News
SpaceX, NASA celebrate Blue Origin’s lunar lander lawsuit loss and get back to work
In a November 9th press conference, NASA leaders have begun to publicly celebrate the end of seven months of Blue Origin litigation and disruption to its Human Landing System (HLS). A federal court’s dismissal of that lawsuit means that the space agency can finally get back to work with SpaceX on its Starship Moon lander.
Following the failure of that lawsuit, NASA administrator Bill Nelson says that it will take the space agency some time to fully determine what and how much damage Blue Origin has caused. In the briefing, Nelson and associate administrators Kathy Lueders and Jim Free confirmed that Dynetics’ protest and Blue Origin’s protest and lawsuit have delayed SpaceX’s first crewed Starship Moon landing to no earlier than (NET) 2025.
Painfully, though, the briefing primarily focused on NASA’s Space Launch System (SLS) rocket and Orion spacecraft and the latest news about the system and the space agency’s attitude towards it are not encouraging.
Namely, exemplifying just how broken and deceptive NASA’s cost “transparency” is when it comes to SLS and Orion, the space agency used the briefing to announce its first updated Orion cost projections in more than half a decade. All the way back in September 2015, NASA announced major Orion delays and revealed that it had already spent $4.7B on the spacecraft and was committing another $6.7B through its first crewed launch – then scheduled no earlier than 2023.
That’s likely where NASA is getting its magically diminished Orion cost estimate. In reality, including Bush-era Constellation Program development that began in 2006, Orion will have cost NASA and the US taxpayer almost $22 billion by the end of 2021 and before a single full-up launch. Effectively doing the bare minimum to acknowledge a sanitized version of reality, NASA now says that Orion will cost at least $9.3 billion to its first crewed launch, which has been delayed to NET May 2024. It’s entirely unclear how NASA is calculating that deflated figure but in the six years since the space agency’s 2015 announcement that it would spend another $6.7B before Orion’s first crewed launch, it’s actually spent at least $8.4B and will have blown past the latest $9.3B target by mid-2022. Barring drastic funding cuts, Orion development will actually cost the US about $12.6B from 2016 to Artemis II and ~$25.8B since 2006 (not including inflation).
In an even starker demonstration of cognitive dissonance, when a New York Times reporter asked a hard question about the possibility of sidestepping Orion and SLS to get astronauts onto SpaceX’s Starship lunar lander, Administrator Nelson – having just repeatedly discussed Starship – fell back on an old boilerplate statement that “there’s only one rocket capable of doing this” – “this” being launching humans to the Moon and returning them to Earth and that “one rocket” being SLS. Association admin Jim Free also exhibited similar confusion, stating that “the architecture…just wouldn’t work.”
In reality, as currently contracted with NASA, SpaceX’s Starship Moon lander is a highly capable crewed spacecraft that will be refueled in Earth orbit before propelling itself to lunar orbit, where an SLS-launched Orion spacecraft would join it and transfer over three astronauts. Starship would then use its own propulsion to change orbits, land on the Moon, and eventually boost back into lunar orbit to transfer that crew back to Orion for the return to Earth. Nothing short of sheer ignorance – willful or not – could prevent competent spaceflight engineers or managers from understanding the possibilities such an architecture raises.
If NASA is already committed to human-rating Starship’s propulsion systems, which it is, it doesn’t take a grand leap of imagination to consider the possibility of adding a few more burns to Starship’s extremely complex concept of operations. If, for example, Starship has enough performance to return to Earth orbit from the lunar surface, it’s not hard to imagine NASA’s Artemis astronauts boarding Starship in Earth orbit after a far cheaper commercial launch and then returning to Earth orbit to debark Starship and return to that crew-rated reentry vehicle. As it turns out, NASA already has a highly successful crew-rated commercial rocket and spacecraft that’s already operational and likely more than 10 times cheaper than SLS/Orion.
While there are obvious challenges and uncertainties with such an option, the point is more that failing to even acknowledge the possibility of alternatives is a brutal appraisal of several of NASA’s most senior leaders and confirms that the politics of a jobs program like SLS/Orion is actively disrupting their ability to engage with reality and properly manage complex, risky programs.
Ultimately, it’s great news that SpaceX and NASA can finally get back to work on their Starship Moon lander plans. However, it’s also clearer than ever that SLS and Orion will remain a noose precariously balanced around the agency’s neck, forever threatening the Artemis Program and stifling NASA’s ability to seriously plan for – let alone publicly entertain or even acknowledge – contingencies or fresh ideas.
Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.
On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.
However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.
He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.
The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.
Instead, they have asked for a full-size SUV from Tesla.
Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck
Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.
TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.
Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst
Tesla Hardware 3 owners could be made whole this month
