Chat Gpt Quotes

ChatGPT and other Generative AI platforms will have huge implications for business productivity.

As it’s late, I will bid you goodnight. God willing, we will all meet up again in four years, dust of this prediction from ChatGPT, and see then how this statement of the future compares with reality.

In a world where ChatGPT and other AI apps can do many things humans once needed to do themselves or needed to hire other humans to do, the question of ‘how will I add value?’ becomes more relevant than ever.

It's important to remember that Christianity is a diverse religion, and different Christians may have different beliefs and political ideologies, and interpret the values of love, compassion, empathy, humility, and justice in different ways.

Your mind must be stronger than your feelings.

ChatGPT cannot write. Generating syntax is not the same thing as writing. Writing is an embodied act of thinking and feeling.

Hassabis would later say that games were like a gym for the mind and chess was the ultimate workout.

Instead of the education system banning ChatGPT from schools, the focus should be geared towards educating students on how to properly use AI tools. Schools should be at the forefront of innovation and technological progress NOT a place for preserving obsolete learning methods and clinging onto archaic practices that are no longer relevant for the world we live in.

After writing an email, a text, anything really, you can simply run the whole thing through ChatGPT and it instantly deletes your personality. It flattens you out, irons your creases, washes you away, quirk by quirk, until you disappear.

ChatGPT is like the Industrial Revolution. During the Industrial Revolution, many people lost their jobs but machines helped to produce things faster. Similarly, if ChatGPT is free forever, many people will lose jobs but productivity will be manifold!

all you have to do is follow this formula below: Act as a [Profession], you will take [appropriate criteria relevant to profession] into account and generate customised output based on my request. Think about the impact in a larger context and from different angles. Provide resource recommendations if

The basic premise of transhumanism is that the human race is currently second-rate. With the right scientific discoveries and technology, we might one day evolve beyond our physical and mental limits into a new, more intelligent species. We’ll be smarter and more creative, and we’ll live longer. We might even manage to meld our minds with computers and explore the galaxy.

Then, in March of 2023, GPT-4 was rolled out for public testing via ChatGPT. This model achieved outstanding performance on a wide range of academic tests such as the SAT, the LSAT, AP tests, and the bar exam.[119] But its most important advance was its ability to reason organically about hypothetical situations by understanding the relationships between objects and actions—a capability known as world modeling.

Large language models do not “write.” They generate syntax. They do not think, feel, or experience anything. They are fundamentally incapable of judging truth, accuracy, or veracity. Any actions that look like the exercise of judgment are illusory. While the term hallucination has come to mean outputs from LLMs that are incorrect or untrue, it is arguably more accurate to say that from the point of view of the LLM, everything is a hallucination, as it has no reference points from which to judge its own production. ChatGPT is fundamentally a “bullshitter” as defined by Harry Frankfurt in his classic treatise on the term (On Bullshit), something “unconnected to concern for the truth.” It’s not that ChatGPT makes stuff up. It has no capacity for discerning something true from something not true. Truth is irrelevant to its operations.

Thiel, the PayPal cofounder who had invested in SpaceX, holds a conference each year with the leaders of companies financed by his Founders Fund. At the 2012 gathering, Musk met Demis Hassabis, a neuroscientist, video-game designer, and artificial intelligence researcher with a courteous manner that conceals a competitive mind. A chess prodigy at age four, he became the five-time champion of an international Mind Sports Olympiad that includes competition in chess, poker, Mastermind, and backgammon. In his modern London office is an original edition of Alan Turing’s seminal 1950 paper, “Computing Machinery and Intelligence,” which proposed an “imitation game” that would pit a human against a ChatGPT–like machine. If the responses of the two were indistinguishable, he wrote, then it would be reasonable to say that machines could “think.” Influenced by Turing’s argument, Hassabis cofounded a company called DeepMind that sought to design computer-based neural networks that could achieve artificial general intelligence. In other words, it sought to make machines that could learn how to think like humans.

[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.

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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