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Seven Must-Read Stories (Week Ending March 28, 2015)

Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
  1. Technology and Persuasion
    Persuasive technologies surround us, and they’re growing smarter. How do these technologies work? And why?
  2. Genome Study Predicts DNA of the Whole of Iceland
    Large genome databases are starting to reveal critical health information—even about people who have not contributed their DNA.
  3. Facebook Lets Developers Build on Its Chat App
    Facebook hopes that adding functionality like video sharing and shopping to Messenger will help it grow even as competition rises.
  4. Amazon Robot Contest May Accelerate Warehouse Automation
    Robots will use the latest computer-vision and machine-learning algorithms to try to perform the work done by humans in vast fulfillment centers.
  5. Single-Dose Cures for Malaria, Other Diseases
    A leading researcher issues a call for pills that deliver a full course of treatment in one swallow.
  6. Survival in the Age of Spotify
    Two rock musicians find flaws—and hope—in a book that suggests how artists can earn a decent living even after free online access to music has ravaged the business.
  7. Microsoft’s Wristband Would Like to Be Your Life Coach
    Microsoft is working to combine biometric data collected by its new wristband with information from your calendar and contacts to make smarter observations.
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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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