News
SpaceX fairing catcher Mr. Steven to attempt first Falcon fairing catch in months
Currently stationkeeping in the Pacific Ocean 220 miles (350 km) south of SpaceX’s Vandenberg launch pad, it’s starting to look like SpaceX fairing catcher Mr. Steven will soon attempt its first operational Falcon 9 fairing recovery in more than four months.
On the tail of the SpaceX’s fourth or fifth controlled fairing drop test, a series of tests that coincided with Mr. Steven attempting no recovery during the last West Coast launch, it’s possible that SpaceX engineers now believe the company is ready to successfully catch a fairing after an actual Falcon 9 launch. If so, the twice-flown Falcon 9’s third launch – with Spaceflight’s SSO-A satellite rideshare mission in tow – is the best chance yet for SpaceX to take its last critical step towards fairing reusability.
Good News and Bad News! Firstly, launch is pushed back a day till the 3rd. The good news is that Mr Steven's destination is set to SSO-A and might make a catch attempt! pic.twitter.com/3FNvifyRPX
— Gav Cornwell (@SpaceOffshore) December 2, 2018
Over the last four months, Mr. Steven’s crew of SpaceX and GO engineers and technicians have gradually introduced significant modifications to the vessel’s fairing recovery hardware, including major changes to the net’s motorized rigging, the installation of a curious lone arm on his bow, and – most recently – an odd mini-net that appears to be able to move around the gap between Mr. Steven’s main net and deck.
Aside from extensive (albeit subtle) hardware modifications, SpaceX workers conducted no less than four dedicated fairing drop tests, in which a helicopter would lift a specially-modified Falcon fairing half, releasing it around 10,000 feet so that it could deploy its parafoil and glide towards attempted soft landings in Mr. Steven’s net. While it’s almost impossible to know without official confirmation whether any drop test actually occurred, the fairing half involved clearly survived each trip out to sea and is currently stationed out of the way at SpaceX’s Berth 240 facilities.
At one point, the recognizable test-specific fairing half did return to port in Mr. Steven’s net and remained there overnight, perhaps indicating that SpaceX saw some success with its experimental drop-and-catch tests. A step further, while it’s fairly easy to literally discern the changes made to Mr. Steven over the last several months, it’s impossible to know just how much the fairing’s own guidance and navigation computers (GNC) and aerodynamic control surfaces (a steerable parafoil) factored into several failed recovery attempts after launches.
More likely than not, Mr. Steven is no more responsible for ensuring fairings are caught than SpaceX’s drone ships are for Falcon 9 booster landings – the most they can typically do is be in the right spot at the right time, although Mr. Steven does admittedly have a bit more flexibility to adjust his net’s position at the last second. Given that SpaceX intentionally avoided a fairing recovery attempt during October 7’s West Coast Falcon 9 launch, choosing instead to travel to the vicinity of Catalina Island for controlled experiments, it seems improbable that SpaceX would attempt another post-launch fairing recovery unless if the program’s engineers hadn’t gained some level of additional confidence.
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- A very sooty B1046 is – fingers crossed – at long last ready for its third flight after almost three weeks of delays. (Pauline Acalin)
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- Soot, o’ glorious soot. (Pauline Acalin)
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- Mr. Steven’s main net has sprouting a forest of additional rigging over the last month or two. (Pauline Acalin)
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- Main net, meet bby net. (Pauline Acalin)
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- What dat net do?
As such, the launch of SSO-A – already a milestone by thanks to its twice-flown Falcon 9 booster – may also be SpaceX’s best chance yet at successfully catching a Falcon 9 payload fairing in Mr. Steven’s net. Questions remain, of course. What does his cabled unicorn horn accomplish? Why the recent installation of a tiny secondary net? What exactly has Mr. Steven been up to lately in the Pacific Ocean? Who knows, but make sure to watch SpaceX’s launch attempt – NET 10:32 am PST (17:32 UTC) December 3rd – live tomorrow.
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
