Amen. "The current approach—in which an algorithm tries to recommend the most engaging videos without worrying about whether they're any good—has got to go." https://t.co/PRxxYCnuHU
— David Smith (@revodavid) August 13, 2019
Amen. "The current approach—in which an algorithm tries to recommend the most engaging videos without worrying about whether they're any good—has got to go." https://t.co/PRxxYCnuHU
— David Smith (@revodavid) August 13, 2019
IMO, framing sth. that's fundamentally a job as a competition is bad & prioritises people who can afford to work for free. If you have money to spend & want more options, select multiple people, pay them fairly for a concept & commission the final project from your favourite.
— Ines Montani 〰️ (@_inesmontani) August 13, 2019
nobody:
— Monica Dinculescu (@notwaldorf) August 13, 2019
literally nobody:
me: i made you a demo to see what is the most input typing delay you can tolerate; mine is 30ms.
😈 https://t.co/uDEWIyh2W7 pic.twitter.com/TqbD001SNh
I'll probably be giving ggraph a hard time as I begin preparing for the release, but it is only because I've been allowed to grow so much as a programmer in the last couple of years since its release...
— Thomas Lin Pedersen (@thomasp85) August 13, 2019
Never be ashamed of your past code—this is all a journey https://t.co/OhtUtK5y5p
This format of setting a paper in dialogue with its critics formally has a rich tradition in journal culture but it's rare in AI/ML. This is an exciting development from @ch402 & the @distillpub team, and I hope they run many more of these:https://t.co/TY6wEy9Jb1
— Zachary Lipton (@zacharylipton) August 12, 2019
Tech companies are nation states with fewer constraints and more sophisticated technology. https://t.co/LvdARU4n1w
— Jack Clark (@jackclarkSF) August 12, 2019
Awesome ML blog run by @lilianweng has fantastic exposition, clear illustrations and covers a wide spectrum of topics in classic and modern ML:https://t.co/g7P6ZkmhRp
— Zachary Lipton (@zacharylipton) August 12, 2019
This blew my mind: YouTube (and Google) divert users who search basic health terms to conspiracy videos that told them to fear vaccines & their doctors
— Max Fisher (@Max_Fisher) August 12, 2019
Experts and fomer govt officials told us that "Dr. YouTube" is driving MULTIPLE public health crises, including Zika resurgence
Now live: Our monthslong project on YouTube radicalization.
— Max Fisher (@Max_Fisher) August 12, 2019
As YouTube diverts more and more users down far-right rabbitholes, could its algorithm, in a way, radicalize an entire society?
To find out, we went to YouTube's 2nd-largest market: Brazil. https://t.co/0jFXQBPBN8
If you're new to data analysis and want to see the kinds of questions that data analysts ask about source data, check out the replies here😄
— Data Science Renee (@BecomingDataSci) August 11, 2019
Where did you get the data? What were the filters? Etc... https://t.co/hDTnNL2ZLu
Machine Learning enthusiasts will be interested in George Lawton's new post titled "Causal Deep Learning Teaches AI to ask why" https://t.co/fVYx1TngCe
— Judea Pearl (@yudapearl) August 9, 2019
I am not familiar with all the actors mentioned in the story, but I am glad ML is moving beyond curve fitting #Bookofwhy
The fake-it-till-you-make-it culture of Silicon Valley has no place in domains where people's lives are at stake. How many repeats of Theranos are we going to have? https://t.co/QoxqleWBSy
— Arvind Narayanan (@random_walker) August 9, 2019
HT @Aaroth. pic.twitter.com/Zk8ZvP9w73