There’s a video on YouTube where someone has managed to train a network of rat neurons to play doom, the way they did it seems reminiscent of how we train ML models
I am under the impression from the video that real neurons are a lot better at learning than simulated ones (and much less power demanding)
Could any ML problems, such as natural language generation be solved using neurons instead and would that be in any way practical?
Ethically at this point is this neuron array considered conscious in any way?
I’ve trained mine to emulate a LLM. So far the hallucination feature works perfectly. Basic grammar still lacks a bit.
The idea that LLMs are just like how the brain works, except limited by running in a CPU, comes from software engineers - not neuroscientists.
Although there are many analogies that could be made between how CPUs do work and how the brain integrates information, they’re actually fundamentally different and use completely different logic.
You could, theoretically, create a computing language to work using neurons. And therefore you could also train machine learning algorithms. But that’s like using calculators to sum 2+2 by buying 4 calculators and putting them all together, rather than actually using what a calculator does to get the result, if you get what I mean.
Go home, Elon, you’re drunk.
But if we can train neurons to emulate human emotions and then put them into the neurolink, I can finally know what emotions are
The concept of ML comes from neurons/the brain. If we could use the neurons we’d be way ahead, and that’s basically the hard part. If it will ever be feasible I don’t know.
Brains have a lot more connections and meaningful ways of communicating compared to our silly signals and weights. This may be the barrier to AGI
We can use neurons. I’m not sure we’re very good at it but people have used them for small tasks
Cortical Labs certainly hope so: https://wired.me/science/this-startup-grows-brain-cells-on-ai-chips/
But outside of the context of computing on devices: yes, as others have noted, the neurons we’re trying to simulate in machine learning models aren’t much different than our own. So, just look at any person to see how well neurons are suited to language/etc. workloads (or not, depending how clever the people around you are 😂)
As to ethics, consciousness is an “emergent phenomenon”. It seems to arise, near as we can tell, from the interaction of many simple systems. No single cell or cluster thereof in a brain is conscious, but get them all working nearby one another and suddenly… 🎇
You could put neurons in a box and wire it up, and implant a partial personality into it and call it a Magi
Servitor.
Ethically at this point is this neuron array considered conscious in any way?
It’s really a matter of taste, as in how do they taste?
Salty.
At least in my case.
Bastards.
Can we train the neuron LLM to participate in a CoD lobby, that’s the real question here
Best not to tempt fate too much, unless we want robot overlords with the temperament of a 13-year-old white kid from Pennsylvania talkin’ shit like a gangsta.
Our current ML Neural Networks work (simplified) like this: A neuron emits a number and the next neuron calculates a new number to emit based on all the values given to it by other neurons as inputs. Our brain can’t fire numbers in this way. So there’s a fundamental difference. Bridging this difference to create NNs that are more similar to our brains is the basis of the study of Spiking Neural Networks. Their performance so far isn’t great, but it’s an interesting topic of research.
Calling Cordwainer Smith…
Neurons can’t NaN so it would be a very bad use of the technology.
Honestly I’ve wondered this about shining a laser through some kind of laser-etched glass. Only problem is, I have no idea how to represent something like an activation function using only reflection and such.
Think you might’ve commented on the wrong post
Haha naw, it’s the same basic idea, just using something inorganic (like glass) to represent a neural network instead of something like biological neurons.
Cool idea, though existing computers are also an inorganic way to representing a neural net
Well, yes, but something like an etched glass would be better in basically every way, if it could be done. (See my other comment in this thread if you want more details)
What on earth are you talking about?
A neural network is an array of layered nodes, where each node contains some kind of activation function, and each connection represents some weight multiplier. Importantly, once the model is trained, it’s stateless, meaning we don’t need to store any extra data to use it - just inputs and outputs.
If we could take some sort of material, like a glass, and modify it so that if you shone a light through one end, the light would bounce in such a way as to emulate these functions and weights, you could create an extremely cheap, compact, fast, and power efficient neural network. In theory, at least.
So just ML on an optical computer, or some sort of baseless sci-fi thing you made up?
A mix of both, but keep in mind that I’m commenting on a post about a related made up sci-fi idea.
It most certainly is not: https://www.technologyreview.com/2023/12/11/1084926/human-brain-cells-chip-organoid-speech-recognition/
Neural organoids have been a thing for a few years now.
