"The idea that humanity actually *could* go extinct required a lot of ideas to come together. First you needed to know that species go extinct. This wasn't clear until [the discovery of fossil Mastodons]."
- @anderssandberg of @FHIOxford at SFI today:
"It's not just that the end of the world could be caused by a bad political decision. In principle, the *right* political decision or technology could *avert* these risks. In the 19th C, it was a considered merely a matter of natural causes."
- @anderssandberg (@FHIOxford) at SFI
"There are also trans-generational risks, and there may be pan-generational risks."
"[Humans] care about continuity. Many of the things we do don't make sense unless we care about our children and our children's children, etc. And it's important to keep our options open...it's very hard to go un-extinct."
"The asteroid: in many ways, it's the nicest form of #ExistentialRisk because it's well understood. We have data that tells us how likely they are, we have the big dinosaur killers mapped out. This is the most well-managed existential risk we have."
- @anderssandberg (@FHIOxford)
"Most people will say it's unlikely that a #pandemic could wipe out an entire species because as people die out, the pathogen can't spread. Unfortunately, amphibians prove otherwise, because immune populations can act as a reservoir."
- @anderssandberg (@FHIOxford) at SFI now
"#ClimateChange will make things hard, but it won't be the end of the world. What worries me is the systemic #risk: a world struggling with the effects of climate change will be less-prepared to deal with other things that come up."
- @anderssandberg (@FHIOxford) at SFI now
"During the Middle Ages, you couldn't have a war that could kill everybody. It's only become possible over the last century...a 'beautiful' demonstration of how an otherwise-intelligent species can place itself in trouble."
- @anderssandberg (@FHIOxford):
"Unlike the @LosAlamosNatLab physicists, the @CERN LHC physicists responded way too late [to justify the safety of their experiments]. ... Ideally, with these low-probability risks, you want several overlapping arguments."
- @anderssandberg (@FHIOxford):
"It doesn't necessarily have a scintillating conversation partner to be risky. If you have systems that can autonomously change the world, that's a risk for us."
"It's not necessarily that we can't do something to [avert a given risk]. It's that we have incentives *not* to do something."
- @anderssandberg (@FHIOxford)
How to avert a catastrophic cascading failure in food production: @anderssandberg (@FHIOxford) works on the board of @ALLFEDALLIANCE to devise transitional strategies to bridge major disruptions.
"Most of these global risks are complex systems problems."
Betweenness centrality, heavy tail distributions, emergent effects, correlations between infrastructural layers, and other nonlinearities make catastrophic risk a perfect area of study for #ComplexSystems science.
"It remains to be seen if we'll rise to this challenge. I'm optimistic, but there's so much more we need to do. We're good at developing new technologies...are we as good at the society-scale change we need?"
- SFI/@MIT Prof Jessika Trancik on @voxdotcom:
@MIT@voxdotcom "If you're purchasing a #CleanEnergy technology, you're creating a market that then drives more #innovation, so everybody can contribute. It DOES also mean that we can't find #SilverBullets. We can't find one really smart person to solve this. We need everyone to contribute."
@MIT@voxdotcom "The way we can get larger projects to improve more quickly is #standardization. We need to understand the parts that are holding projects back, where the inefficiencies come in. I use a broad definition of #technology because these #inefficiencies crop up in different ways."
Below, we share key excerpts from SFI External Prof W. Brian Arthur's (@Stanford, @PARCinc) latest, available at arxiv.org/abs/2104.01868, which we recommend for its elucidation of key blind spots in economic thinking & how to address them...
"Different means 'see' differently—often they reveal different versions of the same object. #MRI looks at body parts and reveals soft tissue structure; #CT scanning looks at the same body parts and reveals bone structure. There is no 'correct' version of internal body parts."
"#Mathematics is powerful in #economics—and necessary—but I don’t believe that it is suited to describing all that is interesting in an economy. In fact I don’t believe that there is any privileged way to view the economy. There are useful ways and less useful ones."
Follow this thread for highlights from today's seminar by @WiringTheBrain of @trinitycollege. Watch without login on Facebook (we will post the recording to YouTube within 24 hours):
"If we look at the temperatures at which most biological #enzymes fall apart, it's upward of 50º — but most enzymatic activity fails well below that. What's causing this decline? The Standard Model doesn't account for this."
Here's why #GlobalWarming is not just going to be "great for plants":
Thermodynamic constraints on living systems mean rising temperatures affect diffusion and transport of molecules across membranes, and too much heat messes with #photosynthesis.
This week at SFI: "#Complexity and the Structure of #Music: Universal Features and Evolutionary Perspectives Across Cultures", an #interdisciplinary working group assembled to explore new frameworks for understanding music. Stay tuned for highlights!
"Every pitch class set is connected to every other pitch class set."
– @mbnUNT, co-organizer of this week's #musicology working group, presents on how to understand the #topology of #harmonic structures in music with #network diagrams (e.g. Pic 4 with #JSBach's BWV 66):
Once you represent a musical composition as a network, it is possible to examine the evolutionary dynamics of its harmonic content over time, as explained by @mbnUNT in his opening talk for this week's SFI #musicology working group.