Re:Large Language Models: Scaling Laws and Emergent Properties
by hooloovoo_zoo on Thursday April 20, 2023 @08:42PM
(#35648475)
That implies a lookup table requires me to provide a citation :) In fact, assuming space is not discrete, not only can a neuron be in any of infinite states, per quantum mechanics it can be in multiple at the same time.
Re:Large Language Models: Scaling Laws and Emergent Properties
by cjbprime on Thursday April 20, 2023 @09:20PM
(#35648746)
The lookup table says I should tell you that quantum mechanics applies to subatomic particles, not very large objects like neurons.
(Would it bother you to be corrected by a lookup table?)
Re:Large Language Models: Scaling Laws and Emergent Properties
by hooloovoo_zoo on Thursday April 20, 2023 @09:45PM
(#35648897)
Schrödinger's cat will be so relieved!
Re:Large Language Models: Scaling Laws and Emergent Properties
by jachee on Thursday April 20, 2023 @09:48PM
(#35648915)
How does that hold in the case that connections among neurons exchange state information via subatomic particles?
Re:Large Language Models: Scaling Laws and Emergent Properties
by og_kalu on Thursday April 20, 2023 @09:29PM
(#35648810)
quantum mechanics ? you think quantum mechanics is applicable for neurons ? i know it's fashionable to speak on topics one clearly has no clue about but you'd think the name would give it away
Re:Large Language Models: Scaling Laws and Emergent Properties
by akomtu on Thursday April 20, 2023 @09:47PM
(#35648911)
Neurons apparently contain microscopic tubes that make use of some quantum effects:
https://phys.org/news/2014-01-discovery-quantum-vibrations-m...
Re:Large Language Models: Scaling Laws and Emergent Properties
by og_kalu on Thursday April 20, 2023 @10:08PM
(#35649016)
The user was implying neurons could be in multiple states at the same time because...quantum mechanics. Wrong conclusion even from this link.
Re:Large Language Models: Scaling Laws and Emergent Properties
by hooloovoo_zoo on Thursday April 20, 2023 @09:47PM
(#35648912)
Since we're providing citations :) https://iopscience.iop.org/article/10.1088/2399-6528/ac94be
Re:Large Language Models: Scaling Laws and Emergent Properties
by og_kalu on Thursday April 20, 2023 @10:06PM
(#35649005)
That doesn't mean that neurons could be in multiple states at the same time which is what you were implying. That particular assertion is still horribly wrong.
Re:Large Language Models: Scaling Laws and Emergent Properties
by hooloovoo_zoo on Thursday April 20, 2023 @10:21PM
(#35649086)
'...the assumed brain function producing entanglement, must use a kind of quantum distillation process on mixed states.'
Re:Large Language Models: Scaling Laws and Emergent Properties
by og_kalu on Thursday April 20, 2023 @10:50PM
(#35649261)
again, that doesn't mean neurons can exist in multiple states. There is also no also indication higher level computational functions in the brain responsible for reasoning or whatever have you require any quantum computations.
==
Me: Is it true that, in humans, one neuron has an infinite number of possible states (as far as we know)?
GPT-4: It is not accurate to say that a single neuron in humans has an infinite number of possible states. Neurons are complex cells that can exhibit a wide range of behaviors and responses, but the number of states is not infinite.
Neurons communicate with each other through electrical and chemical signals, and their primary functional unit is the synapse, where communication between neurons occurs. The strength and patterns of these connections can vary, resulting in a large number of potential states for a single neuron. However, this number is still finite, albeit extremely large.
Moreover, the activity of a neuron can be described in terms of its membrane potential, which is a continuous variable ranging from hyperpolarized to depolarized states. While there are many possible values for the membrane potential, it is still a bounded range, not infinite.
So, while the number of possible states for a single neuron is vast and complex, it is not infinite. The complexity and diversity of neuronal states contribute to the rich repertoire of cognitive and behavioral functions that humans possess.