A day after Elon Musk proved that his Falcon Heavy is in fact the world’s most powerful operational rocket, the tech mogul has another mountain to climb: Efficiently manufacturing Tesla cars and semi trucks.

“I’m hopeful that people think that if we can send a Roadster to the asteroid belt, we could probably solve Model 3 production,” Musk during said during said during the Tesla earnings call on Wednesday. “It’s just a matter of time.”

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The car company also reported that it saw its biggest quarterly losses ever in the fourth quarter of 2017. But Musk believes he can use tunnels dug by his infrastructure company — The Boring Company — to streamline Tesla production.

The limiting factor, said Tesla CTO Jeffrey B. Straubel, is if Tesla continues to ramp up production, at a certain point it won’t be able to get materials made in one factory to another. The primary production factory in Fremont — once used by GM and Toyota — would be waiting on truck shipments of parts for final assembly, which would slow everything down.

Musk’s solution to this production issue is simply: Tunnels.

“We have a bunch of trucks moving seats back and forth between both the primary Fremont production and the seat factory,” explained Musk. “And we actually get constrained on how many trucks [we can] dock and undock at the seat factory, which is only…half a mile or a mile away from the vehicle plant. So it’ll be pretty easy to just have a tunnel, do an automated conveyance from seats to the factory.”

The Tesla Model 3.

Musk has pushed for an underground, freight-shipping system he calls, the hyperloop. He goes on to explain that if Tesla factories were linked together by a system of tunnels, production of vehicles would vastly improve.

“I can see a path where we get to say 600,000 Model 3 production and 100,000 S and X, so maybe 700,000, which should be like almost 50% more than GM or Toyota got out of the plant,” he stated. “I mean that seems achievable.”

Roughly 400,000 people have reserved a Model S and the company is struggling to produce 5,000 a week. The Model 3 is modestly priced at $35,000 and is supposed to be the car to propel electric vehicles into the mainstream.

Musk has surmounted the seemingly unsurmountable before, but pulling this off is crucial for Tesla’s success in the future.

Apple’s next iPhone models are almost here, which raises an annual dilemma for consumers thinking about getting a new phone: hold on to what you got until the new slate of phones is released — likely next month — or hunt around for deals on last year’s models?

As the tech world turns its attention to the next range of devices, evidence suggests buyers could grab a discount on used models ahead of the announcement while those in the market for a new phone are likely better off waiting until after the new phones launch to take better advantage of the product cycle.

While the Serengeti National Park is home to some of the world’s most breathtaking wildlife, it’s also home to 225 hidden cameras — known as camera traps — that unobtrusively document the prides of lions and packs of hyenas traversing the Tanzanian savannah. Documenting these animals and their whereabouts is essential for monitoring the population of endangered species, preserving biodiversity, and also seeking out new phenomena or even species that have yet to be discovered. And until now it’s also been a huge pain.

Guiding someone who has no idea where they’re going through bustling city streets takes both excellent communication skills and unwavering patience. Artificial intelligence is a master of the latter, but still has a lot of room for improvement when it comes to understanding and responding to humans.

In part because it’s such a perfect storm for miscommunication, computer scientists at Facebook’s A.I. research lab actually think they can improve A.I.’s mastery of communication by having it guide a virtual tourist through New York City. They’ve dubbed this project Talk the Walk and they tell Inverse this method could be the key to teaching machines how to master the nuance of language.

Having a robotic butler hand you a steaming cup of coffee and the newspaper in the morning is something science fiction has made us yearn for and modern robotics has brought into the realm of possibility. Yet roboticists are still having trouble teaching machines how to complete tasks that even children are capable of. That’s why two researchers at the University of California, Berkeley have begun teaching a robot as if it were a five-year-old in the hopes of turning them into the taskmaster robots of the silver screen.

Elon Musk’s OpenAI published an update on Monday about its ongoing quest to build unbeatable eSports teams powered solely by A.I. By August, the venture plans to field a team of five neural networks that will be ready for global competition.

Almost a year after crushing some of Dota 2’s best players in one-on-one matchups, OpenAI is back to master team contests. In the blog post published Monday, the research company said its A.I. plays about 180 years worth of games against itself every day in preparation for The International tournament in August.