MIT Technology Review’s Post

Details matter when it comes to progress towards net zero for Big Tech.

From using smaller devices to returning to digital downloads, here are the things everyone can do to listen to music without feeling guilty about the climate.

The hope is that these new high-altitude balloons might allow humans to manage—or at least understand—wildfires better.

There's a lot of genetic data out there. We're still figuring out how to use and protect it.

The operating room has long been defined by its hush-hush nature—what happens in the OR stays in the OR. A new smart monitoring system aims to change that by recording everything that happens during an operation. The system could help doctors avoid mistakes, but it’s also alarming some surgeons and leading to sabotage.

K-pop fans have for years been known for their incredible organizing power. Now, they’re pushing music streaming platforms to take action to combat climate change.

An engine malfunction has grounded SpaceX’s Falcon 9 rocket and highlighted how much the US depends on it for access to space.

Maybe AI is magic, maybe it’s math—nobody can decide.

A few weeks ago, Amazon trumpeted that it had purchased enough clean electricity to cover the energy demands of all the offices, data centers, grocery stores, and warehouses across its global operations, seven years ahead of its sustainability target.  That news closely followed Google’s acknowledgment that the soaring energy demands of its AI operations helped ratchet up its corporate emissions by 13% last year—and that it had backed away from claims that it was already carbon neutral. If you were to take the announcements at face value, you’d be forgiven for believing that Google is stumbling while Amazon is speeding ahead in the race to clean up climate pollution.  But while both companies are coming up short in their own ways, Google’s approach to driving down greenhouse-gas emissions is now arguably more defensible. Here’s why: https://trib.al/3VygtYu

Generative AI models have made it simpler and quicker to produce everything from text and images to video clips and audio tracks. Things that might have taken years for humans to create can now be generated in seconds. But while AI’s output can certainly seem creative, do these models actually boost human creativity?