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You don't need to understand how neurons work in detail to be able to use them to do something. In the past, we were able to use electricity for various purposes without knowing about electrons.
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But my point is: have we really reached a technological level where we can use neurons like replaceable car parts? That video seems to suggest yes, but I’m still skeptical.

My impression is that this company is offering a product that’s still beyond our technological capabilities, much like the cold‑fusion startups that pop up from time to time.

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I haven’t looked into it deeply either.

To my knowledge, we understand how an individual neuron works quite well. We just don’t really understand macro effects in large networks of neurons.

The video seems buzz wordy. Without looking into this too deeply, it seems like they’re using neurons individually or in small groups rather than creating a true “brain”. I would guess they’re using neurons or small groups of them sort of like transistors that do a single basic thing rather than a full “brain” that they just feed images to.

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Maybe I wasn’t explicit about this point, but I’m not only talking about understanding the biological processes behind a neuron. I’m also talking about our ability to manipulate them in something like an industrial process, combining them with hardware in a controlled way and achieving reliable results.

Cells have a metabolism, right? They need to be fed and require a specific environment to survive. They age and can die, and they can be attacked by other microorganisms. Are all of these problems solved and applicable on an industrial scale? I had no idea.

Why aren’t we fixing people’s retinas and paraplegia if we can manipulate neurons with that level of precision?

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From their video it just comes across as they stimulate different left/right neurons depending on where the enemy is on screen and then listen to some output that also says left/right. Shooting looks completely random, to be frank.

If you connected electrodes to two different fish, shocked them and interpreted twitching as intelligent output, fish could also play Doom. The interface is doing all the work.

It doesn't sound like the neurons have any concept of the game other than "left input means left output", which is a rather trivial result... It's effectively no different than the pong example.

They don't say anything on how much training is required for this to happen, or if there's any "learning" going on at all. The learning part is "next".

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