Simon Joliveau Breney

Brian and most everyone at the company is comfortable failing publicly, which I admire.

If you try to improve something by 10%, you can almost always solve the problem with brute force and caffeine.

fav chatGPT prompt: Based on all of our interactions, what is the question that I should be asking, but am not?

Another possible cause is that in many companies, from the viewpoint of the many employees, the company has been “transforming” for years. There has been one big company transformation initiative after another, usually tied to some new senior leader. No wonder that the people suffer from change fatigue.

To put the writing and speaking speeds into perspective, we form thoughts at 1,000-3,000 words per minute . Natural language might be natural, but it’s a bottleneck.

A lot of typography has roots in calligraphy – someone holding a brush in their hand and making natural but delicate movements that result in nuanced curves filled with thoughtful interchanges between thin and thick. Most of the fonts you ever saw follow those rules; even the most “mechanical” fonts have surprising humanistic touches if you inspect

Learning and meta-learning are intertwined, so the less we know about a subject, the less we know about how that subject is organized. This leads to our first principle: before embarking on any new learning project, try to figure out how other people organize efforts to learn it. What do those people see as the major divisions in skill, knowledge

We keep telling ourselves that previous voice interfaces like Alexa or Siri didn’t succeed because the underlying AI wasn’t smart enough, but that’s only half of the story. The core problem was never the quality of the output function, but the inconvenience of the input function: A natural language prompt like “Hey Google, what’s the weather in San