Cortical Labs‘ CL1 platform uses 800,000 living human neurons on a chip, forming a real-time closed-loop interface with software — in this case, learning to play Doom. The neurons show signs of adaptive learning that silicon alone can’t replicate, and the potential efficiency gains over traditional AI are significant. But no existing regulatory framework covers this technology. The same biological similarity that makes these neurons valuable is what makes the ethical questions so urgent — nobody is asking whether they can suffer, or what a future of sentient biological computers actually looks like.
irascible_Clown on
This explains why in a lot of movies and sci fi books ships in the future sometimes are living ships.
Ulthanon on
Someone more clever than I noted that its probably a bad idea, to grow a disembodied brain, hook it up to a virtual hell, and give it guns.
TF-Fanfic-Resident on
> The neurons show signs of adaptive learning that silicon alone can’t replicate
Hopefully this is just a bridge to better AI as opposed to a fundamental limit of silicon and metal chips. Are there any reasons to think that it might be a fundamental issue with inorganic materials?
Leave A Reply
Du musst angemeldet sein, um einen Kommentar abzugeben.
4 Kommentare
Cortical Labs‘ CL1 platform uses 800,000 living human neurons on a chip, forming a real-time closed-loop interface with software — in this case, learning to play Doom. The neurons show signs of adaptive learning that silicon alone can’t replicate, and the potential efficiency gains over traditional AI are significant. But no existing regulatory framework covers this technology. The same biological similarity that makes these neurons valuable is what makes the ethical questions so urgent — nobody is asking whether they can suffer, or what a future of sentient biological computers actually looks like.
This explains why in a lot of movies and sci fi books ships in the future sometimes are living ships.
Someone more clever than I noted that its probably a bad idea, to grow a disembodied brain, hook it up to a virtual hell, and give it guns.
> The neurons show signs of adaptive learning that silicon alone can’t replicate
Hopefully this is just a bridge to better AI as opposed to a fundamental limit of silicon and metal chips. Are there any reasons to think that it might be a fundamental issue with inorganic materials?