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Federico Faggin: "Quantum Fields are conscious & have free will" "You cannot create something that can know itself by something that doesn't even know what knowing means." The inventor of the first commercial microprocessor argues that consciousness cannot emerge from non-conscious matter. No mechanism can explain how awareness arises...

45,659 views • 5 days ago •via X (Twitter)

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André Duqum is a wonderful host and guide in this conversation, where we discuss the fundamental nature of reality, quantum and classical physics, self knowing, courage, love, consciousness, free will, and artificial intelligence, among other topics listed in the chapter descriptions below. As André shares from my newest book "Irreducible: Consciousness, Life, Computers, and Human Nature"... "We are eternal, conscious beings rather than perishable bodies, and we are here to learn crucial aspects of ourselves by interacting with each other in the physical universe that we have co created for this very purpose." It is with great hope that viewers of this conversation may find meaning in the ideas discussed, and encouragement to further your own self learning. - Federico Full Video 🌍👁️ Discussion Chapters👇 Intro His Spontaneous Spiritual Awakening Defining Consciousness: Classical vs Quantum View Can computers be Conscious? How Truth Transcends Theory Idealism vs Monad Theory Our Deepest Desire: To Know Ourselves Seity vs Soul Individuality & What Carries Over After Death We Are All Part of One Whole How Emotion & Meaning Impacts Reality Suffering as a Catalyst for Growth Taking Responsibility for Our Lives & Spiritual Growth The Very Real Force of Love Where Physics & Spirituality Meet Distinguishing Free Will & Unconscious Habits Reincarnation & NDEs Explained How Much We Currently Understand about Reality Shifting From the Mind to the Heart Facing the Future of Artificial Intelligence Collective Consciousness & Evil vs Good Competition vs Collaboration Are Aliens Real? Conclusion Essentia Foundation Mondadori #consciousness #freewill #quantumphysics #spirituality #selfknowing #awakening #Irreducible #federicofaggin #knowthyself #AI #existence #reality #natureofreality #mondadori

Federico Faggin

18,047 views • 1 year ago

David Chalmers on why consciousness is science's greatest unsolved problem: Science has mapped subatomic particles, distant stars, the chemistry of life yet it remains almost completely silent on the one thing we know most directly: our own conscious experience. In a rare early interview, philosopher David Chalmers explains why: "Consciousness is at once the most familiar thing in the world and the most mysterious. Consciousness is what we start with when it comes to knowing the world. I know that I exist. I know that I'm conscious. Everything else is secondary." And yet, despite this intimacy, consciousness sticks out like a sore thumb in the scientific picture. Chalmers points to a deep irony: science has made extraordinary progress on phenomena that are extraordinarily remote: subatomic particles, distant galaxies, the molecular machinery of biology while making almost no progress on the one thing closest to us. Why? Because science, by design, eliminates the subjective. "To do proper science, you have to be objective. You have to eliminate anything subjective from the picture." He uses heat as the perfect example. Physics gives us a complete account of heat molecules in motion, energy transfer, temperature gradients. It explains every objective aspect of the phenomenon. But it never explains what hotness actually feels like. "Science doesn't actually give a theory of the conscious feeling of hotness." This is what Chalmers calls the Hard Problem of Consciousness. You can trace every neural signal from your heat sensor along your nerves into your brain and still have explained nothing about the subjective experience of feeling warm. As interviewer Jeffrey Mishlove puts it: you can't even do science without a conscious mind to observe, interpret, and make meaning of data. Consciousness is the precondition for science itself and yet science has no framework to account for it. Chalmers' conclusion is striking: The methods of science may need to be expanded. Consciousness might not be something science explains away. It might be something science has to learn to start with.

Mateus — eu/acc 🇪🇺

31,628 views • 3 months ago

John Searle: consciousness cannot be an illusion and here's the argument that makes it undeniable Science has a long track record of overturning our intuitions. The table looks solid, it isn't. The sun appears to set, it doesn't. We've learned to accept that appearances deceive us, and that reality lies beneath. But philosopher John Searle argues there is exactly one domain where this move simply cannot be made: consciousness itself. "Where consciousness is concerned, you can't make the standard appearance/reality distinction that we make for the rest of the world." His logic is simple. When a scientist tells you the table isn't really solid and that it's a cloud of micro-particles, you can accept that. The appearance (solidity) and the reality (particles) are two different things, and you can hold them apart. Same with the sunset. It looks like the sun moves. It doesn't. The rotation of the Earth creates an illusion. Appearance and reality come apart and you understand the gap. Now try applying that same logic to your conscious experience. Someone claims your pain isn't really there, that your awareness is just an illusion. But here, Searle says, the distinction collapses entirely: "Where the existence of consciousness is concerned, the appearance is the reality. There's no way that some guy can come to me and convince me I'm not conscious if I think I'm conscious, I am conscious." This is a structural point about what consciousness fundamentally is. For every other phenomenon, the appearance can be explained away by pointing to what's "really" happening underneath. But consciousness is the very medium in which all appearances occur. There is no "underneath" to retreat to. To say consciousness is an illusion, you would first need to be conscious of the illusion. The argument defeats itself on contact.

Big Brain Philosophy

17,476 views • 3 months ago

It is not useful to ask whether AI has consciousness or not. #kenmogi #QualiaRoom episode 127. Summary The speaker addresses the question of whether artificial intelligence (AI) possesses consciousness, firmly stating that current AI, particularly those based on statistical learning models, does not generate consciousness. This stance is based on the speaker’s personal model of consciousness, recognizing that various opinions exist, including some who claim large language models may already be conscious or that embodiment could be crucial for AI consciousness to emerge. The speaker highlights the fundamental challenge in verifying consciousness, noting that even among humans it is impossible to objectively confirm whether another person is conscious. Philosophical thought experiments such as philosophical zombies and inverted qualia illustrate the difficulty but remain unfalsifiable and thus untestable. Consequently, questioning AI consciousness is deemed an intriguing but practically unhelpful inquiry. The speaker suggests that current AI developments demonstrate that many complex computations can be performed without consciousness. Therefore, the primary focus should be on how conscious humans can effectively align with non-conscious AI systems. Understanding the unique computational roles of consciousness might clarify the boundaries of what AI systems can and cannot achieve. This approach offers a meaningful direction for AI alignment and development.

Ken Mogi

16,594 views • 1 year ago

David Chalmers on the one thing science can't explain: Consciousness is at once the most familiar thing in the world and the one science has almost nothing to say about. That's the puzzle Chalmers lays out in this early interview, and it's as disorienting today as it was then. His starting point is deceptively simple. Everything we know about the external world: subatomic particles, distant stars, the chemistry of life. We know through consciousness. It's the very first thing we have. And yet when we turn science around and try to explain consciousness itself, we hit a wall. "Consciousness is what we start with when it comes to knowing the world and looking out at the world… everything else is secondary." What makes this so strange is the asymmetry. We've made extraordinary progress understanding things that are genuinely remote and difficult quantum mechanics, stellar evolution, molecular biology. But understanding our own inner experience? Almost nothing. "It almost sticks out like a sore thumb in the scientific picture." This is what Chalmers would later formalise as the "hard problem of consciousness": not just explaining how the brain processes information or controls behaviour. Those are hard, but tractable. The real mystery is why any of that physical activity is accompanied by experience at all. Why is there something it feels like to be you? The question isn't abstract. It sits at the intersection of neuroscience, philosophy, physics, and AI. As we build systems that process language and reason about the world, the question of whether they are or could be conscious presses harder than ever. Chalmers doesn't offer an answer here. Only the sharpest possible version of the question.

Mateus — eu/acc 🇪🇺

14,034 views • 3 months ago

6,100-Qubit Processor Shatters Quantum Computing Record | David Nield, ScienceAlert Another major quantum computing record has been broken, and by a considerable margin: physicists have now built an array containing 6,100 qubits, the largest of its type and way above the thousand or so qubits previous systems contained. It's the work of scientists from the California Institute of Technology, who used cesium atoms as their qubits, trapping them in place with a complex system of lasers that acted as tweezers to keep the atoms as stable as possible. Qubits differ from the classical bits of traditional computers by exploiting what's known as a superposition: not just binary states of 1 or 0, but a spread of probabilities that allows for algorithms that can solve problems considered out of reach of conventional computing methods. Related: Quantum Advantage: A Physicist Explains The Future of Computers A lot of qubits will be needed to make quantum algorithms practical, however. One reason for these large arrays is error correction, which helps overcome the inherent fragility of the qubit by providing a surplus to double-check the machine's operation. "This is an exciting moment for neutral-atom quantum computing," says physicist Manuel Endres. "We can now see a pathway to large error-corrected quantum computers. The building blocks are in place." There was no single breakthrough that enabled this jump in qubit numbers, but rather a series of engineering advancements in many key areas – from the laser tweezers to the ultra-high (very low pressure) vacuum chamber. Stability has also been a problem for quantum computing systems. The innovations in this latest array kept qubits in a superposition state for almost 13 seconds – almost ten times longer than previous configurations had managed. What's more, individual qubits could be manipulated with 99.98 percent accuracy, establishing a significant benchmark in the programmability of quantum technology. "Large scale, with more atoms, is often thought to come at the expense of accuracy, but our results show that we can do both," says physicist Gyohei Nomura. "Qubits aren't useful without quality. Now we have quantity and quality." To make quantum computers a practical alternative to modern supercomputers, more qubits and even greater levels of stability will be required. Experts are tackling the problem from several different angles, which is why records for some types of quantum computer don't necessarily apply to others. Next, the researchers need to work on exploiting entanglement, which will enable the system to make the leap from storing information to actually processing it. Not too far in the future, we could be using these computers to discover new materials, matter, and fundamental laws of physics. "It's exciting that we are creating machines to help us learn about the Universe in ways that only quantum mechanics can teach us," says physicist Hannah Manetsch. Read more:

Owen Gregorian

43,078 views • 9 months ago