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SpaceX’s Starship to spar with Blue Origin for NASA Moon landing contracts

SpaceX wants to land Starship on the Moon as early as 2022 and NASA may be willing to use the massive spacecraft to transport commercial and scientific payloads to its surface. (SpaceX)

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On November 18th, NASA announced that it had added commercial Moon lander offerings from SpaceX, Blue Origin, Sierra Nevada Corporation, and others to a pool of companies that will be able to compete to affordably deliver cargo to the surface of the Moon. With this latest addition of landers, competition could get very interesting, very quickly.

In November 2018, NASA revealed a big step forward in its plans to kickstart robotic exploration and utilization of the Moon, announcing nine new partners in its Commercial Lunar Payload Services (CLPS) initiative. Designed first and foremost to encourage the commercial development of unprecedentedly affordable Moon landers, the program’s first nine partners included Lockheed Martin, Astrobotic, Intuitive Machines, Masten Space, Orbit Beyond, and several others.

In May 2019, NASA announced the next step, contracting with three of those nine aforementioned providers to bring their proposed Moon landers to fruition and attempt their first lunar landings. Orbit Beyond dropped out shortly after but Astrobotic and Intuitive Machines continue to work towards that goal and aim to attempt the first Moon landings with their respective Peregrine and Nova-C spacecraft no earlier than (NET) July 2021. Intuitive Machines has contracted a SpaceX Falcon 9 for its first Nova-C Moon launch, while Astrobotic side with the very first launch of United Launch Alliance’s (ULA) next-generation Vulcan rocket.

From left to right: Astrobotic’s Peregrine, Intuitive Machines’ Nova-C, and OrbitBeyond’s Z-01. (NASA)

Generally speaking, the landers offered by the first nine CLPS partners were on the smaller side of the spectrum, capable of delivering around 50-100 kg (100-200 lb) of useful cargo to the surface of the Moon with launch masses around 1500-3000 kg (3300-6600 lb). On November 18th, NASA announced that a second group of partners would be added to the competitive ‘pool’ of CLPS-eligible Moon landers, all of which can technically compete to land a range of NASA payloads on the Moon. The new five are Ceres Robotics, Tyvak Nano-Satellite Systems, Sierra Nevada Corporation, Blue Origin, and SpaceX.

Next to nothing is known about Tyvak’s or Ceres Robotics’ apparently proposed landers, but a render of SNC’s Moon lander concept shares some obvious similarities with its Dream Chaser spacecraft and expendable power and propulsion module, implying that it’s likely on the larger side. Blue Origin and SpaceX, of course, proposed their Blue Moon and Starship spacecraft.

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Although tongue-in-cheek, the above render does serve as an excellent size comparison of Starship and Blue Moon, as do the identical NASA Moon rovers on the uppermost Starship’s elevator and atop the Blue Moon lander pictured below.

As a 100%-speculative guess, Ceres and Tyvak’s landers are likely in the same ~100 kg-class range as the nine CLPS providers selected before it, while Sierra Nevada’s lander concept is probably closer to 500 kg (1100 lb). According to Blue Origin, it’s recently-updated Blue Moon lander is designed to deliver up to 4500 kg (9900 lb) to the lunar surface and is expected to attempt its first Moon landing no earlier than 2024.

Unsurprisingly, SpaceX’s Starship blows all 13 other lander proposals out of the water and, in the context of the CLPS program, is a bit like bringing a Gatling gun to a paintball match. According to SpaceX, a fully-refueled Starship should be able to land 100 metric tons (220,000 lb) of cargo on the Moon, although it’s unclear if that would allow the Starship to return to Earth.

In simpler terms, there is just no chance whatsoever that the practical scope of NASA’s CLPS program could possibly warrant more than a few metric tons delivered to the surface of the Moon. NASA as a whole doesn’t have the budget needed to build useful several-dozen-ton spacecraft or experiments, let alone CLPS. In that sense, the real question to ask is what could Starship manage if the useful payloads it needs to deliver are no more than a few metric tons?

Assuming SpaceX’s technical know-how is mature enough to allow Starship to preserve cryogenic propellant for weeks or months after launch, it’s entirely conceivable that a Moon launch with, say, 10 tons of cargo could be achieved with just one or two in-orbit refuelings, all while leaving that Starship enough margin to safely return to Earth. Given that NASA awarded Intuitive Machines and Astrobotic approximately $80M apiece to land 50-100 kg on the Moon, it’s far too easy to imagine SpaceX quoting a similar price to deliver 10+ tons to the Moon by enabling full Starship reuse.

All things considered, politics still looms in the distance and there is just as much of a chance that SpaceX (and maybe even Blue Origin) will be passed over by CLPS when the time comes to award the next round of Moon delivery contracts. Still, the odds of something far out of the ordinary happening are much higher with a program like CLPS. Stay tuned!

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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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What is Digital Optimus? The new Tesla and xAI project explained

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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Credit: Grok

Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.

This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.

Tesla announces massive investment into xAI

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.

xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.

When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.

Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI

The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.

Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.

Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.

It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.

Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.

By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.

As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.

In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.

It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.

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Tesla adds awesome new driving feature to Model Y

Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.

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Credit: Tesla

Tesla is adding an awesome new driving feature to Model Y vehicles, effective on Juniper-updated models considered model year 2026 or newer.

Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.

Tesla writes in the release notes for the feature:

“Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.”

Interestingly, we’re not too sure what catalyzed Tesla to try to improve braking smoothness, because it hasn’t seemed overly abrupt or rough from my perspective. Although the brake pedal in my Model Y is rarely used due to Regenerative Braking, it seems Tesla wanted to try to make the ride comfort even smoother for owners.

There is always room for improvement, though, and it seems that there is a way to make braking smoother for passengers while the vehicle is coming to a stop.

This is far from the first time Tesla has attempted to improve its ride comfort through Over-the-Air updates, as it has rolled out updates to improve regenerative braking performance, handling while using Full Self-Driving, improvements to Steer-by-Wire to Cybertruck, and even recent releases that have combatted Active Road Noise.

Tesla set to activate long-awaited Cybertruck feature

Tesla holds a unique ability to change the functionality of its vehicles through software updates, which have come in handy for many things, including remedying certain recalls and shipping new features to the Full Self-Driving suite.

Tesla seems to have the most seamless OTA processes, as many automakers have the ability to ship improvements through a simple software update.

We’re really excited to test the update, so when we get an opportunity to try out Comfort Braking when it makes it to our Model Y.

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Tesla finally brings a Robotaxi update that Android users will love

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android.

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Credit: Grok

Tesla is finally bringing an update of its Robotaxi platform that Android users will love — mostly because it seems like they will finally be able to use the ride-hailing platform that the company has had active since last June.

Based on a decompile of software version 26.2.0 of the Robotaxi app, Tesla looks to be ready to roll out access to Android users.

According to the breakdown, performed by Tesla App Updates, the company is preparing to roll out an Android version of the app as it is developing several features for that operating system.

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android:

“Strings like notification_channel_robotaxid_trip_name and android_native_alicorn_eta_text show exactly how Tesla plans to replicate the iOS Live Activities experience. Instead of standard push alerts, Android users are getting a persistent, dynamically updating notification channel.”

This is a big step forward for several reasons. From a face-value perspective, Tesla is finally ready to offer Robotaxi to Android users.

The company has routinely prioritized Apple releases because there is a higher concentration of iPhone users in its ownership base. Additionally, the development process for Apple is simply less laborious.

Tesla is working to increase Android capabilities in its vehicles

Secondly, the Robotaxi rollout has been a typical example of “slowly then all at once.”

Tesla initially released Robotaxi access to a handful of media members and influencers. Eventually, it was expanded to more users, so that anyone using an iOS device could download the app and hail a semi-autonomous ride in Austin or the Bay Area.

Opening up the user base to Android users may show that Tesla is preparing to allow even more users to utilize its Robotaxi platform, and although it seems to be a few months away from only offering fully autonomous rides to anyone with app access, the expansion of the user base to an entirely different user base definitely seems like its a step in the right direction.

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