New wealth flowing into a city, plus old wealth’s “build new things in other places” attitude leads to gentrification. We’re not in a bubble, but in a bifurcation, and SF has no relief valve to rely on. Only new city policies could change that.
Academic papers tend to utilize terse language and jargon to precisely describe processes and outcomes, but these “precise” explanations end up being impenetrable walls for the uninitiated. Thankfully, there are bloggers like Trask, Olah, Karpathy, and others who lower the bar to understanding the intricacies of academic machine learning. I am still trying to get through this one. Trask definitely made the task accessible. The DeepMind researchers, on the other hand, did not.
I remember these events from when I was a kid, and it really interesting to see them exposed here again, a decade later, when I can actually understand them and their implications. I wonder what kind of data is available today, in Costa Rica and elsewhere, just waiting to be analyzed to uncover other schemes like these.
By definition you expect to pay more for insurance than you expect get out of it. Yet, people pay for it. Wenger explains how this is not a contradiction: “Without risk aversion insurance math fundamentally would not add up.”
Here, Szabo argues that conditions around book publishing and distribution makes for little variety, and unnecessarily long documents. He calls it the “trouble with books”, and poses the internet as the solution. The “trouble with the internet” is noise. Publishers and editors used to be trusted gatekeepers, ensuring a certain level of quality. There is too much content to consume from the Internet firehose. How do we deal with content quality assurance and curation in the internet era? How do we pick what we read?
Making good decisions upfront, and investing in improving the software development process (via testing, CI/CD, etc.) is costly, but pays off over time. This is especially important as the organization grows. Building software is easier when you’re not afraid of breaking it.