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SpaceX’s Starship Moon lander passes NASA review alongside Blue Origin, Dynetics

Pictured on the left, SpaceX's lunar Starship is a customized version of the baseline ship meant to land NASA astronauts on the Moon. (SpaceX)

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A variant of SpaceX’s Starship spacecraft optimized to land NASA astronauts on the Moon has passed the space agency’s first review alongside competing teams lead by Blue Origin and Dynetics.

Aside from reiterating the fact that NASA is drawing heavily from its experience with the Commercial Crew Program (CCP), the completion of “certification baseline reviews” for Blue Origin, Dynetics, and SpaceX’s proposed lunar landers is a significant step forward for the Human Landing System (HLS) and Artemis programs. According to NASA’s official HLS “Broad Agency Announcement” or BAA, providers must submit a vast amount of paperwork and data to pass the certification baseline review (CBR).

NASA’s acceptance criteria for CBR documentation is about as general as the space agency gets, requiring providers to demonstrate at least a basic level of maturity and expertise. Like the name suggests, it sets a baseline from which NASA and SpaceX, Dynetics, and Blue Origin’s National Team will hone in on challenges and concerns specific to each system. SpaceX’s proposal is almost certainly unique, however, given that the company is the only one anywhere close to performing actual flight tests of a (relatively) similar system.

Pictured on the left, SpaceX’s lunar Starship is a customized version of the baseline ship meant to land NASA astronauts on the Moon. (SpaceX)

After much fanfare, NASA finally revealed its first real Human Landing System contracts on April 30th, 2020, awarding funds to Blue Origin, Dynetics, and SpaceX to develop three extremely dissimilar Moon landers. Designed to ferry NASA astronauts from a deserted lunar orbit (near-rectilinear halo orbit, NRHO). NASA initially refused to delineate the distribution of the $967 million contract.

A list of the HLS Certification Baseline Review (CBR) “acceptance criteria and products”. (NASA)

Several news outlets later reported that Blue Origin’s “National Team” (including Draper, Lockheed Martin, and Northrop Grumman) received $567 million to develop a complex three-stage system, using Blue Origin’s existing Blue Moon lander work for the final descent stage and lander. Dynetics won $253 million to build a slightly more familiar single-stage lander and SpaceX received $135 million for a single-stage Starship-derived vehicle.

The main goal of NASA’s initial funding is to extensively characterize and understand the capabilities and characteristics of each proposal and the likelihood that each vehicle will actually be ready to land humans on the Moon by the end of 2024. The next major HLS milestone will be what the space agency calls a “continuation review,” in which NASA will likely downselect to one of the three landers above. Administrator Jim Bridenstine says that NASA may decide to proceed with more than one provider but the strong implication is that only one will exit the ~December 2020 continuation review with future funding.

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(SpaceX)
Unlike Blue Origin and Dynetics, SpaceX has already flight-tested multiple full-scale Starship prototypes. (SpaceX)

For SpaceX, it appears that the company will almost certainly field an orbit-capable Starship and Super Heavy booster with or without external help. At this point in the program, it would take a major upset for SpaceX not to be ready to start orbital Starship launch attempts in 2021. To an extent, SpaceX has proven through Falcon 9, Falcon Heavy, and Crew Dragon that it’s capable of developing reliable, reusable, industry-leading rockets and spacecraft several times more cheaply than its closest competitors.

To build a Starship safe and reliable enough that SpaceX can convince NASA to land astronauts on the Moon with it, the company will effectively have to prove that it can cut the cost of rocket production by another factor of five or ten. Time will tell where NASA’s HLS cards fall just a few months from now.

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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 faces Full Self-Driving pushback in EU over ‘speeding’

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Credit: Tesla

A new report from Reuters claims that a transport authority in Sweden is pushing back against the approval of Tesla’s Full Self-Driving suite because it will travel over speed limits.

The report says the Swedish Transport Administration (TRV) recommends the European Union votes against FSD’s approval. TRV believes it should not be approved until Tesla disables FSD’s ability to speed.

TRV sent a letter to the European Union’s Technical Committee on Motor Vehicles (TCMV), which is set to meet on June 30 to discuss the potential approval of the Tesla FSD suite in the country. Tesla, which has received various approvals in Europe over the past two months, has not provided a comment.

Tesla Full Self-Driving gets first-ever European approval

Teslas operating on FSD do travel over the speed limit, depending on the Speed Profile that is chosen. Drivers have the ability to disengage FSD at any point; Tesla specifically states that those supervising the suite are responsible for its actions.

Let’s cut to the chase: humans operating any vehicle speed almost daily in the United States. Realistically, speed limits in the U.S. are more frequently treated as speed minimums. However, other countries are different, and driving behaviors are less aggressive.

TRV believes that “allowing automated systems to systematically exceed legal speed limits…risks undermining both the legal framework and the expected safety benefits of ​vehicle automation,” the report stated. It’s surprising that Tesla has not received this claim from other countries previously.

This could be a good argument to bring Max Speed back, the setting that previously allowed the driver to choose the absolute fastest the car would travel.

This would still put the responsibility of supervision in the hands of the driver. It would allow the driver to choose whether the car would travel over the speed limit or not, acknowledging that they set the speed, and if they get pulled over, there would be no ability to argue it.

However, it does not seem as if this is something Tesla will do, especially considering many U.S. drivers have requested the feature in an effort to eliminate speeding or at least tone it down. The company has not shown any interest in bringing it back.

Tesla has approvals for FSD in Europe in Estonia, Lithuania, Denmark, the Netherlands, and Belgium.

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Tesla teases greater Grok FSD integration and ‘Banish’ feature ‘in about 3 months’

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Credit: Tesla

Tesla is going to let you guide Full Self-Driving with Grok in 3 months, CEO Elon Musk confirmed on X.

The response from Musk, which revealed Tesla plans to allow drivers to effectively control the car and its navigation more explicitly using Grok, puts the feature for about September.

A Tesla owner said that Full Self-Driving is great, but owners should be able to “converse with Grok like we can with an Uber driver.” She then used examples like, “Grok, turn right here,” and “Drop us off right here, we’ll walk due to traffic,” and finally,” Drop at entrance first, then park far away.”

Coincidentally, the final piece of dialogue would also mean features like Banish are potentially on the way soon.

Banish is also referred to as “Reverse Summon,” and would enable the car to self-park while dropping occupants off at their destination.

This would be a great way to improve the overall experience while supervising FSD. Navigation is already a major painpoint that many owners complain about. Manual overrides when a maneuver is requested or canceled (like using the turn signal stalk to override a navigation route), do not always work.

The feature could be especially useful in street parking scenarios in a city, where spots are sometimes tough to come by. Many of us who grab dinner in a more populated area will park a street or two over from wherever we’re going, because sometimes you know that’s the best you will get. If a driver using FSD could say, “Hey Grok, turn right here on Queen St. and park in that open spot on the right,” it could save a lot of confusion FSD might have on its own.

Musk teased that a similar feature was “coming” back in February:

Tesla Full Self-Driving set to get an awesome new feature, Elon Musk says

It is certainly surprising that Tesla is doing it at this point. The company’s more recent moves have been more evident of taking control and inputs away from humans and putting them in the AI’s hands more frequently. The biggest example of this was taking away Max Speed in AI4 cars, giving us Speed Profiles, and not having any input on the fastest speed the car will travel.

Of course, giving navigation preferences to Grok is availble already in Teslas, but not at the drop of a hat. Instead, you can suggest a certain route at the beginning of your drive.

Here’s an example of that from December:

Finally, the original post that Musk responded to mentioned a parking preference after dropping off the occupants, which describes the Banish feature that Tesla has teased for years.

We’re not sure if Musk was responding more to the ability to guide the car with Grok, or whether he also was including Banish in the three-month prediction timeframe.

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Tesla Cybercab has one important piece that AI4 cars might need for FSD

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Credit: @tpgoebel | X

A close-up image of a Cybercab engineering vehicle in Peabody, Massachusetts, reveals a compact triangular side repeater camera housing equipped with an integrated washer mechanism.

This seemingly small hardware addition could prove to be one of the most critical components for achieving reliable, unsupervised Full Self-Driving (FSD) — not just for the dedicated Robotaxi but potentially for existing AI4-equipped vehicles as well.

The washer system’s importance cannot be overstated in Tesla’s vision-only autonomy approach. Cameras are the sole sensory input for the neural networks powering FSD, constantly interpreting the environment for safe navigation. In real-world conditions, however, lenses quickly accumulate rain, snow, mud, dust, or road spray.

Many of us Tesla owners, especially those who deal with any sort of winter weather at all, know the all-too-common alert that pops up when cameras are obstructed:

Even brief obstructions can drop perception confidence, trigger safety disengagements, or force the vehicle to pull over, although these are relatively rare. Instead, most of the time, the camera will need a wipe from the owner next time they stop the car.

But unlike human drivers who can manually clear their view, a Robotaxi operating 24/7 without a steering wheel or mirrors must maintain pristine vision autonomously. The Cybercab’s side repeater washer delivers targeted cleaning bursts precisely where needed for merging, lane changes, and blind-spot monitoring — functions that demand uninterrupted visibility from the external cameras:

This hardware directly tackles a known pain point in current FSD deployments. Owners frequently report camera-related alerts during inclement weather, which is understandable, but needs to be solved for a true autonomous experience.

For a production Robotaxi fleet aiming for high utilization and minimal downtime, robust washer systems represent a foundational reliability upgrade; essentially, they’re a must-have. Early sightings suggest the design may extend to rear cameras as well, creating a comprehensive cleaning architecture that keeps the entire vision suite operational in harsh environments.

Without it, even the most advanced neural nets struggle when their “eyes” are compromised.

What Does This Mean for AI4 Cars?

This Cybercab detail raises timely questions for AI4 cars already on the road. While Hardware 4 delivers superior compute and camera resolution compared to earlier versions, production models typically lack dedicated side and rear washers. Tesla has included them on Model Y robotaxis that it is using in the fleet:

Tesla Robotaxi has a highly-requested hardware feature not available on typical Model Ys

As Tesla refines unsupervised FSD for broader release, the gap in environmental resilience becomes evident. Software improvements can help mitigate issues, but they cannot fully replace physical cleaning in heavy rain or muddy conditions. Analysts and owners increasingly speculate that AI4 vehicles may eventually require similar washer retrofits — or a future AI4.5 variant — to match the Cybercab’s all-weather readiness and support the same level of autonomy.

As testing progresses, the Cybercab’s washer mechanism highlights Tesla’s pragmatic focus on real-world robustness. It may well become the hardware piece that determines how quickly and reliably FSD scales from prototypes to everyday vehicles.

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