miniblog.

How do you randomly sample from non-uniform distributions? This is a common problem when computing random numbers. TIL about rejection sampling, where you randomly sample within an area that includes the distribution, until you hit a value inside:

It's interesting that Twitter sets limits on content size, but not distribution. What if the number of retweets/comments on a tweet was rate limited, or had a cap for new users Would it promote slower or thoughtful conversation? C.f. Stack Overflow limiting new user abilities.

IPFS is a really nice distributed filesystem that is slowly growing in popularity. Netflix has found a good use case: container image distribution. https://containerjournal.com/topics/container-management/ipfs-emerges-as-tool-to-distribute-container-image I'm slightly reminded of Usenet: just download content from the nearest server!