> It seems as hard as finding a break in hollywood. Well put!
I suppose recommendation algorithms may keep people glued to entertainment more vigilantly than before, and filter bubbles can create big gaps between two people’s viewpoints who might have had more in common pre-news…
There’s even a black noise, and it’s no joke mathematically: https://mathoverflow.net/questions/123347/constructing-black...
It’s an issue with bipartisan support, so you can bet no matter how hastily conceived some of the specific proposals are, that you’ll see them all clamoring to get credit for “taking down the man.” It will be…
Wonderfully informative! Love this author since his days writing about puzzles for the New York Times!
This is some hit-piece reflecting anxieties in the Bay Area in the wake of the WeWork fiasco, rather than a meaningful appraisal of value that you’d see from a publication with credibility from Wall Street’s point of…
> It seems as hard as finding a break in hollywood. Well put!
I suppose recommendation algorithms may keep people glued to entertainment more vigilantly than before, and filter bubbles can create big gaps between two people’s viewpoints who might have had more in common pre-news…
There’s even a black noise, and it’s no joke mathematically: https://mathoverflow.net/questions/123347/constructing-black...
It’s an issue with bipartisan support, so you can bet no matter how hastily conceived some of the specific proposals are, that you’ll see them all clamoring to get credit for “taking down the man.” It will be…
Wonderfully informative! Love this author since his days writing about puzzles for the New York Times!
This is some hit-piece reflecting anxieties in the Bay Area in the wake of the WeWork fiasco, rather than a meaningful appraisal of value that you’d see from a publication with credibility from Wall Street’s point of…