AmazThrowAway

4 ms·

1. 1.▲
   by AmazThrowAway 4y ago

   I would warn you against taking the responses that you read on here (including this one) as an objective sample -- HN is not representative of the broader world, and (just like with product reviews) your sample may be biased towards people
2. 2.▲
   by AmazThrowAway 5y ago

   They have a shockingly detailed model that they negotiate with the federal government ! https://cfo.berkeley.edu/sites/default/files/facilities_and_...
3. 3.▲
   by AmazThrowAway 5y ago

   I'm very curious if this number is actually correct; in my experience "53%" overhead means the university adds a $0.53 "tax" on each dollar you spend, which works out to the university "taking" ~35% of the
4. 4.▲
   The Flawed Claims About Bias in Facial Recognition(lawfareblog.com)

   3 points by AmazThrowAway 5y ago|0 comments
5. 5.▲
   by AmazThrowAway 5y ago

   But not all! In fact lots of people, to my surprise, are publishing in Nature: Machine Intelligence
6. 6.▲
   by AmazThrowAway 5y ago

   For starters, this is not an easy position to be in. I'm posting this from a throw-away account so I can be maximally honest and transparent about my own choices. Please note that everyone's advice to others is often the advice _