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SpaceX’s next Falcon Heavy rocket on track for early 2023 launch
Two weeks after SpaceX’s first Falcon Heavy launch in three and a half years, the US Space Force says that the rocket is on track to launch again “early next year.”
Immediately before and after Falcon Heavy’s first operational launch for the US Space Force, the Space Systems Command confirmed that the massive SpaceX rocket’s next military launch – USSF-67 – was scheduled no earlier than January 2023. The military also confirmed that USSF-67 would reuse two of the three Falcon Heavy boosters that helped launch USSF-44 on November 1st.
Two weeks later, the US Space Force’s tone hasn’t changed, and the Space Systems Command remains confident that Falcon Heavy is on track to launch USSF-67 less than three months after USSF-44.
Assuming the lack of a schedule change is intentional rather than a matter of not checking with SpaceX or other US stakeholders, no change is a good sign. Since the last time the SSC reported that USSF-67 was on track to launch in January 2023, SpaceX successfully launched its fourth Falcon Heavy rocket. USSF-44 was the company’s first launch directly into a geosynchronous orbit ~36,000 kilometers (~22,300 mi) above Earth’s surface.
SpaceX successfully recovered both of Falcon Heavy’s ‘side cores’ and has likely had enough time to thoroughly inspect each booster and begin the refurbishment process. If data gathered from the launch, landing, or recovered boosters uncovered issues with Falcon Heavy’s performance during USSF-44, USSF-67 would almost certainly be delayed. The chances of a delay are magnified by the fact that USSF-67 can’t launch until two of USSF-44’s Falcon Heavy boosters are refurbished and declared ready for a second flight.
But it appears that even a gap of 40 months between Falcon Heavy launches wasn’t enough to make SpaceX falter – at least after working out some prelaunch kinks. SpaceX accomplished a similar feat – launching two Falcon Heavy rockets in less than three months with one pair of side boosters – on the rocket’s second and third launches in April and June 2019. The mission that reused Flight 2’s side boosters was for the US Air Force, so SpaceX and the military already have direct experience tackling those challenges.
In the three and a half years since, SpaceX has gained a huge amount of experience recovering and refurbishing Falcon 9 Block 5 boosters and slashed its record turnaround (the time between two launches of the same booster) from 74 days to 21 days. SpaceX should thus have no issue turning Falcon Heavy side boosters B1064 and B1065 around for a second launch in January 2023, around 60 to 91 after their debut.
While preparing one Falcon Heavy rocket to launch USSF-67 in January, SpaceX – at least according to customer ViaSat – may also be preparing another Falcon Heavy rocket to launch the first ViaSat-3 satellite the same month. Unlike the US Space Force, which recently shipped [PDF] one of USSF-67’s payloads to Florida, ViaSat has yet to ship its first next-generation satellite to the launch site and says that milestone is scheduled for December 2022. That makes a February or March launch much more likely, but ViaSat recently told shareholders that ViaSat-3 remains on track to launch “in the earliest part of” Q1 2023.
Combined, USSF-67 and ViaSat-3 are scheduled to reuse Falcon Heavy side boosters B1064, B1065, B1052, and B1053. Each will use a brand new center core: B1068 for ViaSat-3 and B1079 for USSF-67, according to Next Spaceflight. Like USSF-44, which was the first time SpaceX intentionally expended a Falcon Heavy booster, both new center cores are expected to be expended.
For several reasons, assembling and preparing Falcon Heavy for launch is significantly more time-consuming than Falcon 9, so there will likely be at least a two, three, or even four-week gap between Falcon Heavy’s next two launches. But as long as USSF-67 and ViaSat-3 are ready to fly during narrow windows in early and late January, it appears that SpaceX could launch two Falcon Heavy rockets in one calendar month.
SpaceX has as many as five Falcon Heavy launches scheduled in 2023 – a stark change after more than three years without a single flight.
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
