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SpaceX gears up for busy year of Falcon Heavy launches
SpaceX is targeting no earlier than January 12th for the fifth launch of Falcon Heavy, the largest and most powerful commercial rocket in the world.
As was the case for the rocket’s third and fourth launches, the main customer behind its fifth launch is the US military. Deemed USSF-67, the mission is also expected to be very similar to Falcon Heavy’s most recent launch, USSF-44. That mission saw the massive SpaceX rocket complete its first direct launch to a geosynchronous orbit ~36,000 kilometers (~22,250 mi) above Earth’s surface, where it deployed a pair of spacecraft carrying several rideshare payloads and satellites. Save for the possibility that the US Space Force included secret payloads on USSF-44, the mission appeared to be more of a rocket test and loose collection of experiments than a major military launch.
USSF-67 will likely be similar. According to the US Space Systems Command (SSC), USSF-67 – like USSF-44 – will carry an Aerojet Rocketdyne Long Duration Propulsive EELV (LPDE) spacecraft as a main payload. Aboard LPDE-3A, which is essentially a satellite without a payload, various stakeholders will install an unknown number of experiments, instruments, and smaller satellites that can be activated or deployed once in orbit. The SSC says [PDF] that “LDPE provides critical data to inform future Space Force programs” and that “the unique experiments and prototype payloads hosted on LDPE-3A [will] advance warfighting capabilities in the areas of on-orbit threat assessment, space hazard detection, and space domain awareness.”
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
The mission will be Falcon Heavy’s second launch since June 2019 and is scheduled to lift off 72 days after the rocket’s USSF-44 launch, which finally ended its unplanned 1225-day hiatus. The schedule is reminiscent of 2019, when SpaceX launched its second and third Falcon Heavy rockets 75 days apart. The second of those two missions (STP-2) was primarily a test flight for the US Air Force (now the Space Force) meant to both push Falcon Heavy to its limits with a complex trajectory and demonstrate Falcon booster reusability. To accomplish the latter goal, STP-2 reused two of the three Falcon Heavy boosters that supported the rocket’s Arabsat 6A communications satellite launch two months prior. USSF-67 will also reuse both of USSF-44’s Falcon Heavy side boosters.
STP-2 was ultimately a near-flawless success, but endless payload delays left Falcon Heavy with nothing to launch for more than three years. Following its return to flight in late 2022, Falcon Heavy may finally be able to properly stretch its wings in 2023. Of course, this isn’t the first time that’s appeared to be the case. In February 2021, there were many signs that SpaceX was preparing to launch Falcon Heavy in mid-2021. And in late 2021, there were strong signs that SpaceX customers were on track for up to five Falcon Heavy launches in 2022.
Now, for the second time, there are five Falcon Heavy rockets tentatively scheduled to launch this year (2023). But the situation is not identical. Numerous long-delayed payloads like the first ViaSat-3 and Jupiter-3 satellites and the US military’s mysterious USSF-67 and USSF-52 spacecraft are finally on the cusp of crossing their respective finish lines. NASA’s Psyche asteroid explorer spacecraft has also survived a continuation review after running into major software issues that precluded a 2022 launch attempt. And Falcon Heavy finally launched USSF-44 – a chronically delayed mission – in November 2022.
Additionally, four of those five Falcon Heavy launches are tentatively scheduled in the first half of 2023, leaving plenty of margin for major delays in the second half of the year. But until ViaSat-3, Jupiter-3, and USSF-52 actually arrive in Florida and until NASA explicitly confirms that Psyche’s technical issues are resolved, any launch targets should be treated with extreme skepticism.
USSF-67 is thankfully much less uncertain. Like Arabsat 6A and STP-2, USSF-67 will reuse both of the Falcon Heavy side boosters recovered after USSF-44. Mirroring USSF-44, SpaceX will also intentionally expend Falcon Heavy’s new center booster to launch USSF-67 directly to geosynchronous orbit. Most importantly, LPDE-3A – the only confirmed USSF-67 payload – arrived in Florida in November 2022. USSF-67 prelaunch operations are currently running a day or two behind schedule relative to USSF-44, but all evidence indicates that the mission is on track to launch sometime in January 2023.
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
