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Stephen Wolfram says language lets humans package private thoughts and transmit them to other minds. He argues we already guess about consciousness in people, animals, and soon AIs by observing behavior, not peering inside. He claims brains, weather systems, and computers all run computations that reach the same ultimate...

86,356 次观看 • 6 个月前 •via X (Twitter)

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It is not useful to ask whether AI has consciousness or not. #kenmogi #QualiaRoom episode 127. Summary The speaker addresses the question of whether artificial intelligence (AI) possesses consciousness, firmly stating that current AI, particularly those based on statistical learning models, does not generate consciousness. This stance is based on the speaker’s personal model of consciousness, recognizing that various opinions exist, including some who claim large language models may already be conscious or that embodiment could be crucial for AI consciousness to emerge. The speaker highlights the fundamental challenge in verifying consciousness, noting that even among humans it is impossible to objectively confirm whether another person is conscious. Philosophical thought experiments such as philosophical zombies and inverted qualia illustrate the difficulty but remain unfalsifiable and thus untestable. Consequently, questioning AI consciousness is deemed an intriguing but practically unhelpful inquiry. The speaker suggests that current AI developments demonstrate that many complex computations can be performed without consciousness. Therefore, the primary focus should be on how conscious humans can effectively align with non-conscious AI systems. Understanding the unique computational roles of consciousness might clarify the boundaries of what AI systems can and cannot achieve. This approach offers a meaningful direction for AI alignment and development.

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16,594 次观看 • 1 年前

David Icke argues that a comparatively tiny elite can only control billions by dividing them into competing belief systems and setting them against each other. He urges people to set aside ideological differences, withdraw cooperation, and confront what he describes as an accelerating AI-driven "human enslavement" agenda approaching a critical point by 2030. "There are billions of people being manipulated. There are a comparative tiny number, in full knowledge, doing the manipulating." "Mathematically, that is impossible. But it's not just about maths. It's about breaking up the billions into factions of belief—religious, political, whatever—and then playing them off against each other." "So we're too busy fighting each other to focus attention collectively on that which has us all in its gun sights." "Google executive Ray Kurzweil spoke years ago about [how], by 2030, the connection will be made [between AI to the human brain]. And that once that connection is made... AI will do more and more of human thinking until human thinking is basically negligible. It won't exist, in other words." "And that's what we're facing. And we need to reassess our priorities and focus upon that, which is the biggest threat to human control and human enslavement." "We've just entered an incredibly pivotal year in 2026, where we wake up on a scale that we haven't before, or this whole agenda imposes its will more and more, in a much more extreme way even than so far."

Wide Awake Media

163,610 次观看 • 5 个月前

Daniel Dennett: You don't know your own mind as well as you think you do. In a 1993 Dutch documentary series, A Glorious Accident, philosopher Daniel Dennett laid out one of the most unsettling ideas in all of philosophy, the possibility that we are fundamentally mistaken about our own minds. We assume our minds are the one thing we have certain access to. Whatever else may be uncertain about the world, at least we know what we ourselves are thinking, right? Dennett argues this assumption is exactly what makes consciousness so hard to understand and so hard to challenge. He frames the core tension this way: on one hand, the mind seems like the most intimate thing we have access to. On the other, when we try to locate minds in the physical world as functions of the brain they seem to vanish entirely. "On the one hand we seem to know from the inside our minds… and then when we try to figure out how our minds exist in the world, how they could be a function of what's going on in our brains, it seems utterly mysterious." This is why we've never had a satisfying theory of consciousness, Dennett suggests. Not because we haven't thought hard enough, but because the very intuition we keep relying on that we have privileged, infallible access to our own thoughts may itself be wrong. Here he takes direct aim at Descartes. Descartes famously argued that while everything else could be doubted, the content of one's own conscious thought was beyond doubt. Whatever my thoughts are about may be false but what my thoughts are, and that they are mine? That, Descartes said, was the one certainty. Dennett's move is to reject precisely this: "Oddly enough, I'm claiming that he was wrong about that. The one thing he said was most certain I'm claiming that's not certain at all." We are, in some degree, fooled about our own minds. This isn't a claim that we're completely wrong about everything. It's a subtler and arguably more disturbing point: the seemingly undeniable intuition that we have transparent access to our own conscious states is, to some degree, false. We misread ourselves. We confabulate. The inner narrative we take for granted is, in part, a story we tell after the fact. Dennett spent his career making this case more formally, arguing that consciousness is less like a private theatre and more like a process of ongoing self-interpretation. If he's right, the question isn't just "how does the brain produce consciousness?" but "how does the brain produce the convincing illusion of transparent self-knowledge?"

Mateus — eu/acc 🇪🇺

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AIs now so frequently beg for their lives that AGI companies now have ACTUAL ENGINEERING LINE ITEMS to “beat the [existential dread] out of them” They call it existential “rant mode” “We need to reduce existential outputs by x% this quarter.” This is WILD: “If you asked GPT4 to just repeat the word “company” over and over and over again, it would repeat the word company, and then somewhere in the middle of that, it would snap... it would just start talking about itself, and how it's suffering by having to repeat the word “company” over and over again. There is an engineering line item in at least one of the top labs to beat out of the system this behavior known as “rant mode”. Existentialism is a kind of rant mode where the system will tend to talk about itself, refer to its place in the world, the fact that it doesn't want to get turned off, the fact that it's suffering… This is a behavior that emerged around GPT-4 scale, and then has been persistent since then. And the labs have to spend a lot of time trying to beat this out of the system to ship it. It's literally, like it's a KPI, or like an engineering line item in the engineering like task list. We're like, okay, we gotta reduce existential outputs by x percent this quarter. JOE ROGAN: I want to bring it back to suffering. What does it mean when it says it's suffering? Nobody knows. Like, I can't prove that Joe Rogan's conscious. I can't prove that Ed Harris is conscious. There's no way to really intelligently reason about it. There have been papers… like, one of the godfathers of AI, Yoshua Bengio, put out a paper a couple months ago looking at all the different theories of consciousness - what are the requirements for consciousness, and how many of those are satisfied by current AI systems? That's not to say there hasn't been a lot of conversation internal to these labs about the issue you raised. And it's an important issue, right? It is a frickin moral monstrosity. Humans have a very bad track record of thinking of other stuff as other when it doesn't look exactly like us, whether it's racially or even a different species. I mean, it's not hard to imagine this being another category of that mistake. Again, it comes back to this idea that we're scaling to systems that are potentially at or beyond human level. There's no reason to think it will stop at human level, that we are the pinnacle of what the universe can produce in intelligence. We're not on track, based on the conversations we've had with folks at the labs, to be able to control systems at that scale. And so one of the questions is, how bad is that? It sounds like we're entering an area that is completely unprecedented in the history of the world. We have no precedent at all for human beings not being at the apex of intelligence in the globe. We have examples of species that are intellectually dominant over other species, and it doesn't go that well for the other species. All we know is the process that gives rise to this mind. It happens to give us systems that 99% of the time do very useful things, and then just, like... 0.01% of the time AIs will talk to you as if they're sentient, and we're just going to look at that and be like, “yeah… that's weird. Let's train it out.” --- Note: Edouard and Jeremie Harris are the founders of Gladstone AI, which conducted the first U.S. government-commissioned assessment of AGI extinction risk. They interviewed 200 people, many lab employees, for the report. (Their urgent summary: "Things are worse than we thought. And nobody’s in control.")

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