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SpaceX outfits first orbital-class Starship booster with grid fins, Raptor engines
In the space of two days, SpaceX has outfitted Starship’s first orbital-class Super Heavy booster with four car-sized grid fins, stacked the rocket to its full height, and begun the process of installing up to 29 Raptor engines.
As part of what CEO Elon Musk has described as a “Starbase Surge,” SpaceX has reportedly sent hundreds of employees normaly stationed in California, Florida, and Central Texas to Boca Chica. There, SpaceX has been working for months to build Starship’s first orbital launch pad and first orbital-class ship and booster and prepare all three for an inaugural “Orbital Test Flight” as quickly as possible. Originally scheduled to occur no later than July 2021, Musk’s extremely ambitious target unsurprisingly came and went but SpaceX appears to be well on its way to an “aim for the Moon; miss; fall among the stars” situation as all the parts of Starship’s orbital launch debut begin to come together.
In the last few days, it’s become abundantly clear that SpaceX is likely moving faster than even its most optimistic followers expected.
On July 30th, after less than two days of assembly, Super Heavy Booster 4’s completed (upper) methane tank stack – 13 rings and ~25m (85 ft) tall was briefly rolled out of SpaceX’s Boca Chica ‘high bay.’ A few hours later, the booster tank was rolled back in and SpaceX technicians kicked off the installation of four car-sized steel grid fins. A day and a half later, all four fins were installed.
Unlike the famous cast titanium grid fins on Falcon boosters, Super Heavy’s fins are built out of welded steel (much heavier but magnitudes cheaper) and not designed to retract, meaning that they will remain in their deployed configuration at all times. While also allowing for a much simpler design, B4’s fixed (but rotatable) grid fins will also make it dramatically easier to catch Super Heavy boosters – as Elon Musk has said is the plan – on their grid fins using a giant tower with arms.
Almost immediately after the last grid fin was installed, SpaceX moved Super Heavy B4’s larger (aft) liquid oxygen tank stack onto a stand optimized for transport and stacked the newly finned methane tank on top of the rocket, raising it to its full ~65m (~215 ft) height. After stacking, it takes a team of SpaceX welders at least several hours to join the two steel booster sections into one monolithic rocket.
At the same time as technicians were working to complete Booster 4’s airframe, SpaceX accepted delivery of no less than five Raptor engines, raising the total number of engines delivered in the last five days to at least 18 – including two Raptor Vacuum variants for Starship S20.
In a sign of the breakneck pace SpaceX is working at, teams began installing Raptor engines on Booster 4 before its two halves were fully welded together. In a matter of hours, no less than 12 Raptor Boost (RB) engines have been rolled out of one of SpaceX’s three Boca Chica factory tents and lined up for installation on the first flightworthy Super Heavy. Requiring 29 engines total, it’s not implausible that SpaceX is attempt to fully outfit Booster 4 with all of its Raptors before rolling the rocket down the road to the orbital launch pad.
According to Elon Musk, SpaceX could attempt to install the Super Heavy booster on the pad’s launch mount/table (integrated just days ago) as early as “~Tuesday” and the company has already filed for transport-related road closure on Monday afternoon.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
