Seven Must-Read Stories (Week Ending January 24, 2014)
Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
- Startup Thinks Its Battery Will Solve Renewable Energy’s Big Flaw
Aquion has started production of a low-cost sodium-ion battery aimed at making renewable energy viable. - Around the World, Net Neutrality Is Not a Reality
In much of the world, the concept of “net neutrality” generates less public debate, given there’s no affordable Net in the first place. - Tesla Motors’ Over-the-Air Repairs Are the Way Forward
Tesla and GM have both issued fire-related recalls, but Tesla’s fix doesn’t require owners to bring their cars in. - The Power to Decide
What’s the point of all that data, anyway? It’s to make decisions. - Chasing the Dream of Half-Price Gasoline from Natural Gas
A startup called Siluria thinks it’s solved a mystery that has stymied huge oil companies for decades. - Securing the Smart Home, from Toasters to Toilets
Efforts are underway to make your smart toilet—and other connected devices—less vulnerable to hackers. - How the Friendship Paradox Makes Your Friends Better Than You Are
The friendship paradox is the empirical observation that your friends have more friends than you do. Now network scientists say your friends are probably wealthier and happier, too. <
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Meta has built a massive new language AI—and it’s giving it away for free
Facebook’s parent company is inviting researchers to pore over and pick apart the flaws in its version of GPT-3
The gene-edited pig heart given to a dying patient was infected with a pig virus
The first transplant of a genetically-modified pig heart into a human may have ended prematurely because of a well-known—and avoidable—risk.
Saudi Arabia plans to spend $1 billion a year discovering treatments to slow aging
The oil kingdom fears that its population is aging at an accelerated rate and hopes to test drugs to reverse the problem. First up might be the diabetes drug metformin.
Yann LeCun has a bold new vision for the future of AI
One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.
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