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SpaceX converts Falcon Heavy booster into Falcon 9
More than two years after the rocket’s last launch, SpaceX appears to have finally decided to give at least one of two surviving Falcon Heavy Block 5 cores a new lease on life as a Falcon 9 booster.
Known as B1052, the Falcon Heavy side core or booster debuted in April 2019 as part of the first flight of the rocket’s Block 5 variant, successfully launching Saudi Arabia’s large Arabsat 6A communications satellite to an almost 90,000 km (56,000 mi) transfer orbit. Following in the footsteps of the first Falcon Heavy, the first Block 5 vehicle repeated its predecessor’s iconic double-landing back at Cape Canaveral. Just 74 days later, both Falcon Heavy Block 5 side boosters B1052 and B1053 launched again, this time supporting the US military’s long-delayed STP-2 rideshare and qualification mission.
Once again, B1052 and B1053 stuck near-simultaneous landings at SpaceX’s Landing Zones. Both missions’ center cores, however, weren’t so lucky. During Arabsat 6A, the first Falcon Heavy Block 5 center core did successfully land but high seas eventually toppled the booster, destroying it and leaving few intact remains. During STP-2, CEO Elon Musk revealed that SpaceX didn’t actually expect to recover the mission’s replacement center core due to the exceptionally hot reentry it would need to survive. As predicted, the center core did not survive, with Musk later reporting that the hot reentry damaged thrust vectoring hardware, causing the rocket to veer off course.
Thankfully, both side boosters aced all four of their collective landings. However, despite previous statements from Musk indicating that Falcon’s new Block 5 design made it fairly easy to convert Falcon first stages between Falcon 9 and Falcon Heavy side booster configurations, both B1052 and B1053 dropped off the face of the Earth immediately after completing STP-2. Only in September 2021, 27 months later, did one of the two cores finally reappear in public – sans landing legs and grid fins but with a nosecone still installed.
As is now clear, that surprise appearance after years in storage was no coincidence. A bit less than three months later after the mystery Falcon Heavy side booster was spotted rolling down a Kennedy Space Center highway from a Cape Canaveral storage hangar to a new SpaceX facility, one of the two side boosters (B1052) was spotted once again – this time with landing legs and a Falcon 9 interstage installed where a nosecone once sat.
Aside from having clearly been converted into a Falcon 9 booster, former Falcon Heavy side booster B1052 was also mated to a new expendable upper stage – a strong indication of an imminent launch. Word on the ground is that the rocket and transporter were on their way to SpaceX’s Cape Canaveral Space Force Station (CCSFS) LC-40 pad for the company’s planned December 18th launch of Turkey’s Turksat 5B communications satellite.
Following SpaceX’s successful NASA IXPE launch on December 9th, the company has two more East Coast launches planned before the end of the year: Turksat 5B NET December 18th and CRS-24 NET December 21st. Several other Falcon 9 boosters (save for B1062, which is probably assigned to CRS-24) are likely available to launch Turksat 5B, so B1052’s assignment – while not implausible – isn’t guaranteed.
Above all else, B1052’s second life as a Falcon 9 is exciting because it means that B1053 probably isn’t far behind it, meaning that SpaceX’s fleet of operational Falcon boosters is about to grow significantly in a short period of time. As of now, that fleet contains eight Falcon 9 boosters that have each completed an average of more than six orbital-class launches. Half have flown nine times. Aside from expanding that fleet by 25%, the reintroduction of B1052 and B1053 will free up SpaceX to retire older boosters like B1049 and B1051, which CEO Elon Musk has said are slower and more expensive to reuse.
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
