正在加载视频...

视频加载失败

🚨BREAKING: A cognitive scientist from MIT has mathematically proven that evolution guarantees we see zero percent of true reality, that most consciousness in the universe exists without a body, and that non-human intelligences with a wider window on reality than ours can reach in and manipulate it the way...

1,641,524 次观看 • 14 天前 •via X (Twitter)

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Donald Hoffman: : Reality Is An Interface, Illusion - Math Undeniable - Consciousness Creates Spacetime - Evolution Hid the Truth | Donald Hoffman | Mscs Media *327 Full Ep: Donald Hoffman, scientist, and professor, asks, do we see the world as it truly is? ⁠In ⁠The Case Against Reality⁠, pioneering cognitive scientist Donald Hoffman says no. We see what we need in order to survive. Our visual perceptions are not a window onto reality, Hoffman shows us, but instead are interfaces constructed by natural selection. Imagine we were all born with lenses, that put us in a video game, how would we know? The objects we see around us are not unlike the file icons on our computer desktops: while shaped like a small folder on our screens, the files themselves are made of a series of ones and zeros - too complex for most of us to understand. In a similar way, Hoffman argues, evolution has shaped our perceptions into simplistic illusions to help us navigate the world around us. Yet now these illusions can be manipulated by advertising and design. Follow Professor Hoffman: ⁠ ⁠ physics Drawing on thirty years of Hoffman's own influential research, as well as evolutionary biology, game theory, neuroscience, and philosophy, The Case Against Reality makes the mind-bending yet utterly convincing case that the world is nothing like what we see through our eyes. Donald Hoffman's books, and papers, are easy to read and understand. Books: ⁠The Case Against Reality⁠ ⁠Visual Intelligence⁠ ⁠Observer Mechanics⁠ ⁠Fusions of consciousness⁠, ⁠Fact, Fiction, and Fitness⁠, and ⁠Objects of consciousness⁠. Donald Hoffman Spotify Spotify Podcasts 🎙 #donalddhoffman #Spotify #Space #spacetime #podcast #Science #Physics #neuroscience #illusion #REALITY #Simulation #interface #CONSCIOUSNESS

Mscs Media

3,482,416 次观看 • 2 年前

––Charlie Barnett: "Consciousness and the computability of it. It sounds like, or at least in the past, that you've implied that consciousness is computable. Some, like Roger Penrose, have argued the opposite, and he's argued that consciousness is non-computational, and he uses Gödel's incompleteness theorems to argue that the mind can see truths that a purely algorithmic system can't derive, and therefore the brain must be using some kind of non-computable process when it comes to consciousness, something beyond what machines can do. What would you say to a view like that? David Deutsch: Yet again, it is using an impossible conception of what knowledge is. So Penrose thinks that when we see a proof of a mathematical theorem, we are touching certainty, we are god-like entities when we're mathematicians. But that's not true. Our mathematical knowledge is conjectural, just like our knowledge of physics. It's even more removed from our senses, because it's not true that the interior of our brains and the interior of our thoughts is more accessible to us than the world we perceive through our senses, or the world that we perceive through our theories, the center of the sun. We know lots about the center of the sun, even though no one has ever perceived it, and perhaps no one ever will. So mathematical truths are based on conjecture. What Gödel showed is that there is no firm ground underneath mathematical theories either. There's no way of proving that the standards of proof that we currently use are perfectly rigorous. And there have been cases in history where they have shown not to be rigorous. I think Pernot, who was the first to axiomatize the principles of the natural numbers, his first attempt at that was wrong. And it's interesting that he did not say, well, I've axiomatized them, therefore there's nothing to them other than my axioms. No, he said, oh dear, my axioms don't correctly represent the real number, the natural numbers, so I have to change them. So he was grasping, conjecturing for a reality, an abstract reality, just like scientists try to grasp physical reality. So the same epistemology applies to mathematics as it does to science."

Deutsch Explains

13,803 次观看 • 1 年前

The smartest man in AI just exposed the whole AGI narrative as a LIE. And he used a physics problem from 1905 to prove it. His name is Demis Hassabis. He runs Google DeepMind, and won the Nobel Prize for using AI to crack a problem in biology that had stumped scientists for 50 years. Almost nobody in this industry has a track record like his. He went on the NothingButTech podcast and called out the biggest lie in AI right now: Right now the loudest voices in AI are telling you that AGI is basically here. OpenAI has literally defined AGI as a system that can outperform humans at most "economically valuable work." In other words, if it replaces enough jobs, we have arrived. Hassabis thinks that bar is a joke. He said real general intelligence has to do what the human brain can do, because the brain is the only proof we have that this kind of intelligence is even possible. He called that "a higher bar than just being able to do some useful economic work," which is about as close as a polite British Nobel laureate gets to calling his rivals out. Then he gave the actual test: Today's AI has read everything humans have ever written, including the theory of relativity. So when it explains relativity back to you, it's repeating an answer that already exists. That's not intelligence. So Hassabis proposed a test that makes memorization impossible. Train an AI on only what humanity knew in 1901, four years BEFORE Einstein published relativity. Then ask it to come up with relativity on its own. It can't look up the answer, because in 1901 the answer doesn't exist yet. The only way to pass is to do what Einstein actually did: Take the same physics everyone else had and reason its way to an idea no human had ever had. Hassabis says not a single AI today can, no matter how much it has memorized. Which means what we keep calling "almost AGI" is really just the best librarian in history. It can find any answer that already exists but it cannot create one that doesn't. His second version is even sharper: AlphaGo, the system his own team built, famously invented a brand new move that no human had played in 2,000 years of the game. Everyone called it genius but Hassabis says that still is not the bar. The real test is not whether an AI can invent a new move inside Go, it is whether an AI could INVENT a game as deep and as beautiful as Go in the first place. No model that exists today can do it. The people telling you AGI has already arrived are the same people raising hundreds of billions of dollars on that exact promise. The valuations only work if the finish line is right in front of us. So the finish line keeps getting dragged closer, and AGI keeps getting quietly redefined down to "does useful work," until the products they already sell happen to qualify. Hassabis has nothing to prove and nothing to sell you. He already won the Nobel, and he is telling you the machines still cannot do the one thing that would make them genuinely intelligent, which is have a truly original idea. To be fair to him, he is not a pessimist about it. He believes real AGI IS coming, and he is spending his life building it. He just refuses to pretend it is already sitting in your phone. So the next time a founder tells you AGI is months away, remember that the one man in the room with a Nobel Prize built his test around Einstein, and admitted that nothing we have made can pass it. What do you think?

Ricardo

1,271,371 次观看 • 4 天前

There is a morning in Texas when the sky stacks clouds like it means something and the pasture goes so green it almost doesn’t look real. The sun is already working. Ranch Santa Elena outside Madisonville delivered that morning. Steve Williams RegenBeef was already out with the bulls. Steve is the Genetics lead at [email protected], and if you have not heard his name yet, you will. He is the kind of man who does not announce himself. He shows up, he assesses, he works. That is the proof of work that earns a place in this movement, and Steve has earned his. The bulls at Ranch Santa Elena are not waiting. They are ready. Anyone who has spent time around cattle knows the difference between an animal that is settled and an animal that is prepared. These bulls are prepared. A short time from now, they make the trip to El Salvador, and when they arrive, they begin the work of building a foundation herd for a country that has chosen to take its food sovereignty seriously. That is not a small thing. Foundation herd genetics are a generational decision. Get them right and the country is building on solid ground for decades. Steve Williams understands this. He is standing in a pasture in Madisonville, Texas, looking at the animals that will carry that responsibility, and he is pleased with what he sees. So are we. The El Salvador partnership was built on peer respect and shared purpose. The Ministry of Agriculture came to the table as a sovereign nation serious about its food infrastructure. We came as a movement serious about ours. What is being loaded onto a trailer in a few weeks is not charity and it is not commerce. It is collaboration between people who understand that the integrity of a food system starts with the animal, and the animal starts with the genetics. Steve Williams knows that. Ranch Santa Elena knows that. The Beef Initiative has always known that. This is what is being built to carry forward. Introductions like this one. Proof of work in the field, not just on a screen. A genetics program that begins in Texas and lands in Central America with the weight of shared conviction behind it. Watch for Steve. Watch for these bulls. The foundation is being laid. We are Texas Slim™ Óscar Domínguez Beef Initiative🇺🇸🇸🇻BeefMaps.com

Texas Slim™

12,139 次观看 • 2 个月前

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 次观看 • 2 个月前