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SpaceX’s BFR factory in LA spied with four Falcon 9 fairing halves
In an unexpected turn of events, Teslarati photographer Pauline Acalin came across a remarkable scene in Port of Los Angeles – four flight-proven Falcon 9 fairing halves temporarily stored on a plot of land soon to become SpaceX’s dedicated BFR factory.
While it’s difficult to guess exactly which fairing half is which, it appears that the halves from PAZ, Iridium-5, and Iridium-6 are present and accounted for. Reminiscent of SpaceX’s late-2016, early-2017 struggles with finding enough space to store their massive flight-proven Falcon 9 boosters, these fairing halves are unable to be reused as a consequence of too much saltwater exposure, making it significantly easier for the company to effectively find any old plot of SpaceX land on which to store them.
A massive panorama of Berth 240 shows the abandoned shipyard in all its gritty glory, as well as initial construction preparations underway. (Pauline Acalin)
Officially in early 2018, SpaceX is leasing Berth 240 with the explicit intent of constructing a dedicated facility for production of their first Mars rocket prototypes, as well as the relocation of Falcon 9 and Dragon recovery ops, which are quite space-constrained at their current berths. By all appearances, contractor Buntich is staging equipment ahead of initial demolition, refurbishment, and construction operations at Berth 240. Known predominately for pipeline and utility construction and refurbishment, it’s likely that the contractor is in the very early stages of modernizing the decades-abandoned shipyard, particularly, utilities like water, gas, electricity, and more.
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- One half of SpaceX’s Iridium-6/GRACE-FO just moments before touchdown on the Pacific Ocean. (SpaceX)
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- From left to right, my best guess for each fairing is PAZ, Iridium-6 Half 1, Iridium-5, and Iridium-6 Half 2. (Pauline Acalin)
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- Less than a year after SpaceX quite literally scrapped its Port of San Pedro presence, the company is again in talks to build a Starship factory in California. (Pauline Acalin)
It may be fairly clear why SpaceX is storing four massive, unwieldy, and unreusable Falcon 9 fairing halves at Berth 240, but it’s much less clear what exactly their fates will be. With yet another added to the pack just this morning after a successful half recovery post-SES-12, SpaceX’s awkward fairing fleet is likely up to six structurally-intact halves now. These halves could be used for drop testing to perfect fairing recovery accuracy and ensure, at long last, that recovery vessel and claw-boat Mr Steven can catch them out of the air, avoiding the vast majority of exposure to seawater. SpaceX CEO Elon Musk recently noted that Mr Steven’s net would apparently be massively expanded, quadrupling its area to relieve some of the burdens of precision currently placed almost entirely on each payload fairing’s navigational capabilities.
Yup, we are extending the net area by a factor of 4
— Elon Musk (@elonmusk) June 5, 2018
Whether drop testing will actually be conducted is thus unclear, as a decision to expand Mr Steven’s net at least partially indicates that SpaceX engineers are less confident in the each half’s ability to reduce their margins of error by approximately 50%. A quadrupling of usable area implies that Mr Steven’s net will most likely be stretched twofold length-wise and width-wise, or perhaps by 50% for the width and 150% for the length to avoid a need for either an elaborate arm retraction mechanism or a comically unwieldy net.
Either way, Mr Steven’s next fairing catch attempt is unlikely to occur until the Falcon 9 Block 5 launch of Iridium-7, currently no earlier than mid-July. This gives recovery engineers and technicians at least five weeks to refine fairing accuracy and expand Mr Steven’s net, and Pauline will undoubtedly be there to capture any significant developments aboard the eclectic vessel as both it and drone ship Just Read The Instructions prepare for a return to action.
It’s difficult to imagine how Mr Steven’s already vast net could plausibly be expanded by a factor of two in each dimension. I certainly can’t wait to see what that looks like! Fairing aboard, Mr Steven performed rapid turns and high-speed sprints with the fairing half aboard. (Pauline Acalin)
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
