Основная проблема в том, что мы как человечество хотим неограниченный рост — экономический, демографический — в условиях ограниченной планеты

To grow in life you have to be uncomfortable.

Act like everybody is an intimate friend of God.

How do we use every breathe as if it is a diamond or a ruby, a precious thing that we keep with us?

The most brilliant pearls are found in the deepest of waters.

Most people know the cost of everything and the value of nothing.

When you feel fear that's a signal of risk and that risk in creative works is usually opportunity.

Being a creative professional you've signed up to have a literal daily battle.

Creative people tend to walk tightropes without a net. Now that I’m older, I realize that the tightrope is really as wide as the sidewalk. -Mark Donnelly

Be confident in your abilities. Live fearless. Find your happy place. Bring cookies. -Mark Donnelly

Exercise the no sphincter rule. Life’s too short for working with jerks and crappy projects. Exercise patience. Something cool will always come along. -Mark Donnelly

Crippling creative anxiety is a different place, and I don’t live there anymore. -Mark Donnelly

Art is above all. Artwork is what's left behind after we die

Маленькие пожертвования для благотворительных организаций очень важны

"My art seems to get me into trouble, but for some reason, that doesn't stop me."

Когда мы горим и жаждем, у нас не бывает проблем

The future should not be self-driving. I think the best way we can put these fears and anxieties aside is to take the driver seat. Be intentional about this; be kind to one another.

This old song that if you're free you're not the customer, you're the product. It's quickly becoming this: You are the training data. By using this system, you are giving up information to some purpose that you may not be completely aware of.

We need to get people on our teams that reflect the broader community.

How do we avoid building our ugly past into the future? Maybe put another way: How do we think about gathering data that reflects the future we want to build?

If we're taking all of the past data to predict the future, doesn't that mean we're going to have all of the problems of the past?

The important thing to understand about machine learning is that what they're great at is figuring out what's normal. And then predicting the next normal thing. . . . Question is, what if normal is garbage? What if we're giving it data that has inherent bias in it?

A lot of the times we think about machine learning, algorithms, as being the work of data scientists and of engineers. . . . There is also an important role in design for all of it, for the presentation of this information.

It's really about setting appropriate expectations for what the system can do and channeling behavior in the right way.

What I found the more that I work with and design these machine learning experiences is that it's less about designing for a fixed path through information and much more about trying to put some guardrails up around the weird stuff that the people will ask these 'smart systems.'