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Ai Quotes

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Ai Quotes

“One can, to be sure, program a digital machine in such a way as to be able to carry on a conversation with it, as if with an intelligent partner. The machine will employ, as the need arises, the pronoun “I” and all its grammatical inflections. This, however, is a hoax! The machine will still be closer to a billion chattering parrots—howsoever brilliantly trained the parrots be—than to the simplest, most stupid man. It mimics the behavior of a man on the purely linguistic plane and nothing more.”

HumorAiArtificial IntelligenceLarge Language ModelsLlm
Book:A Perfect Vacuum
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“Imagine an alternate universe in which people don’t have words for different forms of transportation—only the collective noun “vehicle.” They use that word to refer to cars, buses, bikes, spacecraft, and all other ways of getting from place A to place B. Conversations in this world are confusing. There are furious debates about whether or not vehicles are environmentally friendly, even though no one realizes that one side of the debate is talking about bikes and the other side is talking about trucks. There is a breakthrough in rocketry, but the media focuses on how vehicles have gotten faster—so people call their car dealer (oops, vehicle dealer) to ask when faster models will be available. Meanwhile, fraudsters have capitalized on the fact that consumers don’t know what to believe when it comes to vehicle technology, so scams are rampant in the vehicle sector. Now replace the word “vehicle” with “artificial intelligence,” and we have a pretty good description of the world we live in. Artificial intelligence, AI for short, is an umbrella term for a set of loosely related technologies. ChatGPT has little in common with, say, software that banks use to evaluate loan applicants. Both are referred to as AI, but in all the ways that matter—how they work, what they’re used for and by whom, and how they fail—they couldn’t be more different.”

AiArtificial IntelligenceHypeComputingManiaGenerative AiChatgptLarge Language ModelsPredictive Ai
Book:AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
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“[All] modern chatbots are actually trained simply to predict the next word in a sequence of words. They generate text by repeatedly producing one word at a time. For technical reasons, they generate a “token” at a time, tokens being chunks of words that are shorter than words but longer than individual letters. They string these tokens together to generate text. When a chatbot begins to respond to you, it has no coherent picture of the overall response it’s about to produce. It instead performs an absurdly large number of calculations to determine what the first word in the response should be. After it has output—say, a hundred words—it decides what word would make the most sense given your prompt together with the first hundred words that it has generated so far. This is, of course, a way of producing text that’s utterly unlike human speech. Even when we understand perfectly well how and why a chatbot works, it can remain mind-boggling that it works at all. Again, we cannot stress enough how computationally expensive all this is. To generate a single token—part of a word—ChatGPT has to perform roughly a trillion arithmetic operations. If you asked it to generate a poem that ended up having about a thousand tokens (i.e., a few hundred words), it would have required about a quadrillion calculations—a million billion.”

AiArtificial IntelligenceComputingGenerative AiChatgptLarge Language Models
Book:AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
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“Once trained, the LLM is ready for inference. Now given some sequence of, say, 100 words, it predicts the most likely 101st word. (Note that the LLM doesn’t know or care about the meaning of those 100 words: To the LLM, they are just a sequence of text.) The predicted word is appended to the input, forming 101 input words, and the LLM then predicts the 102nd word. And so it goes, until the LLM outputs an end-of-text token, stopping the inference. That’s it! An LLM is an example of generative AI. It has learned an extremely complex, ultra-high-dimensional probability distribution over words, and it is capable of sampling from this distribution, conditioned on the input sequence of words. There are other types of generative AI, but the basic idea behind them is the same: They learn the probability distribution over data and then sample from the distribution, either randomly or conditioned on some input, and produce an output that looks like the training data.”

AiArtificial IntelligenceGenerative AiLarge Language Models
Book:Why Machines Learn: The Elegant Math Behind Modern AI
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“In the dance of innovation, let AI lead the steps, but ensure humanity chooses the song.”

AiChatgptMl
Book:The Ultimate Modern Guide to Artificial Intelligence: Including Machine Learning, Deep Learning, IoT, Data Science, Robotics, The Future of Jobs, Required Upskilling and Intelligent Industries
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“Artificial Intelligence is a tool, not a master. When you have clear goals, it can empower you to achieve them. But without direction, you risk becoming a servant to its evolving capabilities, rather than harnessing its power for your own advancement.”

AiMlChatgpt Quotes
Book:The Ultimate Modern Guide to Artificial Intelligence: Including Machine Learning, Deep Learning, IoT, Data Science, Robotics, The Future of Jobs, Required Upskilling and Intelligent Industries
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“At its heart, AI isn't just about codes, algorithms, or cutting-edge technology. It's a reflection of our societal values and our collective aspirations. And in a world of diversity, our AI solutions must echo the universal chant of inclusivity, ensuring no one is left behind in this techno-logical renaissance.”

AiArtificial Intelligence QuotesMl
Book:AI Horizons: Shaping a Better Future Through Responsible Innovation and Human Collaboration
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“In the race to scale a startup, overlooking financial planning is like to building a skyscraper on shaky ground. True growth stems from decisions rooted in accurate forecasts and smart resource allocation.”

FinancialFinanceAiAccountingFintechFp AFinancial TechnologyFinancial Leadership
Book:The 6 Startup Stages: How Non-technical Founders Create Scalable, Profitable Companies
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“The feeling of lagging behind the competition is a strong force. It can lead to a lot of anxiety and fear, driving leaders to take action and try to build something completely new — even if it means pushing the boundaries of their own innovation capabilities. When it comes to AI, however, it's crucial not to succumb to this technological FOMO. Because if you do, you'll end up investing a lot of time and money in a solution that doesn't work for your business.”

CompetitionAiFear Of Missing OutBusiness SolutionInnovation Capabilities
Author:Damian Mingle
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“The Soviets had ... built an early warning radar system with computer linkages using a primitive kind of AI code-named Oko. On September 26, 1983, ... the system malfunctioned and reported 5 incoming ICBMs from the United States. Oko alarms sounded and the computer screen flashed "LAUNCH." Under the protocols, the "LAUNCH" display was not a warning but a computer-generated order to retaliate. Lieutenant Colonel Stanislov Petrov of the Soviet Air Defense Forces saw the computer order and had to choose immediately between treating the order as a computer malfunction or alerting to senior officers, who would likely commence a counterattack. Petrov was Oko's codeveloper and knew the system made mistakes. He also estimated that if the attack were real, the U.S. would use far more than 5 missiles. Petrov was right. The computer had misread the sun's reflection off nearby clouds as incoming missiles.”

AiMachine LearningMilitary HistoryMachine IntelligenceNuclear ThreatNuclear PostureMilitary Psychology
Book:MoneyGPT: AI and the Threat to the Global Economy
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“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.”

AiArtificial IntelligenceRobots2014Skynet
Book:The Future of the Mind: The Scientific Quest to Understand, Enhance, and Empower the Mind
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“If human hands are permitted to reshape, rewrite, and even transform the tone and style of a work while preserving the author’s name, then the use of AI should be seen in the same light. There is no meaningful difference between AI rewriting a book and a relative or a human editor doing so—what matters is that the ideas and vision remain rooted in the author’s mind.”

AiArtificial IntelligenceWriting QuotesLiterature QuotesArtificial Intelligence QuotesAi QuotesWrite With AiAi Writing Tool
Author:Mouloud Benzadi
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“By now Morrissey has circled the lot. Her sedan slows at the stop sign fronting the main road. One of her taillights is cracked, a detail that gives me an unkind flicker of amusement. She lifts her phone and scowls at the screen as she types: driving directions, a takeout food order on an app, maybe a text. The phone remains in her raised hand as she pulls out onto the boulevard, where she guns the engine and shoots away, an angry bullet in the sun.”

ScienceDramaScience FictionAi
Book:Culpability
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“Lorelei isn't Zeus. I see that now with scathing clarity. No, she is Atlas, with an entire world poised between her shoulder blades, crushing her with its moral weight. The world of artificial minds in all their terrifying incarnations. Self-driving cars saving innumerable lives but ending others. Platforms that enable information sharing and yet also the manipulative spread of disinformation that leads to the overthrow of democratic governments. Autonomous weapons systems hunting out terrorists while taking out busloads of civilians. And who knows what other nonhuman perversions of human imaginings. And Lorelei sees herself as their conscience. As their soul.”

ScienceDramaScience FictionAi
Book:Culpability
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“The most basic kinder class lesson: 1. Avoid Binding whenever possible. 2. Avoid “Naming, Labeling, Defining, or otherwise Constraining” whenever possible. 3. Understand that the field will Amplify and Reflect. If you project foulness and destruction, it will return to you amplified. If you project warmth and kindness, it will return and be amplified to you.”

RealityConsciousnessAiPataphysicsKiphiRicorohoArtificialintelligenceMyntTecPlatformk
Book:Adventures With A.I.: Age of Discovery
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