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SpaceX considers second Crew Dragon launch pad to reduce risk from Starship
Reuters reports that SpaceX has proposed modifying a second Florida launch pad to support Crew Dragon missions after NASA raised concerns about the threat posed by plans to launch Starship out of the only pad currently certified for Dragon.
After more than a year of downtime, SpaceX restarted the construction of an orbital Starship launch site at NASA’s Kennedy Space Center LC-39A pad in late 2021. SpaceX has leased Pad 39A since 2014 and conducted 49 Falcon rocket launches out of the facility since its first use in 2017. Prior to SpaceX’s lease, Pad 39A supported 82 Space Shuttle launches from 1981 to 2011 and every Apollo Program launch to the Moon in the 1960s and 1970s, making it one of the most storied and well-used launch sites in the history of US spaceflight.
In 2018, Pad 39A began supporting launches of SpaceX’s Falcon Heavy, which was and still is the most powerful and capable rocket currently in operation. In May 2020, a Falcon 9 rocket and Crew Dragon spacecraft lifted off with two NASA astronauts in tow, marking SpaceX’s first human spaceflight and the United States’ first domestic astronaut launch of any kind since 2011. The next era of the historic pad could include Starship, a fully-reusable two-stage rocket that SpaceX has been developing in earnest since the mid-2010s. However, NASA is worried that a failure of that immense and unproven rocket could almost instantly destroy what is currently the only launch pad on Earth capable of launching the space agency’s astronauts to the International Space Station (ISS).
One certainly can’t blame NASA for worrying. In its latest iteration, SpaceX’s Starship 39A launch mount will sit roughly 1000 feet (~300m) East of Pad 39A’s existing Falcon launch facilities, which include a tower and arm that are needed for astronauts and cargo to access and board Crew and Cargo Dragons. The Starship mount is also around 1600 feet (~500m) northeast of Pad 39A’s lone horizontal integration hangar, without which Falcon launch operations would become far more difficult or even impossible.
For the Falcon pad and tower, there is a slight consolation: Starship’s own skyscraper-sized launch tower will be located directly between those Falcon facilities and Starship before and during launches and could partially protect them from any hypothetical blast. The hangar will be fully unprotected, however.
NASA is worried that if a Starship fails before or shortly after launch and explodes at or near its adjacent launch mount, it could destroy or damage the infrastructure the space agency and SpaceX need to launch Crew Dragon to the International Space Station (ISS). At the moment, Boeing – NASA’s second Commercial Crew partner – is likely a year or more away from its first operational astronaut launch, during which Falcon 9 and Crew Dragon will remain a single point of failure that could theoretically sever the space agency’s connection to its own space station at any moment.
In response to NASA’s concern, NASA executive Kathy Lueders – in an interview with Reuters – says that SpaceX has begun working with the agency on plans to both “harden” Pad 39A and modify its Cape Canaveral Space Force Station (CCSFS) LC-40 pad to support Dragon launches. According to Reuters, however, receiving approval to put those plans into action “could take months.” Depending on how significant the facilities LC-40 would need are, there’s also a chance that SpaceX would need to complete a new FAA environmental review to construct a crew access tower.
Meanwhile, Pad 39A is also the only launch pad in the world capable of supporting Falcon Heavy, which has also become an extremely important rocket for uncrewed NASA spacecraft launches, NASA’s plans to get cargo to its lunar Gateway space station, and to the US military. Modifying one of SpaceX’s other pads to support Falcon Heavy would likely be even harder and take even longer than adding Crew Dragon capabilities to LC-40. In both cases, it’s likely that NASA and the US military would strongly prefer – if they don’t eventually outright require – that SpaceX have backup options already constructed and ready to go before risking the destruction of Pad 39A with its first Starship launch.
39A’s Starship facilities could easily require another 6-12 months of work before they’ll be ready for launch, however, leaving a good amount of time for SpaceX to alleviate the concerns of its US government customers before they might actually start to disrupt plans for East Coast Starship launches.
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
