Don't Panic Labs Reading List

DPL Reading List – April 2, 2021


| April 2, 2021 | in

Each Friday, we share a curated list of articles we found during the past week. Here’s the list of the new and interesting ones we found this week. If there’s an article you think we should read, let us know in the comments below.


What Formula One racing taught me about effective, high-speed teamwork – While this executive was watching a Netflix series on Formula 1 racing, he began to draw parallels in how racing and corporate teams function.


Break out your computers. Rebuilding post-pandemic requires more than hammers and bulldozers – The CEO and co-founder of Twilio shares his thoughts on the role of developers in a post-pandemic world.


What a Year of WFH Has Done to Our Relationships at Work – New research from Microsoft shows that employees and teams are becoming much more siloed as many of us still work from home. Nancy Baym, the author of this article, is a Senior Principal Research Manager at Microsoft. She lays out how the successful companies of the future will be the ones that foster supportive social ties for both those who are in the room and those who are not.


Be More Realistic About the Time You Have – It’s time we realize the “magical thinking” our brains do when it comes to planning our days. We often trick ourselves into thinking we can complete all that we set out to do. Here are five antidotes to the kind of thinking that sets us up for failure.


To Learn To Deal With Uncertainty, This AI Plays Pong – AI researchers are developing new ways to address the challenges faced when training systems – such as autonomous cars – that need to make decisions.


Take a trip back to 1997 with an incredibly rare, never-opened Nintendo 64 Disk Drive dev kit – An up-close look at a very rare peripheral that was never released outside of Japan.


Google is testing its replacement for third-party cookies – The Federated Learning of Cohorts technology (FLoC) is a replacement for third-party cookies. They gather data based on the behavior of groups of users (called cohorts) to generate relevant online ads. While this sounds good, it’s not without controversy.

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