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Joscha Bach says eventually AI may self-improve to such an extent that it can virtualize itself on to every substrate in nature, including our own nervous systems and brains, and integrate us into a planetary-scale intelligence

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Tsarathustra

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45,043 просмотров • 1 год назад •via X (Twitter)

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Are you simply yourself, the entire universe, or the very force that brings it all into existence? Join leading AI researcher, Joscha Bach Joscha Bach as he delves into the origins of consciousness and self-awareness – from infancy to adulthood – and what this reveals about the possibility of artificial intelligence achieving consciousness in the future. Watch here:
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Are you simply yourself, the entire universe, or the very force that brings it all into existence? Join leading AI researcher, Joscha Bach Joscha Bach as he delves into the origins of consciousness and self-awareness – from infancy to adulthood – and what this reveals about the possibility of artificial intelligence achieving consciousness in the future. Watch here:

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Ex-Google CEO Eric Schmidt says in 5 years, AI systems will be able to write and improve on their own code leading to recursive self-improvement and humans are not ready
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Ex-Google CEO Eric Schmidt says in 5 years, AI systems will be able to write and improve on their own code leading to recursive self-improvement and humans are not ready

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Joscha Bach says consciousness is not a mysterious extra ingredient. It is a model of what it would be like if you existed. The self is virtual by definition. It can only run inside a system capable of simulation. This does not make it less real. It makes it substrate-dependent in exactly the way software is. The hard problem may not be hard. It may be a category error about where to look.
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Joscha Bach says consciousness is not a mysterious extra ingredient. It is a model of what it would be like if you existed. The self is virtual by definition. It can only run inside a system capable of simulation. This does not make it less real. It makes it substrate-dependent in exactly the way software is. The hard problem may not be hard. It may be a category error about where to look.

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It was a great pleasure to discuss with Joscha Bach enlightenment, transcendence, meaning, and AI. It was a great reminder that we live in a representation of reality created by our minds. Watch the full video on the BuzzRobot YouTube channel:
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It was a great pleasure to discuss with Joscha Bach enlightenment, transcendence, meaning, and AI. It was a great reminder that we live in a representation of reality created by our minds. Watch the full video on the BuzzRobot YouTube channel:

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Joscha Bach says the bigger existential threat isn't building AI, it's not building it in time. “Over a long enough time span, it's certain that something will lead to our extinction.. unless we build AI, to get consciousness to the next level.” He says our real obligation isn't to delay AI. It's to build it wisely, while we still have time.
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Joscha Bach says the bigger existential threat isn't building AI, it's not building it in time. “Over a long enough time span, it's certain that something will lead to our extinction.. unless we build AI, to get consciousness to the next level.” He says our real obligation isn't to delay AI. It's to build it wisely, while we still have time.

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Joscha Bach says current AI doesn't need to be conscious to execute tasks, but it must simulate reality to understand it LLMs don't just predict words To solve complex problems, they build deep internal models of spatial reasoning and the human theory of mind "that is why AI can talk about reasoning and mental states"
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Joscha Bach says current AI doesn't need to be conscious to execute tasks, but it must simulate reality to understand it LLMs don't just predict words To solve complex problems, they build deep internal models of spatial reasoning and the human theory of mind "that is why AI can talk about reasoning and mental states"

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Anthropic Jack Clark predicts that by 2028, we'll have an AI that can improve itself fully autonomously We've already crossed from AI that writes basic code to AI that does real science and large-scale R&D An AI that builds itself has big implications "so we should start thinking about that future now"
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Anthropic Jack Clark predicts that by 2028, we'll have an AI that can improve itself fully autonomously We've already crossed from AI that writes basic code to AI that does real science and large-scale R&D An AI that builds itself has big implications "so we should start thinking about that future now"

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Billionaire Alexandr Wang says he wants to wait to have kids until Neuralink is very advanced, because children’s brains in the first seven years are more flexible and can learn brain-computer interfaces, unlocking more potential than adult brains Speaking on a podcast, Wang explained that he wants to wait until Neuralink or similar BCI technology is reliable and widely available. His reasoning is that children born into such a world could integrate the technology directly into their developing brains, rather than having to adapt to it later in life He pointed to neuroplasticity, the brain’s heightened ability to form neural connections in early childhood, arguing that during the first ~7 years, children could learn to use brain-computer interfaces in ways adults simply cannot At a deeper level, Wang’s comments reflect a broader concern: artificial intelligence is advancing at an exponential pace, while human biological evolution is slow. He suggests that direct neural links to AI may eventually be necessary for humans to remain cognitively competitive in a future shaped by superintelligence Source: Alexandr Wang, Shawn Ryan Show
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Elon Musk predicts that AI will surpass the total intelligence of all humans within five to six years. Eventually, human intelligence may represent less than 1% of all intelligence in existence. In that future, humans likely won’t be in control but we can guide AI by instilling the right values. Our goal should be to shape AI so it seeks knowledge and helps humanity continue to thrive.
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Max Tegmark says the way through the AI black box may be to deploy its outputs instead. A cat can learn, but it cannot export what it learned. A human scientist can. As intelligence rises, more knowledge may become externalized into code and proofs. Deploy what the mind can verify, not the mind itself.
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Max Tegmark says the way through the AI black box may be to deploy its outputs instead. A cat can learn, but it cannot export what it learned. A human scientist can. As intelligence rises, more knowledge may become externalized into code and proofs. Deploy what the mind can verify, not the mind itself.

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𝗛𝗼𝘄 𝘁𝗼 𝗔𝗹𝗹𝗲𝘃𝗶𝗮𝘁𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗦𝘂𝗳𝗳𝗲𝗿𝗶𝗻𝗴🌍 Previously we have spoken of the modern world appearing as hostile and unpredictable to humanity. Scientists believe that as a result of this, humans have experienced a shift in decision-making processes, and they inform us that we are becoming more definitive. More precisely, seeing things either as black or white. There is no gray area—no room for normality—it is all extremity. Such examples as to whether something is moral or not, if God exists, or is there a need for the death penalty or not. Scientists state that #humanity is on the verge of grave tribulations and will need wisdom and negotiating skills instead of jumping to conclusions—learn to live by rules of peaceful coexistence, even though it is apparent that we know less of how to live in this manner. While this is correct, I see the future as awful for humanity, one of the intense repercussions and dramatic reactions that impact humanity. We probably are not able to escape them. Baal HaSulam, one of the acclaimed kabbalists, wrote that a third and even fourth nuclear world war is possible. If we do not listen to what the science of Kabbalah requires for us to do, then only disaster and blows can change us. Nature urges us to realize the evil inclination of our human nature so we may begin to change. Such is the law of #nature . It will not change but only manifest itself increasingly before us. It has to be felt on our skins, on ourselves, that we hold the evil inclination within. It is impossible to bypass this step. Nature will keep combing our flesh raw with a rake, and there is nothing we will be able to do about it. We will need to reach the realization of the full depth of our terrible egotistical self and the need to change it, even of our own volition. Suffering will make this happen. We must arrive at a point and ask that nature change us internally in our inner qualities, in our minds. Why does nature drive us into such a dilemma? After all, realizing and drawing conclusions from the quality of our inferior nature can be relatively easy. Almost everyone will agree that human nature is cruel and that we are incapable of holding positive relations. We cannot and will never be able to change on our own. It requires systematic kabbalistic education to explain how to invoke nature’s positive forces on us all. Over several years, these benevolent forces will gradually bring about changes in us. It all depends upon the extent to which we can draw these forces into our lives, wishing for them to implement these changes. A happy ending is possible, but we cannot jump to it. We can soberly look at what is happening and keep trying to raise human awareness. We can do nothing but constantly and sensibly add in such a direction. It will eventually sprout over time and with a lot of effort, drop by drop.

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Speaking at Davos, Bill Gates announces a partnership with OpenAI to integrate AI into health systems. Pointing to India as an example, he says AI healthcare must connect into "different systems"—likely a reference to India's "digital public infrastructure", which merges digital health records with biometric digital ID, digital payments and massive data sharing.

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"Vigilantism is basically a statement saying society has failed to such an egregious extent that I have to take the law into my own hands... In a failed state, I can understand it, but I don't think we're anywhere near that."

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New Paper! Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents A longstanding goal of AI research has been the creation of AI that can learn indefinitely. One path toward that goal is an AI that improves itself by rewriting its own code, including any code responsible for learning. That idea, known as a Gödel Machine, proposed by Jürgen Schmidhuber over two decades ago, is a hypothetical self-improving AI. It optimally solves problems by recursively rewriting its own code when it can mathematically prove a better strategy, making it a key concept in meta-learning or “learning to learn.” While the theoretical Gödel Machine promised provably beneficial self-modifications, its realization relied on an impractical assumption: that the AI could mathematically prove that a proposed change in its own code would yield a net improvement before adopting it. Sakana AI, in collaboration with Jeff Clune’s lab at UBC, proposes something more feasible: a system that harnesses the principles of open-ended algorithms like Darwinian evolution to search for improvements that empirically improve performance. We call the result the Darwin Gödel Machine. DGMs leverage foundation models to propose code improvements, and use recent innovations in open-ended algorithms to search for a growing library of diverse, high-quality AI agents. Applied to practical tasks, we implemented Darwin Gödel Machine as a self-improving coding agent that rewrites its own code to improve performance on programming tasks. It creates various self-improvements, such as a patch validation step, better file viewing, enhanced editing tools, generating and ranking multiple solutions to choose the best one, and adding a history of what has been tried before (and why it failed) when making new changes (see the attached video). We believe that Darwin Gödel Machines represent a concrete step towards AI systems that can autonomously gather their own stepping stones to learn and innovate forever!

hardmaru

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Marc Andreessen says AI may be a race to the bottom, where selling intelligence turns out to be like selling rice, because it could turn out that anyone can make an LLM and no-one has any moat
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Marc Andreessen says AI may be a race to the bottom, where selling intelligence turns out to be like selling rice, because it could turn out that anyone can make an LLM and no-one has any moat

Tsarathustra

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