Let slime moulds do the thinking (2010)
theguardian.com
Let slime moulds do the thinking (2010)
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Re: Let slime moulds do the thinking (2010)
#2Usually they have fun examples of problems these things can solve, but we don’t actually think they’re doing something fundamentally different from a greedy algorithm or trial and error optimization? And they’re slow as slow can be. So, not that exciting?
Re: Let slime moulds do the thinking (2010)
#3I find the “super computer slime” stories that pop up every once and a while (including in academic contexts, occasionally), pretty annoying. Usually they have fun examples of problems these things can solve, but we don’t actually think they’re doing something fundamentally different from a greedy algorithm or trial and error optimization? And they’re slow as slow can be. So, not that exciting?
Re: Let slime moulds do the thinking (2010)
#4Re: Let slime moulds do the thinking (2010)
#5Re: Let slime moulds do the thinking (2010)
#6I find the “super computer slime” stories that pop up every once and a while (including in academic contexts, occasionally), pretty annoying. Usually they have fun examples of problems these things can solve, but we don’t actually think they’re doing something fundamentally different from a greedy algorithm or trial and error optimization? And they’re slow as slow can be. So, not that exciting?
https://www.sciencedaily.com/releases/2014/03/140327100335.h...
https://www.sciencedirect.com/science/article/pii/S136970211...
edit: it is also used as a sensor:
https://techxplore.com/news/2022-12-scientists-smartwatch-po...
Re: Let slime moulds do the thinking (2010)
#7I find the “super computer slime” stories that pop up every once and a while (including in academic contexts, occasionally), pretty annoying. Usually they have fun examples of problems these things can solve, but we don’t actually think they’re doing something fundamentally different from a greedy algorithm or trial and error optimization? And they’re slow as slow can be. So, not that exciting?
It's interesting because dragonflies only have about 10,000 neurons, whereas harbour porpoises have like 14 and a half billion. Slime molds aren't meaningfully intelligent at all, but they can work out problems our primate brains had to work quite a long time to systematize. This suggests, to me at least, that dragonflies and slime molds are worthy of further consideration.
...that said, I try not to read the popsci articles about either.
Re: Let slime moulds do the thinking (2010)
#8I find the “super computer slime” stories that pop up every once and a while (including in academic contexts, occasionally), pretty annoying. Usually they have fun examples of problems these things can solve, but we don’t actually think they’re doing something fundamentally different from a greedy algorithm or trial and error optimization? And they’re slow as slow can be. So, not that exciting?
It's of the same vibe as "electricity solves a maze" or "water solves a maze", imo
Re: Let slime moulds do the thinking (2010)
#9I find the “super computer slime” stories that pop up every once and a while (including in academic contexts, occasionally), pretty annoying. Usually they have fun examples of problems these things can solve, but we don’t actually think they’re doing something fundamentally different from a greedy algorithm or trial and error optimization? And they’re slow as slow can be. So, not that exciting?
Slime molds aren't ready-made solutions to practical problems. They're a signposted paradigm shift that indicates we need to re-evaluate some of our a prioris. Alongside advances in understanding complex behaviors in plants, slime molds represent one of the largest challenges to long-standing assumptions we've had for millenia. Unfortunately the response to recorded behaviors of adaptation, memory, learning, problem solving in things without neural structures has hilariously been to shift goal posts and underline said neural structures as a prerequisite to these things being meaningful. Silly things like "super computer slime" and pop science articles drown out the incredibly important experimental observations made about these beautiful organisms, this much I agree with.
Re: Let slime moulds do the thinking (2010)
#10I find the “super computer slime” stories that pop up every once and a while (including in academic contexts, occasionally), pretty annoying. Usually they have fun examples of problems these things can solve, but we don’t actually think they’re doing something fundamentally different from a greedy algorithm or trial and error optimization? And they’re slow as slow can be. So, not that exciting?
Try this lens: dragonflies are one of nature's most incredible predators, with a 90-97% success rate of hunts. The precise data varies, but almost all more complex animals have a dramatically lower success rate. Well, so what? Harbour porpoises have a ~90% success rate, too. It's interesting because dragonflies only have about 10,000 neurons, whereas harbour porpoises have like 14 and a half billion. Slime molds aren…