This needs more tests. It looks like current results are the combination of how braincells naturally filter the experience if sound and ai on top of that.
It looks like the brain actually does recognize voices as different but we need an ai to read this from the brain. I am curious how much better this performs then just pure ai.
Id alo like to know how the brain got exposed to sound cause irl an organic microphone is an ear, is it a brain with ears?
Even if not better then just ai voice recognition. Sending experiences trough neural matter and using ai to analyze the way it responds will learn us a lot about how the brain actually works.
The description in the article sounds like they hooked the neurons to electrodes and fed the “voice” in as electrical impulses, and then used software to look at the neuron responses and determined they could tell which voice it was.
That doesn’t really seem very significant in itself. Of course if you give different inputs you’ll get different responses, and you can map those responses to those inputs when there’s no other complexity going on. It feels like a very very preliminary study being reported in a bit if a sensational way.
Your last para is likely the important one. Rather then this being some idea to make things more efficient. It was likely done purely to see how human brain cells function. This may long term lead to more effective solutions by mimicking the ideas learned. But ATM we really still do not know how much we don’t know about the human brain.
This needs more tests. It looks like current results are the combination of how braincells naturally filter the experience if sound and ai on top of that.
It looks like the brain actually does recognize voices as different but we need an ai to read this from the brain. I am curious how much better this performs then just pure ai.
Id alo like to know how the brain got exposed to sound cause irl an organic microphone is an ear, is it a brain with ears?
Even if not better then just ai voice recognition. Sending experiences trough neural matter and using ai to analyze the way it responds will learn us a lot about how the brain actually works.
The description in the article sounds like they hooked the neurons to electrodes and fed the “voice” in as electrical impulses, and then used software to look at the neuron responses and determined they could tell which voice it was.
That doesn’t really seem very significant in itself. Of course if you give different inputs you’ll get different responses, and you can map those responses to those inputs when there’s no other complexity going on. It feels like a very very preliminary study being reported in a bit if a sensational way.
Your last para is likely the important one. Rather then this being some idea to make things more efficient. It was likely done purely to see how human brain cells function. This may long term lead to more effective solutions by mimicking the ideas learned. But ATM we really still do not know how much we don’t know about the human brain.