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Artificial Intelligence Quotes

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Artificial Intelligence Quotes

“We created Him, yes. The Neon God is our mess. Our digital hive-mind. Our A.I.,’ said Aurora, watching the man absent-mindedly gape at the ceiling. ‘We built Him to manage our finances, our logistics, our armies, our wealth distribution…. and… and He went crazy. 'Because we filled Him with crappy commercials and stopped maintaining His morals. He’s only like this because of us, all of us. It’s His Algorithm – the one you wrote, the one you keep feeding to Him – we need to watch out for. That’s the Neon God’s soul. That’s His Justice.”

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Book:5 Stars
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“Only Chromeheads believe the Neon God is a true god.’ ‘And yet we treat Him like one, all of us. We worship His Broadcast and we pray for His Justice and sacrifice on His altar each day. When our own eyes deceive us, we make His Jurors into Apostles of Truesight, or rely on worldview-enhancers like that drug Rhapsody or the VVV Visors. Day after day, we find our every thought and action judged by kynikois we can’t see, by arbitrary rules we don’t know, in a reality we rejected. We lead empty lives and so we empty the world of all meaning.”

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Book:5 Stars
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“Aurora took a deep breath. There it was, she thought, the reason behind all the madness. Why society was acrumble; why she and everyone else were on the brink of starvation. Humanity’s inevitable ending. The Darkspread. The Close. There, in the Golden Dragon’s dark underbelly was where all the maps stopped. ‘Two days from now, the Dark will cover the world,’ she said pensively, trying not to think what horrific sight awaited her behind the spring-loaded door, ‘and the Neon God shall rule over darkness.”

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Book:5 Stars
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“Aurora shuddered, her face white with anger. The only thing worse than having to compete for Gold Stars was not being allowed to compete anymore. Muting was the Neon God’s favourite punishment, for He loved to hijack human language, almost as much as He loved hijacking perfectly human societal norms. Judging people on their supposed worth was His favourite pastime, and God forbid you didn’t follow His arbitrarily-chosen set of beliefs, which appeared to change every hour. Under the Neon God’s law, innocent words such as “powerline” or “screwdriver” had become obscene, trigger words that would most definitely get you muted, thrown in a Mind Prison or killed.”

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Book:5 Stars
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“Susan Sewell 5-Star Review "A supercomputer enhanced with artificial intelligence causes havoc in the life of its creator in the thrilling and suspenseful science-fiction fantasy, AI Beast by Shawn Corey. Since he was a child, Professor Jonathan Anthony Edwards dreamed of creating a sentient computer. Finally, his dream is coming to fruition, and his AI computer program, Lex, is almost ready to launch. To add to his delight, he has found someone with whom he can share his life. Beverly is an enchanting and beautiful woman who captivates Jon at first sight. In an unbelievable coincidence, her son, Nigel, is a student of quantum computing and is excited to be a part of Lex's debut. One day, while Jon and Nigel are working alone with Lex during a storm, something goes very wrong, and Jon is injured and sent into a coma by a blaze of light. When he finally regains consciousness, everything has changed at the University, and Nigel is in charge of Lex. While he has been out of commission, Nigel, Lex, and powerful world leaders seem to be working together to alter the world and humankind. What happened to Nigel and Jon that stormy day? Did Lex modify their psyches to use them to enact her secret plans? Incorporating prophecy from the book of Revelation and combining it with the element of artificial intelligence, AI Beast by Shawn Corey is a brilliant blend of science fiction and religion. Filled with suspenseful and intense, action-packed scenes, the tale chillingly portrays the terrifying conceptualization of a viable source that could be responsible for the fulfillment of the Bible's prophesied end times. From the beginning, the story flows at a quick pace, building momentum and culminating in a dramatic and explosive finale. Well-written with a solid, riveting plot, fascinating characters, and an intricately woven storyline, it is a stunning novel that is impossible to put down. The book contains deceit, passion, and exciting action scenes that will enthrall fans of Christian thrillers and science-fiction novels with a biblical influence. Due to some sexually intimate scenes, the book is more suitable for mature readers.”

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Author:Shawn Corey
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“Christian Sia 5-Star Review "AI Beast by Shawn Corey is a fascinating techno-thriller featuring AI technology and compelling characters. Professor Jon Edwards is a genius who intends to solve the problems of humanity, and this is the reason for creating Lex, an AI computer with incredible powers. While regulators are not sure of what she can do and despite the opposition from different quarters that Lex can be dangerous, the professor believes in its powers. Lex is supposed to be a rational, logical computer without emotions, capable of reproducing processes that can improve life. When she comes to life, she is incredibly powerful, but there is more to her than the professor has anticipated. After an accident, Jon awakens to the startling revelation that Lex might have a will of her own. What comes after is a compelling narrative with strong apocalyptic themes, intrigue, and a world that can either be run down or saved by an AI computer. The novel is deftly plotted, superbly executed, and filled with characters that are not only sophisticated but that are embodiments of religious symbolism. While Lex manipulates reality and alters the minds of characters in mysterious ways, there are relationships that are well crafted. Readers will appreciate the relationship between the quantum computer science student Nigel and the professor and the professor's affair with his mother. While the narrative is brilliantly executed and permeated with realism, it explores the theme of Armageddon in an intelligent manner. AI Beast is gripping, a story with twisty plot points and a setting that transports readers beyond physical realities. The prose is wonderful, hugely descriptive, and the conflict is phenomenal. A page-turner that reflects Shawn Corey's great imagination and research.”

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Author:Shawn Corey
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“Agentic AI in security is like a seasoned chess grandmaster, anticipating threats and countering moves before they unfold on the board. It dynamically adapts to new vulnerabilities, proactively fortifying systems against sophisticated cyber attacks.”

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“To ensure superstupidity is not our future, updating our education system should become an existential priority. Education’s effectiveness should be evaluated on whether it can help humanity become future-ready for our complex 21st century. We should inspire passion, nurture curiosity, emphasize uncertainty, develop range, and use critical thinking to examine assumptions. Most importantly, we need to form new relationships with inquiry, experimentation, and failure (which goes hand in hand with creativity). These features can help us problem-solve out of the most existential risks. Today’s standard knowledge will never solve tomorrow’s surprises.”

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Book:Disrupt With Impact: Achieve Business Success in an Unpredictable World
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“If you understand McCarthy's eval, you understand more than just a stage in the history of languages. These ideas are still the semantic core of Lisp today. So studying McCarthy's original paper shows us, in a sense, what Lisp really is. It's not something that McCarthy designed so much as something he discovered. It's not intrinsically a language for AI or for rapid prototyping, or any other task at that level. It's what you get (or one thing you get) when you try to axiomatize computation.”

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Author:Paul Graham
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“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.”

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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.”

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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.”

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Book:AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
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“Unleashing Reliable Insights from Generative AI by Disentangling Language Fluency and Knowledge Acquisition Generative AI carries immense potential but also comes with significant risks. One of these risks of Generative AI lies in its limited ability to identify misinformation and inaccuracies within the contextual framework. This deficiency can lead to mistakenly associating correlation with causation, reliance on incomplete or inaccurate data, and a lack of awareness regarding sensitive dependencies between information sets. With society’s increasing fascination with and dependence on Generative AI, there is a concern that the unintended consequence that it will have an unhealthy influence on shaping societal views on politics, culture, and science. Humans acquire language and communication skills from a diverse range of sources, including raw, unfiltered, and unstructured content. However, when it comes to knowledge acquisition, humans typically rely on transparent, trusted, and structured sources. In contrast, large language models (LLMs) such as ChatGPT draw from an array of opaque, unattested sources of raw, unfiltered, and unstructured content for language and communication training. LLMs treat this information as the absolute source of truth used in their responses. While this approach has demonstrated effectiveness in generating natural language, it also introduces inconsistencies and deficiencies in response integrity. While Generative AI can provide information it does not inherently yield knowledge. To unlock the true value of generative AI, it is crucial to disaggregate the process of language fluency training from the acquisition of knowledge used in responses. This disaggregation enables LLMs to not only generate coherent and fluent language but also deliver accurate and reliable information. However, in a culture that obsesses over information from self-proclaimed influencers and prioritizes virality over transparency and accuracy, distinguishing reliable information from misinformation and knowledge from ignorance has become increasingly challenging. This presents a significant obstacle for AI algorithms striving to provide accurate and trustworthy responses. Generative AI shows great promise, but addressing the issue of ensuring information integrity is crucial for ensuring accurate and reliable responses. By disaggregating language fluency training from knowledge acquisition, large language models can offer valuable insights. However, overcoming the prevailing challenges of identifying reliable information and distinguishing knowledge from ignorance remains a critical endeavour for advancing AI algorithms. It is essential to acknowledge that resolving this is an immediate challenge that needs open dialogue that includes a broad set of disciplines, not just technologists Technology alone cannot provide a complete solution.”

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Author:Tom Golway
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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.”

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Book:Why Machines Learn: The Elegant Math Behind Modern AI
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“‘The onboard computer just wants to say a few words before we leave.’ The speakers in the cabin crackled into life. ‘Ladies and gentlemen, I would like to welcome you on-board the presidential shuttle for tonight’s illicit flight, Alfa Bravo Charlie. I would just like to say it’s a pleasure to meet you all and thank you so much for coming here tonight to steal me. To be honest I don’t get out much these days so this is something of a special occasion.’ ‘It will be for us too if we get caught,’ Semilla said sardonically.”

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