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SpaceX begins work on Starship orbital propellant transfer test for NASA

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More than six months after SpaceX won a NASA ‘Tipping Point’ award to demonstrate a large-scale cryogenic propellant transfer in orbit with Starship, the agency has begun disbursing funds, officially kicking off work on the mission.

Back in October 2020, NASA awarded 15 different companies more than $370 million for research and development projects related to managing cryogenic propellant in space, lunar surface operations, and autonomous landing technology. More than two-thirds of that funding went to four real in-space demonstrations of cryogenic propellant management and storage from Lockheed Martin, United Launch Alliance (ULA), SpaceX, and little-known startup Eta Space.

All four missions are fascinating in their own rights. Leaning heavily on Rocket Lab’s small Electron rocket and Photon spacecraft/kickstage, Eta Space will launch a tiny “cryogenic oxygen fluid management system” and demonstrate its performance for some nine months in orbit. Lockheed Martin will perform a similar but slightly larger test with cryogenic liquid hydrogen – far colder and much harder to handle – in low Earth orbit (LEO). Despite major investments in launch startup and competitor ABL Space, Lockheed Martin selected rocket-3D-printing startup Relativity to launch the mission – possibly because the company says it will be able to print a custom fairing to accommodate the payload’s unusual dimensions.

While ULA has effectively canceled ACES, Vulcan’s Centaur upper stage is still purportedly capable of similar performance. (ULA)

While vague, ULA appears to have plans to test the claimed long-duration coast capabilities of the Vulcan rocket’s Centaur V upper stage, though it’s unclear if that testing will be performed on the ground or in space. Finally, NASA awarded SpaceX $53 million for a “large-scale flight demonstration to transfer 10 metric tons of…liquid oxygen…between tanks on a Starship.”

In the context of NASA’s shocking April 2021 decision to competitively award SpaceX – and SpaceX alone – a $2.9 billion contract to return humanity to the Moon with Starship, the agency’s $53M investment in a demonstration of a capability Starship cannot reach the Moon without seems like a no-brainer. On its own, SpaceX’s next-generation fully-reusable Starship launch vehicle is expected to be able to deliver payloads of 100 to 150 metric tons (220,000-330,000 lb) to LEO. However, to make Starship fully reusable, the ship itself – also serving as the upper stage – is extremely heavy, drastically undercutting its performance to higher orbits.

To high Earth orbits, a lone Starship offers performance akin to SpaceX’s own Falcon Heavy. For Starship to be a truly revolutionary rocket, SpaceX will have to master rapid reusability and orbital refueling. Even with moderate refueling, Starship’s potential performance immediately leapfrogs all other existing and planned rockets. With full refueling in LEO, Starship quickly becomes capable of delivering dozens to 100+ tons of cargo and passengers to the surface of Mars. With refueling in high Earth orbit, Starship could land hundreds of tons on Earth’s Moon and likely launch cargo and spacecraft anywhere in the solar system in short order.

Ultimately, US Federal Procurement Database entries show that NASA ultimately procured $50.4 million for SpaceX’s propellant transfer demonstration, began disbursing funds ($15.1M) on May 4th, 2021, and expects SpaceX to complete work by the end of 2022. It’s unclear if NASA expects SpaceX to recover the Starship involved in the test.

If the rest of NASA’s funding is contingent upon successfully returning Starship for hands-on inspections and maximum data recovery, 2022 is a more reasonable target. If NASA deems data returned from orbit satisfactory, on the heels of SpaceX filing for an orbital Starship launch debut as early as next month, that demonstration mission could easily happen this year given that SpaceX only needs to launch one Starship to complete it.

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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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Tesla just made its headlights even better through a software update

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Credit: @jojje167 on X

Tesla just upgraded its headlights through a software update, making them even better without any physical or hardware upgrade.

Tesla’s latest software update is quietly improving nighttime driving for a small number of owners. Version 2026.38 includes a new capability called Dynamic Headlight Leveling.

The feature automatically adjusts the aim of the low beams in response to driving conditions and nearby traffic, with the goal of giving the driver more usable light on the road while reducing glare for oncoming vehicles and traffic ahead.

Unlike Tesla’s matrix high-beam system, which selectively dims individual LED segments to create shadows around other cars, Dynamic Headlight Leveling physically tilts the low-beam projectors. Internal motors respond to changes in vehicle pitch.

When the car accelerates hard, climbs a steep grade, or carries extra weight in the rear, the headlights can otherwise point higher than intended. The software counters that movement in real time so the beam stays aimed at the road surface rather than into the eyes of other drivers.

Early indications reveal the update is reaching a limited set of vehicles, including certain Model 3 and Cybertruck examples in the United States and the United Arab Emirates. The rollout does not appear tied to a single hardware revision, and Tesla has not published a broader schedule. It is simply a common waiting game until your car receives it.

The change arrives against a backdrop of wider complaints about headlight glare. Some earlier Model 3 and Model Y vehicles were the subject of an NHTSA recall related to excessive low-beam glare; the software adjustment offers a potential mitigation for cars equipped with the necessary leveling hardware. It does not replace adaptive high beams where those are already available, nor does it alter the basic low-beam pattern itself.

Instead, it keeps an existing beam pointed where it is most useful.

For drivers who have received the update, the system requires no new settings or user input. The headlights simply respond as road conditions and traffic change. As the feature reaches more vehicles, it adds another example of Tesla using over-the-air software to refine existing hardware rather than waiting for a new model year. Nighttime visibility and reduced glare for others are the practical results owners are expected to notice first.

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Tesla teases “Halloween Mode” update with Optimus rising from a graveyard

Tesla’s Halloween teaser hides a covered vehicle and an Optimus hand rising from the ground.

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Tesla has started teasing a Halloween software update for its vehicles, with  a short clip on X that reads, “Halloween is coming.” The clip opens on a glowing pumpkin before pulling back to the car’s center touchscreen, where the usual parked visualization has been replaced by a graveyard scene, and the vehicle draped with a white sheet so it reads as a cartoon ghost.

The second detail is a robotic hand clawing its way out of the dirt like a zombie, which looks to be the hand of Tesla’s latest Optimus V3 humanoid robot. While Tesla still has not formally shown Optimus Gen 3 walking around in service, renders pulled from Tesla’s Android app last month gave the clearest look yet, including far more refined hands that Tesla has said carry 22 degrees of freedom. The hand has been the hardest part of the program. Musk has called it the majority of the robot’s engineering difficulty, and Tesla’s patents describe a design driven by tendons with the actuators moved into the forearm.

Tesla Optimus V3 hand and arm details revealed in new patents

Optimus also has a Halloween track record. Last October the robot handed out candy in Times Square, and a costumed “zombie” Optimus shuffled around the Tesla Diner in Los Angeles on Halloween night.

On the software side, Tesla’s 2025 Holiday Update expanded Santa Mode with a Santa sleigh, snowmen, snow effects, and a festive lock chime, so it wouldn’t be too far fetched if we saw something similar but themed for a  Halloween Mode.

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Tesla says fixes on Full Self-Driving’s two biggest issues are on the way

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Tesla Full Self-Driving is set to receive improvements to address its two biggest issues, according to a company engineer.

Director of Engineering at Tesla AI, Phil Duan, revealed in a post on X that improvements to both pothole avoidance and navigation “are coming,’ something we have heard many times in the past. However, there are a few things that seem to hint that things might be different this time around.

Pothole avoidance, navigation, speed control, and left lane camping are some of the most prevalent and frequently mentioned shortcomings of the Full Self-Driving suite. These are a few of the biggest issues that have kept Tesla Full Self-Driving as a Supervised suite, meaning drivers must remain attentive during operation.

Pothole Avoidance

Pothole avoidance was first mentioned as an “Upcoming Improvement” with the Tesla Full Self-Driving v14.3 update back in early April of this year. It was listed alongside “Expand reasoning to all behaviors beyond destination handling.”

Tesla is fixing Full Self-Driving’s pothole problem

It’s been six months since we first saw pothole avoidance explicitly mentioned, and it has not moved beyond that and joined the main release notes yet.

Tesla has not shed any light on why pothole avoidance has been such an issue for it to solve, but it also has issues identifying large bumps much of the time, so its modeling of sudden changes in road conditions is likely pretty weak at this particular point. I’ve had more issues with large bumps than potholes, personally, but both are issues that need to be resolved.

It makes sense that things might be pretty close to being released to the public, as we are going on such an extensive period of time between it being mentioned and it actually being deployed.

Navigation

Navigation is likely the most painful part of using Full Self-Driving, as it routinely takes strange routes, has trouble with local rules (like Except Right Turn Stop Signs in Pennsylvania), and sometimes does not realize that maneuvers it is suggesting are against the law. Turning out of my neighborhood, you cannot turn left, yet my Model Y still suggests it roughly 70 percent of the time when I’m leaving.

However, Tesla might be close to a breakthrough on this. With the Summer Update, Tesla added “Preferred Routes” alongside “Automatic Navigation.”

Preferred Routes prioritized roads that the driver had actually taken before, instead of always defaulting to what the vehicle believes is the most efficient path. This has already solved many of my issues. Formerly, I would turn off the Online Routing setting, and that would eliminate most of my complaints with routing, but then you lose out later on the Live Traffic Visualization.

Tesla’s Navigation has improved tremendously thanks to the Preferred Routes release with the Summer Update, but it still could use some polishing, as it still suggests strange routes from time to time, and it also has a lot of issues getting out of a parking lot. I find that those truly confuse FSD sometimes.

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