"Based on data and research by @StackOverflow, this poster aims to explode the idea that the only people who work in tech are programmers—and that traditionally female-coded roles, such as Teacher, Communicator and Facilitator are ‘not really tech jobs’."https://t.co/2nowUYUAKX pic.twitter.com/CHSox5iikf
— 👩💻 DynamicWebPaige (@DynamicWebPaige) December 28, 2018
Thanks again for thinking of me for this interview, I'm feeling very honored! https://t.co/2inZOfJFlT
— Sylvain Gugger (@GuggerSylvain) December 28, 2018
Nice discussion about perceived qualifications for an ML role.
— hardmaru (@hardmaru) December 28, 2018
At another extreme, some think it’s a good idea to totally disregard schools, titles & degrees, but filter candidates based on H-index and 1st author publications at top ML conferences (for research roles). Thoughts? https://t.co/BXsho1MN3R
I talked about these issues of neo-feudalism & geopolitics of AI & dangers of private actors defining world via tech on the @ExponentialView
— Jack Clark (@jackclarkSF) December 27, 2018
podcast with @azeem recently. We're lucky to be alive at this time because we get to choose what happens next!https://t.co/UmPodnGOhc
so much web traffic is fake that YouTube employees feared an inflection point after which YouTube’s fraud systems would begin to regard bot traffic as real and human traffic as fake.https://t.co/gKhqL9oIb9 pic.twitter.com/VmDeQTYs47
— Rachel Thomas (@math_rachel) December 27, 2018
Brilliant piece by @max_read @NYMag
— Emilio Ferrara (@jabawack) December 27, 2018
How Much of the Internet Is Fake? https://t.co/BFYNgQJmi8
Elegant speculation about a future where AI is an opaque oracle whose pronouncements we can verify but not understand intuitively. Reminiscent of verifying the conclusions of a non-deterministic machine. https://t.co/jPn5pp4A82
— Oren Etzioni (@etzioni) December 26, 2018
Wow these reviewer comments are very odd indeed! https://t.co/tgZOKSiZoy
— Jeremy Howard (@jeremyphoward) December 25, 2018
Probability. It matters. https://t.co/k1OAu9AhGS
— Chris Albon (@chrisalbon) December 25, 2018
Facebook has been deploying AI (and 15,000 humans) for content moderation to eliminate nudity, hate speech, bullying, etc...
— Yann LeCun (@ylecun) December 24, 2018
ConvNet-based vision systems take down 96% of nudity content.
NLP systems... https://t.co/UzJtbxceym
This is great work anyone doing #MLonCode should be paying attention to. Highly recommend using their open source implementation of near-duplicate detection (and other utilities) in the dpu-utils package. Which we actively use @github! https://t.co/EPxwEKYCk8
— Hamel Husain (@HamelHusain) December 22, 2018
Cool little #interview that @bhutanisanyam1 did with me for @hackernoon https://t.co/uFkdpKdbS2#ml #datascience #ai pic.twitter.com/WWpj9wZrpy
— Bojan Tunguz (@tunguz) December 22, 2018
