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).
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Last week, I found myself in the bizarre position of attending a conference for YouTube creators. Talk about a fish out of water. Even though I didn't "belong" there, it sparked a bunch of fresh connections and insights... which is exactly the point of this post.
In the past year, I've witnessed a fascinating phenomenon across organizations embracing GenAI. Two "identical twins" in the AI race, similar in their approach to AI adoption -- engaged senior leadership, extensive training, numerous opportunities for AI integration -- whose outcomes couldn't be more different.
A funny thing happens when humans interact with AI—they start talking like robots. This is tragic. It's the very humanity that we often unwittingly withhold that guarantees lackluster output. To revolutionize your output with GenAI, revisit your own humanity.
Quick: come up with an innovative idea!
If you’re anything like the thousands of students I’ve coached in the last fifteen years, panic alarms just went off.
But the truth is, the creative process is hardly a mystery – in fact, it can be broken down into three simple steps.
Dr. Frederik Pferdt is Google’s original Chief Innovation Evangelist. Here, he shares an insight from his book, “What’s Next Is Now,” inspired by his adventures equipping hundreds of “Future Readies” at Google.
Most folks’ biggest mistake in collaborating with AI is expecting to get things perfect right out of the gate. But learning to use AI is just like any other motor skill: you’ve got to fall in order to create new neural pathways. Here, I share some insights on falling forward, productively.
Rather than waiting around for lightning to strike, take a more proactive approach. You can provoke your own imagination. One of the most effective, powerful, and fun tools we have created for such self-provocation missions is what we call “Analogous Exploration.”
It’s been 21 months since my book Ideaflow was published, and unexpectedly — catalyzed by the launch of ChatGPT just one month later — the period that many authors described as a victory-lap book tour was transformed into a front-row education in a thrilling new world, reshaping not just how I work, but how I think.
Special guest post from Wharton professor and “accidental AI expert” Ethan Mollick. He joined the podcast a couple months back, and then he blew our minds with this exceptional post on how companies can do much more with AI than merely improve efficiency.
Undisputed "Beyond the Prompt" fan favorite Jenny Nicholson drops by to share some insights from her adventures helping folks innovate with AI. Important lessons for any leader looking to unleash their teams with this transformative technology.