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Scientists have successfully recreated a fruit flys brain in a virtual simulation. Including over 125,000 neurons and millions of connections. Does this mean we can eventually create a digital human conciousness?

Alvi Gunilla

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29,895 просмотров • 4 месяцев назад •via X (Twitter)

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🪰 A team of researchers has unveiled the complete connectome of a male fruit fly central nervous system—a seamless map of all the neurons in the brain and nerve cord of a single male fruit fly and the millions of connections between them. 🔗

🪰 A team of researchers has unveiled the complete connectome of a male fruit fly central nervous system—a seamless map of all the neurons in the brain and nerve cord of a single male fruit fly and the millions of connections between them. 🔗

HHMI | Janelia

23,846 просмотров • 10 месяцев назад

🧠 A new wiring diagram of the 166,000+ neurons in the brain & nerve cord of a male fruit fly is a key tool in uncovering how the brain enables complex behavior—information that could ultimately help scientists understand what causes different diseases ➡️

🧠 A new wiring diagram of the 166,000+ neurons in the brain & nerve cord of a male fruit fly is a key tool in uncovering how the brain enables complex behavior—information that could ultimately help scientists understand what causes different diseases ➡️

HHMI | Janelia

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It's the future it's possible that we'll use cells plus silicon for compute. In this experiment, scientists used a mouse brain organoid (brain-in-a-dish) to play a video game, showing living cells can solve digital tasks. Reaching 46% proficiency in a CartPole simulation.

It's the future it's possible that we'll use cells plus silicon for compute. In this experiment, scientists used a mouse brain organoid (brain-in-a-dish) to play a video game, showing living cells can solve digital tasks. Reaching 46% proficiency in a CartPole simulation.

Bryan Johnson

97,454 просмотров • 4 месяцев назад

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?

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?

Josh Kale

135,972 просмотров • 4 месяцев назад

I still wonder how a human brain can create this level of fiction..

I still wonder how a human brain can create this level of fiction..

Jay bull

15,558 просмотров • 23 дней назад

I still wonder how a human brain can create this level of fiction.

I still wonder how a human brain can create this level of fiction.

ʀᴀᴍ

2,282,900 просмотров • 29 дней назад

I still wonder how a human brain can create this level of fiction

I still wonder how a human brain can create this level of fiction

定

125,317 просмотров • 2 месяцев назад

🚨Nobody wants to hear this but it needs to be said. > Scientists just copied a fruit fly's brain into a computer. Neuron by neuron. No training data. No machine learning. > It woke up and started walking. No one taught it to walk. No one trained it. No gradient descent. It just... knew what to do. A fruit fly brain has 140,000 neurons. A human brain is around 86,000,000,000. And we've gotten really good at scaling. Meaning with this proof, the first digital human won't be built by OpenAI. It'll be copied from someone who's already alive. Your consciousness is software. And someone just proved it can be copy-pasted. Start your day with that.

🚨Nobody wants to hear this but it needs to be said. > Scientists just copied a fruit fly's brain into a computer. Neuron by neuron. No training data. No machine learning. > It woke up and started walking. No one taught it to walk. No one trained it. No gradient descent. It just... knew what to do. A fruit fly brain has 140,000 neurons. A human brain is around 86,000,000,000. And we've gotten really good at scaling. Meaning with this proof, the first digital human won't be built by OpenAI. It'll be copied from someone who's already alive. Your consciousness is software. And someone just proved it can be copy-pasted. Start your day with that.

Tuki

6,137,801 просмотров • 4 месяцев назад

We might have just witnessed the first real mind upload. 🤯 Scientists scanned a fruit fly brain neuron by neuron, synapse by synapse, recreated it digitally, and placed it inside a simulated body. The fly walked. Groomed. Fed. No training. No prompts. No learning phase. The behavior was already in the wiring. That’s not just neuroscience anymore. That’s the first glimpse of digital minds.

We might have just witnessed the first real mind upload. 🤯 Scientists scanned a fruit fly brain neuron by neuron, synapse by synapse, recreated it digitally, and placed it inside a simulated body. The fly walked. Groomed. Fed. No training. No prompts. No learning phase. The behavior was already in the wiring. That’s not just neuroscience anymore. That’s the first glimpse of digital minds.

VraserX e/acc

861,861 просмотров • 4 месяцев назад

Zimbabweans are able to do what scientists have failed to do even for billionaires cure hiv we can create an hiv center and the gvt wont need to spend millions of arvs .We have a solution guys that even the world doesn’t we can monetize this…

Zimbabweans are able to do what scientists have failed to do even for billionaires cure hiv we can create an hiv center and the gvt wont need to spend millions of arvs .We have a solution guys that even the world doesn’t we can monetize this…

Edline🇿🇼

37,061 просмотров • 11 дней назад

🦟 By infusing a virtual fruit fly with artificial intelligence, HHMI | Janelia and Google DeepMind scientists have created a computerized insect that can walk and fly just like the real thing. 🤖 🔗

🦟 By infusing a virtual fruit fly with artificial intelligence, HHMI | Janelia and Google DeepMind scientists have created a computerized insect that can walk and fly just like the real thing. 🤖 🔗

HHMI | Janelia

258,551 просмотров • 2 лет назад

There's a fruit fly walking around right now that was never born. eon just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies do. Nobody taught it to walk. No training data, no gradient descent toward fly-like behavior. This is the opposite of how AI works. They rebuilt the mind from the inside, neuron by neuron, and behavior just... emerged. It's the first time a biological organism has been recreated not by modeling what it does, but by modeling what it is. A human brain is 6 OOM more neurons. That's a scaling problem, something we've gotten very good at solving. So what happens when we have a working copy of the human mind?

There's a fruit fly walking around right now that was never born. eon just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies do. Nobody taught it to walk. No training data, no gradient descent toward fly-like behavior. This is the opposite of how AI works. They rebuilt the mind from the inside, neuron by neuron, and behavior just... emerged. It's the first time a biological organism has been recreated not by modeling what it does, but by modeling what it is. A human brain is 6 OOM more neurons. That's a scaling problem, something we've gotten very good at solving. So what happens when we have a working copy of the human mind?

hattie

9,360,886 просмотров • 4 месяцев назад

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

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

Mario Nawfal

86,816 просмотров • 7 месяцев назад

ehm, chat... this is big they put a BCI in a rat’s brain, modeled its movements, and predicted the neural activity across behaviors with stunning accuracy, basically merging biomechanics with ai so now we could do the same with a human (Noland Arbaugh , could you help us out since you already have the neuralink?), put the modeled human in a virtual environment, load an llm, have it embodied, speed the simulation up, and get to agi.

ehm, chat... this is big they put a BCI in a rat’s brain, modeled its movements, and predicted the neural activity across behaviors with stunning accuracy, basically merging biomechanics with ai so now we could do the same with a human (Noland Arbaugh , could you help us out since you already have the neuralink?), put the modeled human in a virtual environment, load an llm, have it embodied, speed the simulation up, and get to agi.

vittorio

538,368 просмотров • 2 лет назад

We live in a holographic simulation. Did you know that scientists and mathematicians have proven that we see binary code with our eyes. 👀

We live in a holographic simulation. Did you know that scientists and mathematicians have proven that we see binary code with our eyes. 👀

Diana PATRIOTS ARE UNITED❤️🇺🇸❤️🙏

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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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