So we’re starting to get to the point where its theoretically possible for computers to get real organic viruses? “Sorry boss I cant work today my computer caught Covid and coughed on me so now I have it too :(”
There was a documentary about this awhile ago which was pretty terrifying. They basically go into how you can essentially "grow" computers to augment reality and human perception. Pretty crazy. "eXistenz" was the name I think. I believe Jude Law was the narrator or something, I don't remember.
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Don't need the homeless. You can pluck a hair, donate your blood, or even take a plug of your foreskin if you have one, to generate the neural stem cells from iPSC, the cell type they use in this process.
IIRC these organoids also die after somewhere around 100 days of hypoxia, because they have yet to be able to construct a proper circulatory system for them.
Is this legit? This is the first time I've heard of human neurons used for such a purpose. Kind of surprised that's legal. Instinctively, I feel like a "human brain organoid" is close enough to a human that you cannot wave away the potential for consciousness so easily. At what point does something like this deserve human rights?
I notice that the paper is published in Frontiers, the same journal that let the notorious AI-generated giant-rat-testicles image get published. They are not highly regarded in general.
They don't really go into the size of the organoid, but it's extremely doubtful that it's large and complex enough to get anywhere close to consciousness.
There's also no guarantee that a lump of brain tissue could ever achieve consciousness, especially if the architecture is drastically different from an actual brain.
Well, we haven't solved the hard problem of consciousness, so we don't know if size of brain or similarity to human brain are factors for developing consciousness. But perhaps a more important question is, if it did develop consciousness, how much pain would it experience?
Believe it or not, I studied this in school. There's some niche applications for alternative computers like this. My favorite is the way you can use DNA to solve the traveling salesman problem (https://en.wikipedia.org/wiki/DNA_computing?wprov=sfla1)
Seems like it's an ethical gray area. Some brain organoid have responded to light stimulus and there are concerns they might be able to feel pain or develop consciousness. (Full disclosure, I had no idea what an organoid even was before reading this and then did some quick follow up reading)
Scifi is kind of reverse prophetic, a lot of people become scientists because they were into scifi and at the end of the day we need to imagine something is possible before we can invent it.
Article claims they are human brain organoids, doesn't say where the source of them is. Are these grown, like most other neural computing systems, or are they actually taking matter from a human brain?
Some cells get taken from you and turned into stem cells.
These are converted into brain cells, and nerve cells, on a chip that represents the scaffolding, interface, and connectivity.
Then the whole 'organ-device' gets surgically installed into your brain, and through gene therapy, the brain cells grow into, connect with and network into your existing tissue.
If this works, it's noteworthy. I don't know if similar results have been achieved before because I don't follow developments that closely, but I expect that biological computing is going to catch a lot more attention in the near-to-mid-term future. Because of the efficiency and increasingly tight constraints imposed on humans due to environmental pressure, I foresee it eventually eclipse silicon-based computing.
FinalSpark says its Neuroplatform is capable of learning and processing information
They sneak that in there as if it's just a cool little fact, but this should be the real headline. I can't believe they just left it at that. Deep learning can not be the future of AI, because it doesn't facilitate continuous learning. Active inference is a term that will probably be thrown about a lot more in the coming months and years, and as evidenced by all kinds of living things around us, wetware architectures are highly suitable for the purpose of instantiating agents doing active inference.
this definitely doesn’t spell the end of digital electronics. at the end of the day, we’re still going to want light switches, and it’s not practical to have a butter spreading robot that can experience an existential crisis. neural networks, both organic and artificial, perform more or less the same function: given some input, predict an output and attempt to learn from that outcome. the neat part is when you pile on a trillion of them, you get a being that can adapt to scenarios it’s not familiar with efficiently.
you’ll notice they’re not advertising any experimental results with regard to prediction benchmarks. that’s because 1) this actually isn’t large scale enough to compete with state of the art ANNs, 2) the relatively low resolution (16 bit) means inputs and outputs will be simple, and 3) this is more of a SaaS product than an introduction to organic computing as a concept.
it looks like a neat API if you want to start messing with these concepts without having to build a lab.
What's the FLOPs of this thing? Without this crucial info, we can't know if it's useless for training AIs or not. Training cost so much in terms of energy because the machines they use are beasts in terms of performance.
As if tech isn't enough of a hyper specialized mess already now we're throwing biologists into the mix. "Sorry we need to wait for the registered nurse to fix your machine I'm not authorized to administer meds through the CPU's IV"
From a read of that article, it appears that they are feeding it analog inputs, which would imply that it is producing analog outputs. I don't know if there is a way to evaluate floating point operations on an analog system. That said, my knowledge is very cursory, and someone will surely correct me.
I'm confused. I assume they somehow still use electric signals? Do they still compute in binary? How does that work exactly?
Though, if this could reach a product state that's similar to silicon based processors, and the power consumption argument is true, then this could revolutionize the entire digital age.
It's a bunch of neurons that speak to a computer with a microelectrode array. So they "speak to" the neurons with electric impulses, and then "listen to" what they have to say. The computer it's connected to uses binary, but the neurons are somewhere in between. Yes, the change in electrical potential is analog, but neurons are typically in their "on" state, recovering from their "on" state, or just chilling out.
The brain is incredible because of the network of connections between neurons that store information. It'll be interesting to see if a small scale system like this can be used for anything larger scale.