Help me understand what you mean by “reductionism”. What parts do you believe I’m simplifying or overlooking? Also, could you explain why you think being alive is essential for understanding? Shifting the goalposts makes it difficult to discuss this productively. I’ve also provided evidence for my claims, while I haven’t seen any from you. If we focus on sharing evidence to clarify our arguments, we can both avoid bad faith maneuvering.
Besides, that article doesn’t really support your statement, it just shows that a neural network can link words to pictures, which we know.
It does, by showing it can learn associations with just limited time from a human’s perspective, it clearly experienced the world.
That last sentence you wrote exemplifies the reductionism I mentioned:
It does, by showing it can learn associations with just limited time from a human’s perspective, it clearly experienced the world.
Nope that does not mean it experienced the world, that’s the reductionist view. It’s reductionist because you said it learnt from a human perspective, which it didn’t. A human’s perspective is much more than a camera and a microphone in a cot. And experience is much more than being able to link words to pictures.
In general, you (and others with a similar view) reduce complexity of words used to descibe conciousness like “understanding”, “experience” and “perspective” so they no longer carry the weight they were intended to have. At this point you attribute them to neural networks which are just categorisation algorithms.
I don’t think being alive is necessarily essential for understanding, I just can’t think of any examples of non-living things that understand at present. I’d posit that there is something more we are yet to discover about consciousness and the inner workings of living brains that cannot be fully captured in the mathematics of neural networks as yet. Otherwise we’d have already solved the hard problem of consciousness.
I’m not trying to shift the goalposts, it’s just difficult to convey concisely without writing a wall of text. Neither of the links you provided are actual evidence for your view because this isn’t really a discussion that evidence can be provided for. It’s really a philosophical one about the nature of understanding.
Nope that does not mean it experienced the world, that’s the reductionist view. It’s reductionist because you said it learnt from a human perspective, which it didn’t. A human’s perspective is much more than a camera and a microphone in a cot. And experience is much more than being able to link words to pictures.
What about people without fully able bodies or minds, do they not experience the world, is their’s not a human perspective? Some people experience the world in profoundly unique ways, enriching our understanding of what it means to be human. This highlights the limitations of defining “experience” this way.
Also, Please explain how experience is much more than being able to link words to pictures.
In general, you (and others with a similar view) reduce complexity of words used to descibe conciousness like “understanding”, “experience” and “perspective” so they no longer carry the weight they were intended to have. At this point you attribute them to neural networks which are just categorisation algorithms.
You’re overstating the significance of things like “understanding” and imbuing them with mystical properties without defining what you actually mean. This is an argument from incredulity, repeatedly asserting that neural networks lack “true” understanding without any explanation or evidence. This is a personal belief disguised as a logical or philosophical claim. If a neural network can reliably connect images with their meanings, even for unseen examples, it demonstrates a level of understanding on its own terms.
I don’t think being alive is necessarily essential for understanding, I just can’t think of any examples of non-living things that understand at present. I’d posit that there is something more we are yet to discover about consciousness and the inner workings of living brains that cannot be fully captured in the mathematics of neural networks as yet. Otherwise we’d have already solved the hard problem of consciousness.
Your definitions are remarkably vague and lack clear boundaries. This is a false dilemma, you leave no room for other alternatives. Perhaps we haven’t solved the hard problem of consciousness, but neural networks can still exhibit a form of understanding. You also haven’t explained how the hard problem of consciousness is even meaningful in this conversation in the first place.
I’m not trying to shift the goalposts, it’s just difficult to convey concisely without writing a wall of text. Neither of the links you provided are actual evidence for your view because this isn’t really a discussion that evidence can be provided for. It’s really a philosophical one about the nature of understanding.
Understanding isn’t a mystical concept. We acknowledge understanding in animals when they react meaningfully to the unfamiliar, like a mark on their body. Similarly, when a LLM can assess skill levels in a complex game like chess, it demonstrates a form of understanding, even if it differs from our own. There’s no need to overcomplicate it; like you said, it’s a sliding scale, and both animals and LLMs exhibit it in ways that are relevant.
Animals understand.
Yes sorry probably shouldn’t have used the word “human”. It’s a concept that we apply to living things that experience the world.
Animals certainly understand things but it’s a sliding scale where we use human understanding as the benchmark.
My point stands though, to attribute it to an algorithm is strange.
I’m starting to wonder about you though.
Well it was a fun ruse while it lasted.
You don’t have to be a living thing to experience the world.
Yes you do unless you have a really reductionist view of the word “experience”.
Besides, that article doesn’t really support your statement, it just shows that a neural network can link words to pictures, which we know.
Help me understand what you mean by “reductionism”. What parts do you believe I’m simplifying or overlooking? Also, could you explain why you think being alive is essential for understanding? Shifting the goalposts makes it difficult to discuss this productively. I’ve also provided evidence for my claims, while I haven’t seen any from you. If we focus on sharing evidence to clarify our arguments, we can both avoid bad faith maneuvering.
It does, by showing it can learn associations with just limited time from a human’s perspective, it clearly experienced the world.
That last sentence you wrote exemplifies the reductionism I mentioned:
Nope that does not mean it experienced the world, that’s the reductionist view. It’s reductionist because you said it learnt from a human perspective, which it didn’t. A human’s perspective is much more than a camera and a microphone in a cot. And experience is much more than being able to link words to pictures.
In general, you (and others with a similar view) reduce complexity of words used to descibe conciousness like “understanding”, “experience” and “perspective” so they no longer carry the weight they were intended to have. At this point you attribute them to neural networks which are just categorisation algorithms.
I don’t think being alive is necessarily essential for understanding, I just can’t think of any examples of non-living things that understand at present. I’d posit that there is something more we are yet to discover about consciousness and the inner workings of living brains that cannot be fully captured in the mathematics of neural networks as yet. Otherwise we’d have already solved the hard problem of consciousness.
I’m not trying to shift the goalposts, it’s just difficult to convey concisely without writing a wall of text. Neither of the links you provided are actual evidence for your view because this isn’t really a discussion that evidence can be provided for. It’s really a philosophical one about the nature of understanding.
What about people without fully able bodies or minds, do they not experience the world, is their’s not a human perspective? Some people experience the world in profoundly unique ways, enriching our understanding of what it means to be human. This highlights the limitations of defining “experience” this way.
Also, Please explain how experience is much more than being able to link words to pictures.
You’re overstating the significance of things like “understanding” and imbuing them with mystical properties without defining what you actually mean. This is an argument from incredulity, repeatedly asserting that neural networks lack “true” understanding without any explanation or evidence. This is a personal belief disguised as a logical or philosophical claim. If a neural network can reliably connect images with their meanings, even for unseen examples, it demonstrates a level of understanding on its own terms.
Your definitions are remarkably vague and lack clear boundaries. This is a false dilemma, you leave no room for other alternatives. Perhaps we haven’t solved the hard problem of consciousness, but neural networks can still exhibit a form of understanding. You also haven’t explained how the hard problem of consciousness is even meaningful in this conversation in the first place.
Understanding isn’t a mystical concept. We acknowledge understanding in animals when they react meaningfully to the unfamiliar, like a mark on their body. Similarly, when a LLM can assess skill levels in a complex game like chess, it demonstrates a form of understanding, even if it differs from our own. There’s no need to overcomplicate it; like you said, it’s a sliding scale, and both animals and LLMs exhibit it in ways that are relevant.