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To harness the untapped power of subtraction in the future, we need to understand why we haven’t embraced it in the past.

Players are discovering new ways to monetize, whether by building original game worlds, selling in-game goods on the blockchain, or engaging new streamer tools.

Frank Chen and Zoran Basich of a16z cover the bigger picture of the chip shortage that has led to stalled production for major U.S. automakers.

When you hear stories about Amazon’s “invention machine” — which led to a company with not just one or two products but several successful diverse lines of business — we often hear about things like: Memos...

This episode of Bio Eats World takes us from a world of pipette and lab benches to a world of industrial robots making medicines.

How tech-enabled financial tools can cut through bureaucracy, downsize student debt, and optimize consumers’ financial futures from an early age.

Many diseases are caused by proteins that have gone haywire in some fashion. So how do you get rid of these problematic proteins? Dr. Bertozzi and her lab developed a class of drugs that, in essence, tosses the disease-related proteins into the cellular trash can.

Once a fringe field, the science of aging is now entering a new phase with the first clinical trials of aging-related drugs. As the entire field shifts into this moment of translation, what have we learned? What are the basic approaches to developing aging-related drugs? How is studying aging helping us understand diseases like cancer and Alzheimer's—and increasing the amount of time we are healthy—today? 

The algorithm that powers TikTok, the short video platform that grabbed massive marketshare in cultures and markets never experienced firsthand by the engineers and designers in China, beating out other apps in the U.S. But with talk of U.S. ownership/partnership for TikTok, what happens if the algorithm isn't included? And what can we learn from the "creativity network effects" flywheel of TikTok; about "algorithm friendly" product design; and more broadly, for the future of video.

What's real, what's hype when it comes to all the recent buzz around the language model GPT-3? What is "it", how does it work, where does it fit into the arc of broader tech trends (natural language, neural networks, deep learning approaches, more) -- and are we really getting closer to artificial general intelligence?