The Wisdom of Charles Eames
Austin Kleon mentioned Corita Kent's fantastic "Learning by Heart" in a recent blog post. I thoroughly enjoyed the book (thanks, Austin!), and will likely revisit many of her techniques and observations in the future.
One quote that really struck me came when she was describing her admiration for her collaborator, legendary designer, Charles Eames: "Charles said that the first step in designing a lamp (or anything) was NOT to ask how it should look -- but whether it should even be."
I thought that was a beautiful way of describing the purpose of prototyping: determining whether something should be. As we say at Stanford, the first question to be answered is not "can I make it?" but rather, "should I make it?"
This is not an indictment of the frivolous; quite the contrary, the frivolous is often the prelude to the fabulous; rather, it's an indictment on spending resources in the wrong direction. Many times, it's much easier to answer the question "should I..." (ie does performing some envisioned function for another human being accomplish the impact i'm hoping to achieve?), than it is to answer the question "can I..." (which can involve much expense in terms of time, etc).
Click here to subscribe to Paint & Pipette, the weekly digest of these daily posts.
Deeply practical guest post by former NCAA and NFL punter, now tech executive, Zoltán Meskó. I met Zoltán at Stanford’s annual Campbell Trophy Summit last summer, and he stayed in touch, telling me all the cool stuff he was trying - check out how AI is changing the way he works.
"I don't really have any pain points to automate," a CEO told me during an AI workshop last week. "I don't do repetitive work like other people in the company do."
Then he mentioned how he spends six hours manually editing every report his team sends him… I had to stop him right there.
The piece of data from Section’s latest AI Proficiency Report I can’t stop thinking about: Silence on AI breeds more AI skepticism than an outright AI ban. So if you’ve been gathering your thoughts on AI, now is the time to put them in writing. In this special guest post, Section’s CEO, Greg Shove, will tell you how.
There’s only one right answer to the question, “Did AI help with this?” The shift to an AI-first mindset isn't just about saving time. It's about recognizing a fundamental truth: AI isn't a tool you might want to use. It's an amplifier you'd be reckless not to use.
Learning to work with AI isn’t really a technical challenge. It’s a human behavior change effort. AI skill building is about far more than learning new tools. It’s about unlearning old ways of working.
AI is transforming industries. Designers are compressing month-long workflows into minutes. Scientists are using AI to condense years of research into days. But what about decades into minutes? Meet Adam. He doesn’t have a LinkedIn account. But in 45 minutes, he built an AI tool that'll save his organization thousands of days of work every year.
Growth mindset expert Diane Flynn shares insights and advice for a more experienced generation of workers who might feel somewhat hesitant to embrace the collaborative superpowers of GenAI.
Right now, in boardrooms and Slack channels across the globe, leaders are inadvertently creating a culture of AI shame. They're reinforcing the very hesitation they should be helping their teams overcome. It's time for an intervention.
The quality of our thinking is deeply influenced by the diversity of the inputs we collect. Implementing practices like Brian Grazer’s “Curiosity Conversations” ensures innovators are well-equipped with a variety of high-quality raw material for problem-solving.
In the AI age, love is more important than ever. Because now anyone can generate “good enough” solutions with a few prompts. But people want more than good enough. When average is free, only above-average passion will stand out.