"Part of what we're going to exploit is the multiple definitions behind something [as fundamental as] 'environment' ... in SOME ways, you don't care much about the thing you're looking at; you care about its EFFECT."
"The environment is an actor and a character in all of our stories. But too often we treat it as something to be regressed away. I joke: 'Find me a piece of DNA that behaves without interaction with its environment.'"
- @big_data_kane (@Yale) speaking now:
"You should be a historian of your own field."
- @big_data_kane (@Yale) speaking now on John Maynard Smith and his (largely non-mathematical) rebuttal to creationist Frank Salisbury, which reinforced the incremental aspects of evolution:
Word games as an analogy for protein evolution:
"'Making sense' in this case means the protein is able to perform its function. Context & environments shape what is meaningful & accessible."
"Each individual letter flip hits a genetic background, and which letter flip defines if that's a functional mutation or not. [This is] epistasis: 'the *surprise* at the phenotype' when mutations are combined' [from DW Heinrich]."
- @big_data_kane (@Yale):
"What is the effect of a letter flip *on average* against the background of its environment [in this case, different drug concentrations]?"
"The most important person in my scientific autobiography was my football coach Al — the first person to teach me that you can catch a transmissible disease from your environment."
"You build a model in which the entire world is made of a different type of surface...we did this and [with the same pathogen] in each you get an *entirely different* pandemic."
"Part of the motivation for me thinking about the environment: I was raised by somebody much more intelligent than me who DIDN'T get the opportunity to wear tweed and talk to fancy people ... So I tell stories."
"When you put a system that's already biased under stress? It gets worse. When you put courts under lockdown, more people push for plea deals. Some people were not able to work from home [during COVID] so you get an increase in police interactions..."
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