Tag: misc

more honest books (including my own) pic.twitter.com/Eo3OTUfjyB

— Fred Hebert (@mononcqc) May 24, 2018

honest programming books pic.twitter.com/f7ML4O5hAR

— Fred Hebert (@mononcqc) May 24, 2018

Tom the Dancing Bug: Our Nation's Leaders Analyze the Data on USA's Gun Violence https://t.co/t4KwSmQmpC pic.twitter.com/wBhSMBkoDH

— son of an asylum seeker, father of an immigrant (@doctorow) May 23, 2018

"Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution": Judea Pearl presents seven tasks which he claims are beyond reach of current machine learning systems but have been accomplished using the tools of causal modeling. https://t.co/Z2VBCm0jhn

— hardmaru (@hardmaru) May 23, 2018

AI cities for the ultra-rich titans of an automated future. Sci-fi short from Import AI this week. Book is on the way! https://t.co/vINoUkULGP pic.twitter.com/LrM8zPaXKo

— Jack Clark (@jackclarkSF) May 23, 2018

But even here, machine learning itself isn’t the thing. It’s ML + heuristics + data + user experience together with smart product design and a problem that’s worth solving.

Companies which bring all of this together, harmoniously, in important domains, will rule the next decade.

— Jensen Harris (@jensenharris) May 23, 2018

All conversations with such folks is depressing. From the conversations it appears they seem adept in name dropping and jargon flinging, but cannot clearly articulate how AI affects their business.

— Delip Rao (@deliprao) May 22, 2018

Many of these folks have actual ML phds and data scientists working for them. I wonder how depressing it must be to walk into an office and work for these namesake leaders.

— Delip Rao (@deliprao) May 22, 2018

I’m talking to so many enterprises where “Director of AI” or similar titles are held by people with absolutely no background in AI, except with an occasional recent familiarity. What’s up with that?

— Delip Rao (@deliprao) May 22, 2018

I've filled out 1000s of these horrible captchas and not once have they asked to ID pedestrians or cyclists. Only street signs and cars and other detritus of car-dependency. If we are truly doing the work of machine vision for AVs, show me the most vulnerable road users. pic.twitter.com/yl9WsKUPWc

— Jeff Novich 🚴 (@jeffnovich) May 22, 2018

The value is not in abstract ideation, it is in correctly evaluating the potential of your various ideas, and successfully executing on the most powerful ones.

— François Chollet (@fchollet) May 21, 2018

By age 31, you should have conquered the largest empire known to man and founded 20 cities, retirement experts say pic.twitter.com/J9gT5JP06s

— François Chollet (@fchollet) May 21, 2018