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SpaceX installs full set of car-sized grid fins on second Super Heavy booster
SpaceX appears to have installed a full set of car-sized grid fins on Starship’s second flightworthy Super Heavy booster, leaving the massive rocket just a few steps away from completion.
Measuring ~69m (~225 ft) tall and 9m (~30 ft) wide, Super Heavy Booster 5 (B5) – like B4 before it – will be one of two of the largest rocket boosters ever built once completed. In broad strokes, Super Heavy B4 and B5 are the same. Aside from near-identical dimensions, both have been built to hold up to 29 Raptor engines while Starbase has already begun receiving parts of the first 33-engine Super Heavy. That means that Booster 4 and 5 – while both potentially capable of flight – are also pathfinders for an upgraded version of Super Heavy with similar dimensions but the potential to produce more than 40% more thrust once Raptor 2 production takes over.
While more similar than not, there are significant differences between SpaceX’s first and second flightworthy Super Heavy boosters.
The biggest visible differences are tweaks SpaceX has made to the Super Heavy assembly process. Booster 4 was assembled out of mostly naked steel rings and only had thousands of feet of external plumbing, wiring, raceways, and hardware installed after it was stacked to its full height. That may partially be because CEO Elon Musk had ordered SpaceX to complete the first full-height Starship stack by early August, requiring the build team to prioritize speed above all else.
Regardless, SpaceX appears to be outfitting Super Heavy Booster 5’s exterior before and during the process of stacking the booster to its final height. Most sections of 3-4 steel rings have had partial plumbing and raceways preinstalled, meaning that Booster 5 will be far closer to test readiness than Booster 4 once stacking is complete. Booster 4, on the other hand, required at least several more weeks of outfitting after SpaceX briefly rolled the rocket to the orbital launch pad for a full-stack photo-op and fit check.
On October 12th, after rapidly stacking Super Heavy B5’s upper methane tank to completion, SpaceX began installing the booster’s four car-sized grid fins. Fixed in place and assembled out of welded steel unlike the Falcon family’s deployable, cast titanium fins, Super Heavy grid fins are several times larger and heavier but still serve the same purpose of stabilizing boosters during atmospheric reentry, descent, and landing. Like Booster 4, SpaceX has also installed all four Booster 5 grid fins before stacking the Super Heavy to its full 69-meter height.
Based on B4, that final stack could happen just a few days from now, though there are signs that it might take B5 a fair bit longer. Notably, whereas Booster 4’s aft liquid oxygen (LOx) tank was already fully stacked by the start of grid fin installation, Booster 5’s LOx section is still waiting on its thrust dome. That thrust section was most recently spotted inside a production tent on October 11th – far more thoroughly outfitted than Booster 4’s aft but awaiting installation nonetheless.
That slight difference in timing pales in comparison to a massive tube that may or may not have been installed inside Super Heavy B5 late last month and that definitely wasn’t installed in B4. Without official information, it’s hard to know for sure, but the general community consensus is that this new tube (possibly one of two installed inside Booster 5’s LOx tank) is some kind of header tank or sump meant to collect propellant for Super Heavy’s boostback and/or landing burn.
If SpaceX really is adding header tanks to Super Heavy, it would drastically increase the complexity of booster plumbing, potentially explaining why Super Heavy B5’s thrust section installation is taking longer than B4. Only time (and hopefully a tweet or two from Musk) will tell.
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
