Are you ready? Are you aware that companies are growing human brain tissues in jars as we speak, and they will not stop at anything to make them as large and complex as possible to be artificially kept alive for computation? That they intend to rent out these live brains' computing power over the cloud?Do you feel this to be okay? Do you feel it just? A group of people growing multitudes of live brains with an internal experiences possibly horrendous far beyond any human comprehension?https://en.wikipedia.org/wiki/Cortical_Labshttps://finalspark.com/Discuss! :D
can't wait for my bioprocessor to die in my pc because i forgot to feed it brainfood
i'm a vibeking but anybody who does that shit belongs in hell, it's not even necessary
>>110295028>2030 release candidateI would not.
>>110295073It requires goyslop to work
>>110295028I can't wait to watch some smug silicon valley mba tie himself into knots to justify how this isn't slavery. No, go on Mister Goldberg, the American people would love to hear about how you plan to put twelve-thousand brains in jars in a datacenter in their backyard and make a trillion bucks off of it.
can vibekings and snailcats come together against human biocomputing?
Thinking creating brain tissue automatically creates consciousness is literal cargo cultism. Literally no different than thinking sitting in a mud hut control tower wearing bamboo headphones will make planes full of cargo land in your village.
why was stem cells so abhorrent but this kind of thing just happens?
>>110295028https://newatlas.com/ai-humanoids/living-computers-forge-a-hive-mind-and-work-together-to-outsmart-ai/ "In a test involving the recognition of symbols, Cortical reports that linking up seven biological computers increased accuracy in results from around 80% to 99%.Another test involved HIVE guiding a virtual character through a grid to find a specific target. The team compared their system with the conventional AI Deep Q Network (DQN), which uses algorithms rather than brain cells.DQN managed about 32% of the maximum score, while the best individual Cortical computer got to 40%. When several biological computers weighed in on which moves to make, the score jumped to around 70%. Dividing the task between specialist biocomputing groups returned even higher results (about 80%)." " HIVE's CL1 machines appeared to divide different aspects of the task presented, sorting into the most efficient way to an end point. This isn't anything the scientists could "teach" the lab-cultivated neurons; they just figured it out once they became part of a bigger network."
