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It’s been a tumultuous 12 months for mainland China’s richest. Shifts in government policy covering the education and tech industries, along with worries about real estate debt, led to many of the country’s largest private-sector companies experiencing steep share declines. A government push to promote “common prosperity” saw tycoons and tech companies announce billions of dollars in donations to social causes.

Yet overall, China’s 100 Richest saw their collective net worth rise from last year’s list. Their total wealth increased to $1.48 trillion from $1.33 trillion a year earlier. Among the biggest gainers were those who benefited from increased sales at companies tied to green energy industries in which China is a global leader, such as lithium-ion batteries. China, the world’s largest auto market, also leads the world in EV sales. The minimum net worth to make the top 100 rose to $5.74 billion from $5.03 billion a year ago.

The second-biggest increase in wealth went to Robin Zeng, chairman of battery-maker Contemporary Amperex Technology, whose fortune increased to $50.8 billion from $20.1 billion last year. That earned him the No. 3 spot on this year’s list.

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Billionaire Elon Musk and his Twitter account have had some adventures.

In 2,018 Musk’s tweet that he was “considering taking Tesla private” invited charges from the Securities and Exchange Commission and a $20 million fine.

As the country was locked down in April 2020 amid the coronavirus pandemic, Musk tweeted: “FREE AMERICA NOW.”

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In 1,977 NASA sent out two Voyager probes to study Jupiter and Saturn. The spacecrafts were designed to last about five years, but they are still, to this day, collecting and sending back data from beyond the solar system. But the Voyager mission is living on borrowed time. Today NPR science correspondent Nell Greenfieldboyce talks about a proposal for an intentionally long mission — what it would take for NASA to actually plan for an interstellar voyage that would pass research and responsibility down through generations.

What would you put on a spacecraft bound for the stars? Email the show at [email protected]!

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DeepMind is mostly known for its work in deep reinforcement learning, especially in mastering complicated games and predicting protein structures. Now, it is taking its next step in robotics research.

According to a blog post on DeepMind’s website, the company has acquired the rigid-body physics simulator MuJoCo and has made it freely available to the research community. MuJoCo is now one of several open-source platforms for training artificial intelligence agents used in robotics applications. Its free availability will have a positive impact on the work of scientists who are struggling with the costs of robotics research. It can also be an important factor for DeepMind’s future, both as a science lab seeking artificial general intelligence and as a business unit of one of the largest tech companies in the world.

Simulation platforms are a big deal in robotics. Training and testing robots in the real world is expensive and slow. Simulated environments, on the other hand, allow researchers to train multiple AI agents in parallel and at speeds that are much faster than real life. Today, most robotics research teams carry out the bulk of training their AI models in simulated environments. The trained models are then tested and further fine-tuned on real physical robots.

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