aren’t more actively attempting to remedy the situation. Worse, why do they so often seem to want to do just the opposite of what is required? This question is easy to answer if we understand the psychology of the capitalist. Easy and disturbing. The logic of capitalism acknowledges that there will be destructive consequences for its activities. Economists even have a name for it: negative externality. This is also known as “externalizing cost” when it comes time for somebody other than the perpetrator to pay for the damage. It is a secular form of what the generals call “collateral damage,” which means that the wrong person got blown up. Or, as one might say, “We didn’t mean to pollute the river with coal ash. We were only pursuing private prosperity and personal happiness. In the meantime, we’re glad to have someone else pay to fix it.” But what do you do when it’s not a river - when it’s a whole world that has been trashed? Are taxpayers going to have to pay for a new planet? So the oligarchs and their minions, the so-called 1 percent, aren’t missing anything. They’re not stupid. If they choose to do nothing about looming global catastrophe, it is because they don’t want to do anything. And they do not want to do anything because the threat of destruction is, frankly, not persuasive to them. Those who benefit from capitalism understand that it has always depended on suffering, and they have confidence that if someone is to suffer it won’t be them. “Let the songbirds suffer in my place,” they say. “Or those fucking - what do they call ‘em - manatees. There’s only about ten of them left anyway. And, we admit, the miscellaneous poor will suffer, here and in those faraway countries, but why shouldn’t they suffer? Look at them! They’re rather good at it. Besides, the humans could use a little downsizing.” Pereat mundus, dum ego salvus sim!
Curtis White (We, Robots: Staying Human in the Age of Big Data)