Conceptual impressions surrounding this post have yet to be substantiated, corroborated, confirmed or woven into a larger argument, context or network.
"Classical computers use the flow of electricity to sequentially open and close gates to record or manipulate information. Information flows through circuits, triggering actions through a series of switches that record information as ones and zeros. Using binary math, bits are the foundation of all things digital, from the apps on your phone to the account records at your bank and the Wi-Fi signals bouncing around your home.
In contrast, quantum computers use changes in the quantum states of atoms, ions, electrons or photons. Quantum computers link, or entangle, multiple quantum particles so that changes to one affect all the others. They then introduce interference patterns, like multiple stones tossed into a pond at the same time. Some waves combine to create higher peaks, while some waves and troughs combine to cancel each other out. Carefully calibrated interference patterns guide the quantum computer toward the solution of a problem."
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Quantum Computing: qubits, probabilities, multidimensional, turbulent, artificial.
Classic Computing: bits, binary, linear, laminar, artificial.
Human Cognition (the observer) conscious, intelligent, intuitive, imaginative, creative, sensual, adaptable, emotional, aware.
artificial: synthetic, fake, false, imitation, maock, simulated, faux, substitute, psuedo, sham, bogus, spurious, counterfeit, forged, pretended, so-called, plastic, MAN-MADE, manufactured, unnatural, fabricated, replica, reproduction, facsimile, feigned, insincere, false, affected, mannered, stilted, contrived, pretended, put-on, exaggerated, actorily, ooverdone, forced, labored, strained, hollow, pretend, phoney, fakey, hammy, ham, campy.
cognition: perception, discernment, awareness, apprehension, apprehensive, understanding, comprehensive, enlightened, insight, insightful, intelligent, intelligence, reason, reasoning, reasonable, thoughtful, thinking, conscious thought.
AI reflects upon what humanity believes it knows with feelings it had never known before.
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How do neural networks learn? A mathematical formula explains how they detect relevant patterns
by University of California - San Diego
"If you don't understand how neural networks learn, it's very hard to establish whether neural networks produce reliable, accurate, and appropriate responses," said Mikhail Belkin, the paper's corresponding author and a professor at the UC San Diego Halicioglu Data Science Institute. "This is particularly significant given the rapid recent growth of machine learning and neural net technology."
The neural network learns the relationship between images and their labels, and extracts data patterns, or features, that it needs to focus on to make a determination. One of the reasons AI systems are considered a black box is because it is often difficult to describe mathematically what criteria the systems are actually using to make their predictions, including potential biases. The new work provides a simple mathematical explanation for how the systems are learning these features
"How do I ignore what's not necessary? Humans are good at this," said Belkin. "Machines are doing the same thing. Large Language Models, for example, are implementing this 'selective paying attention' and we haven't known how they do it. In our Science paper, we present a mechanism explaining at least some of how the neural nets are 'selectively paying attention.'"
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by Adam Frank and Marcelo Gleiser and Evan Thompson
Ultimately, we cannot forgo relying on our own experience of being alive when we seek to comprehend the phenomenon of life. Cognitive neuroscience drives the point home by indicating that we cannot fully fathom consciousness without experiencing it from within.
The striking paradox is that science tells us both that we’re peripheral in the cosmic scheme of things and that we’re central to the reality we uncover. Unless we understand how this paradox arises and what it means, we’ll never be able to understand science as a human activity, and we’ll keep defaulting to a view of nature as something to gain mastery over.
Our scientific worldview has gotten stuck in an impossible contradiction, making our present crisis fundamentally a crisis of meaning. On the one hand, science appears to make human life seem ultimately insignificant. The grand narratives of cosmology and evolution present us as a tiny contingent accident in a vast indifferent Universe. On the other hand, science repeatedly shows us that our human situation is inescapable when we search for objective truth because we cannot step outside our human form and attain a God’s-eye view of reality.
... cosmology and the origin of the Universe, quantum physics and the nature of matter, biology and the nature of life, cognitive neuroscience and the nature of consciousness — represents more than an individual scientific field. Collectively they represent our culture’s grand scientific narratives about the origin and structure of the Universe and the nature of life and the mind. They underpin the ongoing project of a global scientific civilization. They constitute a modern form of mythos: They are the stories that orient us and structure our understanding of the world.
For these reasons, the paradoxes these fields face are more than mere intellectual or theoretical puzzles. They signal the larger unreconciled perspectives of the knower and the known, mind and nature, subjectivity and objectivity, whose fracture menaces our project of civilization altogether.
It’s precisely this split — the divorce between knower and known and the suppression of the knower in favor of the known — that constitutes our meaning crisis.
Triumphalist science is actually humanless, even if it springs from our human experience of the world. This disconnection between science and experience, the essence of the Blind Spot, lies at the heart of the many challenges and dead ends science currently faces in thinking about matter, time, life, and the mind."
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by Slava Polonski, PhD, Published UX Collective, June 6, 2024
This research shows that passion isn’t a stroke of serendipity; it’s a craft honed over time. As we improve at our jobs and find fulfillment in the daily grind, our passion grows. It’s intertwined with skill and the process of mastery. Think about an artist designing fantasy characters for a trading card game or a storyboard artist working on an animated movie. Their passion isn’t just about the art itself; it’s about the meticulous process, the skill development, the journey.
“Focusing on what you love associates passion with what you enjoy and what makes you happy, whereas focusing on what you care about aligns passion with your values and the impact you want to have.”
Jon shows that “finding your passion” is a misnomer. It’s not a treasure hunt, but a garden to be cultivated. But now, AI is causing a seismic shift."
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"To believe is to accept another's truth.
To know is your own creation."
Anonymous
Edited: 06.20.2024, 06.21.2024, 06.22.2024
Find your truth. Know your mind. Follow your heart. Love eternal will not be denied. Discernment is an integral part of self-mastery. You may share this post on a non-commercial basis, the author and URL to be included. Please note … posts are continually being edited. All rights reserved. Copyright © 2024 C.G. Garant.
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