First derivative of labor: productivity (driven by ML, in the software era).
Second derivative: speed at which ML gets deployed to every applicable problem.
Third derivative: progress in ML usability and accessibility (accelerates deployment of ML).
Compounding effects.
Oh wow - matplotlib, NumPy and pandas, essential scientific infrastructure used by millions, are each maintained by fewer than half a dozen people (from @kellecruz lecture)
"The issue is not AI itself. The issue is control…we should put the user in charge of the goals that the algorithms optimize for." https://t.co/jwxEJFMZ0s by @fchollet
About 3-5% of U.S. colleges have a sales program,
But over 50% of all grads end up working in sales.
Could everything you know about salespeople be wrong?
Don't miss our new movie, "The Story of Sales": https://t.co/KOZrtcNjVM
#WorldPoetryDay
Learn what tracking wild animals can teach us about all aspects of our lives. Features a fav Emerson quote: “Imitation is suicide” via @patrick_oshag https://t.co/MqawbkRccm
Imagine hosting a design podcast...
"In case you missed last week's episode, we talked about empathy. And a sneak preview of next week's episode, we're talking empathy.
Ok, today's episode's big topic: Empathy."