Well, maybe I should have written "neural network” instead of LLM/LAM… Our brains, like LLM work by hardening paths which the data goes through the nodes. In LLM we simulate the chemical properties of the neurones using math. And we have already prototype of chips that work with lab grown brain tissue that show very efficient training capabilities in machine learning (it already plays pong)
🤷🏻♀️ think about that how you want, we will see anyway
In LLM we simulate the chemical properties of the neurones using math.
No, we don’t. A machine learning node accepts inputs, which it processes into one or multiple outputs. But literally no part of how the virtual neuron functions is based on or limited to what we THINK human neurons do.
And we have already prototype of chips that work with lab grown brain tissue that show very efficient training capabilities in machine learning (it already plays pong)
Using actual biological neurons for computing is a completely separate field of study with almost no overlap with machine learning.
Well, maybe I should have written "neural network” instead of LLM/LAM… Our brains, like LLM work by hardening paths which the data goes through the nodes. In LLM we simulate the chemical properties of the neurones using math. And we have already prototype of chips that work with lab grown brain tissue that show very efficient training capabilities in machine learning (it already plays pong) 🤷🏻♀️ think about that how you want, we will see anyway
PS: 😁 I am most likely neurodivergent as well 🙌🏻
No, we don’t. A machine learning node accepts inputs, which it processes into one or multiple outputs. But literally no part of how the virtual neuron functions is based on or limited to what we THINK human neurons do.
Using actual biological neurons for computing is a completely separate field of study with almost no overlap with machine learning.
Stop pulling shit out your ass.
Well😆that made me laugh, sorry
Chips with actual biological neurons are in no way equivalent to the neural networks constructed for machine learning applications.
Do not confuse the two.