• In other worse, teams of people who actually get to know each other in person can often create the strongest results. Colvin went on to cite a bunch of work that showed how people collaborated worse when remote, which again, must be concerning for leaders of distributed teams.


• Colvin also explored how doctors were being trained to provide a more

Third, I'm trying to learn more about how these Generative AI systems work more deeply and uncover their creative potential. You've seen my explorations with Midjourney through the cover images of many of the last few newsletters, including this one.

First off, I realize I can continue refining my humanity and my empathy skills. I hope to take more listening, relationship, and communication courses in 2023 to sharpen this critical skillset.

• Human labor will be in the "Safe Zone" in the social, unstructured environments where it will be hard to train an AI to train pets, offer physical therapy, and style someone's hair and face.


• Meanwhile, structured, asocial work is most easily replaced, such as fast food cooks, garment factory workers, and cashiers, he calls this the "Danger Zone"


• The

His core takeaways were:

• Human desire is infinite so there will always be some work people can do. The question is will the work be meaningful and high value or denigrating and low value


• What humans will likely still do best is empathize with other humans, which enables us to persuade, inspire, entertain, and engender trust.


• People still want other

Kai Fu Lee, a longtime AI researcher, former CEO of Google China, and technology investor, has developed a 2x2 matrix for how humans should expect to interact with AI in his 2018 book AI Superpowers: China, Silicon Valley, and the New World Order.

He defines two spectra: structured vs unstructured environments and asocial vs social environments.