Audio_SSS14

The human brain thinks in stories because it is energy efficient. Stories don't exist in nature, but we create them to make sense of the world. Our brains fill in gaps with stored information to understand new experiences. Thinking in stories helps us process information faster and make predictions. It's like using autocorrect on a phone keyboard. Without thinking in stories, we would be overwhelmed by every new thing we encounter. It's a shortcut our brains use to save time and energy. Thinking stories, thinking stories, why does the human brain think in stories? Every little thing, one by one, the simple answer is that it's energy efficiency. Hey, hey, hey, you're asking the right girl, because I'm Rachel the Neuroscientist. I'm here to answer your questions. Why human brains think in stories, think, think, think in stories. The first premise here is that outside of human cognition, and perhaps also some other animals too, stories don't exist. Stories don't exist. There's no such thing as a story. Stories don't exist. There's no such thing as a story. The universe exists through a process of randomness. Randomness. Everything happening all at once. Such chaos, and entropy, and entropy. So the entire concept of a story comes from us. Chaos. And the way that we think. And the way that we think. We think in stories. You know what, I think, I think. But why do we think that way? Why is it that human beings are little meaning-making machines, or sense-making machines? Because this theory makes sense. Does this theory make sense? What is the meaning behind someone else's actions? Is this path worth my time? What is the purpose of your message? Every day, we instinctively ask ourselves these questions, without even being aware of it. Why is it? The simple answer is that it's energy efficiency. It's part of the way our brain is designed to process. Designed to process. If you didn't have that aspect of human cognition, when you go out into the world, I'm like, what the hell is going on here? Am I in the movie, What's going on here? I am Legend. With Will and his beloved dog, Sam. What the hell is going on here, Sam? I am Legend. You know, and I'd have to process all of that. And another example, if I saw a Boston Dynamics robot walking by, I'm not going to know what to react and process that info. Am I an i-ice baby robot or something? Baby robot or something? Sorry, I forgot the name. But the movie has such great visual effects. Sorry, I forgot the name. Ever since, I think in stories, I know that. And only that is a person walking their dog. Dogs need daily exercise. Sam needs daily excuse to exercise, too. Sam can't stay in the house for too long. In fact, so much of human cognition is based on prediction. We gather a little bit of data or memories from what's happening right now. And we fill in the gaps with stored information we've already collected and processed long time ago. Long time ago. And if my imaginary friend, if you're interested in learning more about that prediction model, human cognition, there's another creator with username, the Brain Scientist, who I will add here. This scientist who's been making a few videos about that recently are very interesting. Go and watch them. Now. Go and watch them. Nowhere. Now. Noontime. Nowhere. Why does human think in stories? To learn and communicate with others. Again. Again. Stories don't exist. Stories don't exist. There's no such thing as a story. The universe exists. Human beings are... Every little thing. One by one. One by one. One by one. Every little thing. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. One by one. Machine hallucination. The digital thinking brain. If you ask a large language model, if it read a book, it can only guess, inferring the answer based on how much detail it appears to know about it. This is partly why the models hallucinate. Hallucinate. We have knowledge that appears to strongly overlap the question. It feels highly relevant. But it might be mixing up several related things and it can't know for sure. It's a bit like our own false memories. False myths that feel like they fit together right. Coming up with a GPT-4 or 3.5. You can check on GPT-4, obviously. It doesn't know its capabilities. So it is a philokinetic novel. It is a philokinetic novel. That's one of the significant differences between Largagan Language Models and our own brains, which is weighed approximately 1,300 grams. We don't just store knowledge. We also store memories of learning. The way and the struggles we went through to acquire and understand. Like GPT-4 or CLAWD3 Open. I use those two every day for complex, advanced programming tasks. I have 40 years experience and the models keep up with me and even in some cases surpass. But you have to understand their strengths and weaknesses. They are brains, but not human brains. So they will succeed and fail in ways you wouldn't expect from a human. A good sleep from Huberman Lab Podcast. Interview with Dr. Matthew Walker by Stanford Neuroscience Professor Mr. Andrew Huberman. He asked, Is there any evidence that one's bodily position during sleep or the orientation of the feet relative to the head, you know, the angles elevated upwards or downwards has any impact on the pattern of different sleep stages or quality or any other aspects of sleep? Dr. Matthew answered There is a reason for it. And we'll probably come on to this at some point when we speak about different methods for sleep optimization or the new wave of fascinating sleep enhancement tools has to do with temperature, we think. We think, we think that for you to be able to fall asleep and stay asleep, we think, you have to drop your brain and body temperature by, we think, just a little less than about one degree Celsius or probably two, two and a half degrees Fahrenheit. And that's the reason, by the way, that you will always find it easier to fall asleep in a room that's too cold than it is too hot. Because the room that's too cold is at least taking you in the right temperature direction for good sleep. Whereas the room that's too hot will always bring you in the direction of bad sleep and nightmares. Choose cold over hot. Whenever you need some rest is what I learned from this scientific experiment. Think of it as a digital thinking brain that functions similarly to a personalized and complete version of the human earthly mind. Does it make sense? Does it make sense? I repeat, does it make sense? Does it make sense? Does it make sense? Does it make sense? Does it make sense? Does it make sense? Does it make sense? Does it make sense? Does it make sense? Does it make sense? Chapter 2 Thinking Stories Why does the human brain think in stories? Hey, you're asking the right straight dude because I am Michael the male neuroscientist famous on YouTube. I'm here to answer your question. Why human brain? Why does the human brain think in stories? Think in stories. The third primate here is the outside of human cognition and perhaps also some other animals too. Stories don't exist. There's no such thing as a story. I repeat, does it make sense? Does it make sense? I repeat, does it make sense? Does it make sense? I repeat, there's no such, there's no such thing as a story in nature. The solar system, Milky Way, Galaxy, the cosmos and even the rest of the unknown of the universe. The universe exists through a process of randomness. Everything happening all at once. Such chaos and entropy. So the entire concept of a story comes from us and the way that we think. We think in stories. You know what I think? But why do we think that way? Why is it that human beings are little meaning-making machines or sense-making machines? Does this theory make sense? What is the meaning behind someone else's actions? Is this path worth my time? What is the purpose of your message? Every day, we instinctively ask ourselves these questions without even being aware of it. Why is it? The simple answer is that it's energy efficiency. It's part of the way our brain is designed to process. If you didn't have that aspect of human cognition when you go out into the world, you'd have to instinctively process every single new item or new event by itself or new event by itself or new event by itself. It would be overwhelming for our brain to process every little thing one by one, thing one by one, thing one by one. Now we crave a lot of energy to write in stories. But it's like a little shortcut your neurons use to save time processing information. Because actually, what we're doing is taking little pieces of information and filling in the gaps with our existing understanding. Similar to the autocorrect function found in the keyboard of an iPhone created by the man named Steve with a job to ruin horizontal video forever. Forever. Filling in the gaps with our existing story if I see someone in the street with a leash and a German Shepherd dog. If I didn't think in stories, I'm like, what the hell's going on here? Am I in the movie I Am Legend I Am Legend with Will and his beloved dog Sam? You know. And I'd have to process all of that. In another example, if I saw a Boston Dynamics robot walking by, I'm not going to know what to react and process to him. Am I in Ice Baby Robots or something? Sorry I forgot the name but the movie has such great visual effects. Ever since I think in stories, I know that and only that is a person walking their dog. Dogs need daily exercise. Sam needs daily excuse to exercise too. Sam can't stay in the house for too long. In fact, so much of human cognition is based on predictions. We gather a little bit of data or memories from what's happening right now and we fill in the gaps with stored information we've already collected and processed a long time ago. And if my imaginary friends, if you're interested in learning more about that prediction model of human cognition, there's another creator with a username, The Brain Scientist who I will add here. This scientist who's been making a few videos about that recently are very... Go and watch them. Does it make sense? No. Now. Go and watch them. Does it make sense? Go and watch them. No way. Does it make sense? No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No. No.