The scientific adivsory council is made up of 3 big guns of the ML (research) community: Boyd, Tibshirani, Hastie; so I guess it's not "just another ML lib"…
yeah, those are baller advisors to have. On the flip side, while that means they will write interesting algorithms /modelling tools correctly, that doesn't mean they will build the right tools.
For good or for ill, many academic folks are technological curmudgeons.
Let me in fact make a much bolder but still true statement: very very few of the folks who are strong both algorithmically and mathematical are also adept at helping engineer transformatively better to use tools. Why? Because skill in any subset of the math, cs and engineering things nicely requires deliberate practice in that entire subset of skills. Deliberate practice of all three together in tandem does not happen in an academic environment, ever. (measure zero sized counter examples exist admittedly)
Innaresting. There was some blogging last year about consistency vs. availability issues, similar to what akka, riak, cloud Haskell etc are confronting. It occurs to me you need to do Bayesian inference to order packets on partition