Search

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.

Data modernization starts with technology, but success is measured by end-users through satisfaction and productivity gains.

"You need highly reliable information or the ability of these models to faithfully implement certain steps that previously workers were doing."