News
Renderings of SpaceX clawboat’s huge net upgrade is a taste of what’s to come
After several close-but-no-cigar attempts at snatching a Falcon 9 payload fairing out of the air, SpaceX’s iconic recovery vessel Mr Steven is currently laid up at the company’s newly-acquired Berth 240 dock space, roughly a week into the process of upgrading his arms to support a much larger net. CEO Elon Musk recently hinted that the boat’s net would be expanded by a factor of four, but what would such a dramatic growth look like?
To give a better idea of what to expect from Mr Steven’s arm and net upgrades, Teslarati’s Reese Wilson modeled and rendered the fairing recovery vessel with one such interpretation. The dimensions and aspect ratios may not be a mirror-image of the real-world Mr Steven, but the visual effect of the net upgrade is still fundamentally the same.
Mr Steven is currently laid up at Berth 240 in a sadly armless state. (Pauline Acalin)
With respect to these renders, the actual net growth is somewhat less than the full fourfold area upgrade mentioned by Musk in early June – the concept art’s net is closer to 2.5 or 3 times larger than Mr Steven’s original net. This slight inaccuracy may actually be serendipitous, as a true 4X net could be downright unwieldy without the addition of some sort of complex retraction mechanism, versus the simple but functional (and infinitely reliable) implementation of fixed steel arms at the current net’s scale.
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- A side-by-side comparison of Mr Steven before (top) and after (bottom) installation of a net with roughly 2.5X greater catching area. (Reese Wilson)
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- Incredibly, this artist rendering of a much larger net installed on Mr Steven was perhaps two or more times smaller than the solution now installed on the vessel. (Reese Wilson)
Dramatic modifications nevertheless are all but guaranteed, as Mr Steven appears to have had the entire arm apparatus – including the steel base attaching them to his cargo deck – completely removed and placed on the side of the dock, still less permanent than the apparent decision to plasma or torch cut each arm off of that base, one of which is visible dockside at Berth 240. It may be possible to re-weld those severed arms onto the base, but it’s arguably more likely that entirely new arms, an entirely new base, or both will be fabricated, and those larger arms will themselves require a much larger net.
Ultimately, the fairing recovery vessel has gotten as close as 50 meters to gently catching a parasailing rocket fairing minutes after launch, an extraordinarily tiny error compared to the broader scope of the task at hand. Upon separation from Falcon 9’s upper stage, each payload fairing half is routinely traveling at speeds of 1.5 to 2 kilometers per second and reach apogees anywhere from 100 to 130 kilometers, all while traveling the better part of a thousand miles (800 mi/1300 km for Iridium-6) to reach Mr Steven’s net. As such, “missing” by 50 meters is an extraordinary achievement.
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- A fairing floats gently into the welcoming embrace of Mr Steven’s upgrade net and arms. (Reese Wilson)
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- With any luck, viewers may get a live view of the vessel’s next recovery attempts. (Reese Wilson)
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- Mr Steven is currently undergoing arm surgery (upgrades) at SpaceX’s future BFR factory lot, known as Berth 240. (Elon Musk)
A fairing floats gently into the welcoming embrace of Mr Steven’s upgrade net and arms. (Reese Wilson)
With the vessel’s current net roughly 30 meters or 100 feet square (Mr Steven is 60m/200ft bow to stern), give or take 25%, a full fourfold upgrade would double each dimension, which could singlehandedly cut the error margin required for fairing recovery (currently 50 meters) by more than 50% if it remains square. If SpaceX finds a way to functionally achieve something close to a fourfold increase in area with a more rectangular aspect ratio (assuming that the fairing’s present error is more a matter of glideslope inaccuracy than properly pointing the half at Mr Steven), a rectangular net with a width ~50% and length ~300% larger – say 40 meters by 80 meters – would completely close the error gap between reliably missing and reliably catching Falcon fairings. To compare, a common football (soccer for our American readers) field is typically 70 meters by 100 meters.
Time will tell, and we’ll find out soon whether those arm and net upgrades can be available for SpaceX’s next California launch, currently scheduled on the morning of July 20th.
One half of SpaceX’s Iridium-6/GRACE-FO just moments before touchdown on the Pacific Ocean. (SpaceX)
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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.”
News
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
