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SpaceX Falcon 9 launch and landing imminent as drone ship heads to sea
SpaceX’s next Falcon 9 launch and landing is well into the late stages of preparation, leaving the company approximately 24-48 hours away from its next mission to orbit. To support the surprise ocean landing, a drone ship has already been dispatched and recently departed Port Canaveral.
After a frenetic week of preparation, tugboat Hawk departed with drone ship Of Course I Still Love You (OCISLY) on December 1st, preparing for its second recovery attempt in roughly three weeks and SpaceX’s second drone ship landing after a rare, six-month rocket landing lull. In the days leading up to the anticipated departure, workers could be seen performing a routine procedure often nicknamed a “FOD-walk” in which a given surface is scoured for Foreign Object Debris (FOD). This is most commonly performed on runways (including aircraft carriers) and attempts to mitigate or fully prevent damage from rocks and other small debris.
In the case of Falcon booster landings, the rocket’s Merlin 1D engine exhaust velocity is just shy of 3000 m/s (6700 mph), meaning that a tiny rock or leftover rocket piece could almost immediately become a high-subsonic or supersonic projectile in the seconds before touchdown. The drone ship itself is most at risk, but those theoretical projectiles could potentially bank off the platform’s exhaust shields and hit the booster itself, causing far costlier damage.
And hence the FOD-walk pictured above. Once complete, OCISLY was cleared for departure and has since made it about 75% of the way to its planned landing zone coordinates. SpaceX is currently scheduled to launch Cargo Dragon resupply mission CRS-19 on a Falcon 9 rocket no earlier than 12:51 pm EST (16:51 UTC) on December 4th, although a specific weather condition may delay the instantaneous window by 24 hours. Hawk and OCISLY should thus arrive on station one or two days before launch.
As it turns out, this Falcon 9 landing is a bit of mystery: it’s unclear why exactly SpaceX has decided to land the booster at sea instead of the usual Landing Zone recoveries that have followed most recent Cargo Dragon launches. Typically, the low insertion orbit (~200 km x ~390 km) and relatively low mass of Cargo Dragon (less than 10 tons or 22,000 lb) means that Falcon 9 has (literally) tons of propellant left over, giving it the margins needed to flip around, cancel out a huge amount of horizontal velocity, and boost 100+ km (62+ mi) back to shore.
Instead, new Falcon 9 booster B1058 is scheduled to land aboard drone ship OCISLY some 350 km (220 mi) downrange, an unusual distance. For reference, SpaceX’s May 2019 CRS-17 mission is the only time Falcon 9 has landed at sea after a CRS launch since CRS-8, the rocket’s first successful drone ship recovery. That scenario was forced because LZ-1/2 had coincidently been showered in Crew Dragon debris after C201 exploded during testing. Even then, OCISLY was stationed just 20 or so kilometers offshore, meaning that Falcon 9 B1056 still performed a routine Return To Launch Site (RTLS) landing in spirit.
In short, the ~350-km-downrange landing plan suggests that this Cargo Dragon launch may have a much smaller propellant margin than essentially every similar mission preceding it. This could be explained in a few ways. Maybe after Falcon 9 B1050’s surprise landing failure, SpaceX decided that all new Falcon 9 boosters will attempt drone ship landings after their first flight, minimizing the risk to Cape Canaveral in the event of a CRS-16 repeat. Another possibility, Crew Dragon capsule C205 – scheduled to support the spacecraft’s In-Flight Abort (IFA) test late this month or early next – may still be close to the Cape’s Landing Zones, another reason to avoid even the slightest chance of a catastrophic Falcon landing failure.
Finally, it’s also possible that CRS-19 will follow in the footsteps of CRS-18, which sported a prototype Falcon 9 upper stage designed to push the enveloped of its orbital longevity. Falcon 9 B1056 still managed to land at LZ-1 after CRS-18, but a more ambitious follow-on test could potentially require much more propellant, accounting for the drone ship’s position further downrange. With any luck, we’ll find out more later today during SpaceX, NASA, and the US Air Force’s routine pre-launch press conference – stay tuned!
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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.”
News
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
