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Nick Bostrom says AI is already showing creativity by building on learned patterns, much like the human brain We build on what others discovered, make new leaps from it, and call that creativity "whatever the brain can do, machines will do better and faster, with more compelling symphonies"

Haider.

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11,046 views • 3 months ago •via X (Twitter)

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Nick Bostrom says AGI would not stop at the human level It would quickly become a superintelligence, with machine minds able to outthink even the best scientists and artists "it's really the last invention we will ever need to make" After that, machines would drive faster and better inventions on their own

Nick Bostrom says AGI would not stop at the human level It would quickly become a superintelligence, with machine minds able to outthink even the best scientists and artists "it's really the last invention we will ever need to make" After that, machines would drive faster and better inventions on their own

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Nick Bostrom says AGI won’t stop at the human level, it will quickly lead to superintelligence Machine minds will outthink the best scientists and artists. "it’s the last invention we’ll ever need" From there, machines will invent everything else -- faster and better than humans

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Geoffrey Hinton says the more we understand how AI and the brain actually work, the less human thinking looks like logic. We're not reasoning machines, he says. We're analogy machines. We think by resonance, not deduction. “We're much less rational than we thought.”

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vitrupo

770,385 views • 1 year ago

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)

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)

Rohan Paul

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Nicolas Winding Refn on AI: “Having now tried it on something later on that may show here, I really love the creativity. For me, it’s like a brush. And obviously, no one really knows all the implications of what this is going to do and what’s going to happen, but from the perspective of creativity it’s a new invention. And then it’s what you’re going to do with it.”

Nicolas Winding Refn on AI: “Having now tried it on something later on that may show here, I really love the creativity. For me, it’s like a brush. And obviously, no one really knows all the implications of what this is going to do and what’s going to happen, but from the perspective of creativity it’s a new invention. And then it’s what you’re going to do with it.”

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Nick Bostrom says the human brain is not the ceiling for intelligence Our brains are small, slow, and limited by biology, while machines can scale far beyond those constraints "in the long run, cognitive systems could surpass not only any individual human, but even our collective intelligence"

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🇺🇸 Joe Rogan & Nick Bostrom drop a chilling warning about AI’s hidden cost. As tools like Grok get insanely faster, smarter, and more capable every month… Are we slowly outsourcing our own brains? Rogan and philosopher Nick Bostrom break it down: the real danger might not be AI replacing humans, but humans becoming so dependent on AI for answers, decisions, creativity, and problem-solving that critical thinking starts to atrophy. “Convenience today could reshape how society thinks tomorrow.” Are we getting lazier thinkers in exchange for smarter machines? Joe Rogan / Writer: Val

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Ilya Sutskever says the real challenge of AI is how fast and extreme its growth will be it still has limits, but it already speaks, codes, and interacts in ways once impossible soon, perhaps within 3 to 10 years, AI will be able to do everything humans can do the reason: "the human brain is a biological computer, so why can't a digital brain do the same?"

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The Human Renaissance: Bitcoin, AI & the Return of Human Creativity Bitcoin saves the time we've spent. AI multiplies what we can do with the time ahead. Together, a renaissance is born. We got paper money and paperwork. Let's give our children Bitcoin and cathedrals (in space)

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Geoffrey Hinton says AI models understand in the same way that people do and the best model we have of how the human brain works is large language models

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ClickUp's Brain AI will now be able to create agents on its own! > Brain now spots when a task is worth handing off and offers to build a dedicated agent. > It ships preconfigured, with triggers, rules, and scope already in place. > Work keeps moving after Brain finishes, with the agent owning the recurring side. Users can ask Brain to triage incoming bugs once, and it will then propose a standing agent that monitors new reports, assigns severity, flags duplicates, and automatically files tasks.

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A lot has been done already on European defence. But we need to do more. We need to do it better, stronger, faster. And we need to do it together. Now, the time has come to make choices and take decisions. #EgmontRetreat

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This New Jersey bill would essentially ban Tesla Tesla Robotaxi in the state. Elon Musk has explained this before. Roads were designed for humans who drive with 2 eyes and a brain. Tesla drives with 8 cameras as eyes and an AI chip performing hundreds of trillions of operations per second as a brain, which is faster and more accurate than any human on the road. Adding extra sensors doesn't make the car safer. It only adds noise to a system that already sees more than we do. I wish more lawmakers would take the time to understand the technology before writing bills that hold America's innovation back.

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14,158 views • 16 days ago

Meta's new AI can predict your brain better than a brain scan. TRIBE v2 is a foundation model trained on 1,000+ hours of brain imaging data from 720 people. You feed it a video, sound clip, or text, and it predicts: > Which brain regions light up > How strongly > And in what order When tested on people it had never seen, the model's predictions were actually more accurate than most real brain scans (which get distorted by heartbeats, breathing, and movement). Researchers then replicated decades of classic neuroscience experiments entirely inside the software. No scanner, no human subjects. The model correctly identified the brain's face recognition center, language network, and emotional processing regions on its own. But look at what else Meta has been building: > Ray-Ban smart glasses that see and hear what you do > A wristband that reads nerve signals > And now a model that predicts how your brain responds to any piece of content There's no evidence these are all connected... but Meta now has a complete picture of attention, from the stimulus to the neural response.

Meta's new AI can predict your brain better than a brain scan. TRIBE v2 is a foundation model trained on 1,000+ hours of brain imaging data from 720 people. You feed it a video, sound clip, or text, and it predicts: > Which brain regions light up > How strongly > And in what order When tested on people it had never seen, the model's predictions were actually more accurate than most real brain scans (which get distorted by heartbeats, breathing, and movement). Researchers then replicated decades of classic neuroscience experiments entirely inside the software. No scanner, no human subjects. The model correctly identified the brain's face recognition center, language network, and emotional processing regions on its own. But look at what else Meta has been building: > Ray-Ban smart glasses that see and hear what you do > A wristband that reads nerve signals > And now a model that predicts how your brain responds to any piece of content There's no evidence these are all connected... but Meta now has a complete picture of attention, from the stimulus to the neural response.

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29,939 views • 3 months ago

Emad Mostaque says by next year, AI reasoning models like OpenAI's o1 and DeepSeek's R1 will run on smartphones and perform PhD-level tasks with 20 watts of electricity - equivalent to the human brain

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157,136 views • 1 year ago