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Andrew Huberman explained déjà vu in the most mind-blowing way: Your brain doesn’t replay memories forward… it can fire them backward or all at once. That eerie “I’ve been here before” feeling? Just neurons accidentally playing a sequence that’s close enough to a real memory. Even crazier: During learning...

311,312 次观看 • 6 个月前 •via X (Twitter)

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we all dream of those big wins in life the 100x, the multi-million dollar trade, or even just 10x of what you started with in 7 days i’ve been fortunate enough to experience a few of those over the past few years, and the reality is when you do win big, it doesn’t feel like it at all it hits for a split second, and then your brain just normalizes it it's a part of how to get there in the first place, but makes it a lot easier to lose it if you don't have the right guardrails in place and in that exact moment, you being even keeled doesn’t mean the number in front of you isn’t life changing it is this is where you have to slow down a bit, breathe, settle your mind don’t just roll it into some bullshit take some off the table, step away for a few days if you have to, funny enough, blowing let's say 10k of it on a beautiful trip to tokyo will save you so much because once you actually process what just happened, your future self will thank you for it the truth is, even if you think you’re going for a certain number, the moment you hit it, you’ll want more and more, and more anyone who's been in the same position will tell you the exact same thing ironically the people that win are addicted to winning and if you ask the same people in a year after that big win, what they regret and where are they proud of themselves? they will tell you they regretted rolling it over and giving some/all back or they are proud for switching back on the switch all of this is real, but it’s also exactly how i imagined it would feel years ago before it ever happened manifest your life, the feeling not just the number everything happens twice, first in your mind, then in reality

۟

23,017 次观看 • 2 个月前

Clinical psychologist Jordan Peterson just sat down with Joe Rogan and dropped a chilling warning, rooted in the story of Moses, that shows exactly how to spot tyrants in the modern world. But before delivering his biblical bombshell, he delivered another powerful truth: Your reputation is your most indestructible form of wealth. “In the Gospels, Christ tells people to store up treasure in heaven where it doesn’t rust, where the thieves can’t steal it,” he said. “That’s reputational treasure.” Unlike cash, status, or influence, reputation can’t be hacked, stolen, or wiped out in a collapse. “If you conduct yourself impeccably, you’ll develop a storehouse of reputation that will withstand all catastrophe,” Peterson continued. “Nothing can touch it. There’s no place you can put your wealth that’s more effective than that. It’s the least assailable place.” But then came the catch: the system is vulnerable. “The reputation game can be gamed,” he warned. Peterson explained how social hierarchy affects our brain chemistry—when reputation rises, serotonin goes up. You feel bolder. More confident. “That’s a really good deal,” he said. But it works in reverse, too. When your reputation crashes, the emotional toll can be devastating. “That’s partly why people don’t like losing face,” he added. “Their emotions disregulate.” So what’s the way forward? “The best way to play that game is to establish a genuine reputation,” Peterson said. Not a curated or performative reputation. But a real one—built one decision at a time.

The Vigilant Fox 🦊

148,568 次观看 • 1 年前

During the snowstorm that is sweeping through the U.S. right now, the safest vehicle you can be in is in a Tesla with FSD bc it can react faster than any human or gas car. An electric motors respond in milliseconds. When a wheel starts to slip on snow or ice, Tesla’s sensors detect it up to 1,000 times per second, and the computer instantly cuts or redistributes power to the wheels with grip. On the other hand, gas cars have major delay and don’t have this capability… That means if your Tesla hits a tiny patch of ice, the car corrects it right away, even before you even feel it, almost like the car is thinking ahead. If you don’t believe me listen to the man that built it. Joe: “What happens if you get sideways in the snow? Like, does it correct for that?” Elon: “Yeah. Electric cars have really great traction control because the reaction time is so fast. So, with a gasoline car, you’ve got a lot of latency. It takes a while for the engine to react, but for electric motors, incredibly precise…. But to an electric motor, it’s operating at the millisecond level. So, it can turn on and off traction within, like, inches of getting on… let’s say, you’re driving on a patch of ice, it will turn traction off, and then turn it on a couple inches right after the ice, like a little patch of ice because in the frame of the electric motor, you’re moving incredibly slowly. You’re like a, you’re a snail. You’re just moving so slowly because it can see at a thousand frames a second. And so, it’s like, say ‘one Mississippi’, it just thought about things a thousand times.” Joe: “So, it has realized that your wheels are not getting traction. It understands there’s some slippery surface that you’re driving on.” Elon: “Yes.” Joe: “And it makes adjustments in real-time.” Elon: “Yes, in milliseconds.” Joe: “That would be so much safer than a regular car.” AKA, buy a Tesla if you want to be in the safest car in the world. 💯

Teslaconomics

38,945 次观看 • 5 个月前

Bio inspired Hebbian probabilistic network learns in less than 5 minutes from a super sparse single reward per episode! also has imitation learning (manual control) system has 3 parallel competing networks which get sensory input from a 360 vision (27-direction sensory neuron array) link to code in comment each sub-network is responsible for a single motor action: forward, left and right. at each step whichever section has most neurons firing wins neurons fire probabilistically and mark themselves with a time-decay tag which happens when a neuron fires and diminishes with time. you can see this " tag countdown" on each neuron when a reward is attained(eating the cheese) eligible connections gets strengthened I included 2 runs in the video first was 15 minutes in real time and second was 5 minutes. red plot is the rolling average of last 10 time to cheese. it is really not possible for agent to achieve full control due to probabilistic neural firing. that is why it has to learn while jittering all over the place, which in itself is interesting in manual mode you can guide the cheese by stimulating its motor control networks ( still probabilistically ) and the rewards will still work ✅ Biologically Plausible Features: Stochastic firing (neurons in the brain fire probabilistically) Reward-based learning (dopamine-like neuromodulation) Hebbian plasticity (well-established biological mechanism) Eligibility traces (biological neurons have temporal credit assignment) Sparse sensory encoding (similar to place cells, grid cells) Competitive action selection (basal ganglia architecture) No backpropagation (which is biologically implausible) ❌ Missing Biological Features: No recurrent connections (real brains have extensive feedback loops) No inhibitory neurons (GABAergic neurons are ~20% of cortex) No spike timing (simplified from true spiking dynamics) Uniform layer structure (biological networks are more heterogeneous) Simple weight updates (real synaptic plasticity is more complex)

echo.hive

33,638 次观看 • 8 个月前

Qullamaggie on Breakout Trading Works When Markets Are Strong “Yeah, I mean look, the breakout trading like breakout trading works when the market is strong. You know, in a period like this, breakouts don’t work. And you won’t get any setups. That’s a good thing you can just know chill. You can take a vacation. This is the Nasdaq. You know when the 10 day, the 20 day moving averages start sloping lower, and the 10 day gets lower than the 20 day, you know you don’t trade breakouts even if you see a good setup. You shouldn’t trade it, right? Same thing here. Now I trade different methods, so I do trade during these periods. I do a lot of mean reversion stuff, but these periods you shouldn’t trade. Like when they’re 10 day and 20 days start sloping lower, and the 10 day is below the 20 day, no trading. No breakout trading. And it’s fine you don’t have to trade every day every week every month. Thisis where the big money is made okay. This is where you know you wait out the bad times, and this is where you know when the 10 day starts rising higher, the 20 day starts getting higher. The 10 is above the 20 day. This is where you double, triple your account, okay. Then you have periods like these that are sideways. You know if you can break even during these times you got you know you’re doing a good job, and then you get a period like this again. You double, triple your account. Then you sit out some types of periods when the moving averages start sloping lower. The 10 and 20, and then you get a period like this where you double, triple, quadruple your account, boom. And when the 10 day and 20 day start sloping lower, 10 day is below the 20 day that’s when you sit and wait. You go and enjoy life. Let the amateurs trade, let them churn their accounts. Let them blow up. And when the times get good again that’s when you double triple your accounts.”

Lone

15,563 次观看 • 6 个月前

🚨 SOMETHING STRANGE IS HAPPENING TO THE MOON — AND THEY DON’T WANT YOU TO NOTICE A woman gets on camera and says this isn’t a one-time thing. She saw it last month, the moon looked completely off, like the orientation made no sense, but she brushed it off and kept it moving. Now it’s happening again. Same exact look. So this time she actually checks, pulls up NASA charts for her exact location and shows what the moon is supposed to look like… and what she’s seeing doesn’t match it, not even close. The charts show it side to side, but what everyone actually saw was a flipped moon, straight up upside down, like something changed and everyone’s acting like it didn’t. Then she calls people across the country to verify it, and they come back saying the same thing. It looks upside down to them too, which is where this stops being “just her” and starts feeling like the same exact thing showing up in multiple places at the same time. And it’s not just her, people all over social media are saying the same thing: "Something isn't right." And this is where it stops making any sense. She says if the moon is a crescent, you’re only supposed to see the lit part… so why can she still see the entire outline of it, faint but clearly there, like the shadow isn’t even doing what it’s supposed to do? And she’s already calling it out before anyone can spin it: don’t say it’s lighting, don’t say it’s angle, don’t say it’s photoshopped, because she checked the charts, showed the receipts, and had other people confirm it. So now you’ve got the same “flip,” the same upside down moon, same visibility issue, second month in a row, multiple locations… and it still doesn’t match what we’re being shown. She ignored it once. Now it’s back again. So what exactly are we looking at… and why does it feel like we’re not supposed to question it?

HustleBitch

729,968 次观看 • 3 个月前

Geoffrey Hinton just reframed the biggest supposed flaw in artificial intelligence. And it changes everything. Hinton: “They shouldn’t be called hallucinations. They should be called confabulations.” One word swap. Entire paradigm shifts. When the legacy tech industry calls AI hallucinations a bug, they’re revealing a fundamental misunderstanding of what intelligence actually is. They’re expecting the machine to behave like a database. Store a fact. Retrieve the fact. Return the exact same fact every time. That’s not how intelligence works. Not artificial. Not biological. Hinton: “It’s not that there’s a file stored somewhere in your brain, like in a filing cabinet or in a computer memory.” Your brain doesn’t store memories. It reconstructs them. Every time you recall something, your neural network uses connection strengths shaped by past experience to build the most plausible version of what happened. It fills the gaps. Smooths the inconsistencies. Constructs a coherent story from incomplete signal. And then presents that story to you as fact. Hinton: “If I ask you to remember something that happened a few years ago, you’ll construct something that seems very plausible to you. And some of the details will be right and some will be wrong.” Here’s the part that should stop you cold. You will be equally confident about the wrong details as the right ones. Think about that. Really think about it. Every argument you’ve had about who said what. Every memory you’ve defended as certain. Every time you told a story about your own life with complete certainty. Some of those details weren’t real. You constructed them. Confidently. Fluently. And you had no idea. This isn’t a flaw unique to people with bad memories. Eyewitness testimony is the most confabulated evidence in the human justice system. Innocent people have spent decades in prison because someone remembered something that felt absolutely certain and was absolutely wrong. Your brain didn’t lie to you. It did exactly what brains do. It built the most plausible story it could from the signal it had. AI does the exact same thing. Because it was built on the exact same architecture. The mechanism that makes an AI invent a plausible but wrong answer is the same mechanism that makes it brilliant. You cannot have one without the other. The ability to reason creatively, synthesize across domains, construct explanations for things it has never been told. All of it runs on the same engine as the confabulation. Hinton: “Psychologists have been studying confabulation in people since at least the 1930s.” This isn’t a new phenomenon. It isn’t a software bug. It isn’t something to be patched in the next model update. It is the price of dynamic intelligence. The shadow cast by the same light that makes these systems remarkable. We aren’t building better search engines. We are building synthetic minds that think the way minds actually think. Messy. Confident. Occasionally wrong. And for exactly that reason, capable of something no database ever was.

Dustin

116,231 次观看 • 4 个月前

Nam Yejun recently became able to control his dreams... Apparently before he could only control things after partially waking up first like moving just one finger to break out of sleep paralysis or something like that, but now even without waking up, he can consciously control his actions inside the dream itself 😨 💙: Rather than calling it a scary experience… there’s actually something I realized recently. You know sleep paralysis, right? I became able to completely control it 💙: I never used to have that kind of ability. But now I can control the situation inside the sleep paralysis 🩷: How? Like a lucid dream? 💙: Not like that, I can move however I want inside the sleep paralysis… it’s not a dream 💙: Even while still unable to wake up, I can do things however I want in that state now. Before, I had to stay still and force myself to move even just one finger for it to break. But now even if I don’t physically move, if there’s something I wanna move toward or something I see, I can kind of pass by it or move around like that, I can do that now 💙: There are sounds too and sometimes I see scary things, so every time I got sleep paralysis it used to be really miserable for me. I’d keep waking up in the middle of the night and naps were even worse 💙: I got sleep paralysis a lot during naps so constantly waking up was exhausting. But now when I get sleep paralysis, I’m relatively freer inside it, so it doesn’t stress me out anymore 🖤: How did you suddenly become free like that? What triggered it? 💙: I gave up on trying to wake myself up. I just thought, ‘Eventually I’ll fall back asleep again anyway’ But instead, it kind of turned into me gaining control over it 🖤: What does it feel like? Like floating or something? You know how there’s a certain sensation? 💙: It’s kind of like… you know when you’re filming something and there’s a camera zooming in? Like your point of view suddenly zooms forward like this 🖤: Like in Sudden Attack? 💙: Exactly, it’s exactly like that

nanas

34,947 次观看 • 1 个月前

WHY YOU WAKE UP IN THE MIDDLE OF THE NIGHT Your brain has 20,000 neurons clustered in the hypothalamus. They form the suprachiasmatic nucleus. This is your master clock. It's been running since before birth. At 25, this clock kept you unconscious until morning. At 65, the same clock runs on less melatonin, weaker signals, and a rhythm that physically shifted 2-3 hours earlier. It fires a wake signal between 2-4 a.m. Four systems inside your body shifted with age. They converge at the same hour every night. The thoughts that arrive at 3 a.m. feel different from the same thoughts at 3 p.m. because your brain runs a different program in the dark. The part that would normally tell you those thoughts aren't emergencies is still asleep. THE CLOCK MOVED FORWARD The suprachiasmatic nucleus generates a near 24-hour rhythm controlling when you feel alert and when you feel sleepy. In young adults, peak sleepiness arrives around 11 p.m. Peak alertness arrives around 9-10 a.m. Blue light at 480 nanometers activates melanopsin cells in the retina. These cells send signals directly to the suprachiasmatic nucleus, synchronizing your clock to the day-night cycle. With age, the clock shifts earlier. This is circadian phase advance. The sleepiness signal arrives at 7-8 p.m. instead of 11 p.m. The wake signal arrives at 3-4 a.m. instead of 6-7 a.m. The entire sleep-wake window moves forward 2-3 hours. The suprachiasmatic nucleus itself degrades. Neurons deteriorate. The amplitude of the circadian signal weakens. Peaks become shallower. Troughs become less deep. The radio station loses transmitter power until the signal becomes fuzzy and inconsistent. The clock's sensitivity to light cues diminishes through two mechanisms. The aging lens yellows and thickens, filtering more blue light before it reaches the melanopsin cells. The suprachiasmatic neurons themselves respond less robustly to whatever signal does arrive. Weaker input through a cloudier window. Less responsive neurons processing that input. The clock drifts. When the circadian clock drifts without strong light cues, it drifts earlier. Phase advance is the default direction of an unanchored aging clock. MELATONIN COLLAPSED The pineal gland releases melatonin at night to initiate and maintain sleep. This hormone declines with age. The pineal gland calcifies gradually over decades, reducing functional tissue and capacity to produce melatonin. By 65, nighttime melatonin levels can be one-third to one-quarter of what they were at 30. Sometimes less. Melatonin doesn't just initiate sleep. It maintains depth and continuity across the full night. When melatonin is low, sleep is shallower, more fragmented, more vulnerable to interruption. Even if you fall asleep at a reasonable hour, low melatonin cannot hold you through to morning. Your body tries to put you to sleep at 8 p.m. and wake you at 3 a.m. That's a 7-hour sleep window. It might be enough sleep for your shifted clock. But you fight the 8 o'clock drowsiness. Social life, television, family, habit. You stay up until 10 or 11. The clock doesn't adjust to your social schedule. It fires the wake signal at 3 regardless. The clock runs on light and biology, not preferences. You lost 2-3 hours from the front of your sleep window by staying up late. The alarm still goes off on the original schedule. The 3 a.m. waking isn't a malfunction. It's your shifted clock doing exactly what it was programmed to do. This is social jet lag. The gap between your biological clock time and your social clock time creates the same physiological mismatch as flying across two or three time zones. Your body is in one time zone. Your social life is in another. The drowsiness you fight at 8 p.m. is your body's genuine sleep onset signal. The waking at 3 a.m. is your body's genuine wake signal. The problem isn't the signals. The problem is overriding one without being able to override the other. There's a compounding factor. The shifted clock means your body wants to sleep earlier. The reduced melatonin means it cannot hold sleep as deeply or as long. You're caught between two problems: a clock that fires the wake signal too early and a chemical supply that cannot maintain the sleep signal through the full night. Even if you went to bed at 8, the reduced melatonin might still fail to hold you past 3 or 4. The clock shifted the window. The melatonin shrank it. DEEP SLEEP DISAPPEARED Sleep cycles through stages roughly every 90 minutes. Light sleep, deeper sleep, deeper sleep, then REM. The stage that matters most for feeling rested is slow-wave sleep, stage N3, the deepest phase. Brainwaves drop to large, slow delta oscillations at 0.5-4 hertz. During slow-wave sleep, the glymphatic system activates. Cerebrospinal fluid flushes through brain tissue along channels that open when neurons shrink slightly during deep sleep. This clears metabolic waste: adenosine, the molecule that builds sleep pressure during the day, and amyloid beta proteins, the plaques associated with Alzheimer's disease. Growth hormone pulses during N3. Tissue repair peaks. Memory consolidation occurs. The hippocampus replays the day's experiences and transfers them to long-term cortical storage. This is the sleep that makes you feel like you actually slept. At 25, roughly 20% of the night is spent in slow-wave sleep. By 65, that drops to 10-15%. By 75, some people get almost none. My sleep tracker tells me that I almost never get less than 30%... and I'm 60. It is possible to have restorative deep sleep no matter what your age is. In my case even at lower sleep duration. High energy availability alsp plays a big role. The slow wave generating circuits in the medial prefrontal cortex usually deteriorate with age, producing weaker and less frequent delta oscillations. The deep sleep itself becomes shallower. The waves are smaller. The duration shorter. The restorative process is less complete. If deep sleep is the period when the brain clears amyloid beta, then reduced deep sleep means reduced clearance. Less deep sleep leads to more amyloid, which leads to less deep sleep, which leads to more amyloid. The relationship is bidirectional and self-reinforcing. If you never feel fully rested no matter how many hours you spend in bed, if 8 hours produces the recovery that 6 hours used to produce, if you wake in the morning with the sense that something was missing from the night, the missing component may be slow wave sleep. The hours were there. The depth was not. Slow-wave sleep that remains concentrates in the first half of the night, the first two to three sleep cycles. By 2-3 a.m., most of the deep sleep budget has been spent. What remains for the second half of the night is lighter stage one and stage two sleep, interspersed with REM. Light sleep has a dramatically lower arousal threshold. Stimuli that would not have registered during slow-wave sleep can push you above the waking threshold in light sleep. A slight temperature change in the room. A bathroom urge from a bladder that fills faster with age. A noise from outside. Even the natural shift in body position. You wake at 3 a.m. partly because the sleep you're in at 3 a.m. is physiologically different from the sleep you're in at midnight. The fortress walls got thinner as the night progressed. By 3 o'clock, you're sleeping behind a screen door instead of a vault. You could sleep through thunderstorms at 30. Now you wake at the sound of a refrigerator cycling on. The physics isn't about the noise. It's about the stage of sleep you're in when the noise arrives. At midnight, during slow-wave sleep, your arousal threshold is high. The brain runs delta waves that suppress responsiveness to external stimuli. At 3 a.m. in stage 1 or stage 2, the threshold has dropped to a fraction of its midnight level. The same sound that the sleeping brain would have filtered at midnight wakes you at 3 because the brain is no longer running the program that filters it. CORTISOL ARRIVED EARLY Your body runs a cortisol rhythm called the cortisol awakening response. In the final hours of sleep, the adrenal glands begin increasing cortisol output, preparing the body for waking. Mobilizing glucose into the bloodstream. Priming the immune system for the day's pathogens. Raising blood pressure and heart rate toward daytime operating levels. In a young adult, this cortisol rise begins around 4-5 a.m. and peaks roughly 30-45 minutes after waking. With age, the rise begins earlier. 2-3 a.m. in many older adults. Low-carb diets can also trigger a relatively strong cortisol release, waking you up early.. The same circadian phase advance that shifted the sleep-wake window also shifted the cortisol curve. Every rhythm the suprachiasmatic nucleus controls moves in the same direction. Cortisol alone doesn't wake you. But combined with already light sleep and a shifted circadian clock, the cortisol rise adds a third signal, pushing you toward wakefulness at precisely the hour when the other two systems have already weakened your defenses. Three systems converging on the same window. The clock says wake up. The sleep stage says the walls are thin. The cortisol says the body is preparing for morning. All three signals arrive at 3 a.m. Not by coincidence. All three are governed by the same shifted circadian master clock. If the waking comes at almost exactly the same time every night, not randomly scattered across the early morning hours but clustered within the same 30-minute window, that precision is the signature of a circadian event. Cortisol is antagonistic to melatonin. The two hormones suppress each other. Cortisol inhibits melatonin production. Melatonin suppresses cortisol. In a young person with high melatonin and correctly timed cortisol, the two hormones hand off smoothly. Melatonin dominates the night. Cortisol rises toward morning. The transition is seamless. In an aging body with depleted melatonin and early-arriving cortisol, the handoff happens too soon. When cortisol starts rising at 2-3 a.m. and melatonin is already low, the biochemical conditions for staying asleep collapse. The melatonin that should be holding you under is insufficient. The cortisol that should not be arriving for another two hours is already here. Two hormones that are supposed to hand off like relay runners, one finishing as the other begins, instead collide in the same hour because both shifted on the same aging clock. The balance tips toward waking. THE WORST THOUGHTS ARRIVE When you wake at 6-7 a.m., cortisol is high, light enters your eyes, and your prefrontal cortex comes online in its task-oriented mode. You think about what to do, what to eat, where to go. Executive function engages. The thinking is directed, practical, forward-looking. Problems that exist at 7 a.m. feel like problems to be solved. Manageable, bounded, addressable. When you wake at 3 a.m. in the dark with no tasks to perform and no light to signal daytime, a different network activates. The default mode network. The brain's self-referential processing system fires in the absence of external input and directed task. This is the rumination network. It runs replays of conversations you had years ago. It generates worry scenarios about events that may never happen. It revisits regrets from decades past with a vividness that feels more real than memory should. It rehearses confrontations that will never take place. It asks questions that have no answers at any hour, let alone at 3 a.m. At 3 a.m., the default mode network has nothing competing with it. No light. No task. No external stimulation. No social interaction. And the executive prefrontal cortex that would normally evaluate, contextualize, and override the rumination is still partially offline. The prefrontal cortex is the last brain region to fully activate upon waking. It requires light exposure and time to reach full operating capacity. This is the region that says this thought is not an emergency. This worry is not proportionate to reality. This problem can wait until morning and will look different then. At 3 a.m., that region is sleeping while the default mode network runs at full power. You're awake enough to think. But the thinking is the uncontrolled, self-referential, catastrophizing kind. The system that controls and contextualizes thought has not caught up with the system that generates it. The worry loop feels more intense at 3 a.m. than the same thoughts would feel at 3 p.m. because the brain regions that regulate emotional response and assign proportionality are not yet operational. You're running the worry software without the control software. The thoughts feel urgent and catastrophic because the part of your brain that would tell you they are neither is still asleep. The thoughts are not true in the way they feel true. They're running on hardware that cannot evaluate them yet. The 3 a.m. thoughts have a specific quality that daytime worry doesn't. A sense of certainty. Of inevitability. Of problems being larger and solutions being fewer than they actually are. The distortion isn't emotional. It's architectural. The brain regions that generate worry are online. The brain regions that evaluate worry are not. By 7 a.m., when the prefrontal cortex has fully activated and light has entered the eyes and cortisol has reached its appropriate peak, the same problems that felt catastrophic at 3 a.m. feel manageable. Nothing changed about the problems. Everything changed about which brain regions are processing them. If you've lain in the dark at 3 a.m. and felt that your problems were larger, your regrets sharper, your fears more certain than they would be by breakfast, that wasn't weakness. It wasn't anxiety disorder. It was the default mode network running without prefrontal supervision, amplified by cortisol that arrived early, in a brain that had already run through its deep sleep budget and could not pull you back under. Four systems, all doing what the physics of aging programmed them to do, all converging on the same hour. Subscribers have access to detailed practical applications of remedies in a second attached post.

Metabolic Uncle

12,138 次观看 • 3 个月前

Geoffrey Hinton just made every AI critic accidentally describe their own brain. Hinton: “They shouldn’t be called hallucinations. They should be called confabulations.” One word. The entire debate unravels. The tech industry sees AI produce a confident wrong answer and calls it a defect. A bug to patch. They are measuring intelligence against the standard of a filing cabinet. And exposing that they understand neither. Hinton: “It’s not that there’s a file stored somewhere in your brain, like in a filing cabinet or in a computer memory.” Your brain does not store memories. It rebuilds them from nothing every time you remember. Fills gaps it never discloses. Fabricates details you would stake your life on. Then hands it all to you as truth. Hinton: “If I ask you to remember something that happened a few years ago, you’ll construct something that seems very plausible to you. And some of the details will be right and some will be wrong.” The wrong parts feel identical to the right ones. No internal warning. No distinction between what was remembered and what was invented on the spot. You have argued over memories that were partially fiction. Told stories about your own life that your brain manufactured in real time. With total conviction. And never once suspected. This is not a defect in human cognition. This IS cognition. The mechanism that fabricates is the same one that reasons, creates, and makes connections no one taught it to make. Not a separate system. Same architecture. Same process. You cannot remove the confabulation without killing the intelligence. They are the same thing. Hinton: “Psychologists have been studying confabulation in people since at least the 1930s.” A century of evidence. No one called the human brain broken. The moment a machine runs on the same principle, the world calls it defective. The people demanding AI that never gets a single detail wrong are not asking for intelligence. They’re asking for a search engine that sounds articulate. What we built is something else entirely. A system that thinks the way thinking actually works. Not retrieval. Construction. The imperfection is not the cost of intelligence. It is the signature.

Dustin

16,260 次观看 • 15 天前

The AI industry is optimizing for a definition of intelligence that does not exist. Andrew Ng just said it out loud. Ng: “AGI, to me, should be less about AI that already knows everything under the sun. That seems very challenging, doesn’t seem practical.” The human brain is not the most powerful economic asset in history because of what it holds. It is powerful because of what it can pick up. Ng: “The amazing thing about the human brain is its plasticity, or its ability to learn.” That same biological hardware that earns a PhD in quantum physics could have been trained on chess, surgery, or rewriting global supply chains from scratch. Ng: “That same human brain, just given different training, could have been a chess master, or could have been amazing at playing tennis.” General intelligence is not omniscience. It is the structural capacity to master whatever you point it at. Ng: “It is through learning that we then gain these incredibly specialized intelligences.” The winner is not whoever builds the biggest model. It is whoever builds the most adaptable one. The AI that walks into a domain it has never touched and executes before a human analyst finishes reading the brief. Ng: “What makes the human brain so valuable for economic tasks, is its ability to just learn to do whatever is needed.” Every corporation on earth pays for human labor because humans adapt. Not because they already know everything. AGI is the digitization of that exact capability. At machine speed. At infinite scale. Ng: “A lot of what makes the human brain so general is not that my brain or your brain already knows everything under the sun. It’s our ability to adapt, to learn a huge range of things.” The most powerful economic asset in history was never specialized knowledge. It was the raw capacity to acquire any knowledge, in any domain, on demand. The winning AI is not an encyclopedia. It is the force that makes encyclopedias irrelevant. And once that exists, the question stops being what the AI knows. It becomes what you can teach it before your competitor wakes up. Most people dominating this conversation have not understood that yet.

Dustin

19,808 次观看 • 4 个月前

A community college professor named Marty Lobdell taught the same study skills lecture for 30 years. The video quietly became one of the most watched educational recordings online, with over 10 million views. He spent his career watching students fail not because they were lazy, but because no one had taught them how their brain actually works when learning something difficult. The lecture, “Study Less Study Smart,” contains a powerful framework. Your brain cannot sustain focus the way most people believe. Studies show the average learner hits a wall between 25 and 30 minutes. After that, efficiency collapses. You’re still sitting there, but almost nothing is being absorbed. Lobdell told the story of a student who planned to study 6 hours a night, 5 nights a week. Thirty hours total. She failed every class. She was not lacking effort. She was confusing time near books with actual learning. The fix is simple: when focus drops, stop, take a 5 minute rewarding break, then return. That reset makes a massive difference. He also destroyed the myth of highlighting and re reading. Recognition is not the same as recall. To prove it, he read 13 random letters. Almost no one remembered them. Then he turned them into “Happy Thursday.” The entire room recalled them instantly. The brain stores meaning, not repetition. This is why elaborative encoding works so well. Finally, he shared the most important principle: 80 percent of study time should be active recitation. Close the book and explain the material in your own words. Teach it to someone else or an empty chair. Retrieval is where real learning happens. His closing line stuck with me: If this information does not change your behaviour, you have not actually learned it. The best students do not study more hours. They stop confusing the feeling of studying with the reality of learning.

Kyronis

683,313 次观看 • 2 个月前