creyes

tl;dr in 2 quotes from the decision. Wild shit that the NCAA got this far

> The NCAA does not contest that its re-straints affect interstate trade and commerce and are thus subject to the Sherman Act.

> With this much agreed it is unclear exactly what the NCAA seeks. To the extent it means to propose a sort of judicially ordained immunity from the terms of the Sherman Act for its restraints of trade—that we should overlook its restrictions because they happen to fall at the intersection of higher education, sports, and money—we cannot agree.

"Lots of systems" is a stretch, only a few do. In fact, "support" is a stretch. Most EMRs (Cerner, Epic etc) only support HL7 as much as it gets them their CMMI / Promoting Interoperability certifications which are not relevant for actual use.

That being said, it is JSON but much worse

I'm a big Hey fan. Have been using it since launch. The screener feature is great, and I like being able to organize my feeds. They've also done a good amount of iteration in the ~9 months I've had it so I'm hopeful for a consistent release of features.

I do with it had better calendar integration, or maybe it's own calendar. I'm not sure, but that's the big thing that Gmail has that I really miss

Yea idk what he’s talking about. I thought Mank was incredible. The costume and set designs were great. Gary Oldman, like usual, gave an Oscar worthy performance. Amanda Seyfrieds portrayal of Marion Davies will probably get overlooked but I think it was one of her best performances. Great film, especially if you’ve seen Kane recently. Definitely recommended

oh interesting, tbanks for the clarification!

This is an incredible resource. Learned everything I needed to know for an IoT side project and more from the AAC book

I think I disagree with this. I think the short-term harm of this kind of tech debt is more substantial than you're leading on. "Causing myself problems for the future" might be true, but that future could be in a week when you need to pivot because of user testing, a shift in the market, product market fit etc.

I think the mistake you're making is conflating "getting code written now" with expediency. Adding/removing features and shifting when necessary are "expediency." That's the value of a thorough test suite.

> The machine-learning method achieves 100 percent accurate classification of the COVID-19 sequences and more importantly, discovers the most relevant relationships among more than 5,000 viral genomes again within minutes.

I only have a basic understanding of ML but isn't 100% accuracy this early on (limited dataset) an indicator of overfitting?

I think you're right that the level of abstraction is the same but the language ergonomics are drastically different. Go was designed so that anyone coming out of school could read/understand/write it very quickly. I'm not a Go expert and I can reason about code pretty well and even write some stuff.

That's absolutely NOT true of Haskell. It's a much more nuanced language and while I'm sure it's great once you learn it, the learning curve is steep. Because of that I think it's much easier to hire Go developers than Haskell developers too