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SpaceX Falcon Heavy rocket rolls out for first launch of 2023
SpaceX has assembled Falcon Heavy and rolled the rocket out to the launch pad for its first mission of 2023.
This particular Falcon Heavy – the fifth overall – is reusing both of the side boosters recovered from the rocket’s fourth launch. Originally scheduled to launch in late 2020, Falcon Heavy Flight 4 finally lifted off from the NASA Kennedy Space Center’s LC-39A pad on November 1st, 2022. The two-year delay was caused almost exclusively by unspecified issues with one or several of the US Space Force-44 (USSF-44) mission’s payloads, forcing SpaceX to store completed Falcon Heavy boosters for more than a year and a half.
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
Thankfully, despite an unplanned 40-month hiatus between missions, the US Space Force reported that Falcon Heavy’s fourth launch was a “simply outstanding” success. USSF-44 was SpaceX’s first attempt at a direct geosynchronous launch – one of the most difficult missions for rockets that use cryogenic liquid propellant. Falcon Heavy first launched payloads to a highly-elliptical parking orbit (~300 km x ~36,000 km) and then coasted for around six hours in the harsh vacuum of space. Once the Falcon upper stage reached that 36,000-kilometer (~22,250 mi) apogee, all the while fighting to keep its propellant from freezing into slush and boiling into gas, it ignited again to complete a circularization burn – raising the low end of its orbit (perigee) to match the apogee.
The payloads were likely deployed around 6-8 hours after liftoff. To complete such a challenging mission, SpaceX was forced to intentionally sacrifice one of Falcon Heavy’s three potentially reusable boosters. But about eight minutes after liftoff, both of the rocket’s side boosters safely touched down side by side at SpaceX’s LZ-1 and LZ-2 landing zones. Before the launch, military officials had confirmed that those boosters – B1064 and B1065 – were already expected to fly again on Falcon Heavy’s next Space Force launch, USSF-67.
Less than 70 days after their first launch and landing, SpaceX has refurbished B1064 and B1065; attached the boosters to another expendable Falcon Heavy center core and upper stage, and rolled the rocket out to Pad 39A for prelaunch testing. Its payloads and exact launch time are different, but USSF-67 is expected to be virtually identical to USSF-44 – launching directly to GSO with a lightweight collection of miscellaneous experiments and small satellites. The center core will be expended and B1064 and B1065 will attempt another simultaneous landing at LZ-1 and LZ-2.
Like USSF-44, USSF-67’s rocket rolled out for the first time without its cone-like payload fairing installed. Up next, Falcon Heavy will need to complete a wet dress rehearsal and static fire test before SpaceX and the USSF can clear it for flight. SpaceX will then lower the rocket to the ground, return it to the hangar, install the USSF-67 payload, roll the rocket back to the pad, and raise it vertical.
Unofficial but well-sourced public manifests report that SpaceX intends to launch USSF-67 four days from now, shortly before 6 pm EST (23:00 UTC) on Friday, January 13th. SpaceX took five and a half days to complete the same process for USSF-44, so a delay to January 14th or 15th would not be surprising. But at the moment, Friday’s launch attempt is scheduled shortly after sunset, potentially producing the same kind of extraordinary light shows Falcon 9 has become famous for. However, that show would be significantly magnified by Falcon Heavy’s three boosters and twin boostback burns, potentially making it one of the most visually spectacular launches ever.
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
