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We’ve been cooking at Prophetic. An ultrasonic brain computer interface that can precisely modulate the clusters of neurons in the prefrontal cortex. This will unlock is a new human capacity to experience dreams.

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410,698 Aufrufe • vor 9 Monaten •via X (Twitter)

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‼️BIG TECH IS NOW RELEASING A DEVICE THAT WILL MAKE YOU CONSCIOUS INSIDE YOUR OWN DREAMS Prophetic, an American technology company, has officially launched a device capable of tapping into your dreams. Not just to observe them, but to remember, shape, and control them. Here is how it works. The device sends low-level ultrasonic pulses through the forehead and directly into the prefrontal cortex, the part of the brain that goes quiet during regular dreaming but lights up during lucid dreams. By gently reactivating that region, the device pulls your sleeping brain into a state of full awareness, where you know you are dreaming and can steer where it goes. The last frontier of human privacy was your mind while you slept. That just ended. The WEF's "you will own nothing and you will be happy" just got its biggest upgrade yet. Why spend years convincing you while you are awake when they can simply program it in while you sleep? Nothing to see here. Absolutely nothing can go wrong. Sweet dreams. They are counting on it.

‼️BIG TECH IS NOW RELEASING A DEVICE THAT WILL MAKE YOU CONSCIOUS INSIDE YOUR OWN DREAMS Prophetic, an American technology company, has officially launched a device capable of tapping into your dreams. Not just to observe them, but to remember, shape, and control them. Here is how it works. The device sends low-level ultrasonic pulses through the forehead and directly into the prefrontal cortex, the part of the brain that goes quiet during regular dreaming but lights up during lucid dreams. By gently reactivating that region, the device pulls your sleeping brain into a state of full awareness, where you know you are dreaming and can steer where it goes. The last frontier of human privacy was your mind while you slept. That just ended. The WEF's "you will own nothing and you will be happy" just got its biggest upgrade yet. Why spend years convincing you while you are awake when they can simply program it in while you sleep? Nothing to see here. Absolutely nothing can go wrong. Sweet dreams. They are counting on it.

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The microwave can use the frequency code of your DNA in a brain-computer interface linked to a targeting system...

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Brain-wide neuron tracing reveals that the mysterious mouse claustrum is highly connected to the rest of the brain. In this extreme example, several neurons wrap their axons entirely around the cortex, forming a crown-like structure. 👑 More: #SciShots

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Ilya Sutskever explains why AI will do 100% the work that human can do within few years. "Slowly but surely, or maybe not so slowly, AI will keep getting better. The day will come when AI will do all of our, all the things that we can do, not just some of them, but all of them. Anything which I can learn, anything which any one of you can learn, the AI could do as well. How do we know this, by the way? How can I be so sure? How can I be so sure of that? The reason is that all of us have a brain, and the brain is a biological computer. That's why we have a brain; the brain is a biological computer. So why can't the digital computer, a digital brain, do the same things? This is the one-sentence summary for why AI will be able to do all those things: because we have a brain, and the brain is a biological computer." --- Full Video on 'University of Toronto' YT Channel (link in comment)

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New brain-computer interface preprint led by PhD student Tyler Singer-Clark! This video of a man with paralysis accurately controlling a cursor looks like something you've seen since ~2017. BUT! This is driven by multielectrode arrays in ventral (speech) motor cortex‼️ 1/

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A paper in nature presents a brain–computer interface that helped a patient with ALS to communicate at an average rate of 62 words per minute, which is 3.4 times as fast as the previous record and moves closer to the speed of natural conversation.

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someone connected LIVING BRAIN CELLS to a Bitcoin trading bot 200,000 real human neurons kept alive on a silicon chip the neurons fire electrical impulses that train an ML CLASSIFIER to trade BITCOIN, no human decisions, no intuition, no emotion you can see the stimulations in real time, little dots are electrical pulses sent to the culture, green ones are the neurons firing on their own this is day one, nobody has done this before

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someone connected LIVING BRAIN CELLS to an LLM Cortical Labs grew 200,000 human neurons in a lab and kept them alive on a silicon chip, they taught the neurons to play Pong, then DOOM now someone wired them into a LLM... real brain cells firing electrical impulses to choose every token the AI generates you can see which channels were stimulated, the feedback from the neurons in choosing that letter or word

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"I became very fascinated with the idea of the brain computer interface and what consequences that might bring to the world. And this is one of the reasons The Brain Show came up, so that people will have a chance to see some of the realization of these ideas, see how they feel about it, and where we should be leading things."

"I became very fascinated with the idea of the brain computer interface and what consequences that might bring to the world. And this is one of the reasons The Brain Show came up, so that people will have a chance to see some of the realization of these ideas, see how they feel about it, and where we should be leading things."

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Scientists used 200,000 human brain cells to play DOOM. The cells had never seen a computer. They learned in real time. They got better. Separately: an entire fruit fly brain, 139,000 neurons, 50 million connections, was copied into a laptop. It predicts real brain responses with 90%+ accuracy. The biological computing timeline: 2021 → neurons learn Pong 2022 → fruit fly brain fully mapped 2024 → entire fly brain simulated on a laptop 2026 → human brain cells play DOOM A GPU needs ~700W to run an LLM. The brain runs the whole show on 20W. We're spending trillions on building the next giant AI training computer but what if the solution to our energy needs was just copying the technology already running in our heads?

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Ilya Sutskever, in his speech at UToronto 2 days ago: "The day will come when AI will do all the things we can do." "The reason is the brain is a biological computer, so why can't the digital computer do the same things?" It's funny that we are debating if AI can "truly think" or give "the illusion of thinking", as if our biological brain is superior or fundamentally different from a digital brain.

Ilya Sutskever, in his speech at UToronto 2 days ago: "The day will come when AI will do all the things we can do." "The reason is the brain is a biological computer, so why can't the digital computer do the same things?" It's funny that we are debating if AI can "truly think" or give "the illusion of thinking", as if our biological brain is superior or fundamentally different from a digital brain.

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EINSTEIN’S BRAIN AND THE NEURONS THAT TAUGHT THEMSELVES PONG When Einstein died, scientists studied his brain to see what set it apart. Most of it looked ordinary, except for one thing: the folds. His brain had far more of them than average. More folds meant more surface area, and more surface area meant more neurons. The difference was concentrated in his parietal lobes, the regions tied to math and spatial reasoning. Genius left a trace, but it was subtle, hidden in structure rather than size. Decades later, another mystery arrived. In 2022, researchers at Cortical Labs grew human neurons in a Petri dish and wired them to a chip running the game Pong. There was no human player, no brain, and no mind, just cells, signals, and feedback. Yet somehow, the neurons learned. The longer they played, the better they became. That forced an uncomfortable question: how does a group of disconnected neurons know how to play a game it has never seen. The answer is still unclear. Einstein’s brain revealed how intelligence can be built. Source: Joe Rogan

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