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SpaceX isn’t giving up on catching rocket fairings, boat spotted with new net
SpaceX fairing recovery vessel Mr. Steven was spotted in Port of San Pedro on January 22nd performing tests with two fairings in its net, hinting at the challenging logistics of safely recovering both Falcon 9 fairing halves with one ship.
Although SpaceX engineers and technicians have yet to catch a parasailing Falcon 9 fairing (let alone two) after an actual operational launch, a series of controlled fairing drop tests – using a barge and a helicopter – have brought Mr. Steven agonizingly close to success, evidenced by an official video published by SpaceX earlier this month.
Two fairing halves, each in a separate net aboard Mr Steven this morning. #spacex pic.twitter.com/beYSFQwcYr
— Pauline Acalin (@w00ki33) January 23, 2019
Teslarati photographer Pauline Acalin managed to make it to Berth 240 in time to capture one section of SpaceX’s fairing recovery testing, in which Mr. Steven was loaded with two fairings, one on the large main net (the passive half) and one (the active half) atop a much smaller net slack on the vessel’s deck. By asymmetrically actuating each net’s separate electric motors, recovery technicians appear to be able to control fairing half orientation and shift their position in the net. It’s unclear how exactly Mr. Steven’s main (top) and secondary (bottom) nets are meant to interface insofar as it does not appear physically possible for a fairing half in the top net to make its way to the bottom net without the intervention of dockside cranes.
Perhaps more importantly, local photographer Jack Beyer was able to observe additional activities just prior to Pauline’s arrival, capturing what looked like a weighted parachute drop test onto either Mr. Steven’s net or the concrete docks beside the vessel.
So far they’ve placed one fairing half in the top net with another in the bottom, and done at least one drop test of a weight with a parachute. ? pic.twitter.com/MkWb9l9lqz
— Jack Beyer (@thejackbeyer) January 22, 2019
The goal of that parachute/weight drop test is entirely opaque. Regardless, Tuesday’s tests do seem to indicate that SpaceX is thinking about recovering both post-launch Falcon fairing halves with a single Mr. Steven, a capability upgrade that would make the incomplete challenge of catching fairings even more difficult. Assuming both fairing halves deploy their parafoils at roughly the same time, it might be possible for the autonomous parafoils to modify trajectories in such a way that a gap of seconds or even minutes could be created between both planned splashdowns, offering Mr. Steven a minute or two to free its net of the first captured half before gently catching the second.
Despite the fact that SpaceX has not yet had operational success in the ~12 months recovery engineers and technicians have been working with Mr. Steven, tests like those performed on Tuesday have continued to reliably occur. If anything, the fact that experiments with dual-fairing recovery operations are still on the table is an encouraging indication that fairing recovery and reuse – particularly with Mr. Steven in the loop – are still a priority at SpaceX, while also suggesting that the company’s engineers and technicians are extremely confident that repeatable success is just a matter of refinement.
This should not come as a much of a surprise given that Falcon 9 began propulsive soft landing attempts in September 2013, 27 months before the company’s first successful Falcon 9 booster recovery. Nevertheless, SpaceX attempted its first actual landing aboard a drone ship in January 2015, separating the first attempt from the first successful landing by just less than 12 months. Fairing recovery is clearly an entirely different beast but the gist of this analogy remains true regardless – SpaceX’s brilliant engineers and technicians are unlikely to give up until a given problem is solved or their efforts are redirected elsewhere as company priorities shift.
Recent fairing recovery test with Mr. Steven. So close! pic.twitter.com/DFSCfBnM0Y
— SpaceX (@SpaceX) January 8, 2019
Berth 240’s uncertain future
In the meantime, SpaceX may soon have to move Mr. Steven’s Port of San Pedro operations elsewhere according to a report from the LA Times that the company plans to “terminate [its] Terminal Island lease agreement.” SpaceX was unable to offer further insight beyond a statement provided about the future of BFR’s manufacturing, initially planned to occur at a dedicated factory that would have been built at Berth 240, which has also acted as Mr. Steven’s home for the last eight months.
Given the lack of official insight into the proceedings, it’s ambiguous if the terminated lease will be modified to allow for Mr. Steven to continue operating out of Berth 240. Prior to moving to Berth 240, SpaceX stationed Mr. Steven at Berth 52, home of drone ship Just Read The Instructions (JRTI) and support vessel NRC Quest. Space is already tight at that site, however, making it a suboptimal replacement for Berth 240.
While I feel crushed about #SpaceX pulling the #SuperHeavy out of the @PortofLA, I feel confident that other innovators will see the huge value they get in San Pedro. (1/2)
— Joe Buscaino (@JoeBuscaino) January 16, 2019
SpaceX signed its Berth 240 lease near the end of March 2018 and would have reached the first anniversary of its prospective BFR factory around two months from now. For now, only SpaceX seems to know where Mr. Steven’s operations and the first BFR (Starship/Super Heavy) production will ultimately be located.
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
