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Falcon 9 has won a contract launch what will likely be a rideshare mission - featuring the Nova C Moon lander - in July 2021. (SpaceX) Falcon 9 has won a contract launch what will likely be a rideshare mission - featuring the Nova C Moon lander - in July 2021. (SpaceX)

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SpaceX’s Falcon 9 rocket wins commercial Moon lander launch contract

Falcon 9 has won a contract launch what will likely be a rideshare mission - featuring the Nova C Moon lander - in July 2021. (SpaceX)

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Intuitive Machines has selected SpaceX’s Falcon 9 workhorse to launch the company’s commercial Nova-C Moon lander as early as July 2021.

Funded in May 2019 as part of NASA’s Commercial Lunar Payload Services (CLPS), Nova-C is designed to deliver up to 100 kg (220 lb) of useful payload to the surface of the Moon. NASA hopes to take advantage of that capability to dramatically lower the cost of lunar science, exploration, and prospecting.

In May 2019, NASA awarded three separate CLPS contracts worth approximately $255M in a bid to fund the development and first launches of three commercial Moon landers. Orbit Beyond, a recipient of $97M, has since returned the money after indicating to NASA that they couldn’t follow through on their commitments, possibly related to the company’s close technological ties to already-built Indian Moon lander designs.

Regardless of that drama, two of the three awardees – Astrobotic and Intuitive Machines – remain intent upon becoming the first private company to perform a soft-landing on the Moon. Astrobotic’s Peregrine lander received $79.5M to Intuitive Machines’ $77M and both companies are working towards inaugural launches no earlier than (NET) July 2021.

In August, Astrobotic announced that Peregrine’s first lunar landing attempt would launch on the first flight of the United Launch Alliance’s (ULA) Vulcan Centaur rocket, meant to replace the Lockheed Martin-Boeing cooperative’s Delta IV and Atlas V vehicles. Although that decision likely saved Astrobotic a significant amount of money on Peregrine’s launch contract, it does mean that the lander will be under heavy threat of launch-side delays as ULA works to prepare Vulcan for its launch debut.

Intuitive Machines, on the other hand, has selected SpaceX’s Falcon 9 for the NET July 2021 launch debut of its Nova-C lander. Weighing ~1500 kg (3300 lb) at launch and designed to head to the Moon from Earth orbit, Falcon 9 will likely have plenty of room left for additional copassenger satellites.

SpaceIL’s Beresheet Moon lander is stacked on top of the PSN-6 communications satellite. (SpaceX)

Of note, SpaceX has already supported the launch of Israeli company SpaceIL’s Beresheet spacecraft in what was the first commercial Moon landing ever attempted. Launched in February 2019, the lander sadly failed just a few kilometers above the lunar surface, but the mission was still inspiring and a strong sign that – while no easy task – private companies can almost certainly land payloads on the Moon.

For now, Astrobotic and Intuitive Machines remain neck and neck in their separate bids to land on the Moon, paving the way for a good-old-fashioned race to the lunar surface.

https://www.youtube.com/watch?v=9Z6k9KWFwHg

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Elon Musk secretly acquires $1B energy company to power the AI future

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk flew under the radar with his recent purchase of a $1 billion energy company, according to Federal Trade Commission (FTC) documents.

Transaction number 202612350 listed Tesla and SpaceX frontman Elon Musk as the acquiring party and CF APR Super Holdings LLC as the seller, with New APR Energy, LLC as the acquired entity. The deal, which closed without public announcement, came to light on May 14.

Analysts inferred the deal’s scale from minority stakeholder disclosures, including one report of a 5 percent interest sold for approximately $50.4 million. Fortress Investment Group had purchased APR’s assets in late 2024, rebranded the operation as New APR Energy, and subsequently transferred ownership to Musk.

APR Energy specializes in rapidly deployable power infrastructure. The company maintains one of the world’s largest fleets of mobile gas and diesel turbines, with more than 1.1 gigawatts of generation capacity. Its modular units, which are often trailer-mounted, enable turnkey installations ranging from 20 MW to over 500 MW.

Elon Musk admits he was ‘clearly wrong’ about Anthropic

APR provides full engineering, procurement, construction, operation, and maintenance services for behind-the-meter power plants, serving everything from data centers, utilities, and industrial clients.

The firm has expanded aggressively to meet surging demand, recently adding turbines and deploying over 100 MW for a major AI hyperscaler. Its solutions bridge critical gaps where grid interconnections face delays of two to five years, according to Yahoo.

The acquisition means something more for Musk. As he continues to expand projects in artificial intelligence, especially xAI, his AI venture, there is a greater need to supply energy-intensive supercomputing clusters, including the Colossus project, with what they need: reliable and high-capacity power.

Ownership of APR provides immediate access to flexible generation assets that can be deployed adjacent to data centers, reducing dependence on a strained infrastructure. It also complements Tesla’s energy storage business, so Musk will be able to pull from his own entities to address the rapid scaling demands of AI training and compute.

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Tesla has to fix a big problem with its old headlights, NHTSA says

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tesla model 3 first generation headlight
Credit: Tesla Asia/Twitter

Tesla had a petition protesting a recall to fix a potential issue with 2017-2023 Model Y and Model 3 vehicles’ headlights was denied, as the National Highway Traffic Safety Administration (NHTSA) disagreed with the company’s opinion of things.

The recall covers approximately 19,917 Model Y and Model 3 vehicles built from 2017 to 2023. Tesla initially submitted a noncompliance report for the headlights on these vehicles on March 15, 2024. Tesla then petitioned for an exemption from the fix, which violated FMVSS No. 108 (40 CFR 571.108), arguing that the “noncompliance is inconsequential as it relates to motor vehicle safety.

The NHTSA disagreed, stating that Tesla’s conclusion that the headlights do not increase any risk was not an opinion it shared. The agency said it disagreed with Tesla’s assumption that glare is not increased to surrounding traffic. This issue could be highlighted even more in certain weather conditions.

Tesla will be required to remedy the issue, the NHTSA ruled:

“In consideration of the foregoing, NHTSA has decided that Tesla has not met its burden of persuasion that the subject FMVSS No. 108 noncompliance is inconsequential to motor vehicle safety. Accordingly, Tesla’s petition is hereby denied, and Tesla is consequently obligated to provide notification of and free remedy for that noncompliance under 49 U.S.C. 30118 and 30120.”

The issue here appears to be the angle of the headlights and the brightness they emit during operation. The NHTSA report states that:

“Tesla’s headlamp supplier, Marelli Automotive Lighting, tested 25 right-hand and 25 left-hand lamps, and for this sample, found the maximum photometric intensity measured in the 10°U to 90°U and 90°L to 90°R zone was between 136.2 cd and 230.1 cd for the right-hand lamps and between 117.5 cd and 160.3 cd for the left-hand lamps. According to Tesla, these tests revealed that the photometric intensity of the right-hand and left-hand headlamp lower beam on the subject vehicles may measure as much as 230.1 cd in the 10°U to 90°U and 90°L to 90°R zone, exceeding the maximum photometric intensity by 105.1 cd. Additionally, Tesla states that a left-hand lamp tested by a Transport Canada recognized laboratory measured a maximum of 171.27 cd in the 10°U to 90°U and 90°L to 90°R zone. Despite these measurements exceeding the allowed photometric maximum of 125 cd, Tesla believes that the subject noncompliance is inconsequential to motor vehicle safety.”

Tesla also argued at some points that the headlights had not been deemed responsible for any complaints, accidents, or injuries related to the noncompliance.

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NTSB findings on fatal Tesla crash tell a very different story

The NTSB confirmed the driver, not Tesla’s FSD, caused the fatal Texas house crash.

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The National Transportation Safety Board released preliminary findings Wednesday confirming that a Tesla driver, not the vehicle’s software, caused a fatal crash in Katy, Texas in June. The driver, 44-year-old Michael Butler, had engaged Full Self-Driving Supervised mode on Rose Hollow Lane, a residential street with a 30 mph speed limit, before manually overriding the system by pressing the accelerator pedal all the way to 100%. Data recovered from the 2025 Tesla Model 3 showed the vehicle was traveling over 70 miles per hour when it struck a home and killed 76-year-old Martha Avila, who was inside. Weather was clear, the road was dry, and it was daylight.

Texas man charged in fatal Tesla crash where he blamed Autopilot

Butler told authorities he had passed out at the wheel. But security camera footage obtained by the NTSB told a different story, and showed the car accelerating through an intersection before leaving the road entirely. Police also found that Butler’s phone had Google searches including the terms “Tesla FSD not aggressive enough 2026” and “Tesla FSD too timid,” raising serious questions about how he was using the system before the crash. Butler has since been charged with manslaughter. The victim’s family has filed a lawsuit against both Butler and Tesla, alleging negligence.

The NTSB findings aligned directly with what Tesla VP of AI Software Ashok Elluswamy had already stated publicly on X in the weeks after the crash, writing that “the driver manually overrode self-driving by pressing the accelerator all the way to 100%.” The data confirmed his account.

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