"There is no first-principles definition for #innovation."
"How could a company start with selling books online when people want to see a book in person and look through it? Nonetheless, @amazon survived..."
Before Amazon, Books.com on TelNet, later bought by B&N
"We usually credit the transformatory impacts of #innovation to Austrian economist Joseph Schumpeter and his idea of #CreativeDestruction, that entire sectors were turned over and products from the past erased by products currently developed."
On @RELenski's Long-Term Evolution Experiment (#LTEE) — looking back thousands of #Ecoli generations, researchers found precursor "scaffolding" mutations that permitted later major metabolic innovations but were themselves not responsible for them.
"Because cell phones become a necessary part of what we are, for most of us, and we're willing to pay the price, it's difficult to think of most of these novelties as innovations."
Sometimes major innovations never see the light of day because they're perceived as non-competitive.
"The idea is there, the patent is there, it's in the public domain, and numerous researchers have tried to revive it. But there has been no marketed device based on this."
1) "The cell phone did away with the bottom three. Internet has done away with the top three." #CreativeDestruction
2) On the diffusion of #innovation via #EarlyAdopters:
"Can we call an innovation something that invades only 10% of the market? 50%?)
"What will be the next innovation? We see these macro transformations over the last 100 years. We do not know if #QuantumComputing will ever see the light of day."
Notable differences between bio & tech include goal orientation, theory...
"I think one of the ingredients we'll need for a first-principles theory of #innovation, first of all, is this notion of 'surprisal.'"
"To what extent are there leaps available, or are we exhausting what is potentially out there?"
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