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Elon Musk’s back at it again, folks — and this time, his attorney is accusing the federal government of leaking.

Following up on his claim that the Securities and Exchange Commission was trying to harass him into silence, Musk’s attorney accused the commission of “leaking certain information” in an ongoing retaliation campaign against the Tesla and SpaceX CEO.

This alleged campaign supposedly began back in 2018, when the SEC investigated Musk for tweeting about selling Tesla stock at $420 a share and taking the company private, eventually charging him with misleading investors. Though that case was settled in 2018 after Musk and Tesla paid $20 million each in fines, new reporting about the commission subpoenaing the CEO in recent months has reignited the debacle.

Imagine a field of wheat that extends to the horizon, being grown for flour that will be made into bread to feed cities’ worth of people. Imagine that all authority for tilling, planting, fertilizing, monitoring and harvesting this field has been delegated to artificial intelligence: algorithms that control drip-irrigation systems, self-driving tractors and combine harvesters, clever enough to respond to the weather and the exact needs of the crop. Then imagine a hacker messes things up.

A new risk analysis, published today in the journal Nature Machine Intelligence, warns that the future use of artificial intelligence in agriculture comes with substantial potential risks for farms, farmers and that are poorly understood and under-appreciated.

“The idea of intelligent machines running farms is not science fiction. Large companies are already pioneering the next generation of autonomous ag-bots and decision support systems that will replace humans in the field,” said Dr. Asaf Tzachor in the University of Cambridge’s Center for the Study of Existential Risk (CSER), first author of the paper.

“Ocean Battery resolves a societal challenge to provide access to renewable power generation without destabilizing the power grid and meet our climate goals. The Dutch Water engineers resolved this problem in a brilliant yet simple way with a tremendous amount of creativity, innovation power and Dutch entrepreneurship,” the press release continues.

Keep reading for more on this exciting new piece of technology, that could be revolutionary for the transition to cleaner means of energy.

Rutgers professor Jason Barr has proposed adding 1,760-acres of reclaimed land, named New Mannahatta, to the tip of Manhattan to provide housing and combat climate change.

Called New Mannahatta in reference to the indigenous name for the island in New York, the plan would extend Manhattan Island into New York Harbor beyond the Statue of Liberty.

Barr, a professor of economics at Rutgers University, outlined his plan in an opinion piece directed at the city’s mayor Eric Adams, which was recently published in the New York Times.

LG’s solar business panel business joins the company’s smartphone business in the graveyard, with the latter business being canned last April as it could not compete with other smartphone brands in the market. Prior to the smartphone business closing shop, it had recorded 23 consecutive quarters of loss.

The decision was approved by the board of directors on Monday night, LG said.

LG’s solar panel production will start winding down next month, the company said, with the business to officially shut down at the end of June.

Tesla asks for help… SpaceX stacks… Elon Musk pays in Doge. It’s the free edition of Musk Reads #286.

And for our premium members — last week, you learned about Moon Bikes. This week, you will hear from author Jimmy Soni about what Musk’s earliest success reveals about his management style.

“They will be fine” — Elon Musk tweeted in response to a user wondering “How can I feel good about bringing kids into the world given climate change?” The real answer is much more complicated; the next few decades are fraught, and some children are already experiencing the worst of what climate change has to offer. Read more on Inverse.

Space colonization requires us to better understand how Earth sustains us.

In the coming decades, space agencies from around the world will be venturing farther out into space than ever before. This includes returning to the Moon (perhaps to stay this time), exploring Mars, and maybe even establishing human settlements on both. Beyond that, there are even proposals for establishing habitats in space that could accommodate millions. These plans build on decades of planning that go back to the dawn of the Space Age. In some cases, the plans are inspired by proposals made over half a century prior to that. While these grand visions for space exploration and colonization present many challenges, they also inspire innovative solutions. In particular, missions to deep-space require fresh thinking about environmental control and life-support systems (ECLSS) that can provide self-sufficiency in terms of air, water, food, and protection from radiation and the dangers of space. These are essential since missions that take astronauts far from Earth cannot depend upon resupply missions from the surface to Low Earth Orbit (LEO).

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Successfully achieving nuclear fusion holds the promise of delivering a limitless, sustainable source of clean energy, but we can only realize this incredible dream if we can master the complex physics taking place inside the reactor.

For decades, scientists have been taking incremental steps towards this goal, but many challenges remain. One of the core obstacles is successfully controlling the unstable and super-heated plasma in the reactor – but a new approach reveals how we can do this.

In a joint effort by EPFL’s Swiss Plasma Center (SPC) and artificial intelligence (AI) research company DeepMind, scientists used a deep reinforcement learning (RL) system to study the nuances of plasma behavior and control inside a fusion tokamak – a donut-shaped device that uses a series of magnetic coils placed around the reactor to control and manipulate the plasma inside it.