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SpaceX completes Falcon 9 test fire, space station supply mission up next
After almost exactly 15 months of dormancy, SpaceX’s Launch Complex 40 (LC-40) came to life with the roar of nine Merlin 1D rocket engines as Falcon 9 1035 conducted its second pre-launch static fire in preparation for the company’s 13th Commercial Resupply Services mission, CRS-13. Previously tasked with the launch of the CRS-11 Cargo Dragon, the booster completed its mission and returned safely to Landing Zone-1 (LZ-1) on June 3 2017. The path towards LC-40’s reactivation has delayed the launch approximately one week, but December 6th’s successful static fire bodes well for the current launch date, 11:46 AM on December 12.
Static fire test of Falcon 9 complete—targeting launch of CRS-13 on December 12 from Pad 40, followed by launch of Zuma from Pad 40 in early January.
— SpaceX (@SpaceX) December 6, 2017
On September 6 2016, LC-40 was effectively destroyed over the course of the Amos-6 failure. In months that followed, SpaceX reactivated LC-39A in order to continue chipping away at the company’s launch manifest, but also began the slow process of damage assessment and reconstruction of LC-40. It is safe to assume that almost every single component of the ground support equipment (GSE) was completely replaced, and interviews with Cape Canaveral’s 45th Space Wing commander suggest that SpaceX went further still, transforming the painful situation into an opportunity.
In an exclusive and frank conversation between Brig. Gen. Wayne Monteith and Florida Today’s Emre Kelly, the commander suggested that extensive design changes and additional hardening measures implemented during reconstruction are expected to make LC-40 exceptionally resilient to the rigors of rocket launches. Most tellingly, if perhaps overly optimistic, Monteith estimated that a second vehicle failure on the order of Amos-6 might only take two months to recover from, compared to the 15 months that followed Amos-6. He attributed this claim to GSE that is now largely buried underground, theoretically protecting the vast apparatus of hand-welded piping necessary to fuel the Falcon 9 launch vehicle. The replacement Transporter/Erector/Launcher (TEL) tasked with supporting Falcon 9 during integration and launch also appears to have been modernized, and will likely end up looking quite similar to the monolithic white TEL that resides at LC-39A.
Rocket and spacecraft for CRS-13 are flight-proven. Falcon 9’s first stage previously launched SpaceX’s eleventh resupply mission for @NASA, and Dragon flew to the @Space_Station in support of our sixth cargo resupply mission. pic.twitter.com/RY4F2TrWO2
— SpaceX (@SpaceX) December 6, 2017
With CRS-13’s static fire now complete, the mission is set to become the fifth operational reuse of a flight-proven Falcon 9 booster in 2017, thanks to NASA’s unusually rapid acceptance of the new practice. Further still, if Iridium-4’s December 22 launch date holds, and it does look to be stable for the moment, SpaceX will rather incredibly have conducted five commercial reuses of a Falcon 9 in its first year of operations, meaning that one third of SpaceX’s 2017 missions will have launched aboard flight-proven boosters. Also impressive is SpaceX’s full-stop move towards the reuse of Cargo Dragon capsules, and the company stated over the summer that it was hoping to almost completely redirect Cargo Dragon’s manufacturing facilities towards Dragon 2, also known as Crew Dragon. This was most recently reiterated several months ago and is presumed to still be the company’s goal moving forward, and CRS-12 is believed to have been the last “new” Cargo Dragon that will fly. CRS-13’s Dragon previously flew the CRS-6 mission in April 2015.
Photos shared privately with the author show CRS-13’s Falcon 9 to be covered in a graceful layer of soot from its previous recovery, similar in appearance to Falcon 9 1021 seen above. (Instagram/bambi_mydear)
In a December 6 tweet, SpaceX further confirmed that the deeply secretive Zuma mission, previously delayed from an early-November launch as a result of concerns about fairing defects, has now been moved from LC-39A to LC-40 and is understood to be targeting January 4 2018. This will give SpaceX approximately three weeks after the launch of CRS-13 to verify that everything is functioning nominally in what is essentially a new pad.
Meanwhile, with Zuma now officially moved to 40, LC-39A is completely free from routine operations, meaning that SpaceX’s ground crew can now work at will to ready the pad for the inaugural launch of Falcon Heavy, now aiming for early 2018. Aside from Falcon Heavy, recent FCC filings point to two additional SpaceX launches aiming for January, although slips are probable in light of CRS-13’s minor delays. Regardless, December and January are likely to be thrilling months for followers of the intrepid space exploration outfit.
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
