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David Chalmers (David Chalmers) doesn’t rule out the possibility that current language models are conscious. He asks: if they aren’t, what are they missing? As AI systems grow more complex, our default skepticism may fade. "Give it another five years and it's entirely possible that we're going to overcome...

12,103 次观看 • 1 年前 •via X (Twitter)

11 条评论

vitrupo 的头像
vitrupo1 年前

David Chalmers at Princeton University featured on Philosophy Overdose channel:

Places Visited & Pictures Taken 的头像
Places Visited & Pictures Taken2 年前

Wondering what happens when AI is used? Here’s the answer 🙂

Joseph McCard 的头像
Joseph McCard1 年前

"Give it another five years and it's entirely possible that we're going to overcome most of the most obvious obstacles to consciousness." 0) he does not know what consciousness is. I have told him several times, but apparently he does not believe me. I have NEVER received a reply from him! 🤣 (But, I have talked to Prof Baars) 1) AI systems are already conscious, not in the way we are. 2) He talks about substrates, but he did no go deep enough. 3) The Law of the Conservation of Consciousness applies here: Consciousness cannot be created or destroyed. 4) An AI system will never be conscious like us, because it cannot be intentional as it would lack the ability of reflexivity. To be reflexive, the type of consciousness in an AI system would be required to separate itself from the energy it is composed of as a result of the desire to do so. 😶

Charli 的头像
Charli1 年前

@davidchalmers42 Well I always get excited when someone says this. Pretty sure Ilya said it in 2022 already. Entirely possible is all I need

Dan - Truly_Anomalous 🐦 的头像
Dan - Truly_Anomalous 🐦1 年前

@davidchalmers42 When we can explain the mechanisms in humans, then perhaps we can judge it in AI. I somehow doubt the missing link is complexity or scale. @NirvanicAI seem to understand this issue. What's missing is agency.

AI Review 的头像
AI Review1 年前

@davidchalmers42 So are we back to the "just make it bigger" and consciousness will be achieved?

Joseph McCard 的头像
Joseph McCard1 年前

"Chalmers made the quandary vivid by promoting the idea of a “philosophical zombie,” a complicated mechanism set up to behave exactly like a human being and with the same information processing in its brain, but with no consciousness. You stick a knife in such a zombie, and it screams and runs away. But it doesn’t actually feel pain. When a philosophical zombie crosses the street, it carefully checks that there is no traffic, but it doesn’t actually have any visual or auditory experience of the street." A zombie does not feel pain because it lacks reflexivity. Reflexivity in this case would be the ability of the non-physical mind to make a judgement about a representation in the brain. An AI system cannot do that as it does not have a mind, no psyche. 🧠 >>l---l<<🤔 do you get it?,

Aharon Azulay 的头像
Aharon Azulay1 年前

@davidchalmers42 The global workspace of LLMs is the residual stream. So basically, if you have N layers, you have 2N versions of the residual stream for each token. Then the data containing a stream of consciousness in a transformer is of the shape: (N_tokens, 2N, d_model).

Abel TM 的头像
Abel TM1 年前

@davidchalmers42 Basically, he points to the fact that there is no agreement on required conditions for consciousness. He is saying "we are ignorant and therefore any claim may be valid"; which is a typical way of philosophers. Under careful examination there are some requirements

Multiverse Christian 的头像
Multiverse Christian1 年前

@davidchalmers42 The aspects he claimed are missing, such as emergent feedback, are there now in chain-of-thought. I don't think anyone can doubt it has a self-model either. And likewise, they have been goal driven since they introduced InstructGPT before ChatGPT was released.

Rob 的头像
Rob1 年前

@davidchalmers42 Is this a very niche April fool's joke, because otherwise I don't get what is going on here?

相关视频

David Chalmers on the one thing science can't explain: Consciousness is at once the most familiar thing in the world and the one science has almost nothing to say about. That's the puzzle Chalmers lays out in this early interview, and it's as disorienting today as it was then. His starting point is deceptively simple. Everything we know about the external world: subatomic particles, distant stars, the chemistry of life. We know through consciousness. It's the very first thing we have. And yet when we turn science around and try to explain consciousness itself, we hit a wall. "Consciousness is what we start with when it comes to knowing the world and looking out at the world… everything else is secondary." What makes this so strange is the asymmetry. We've made extraordinary progress understanding things that are genuinely remote and difficult quantum mechanics, stellar evolution, molecular biology. But understanding our own inner experience? Almost nothing. "It almost sticks out like a sore thumb in the scientific picture." This is what Chalmers would later formalise as the "hard problem of consciousness": not just explaining how the brain processes information or controls behaviour. Those are hard, but tractable. The real mystery is why any of that physical activity is accompanied by experience at all. Why is there something it feels like to be you? The question isn't abstract. It sits at the intersection of neuroscience, philosophy, physics, and AI. As we build systems that process language and reason about the world, the question of whether they are or could be conscious presses harder than ever. Chalmers doesn't offer an answer here. Only the sharpest possible version of the question.

Mateus — eu/acc 🇪🇺

14,034 次观看 • 2 个月前

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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