Ummm was weather foresting not always done using probalistic interference models, i.e AI?

Weather forecasts have recently felt like they’ve been less accurate, i.e. you maybe get a good level of confidence for a day, but two days and it might be completely different. This makes sense given the climate is changing and previous models wont fit as well…

Are LLMs going to consume search data for raincoats and air-conditioning to improve the weather forecast. Clearly time to invest in AI now, the revolution is here!

Praise Stallman

Cool! This seems like an good write up on it

https://atoonk.medium.com/tcp-bbr-exploring-tcp-congestion-control-84c9c11dc3a9

Bottleneck Bandwidth and Round-trip propagation time (BBR) is a TCP congestion control algorithm developed at Google in 2016. Up until recently, the Internet has primarily used loss-based congestion control, relying only on indications of lost packets as the signal to slow down the sending rate. This worked decently well, but the networks have changed. We have much more bandwidth than ever before; The Internet is generally more reliable now, and we see new things such as bufferbloat that impact latency. BBR tackles this with a ground-up rewrite of congestion control, and it uses latency, instead of lost packets as a primary factor to determine the sending rate.