Today's SFI Seminar by Ext Prof @ricard_sole, streaming now — follow this 🧵 for highlights:
"Why #brains? Brains are very costly...it seems like they are not a very good idea to bring complex cognition to a #biosphere that just needs simple replicators."
"I also want to explore the problem of #consciousness, which is around all the time..."
--> "Replay the tape with different results vs. 'the logic of monsters' & 'life's solution'"
"We can use evolutionary robotics to evolve language...in principle we can evolve VERY different things. #SyntheticBiology...we have a wet lab, which sometimes I think was a mistake. But we can build alternatives that neither biology nor engineering has considered."
"When you think about the selective driver responsible for building brains, think about movement through an environment. Having a central system that integrates the information is really helpful."
Re: #SolidBrains and #GeneticAlgorithms, @ricard_sole outlines a history stretching back into the work of W. Pitts, J. J. Hopfield, S. A. Kauffman, and others to examine the origin of attractor neural network models — a.k.a., "An EXTREME simplification of the reality."
1) Thinking about #HebbsRule and memories as stored in minima on a hyperdimensional attractor basin.
"In natural systems you don't see colonies of ants made of individuals with HUGE brains. In @StarTrek there is this idea of #TheBorg, where the queen is very interesting with a large brain, but you don't see this. There is a tradeoff [between individual & collective cognition]."
1) "Swarms of birds are VERY close to a critical state."
2, 3) "In ant colonies, ants synchronize by touching each other...you have synchronization that is not very periodic."
4) "In information transfer between individuals, you have a peak...there's a critical density."
"Are plants intelligent? Do they have complex cognition? There's a lot of response, integration with the environment, that has to do with changing shapes...morphology is very important. But their memory is completely inaccessible to the plant."
Exploring "cognition space":
How do we pick the right axes?
How do we measure those variables?
Is development part of the story of building the system?
Are there empty spaces — voids in the morphospace?
"There may be fundamental physical constraints. But MAYBE..."
"#Birds have very different #brains than ours. But they do very similar things."
"In The Cave of Hands, it's only left hands, because they were using the right [to blow pigment]."
"What makes us different?"
"No machine today manages time."
"You can see a kind of proto-language emerging in #robotics...you have two embodied agents programmed to look around and invent words to refer to objects or actions. Everything is complete with a rule that makes the agents agree about the words."
"To what extent should we have evolutionary rules that build the minds that we know as part of the story — as part of the preconditions for intelligence?"
"@kevin2kelly makes the point that #AI will have intelligences that have nothing to do with ours..."
"...but when you build artificial #systems, all the time you are taking inspiration from #biology. I haven't seen anything that is really bizarre, that escapes from that."
"When it comes to #ExtendedMind(s) we think that humans are kind of outliers...you have things like #spiders who use their webs for #cognition, but [when it comes to a human-level extended phenotype], how do you 'jump' into that?"
"We build the geometry directly by thinking about the PATH that our 3D printer takes. There's no intermediate slicing software [to render CAD as "2D" layers]."
"You can start to think about surface textures - like spikes that you can't do with a traditional slicer. Or...here's a path that's a sine wave, but every other layer is rotated. Or...one creature is following THIS path, and the other is chasing it around."
We start with a talk by SFI President David Krakauer:
"Would anyone care to guess why we're so GOOD at building transistors and so CRAP at designing drugs?"
"This thing [points to transistor] lives in a centralized system. This thing [points to cancer drug] lives in US."
"I'm going to pick on economics, because we like to do that at SFI. 'Ooh, look at that cover! So techy. Global, heat maps...' But here's 'Networks' [in the textbook]. THAT'S IT. Here's '#ComplexityEconomics.' NOTHING."
🧵 In today's SFI Seminar, Visiting Scholar @cgershen presents the second in his series of talks on core concepts in #ComplexSystems science, streaming now:
"In high school #physics class you are taught that with the initial conditions of a system, you can predict its future states. In #complexity, this is not so...it means #reductionism is not appropriate, #Platonism is not appropriate..."
- @cgershen
"You can see a layer of circuits computing something. What is it computing? Itself. In a 248x248 array, you can program the #GameOfLife inside the game of life. Computers allow us to explore #Complexity, and it's no surprise complexity became a science in the 1980s."
- @cgershen
Cormac McCarthy spent the last quarter century writing his novels at SFI. In this documentary from December 2017, Cormac in conversation with SFI President David Krakauer, reflects on isolation, mathematics, character, and the nature of the unconscious:
In anticipation of Cormac McCarthy’s newest books, “The Passenger” and “Stella Maris” (@AAKnopf, 2022), former SFI Miller Scholar @deepsurvivalsm0 recollects McCarthy’s long and ongoing friendship with SFI:
"Until recently the writer could be heard at SFI, clattering away on his portable typewriter from behind his office door. An affable member of this community, he would regularly emerge for afternoon tea or attend talks by SFI scholars."
🚀 We are live! Here is the correct streaming link for all of today's discussions and performances, starting with a panel on complex time with David Krakauer, James Gleick, Ted Chiang, and David Wolpert in a few moments (measured linearly...):
"One of the ideas we had with #InterPlanetary was, 'What would it take to make science hedonistic? And instead of telling people to do it, you'd have to tell people to STOP doing it?"
- SFI President David Krakauer sets the tone for this weekend's celebrations #IPFest
David Krakauer: "Do you have a favorite model or metaphor for #time?"
@JamesGleick: "You've already mentioned a river; that's everybody's favorite. Borges said time is a tiger. People talk about it as a thread. We ONLY talk about time in metaphors."