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SpaceX’s Starship to return humanity to the Moon in stunning NASA decision
In one of the biggest NASA contracting surprises in years, the space agency has chosen SpaceX – and only SpaceX – to return humans to the surface of the Moon with its next-generation Starship rocket.
The Washington Post’s Christian Davenport broke the news a few hours before NASA’s scheduled announcement and teleconference, revealing that SpaceX beat out Dynetics and a Blue Origin-led “National Team” for a sole-source contract to build, launch, and land a custom version of Starship on the Moon for $2.89 billion. If that uncrewed testing is successful, SpaceX and Starship will be tasked with landing the first astronauts on the Moon in half a century as early as the in the mid-2020s.
While a Human Landing System (HLS) announcement was fully planned and expected to happen this month, virtually everyone following the process believed that NASA would continue to lean on the rationale behind selecting multiple providers for its Commercial Resupply Services (CRS) and Commercial Crew (CCP) programs. Having multiple distinct providers, spacecraft, and rockets available to accomplish the same tasks fundamentally insulates NASA (and the International Space Station that depends on those programs) from losing the ability to transport crew or cargo in the event that any one provider is delayed or suffers a major failure.
With a goal as complex as landing humans back on the Moon for the first time since the 1970s, redundancy and multiple distinct solutions would obviously be even more desirable. Entirely contrary to expectations, NASA instead announced that it had exclusively contracted with SpaceX alone for next phase of HLS development. Though SpaceX may have been the only competitor already testing something approximating real integrated flight hardware, NASA’s decision to sole-source HLS to Starship represents a significant gamble.
Simultaneously, though, the move is also extraordinarily pragmatic and indicates that one or several major decisionmakers at NASA have taken less positive lessons from its commercial cargo and crew programs to heart. Crucially, over the first several years of the Commercial Crew Program (CCP), Congress systematically underfunded the development of two commercial crew spacecraft – one from Boeing and the other from SpaceX. As a direct result, the launch debuts of both spacecraft were delayed by several years, forcing NASA to to continue relying on Russian Soyuz launches well into the 2020s to get its astronauts to the ISS.
Additionally, SpaceX – an unequivocal underdog and newbie next to Boeing in the mid-2010s – has drastically outperformed its traditional aerospace counterpart, beating Boeing to the punch and launching astronauts first. Boeing’s Starliner is now at least 18 months behind Crew Dragon despite costing almost 60% more.
In its first year on the books, almost mirroring NASA’s Commercial Crew experience, Congress aggressively underfunded the HLS program, allotting $850M – just 25% – of the $3.4B NASA requested. In other words, NASA seems to be proceeding with HLS under the assumption that Congress – as it did with CCP – will continue to chronically underfund the lunar lander program for years to come. If that’s the case, NASA appears to have made an uncharacteristically astute decision to structure HLS not on its preferred budget – but on what the agency believes Congress will pony up.
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Put in a slightly different way, NASA is basically telling Congress that its lack of commitment has forced the agency to sole-source its lunar lander contract to SpaceX, putting the impetus on Congress to properly fund the HLS program if it wants redundant providers. All told, while NASA is undoubtedly taking a risk selecting SpaceX and Starship to return both it and humanity to the Moon, the space agency has now made it abundantly clear that it’s fully committed to the program and goal, whether or not Congress is willing to do its job.
The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.
The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.
Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.
There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.
Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:
- Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances. - Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years. - Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant. - Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS). - Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.
Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:
- FMVSS 102 – Transmission shifting
- FMVSS 103/104 – Windshield defrosting and wiping
- FMVSS 110 – Tire placards
- FMVSS 135 – Braking systems
- FMVSS 101 – Controls and displays
- FMVSS 108 – Vehicle lighting
- FMVSS 111 – Mirrors and rearview display
- FMVSS 126 – Electronic stability control systems
- FMVSS 201/208 – Sun visors and warning labels
These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.
Tesla just officially confirmed it has built its 10 millionth car, a major milestone for the company that started producing sustainable electric powertrains less than two decades ago.
In that time, Tesla has truly revolutionized the automotive industry, disrupting the idea of what a car should be, how it should be fueled, and how it truly impacts day-to-day life.
10 million vehicles produced globally.
Congrats to all Tesla teams! pic.twitter.com/JkcraR63bs— Tesla Manufacturing (@gigafactories) July 30, 2026
Tesla achieved this feat across four production facilities: the Fremont Factory in Fremont, California, Gigafactory Shanghai in China, Gigafactory Berlin in Germany, and Gigafactory Texas in Austin, Texas.
The 10 millionth vehicle was a Diamond Black Model Y.
Over the course of the past roughly 18 years, Tesla has evolved its lineup from a sporty sedan built on a Lotus body to a lineup of various body styles, performance metrics, and other characteristics that make each one unique.
This is an incredible achievement for a company that is young compared to what it goes up against. When Tesla entered the automotive market, Ford, GM, and Stellantis widely dominated the playing field. Since then, Tesla has caused such a disruption that these three massive brands had to scramble to create EV projects of their own.
Despite their best efforts, they have not been able to match the prowess or the effectiveness of Tesla. They are all reliant on Tesla’s charging infrastructure, their software is inferior, and their self-driving projects are elementary in comparison.
Tesla felt its fair share of growing pains over the years as well. As recent at 2019, there were complaints about build quality, paint quality, and overall luxuriousness. These things have all been improved upon through the company’s maturity, and these strides in quality have led to this 10 million vehicle production achievement, something that other small-and-scrappy EV makers will hope to accomplish one day.
Autonomous vehicle red tape gets slashed by Trump Administration
Elon Musk has a crazy prediction about AI in two years
