"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."
"In software, you control a lot of parameters sent to the machine. Each machine has certain physical constraints. And then finally, on the materials side there are A TON of variables. All of these things are interconnected."
More examples of, and open-source code for, 3D printing with clay:
"It took a tremendous amount of experimenting and play to get to the point where we could even EXTRUDE @PlayDoh..."
@leahbuechley on the interaction of software, hardware, and materials in #3Dprinting — and "what it means for a material to even be printable."
What about #3DPrinting a #GlutenFree, corn-based homemade #PlayDough? Well: more stable under 1.4 cm, but "then there's a #PhaseTransition...your nozzle is so far above the printing surface, the material folds." It also dries out faster. Corn PLUS Wheat wins. @leahbuechley (@UNM)
"The #stability of the print increases as we add #clay to the mixture. We're not only interested in vertical stability, but also horizontal...with play-dough you can't really print anything BUT a cylinder. For softer materials, they start to slump..."
- @leahbuechley (@UNM)
"Gluten-free doughs shrink a lot more than the wheat-based doughs."
"Play-dough forms shrink less as you add more clay to the mixture."
Combining #materials for different heat-sensitive behaviors in #3Dprinted ceramics:
"We think there are really interesting material possibilities to explore here...we can build something with one geometry and have it change."
- @leahbuechley (@UNM)
"We're interested in printing with more than one extrude head at a time...that will allow us to use multiple materials. And we're interested in modeling some of these material properties in the software..."
ICYMI, this week's SFI Seminar by Fractal Faculty Stuart Firestein (@Columbia) on "what started out ass a very simple-seeming problem [re: #olfaction] and turned out to be very complicated":
"Everything we know about the world comes through these little holes in our head and the skin covering our body, processed through tissue specialized to interpret it."
"The thing to notice about [sight and hearing] is that they're [processing] fairly low-dimensional stimuli."
"Even a simple smell is composed of a VARIETY of molecules, and these are high-dimensional from a chemical point of view. And it's also a somewhat discontinuous stimulus. How do we get from this bunch of molecules to this unitary perception of something like a rose?"
"A key feature of this is talk is that we make sense of what each other are saying IN PART by what they say, but ALSO by what we expect of them."
"Language transmits info against a background of expectations – syntactic, semantic, and this larger cultural spectrum. It's not just the choices of make but [how] we set ourselves up to make later choices."
"I think what really drives [the popularity of the #multiverse in #scifi] is regret... There's a line in @allatoncemovie where #MichelleYeoh is told she's the worst version of herself."
"I don't think we should resist melting brains. I think we should just bite the bullet."
"When you measure the spin of an electron, or the position...what happened to all of the other things you could have seen? Everett's idea is that they're all real. They all become real in that measurement."
- SFI Fractal Faculty @seanmcarroll at @guardian theguardian.com/science/audio/…
"At the level of the equations there is zero ambiguity, but the metaphors break down. The two universes it splits into aren't as big as the original universe. The thickness of the two new universes adds up to the thickness of the original universe."
"One way to represent the kind of #compositionality we want to do is with this kind of breakdown...eventually a kind of representation of a sentence. On the other hand, vector space models of #meaning or set-theoretical models put into a space have been very successful..."
"Humans are prone to giving machines ambiguous or mistaken instructions, and we want them to do what we mean, not what we say. To solve this problem we must find ways to align AI with human preferences, goals & values."
- @MelMitchell1 at @QuantaMagazine: quantamagazine.org/what-does-it-m…
“All that is needed to assure catastrophe is a highly competent machine combined with humans who have an imperfect ability to specify human preferences completely and correctly.”
"It’s a familiar trope in #ScienceFiction — humanity threatened by out-of-control machines who have misinterpreted human desires. Now a not-insubstantial segment of the #AI research community is concerned about this kind of scenario playing out in real life."
- @MelMitchell1