News
SpaceX’s Mr Steven spotted in high-speed test at sea with upgraded net
SpaceX’s newly-outfitted recovery vessel Mr Steven was recently captured conducting aggressive maneuvers off the coast of Port of Los Angeles, just days after the vessel’s massive new arms and net were installed for the first time. The intense pace of upgrades and acceptance testing confirm beyond any reasonable doubt that SpaceX does not intend to waste its next Falcon 9 fairing recovery attempt, set to accompany the July 25th launch of Iridium-7.
The iconic fairing recovery vessel has – for the past three or four weeks – been undergoing major upgrades to its arms or claws, as well as a massive, new net spanning nearly 0.9 acres (3700 m²). With what appears to be a genuine fourfold increase in usable area for fairing recoveries, SpaceX likely has a very strong chance of actually pulling off its first successful catches and reuses of Falcon 9 payload farings, valued at roughly 5% of the rocket’s cost ($3 million per a $60 million base price) per half. Manufacturing cost and price to the customer are difficult to compare, but it at least offers a hint of the full cost of each ~800 kg segment of carbon fiber and aluminum honeycomb.
Mr Steven seen just after a day spent conducting sea-trials a few miles offshore, July 14. (Pauline Acalin)
Based on photos and video captured between July 12 and 15, Mr Steven’s crew and recovery technicians appeared to waste no time at all leaping from arm and net installation to sea-trials of the new hardware at least as extreme as anything previously observed from the SpaceX-leased vessel. Less than half an hour after leaving the harbor for the first time since his massive new arms arrived, Marinetraffic tracking data showed that Mr Steven was already performing aggressive turns and sprints at speeds up to 20 knots (~25 mph), fairly impressive given the vessel’s 200 foot (62 meter) length and gross weight of nearly 200,000 pounds (82,000 kg).
While this may seem impressive, Mr Steven is a class of ship known as a Fast Supply Vessel (FSV) designed to routinely transport a full 400 metric tons of cargo on its deck at cruising speeds of 23 knots (27 mph), which means that the only thing Mr Steven’s wildly expansive arms likely challenge is the vessel’s center of gravity (balance), hence the follow-up tests with hard turns at high speed.
Also of interest, an extraordinary video of some of that testing – unofficially captured, somehow, by drone – showed the ship aggressively maneuvering in reverse, an ability that could come in useful during recovery attempts if the expanded net’s coincidental protection of Mr Steven’s cockpit means that it can become a less fixed element, actively seeking out falling fairings to help close the gap on each parasailing half’s 50 meter error margin.
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- Mr Steven makes some serious waves, using his pod thrusters to strafe backwards at 5-10 knots. (anonymous)
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- It’s subtle, but a small plus sign appears to ‘mark the spot’ on Mr Steven’s new net, stretching roughly 60×60 meters. (anonymous)
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- Mr Steven shows off the fancy new rigging of that upgraded net. (Pauline Acalin)
Another opportunity fast approaches
Previously scheduled for July 20, Iridium’s NEXT 7 multi-satellite launch was pushed back a handful of days to July 25 to give SpaceX engineers and technicians additional time to prepare what is the company’s third Block 5 Falcon 9 to roll off its Hawthorne, CA assembly line. While suboptimal for the customer and for SpaceX’s manifest, that slight delay very likely padded slim schedule margins for Mr Steven’s major arm upgrades, meaning that the vessel will now be able to participate in the imminent launch’s recovery operations. After the first flightworthy vehicle’s debut in May 2018, SpaceX’s rocket production has ramped up in quite an extreme fashion, jumping from four first stages produced in six months to another three or four boosters completed and tested in Texas in just two months.
While the transportation of Falcon fairings and upper stages is far harder to keep track of, production of those critical components of the rocket have also reached throughput levels that are new territory for SpaceX, including an impressive statistic of an average of one full Merlin 1D rocket engine manufactured daily according to an individual with experience on the factory floor.
The Block 5 iteration of the workhorse SpaceX vehicle is in many ways a wholly new rocket, featuring an array of upgrades that include new heat shielding at the rocket’s base, interstage, and legs; retractable landing legs, upgraded Merlin 1D engines, and a clean-sweep refresh of the vehicle’s avionics, to name just a handful of the major changes included.
SpaceX technicians wrench on a trio of varied Merlin 1Ds in McGregor, Texas, where every single engine is test-fired before being attached to a Falcon 9. (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
