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SpaceX's latest reusable rocket booster returns to port to prepare for next launch
The first new Falcon 9 booster SpaceX has debuted in almost half a year safely returned to port after a successful first launch and landing, setting the reusable rocket up to fly again in the near future.
On December 5th, after a brief 24-hour weather-related delay, new Falcon 9 booster B1059 lifted off on its first mission, successfully sending flight-proven Cargo Dragon capsule C106 to orbit for the third time before the rocket slowed itself down and landed on drone ship Of Course I Still Love You (OCISLY).
Over the next three or so days, the SpaceX spacecraft gradually boosted and tweaked its orbit to rendezvous with the International Space Station (ISS) and ultimately began its ISS approach and berthing maneuvers on December 8th. A few hours after that, ISS astronauts successfully ‘caught’ Dragon with the station’s massive robotic arm and gently berthed the spacecraft at an open port.
Less than a day before Dragon arrived at the ISS, effectively completing the majority of its CRS-19 resupply mission, the Falcon 9 booster that launched the spacecraft wrapped up a successful launch debut by returning to a different kind of port. Falcon 9 B1059 returned to Port Canaveral aboard drone ship OCISLY on the morning of December 7th and was quickly released from SpaceX’s robotic Octagrabber robot and lifted onto dry land.
SpaceX’s 13th successful Falcon booster recovery of 2019, B1059’s return to port also marked the first flight of a new Falcon booster since June 25th – almost half a year prior. By the numbers, B1059 was subjected to a relatively gentle atmospheric reentry prior to landing aboard OCISLY, meaning that it should be easier for SpaceX technicians and engineers to recertify the rocket and turn it around for its next launch.
Depending on where SpaceX and NASA stand, the booster’s second launch could happen anywhere from 2-4 months from now. Given that NASA currently allows SpaceX to fly reused boosters on NASA missions only if those boosters have exclusively flown NASA missions in the past, B1059 could end up supporting CRS-20, SpaceX’s next and last Cargo Dragon (Dragon 1) mission. CRS-20 is scheduled to launch no earlier than (NET) March 2020 and will be followed by the launch debut of Crew Dragon’s Cargo variant as soon as August 2020, another possibility for B1059’s second flight.
However, if SpaceX follows in the footsteps of CRS-19 and instead prioritizes rapid customer launches over saving a given gently-used booster for another NASA mission, B1059 could be a prime candidate for an extremely rapid turnaround, perhaps supporting an internal SpaceX Starlink launch or any number of other customer satellite launches in early 2020. On the other hand, it’s possible that B1059 suffered an unusually damaging reentry for unknown reasons, although it’s hard to judge from photos and a layperson perspective alone.
From a few angles, it almost appears as if B1059’s white paint was completely burned or scoured off in places, leaving a distinct transition between the edge of remaining paint and the booster’s distinctly metallic-looking skin underneath it. Falcon 9’s main structure is almost entirely built out of a high-performance aluminum-lithium alloy and sealed (and partially shielded) with a multilayer temperature and corrosion-resistant coating. If B1059’s tank coating was indeed partially burned off during reentry, SpaceX will almost certainly have to perform uniquely detailed inspections to verify the structural integrity of its propellant tanks, perhaps preventing a rapid (record-breaking) turnaround.
Either way, Falcon 9 B1059 was quickly lifted off of OCISLY and technicians even managed to retract all four of the new booster’s deployable landing legs, a great sign that SpaceX is confident that the booster is in fine shape. With the addition of B1059, SpaceX’s fleet of flight-proven, flightworthy Falcon 9 boosters is now eight strong – nine if Crew Dragon’s unflown Demo-2 booster is included. That fleet will continue to grow as SpaceX gradually introduces new boosters for increasingly rare military and NASA missions.
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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
