@NimwegenLab
A standard 52-card deck is shuffled. You turn over cards from the top, one at a time, until the first ace appears. What is the probability that the next card is also an ace?View quoted post on X
Fun little puzzle from @octonion I was reminded of todayView quoted post on X
unpopular opinion: I really don't see the appeal of fraternities / sororities.View quoted post on X
why you would waste your time immersing yourself in greek life during college years is beyond me.
Groups like frats are premised on groupthink and group solidarity. The whole point of initiation and hazing is to create this bond. In fact, it's a kind of social communism. The moment you join you cease being a sovereign individual and instead, resemble more of a cell in an organism.
People who go against the group, people who stand up for “what’s right” rather than stand with the group simply don’t last long in these environments because the selection pressure runs the other way.
So the expectation that frat boys would risk social ostracism to police the egregious stuff that is a recurring feature of these environments has always struck me as naive. Anyone walking into one of these parties, let alone pledging, has a pretty clear picture of the trade-offs.
Don't let your son/daughter join these things!
A universal predictive model of the cell would dramatically accelerate science, allowing biologists to perform experiments digitally. Today we’re announcing a major partnership with the DOE and NIH. The goal of this partnership is to generate the data that will be needed to build an accurate model of the cell with artificial intelligence.View quoted post on X
Isomorphic, Google DeepMind, and Meta are joining us as founding partners in the Virtual Biology Initiative. This is the beginning of a large scale coordinated effort to map cellular biology to power the development of digital models of life. Other leading scientific institutions and consortia including the Allen Institute, Broad Institute, Gladstone Institutes, the Human Cell Atlas, the Human Protein Atlas, the Wellcome Sanger Institute, as well as NVIDIA, are working together as part of this international scientific project.
Creating a predictive model of the cell is one of the most important challenges for the next decade of science. The insights that come from this could unlock a far greater understanding of disease, and open new paths for cures.
We invite the worldwide scientific community and other funders to join us in this effort.
