Stiglitz on addressing AI-fueled inequality: Taxes are not enough. This is about labour bargaining power, intellectual property rights, redefining & enforcing competition laws, corporate governance laws and the way the financial system operates. https://t.co/K5wvI7nY3S pic.twitter.com/G4iFS69Ylq
— Rachel Thomas (@math_rachel) November 21, 2018
"My advice is if you are in an environment where you feel marginalized, leave. Don’t try to change it. Go and look for a place that sees you and lets you be you." @omojumiller pic.twitter.com/wFmk9rVnbT
— Rachel Thomas (@math_rachel) November 21, 2018
The many "likes" received by this simple definition jolt me to entertain readers with a few examples: Which of the following is a causal concept? Spurious correlation, Granger causality, Confounding, Endogeneity, Control for (eg., age), Randomized, Instrument, Propensity score,
— Judea Pearl (@yudapearl) November 21, 2018
Q: How do you get an AI (IQ >billion) to follow the intentions of a human (IQ:~120)?
— Trask (@iamtrask) November 20, 2018
This is one of the most important questions of our time
Below is the beginning of @DeepMindAI's strategy
I think it's worth your time to read/share#100DaysOfMLCodehttps://t.co/sV1IqBnBjN pic.twitter.com/xeGamxugK8
When you avoid teaching statistical programming to beginners because “they might misuse it” pic.twitter.com/ZDbGmip5vT
— David Robinson (@drob) November 20, 2018
Predict IQ, occupation, likely/unlikely terrorist from photographs of faces, generating analytics to drive business decisions. What could possibly go wrong? https://t.co/yGKarZgKpX
— Zachary Lipton (@zacharylipton) November 19, 2018
Pick your abstractions wisely. Everything else flows from them. Pick simple, clear, consistent ones. Ideally, settle on just one.
— François Chollet (@fchollet) November 19, 2018
$240 billion. 350 million people online. 1.7 million full-time jobs. Our latest e-Conomy SEA report with @Temasek shows why you need to pay attention to Southeast Asia’s internet economy. → https://t.co/nNGsSMiMjE pic.twitter.com/l68ZxQOb70
— Google (@Google) November 19, 2018
"I'm going to automatically clean CSVs" said the naively optimistic person
— Chris Albon (@chrisalbon) November 19, 2018
I really enjoyed talking with @lnsmith613 (Leslie Smith) about his recent deep learning research last week. Here's the video of our discussion - many thanks to all the live-stream viewers who asked some really interesting questions.https://t.co/tWQDNwgcYq
— Jeremy Howard (@jeremyphoward) November 19, 2018
Great summary in @nytimes from @CadeMetz discussing recent advances in NLP from @GoogleAI @OpenAI @allen_ai @fastdotai & @seb_ruder.
— Jeremy Howard (@jeremyphoward) November 18, 2018
I'm glad to see the discussion of both the potential upsides *and* downsides of this technology.https://t.co/ozjw7psnu0
as we descend, we'll converge to a point in the valley that combines connectionist and symbolic #learningratetoohigh pic.twitter.com/h2fMGx5dnT
— Soumith Chintala (@soumithchintala) November 18, 2018
