“It doesn’t take a huge amount of time to have brilliant ideas”
One of my favorite recent podcasts was a conversation with Dorie Clark, author of The Long Game: How to be a long-term thinker in a short-term world. As the title suggests, Dorie’s book offers a practical framework for maximizing long-term bets in a world that tends to force us into reactive, short-term decisions.
One of the seven strategies that Dorie outlines in the podcast was the concept of actively creating “white space” in our calendars—i.e., free time to actually let the best ideas percolate. “In a very literal sense for most of us, if you look at your calendar, you’re probably going to see a sea of blue,” she says. “White space—time that is unspoken for—is probably pretty scarce.” Dorie continues:
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The next generation of AI will require a first principles approach to chip design
In the pursuit of self-driving cars and humanoid robots, AI researchers have consistently been stymied by the challenges of achieving scale—and the availability of enough localized computing power. Despite the introduction of vast training data sets and improved neural network architectures, the limiting factor thus far has been the availability of supercomputing platforms. (In layman’s terms: AI researchers have been stuck using a squirrel brain to try and complete tasks only a human brain could ever hope to achieve.)
Enter Dojo. Dojo is Tesla’s in-house supercomputing division that’s using a first principles approach to rebuild the silicon firmware (i.e. the brain) from scratch—all in the pursuit of creating a supercomputer capable of creating sentient robots and fully autonomous vehicles. This week, the annual Hot Chips semiconductor conference featured several Dojo presentations, recapped in a smart piece by The Next Platform.
Our analyst Cam Tierney also attended the event, and recapped his top observations in an excellent thread here.
A few more links I enjoyed:
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