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Question 3 provides an innovative way for Uber and Lyft drivers to bargain together to improve their working conditions.

Common ground is "where we get to use the energy of polarization to be creative and not just to get shocked and zapped into our own bubble."

In this podcast episode, digital fellow Matt Beane discussed how humans can learn to work with intelligent machines.

"If the court broke up Google, it wouldn't change these monopolistic conditions."

"As we move further forward and deeper into the AI era, we will need to calibrate — and no doubt regularly re-calibrate — AI safety measures."

"I hope that those who attended the workshop left feeling as motivated as I did myself to continue their entrepreneurial journey."

“We had to do a lot of work to convince people institutions actually mattered in a really big way.”

Catherine Wolfram argues that a tax on carbon would reduce greenhouse gas emissions more efficiently than a tax rebate for E.V.s.

Independently of race or gender, people's family circumstances and class status can hold them back.

Although automation does indeed eliminate some jobs, as workers legitimately fear, it also tends to create new ones.