Seven Must-Read Stories (Week Ending April 19, 2014)
Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
- Does Musk’s Gigafactory Make Sense?
Tesla’s audacious plan to build a giant battery factory may mostly be a clever negotiating tactic.
- Selling Teslas in China Won’t Do Much for the Environment
Because China relies so heavily on coal for power, electric vehicles aren’t necessarily an improvement over gasoline-powered cars.
- World Cup Mind-Control Demo Faces Deadlines, Critics
A Brazilian neuroscientist says brain-controlled robotics will let the paralyzed walk again.
- The Limits of Social Engineering
Tapping into big data, researchers and planners are building mathematical models of personal and civic behavior. But the models may hide rather than reveal the deepest sources of social ills.
- The Underappreciated Ties Between Art and Innovation
Author Sarah Lewis discusses some counterintuitive pathways to breakthroughs.
- Laws and Ethics Can’t Keep Pace with Technology
Codes we live by, laws we follow, and computers that move too fast to care.
- How to Detect Criminal Gangs Using Mobile Phone Data
Law enforcement agencies are turning to social network theory to better understand the behaviors and habits of criminal gangs. <
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
ChatGPT is going to change education, not destroy it
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
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