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SpaceX Starship to land NASA astronauts on the Moon
SpaceX has won part of a new $1 billion NASA contract to create a custom version of Starship designed explicitly to send space agency astronauts and huge amounts of cargo to the Moon.
Incredibly, SpaceX won its Lunar Starship development contract alongside two others awarded by NASA – one to a Blue Origin-led coalition and the other to Dynetics and “more than 25 subcontractors”. Of the three, only SpaceX’s offering is a single-stage lunar lander, while Dynetics wants to build a two-stage lander and Blue Origin wants to build a three-stage lander. It also appears that SpaceX’s custom Starship is the only lander designed to be at least partially reusable, capable of flying “many times between the surface of the Moon and lunar orbit” according to the launch company.
While potentially very exciting, the fate of NASA’s triple-threat Moon lander contract award now rests almost entirely in the hands of Congress. As of today, NASA has committed almost $970 million to the three lunar landers it’s decided to develop, only part of which the space agency appears to have on hand and ready for dispersal. For the program to even begin to approach actual missions to the Moon, let alone astronaut landings, Congress will have to consistently raise NASA’s budget every year for at least the next five to six.
Even insofar as that required budget raise (roughly ~$3B per year) is only a 10-15% increase and is effectively a rounding error relative to the rest of the federal budget, military in particular, the odds that Congress will consistently and fully support it are not great. For example, the Commercial Crew Program (CCP) – set to attempt its inaugural astronaut launch next month – began in 2010 with the expectation it would cost around $7-8 billion and achieve its first crewed launch in 2015 or 2016.
From 2010 to 2015, Congress systematically underfunded the Commercial Crew Program for largely parochial reasons, preferring to put money into projects (typically the Space Launch System rocket, Orion spacecraft, and their launch facilities) that directly benefited their districts or states. Over half a decade, Congress supplied only 60% of the funds CCP had budgeted, a lack of resources that likely directly resulted in years of program delays. Notably, while both Boeing and SpaceX have run into significant technical hurdles and suffered their own technical delays, the companies would have almost certainly been able to discover those hurdles earlier on if they’d had the full CCP budget supporting them.
It’s entirely unclear whether NASA’s new Artemis Moon lander program will have a better or worse time than the Commercial Crew Program. The same parochial SLS/Orion/ground systems interests remain in full force in the US House and Senate and will likely not be pleased by the fact that only one of NASA’s three HLS awards could result in SLS launch contracts. Surprise winner Dynetics has proposed a lander that can launch on either SLS 1B or the United Launch Alliance (ULA) Vulcan Centaur rockets.
SpaceX’s Starship lander will unsurprisingly launch of its own Super Heavy rocket booster, while Blue Origin, Lockheed Martin, Northrup Grumman, and Draper’s lander will almost certainly launch on the former company’s New Glenn rocket.
Ultimately, this is the most significant acknowledgement and support SpaceX’s next-generation Starship rocket has ever received from NASA or the US federal government. Still, of the ~$970 million NASA has initially committed, Starship only received $135 million – nearly half as much as Dynetic received and more than four times less than Blue Origin’s award. NASA is thus clearly hinging its investment on SpaceX’s continued internal support for its next-generation, fully-reusable launch vehicle, as $135 million certainly isn’t enough for even SpaceX to build a building-sized rocket to land astronauts on the Moon.
Regardless, this is certainly one of the most intriguing possible outcomes of NASA’s Human Lander Systems contracts and should keep things very interesting – pending Congressional support – over the next several years.
News
Grok 3 by xAI Rolls Out on Azure AI Foundry with Free Trial
Grok 3 is now on Azure AI Foundry with a free preview until early June. From code to vision, Grok joins a growing roster of powerhouse models.
xAI’s Grok 3 model is now available on Microsoft’s Azure AI Foundry Models, launching with a free preview to drive AI innovation. The collaboration marks a significant step in making advanced AI accessible to developers worldwide.
Grok 3 became available on Microsoft’s Azure AI Foundry Models on May 19, 2025. Developers can explore xAI’s Grok 3 at no cost through early June. After the free trial period, Grok 3 prices will be as follows:
“Microsoft and xAI are thrilled to unveil the availability of Grok 3 into the Azure AI Foundry Models, marking a significant milestone in AI accessibility and innovation,” Microsoft stated in its announcement.
The partnership integrates xAI’s cutting-edge model with Azure’s secure, scalable infrastructure, enabling enterprise scenarios in reasoning, coding, and visual processing. Grok 3 is accessible via Azure AI Foundry’s catalog, alongside models from OpenAI, Meta, Cohere, NVIDIA, and Hugging Face, reflecting Microsoft’s commitment to a diverse AI ecosystem.
“The addition of xAI’s Grok 3 underscores Microsoft’s commitment to support an open, diverse AI ecosystem, rather than relying on a single model provider,” the company noted.
Like other AI models in Azure, developers can easily discover and deploy Grok 3’s model card. Grok 3 is also available for testing on GitHub models.
Microsoft provides two flexible deployment options for integrating xAI’s Grok 3 into applications: Standard Pay-Go or Provisioned Throughput Units (PTUs). The Standard Pay-Go option allows pay-per-token API calls for quick scaling. Meanwhile, the PTUs are better for reserved capacity with predictable latency.
“For production scenarios where you expect steady high volume or need strict latency, provisioning Grok 3 with PTUs can be cost-effective and reliable,” Microsoft advised.
The launch of Grok 3 on Azure AI Foundry empowers developers to build intelligent assistants, process large documents, or explore new AI applications. As xAI and Microsoft combine innovation with robust tools, Grok 3’s arrival signals a new era of AI development, inviting creators to leverage its capabilities and shape the future of technology.
Elon Musk
Tesla Robotaxi deemed a total failure by media — even though it hasn’t been released
Nearly two weeks before it is even set for its planned rollout, Tesla Robotaxi has already been deemed a failure — even though it is not even publicly released.
Tesla Robotaxi is among the biggest tech developments of the year, and its June launch date has not yet arrived.
This does not matter to skeptics of the company, as they have already deemed the rollout a “failure,” “an enormous mess,” and plenty of other adjectives. No matter what, several outlets are already leaning on biased opinions and a lack of true evidence that points in any direction.
Futurism posted an article this morning claiming that Robotaxi is “already an enormous mess,” citing the opinions of Dan O’Dowd, perhaps Full Self-Driving’s biggest critic. There is no mention of any of the excitement or prosperity that would come from the opposite side of the argument.
Instead, it included that O’Dowd felt it was a failure in an 80-minute drive around Santa Barbara.
This is fair to include: Full Self-Driving is not perfect, which is why Tesla will implement safeguards like teleoperation at first. However, it’s not like it’s so awful it isn’t even remotely close. Personally, my experience with FSD was incredibly successful, responsible, and it was something I still wish I had on my car to this day. I wish the article would have included a quote from someone who is as equally passionate about FSD, just from the other side of the argument.
Credit: Tesla
There is no mention of Tesla’s most recent Vehicle Safety Report, which showed Autopilot-enabled cars are nearly 10x less likely to be involved in an accident compared to the national average. This might not be the same as Full Self-Driving, but it is still a testament to what Tesla has achieved with its driver assistance systems.
To be fair, Tesla has been a company that has missed timelines, especially when it comes to FSD. I used to roll my eyes a bit when CEO Elon Musk would say, “We’ll have Full Self-Driving finished by the end of the year,” or “We’ll have a million robotaxis on the road next year.” I was always skeptical.
However, Tesla has handled things differently this year. They’ve admitted the Robotaxi rollout will be controlled at first, including a fleet of only 10-20 Model Y vehicles. It will be private at launch, and only the lucky invited will have the opportunity to experience it in Austin in June.
It might be less than a public rollout, which of course, for people like you and me, is disappointing. But let’s be real: if Tesla launched a full-blown Robotaxi platform with no regulations or small-batch testing, there would be criticism of that, too.
Some media outlets are pointing to the recent NHTSA request for more information on how Tesla’s tech will “assess the ability of Tesla’s system to react appropriately to reduced roadway visibility conditions.” This seems more than reasonable as Robotaxi will be among the first driverless ridesharing programs in the United States.
Tesla gets new information request from NHTSA on Robotaxi rollout
It’s no more than a request for information on how things will be handled and how the tech works.
It is sad to see so many outlets already deem something that could be the next big thing as a failure, despite there being no real indication of it being that or a success. Let’s be fair and give Tesla an opportunity to meet its June target and Robotaxi some time to operate and prove to be a reliable ride-share option.
News
Tesla confirms annoying Full Self-Driving feature has been fixed
Tesla has changed one of its driver monitoring features in a request from several owners.
Tesla has confirmed that an annoying Full Self-Driving feature has been fixed.
We reported last week that several owners reported changes in the feature, and now we have confirmation that it has been revised by Tesla.
Tesla Full Self-Driving (Supervised) does not require a driver’s hands to be on the steering wheel. However, eye movements and attentiveness are tracked through a cabin-facing camera, aiming to improve safety and limit loopholes in the system.
Tesla seems to have fixed one of Full Self-Driving’s most annoying features
If the system detects that your eyes are not on the road or you are not paying attention, FSD will nudge you to get them back on the road. Too many occurrences of the driver not paying attention will result in losing access to FSD for the remainder of the drive.
However, many drivers using FSD complained that the system was too quick to alert drivers of inattentiveness. Fixing things like the HVAC temperature or even Autopilot settings on the center touchscreen would get you a nudge, which seemed unreasonably fast. Many drivers said it was a seven-second limit, but it seemed faster than this.
🚨 This is really nice to hear. Tesla said they’d fix it! pic.twitter.com/lFIZGc6PQ5 https://t.co/JE4UFAWEZz
— TESLARATI (@Teslarati) May 15, 2025
In my experience, FSD nudged me to pay attention to the road when I was adjusting the speed offset, which gives the vehicle permission to travel over the speed limit by a percentage. For example, a 10% offset in a 50 MPH zone would let the car travel 55 MPH.
The nudging seemed to be too fast and annoying, and many other Tesla drivers agreed. CEO Elon Musk had even noted that the nudge was too fast and drivers were right to be annoyed with it, especially considering that, in theory, it would be safer to adjust these settings on FSD and not while operating the car manually.
Tesla took the criticism drivers had and turned it into a much-needed and notable change that has now been confirmed by Ashok Elluswamy, Head of AI and Autopilot for the company:
Was much needed
— Ashok Elluswamy (@aelluswamy) May 16, 2025
The change seems to be initiated on vehicles with Hardware 4. It is certainly a welcome change as the nudge was just a tad sensitive and could have been much more reasonable.
The adjustment made by Tesla came just a week after owners truly started becoming more vocal about the issue.
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